2016-02-09 23:12:00 +00:00
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// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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2017-07-15 23:03:42 +00:00
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// This source code is licensed under both the GPLv2 (found in the
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// COPYING file in the root directory) and Apache 2.0 License
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// (found in the LICENSE.Apache file in the root directory).
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2014-10-31 23:31:25 +00:00
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//
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// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file. See the AUTHORS file for names of contributors.
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2020-07-22 18:03:29 +00:00
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#include "db/compaction/compaction_job.h"
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2014-10-31 23:31:25 +00:00
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#include <algorithm>
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2019-09-20 19:00:55 +00:00
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#include <cinttypes>
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Shared dictionary compression using reference block
Summary:
This adds a new metablock containing a shared dictionary that is used
to compress all data blocks in the SST file. The size of the shared dictionary
is configurable in CompressionOptions and defaults to 0. It's currently only
used for zlib/lz4/lz4hc, but the block will be stored in the SST regardless of
the compression type if the user chooses a nonzero dictionary size.
During compaction, computes the dictionary by randomly sampling the first
output file in each subcompaction. It pre-computes the intervals to sample
by assuming the output file will have the maximum allowable length. In case
the file is smaller, some of the pre-computed sampling intervals can be beyond
end-of-file, in which case we skip over those samples and the dictionary will
be a bit smaller. After the dictionary is generated using the first file in a
subcompaction, it is loaded into the compression library before writing each
block in each subsequent file of that subcompaction.
On the read path, gets the dictionary from the metablock, if it exists. Then,
loads that dictionary into the compression library before reading each block.
Test Plan: new unit test
Reviewers: yhchiang, IslamAbdelRahman, cyan, sdong
Reviewed By: sdong
Subscribers: andrewkr, yoshinorim, kradhakrishnan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D52287
2016-04-28 00:36:03 +00:00
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#include <memory>
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2022-07-24 00:38:49 +00:00
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#include <optional>
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2015-09-10 20:50:00 +00:00
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#include <set>
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#include <utility>
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Shared dictionary compression using reference block
Summary:
This adds a new metablock containing a shared dictionary that is used
to compress all data blocks in the SST file. The size of the shared dictionary
is configurable in CompressionOptions and defaults to 0. It's currently only
used for zlib/lz4/lz4hc, but the block will be stored in the SST regardless of
the compression type if the user chooses a nonzero dictionary size.
During compaction, computes the dictionary by randomly sampling the first
output file in each subcompaction. It pre-computes the intervals to sample
by assuming the output file will have the maximum allowable length. In case
the file is smaller, some of the pre-computed sampling intervals can be beyond
end-of-file, in which case we skip over those samples and the dictionary will
be a bit smaller. After the dictionary is generated using the first file in a
subcompaction, it is loaded into the compression library before writing each
block in each subsequent file of that subcompaction.
On the read path, gets the dictionary from the metablock, if it exists. Then,
loads that dictionary into the compression library before reading each block.
Test Plan: new unit test
Reviewers: yhchiang, IslamAbdelRahman, cyan, sdong
Reviewed By: sdong
Subscribers: andrewkr, yoshinorim, kradhakrishnan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D52287
2016-04-28 00:36:03 +00:00
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#include <vector>
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2014-10-31 23:31:25 +00:00
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2021-06-24 23:11:07 +00:00
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#include "db/blob/blob_counting_iterator.h"
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2020-10-26 20:50:03 +00:00
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#include "db/blob/blob_file_addition.h"
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#include "db/blob/blob_file_builder.h"
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2014-10-31 23:31:25 +00:00
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#include "db/builder.h"
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2021-06-09 22:40:16 +00:00
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#include "db/compaction/clipping_iterator.h"
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2022-07-14 03:54:49 +00:00
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#include "db/compaction/compaction_state.h"
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2019-05-31 18:52:59 +00:00
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#include "db/db_impl/db_impl.h"
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2014-10-31 23:31:25 +00:00
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#include "db/dbformat.h"
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2018-06-28 19:23:57 +00:00
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#include "db/error_handler.h"
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2015-05-28 20:37:47 +00:00
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#include "db/event_helpers.h"
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2022-03-12 00:13:23 +00:00
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#include "db/history_trimming_iterator.h"
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2014-10-31 23:31:25 +00:00
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#include "db/log_writer.h"
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2015-09-10 21:35:25 +00:00
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#include "db/merge_helper.h"
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2018-12-18 01:26:56 +00:00
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#include "db/range_del_aggregator.h"
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2022-07-24 00:38:49 +00:00
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#include "db/version_edit.h"
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2014-10-31 23:31:25 +00:00
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#include "db/version_set.h"
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2019-05-30 03:44:08 +00:00
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#include "file/filename.h"
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2019-09-16 17:31:27 +00:00
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#include "file/read_write_util.h"
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2019-05-30 03:44:08 +00:00
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#include "file/sst_file_manager_impl.h"
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2019-09-16 17:31:27 +00:00
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#include "file/writable_file_writer.h"
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2019-06-01 00:19:43 +00:00
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#include "logging/log_buffer.h"
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#include "logging/logging.h"
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2017-04-06 02:02:00 +00:00
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#include "monitoring/iostats_context_imp.h"
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#include "monitoring/thread_status_util.h"
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2021-05-12 19:34:22 +00:00
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#include "options/configurable_helper.h"
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2021-02-11 06:18:33 +00:00
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#include "options/options_helper.h"
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2015-09-10 21:35:25 +00:00
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#include "port/port.h"
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2014-10-31 23:31:25 +00:00
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#include "rocksdb/db.h"
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#include "rocksdb/env.h"
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2022-07-24 00:38:49 +00:00
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#include "rocksdb/options.h"
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2014-10-31 23:31:25 +00:00
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#include "rocksdb/statistics.h"
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#include "rocksdb/status.h"
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#include "rocksdb/table.h"
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2021-05-12 19:34:22 +00:00
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#include "rocksdb/utilities/options_type.h"
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2017-02-03 00:38:40 +00:00
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#include "table/merging_iterator.h"
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2014-10-31 23:31:25 +00:00
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#include "table/table_builder.h"
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2022-05-19 18:04:21 +00:00
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#include "table/unique_id_impl.h"
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2019-05-31 00:39:43 +00:00
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#include "test_util/sync_point.h"
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2014-10-31 23:31:25 +00:00
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#include "util/stop_watch.h"
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2020-02-20 20:07:53 +00:00
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namespace ROCKSDB_NAMESPACE {
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2014-10-31 23:31:25 +00:00
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2018-04-11 17:47:54 +00:00
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const char* GetCompactionReasonString(CompactionReason compaction_reason) {
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switch (compaction_reason) {
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case CompactionReason::kUnknown:
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return "Unknown";
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case CompactionReason::kLevelL0FilesNum:
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return "LevelL0FilesNum";
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case CompactionReason::kLevelMaxLevelSize:
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return "LevelMaxLevelSize";
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case CompactionReason::kUniversalSizeAmplification:
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return "UniversalSizeAmplification";
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case CompactionReason::kUniversalSizeRatio:
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return "UniversalSizeRatio";
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case CompactionReason::kUniversalSortedRunNum:
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return "UniversalSortedRunNum";
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case CompactionReason::kFIFOMaxSize:
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return "FIFOMaxSize";
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case CompactionReason::kFIFOReduceNumFiles:
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return "FIFOReduceNumFiles";
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case CompactionReason::kFIFOTtl:
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return "FIFOTtl";
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case CompactionReason::kManualCompaction:
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return "ManualCompaction";
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case CompactionReason::kFilesMarkedForCompaction:
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return "FilesMarkedForCompaction";
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case CompactionReason::kBottommostFiles:
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return "BottommostFiles";
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case CompactionReason::kTtl:
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return "Ttl";
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case CompactionReason::kFlush:
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return "Flush";
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case CompactionReason::kExternalSstIngestion:
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return "ExternalSstIngestion";
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Periodic Compactions (#5166)
Summary:
Introducing Periodic Compactions.
This feature allows all the files in a CF to be periodically compacted. It could help in catching any corruptions that could creep into the DB proactively as every file is constantly getting re-compacted. And also, of course, it helps to cleanup data older than certain threshold.
- Introduced a new option `periodic_compaction_time` to control how long a file can live without being compacted in a CF.
- This works across all levels.
- The files are put in the same level after going through the compaction. (Related files in the same level are picked up as `ExpandInputstoCleanCut` is used).
- Compaction filters, if any, are invoked as usual.
- A new table property, `file_creation_time`, is introduced to implement this feature. This property is set to the time at which the SST file was created (and that time is given by the underlying Env/OS).
This feature can be enabled on its own, or in conjunction with `ttl`. It is possible to set a different time threshold for the bottom level when used in conjunction with ttl. Since `ttl` works only on 0 to last but one levels, you could set `ttl` to, say, 1 day, and `periodic_compaction_time` to, say, 7 days. Since `ttl < periodic_compaction_time` all files in last but one levels keep getting picked up based on ttl, and almost never based on periodic_compaction_time. The files in the bottom level get picked up for compaction based on `periodic_compaction_time`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5166
Differential Revision: D14884441
Pulled By: sagar0
fbshipit-source-id: 408426cbacb409c06386a98632dcf90bfa1bda47
2019-04-11 02:24:25 +00:00
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case CompactionReason::kPeriodicCompaction:
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return "PeriodicCompaction";
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2021-08-09 19:50:19 +00:00
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case CompactionReason::kChangeTemperature:
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return "ChangeTemperature";
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Make it possible to force the garbage collection of the oldest blob files (#8994)
Summary:
The current BlobDB garbage collection logic works by relocating the valid
blobs from the oldest blob files as they are encountered during compaction,
and cleaning up blob files once they contain nothing but garbage. However,
with sufficiently skewed workloads, it is theoretically possible to end up in a
situation when few or no compactions get scheduled for the SST files that contain
references to the oldest blob files, which can lead to increased space amp due
to the lack of GC.
In order to efficiently handle such workloads, the patch adds a new BlobDB
configuration option called `blob_garbage_collection_force_threshold`,
which signals to BlobDB to schedule targeted compactions for the SST files
that keep alive the oldest batch of blob files if the overall ratio of garbage in
the given blob files meets the threshold *and* all the given blob files are
eligible for GC based on `blob_garbage_collection_age_cutoff`. (For example,
if the new option is set to 0.9, targeted compactions will get scheduled if the
sum of garbage bytes meets or exceeds 90% of the sum of total bytes in the
oldest blob files, assuming all affected blob files are below the age-based cutoff.)
The net result of these targeted compactions is that the valid blobs in the oldest
blob files are relocated and the oldest blob files themselves cleaned up (since
*all* SST files that rely on them get compacted away).
These targeted compactions are similar to periodic compactions in the sense
that they force certain SST files that otherwise would not get picked up to undergo
compaction and also in the sense that instead of merging files from multiple levels,
they target a single file. (Note: such compactions might still include neighboring files
from the same level due to the need of having a "clean cut" boundary but they never
include any files from any other level.)
This functionality is currently only supported with the leveled compaction style
and is inactive by default (since the default value is set to 1.0, i.e. 100%).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8994
Test Plan: Ran `make check` and tested using `db_bench` and the stress/crash tests.
Reviewed By: riversand963
Differential Revision: D31489850
Pulled By: ltamasi
fbshipit-source-id: 44057d511726a0e2a03c5d9313d7511b3f0c4eab
2021-10-12 01:00:44 +00:00
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case CompactionReason::kForcedBlobGC:
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return "ForcedBlobGC";
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2022-10-04 21:53:32 +00:00
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case CompactionReason::kRoundRobinTtl:
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return "RoundRobinTtl";
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Add missing range conflict check between file ingestion and RefitLevel() (#10988)
Summary:
**Context:**
File ingestion never checks whether the key range it acts on overlaps with an ongoing RefitLevel() (used in `CompactRange()` with `change_level=true`). That's because RefitLevel() doesn't register and make its key range known to file ingestion. Though it checks overlapping with other compactions by https://github.com/facebook/rocksdb/blob/7.8.fb/db/external_sst_file_ingestion_job.cc#L998.
RefitLevel() (used in `CompactRange()` with `change_level=true`) doesn't check whether the key range it acts on overlaps with an ongoing file ingestion. That's because file ingestion does not register and make its key range known to other compactions.
- Note that non-refitlevel-compaction (e.g, manual compaction w/o RefitLevel() or general compaction) also does not check key range overlap with ongoing file ingestion for the same reason.
- But it's fine. Credited to cbi42's discovery, `WaitForIngestFile` was called by background and foreground compactions. They were introduced in https://github.com/facebook/rocksdb/commit/0f88160f67d36ea30e3aca3a3cef924c3a009be6, https://github.com/facebook/rocksdb/commit/5c64fb67d2fc198f1a73ff3ae543749a6a41f513 and https://github.com/facebook/rocksdb/commit/87dfc1d23e0e16ff73e15f63c6fa0fb3b3fc8c8c.
- Regardless, this PR registers file ingestion like a compaction is a general approach that will also add range conflict check between file ingestion and non-refitlevel-compaction, though it has not been the issue motivated this PR.
Above are bugs resulting in two bad consequences:
- If file ingestion and RefitLevel() creates files in the same level, then range-overlapped files will be created at that level and caught as corruption by `force_consistency_checks=true`
- If file ingestion and RefitLevel() creates file in different levels, then with one further compaction on the ingested file, it can result in two same keys both with seqno 0 in two different levels. Then with iterator's [optimization](https://github.com/facebook/rocksdb/blame/c62f3221698fd273b673d4f7e54eabb8329a4369/db/db_iter.cc#L342-L343) that assumes no two same keys both with seqno 0, it will either break this assertion in debug build or, even worst, return value of this same key for the key after it, which is the wrong value to return, in release build.
Therefore we decide to introduce range conflict check for file ingestion and RefitLevel() inspired from the existing range conflict check among compactions.
**Summary:**
- Treat file ingestion job and RefitLevel() as `Compaction` of new compaction reasons: `CompactionReason::kExternalSstIngestion` and `CompactionReason::kRefitLevel` and register/unregister them. File ingestion is treated as compaction from L0 to different levels and RefitLevel() as compaction from source level to target level.
- Check for `RangeOverlapWithCompaction` with other ongoing compactions, `RegisterCompaction()` on this "compaction" before changing the LSM state in `VersionStorageInfo`, and `UnregisterCompaction()` after changing.
- Replace scattered fixes (https://github.com/facebook/rocksdb/commit/0f88160f67d36ea30e3aca3a3cef924c3a009be6, https://github.com/facebook/rocksdb/commit/5c64fb67d2fc198f1a73ff3ae543749a6a41f513 and https://github.com/facebook/rocksdb/commit/87dfc1d23e0e16ff73e15f63c6fa0fb3b3fc8c8c.) that prevents overlapping between file ingestion and non-refit-level compaction with this fix cuz those practices are easy to overlook.
- Misc: logic cleanup, see PR comments
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10988
Test Plan:
- New unit test `DBCompactionTestWithOngoingFileIngestionParam*` that failed pre-fix and passed afterwards.
- Made compatible with existing tests, see PR comments
- make check
- [Ongoing] Stress test rehearsal with normal value and aggressive CI value https://github.com/facebook/rocksdb/pull/10761
Reviewed By: cbi42
Differential Revision: D41535685
Pulled By: hx235
fbshipit-source-id: 549833a577ba1496d20a870583d4caa737da1258
2022-12-29 23:05:36 +00:00
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case CompactionReason::kRefitLevel:
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return "RefitLevel";
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2018-04-11 17:47:54 +00:00
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case CompactionReason::kNumOfReasons:
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// fall through
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default:
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assert(false);
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return "Invalid";
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}
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}
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2022-10-22 15:57:38 +00:00
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const char* GetCompactionPenultimateOutputRangeTypeString(
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Compaction::PenultimateOutputRangeType range_type) {
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switch (range_type) {
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case Compaction::PenultimateOutputRangeType::kNotSupported:
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return "NotSupported";
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case Compaction::PenultimateOutputRangeType::kFullRange:
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return "FullRange";
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case Compaction::PenultimateOutputRangeType::kNonLastRange:
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return "NonLastRange";
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case Compaction::PenultimateOutputRangeType::kDisabled:
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return "Disabled";
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default:
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assert(false);
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return "Invalid";
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}
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}
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2014-10-31 23:31:25 +00:00
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CompactionJob::CompactionJob(
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2016-09-23 23:34:04 +00:00
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int job_id, Compaction* compaction, const ImmutableDBOptions& db_options,
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2021-05-20 04:40:43 +00:00
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const MutableDBOptions& mutable_db_options, const FileOptions& file_options,
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VersionSet* versions, const std::atomic<bool>* shutting_down,
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2022-04-11 17:26:55 +00:00
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LogBuffer* log_buffer, FSDirectory* db_directory,
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FSDirectory* output_directory, FSDirectory* blob_output_directory,
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Statistics* stats, InstrumentedMutex* db_mutex,
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ErrorHandler* db_error_handler,
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2015-05-06 02:01:12 +00:00
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std::vector<SequenceNumber> existing_snapshots,
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2015-12-08 20:25:48 +00:00
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SequenceNumber earliest_write_conflict_snapshot,
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CompactionIterator sees consistent view of which keys are committed (#9830)
Summary:
**This PR does not affect the functionality of `DB` and write-committed transactions.**
`CompactionIterator` uses `KeyCommitted(seq)` to determine if a key in the database is committed.
As the name 'write-committed' implies, if write-committed policy is used, a key exists in the database only if
it is committed. In fact, the implementation of `KeyCommitted()` is as follows:
```
inline bool KeyCommitted(SequenceNumber seq) {
// For non-txn-db and write-committed, snapshot_checker_ is always nullptr.
return snapshot_checker_ == nullptr ||
snapshot_checker_->CheckInSnapshot(seq, kMaxSequence) == SnapshotCheckerResult::kInSnapshot;
}
```
With that being said, we focus on write-prepared/write-unprepared transactions.
A few notes:
- A key can exist in the db even if it's uncommitted. Therefore, we rely on `snapshot_checker_` to determine data visibility. We also require that all writes go through transaction API instead of the raw `WriteBatch` + `Write`, thus at most one uncommitted version of one user key can exist in the database.
- `CompactionIterator` outputs a key as long as the key is uncommitted.
Due to the above reasons, it is possible that `CompactionIterator` decides to output an uncommitted key without
doing further checks on the key (`NextFromInput()`). By the time the key is being prepared for output, the key becomes
committed because the `snapshot_checker_(seq, kMaxSequence)` becomes true in the implementation of `KeyCommitted()`.
Then `CompactionIterator` will try to zero its sequence number and hit assertion error if the key is a tombstone.
To fix this issue, we should make the `CompactionIterator` see a consistent view of the input keys. Note that
for write-prepared/write-unprepared, the background flush/compaction jobs already take a "job snapshot" before starting
processing keys. The job snapshot is released only after the entire flush/compaction finishes. We can use this snapshot
to determine whether a key is committed or not with minor change to `KeyCommitted()`.
```
inline bool KeyCommitted(SequenceNumber sequence) {
// For non-txn-db and write-committed, snapshot_checker_ is always nullptr.
return snapshot_checker_ == nullptr ||
snapshot_checker_->CheckInSnapshot(sequence, job_snapshot_) ==
SnapshotCheckerResult::kInSnapshot;
}
```
As a result, whether a key is committed or not will remain a constant throughout compaction, causing no trouble
for `CompactionIterator`s assertions.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9830
Test Plan: make check
Reviewed By: ltamasi
Differential Revision: D35561162
Pulled By: riversand963
fbshipit-source-id: 0e00d200c195240341cfe6d34cbc86798b315b9f
2022-04-14 18:11:04 +00:00
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const SnapshotChecker* snapshot_checker, JobContext* job_context,
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std::shared_ptr<Cache> table_cache, EventLogger* event_logger,
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bool paranoid_file_checks, bool measure_io_stats, const std::string& dbname,
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CompactionJobStats* compaction_job_stats, Env::Priority thread_pri,
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const std::shared_ptr<IOTracer>& io_tracer,
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2022-06-07 01:32:26 +00:00
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const std::atomic<bool>& manual_compaction_canceled,
|
2021-06-07 18:40:31 +00:00
|
|
|
const std::string& db_id, const std::string& db_session_id,
|
2022-03-12 00:13:23 +00:00
|
|
|
std::string full_history_ts_low, std::string trim_ts,
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
BlobFileCompletionCallback* blob_callback, int* bg_compaction_scheduled,
|
|
|
|
int* bg_bottom_compaction_scheduled)
|
2021-04-22 20:01:00 +00:00
|
|
|
: compact_(new CompactionState(compaction)),
|
2018-04-11 17:47:54 +00:00
|
|
|
compaction_stats_(compaction->compaction_reason(), 1),
|
2021-04-22 20:01:00 +00:00
|
|
|
db_options_(db_options),
|
2021-05-20 04:40:43 +00:00
|
|
|
mutable_db_options_copy_(mutable_db_options),
|
2021-04-22 20:01:00 +00:00
|
|
|
log_buffer_(log_buffer),
|
|
|
|
output_directory_(output_directory),
|
|
|
|
stats_(stats),
|
|
|
|
bottommost_level_(false),
|
|
|
|
write_hint_(Env::WLTH_NOT_SET),
|
|
|
|
compaction_job_stats_(compaction_job_stats),
|
2022-07-14 03:54:49 +00:00
|
|
|
job_id_(job_id),
|
2015-06-02 21:12:23 +00:00
|
|
|
dbname_(dbname),
|
2020-06-17 17:55:42 +00:00
|
|
|
db_id_(db_id),
|
|
|
|
db_session_id_(db_session_id),
|
Introduce a new storage specific Env API (#5761)
Summary:
The current Env API encompasses both storage/file operations, as well as OS related operations. Most of the APIs return a Status, which does not have enough metadata about an error, such as whether its retry-able or not, scope (i.e fault domain) of the error etc., that may be required in order to properly handle a storage error. The file APIs also do not provide enough control over the IO SLA, such as timeout, prioritization, hinting about placement and redundancy etc.
This PR separates out the file/storage APIs from Env into a new FileSystem class. The APIs are updated to return an IOStatus with metadata about the error, as well as to take an IOOptions structure as input in order to allow more control over the IO.
The user can set both ```options.env``` and ```options.file_system``` to specify that RocksDB should use the former for OS related operations and the latter for storage operations. Internally, a ```CompositeEnvWrapper``` has been introduced that inherits from ```Env``` and redirects individual methods to either an ```Env``` implementation or the ```FileSystem``` as appropriate. When options are sanitized during ```DB::Open```, ```options.env``` is replaced with a newly allocated ```CompositeEnvWrapper``` instance if both env and file_system have been specified. This way, the rest of the RocksDB code can continue to function as before.
This PR also ports PosixEnv to the new API by splitting it into two - PosixEnv and PosixFileSystem. PosixEnv is defined as a sub-class of CompositeEnvWrapper, and threading/time functions are overridden with Posix specific implementations in order to avoid an extra level of indirection.
The ```CompositeEnvWrapper``` translates ```IOStatus``` return code to ```Status```, and sets the severity to ```kSoftError``` if the io_status is retryable. The error handling code in RocksDB can then recover the DB automatically.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5761
Differential Revision: D18868376
Pulled By: anand1976
fbshipit-source-id: 39efe18a162ea746fabac6360ff529baba48486f
2019-12-13 22:47:08 +00:00
|
|
|
file_options_(file_options),
|
2014-10-31 23:31:25 +00:00
|
|
|
env_(db_options.env),
|
2020-09-08 17:49:01 +00:00
|
|
|
io_tracer_(io_tracer),
|
2020-08-13 00:28:10 +00:00
|
|
|
fs_(db_options.fs, io_tracer),
|
Introduce a new storage specific Env API (#5761)
Summary:
The current Env API encompasses both storage/file operations, as well as OS related operations. Most of the APIs return a Status, which does not have enough metadata about an error, such as whether its retry-able or not, scope (i.e fault domain) of the error etc., that may be required in order to properly handle a storage error. The file APIs also do not provide enough control over the IO SLA, such as timeout, prioritization, hinting about placement and redundancy etc.
This PR separates out the file/storage APIs from Env into a new FileSystem class. The APIs are updated to return an IOStatus with metadata about the error, as well as to take an IOOptions structure as input in order to allow more control over the IO.
The user can set both ```options.env``` and ```options.file_system``` to specify that RocksDB should use the former for OS related operations and the latter for storage operations. Internally, a ```CompositeEnvWrapper``` has been introduced that inherits from ```Env``` and redirects individual methods to either an ```Env``` implementation or the ```FileSystem``` as appropriate. When options are sanitized during ```DB::Open```, ```options.env``` is replaced with a newly allocated ```CompositeEnvWrapper``` instance if both env and file_system have been specified. This way, the rest of the RocksDB code can continue to function as before.
This PR also ports PosixEnv to the new API by splitting it into two - PosixEnv and PosixFileSystem. PosixEnv is defined as a sub-class of CompositeEnvWrapper, and threading/time functions are overridden with Posix specific implementations in order to avoid an extra level of indirection.
The ```CompositeEnvWrapper``` translates ```IOStatus``` return code to ```Status```, and sets the severity to ```kSoftError``` if the io_status is retryable. The error handling code in RocksDB can then recover the DB automatically.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5761
Differential Revision: D18868376
Pulled By: anand1976
fbshipit-source-id: 39efe18a162ea746fabac6360ff529baba48486f
2019-12-13 22:47:08 +00:00
|
|
|
file_options_for_read_(
|
|
|
|
fs_->OptimizeForCompactionTableRead(file_options, db_options_)),
|
2014-10-31 23:31:25 +00:00
|
|
|
versions_(versions),
|
|
|
|
shutting_down_(shutting_down),
|
2021-06-07 18:40:31 +00:00
|
|
|
manual_compaction_canceled_(manual_compaction_canceled),
|
2014-10-31 23:31:25 +00:00
|
|
|
db_directory_(db_directory),
|
2020-10-26 20:50:03 +00:00
|
|
|
blob_output_directory_(blob_output_directory),
|
2016-02-17 23:20:23 +00:00
|
|
|
db_mutex_(db_mutex),
|
2018-06-28 19:23:57 +00:00
|
|
|
db_error_handler_(db_error_handler),
|
2015-05-06 02:01:12 +00:00
|
|
|
existing_snapshots_(std::move(existing_snapshots)),
|
2015-12-08 20:25:48 +00:00
|
|
|
earliest_write_conflict_snapshot_(earliest_write_conflict_snapshot),
|
2017-10-06 17:26:38 +00:00
|
|
|
snapshot_checker_(snapshot_checker),
|
CompactionIterator sees consistent view of which keys are committed (#9830)
Summary:
**This PR does not affect the functionality of `DB` and write-committed transactions.**
`CompactionIterator` uses `KeyCommitted(seq)` to determine if a key in the database is committed.
As the name 'write-committed' implies, if write-committed policy is used, a key exists in the database only if
it is committed. In fact, the implementation of `KeyCommitted()` is as follows:
```
inline bool KeyCommitted(SequenceNumber seq) {
// For non-txn-db and write-committed, snapshot_checker_ is always nullptr.
return snapshot_checker_ == nullptr ||
snapshot_checker_->CheckInSnapshot(seq, kMaxSequence) == SnapshotCheckerResult::kInSnapshot;
}
```
With that being said, we focus on write-prepared/write-unprepared transactions.
A few notes:
- A key can exist in the db even if it's uncommitted. Therefore, we rely on `snapshot_checker_` to determine data visibility. We also require that all writes go through transaction API instead of the raw `WriteBatch` + `Write`, thus at most one uncommitted version of one user key can exist in the database.
- `CompactionIterator` outputs a key as long as the key is uncommitted.
Due to the above reasons, it is possible that `CompactionIterator` decides to output an uncommitted key without
doing further checks on the key (`NextFromInput()`). By the time the key is being prepared for output, the key becomes
committed because the `snapshot_checker_(seq, kMaxSequence)` becomes true in the implementation of `KeyCommitted()`.
Then `CompactionIterator` will try to zero its sequence number and hit assertion error if the key is a tombstone.
To fix this issue, we should make the `CompactionIterator` see a consistent view of the input keys. Note that
for write-prepared/write-unprepared, the background flush/compaction jobs already take a "job snapshot" before starting
processing keys. The job snapshot is released only after the entire flush/compaction finishes. We can use this snapshot
to determine whether a key is committed or not with minor change to `KeyCommitted()`.
```
inline bool KeyCommitted(SequenceNumber sequence) {
// For non-txn-db and write-committed, snapshot_checker_ is always nullptr.
return snapshot_checker_ == nullptr ||
snapshot_checker_->CheckInSnapshot(sequence, job_snapshot_) ==
SnapshotCheckerResult::kInSnapshot;
}
```
As a result, whether a key is committed or not will remain a constant throughout compaction, causing no trouble
for `CompactionIterator`s assertions.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9830
Test Plan: make check
Reviewed By: ltamasi
Differential Revision: D35561162
Pulled By: riversand963
fbshipit-source-id: 0e00d200c195240341cfe6d34cbc86798b315b9f
2022-04-14 18:11:04 +00:00
|
|
|
job_context_(job_context),
|
2014-10-31 23:31:25 +00:00
|
|
|
table_cache_(std::move(table_cache)),
|
2015-05-06 02:01:12 +00:00
|
|
|
event_logger_(event_logger),
|
Add options.compaction_measure_io_stats to print write I/O stats in compactions
Summary:
Add options.compaction_measure_io_stats to print out / pass to listener accumulated time spent on write calls. Example outputs in info logs:
2015/08/12-16:27:59.463944 7fd428bff700 (Original Log Time 2015/08/12-16:27:59.463922) EVENT_LOG_v1 {"time_micros": 1439422079463897, "job": 6, "event": "compaction_finished", "output_level": 1, "num_output_files": 4, "total_output_size": 6900525, "num_input_records": 111483, "num_output_records": 106877, "file_write_nanos": 15663206, "file_range_sync_nanos": 649588, "file_fsync_nanos": 349614797, "file_prepare_write_nanos": 1505812, "lsm_state": [2, 4, 0, 0, 0, 0, 0]}
Add two more counters in iostats_context.
Also add a parameter of db_bench.
Test Plan: Add a unit test. Also manually verify LOG outputs in db_bench
Subscribers: leveldb, dhruba
Differential Revision: https://reviews.facebook.net/D44115
2015-08-13 00:24:45 +00:00
|
|
|
paranoid_file_checks_(paranoid_file_checks),
|
2017-11-10 17:25:26 +00:00
|
|
|
measure_io_stats_(measure_io_stats),
|
2020-11-12 19:40:52 +00:00
|
|
|
thread_pri_(thread_pri),
|
2021-03-18 03:43:22 +00:00
|
|
|
full_history_ts_low_(std::move(full_history_ts_low)),
|
2022-03-12 00:13:23 +00:00
|
|
|
trim_ts_(std::move(trim_ts)),
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
blob_callback_(blob_callback),
|
|
|
|
extra_num_subcompaction_threads_reserved_(0),
|
|
|
|
bg_compaction_scheduled_(bg_compaction_scheduled),
|
|
|
|
bg_bottom_compaction_scheduled_(bg_bottom_compaction_scheduled) {
|
2020-10-01 19:51:33 +00:00
|
|
|
assert(compaction_job_stats_ != nullptr);
|
2015-07-15 06:12:34 +00:00
|
|
|
assert(log_buffer_ != nullptr);
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
|
2016-01-26 00:26:53 +00:00
|
|
|
const auto* cfd = compact_->compaction->column_family_data();
|
2023-04-21 16:07:18 +00:00
|
|
|
ThreadStatusUtil::SetEnableTracking(db_options_.enable_thread_tracking);
|
|
|
|
ThreadStatusUtil::SetColumnFamily(cfd);
|
2015-03-13 17:45:40 +00:00
|
|
|
ThreadStatusUtil::SetThreadOperation(ThreadStatus::OP_COMPACTION);
|
2015-05-07 05:50:35 +00:00
|
|
|
ReportStartedCompaction(compaction);
|
2015-03-13 17:45:40 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
CompactionJob::~CompactionJob() {
|
|
|
|
assert(compact_ == nullptr);
|
|
|
|
ThreadStatusUtil::ResetThreadStatus();
|
|
|
|
}
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2018-04-13 00:55:14 +00:00
|
|
|
void CompactionJob::ReportStartedCompaction(Compaction* compaction) {
|
|
|
|
ThreadStatusUtil::SetThreadOperationProperty(ThreadStatus::COMPACTION_JOB_ID,
|
|
|
|
job_id_);
|
2015-05-07 05:50:35 +00:00
|
|
|
|
|
|
|
ThreadStatusUtil::SetThreadOperationProperty(
|
|
|
|
ThreadStatus::COMPACTION_INPUT_OUTPUT_LEVEL,
|
|
|
|
(static_cast<uint64_t>(compact_->compaction->start_level()) << 32) +
|
|
|
|
compact_->compaction->output_level());
|
|
|
|
|
2015-06-03 00:07:16 +00:00
|
|
|
// In the current design, a CompactionJob is always created
|
|
|
|
// for non-trivial compaction.
|
|
|
|
assert(compaction->IsTrivialMove() == false ||
|
2015-07-08 22:21:10 +00:00
|
|
|
compaction->is_manual_compaction() == true);
|
2015-06-03 00:07:16 +00:00
|
|
|
|
2015-05-07 05:50:35 +00:00
|
|
|
ThreadStatusUtil::SetThreadOperationProperty(
|
|
|
|
ThreadStatus::COMPACTION_PROP_FLAGS,
|
2015-07-13 19:11:05 +00:00
|
|
|
compaction->is_manual_compaction() +
|
2015-07-08 22:21:10 +00:00
|
|
|
(compaction->deletion_compaction() << 1));
|
2015-05-07 05:50:35 +00:00
|
|
|
|
|
|
|
ThreadStatusUtil::SetThreadOperationProperty(
|
|
|
|
ThreadStatus::COMPACTION_TOTAL_INPUT_BYTES,
|
|
|
|
compaction->CalculateTotalInputSize());
|
|
|
|
|
|
|
|
IOSTATS_RESET(bytes_written);
|
|
|
|
IOSTATS_RESET(bytes_read);
|
|
|
|
ThreadStatusUtil::SetThreadOperationProperty(
|
|
|
|
ThreadStatus::COMPACTION_BYTES_WRITTEN, 0);
|
|
|
|
ThreadStatusUtil::SetThreadOperationProperty(
|
|
|
|
ThreadStatus::COMPACTION_BYTES_READ, 0);
|
|
|
|
|
|
|
|
// Set the thread operation after operation properties
|
|
|
|
// to ensure GetThreadList() can always show them all together.
|
2018-04-13 00:55:14 +00:00
|
|
|
ThreadStatusUtil::SetThreadOperation(ThreadStatus::OP_COMPACTION);
|
2015-06-03 00:07:16 +00:00
|
|
|
|
2020-10-01 19:51:33 +00:00
|
|
|
compaction_job_stats_->is_manual_compaction =
|
|
|
|
compaction->is_manual_compaction();
|
|
|
|
compaction_job_stats_->is_full_compaction = compaction->is_full_compaction();
|
2015-05-07 05:50:35 +00:00
|
|
|
}
|
|
|
|
|
2014-10-31 23:31:25 +00:00
|
|
|
void CompactionJob::Prepare() {
|
2015-03-13 17:45:40 +00:00
|
|
|
AutoThreadOperationStageUpdater stage_updater(
|
|
|
|
ThreadStatus::STAGE_COMPACTION_PREPARE);
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2021-03-26 04:17:17 +00:00
|
|
|
// Generate file_levels_ for compaction before making Iterator
|
2015-08-19 15:52:22 +00:00
|
|
|
auto* c = compact_->compaction;
|
2022-07-15 04:49:34 +00:00
|
|
|
ColumnFamilyData* cfd = c->column_family_data();
|
|
|
|
assert(cfd != nullptr);
|
|
|
|
assert(cfd->current()->storage_info()->NumLevelFiles(
|
2018-04-13 00:55:14 +00:00
|
|
|
compact_->compaction->level()) > 0);
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2022-07-15 04:49:34 +00:00
|
|
|
write_hint_ = cfd->CalculateSSTWriteHint(c->output_level());
|
2015-08-19 15:52:22 +00:00
|
|
|
bottommost_level_ = c->bottommost_level();
|
2015-08-18 18:06:23 +00:00
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
if (c->ShouldFormSubcompactions()) {
|
2022-07-31 18:39:16 +00:00
|
|
|
StopWatch sw(db_options_.clock, stats_, SUBCOMPACTION_SETUP_TIME);
|
|
|
|
GenSubcompactionBoundaries();
|
2022-07-24 00:38:49 +00:00
|
|
|
}
|
Fix subcompaction bug to allow running two subcompactions (#11501)
Summary:
as reported in https://github.com/facebook/rocksdb/issues/11476, RocksDB currently does not execute compactions in two subcompactions even when they qualify. This PR fixes this issue.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11501
Test Plan:
* Add a new unit test.
* Run crash test with max_subcompactions=2: `python3 tools/db_crashtest.py blackbox --simple --subcompactions=2 --target_file_size_base=1048576 --compaction_style=0`
* saw logs showing compactions being executed as 2 subcompactions
```
2023/06/01-17:28:44.028470 3147486 (Original Log Time 2023/06/01-17:28:44.025972) EVENT_LOG_v1 {"time_micros": 1685665724025939, "job": 6, "event": "compaction_finished", "compaction_time_micros": 34539, "compaction_time_cpu_micros": 26404, "output_level": 6, "num_output_files": 2, "total_output_size": 1109796, "num_input_records": 13188, "num_output_records": 13021, "num_subcompactions": 2, "output_compression": "NoCompression", "num_single_delete_mismatches": 0, "num_single_delete_fallthrough": 0, "lsm_state": [0, 0, 0, 0, 0, 0, 13]}
```
Reviewed By: ajkr
Differential Revision: D46411497
Pulled By: cbi42
fbshipit-source-id: 3ebfc02e19f78f782e114a9546dc3d481d496258
2023-06-06 20:36:02 +00:00
|
|
|
if (boundaries_.size() >= 1) {
|
2015-09-10 20:50:00 +00:00
|
|
|
for (size_t i = 0; i <= boundaries_.size(); i++) {
|
2022-07-24 00:38:49 +00:00
|
|
|
compact_->sub_compact_states.emplace_back(
|
|
|
|
c, (i != 0) ? std::optional<Slice>(boundaries_[i - 1]) : std::nullopt,
|
|
|
|
(i != boundaries_.size()) ? std::optional<Slice>(boundaries_[i])
|
|
|
|
: std::nullopt,
|
|
|
|
static_cast<uint32_t>(i));
|
2022-07-31 18:39:16 +00:00
|
|
|
// assert to validate that boundaries don't have same user keys (without
|
|
|
|
// timestamp part).
|
|
|
|
assert(i == 0 || i == boundaries_.size() ||
|
|
|
|
cfd->user_comparator()->CompareWithoutTimestamp(
|
2022-09-15 04:59:56 +00:00
|
|
|
boundaries_[i - 1], boundaries_[i]) < 0);
|
2015-09-10 20:50:00 +00:00
|
|
|
}
|
2019-02-28 18:14:19 +00:00
|
|
|
RecordInHistogram(stats_, NUM_SUBCOMPACTIONS_SCHEDULED,
|
|
|
|
compact_->sub_compact_states.size());
|
2015-09-10 20:50:00 +00:00
|
|
|
} else {
|
2022-07-24 00:38:49 +00:00
|
|
|
compact_->sub_compact_states.emplace_back(c, std::nullopt, std::nullopt,
|
|
|
|
/*sub_job_id*/ 0);
|
2015-09-10 20:50:00 +00:00
|
|
|
}
|
2022-07-15 04:49:34 +00:00
|
|
|
|
2022-10-08 01:49:40 +00:00
|
|
|
// collect all seqno->time information from the input files which will be used
|
|
|
|
// to encode seqno->time to the output files.
|
|
|
|
uint64_t preserve_time_duration =
|
|
|
|
std::max(c->immutable_options()->preserve_internal_time_seconds,
|
|
|
|
c->immutable_options()->preclude_last_level_data_seconds);
|
|
|
|
|
|
|
|
if (preserve_time_duration > 0) {
|
2023-04-21 16:07:18 +00:00
|
|
|
const ReadOptions read_options(Env::IOActivity::kCompaction);
|
Fix/cleanup SeqnoToTimeMapping (#12253)
Summary:
The SeqnoToTimeMapping class (RocksDB internal) used by the preserve_internal_time_seconds / preclude_last_level_data_seconds options was essentially in a prototype state with some significant flaws that would risk biting us some day. This is a big, complicated change because both the implementation and the behavioral requirements of the class needed to be upgraded together. In short, this makes SeqnoToTimeMapping more internally responsible for maintaining good invariants, so that callers don't easily encounter dangerous scenarios.
* Some API functions were confusingly named and structured, so I fully refactored the APIs to use clear naming (e.g. `DecodeFrom` and `CopyFromSeqnoRange`), object states, function preconditions, etc.
* Previously the object could informally be sorted / compacted or not, and there was limited checking or enforcement on these states. Now there's a well-defined "enforced" state that is consistently checked in debug mode for applicable operations. (I attempted to create a separate "builder" class for unenforced states, but IIRC found that more cumbersome for existing uses than it was worth.)
* Previously operations would coalesce data in a way that was better for `GetProximalTimeBeforeSeqno` than for `GetProximalSeqnoBeforeTime` which is odd because the latter is the only one used by DB code currently (what is the seqno cut-off for data definitely older than this given time?). This is now reversed to consistently favor `GetProximalSeqnoBeforeTime`, with that logic concentrated in one place: `SeqnoToTimeMapping::SeqnoTimePair::Merge()`. Unfortunately, a lot of unit test logic was specifically testing the old, suboptimal behavior.
* Previously, the natural behavior of SeqnoToTimeMapping was to THROW AWAY data needed to get reasonable answers to the important `GetProximalSeqnoBeforeTime` queries. This is because SeqnoToTimeMapping only had a FIFO policy for staying within the entry capacity (except in aggregate+sort+serialize mode). If the DB wasn't extremely careful to avoid gathering too many time mappings, it could lose track of where the seqno cutoff was for cold data (`GetProximalSeqnoBeforeTime()` returning 0) and preventing all further data migration to the cold tier--until time passes etc. for mappings to catch up with FIFO purging of them. (The problem is not so acute because SST files contain relevant snapshots of the mappings, but the problem would apply to long-lived memtables.)
* Now the SeqnoToTimeMapping class has fully-integrated smarts for keeping a sufficiently complete history, within capacity limits, to give good answers to `GetProximalSeqnoBeforeTime` queries.
* Fixes old `// FIXME: be smarter about how we erase to avoid data falling off the front prematurely.`
* Fix an apparent bug in how entries are selected for storing into SST files. Previously, it only selected entries within the seqno range of the file, but that would easily leave a gap at the beginning of the timeline for data in the file for the purposes of answering GetProximalXXX queries with reasonable accuracy. This could probably lead to the same problem discussed above in naively throwing away entries in FIFO order in the old SeqnoToTimeMapping. The updated testing of GetProximalSeqnoBeforeTime in BasicSeqnoToTimeMapping relies on the fixed behavior.
* Fix a potential compaction CPU efficiency/scaling issue in which each compaction output file would iterate over and sort all seqno-to-time mappings from all compaction input files. Now we distill the input file entries to a constant size before processing each compaction output file.
Intended follow-up (me or others):
* Expand some direct testing of SeqnoToTimeMapping APIs. Here I've focused on updating existing tests to make sense.
* There are likely more gaps in availability of needed SeqnoToTimeMapping data when the DB shuts down and is restarted, at least with WAL.
* The data tracked in the DB could be kept more accurate and limited if it used the oldest seqno of unflushed data. This might require some more API refactoring.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12253
Test Plan: unit tests updated
Reviewed By: jowlyzhang
Differential Revision: D52913733
Pulled By: pdillinger
fbshipit-source-id: 020737fcbbe6212f6701191a6ab86565054c9593
2024-01-20 05:50:38 +00:00
|
|
|
// Setup seqno_to_time_mapping_ with relevant time range.
|
|
|
|
seqno_to_time_mapping_.SetMaxTimeSpan(preserve_time_duration);
|
2022-07-15 04:49:34 +00:00
|
|
|
for (const auto& each_level : *c->inputs()) {
|
|
|
|
for (const auto& fmd : each_level.files) {
|
|
|
|
std::shared_ptr<const TableProperties> tp;
|
2023-04-21 16:07:18 +00:00
|
|
|
Status s =
|
|
|
|
cfd->current()->GetTableProperties(read_options, &tp, fmd, nullptr);
|
2022-07-15 04:49:34 +00:00
|
|
|
if (s.ok()) {
|
Fix/cleanup SeqnoToTimeMapping (#12253)
Summary:
The SeqnoToTimeMapping class (RocksDB internal) used by the preserve_internal_time_seconds / preclude_last_level_data_seconds options was essentially in a prototype state with some significant flaws that would risk biting us some day. This is a big, complicated change because both the implementation and the behavioral requirements of the class needed to be upgraded together. In short, this makes SeqnoToTimeMapping more internally responsible for maintaining good invariants, so that callers don't easily encounter dangerous scenarios.
* Some API functions were confusingly named and structured, so I fully refactored the APIs to use clear naming (e.g. `DecodeFrom` and `CopyFromSeqnoRange`), object states, function preconditions, etc.
* Previously the object could informally be sorted / compacted or not, and there was limited checking or enforcement on these states. Now there's a well-defined "enforced" state that is consistently checked in debug mode for applicable operations. (I attempted to create a separate "builder" class for unenforced states, but IIRC found that more cumbersome for existing uses than it was worth.)
* Previously operations would coalesce data in a way that was better for `GetProximalTimeBeforeSeqno` than for `GetProximalSeqnoBeforeTime` which is odd because the latter is the only one used by DB code currently (what is the seqno cut-off for data definitely older than this given time?). This is now reversed to consistently favor `GetProximalSeqnoBeforeTime`, with that logic concentrated in one place: `SeqnoToTimeMapping::SeqnoTimePair::Merge()`. Unfortunately, a lot of unit test logic was specifically testing the old, suboptimal behavior.
* Previously, the natural behavior of SeqnoToTimeMapping was to THROW AWAY data needed to get reasonable answers to the important `GetProximalSeqnoBeforeTime` queries. This is because SeqnoToTimeMapping only had a FIFO policy for staying within the entry capacity (except in aggregate+sort+serialize mode). If the DB wasn't extremely careful to avoid gathering too many time mappings, it could lose track of where the seqno cutoff was for cold data (`GetProximalSeqnoBeforeTime()` returning 0) and preventing all further data migration to the cold tier--until time passes etc. for mappings to catch up with FIFO purging of them. (The problem is not so acute because SST files contain relevant snapshots of the mappings, but the problem would apply to long-lived memtables.)
* Now the SeqnoToTimeMapping class has fully-integrated smarts for keeping a sufficiently complete history, within capacity limits, to give good answers to `GetProximalSeqnoBeforeTime` queries.
* Fixes old `// FIXME: be smarter about how we erase to avoid data falling off the front prematurely.`
* Fix an apparent bug in how entries are selected for storing into SST files. Previously, it only selected entries within the seqno range of the file, but that would easily leave a gap at the beginning of the timeline for data in the file for the purposes of answering GetProximalXXX queries with reasonable accuracy. This could probably lead to the same problem discussed above in naively throwing away entries in FIFO order in the old SeqnoToTimeMapping. The updated testing of GetProximalSeqnoBeforeTime in BasicSeqnoToTimeMapping relies on the fixed behavior.
* Fix a potential compaction CPU efficiency/scaling issue in which each compaction output file would iterate over and sort all seqno-to-time mappings from all compaction input files. Now we distill the input file entries to a constant size before processing each compaction output file.
Intended follow-up (me or others):
* Expand some direct testing of SeqnoToTimeMapping APIs. Here I've focused on updating existing tests to make sense.
* There are likely more gaps in availability of needed SeqnoToTimeMapping data when the DB shuts down and is restarted, at least with WAL.
* The data tracked in the DB could be kept more accurate and limited if it used the oldest seqno of unflushed data. This might require some more API refactoring.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12253
Test Plan: unit tests updated
Reviewed By: jowlyzhang
Differential Revision: D52913733
Pulled By: pdillinger
fbshipit-source-id: 020737fcbbe6212f6701191a6ab86565054c9593
2024-01-20 05:50:38 +00:00
|
|
|
s = seqno_to_time_mapping_.DecodeFrom(tp->seqno_to_time_mapping);
|
|
|
|
}
|
|
|
|
if (!s.ok()) {
|
|
|
|
ROCKS_LOG_WARN(
|
|
|
|
db_options_.info_log,
|
|
|
|
"Problem reading or processing seqno-to-time mapping: %s",
|
|
|
|
s.ToString().c_str());
|
2022-07-15 04:49:34 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
int64_t _current_time = 0;
|
Fix/cleanup SeqnoToTimeMapping (#12253)
Summary:
The SeqnoToTimeMapping class (RocksDB internal) used by the preserve_internal_time_seconds / preclude_last_level_data_seconds options was essentially in a prototype state with some significant flaws that would risk biting us some day. This is a big, complicated change because both the implementation and the behavioral requirements of the class needed to be upgraded together. In short, this makes SeqnoToTimeMapping more internally responsible for maintaining good invariants, so that callers don't easily encounter dangerous scenarios.
* Some API functions were confusingly named and structured, so I fully refactored the APIs to use clear naming (e.g. `DecodeFrom` and `CopyFromSeqnoRange`), object states, function preconditions, etc.
* Previously the object could informally be sorted / compacted or not, and there was limited checking or enforcement on these states. Now there's a well-defined "enforced" state that is consistently checked in debug mode for applicable operations. (I attempted to create a separate "builder" class for unenforced states, but IIRC found that more cumbersome for existing uses than it was worth.)
* Previously operations would coalesce data in a way that was better for `GetProximalTimeBeforeSeqno` than for `GetProximalSeqnoBeforeTime` which is odd because the latter is the only one used by DB code currently (what is the seqno cut-off for data definitely older than this given time?). This is now reversed to consistently favor `GetProximalSeqnoBeforeTime`, with that logic concentrated in one place: `SeqnoToTimeMapping::SeqnoTimePair::Merge()`. Unfortunately, a lot of unit test logic was specifically testing the old, suboptimal behavior.
* Previously, the natural behavior of SeqnoToTimeMapping was to THROW AWAY data needed to get reasonable answers to the important `GetProximalSeqnoBeforeTime` queries. This is because SeqnoToTimeMapping only had a FIFO policy for staying within the entry capacity (except in aggregate+sort+serialize mode). If the DB wasn't extremely careful to avoid gathering too many time mappings, it could lose track of where the seqno cutoff was for cold data (`GetProximalSeqnoBeforeTime()` returning 0) and preventing all further data migration to the cold tier--until time passes etc. for mappings to catch up with FIFO purging of them. (The problem is not so acute because SST files contain relevant snapshots of the mappings, but the problem would apply to long-lived memtables.)
* Now the SeqnoToTimeMapping class has fully-integrated smarts for keeping a sufficiently complete history, within capacity limits, to give good answers to `GetProximalSeqnoBeforeTime` queries.
* Fixes old `// FIXME: be smarter about how we erase to avoid data falling off the front prematurely.`
* Fix an apparent bug in how entries are selected for storing into SST files. Previously, it only selected entries within the seqno range of the file, but that would easily leave a gap at the beginning of the timeline for data in the file for the purposes of answering GetProximalXXX queries with reasonable accuracy. This could probably lead to the same problem discussed above in naively throwing away entries in FIFO order in the old SeqnoToTimeMapping. The updated testing of GetProximalSeqnoBeforeTime in BasicSeqnoToTimeMapping relies on the fixed behavior.
* Fix a potential compaction CPU efficiency/scaling issue in which each compaction output file would iterate over and sort all seqno-to-time mappings from all compaction input files. Now we distill the input file entries to a constant size before processing each compaction output file.
Intended follow-up (me or others):
* Expand some direct testing of SeqnoToTimeMapping APIs. Here I've focused on updating existing tests to make sense.
* There are likely more gaps in availability of needed SeqnoToTimeMapping data when the DB shuts down and is restarted, at least with WAL.
* The data tracked in the DB could be kept more accurate and limited if it used the oldest seqno of unflushed data. This might require some more API refactoring.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12253
Test Plan: unit tests updated
Reviewed By: jowlyzhang
Differential Revision: D52913733
Pulled By: pdillinger
fbshipit-source-id: 020737fcbbe6212f6701191a6ab86565054c9593
2024-01-20 05:50:38 +00:00
|
|
|
Status s = db_options_.clock->GetCurrentTime(&_current_time);
|
|
|
|
if (!s.ok()) {
|
2022-07-15 04:49:34 +00:00
|
|
|
ROCKS_LOG_WARN(db_options_.info_log,
|
|
|
|
"Failed to get current time in compaction: Status: %s",
|
Fix/cleanup SeqnoToTimeMapping (#12253)
Summary:
The SeqnoToTimeMapping class (RocksDB internal) used by the preserve_internal_time_seconds / preclude_last_level_data_seconds options was essentially in a prototype state with some significant flaws that would risk biting us some day. This is a big, complicated change because both the implementation and the behavioral requirements of the class needed to be upgraded together. In short, this makes SeqnoToTimeMapping more internally responsible for maintaining good invariants, so that callers don't easily encounter dangerous scenarios.
* Some API functions were confusingly named and structured, so I fully refactored the APIs to use clear naming (e.g. `DecodeFrom` and `CopyFromSeqnoRange`), object states, function preconditions, etc.
* Previously the object could informally be sorted / compacted or not, and there was limited checking or enforcement on these states. Now there's a well-defined "enforced" state that is consistently checked in debug mode for applicable operations. (I attempted to create a separate "builder" class for unenforced states, but IIRC found that more cumbersome for existing uses than it was worth.)
* Previously operations would coalesce data in a way that was better for `GetProximalTimeBeforeSeqno` than for `GetProximalSeqnoBeforeTime` which is odd because the latter is the only one used by DB code currently (what is the seqno cut-off for data definitely older than this given time?). This is now reversed to consistently favor `GetProximalSeqnoBeforeTime`, with that logic concentrated in one place: `SeqnoToTimeMapping::SeqnoTimePair::Merge()`. Unfortunately, a lot of unit test logic was specifically testing the old, suboptimal behavior.
* Previously, the natural behavior of SeqnoToTimeMapping was to THROW AWAY data needed to get reasonable answers to the important `GetProximalSeqnoBeforeTime` queries. This is because SeqnoToTimeMapping only had a FIFO policy for staying within the entry capacity (except in aggregate+sort+serialize mode). If the DB wasn't extremely careful to avoid gathering too many time mappings, it could lose track of where the seqno cutoff was for cold data (`GetProximalSeqnoBeforeTime()` returning 0) and preventing all further data migration to the cold tier--until time passes etc. for mappings to catch up with FIFO purging of them. (The problem is not so acute because SST files contain relevant snapshots of the mappings, but the problem would apply to long-lived memtables.)
* Now the SeqnoToTimeMapping class has fully-integrated smarts for keeping a sufficiently complete history, within capacity limits, to give good answers to `GetProximalSeqnoBeforeTime` queries.
* Fixes old `// FIXME: be smarter about how we erase to avoid data falling off the front prematurely.`
* Fix an apparent bug in how entries are selected for storing into SST files. Previously, it only selected entries within the seqno range of the file, but that would easily leave a gap at the beginning of the timeline for data in the file for the purposes of answering GetProximalXXX queries with reasonable accuracy. This could probably lead to the same problem discussed above in naively throwing away entries in FIFO order in the old SeqnoToTimeMapping. The updated testing of GetProximalSeqnoBeforeTime in BasicSeqnoToTimeMapping relies on the fixed behavior.
* Fix a potential compaction CPU efficiency/scaling issue in which each compaction output file would iterate over and sort all seqno-to-time mappings from all compaction input files. Now we distill the input file entries to a constant size before processing each compaction output file.
Intended follow-up (me or others):
* Expand some direct testing of SeqnoToTimeMapping APIs. Here I've focused on updating existing tests to make sense.
* There are likely more gaps in availability of needed SeqnoToTimeMapping data when the DB shuts down and is restarted, at least with WAL.
* The data tracked in the DB could be kept more accurate and limited if it used the oldest seqno of unflushed data. This might require some more API refactoring.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12253
Test Plan: unit tests updated
Reviewed By: jowlyzhang
Differential Revision: D52913733
Pulled By: pdillinger
fbshipit-source-id: 020737fcbbe6212f6701191a6ab86565054c9593
2024-01-20 05:50:38 +00:00
|
|
|
s.ToString().c_str());
|
2022-10-08 01:49:40 +00:00
|
|
|
// preserve all time information
|
|
|
|
preserve_time_min_seqno_ = 0;
|
|
|
|
preclude_last_level_min_seqno_ = 0;
|
Fix/cleanup SeqnoToTimeMapping (#12253)
Summary:
The SeqnoToTimeMapping class (RocksDB internal) used by the preserve_internal_time_seconds / preclude_last_level_data_seconds options was essentially in a prototype state with some significant flaws that would risk biting us some day. This is a big, complicated change because both the implementation and the behavioral requirements of the class needed to be upgraded together. In short, this makes SeqnoToTimeMapping more internally responsible for maintaining good invariants, so that callers don't easily encounter dangerous scenarios.
* Some API functions were confusingly named and structured, so I fully refactored the APIs to use clear naming (e.g. `DecodeFrom` and `CopyFromSeqnoRange`), object states, function preconditions, etc.
* Previously the object could informally be sorted / compacted or not, and there was limited checking or enforcement on these states. Now there's a well-defined "enforced" state that is consistently checked in debug mode for applicable operations. (I attempted to create a separate "builder" class for unenforced states, but IIRC found that more cumbersome for existing uses than it was worth.)
* Previously operations would coalesce data in a way that was better for `GetProximalTimeBeforeSeqno` than for `GetProximalSeqnoBeforeTime` which is odd because the latter is the only one used by DB code currently (what is the seqno cut-off for data definitely older than this given time?). This is now reversed to consistently favor `GetProximalSeqnoBeforeTime`, with that logic concentrated in one place: `SeqnoToTimeMapping::SeqnoTimePair::Merge()`. Unfortunately, a lot of unit test logic was specifically testing the old, suboptimal behavior.
* Previously, the natural behavior of SeqnoToTimeMapping was to THROW AWAY data needed to get reasonable answers to the important `GetProximalSeqnoBeforeTime` queries. This is because SeqnoToTimeMapping only had a FIFO policy for staying within the entry capacity (except in aggregate+sort+serialize mode). If the DB wasn't extremely careful to avoid gathering too many time mappings, it could lose track of where the seqno cutoff was for cold data (`GetProximalSeqnoBeforeTime()` returning 0) and preventing all further data migration to the cold tier--until time passes etc. for mappings to catch up with FIFO purging of them. (The problem is not so acute because SST files contain relevant snapshots of the mappings, but the problem would apply to long-lived memtables.)
* Now the SeqnoToTimeMapping class has fully-integrated smarts for keeping a sufficiently complete history, within capacity limits, to give good answers to `GetProximalSeqnoBeforeTime` queries.
* Fixes old `// FIXME: be smarter about how we erase to avoid data falling off the front prematurely.`
* Fix an apparent bug in how entries are selected for storing into SST files. Previously, it only selected entries within the seqno range of the file, but that would easily leave a gap at the beginning of the timeline for data in the file for the purposes of answering GetProximalXXX queries with reasonable accuracy. This could probably lead to the same problem discussed above in naively throwing away entries in FIFO order in the old SeqnoToTimeMapping. The updated testing of GetProximalSeqnoBeforeTime in BasicSeqnoToTimeMapping relies on the fixed behavior.
* Fix a potential compaction CPU efficiency/scaling issue in which each compaction output file would iterate over and sort all seqno-to-time mappings from all compaction input files. Now we distill the input file entries to a constant size before processing each compaction output file.
Intended follow-up (me or others):
* Expand some direct testing of SeqnoToTimeMapping APIs. Here I've focused on updating existing tests to make sense.
* There are likely more gaps in availability of needed SeqnoToTimeMapping data when the DB shuts down and is restarted, at least with WAL.
* The data tracked in the DB could be kept more accurate and limited if it used the oldest seqno of unflushed data. This might require some more API refactoring.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12253
Test Plan: unit tests updated
Reviewed By: jowlyzhang
Differential Revision: D52913733
Pulled By: pdillinger
fbshipit-source-id: 020737fcbbe6212f6701191a6ab86565054c9593
2024-01-20 05:50:38 +00:00
|
|
|
seqno_to_time_mapping_.Enforce();
|
2022-07-15 04:49:34 +00:00
|
|
|
} else {
|
Fix/cleanup SeqnoToTimeMapping (#12253)
Summary:
The SeqnoToTimeMapping class (RocksDB internal) used by the preserve_internal_time_seconds / preclude_last_level_data_seconds options was essentially in a prototype state with some significant flaws that would risk biting us some day. This is a big, complicated change because both the implementation and the behavioral requirements of the class needed to be upgraded together. In short, this makes SeqnoToTimeMapping more internally responsible for maintaining good invariants, so that callers don't easily encounter dangerous scenarios.
* Some API functions were confusingly named and structured, so I fully refactored the APIs to use clear naming (e.g. `DecodeFrom` and `CopyFromSeqnoRange`), object states, function preconditions, etc.
* Previously the object could informally be sorted / compacted or not, and there was limited checking or enforcement on these states. Now there's a well-defined "enforced" state that is consistently checked in debug mode for applicable operations. (I attempted to create a separate "builder" class for unenforced states, but IIRC found that more cumbersome for existing uses than it was worth.)
* Previously operations would coalesce data in a way that was better for `GetProximalTimeBeforeSeqno` than for `GetProximalSeqnoBeforeTime` which is odd because the latter is the only one used by DB code currently (what is the seqno cut-off for data definitely older than this given time?). This is now reversed to consistently favor `GetProximalSeqnoBeforeTime`, with that logic concentrated in one place: `SeqnoToTimeMapping::SeqnoTimePair::Merge()`. Unfortunately, a lot of unit test logic was specifically testing the old, suboptimal behavior.
* Previously, the natural behavior of SeqnoToTimeMapping was to THROW AWAY data needed to get reasonable answers to the important `GetProximalSeqnoBeforeTime` queries. This is because SeqnoToTimeMapping only had a FIFO policy for staying within the entry capacity (except in aggregate+sort+serialize mode). If the DB wasn't extremely careful to avoid gathering too many time mappings, it could lose track of where the seqno cutoff was for cold data (`GetProximalSeqnoBeforeTime()` returning 0) and preventing all further data migration to the cold tier--until time passes etc. for mappings to catch up with FIFO purging of them. (The problem is not so acute because SST files contain relevant snapshots of the mappings, but the problem would apply to long-lived memtables.)
* Now the SeqnoToTimeMapping class has fully-integrated smarts for keeping a sufficiently complete history, within capacity limits, to give good answers to `GetProximalSeqnoBeforeTime` queries.
* Fixes old `// FIXME: be smarter about how we erase to avoid data falling off the front prematurely.`
* Fix an apparent bug in how entries are selected for storing into SST files. Previously, it only selected entries within the seqno range of the file, but that would easily leave a gap at the beginning of the timeline for data in the file for the purposes of answering GetProximalXXX queries with reasonable accuracy. This could probably lead to the same problem discussed above in naively throwing away entries in FIFO order in the old SeqnoToTimeMapping. The updated testing of GetProximalSeqnoBeforeTime in BasicSeqnoToTimeMapping relies on the fixed behavior.
* Fix a potential compaction CPU efficiency/scaling issue in which each compaction output file would iterate over and sort all seqno-to-time mappings from all compaction input files. Now we distill the input file entries to a constant size before processing each compaction output file.
Intended follow-up (me or others):
* Expand some direct testing of SeqnoToTimeMapping APIs. Here I've focused on updating existing tests to make sense.
* There are likely more gaps in availability of needed SeqnoToTimeMapping data when the DB shuts down and is restarted, at least with WAL.
* The data tracked in the DB could be kept more accurate and limited if it used the oldest seqno of unflushed data. This might require some more API refactoring.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12253
Test Plan: unit tests updated
Reviewed By: jowlyzhang
Differential Revision: D52913733
Pulled By: pdillinger
fbshipit-source-id: 020737fcbbe6212f6701191a6ab86565054c9593
2024-01-20 05:50:38 +00:00
|
|
|
seqno_to_time_mapping_.Enforce(_current_time);
|
2022-10-08 01:49:40 +00:00
|
|
|
uint64_t preserve_time =
|
|
|
|
static_cast<uint64_t>(_current_time) > preserve_time_duration
|
|
|
|
? _current_time - preserve_time_duration
|
|
|
|
: 0;
|
Refactor, clean up, fixes, and more testing for SeqnoToTimeMapping (#11905)
Summary:
This change is before a planned DBImpl change to ensure all sufficiently recent sequence numbers since Open are covered by SeqnoToTimeMapping (bug fix with existing test work-arounds). **Intended follow-up**
However, I found enough issues with SeqnoToTimeMapping to warrant this PR first, including very small fixes in DB implementation related to API contract of SeqnoToTimeMapping.
Functional fixes / changes:
* This fixes some mishandling of boundary cases. For example, if the user decides to stop writing to DB, the last written sequence number would perpetually have its write time updated to "now" and would always be ineligible for migration to cold tier. Part of the problem is that the SeqnoToTimeMapping would return a seqno known to have been written before (immediately or otherwise) the requested time, but compaction_job.cc would include that seqno in the preserve/exclude set. That is fixed (in part) by adding one in compaction_job.cc
* That problem was worse because a whole range of seqnos could be updated perpetually with new times in SeqnoToTimeMapping::Append (if no writes to DB). That logic was apparently optimized for GetOldestApproximateTime (now GetProximalTimeBeforeSeqno), which is not used in production, to the detriment of GetOldestSequenceNum (now GetProximalSeqnoBeforeTime), which is used in production. (Perhaps plans changed during development?) This is fixed in Append to optimize for accuracy of GetProximalSeqnoBeforeTime. (Unit tests added and updated.)
* Related: SeqnoToTimeMapping did not have a clear contract about the relationships between seqnos and times, just the idea of a rough correspondence. Now the class description makes it clear that the write time of each recorded seqno comes before or at the associated time, to support getting best results for GetProximalSeqnoBeforeTime. And this makes it easier to make clear the contract of each API function.
* Update `DBImpl::RecordSeqnoToTimeMapping()` to follow this ordering in gathering samples.
Some part of these changes has required an expanded test work-around for the problem (see intended follow-up above) that the DB does not immediately ensure recent seqnos are covered by its mapping. These work-arounds will be removed with that planned work.
An apparent compaction bug is revealed in
PrecludeLastLevelTest::RangeDelsCauseFileEndpointsToOverlap, so that test is disabled. Filed GitHub issue #11909
Cosmetic / code safety things (not exhaustive):
* Fix some confusing names.
* `seqno_time_mapping` was used inconsistently in places. Now just `seqno_to_time_mapping` to correspond to class name.
* Rename confusing `GetOldestSequenceNum` -> `GetProximalSeqnoBeforeTime` and `GetOldestApproximateTime` -> `GetProximalTimeBeforeSeqno`. Part of the motivation is that our times and seqnos here have the same underlying type, so we want to be clear about which is expected where to avoid mixing.
* Rename `kUnknownSeqnoTime` to `kUnknownTimeBeforeAll` because the value is a bad choice for unknown if we ever add ProximalAfterBlah functions.
* Arithmetic on SeqnoTimePair doesn't make sense except for delta encoding, so use better names / APIs with that in mind.
* (OMG) Don't allow direct comparison between SeqnoTimePair and SequenceNumber. (There is no checking that it isn't compared against time by accident.)
* A field name essentially matching the containing class name is a confusing pattern (`seqno_time_mapping_`).
* Wrap calls to confusing (but useful) upper_bound and lower_bound functions to have clearer names and more code reuse.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11905
Test Plan: GetOldestSequenceNum (now GetProximalSeqnoBeforeTime) and TruncateOldEntries were lacking unit tests, despite both being used in production (experimental feature). Added those and expanded others.
Reviewed By: jowlyzhang
Differential Revision: D49755592
Pulled By: pdillinger
fbshipit-source-id: f72a3baac74d24b963c77e538bba89a7fc8dce51
2023-09-29 18:21:59 +00:00
|
|
|
// GetProximalSeqnoBeforeTime tells us the last seqno known to have been
|
|
|
|
// written at or before the given time. + 1 to get the minimum we should
|
|
|
|
// preserve without excluding anything that might have been written on or
|
|
|
|
// after the given time.
|
2022-10-08 01:49:40 +00:00
|
|
|
preserve_time_min_seqno_ =
|
Refactor, clean up, fixes, and more testing for SeqnoToTimeMapping (#11905)
Summary:
This change is before a planned DBImpl change to ensure all sufficiently recent sequence numbers since Open are covered by SeqnoToTimeMapping (bug fix with existing test work-arounds). **Intended follow-up**
However, I found enough issues with SeqnoToTimeMapping to warrant this PR first, including very small fixes in DB implementation related to API contract of SeqnoToTimeMapping.
Functional fixes / changes:
* This fixes some mishandling of boundary cases. For example, if the user decides to stop writing to DB, the last written sequence number would perpetually have its write time updated to "now" and would always be ineligible for migration to cold tier. Part of the problem is that the SeqnoToTimeMapping would return a seqno known to have been written before (immediately or otherwise) the requested time, but compaction_job.cc would include that seqno in the preserve/exclude set. That is fixed (in part) by adding one in compaction_job.cc
* That problem was worse because a whole range of seqnos could be updated perpetually with new times in SeqnoToTimeMapping::Append (if no writes to DB). That logic was apparently optimized for GetOldestApproximateTime (now GetProximalTimeBeforeSeqno), which is not used in production, to the detriment of GetOldestSequenceNum (now GetProximalSeqnoBeforeTime), which is used in production. (Perhaps plans changed during development?) This is fixed in Append to optimize for accuracy of GetProximalSeqnoBeforeTime. (Unit tests added and updated.)
* Related: SeqnoToTimeMapping did not have a clear contract about the relationships between seqnos and times, just the idea of a rough correspondence. Now the class description makes it clear that the write time of each recorded seqno comes before or at the associated time, to support getting best results for GetProximalSeqnoBeforeTime. And this makes it easier to make clear the contract of each API function.
* Update `DBImpl::RecordSeqnoToTimeMapping()` to follow this ordering in gathering samples.
Some part of these changes has required an expanded test work-around for the problem (see intended follow-up above) that the DB does not immediately ensure recent seqnos are covered by its mapping. These work-arounds will be removed with that planned work.
An apparent compaction bug is revealed in
PrecludeLastLevelTest::RangeDelsCauseFileEndpointsToOverlap, so that test is disabled. Filed GitHub issue #11909
Cosmetic / code safety things (not exhaustive):
* Fix some confusing names.
* `seqno_time_mapping` was used inconsistently in places. Now just `seqno_to_time_mapping` to correspond to class name.
* Rename confusing `GetOldestSequenceNum` -> `GetProximalSeqnoBeforeTime` and `GetOldestApproximateTime` -> `GetProximalTimeBeforeSeqno`. Part of the motivation is that our times and seqnos here have the same underlying type, so we want to be clear about which is expected where to avoid mixing.
* Rename `kUnknownSeqnoTime` to `kUnknownTimeBeforeAll` because the value is a bad choice for unknown if we ever add ProximalAfterBlah functions.
* Arithmetic on SeqnoTimePair doesn't make sense except for delta encoding, so use better names / APIs with that in mind.
* (OMG) Don't allow direct comparison between SeqnoTimePair and SequenceNumber. (There is no checking that it isn't compared against time by accident.)
* A field name essentially matching the containing class name is a confusing pattern (`seqno_time_mapping_`).
* Wrap calls to confusing (but useful) upper_bound and lower_bound functions to have clearer names and more code reuse.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11905
Test Plan: GetOldestSequenceNum (now GetProximalSeqnoBeforeTime) and TruncateOldEntries were lacking unit tests, despite both being used in production (experimental feature). Added those and expanded others.
Reviewed By: jowlyzhang
Differential Revision: D49755592
Pulled By: pdillinger
fbshipit-source-id: f72a3baac74d24b963c77e538bba89a7fc8dce51
2023-09-29 18:21:59 +00:00
|
|
|
seqno_to_time_mapping_.GetProximalSeqnoBeforeTime(preserve_time) + 1;
|
2022-10-08 01:49:40 +00:00
|
|
|
if (c->immutable_options()->preclude_last_level_data_seconds > 0) {
|
|
|
|
uint64_t preclude_last_level_time =
|
|
|
|
static_cast<uint64_t>(_current_time) >
|
|
|
|
c->immutable_options()->preclude_last_level_data_seconds
|
|
|
|
? _current_time -
|
|
|
|
c->immutable_options()->preclude_last_level_data_seconds
|
|
|
|
: 0;
|
|
|
|
preclude_last_level_min_seqno_ =
|
Refactor, clean up, fixes, and more testing for SeqnoToTimeMapping (#11905)
Summary:
This change is before a planned DBImpl change to ensure all sufficiently recent sequence numbers since Open are covered by SeqnoToTimeMapping (bug fix with existing test work-arounds). **Intended follow-up**
However, I found enough issues with SeqnoToTimeMapping to warrant this PR first, including very small fixes in DB implementation related to API contract of SeqnoToTimeMapping.
Functional fixes / changes:
* This fixes some mishandling of boundary cases. For example, if the user decides to stop writing to DB, the last written sequence number would perpetually have its write time updated to "now" and would always be ineligible for migration to cold tier. Part of the problem is that the SeqnoToTimeMapping would return a seqno known to have been written before (immediately or otherwise) the requested time, but compaction_job.cc would include that seqno in the preserve/exclude set. That is fixed (in part) by adding one in compaction_job.cc
* That problem was worse because a whole range of seqnos could be updated perpetually with new times in SeqnoToTimeMapping::Append (if no writes to DB). That logic was apparently optimized for GetOldestApproximateTime (now GetProximalTimeBeforeSeqno), which is not used in production, to the detriment of GetOldestSequenceNum (now GetProximalSeqnoBeforeTime), which is used in production. (Perhaps plans changed during development?) This is fixed in Append to optimize for accuracy of GetProximalSeqnoBeforeTime. (Unit tests added and updated.)
* Related: SeqnoToTimeMapping did not have a clear contract about the relationships between seqnos and times, just the idea of a rough correspondence. Now the class description makes it clear that the write time of each recorded seqno comes before or at the associated time, to support getting best results for GetProximalSeqnoBeforeTime. And this makes it easier to make clear the contract of each API function.
* Update `DBImpl::RecordSeqnoToTimeMapping()` to follow this ordering in gathering samples.
Some part of these changes has required an expanded test work-around for the problem (see intended follow-up above) that the DB does not immediately ensure recent seqnos are covered by its mapping. These work-arounds will be removed with that planned work.
An apparent compaction bug is revealed in
PrecludeLastLevelTest::RangeDelsCauseFileEndpointsToOverlap, so that test is disabled. Filed GitHub issue #11909
Cosmetic / code safety things (not exhaustive):
* Fix some confusing names.
* `seqno_time_mapping` was used inconsistently in places. Now just `seqno_to_time_mapping` to correspond to class name.
* Rename confusing `GetOldestSequenceNum` -> `GetProximalSeqnoBeforeTime` and `GetOldestApproximateTime` -> `GetProximalTimeBeforeSeqno`. Part of the motivation is that our times and seqnos here have the same underlying type, so we want to be clear about which is expected where to avoid mixing.
* Rename `kUnknownSeqnoTime` to `kUnknownTimeBeforeAll` because the value is a bad choice for unknown if we ever add ProximalAfterBlah functions.
* Arithmetic on SeqnoTimePair doesn't make sense except for delta encoding, so use better names / APIs with that in mind.
* (OMG) Don't allow direct comparison between SeqnoTimePair and SequenceNumber. (There is no checking that it isn't compared against time by accident.)
* A field name essentially matching the containing class name is a confusing pattern (`seqno_time_mapping_`).
* Wrap calls to confusing (but useful) upper_bound and lower_bound functions to have clearer names and more code reuse.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11905
Test Plan: GetOldestSequenceNum (now GetProximalSeqnoBeforeTime) and TruncateOldEntries were lacking unit tests, despite both being used in production (experimental feature). Added those and expanded others.
Reviewed By: jowlyzhang
Differential Revision: D49755592
Pulled By: pdillinger
fbshipit-source-id: f72a3baac74d24b963c77e538bba89a7fc8dce51
2023-09-29 18:21:59 +00:00
|
|
|
seqno_to_time_mapping_.GetProximalSeqnoBeforeTime(
|
|
|
|
preclude_last_level_time) +
|
|
|
|
1;
|
2022-10-08 01:49:40 +00:00
|
|
|
}
|
2022-07-15 04:49:34 +00:00
|
|
|
}
|
Fix/cleanup SeqnoToTimeMapping (#12253)
Summary:
The SeqnoToTimeMapping class (RocksDB internal) used by the preserve_internal_time_seconds / preclude_last_level_data_seconds options was essentially in a prototype state with some significant flaws that would risk biting us some day. This is a big, complicated change because both the implementation and the behavioral requirements of the class needed to be upgraded together. In short, this makes SeqnoToTimeMapping more internally responsible for maintaining good invariants, so that callers don't easily encounter dangerous scenarios.
* Some API functions were confusingly named and structured, so I fully refactored the APIs to use clear naming (e.g. `DecodeFrom` and `CopyFromSeqnoRange`), object states, function preconditions, etc.
* Previously the object could informally be sorted / compacted or not, and there was limited checking or enforcement on these states. Now there's a well-defined "enforced" state that is consistently checked in debug mode for applicable operations. (I attempted to create a separate "builder" class for unenforced states, but IIRC found that more cumbersome for existing uses than it was worth.)
* Previously operations would coalesce data in a way that was better for `GetProximalTimeBeforeSeqno` than for `GetProximalSeqnoBeforeTime` which is odd because the latter is the only one used by DB code currently (what is the seqno cut-off for data definitely older than this given time?). This is now reversed to consistently favor `GetProximalSeqnoBeforeTime`, with that logic concentrated in one place: `SeqnoToTimeMapping::SeqnoTimePair::Merge()`. Unfortunately, a lot of unit test logic was specifically testing the old, suboptimal behavior.
* Previously, the natural behavior of SeqnoToTimeMapping was to THROW AWAY data needed to get reasonable answers to the important `GetProximalSeqnoBeforeTime` queries. This is because SeqnoToTimeMapping only had a FIFO policy for staying within the entry capacity (except in aggregate+sort+serialize mode). If the DB wasn't extremely careful to avoid gathering too many time mappings, it could lose track of where the seqno cutoff was for cold data (`GetProximalSeqnoBeforeTime()` returning 0) and preventing all further data migration to the cold tier--until time passes etc. for mappings to catch up with FIFO purging of them. (The problem is not so acute because SST files contain relevant snapshots of the mappings, but the problem would apply to long-lived memtables.)
* Now the SeqnoToTimeMapping class has fully-integrated smarts for keeping a sufficiently complete history, within capacity limits, to give good answers to `GetProximalSeqnoBeforeTime` queries.
* Fixes old `// FIXME: be smarter about how we erase to avoid data falling off the front prematurely.`
* Fix an apparent bug in how entries are selected for storing into SST files. Previously, it only selected entries within the seqno range of the file, but that would easily leave a gap at the beginning of the timeline for data in the file for the purposes of answering GetProximalXXX queries with reasonable accuracy. This could probably lead to the same problem discussed above in naively throwing away entries in FIFO order in the old SeqnoToTimeMapping. The updated testing of GetProximalSeqnoBeforeTime in BasicSeqnoToTimeMapping relies on the fixed behavior.
* Fix a potential compaction CPU efficiency/scaling issue in which each compaction output file would iterate over and sort all seqno-to-time mappings from all compaction input files. Now we distill the input file entries to a constant size before processing each compaction output file.
Intended follow-up (me or others):
* Expand some direct testing of SeqnoToTimeMapping APIs. Here I've focused on updating existing tests to make sense.
* There are likely more gaps in availability of needed SeqnoToTimeMapping data when the DB shuts down and is restarted, at least with WAL.
* The data tracked in the DB could be kept more accurate and limited if it used the oldest seqno of unflushed data. This might require some more API refactoring.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12253
Test Plan: unit tests updated
Reviewed By: jowlyzhang
Differential Revision: D52913733
Pulled By: pdillinger
fbshipit-source-id: 020737fcbbe6212f6701191a6ab86565054c9593
2024-01-20 05:50:38 +00:00
|
|
|
// For accuracy of the GetProximalSeqnoBeforeTime queries above, we only
|
|
|
|
// limit the capacity after them.
|
|
|
|
// Here If we set capacity to the per-SST limit, we could be throwing away
|
|
|
|
// fidelity when a compaction output file has a narrower seqno range than
|
|
|
|
// all the inputs. If we only limit capacity for each compaction output, we
|
|
|
|
// could be doing a lot of unnecessary recomputation in a large compaction
|
|
|
|
// (up to quadratic in number of files). Thus, we do soemthing in the
|
|
|
|
// middle: enforce a resonably large constant size limit substantially
|
|
|
|
// larger than kMaxSeqnoTimePairsPerSST.
|
|
|
|
seqno_to_time_mapping_.SetCapacity(kMaxSeqnoToTimeEntries);
|
2022-07-15 04:49:34 +00:00
|
|
|
}
|
Parallelize L0-L1 Compaction: Restructure Compaction Job
Summary:
As of now compactions involving files from Level 0 and Level 1 are single
threaded because the files in L0, although sorted, are not range partitioned like
the other levels. This means that during L0-L1 compaction each file from L1
needs to be merged with potentially all the files from L0.
This attempt to parallelize the L0-L1 compaction assigns a thread and a
corresponding iterator to each L1 file that then considers only the key range
found in that L1 file and only the L0 files that have those keys (and only the
specific portion of those L0 files in which those keys are found). In this way
the overlap is minimized and potentially eliminated between different iterators
focusing on the same files.
The first step is to restructure the compaction logic to break L0-L1 compactions
into multiple, smaller, sequential compactions. Eventually each of these smaller
jobs will be run simultaneously. Areas to pay extra attention to are
# Correct aggregation of compaction job statistics across multiple threads
# Proper opening/closing of output files (make sure each thread's is unique)
# Keys that span multiple L1 files
# Skewed distributions of keys within L0 files
Test Plan: Make and run db_test (newer version has separate compaction tests) and compaction_job_stats_test
Reviewers: igor, noetzli, anthony, sdong, yhchiang
Reviewed By: yhchiang
Subscribers: MarkCallaghan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D42699
2015-08-03 18:32:14 +00:00
|
|
|
}
|
|
|
|
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
uint64_t CompactionJob::GetSubcompactionsLimit() {
|
|
|
|
return extra_num_subcompaction_threads_reserved_ +
|
|
|
|
std::max(
|
|
|
|
std::uint64_t(1),
|
|
|
|
static_cast<uint64_t>(compact_->compaction->max_subcompactions()));
|
|
|
|
}
|
|
|
|
|
|
|
|
void CompactionJob::AcquireSubcompactionResources(
|
|
|
|
int num_extra_required_subcompactions) {
|
|
|
|
TEST_SYNC_POINT("CompactionJob::AcquireSubcompactionResources:0");
|
|
|
|
TEST_SYNC_POINT("CompactionJob::AcquireSubcompactionResources:1");
|
|
|
|
int max_db_compactions =
|
|
|
|
DBImpl::GetBGJobLimits(
|
|
|
|
mutable_db_options_copy_.max_background_flushes,
|
|
|
|
mutable_db_options_copy_.max_background_compactions,
|
|
|
|
mutable_db_options_copy_.max_background_jobs,
|
|
|
|
versions_->GetColumnFamilySet()
|
|
|
|
->write_controller()
|
|
|
|
->NeedSpeedupCompaction())
|
|
|
|
.max_compactions;
|
Add missing mutex when reading from shared variable bg_bottom_compaction_scheduled_, bg_compaction_scheduled_ (#10610)
Summary:
**Context/Summary:**
According to https://github.com/facebook/rocksdb/blob/7.6.fb/db/compaction/compaction_job.h#L328-L332, any reading in the form of `*bg_compaction_scheduled_` , `*bg_bottom_compaction_scheduled_` should be protected by mutex, which isn't the case for some assert statement. This leads to a data race that can be repro-ed by the following command (command coming soon)
```
db=/dev/shm/rocksdb_crashtest_blackbox
exp=/dev/shm/rocksdb_crashtest_expected
rm -rf $db $exp
mkdir -p $exp
./db_stress --clear_column_family_one_in=0 --column_families=1 --db=$db --delpercent=10 --delrangepercent=0 --destroy_db_initially=1 --expected_values_dir=$exp --iterpercent=0 --key_len_percent_dist=1,30,69 --max_key=1000000 --max_key_len=3 --prefixpercent=0 --readpercent=0 --reopen=0 --ops_per_thread=100000000 --value_size_mult=32 --writepercent=90 --compaction_pri=4 --use_txn=1 --level_compaction_dynamic_level_bytes=True --compaction_ttl=0 --compact_files_one_in=1000000 --compact_range_one_in=1000000 --value_size_mult=32 --verify_db_one_in=1000 --write_buffer_size=65536 --mark_for_compaction_one_file_in=10 --max_background_compactions=20 --max_key=25000000 --max_key_len=3 --max_write_buffer_number=3 --max_write_buffer_size_to_maintain=2097152 --target_file_size_base=2097152 --target_file_size_multiplier=2
```
```
WARNING: ThreadSanitizer: data race (pid=73424)
Read of size 4 at 0x7b8c0000151c by thread T13:
#0 ReleaseSubcompactionResources internal_repo_rocksdb/repo/db/compaction/compaction_job.cc:390 (db_stress+0x630aa3)
https://github.com/facebook/rocksdb/issues/1 rocksdb::CompactionJob::Run() internal_repo_rocksdb/repo/db/compaction/compaction_job.cc:741 (db_stress+0x630aa3)
https://github.com/facebook/rocksdb/issues/2 rocksdb::DBImpl::BackgroundCompaction(bool*, rocksdb::JobContext*, rocksdb::LogBuffer*, rocksdb::DBImpl::PrepickedCompaction*, rocksdb::Env::Priority) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:3436 (db_stress+0x60b2cc)
https://github.com/facebook/rocksdb/issues/3 rocksdb::DBImpl::BackgroundCallCompaction(rocksdb::DBImpl::PrepickedCompaction*, rocksdb::Env::Priority) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:2950 (db_stress+0x606d79)
https://github.com/facebook/rocksdb/issues/4 rocksdb::DBImpl::BGWorkCompaction(void*) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:2693 (db_stress+0x60356a)
Previous write of size 4 at 0x7b8c0000151c by thread T12 (mutexes: write M438955329917552448):
#0 rocksdb::DBImpl::BackgroundCallCompaction(rocksdb::DBImpl::PrepickedCompaction*, rocksdb::Env::Priority) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:3018 (db_stress+0x6072a1)
https://github.com/facebook/rocksdb/issues/1 rocksdb::DBImpl::BGWorkCompaction(void*) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:2693 (db_stress+0x60356a)
Location is heap block of size 6720 at 0x7b8c00000000 allocated by main thread:
#0 operator new(unsigned long, std::align_val_t) <null> (db_stress+0xbab5bb)
https://github.com/facebook/rocksdb/issues/1 rocksdb::DBImpl::Open(rocksdb::DBOptions const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<rocksdb::ColumnFamilyDescriptor, std::allocator<rocksdb::ColumnFamilyDescriptor> > const&, std::vector<rocksdb::ColumnFamilyHandle*, std::allocator<rocksdb::ColumnFamilyHandle*> >*, rocksdb::DB**, bool, bool) internal_repo_rocksdb/repo/db/db_impl/db_impl_open.cc:1811 (db_stress+0x69769a)
https://github.com/facebook/rocksdb/issues/2 rocksdb::TransactionDB::Open(rocksdb::DBOptions const&, rocksdb::TransactionDBOptions const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<rocksdb::ColumnFamilyDescriptor, std::allocator<rocksdb::ColumnFamilyDescriptor> > const&, std::vector<rocksdb::ColumnFamilyHandle*, std::allocator<rocksdb::ColumnFamilyHandle*> >*, rocksdb::TransactionDB**) internal_repo_rocksdb/repo/utilities/transactions/pessimistic_transaction_db.cc:258 (db_stress+0x8ae1f4)
https://github.com/facebook/rocksdb/issues/3 rocksdb::StressTest::Open(rocksdb::SharedState*) internal_repo_rocksdb/repo/db_stress_tool/db_stress_test_base.cc:2611 (db_stress+0x32b927)
https://github.com/facebook/rocksdb/issues/4 rocksdb::StressTest::InitDb(rocksdb::SharedState*) internal_repo_rocksdb/repo/db_stress_tool/db_stress_test_base.cc:290 (db_stress+0x34712c)
```
This PR added all the missing mutex that should've been in place
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10610
Test Plan:
- Past repro command
- Existing CI
Reviewed By: riversand963
Differential Revision: D39143016
Pulled By: hx235
fbshipit-source-id: 51dd4db55ad306f3dbda5d0dd54d6f2513cf70f2
2022-08-30 23:24:01 +00:00
|
|
|
InstrumentedMutexLock l(db_mutex_);
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
// Apply min function first since We need to compute the extra subcompaction
|
|
|
|
// against compaction limits. And then try to reserve threads for extra
|
|
|
|
// subcompactions. The actual number of reserved threads could be less than
|
|
|
|
// the desired number.
|
|
|
|
int available_bg_compactions_against_db_limit =
|
|
|
|
std::max(max_db_compactions - *bg_compaction_scheduled_ -
|
|
|
|
*bg_bottom_compaction_scheduled_,
|
|
|
|
0);
|
|
|
|
// Reservation only supports backgrdoun threads of which the priority is
|
|
|
|
// between BOTTOM and HIGH. Need to degrade the priority to HIGH if the
|
|
|
|
// origin thread_pri_ is higher than that. Similar to ReleaseThreads().
|
|
|
|
extra_num_subcompaction_threads_reserved_ =
|
|
|
|
env_->ReserveThreads(std::min(num_extra_required_subcompactions,
|
|
|
|
available_bg_compactions_against_db_limit),
|
|
|
|
std::min(thread_pri_, Env::Priority::HIGH));
|
|
|
|
|
|
|
|
// Update bg_compaction_scheduled_ or bg_bottom_compaction_scheduled_
|
|
|
|
// depending on if this compaction has the bottommost priority
|
|
|
|
if (thread_pri_ == Env::Priority::BOTTOM) {
|
|
|
|
*bg_bottom_compaction_scheduled_ +=
|
|
|
|
extra_num_subcompaction_threads_reserved_;
|
|
|
|
} else {
|
|
|
|
*bg_compaction_scheduled_ += extra_num_subcompaction_threads_reserved_;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void CompactionJob::ShrinkSubcompactionResources(uint64_t num_extra_resources) {
|
|
|
|
// Do nothing when we have zero resources to shrink
|
|
|
|
if (num_extra_resources == 0) return;
|
|
|
|
db_mutex_->Lock();
|
|
|
|
// We cannot release threads more than what we reserved before
|
|
|
|
int extra_num_subcompaction_threads_released = env_->ReleaseThreads(
|
|
|
|
(int)num_extra_resources, std::min(thread_pri_, Env::Priority::HIGH));
|
|
|
|
// Update the number of reserved threads and the number of background
|
|
|
|
// scheduled compactions for this compaction job
|
|
|
|
extra_num_subcompaction_threads_reserved_ -=
|
|
|
|
extra_num_subcompaction_threads_released;
|
|
|
|
// TODO (zichen): design a test case with new subcompaction partitioning
|
|
|
|
// when the number of actual partitions is less than the number of planned
|
|
|
|
// partitions
|
|
|
|
assert(extra_num_subcompaction_threads_released == (int)num_extra_resources);
|
|
|
|
// Update bg_compaction_scheduled_ or bg_bottom_compaction_scheduled_
|
|
|
|
// depending on if this compaction has the bottommost priority
|
|
|
|
if (thread_pri_ == Env::Priority::BOTTOM) {
|
|
|
|
*bg_bottom_compaction_scheduled_ -=
|
|
|
|
extra_num_subcompaction_threads_released;
|
|
|
|
} else {
|
|
|
|
*bg_compaction_scheduled_ -= extra_num_subcompaction_threads_released;
|
|
|
|
}
|
|
|
|
db_mutex_->Unlock();
|
|
|
|
TEST_SYNC_POINT("CompactionJob::ShrinkSubcompactionResources:0");
|
|
|
|
}
|
|
|
|
|
|
|
|
void CompactionJob::ReleaseSubcompactionResources() {
|
|
|
|
if (extra_num_subcompaction_threads_reserved_ == 0) {
|
|
|
|
return;
|
|
|
|
}
|
Add missing mutex when reading from shared variable bg_bottom_compaction_scheduled_, bg_compaction_scheduled_ (#10610)
Summary:
**Context/Summary:**
According to https://github.com/facebook/rocksdb/blob/7.6.fb/db/compaction/compaction_job.h#L328-L332, any reading in the form of `*bg_compaction_scheduled_` , `*bg_bottom_compaction_scheduled_` should be protected by mutex, which isn't the case for some assert statement. This leads to a data race that can be repro-ed by the following command (command coming soon)
```
db=/dev/shm/rocksdb_crashtest_blackbox
exp=/dev/shm/rocksdb_crashtest_expected
rm -rf $db $exp
mkdir -p $exp
./db_stress --clear_column_family_one_in=0 --column_families=1 --db=$db --delpercent=10 --delrangepercent=0 --destroy_db_initially=1 --expected_values_dir=$exp --iterpercent=0 --key_len_percent_dist=1,30,69 --max_key=1000000 --max_key_len=3 --prefixpercent=0 --readpercent=0 --reopen=0 --ops_per_thread=100000000 --value_size_mult=32 --writepercent=90 --compaction_pri=4 --use_txn=1 --level_compaction_dynamic_level_bytes=True --compaction_ttl=0 --compact_files_one_in=1000000 --compact_range_one_in=1000000 --value_size_mult=32 --verify_db_one_in=1000 --write_buffer_size=65536 --mark_for_compaction_one_file_in=10 --max_background_compactions=20 --max_key=25000000 --max_key_len=3 --max_write_buffer_number=3 --max_write_buffer_size_to_maintain=2097152 --target_file_size_base=2097152 --target_file_size_multiplier=2
```
```
WARNING: ThreadSanitizer: data race (pid=73424)
Read of size 4 at 0x7b8c0000151c by thread T13:
#0 ReleaseSubcompactionResources internal_repo_rocksdb/repo/db/compaction/compaction_job.cc:390 (db_stress+0x630aa3)
https://github.com/facebook/rocksdb/issues/1 rocksdb::CompactionJob::Run() internal_repo_rocksdb/repo/db/compaction/compaction_job.cc:741 (db_stress+0x630aa3)
https://github.com/facebook/rocksdb/issues/2 rocksdb::DBImpl::BackgroundCompaction(bool*, rocksdb::JobContext*, rocksdb::LogBuffer*, rocksdb::DBImpl::PrepickedCompaction*, rocksdb::Env::Priority) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:3436 (db_stress+0x60b2cc)
https://github.com/facebook/rocksdb/issues/3 rocksdb::DBImpl::BackgroundCallCompaction(rocksdb::DBImpl::PrepickedCompaction*, rocksdb::Env::Priority) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:2950 (db_stress+0x606d79)
https://github.com/facebook/rocksdb/issues/4 rocksdb::DBImpl::BGWorkCompaction(void*) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:2693 (db_stress+0x60356a)
Previous write of size 4 at 0x7b8c0000151c by thread T12 (mutexes: write M438955329917552448):
#0 rocksdb::DBImpl::BackgroundCallCompaction(rocksdb::DBImpl::PrepickedCompaction*, rocksdb::Env::Priority) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:3018 (db_stress+0x6072a1)
https://github.com/facebook/rocksdb/issues/1 rocksdb::DBImpl::BGWorkCompaction(void*) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:2693 (db_stress+0x60356a)
Location is heap block of size 6720 at 0x7b8c00000000 allocated by main thread:
#0 operator new(unsigned long, std::align_val_t) <null> (db_stress+0xbab5bb)
https://github.com/facebook/rocksdb/issues/1 rocksdb::DBImpl::Open(rocksdb::DBOptions const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<rocksdb::ColumnFamilyDescriptor, std::allocator<rocksdb::ColumnFamilyDescriptor> > const&, std::vector<rocksdb::ColumnFamilyHandle*, std::allocator<rocksdb::ColumnFamilyHandle*> >*, rocksdb::DB**, bool, bool) internal_repo_rocksdb/repo/db/db_impl/db_impl_open.cc:1811 (db_stress+0x69769a)
https://github.com/facebook/rocksdb/issues/2 rocksdb::TransactionDB::Open(rocksdb::DBOptions const&, rocksdb::TransactionDBOptions const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<rocksdb::ColumnFamilyDescriptor, std::allocator<rocksdb::ColumnFamilyDescriptor> > const&, std::vector<rocksdb::ColumnFamilyHandle*, std::allocator<rocksdb::ColumnFamilyHandle*> >*, rocksdb::TransactionDB**) internal_repo_rocksdb/repo/utilities/transactions/pessimistic_transaction_db.cc:258 (db_stress+0x8ae1f4)
https://github.com/facebook/rocksdb/issues/3 rocksdb::StressTest::Open(rocksdb::SharedState*) internal_repo_rocksdb/repo/db_stress_tool/db_stress_test_base.cc:2611 (db_stress+0x32b927)
https://github.com/facebook/rocksdb/issues/4 rocksdb::StressTest::InitDb(rocksdb::SharedState*) internal_repo_rocksdb/repo/db_stress_tool/db_stress_test_base.cc:290 (db_stress+0x34712c)
```
This PR added all the missing mutex that should've been in place
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10610
Test Plan:
- Past repro command
- Existing CI
Reviewed By: riversand963
Differential Revision: D39143016
Pulled By: hx235
fbshipit-source-id: 51dd4db55ad306f3dbda5d0dd54d6f2513cf70f2
2022-08-30 23:24:01 +00:00
|
|
|
{
|
|
|
|
InstrumentedMutexLock l(db_mutex_);
|
|
|
|
// The number of reserved threads becomes larger than 0 only if the
|
|
|
|
// compaction prioity is round robin and there is no sufficient
|
|
|
|
// sub-compactions available
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
|
Add missing mutex when reading from shared variable bg_bottom_compaction_scheduled_, bg_compaction_scheduled_ (#10610)
Summary:
**Context/Summary:**
According to https://github.com/facebook/rocksdb/blob/7.6.fb/db/compaction/compaction_job.h#L328-L332, any reading in the form of `*bg_compaction_scheduled_` , `*bg_bottom_compaction_scheduled_` should be protected by mutex, which isn't the case for some assert statement. This leads to a data race that can be repro-ed by the following command (command coming soon)
```
db=/dev/shm/rocksdb_crashtest_blackbox
exp=/dev/shm/rocksdb_crashtest_expected
rm -rf $db $exp
mkdir -p $exp
./db_stress --clear_column_family_one_in=0 --column_families=1 --db=$db --delpercent=10 --delrangepercent=0 --destroy_db_initially=1 --expected_values_dir=$exp --iterpercent=0 --key_len_percent_dist=1,30,69 --max_key=1000000 --max_key_len=3 --prefixpercent=0 --readpercent=0 --reopen=0 --ops_per_thread=100000000 --value_size_mult=32 --writepercent=90 --compaction_pri=4 --use_txn=1 --level_compaction_dynamic_level_bytes=True --compaction_ttl=0 --compact_files_one_in=1000000 --compact_range_one_in=1000000 --value_size_mult=32 --verify_db_one_in=1000 --write_buffer_size=65536 --mark_for_compaction_one_file_in=10 --max_background_compactions=20 --max_key=25000000 --max_key_len=3 --max_write_buffer_number=3 --max_write_buffer_size_to_maintain=2097152 --target_file_size_base=2097152 --target_file_size_multiplier=2
```
```
WARNING: ThreadSanitizer: data race (pid=73424)
Read of size 4 at 0x7b8c0000151c by thread T13:
#0 ReleaseSubcompactionResources internal_repo_rocksdb/repo/db/compaction/compaction_job.cc:390 (db_stress+0x630aa3)
https://github.com/facebook/rocksdb/issues/1 rocksdb::CompactionJob::Run() internal_repo_rocksdb/repo/db/compaction/compaction_job.cc:741 (db_stress+0x630aa3)
https://github.com/facebook/rocksdb/issues/2 rocksdb::DBImpl::BackgroundCompaction(bool*, rocksdb::JobContext*, rocksdb::LogBuffer*, rocksdb::DBImpl::PrepickedCompaction*, rocksdb::Env::Priority) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:3436 (db_stress+0x60b2cc)
https://github.com/facebook/rocksdb/issues/3 rocksdb::DBImpl::BackgroundCallCompaction(rocksdb::DBImpl::PrepickedCompaction*, rocksdb::Env::Priority) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:2950 (db_stress+0x606d79)
https://github.com/facebook/rocksdb/issues/4 rocksdb::DBImpl::BGWorkCompaction(void*) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:2693 (db_stress+0x60356a)
Previous write of size 4 at 0x7b8c0000151c by thread T12 (mutexes: write M438955329917552448):
#0 rocksdb::DBImpl::BackgroundCallCompaction(rocksdb::DBImpl::PrepickedCompaction*, rocksdb::Env::Priority) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:3018 (db_stress+0x6072a1)
https://github.com/facebook/rocksdb/issues/1 rocksdb::DBImpl::BGWorkCompaction(void*) internal_repo_rocksdb/repo/db/db_impl/db_impl_compaction_flush.cc:2693 (db_stress+0x60356a)
Location is heap block of size 6720 at 0x7b8c00000000 allocated by main thread:
#0 operator new(unsigned long, std::align_val_t) <null> (db_stress+0xbab5bb)
https://github.com/facebook/rocksdb/issues/1 rocksdb::DBImpl::Open(rocksdb::DBOptions const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<rocksdb::ColumnFamilyDescriptor, std::allocator<rocksdb::ColumnFamilyDescriptor> > const&, std::vector<rocksdb::ColumnFamilyHandle*, std::allocator<rocksdb::ColumnFamilyHandle*> >*, rocksdb::DB**, bool, bool) internal_repo_rocksdb/repo/db/db_impl/db_impl_open.cc:1811 (db_stress+0x69769a)
https://github.com/facebook/rocksdb/issues/2 rocksdb::TransactionDB::Open(rocksdb::DBOptions const&, rocksdb::TransactionDBOptions const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<rocksdb::ColumnFamilyDescriptor, std::allocator<rocksdb::ColumnFamilyDescriptor> > const&, std::vector<rocksdb::ColumnFamilyHandle*, std::allocator<rocksdb::ColumnFamilyHandle*> >*, rocksdb::TransactionDB**) internal_repo_rocksdb/repo/utilities/transactions/pessimistic_transaction_db.cc:258 (db_stress+0x8ae1f4)
https://github.com/facebook/rocksdb/issues/3 rocksdb::StressTest::Open(rocksdb::SharedState*) internal_repo_rocksdb/repo/db_stress_tool/db_stress_test_base.cc:2611 (db_stress+0x32b927)
https://github.com/facebook/rocksdb/issues/4 rocksdb::StressTest::InitDb(rocksdb::SharedState*) internal_repo_rocksdb/repo/db_stress_tool/db_stress_test_base.cc:290 (db_stress+0x34712c)
```
This PR added all the missing mutex that should've been in place
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10610
Test Plan:
- Past repro command
- Existing CI
Reviewed By: riversand963
Differential Revision: D39143016
Pulled By: hx235
fbshipit-source-id: 51dd4db55ad306f3dbda5d0dd54d6f2513cf70f2
2022-08-30 23:24:01 +00:00
|
|
|
// The scheduled compaction must be no less than 1 + extra number
|
|
|
|
// subcompactions using acquired resources since this compaction job has not
|
|
|
|
// finished yet
|
|
|
|
assert(*bg_bottom_compaction_scheduled_ >=
|
|
|
|
1 + extra_num_subcompaction_threads_reserved_ ||
|
|
|
|
*bg_compaction_scheduled_ >=
|
|
|
|
1 + extra_num_subcompaction_threads_reserved_);
|
|
|
|
}
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
ShrinkSubcompactionResources(extra_num_subcompaction_threads_reserved_);
|
|
|
|
}
|
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
struct RangeWithSize {
|
|
|
|
Range range;
|
|
|
|
uint64_t size;
|
2015-08-18 18:06:23 +00:00
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
RangeWithSize(const Slice& a, const Slice& b, uint64_t s = 0)
|
|
|
|
: range(a, b), size(s) {}
|
|
|
|
};
|
|
|
|
|
|
|
|
void CompactionJob::GenSubcompactionBoundaries() {
|
2022-07-24 00:38:49 +00:00
|
|
|
// The goal is to find some boundary keys so that we can evenly partition
|
|
|
|
// the compaction input data into max_subcompactions ranges.
|
|
|
|
// For every input file, we ask TableReader to estimate 128 anchor points
|
|
|
|
// that evenly partition the input file into 128 ranges and the range
|
|
|
|
// sizes. This can be calculated by scanning index blocks of the file.
|
|
|
|
// Once we have the anchor points for all the input files, we merge them
|
|
|
|
// together and try to find keys dividing ranges evenly.
|
|
|
|
// For example, if we have two input files, and each returns following
|
|
|
|
// ranges:
|
|
|
|
// File1: (a1, 1000), (b1, 1200), (c1, 1100)
|
|
|
|
// File2: (a2, 1100), (b2, 1000), (c2, 1000)
|
|
|
|
// We total sort the keys to following:
|
|
|
|
// (a1, 1000), (a2, 1100), (b1, 1200), (b2, 1000), (c1, 1100), (c2, 1000)
|
|
|
|
// We calculate the total size by adding up all ranges' size, which is 6400.
|
|
|
|
// If we would like to partition into 2 subcompactions, the target of the
|
|
|
|
// range size is 3200. Based on the size, we take "b1" as the partition key
|
|
|
|
// since the first three ranges would hit 3200.
|
|
|
|
//
|
|
|
|
// Note that the ranges are actually overlapping. For example, in the example
|
|
|
|
// above, the range ending with "b1" is overlapping with the range ending with
|
|
|
|
// "b2". So the size 1000+1100+1200 is an underestimation of data size up to
|
|
|
|
// "b1". In extreme cases where we only compact N L0 files, a range can
|
|
|
|
// overlap with N-1 other ranges. Since we requested a relatively large number
|
|
|
|
// (128) of ranges from each input files, even N range overlapping would
|
|
|
|
// cause relatively small inaccuracy.
|
2024-01-25 20:00:15 +00:00
|
|
|
ReadOptions read_options(Env::IOActivity::kCompaction);
|
|
|
|
read_options.rate_limiter_priority = GetRateLimiterPriority();
|
2015-09-10 20:50:00 +00:00
|
|
|
auto* c = compact_->compaction;
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
if (c->max_subcompactions() <= 1 &&
|
|
|
|
!(c->immutable_options()->compaction_pri == kRoundRobin &&
|
|
|
|
c->immutable_options()->compaction_style == kCompactionStyleLevel)) {
|
2022-07-24 00:38:49 +00:00
|
|
|
return;
|
|
|
|
}
|
2015-09-10 20:50:00 +00:00
|
|
|
auto* cfd = c->column_family_data();
|
2015-12-22 06:34:57 +00:00
|
|
|
const Comparator* cfd_comparator = cfd->user_comparator();
|
2022-07-24 00:38:49 +00:00
|
|
|
const InternalKeyComparator& icomp = cfd->internal_comparator();
|
|
|
|
|
|
|
|
auto* v = compact_->compaction->input_version();
|
|
|
|
int base_level = v->storage_info()->base_level();
|
|
|
|
InstrumentedMutexUnlock unlock_guard(db_mutex_);
|
|
|
|
|
|
|
|
uint64_t total_size = 0;
|
|
|
|
std::vector<TableReader::Anchor> all_anchors;
|
2015-09-10 20:50:00 +00:00
|
|
|
int start_lvl = c->start_level();
|
|
|
|
int out_lvl = c->output_level();
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
for (size_t lvl_idx = 0; lvl_idx < c->num_input_levels(); lvl_idx++) {
|
|
|
|
int lvl = c->level(lvl_idx);
|
|
|
|
if (lvl >= start_lvl && lvl <= out_lvl) {
|
|
|
|
const LevelFilesBrief* flevel = c->input_levels(lvl_idx);
|
|
|
|
size_t num_files = flevel->num_files;
|
|
|
|
|
|
|
|
if (num_files == 0) {
|
2016-03-02 19:21:26 +00:00
|
|
|
continue;
|
2015-09-10 20:50:00 +00:00
|
|
|
}
|
2015-08-18 21:56:31 +00:00
|
|
|
|
2022-07-24 00:38:49 +00:00
|
|
|
for (size_t i = 0; i < num_files; i++) {
|
|
|
|
FileMetaData* f = flevel->files[i].file_metadata;
|
|
|
|
std::vector<TableReader::Anchor> my_anchors;
|
|
|
|
Status s = cfd->table_cache()->ApproximateKeyAnchors(
|
2023-04-25 19:08:23 +00:00
|
|
|
read_options, icomp, *f,
|
|
|
|
c->mutable_cf_options()->block_protection_bytes_per_key,
|
|
|
|
my_anchors);
|
2022-07-24 00:38:49 +00:00
|
|
|
if (!s.ok() || my_anchors.empty()) {
|
|
|
|
my_anchors.emplace_back(f->largest.user_key(), f->fd.GetFileSize());
|
2015-09-10 20:50:00 +00:00
|
|
|
}
|
2022-07-24 00:38:49 +00:00
|
|
|
for (auto& ac : my_anchors) {
|
|
|
|
// Can be optimize to avoid this loop.
|
|
|
|
total_size += ac.range_size;
|
Parallelize L0-L1 Compaction: Restructure Compaction Job
Summary:
As of now compactions involving files from Level 0 and Level 1 are single
threaded because the files in L0, although sorted, are not range partitioned like
the other levels. This means that during L0-L1 compaction each file from L1
needs to be merged with potentially all the files from L0.
This attempt to parallelize the L0-L1 compaction assigns a thread and a
corresponding iterator to each L1 file that then considers only the key range
found in that L1 file and only the L0 files that have those keys (and only the
specific portion of those L0 files in which those keys are found). In this way
the overlap is minimized and potentially eliminated between different iterators
focusing on the same files.
The first step is to restructure the compaction logic to break L0-L1 compactions
into multiple, smaller, sequential compactions. Eventually each of these smaller
jobs will be run simultaneously. Areas to pay extra attention to are
# Correct aggregation of compaction job statistics across multiple threads
# Proper opening/closing of output files (make sure each thread's is unique)
# Keys that span multiple L1 files
# Skewed distributions of keys within L0 files
Test Plan: Make and run db_test (newer version has separate compaction tests) and compaction_job_stats_test
Reviewers: igor, noetzli, anthony, sdong, yhchiang
Reviewed By: yhchiang
Subscribers: MarkCallaghan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D42699
2015-08-03 18:32:14 +00:00
|
|
|
}
|
2015-09-10 20:50:00 +00:00
|
|
|
|
2022-07-24 00:38:49 +00:00
|
|
|
all_anchors.insert(all_anchors.end(), my_anchors.begin(),
|
|
|
|
my_anchors.end());
|
|
|
|
}
|
2015-09-10 20:50:00 +00:00
|
|
|
}
|
|
|
|
}
|
2022-07-24 00:38:49 +00:00
|
|
|
// Here we total sort all the anchor points across all files and go through
|
|
|
|
// them in the sorted order to find partitioning boundaries.
|
|
|
|
// Not the most efficient implementation. A much more efficient algorithm
|
|
|
|
// probably exists. But they are more complex. If performance turns out to
|
|
|
|
// be a problem, we can optimize.
|
|
|
|
std::sort(
|
|
|
|
all_anchors.begin(), all_anchors.end(),
|
|
|
|
[cfd_comparator](TableReader::Anchor& a, TableReader::Anchor& b) -> bool {
|
2022-09-15 04:59:56 +00:00
|
|
|
return cfd_comparator->CompareWithoutTimestamp(a.user_key, b.user_key) <
|
|
|
|
0;
|
2022-07-24 00:38:49 +00:00
|
|
|
});
|
2015-09-10 20:50:00 +00:00
|
|
|
|
2022-07-31 18:39:16 +00:00
|
|
|
// Remove duplicated entries from boundaries.
|
|
|
|
all_anchors.erase(
|
|
|
|
std::unique(all_anchors.begin(), all_anchors.end(),
|
|
|
|
[cfd_comparator](TableReader::Anchor& a,
|
|
|
|
TableReader::Anchor& b) -> bool {
|
|
|
|
return cfd_comparator->CompareWithoutTimestamp(
|
2022-09-15 04:59:56 +00:00
|
|
|
a.user_key, b.user_key) == 0;
|
2022-07-31 18:39:16 +00:00
|
|
|
}),
|
|
|
|
all_anchors.end());
|
|
|
|
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
// Get the number of planned subcompactions, may update reserve threads
|
|
|
|
// and update extra_num_subcompaction_threads_reserved_ for round-robin
|
|
|
|
uint64_t num_planned_subcompactions;
|
|
|
|
if (c->immutable_options()->compaction_pri == kRoundRobin &&
|
|
|
|
c->immutable_options()->compaction_style == kCompactionStyleLevel) {
|
|
|
|
// For round-robin compaction prioity, we need to employ more
|
|
|
|
// subcompactions (may exceed the max_subcompaction limit). The extra
|
|
|
|
// subcompactions will be executed using reserved threads and taken into
|
|
|
|
// account bg_compaction_scheduled or bg_bottom_compaction_scheduled.
|
|
|
|
|
|
|
|
// Initialized by the number of input files
|
|
|
|
num_planned_subcompactions = static_cast<uint64_t>(c->num_input_files(0));
|
|
|
|
uint64_t max_subcompactions_limit = GetSubcompactionsLimit();
|
|
|
|
if (max_subcompactions_limit < num_planned_subcompactions) {
|
|
|
|
// Assert two pointers are not empty so that we can use extra
|
|
|
|
// subcompactions against db compaction limits
|
|
|
|
assert(bg_bottom_compaction_scheduled_ != nullptr);
|
|
|
|
assert(bg_compaction_scheduled_ != nullptr);
|
|
|
|
// Reserve resources when max_subcompaction is not sufficient
|
|
|
|
AcquireSubcompactionResources(
|
|
|
|
(int)(num_planned_subcompactions - max_subcompactions_limit));
|
|
|
|
// Subcompactions limit changes after acquiring additional resources.
|
|
|
|
// Need to call GetSubcompactionsLimit() again to update the number
|
|
|
|
// of planned subcompactions
|
|
|
|
num_planned_subcompactions =
|
|
|
|
std::min(num_planned_subcompactions, GetSubcompactionsLimit());
|
2022-07-27 03:37:34 +00:00
|
|
|
} else {
|
|
|
|
num_planned_subcompactions = max_subcompactions_limit;
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
}
|
|
|
|
} else {
|
|
|
|
num_planned_subcompactions = GetSubcompactionsLimit();
|
|
|
|
}
|
|
|
|
|
|
|
|
TEST_SYNC_POINT_CALLBACK("CompactionJob::GenSubcompactionBoundaries:0",
|
|
|
|
&num_planned_subcompactions);
|
|
|
|
if (num_planned_subcompactions == 1) return;
|
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
// Group the ranges into subcompactions
|
2022-07-24 00:38:49 +00:00
|
|
|
uint64_t target_range_size = std::max(
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
total_size / num_planned_subcompactions,
|
2021-06-16 23:50:43 +00:00
|
|
|
MaxFileSizeForLevel(
|
|
|
|
*(c->mutable_cf_options()), out_lvl,
|
|
|
|
c->immutable_options()->compaction_style, base_level,
|
2022-07-24 00:38:49 +00:00
|
|
|
c->immutable_options()->level_compaction_dynamic_level_bytes));
|
|
|
|
|
|
|
|
if (target_range_size >= total_size) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
uint64_t next_threshold = target_range_size;
|
|
|
|
uint64_t cumulative_size = 0;
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
uint64_t num_actual_subcompactions = 1U;
|
2022-07-24 00:38:49 +00:00
|
|
|
for (TableReader::Anchor& anchor : all_anchors) {
|
|
|
|
cumulative_size += anchor.range_size;
|
|
|
|
if (cumulative_size > next_threshold) {
|
|
|
|
next_threshold += target_range_size;
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
num_actual_subcompactions++;
|
2022-07-24 00:38:49 +00:00
|
|
|
boundaries_.push_back(anchor.user_key);
|
|
|
|
}
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
if (num_actual_subcompactions == num_planned_subcompactions) {
|
2022-07-24 00:38:49 +00:00
|
|
|
break;
|
2015-09-10 20:50:00 +00:00
|
|
|
}
|
2015-08-18 18:06:23 +00:00
|
|
|
}
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
TEST_SYNC_POINT_CALLBACK("CompactionJob::GenSubcompactionBoundaries:1",
|
|
|
|
&num_actual_subcompactions);
|
|
|
|
// Shrink extra subcompactions resources when extra resrouces are acquired
|
|
|
|
ShrinkSubcompactionResources(
|
|
|
|
std::min((int)(num_planned_subcompactions - num_actual_subcompactions),
|
|
|
|
extra_num_subcompaction_threads_reserved_));
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
Status CompactionJob::Run() {
|
2015-03-13 17:45:40 +00:00
|
|
|
AutoThreadOperationStageUpdater stage_updater(
|
|
|
|
ThreadStatus::STAGE_COMPACTION_RUN);
|
2015-03-13 18:59:00 +00:00
|
|
|
TEST_SYNC_POINT("CompactionJob::Run():Start");
|
2014-10-31 23:31:25 +00:00
|
|
|
log_buffer_->FlushBufferToLog();
|
2015-08-18 18:06:23 +00:00
|
|
|
LogCompaction();
|
Include bunch of more events into EventLogger
Summary:
Added these events:
* Recovery start, finish and also when recovery creates a file
* Trivial move
* Compaction start, finish and when compaction creates a file
* Flush start, finish
Also includes small fix to EventLogger
Also added option ROCKSDB_PRINT_EVENTS_TO_STDOUT which is useful when we debug things. I've spent far too much time chasing LOG files.
Still didn't get sst table properties in JSON. They are written very deeply into the stack. I'll address in separate diff.
TODO:
* Write specification. Let's first use this for a while and figure out what's good data to put here, too. After that we'll write spec
* Write tools that parse and analyze LOGs. This can be in python or go. Good intern task.
Test Plan: Ran db_bench with ROCKSDB_PRINT_EVENTS_TO_STDOUT. Here's the output: https://phabricator.fb.com/P19811976
Reviewers: sdong, yhchiang, rven, MarkCallaghan, kradhakrishnan, anthony
Reviewed By: anthony
Subscribers: dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D37521
2015-04-27 22:20:02 +00:00
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
const size_t num_threads = compact_->sub_compact_states.size();
|
|
|
|
assert(num_threads > 0);
|
2021-03-15 11:32:24 +00:00
|
|
|
const uint64_t start_micros = db_options_.clock->NowMicros();
|
2015-09-10 20:50:00 +00:00
|
|
|
|
|
|
|
// Launch a thread for each of subcompactions 1...num_threads-1
|
2017-02-06 22:43:55 +00:00
|
|
|
std::vector<port::Thread> thread_pool;
|
2015-09-10 20:50:00 +00:00
|
|
|
thread_pool.reserve(num_threads - 1);
|
|
|
|
for (size_t i = 1; i < compact_->sub_compact_states.size(); i++) {
|
|
|
|
thread_pool.emplace_back(&CompactionJob::ProcessKeyValueCompaction, this,
|
|
|
|
&compact_->sub_compact_states[i]);
|
2015-08-18 18:06:23 +00:00
|
|
|
}
|
2015-09-10 20:50:00 +00:00
|
|
|
|
|
|
|
// Always schedule the first subcompaction (whether or not there are also
|
|
|
|
// others) in the current thread to be efficient with resources
|
|
|
|
ProcessKeyValueCompaction(&compact_->sub_compact_states[0]);
|
|
|
|
|
|
|
|
// Wait for all other threads (if there are any) to finish execution
|
|
|
|
for (auto& thread : thread_pool) {
|
|
|
|
thread.join();
|
|
|
|
}
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
compaction_stats_.SetMicros(db_options_.clock->NowMicros() - start_micros);
|
|
|
|
|
|
|
|
for (auto& state : compact_->sub_compact_states) {
|
|
|
|
compaction_stats_.AddCpuMicros(state.compaction_job_stats.cpu_micros);
|
|
|
|
state.RemoveLastEmptyOutput();
|
2019-01-30 00:23:21 +00:00
|
|
|
}
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
RecordTimeToHistogram(stats_, COMPACTION_TIME,
|
|
|
|
compaction_stats_.stats.micros);
|
2019-02-28 18:14:19 +00:00
|
|
|
RecordTimeToHistogram(stats_, COMPACTION_CPU_TIME,
|
2022-07-14 03:54:49 +00:00
|
|
|
compaction_stats_.stats.cpu_micros);
|
Parallelize L0-L1 Compaction: Restructure Compaction Job
Summary:
As of now compactions involving files from Level 0 and Level 1 are single
threaded because the files in L0, although sorted, are not range partitioned like
the other levels. This means that during L0-L1 compaction each file from L1
needs to be merged with potentially all the files from L0.
This attempt to parallelize the L0-L1 compaction assigns a thread and a
corresponding iterator to each L1 file that then considers only the key range
found in that L1 file and only the L0 files that have those keys (and only the
specific portion of those L0 files in which those keys are found). In this way
the overlap is minimized and potentially eliminated between different iterators
focusing on the same files.
The first step is to restructure the compaction logic to break L0-L1 compactions
into multiple, smaller, sequential compactions. Eventually each of these smaller
jobs will be run simultaneously. Areas to pay extra attention to are
# Correct aggregation of compaction job statistics across multiple threads
# Proper opening/closing of output files (make sure each thread's is unique)
# Keys that span multiple L1 files
# Skewed distributions of keys within L0 files
Test Plan: Make and run db_test (newer version has separate compaction tests) and compaction_job_stats_test
Reviewers: igor, noetzli, anthony, sdong, yhchiang
Reviewed By: yhchiang
Subscribers: MarkCallaghan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D42699
2015-08-03 18:32:14 +00:00
|
|
|
|
2018-08-14 00:31:58 +00:00
|
|
|
TEST_SYNC_POINT("CompactionJob::Run:BeforeVerify");
|
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
// Check if any thread encountered an error during execution
|
2015-08-18 18:06:23 +00:00
|
|
|
Status status;
|
2020-07-15 18:02:44 +00:00
|
|
|
IOStatus io_s;
|
2020-10-26 20:50:03 +00:00
|
|
|
bool wrote_new_blob_files = false;
|
|
|
|
|
2015-08-18 18:06:23 +00:00
|
|
|
for (const auto& state : compact_->sub_compact_states) {
|
|
|
|
if (!state.status.ok()) {
|
|
|
|
status = state.status;
|
2020-07-15 18:02:44 +00:00
|
|
|
io_s = state.io_status;
|
Parallelize L0-L1 Compaction: Restructure Compaction Job
Summary:
As of now compactions involving files from Level 0 and Level 1 are single
threaded because the files in L0, although sorted, are not range partitioned like
the other levels. This means that during L0-L1 compaction each file from L1
needs to be merged with potentially all the files from L0.
This attempt to parallelize the L0-L1 compaction assigns a thread and a
corresponding iterator to each L1 file that then considers only the key range
found in that L1 file and only the L0 files that have those keys (and only the
specific portion of those L0 files in which those keys are found). In this way
the overlap is minimized and potentially eliminated between different iterators
focusing on the same files.
The first step is to restructure the compaction logic to break L0-L1 compactions
into multiple, smaller, sequential compactions. Eventually each of these smaller
jobs will be run simultaneously. Areas to pay extra attention to are
# Correct aggregation of compaction job statistics across multiple threads
# Proper opening/closing of output files (make sure each thread's is unique)
# Keys that span multiple L1 files
# Skewed distributions of keys within L0 files
Test Plan: Make and run db_test (newer version has separate compaction tests) and compaction_job_stats_test
Reviewers: igor, noetzli, anthony, sdong, yhchiang
Reviewed By: yhchiang
Subscribers: MarkCallaghan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D42699
2015-08-03 18:32:14 +00:00
|
|
|
break;
|
|
|
|
}
|
2020-10-26 20:50:03 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
if (state.Current().HasBlobFileAdditions()) {
|
2020-10-26 20:50:03 +00:00
|
|
|
wrote_new_blob_files = true;
|
|
|
|
}
|
Parallelize L0-L1 Compaction: Restructure Compaction Job
Summary:
As of now compactions involving files from Level 0 and Level 1 are single
threaded because the files in L0, although sorted, are not range partitioned like
the other levels. This means that during L0-L1 compaction each file from L1
needs to be merged with potentially all the files from L0.
This attempt to parallelize the L0-L1 compaction assigns a thread and a
corresponding iterator to each L1 file that then considers only the key range
found in that L1 file and only the L0 files that have those keys (and only the
specific portion of those L0 files in which those keys are found). In this way
the overlap is minimized and potentially eliminated between different iterators
focusing on the same files.
The first step is to restructure the compaction logic to break L0-L1 compactions
into multiple, smaller, sequential compactions. Eventually each of these smaller
jobs will be run simultaneously. Areas to pay extra attention to are
# Correct aggregation of compaction job statistics across multiple threads
# Proper opening/closing of output files (make sure each thread's is unique)
# Keys that span multiple L1 files
# Skewed distributions of keys within L0 files
Test Plan: Make and run db_test (newer version has separate compaction tests) and compaction_job_stats_test
Reviewers: igor, noetzli, anthony, sdong, yhchiang
Reviewed By: yhchiang
Subscribers: MarkCallaghan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D42699
2015-08-03 18:32:14 +00:00
|
|
|
}
|
2020-10-26 20:50:03 +00:00
|
|
|
|
2020-07-15 18:02:44 +00:00
|
|
|
if (io_status_.ok()) {
|
|
|
|
io_status_ = io_s;
|
|
|
|
}
|
2020-10-26 20:50:03 +00:00
|
|
|
if (status.ok()) {
|
|
|
|
constexpr IODebugContext* dbg = nullptr;
|
|
|
|
|
|
|
|
if (output_directory_) {
|
2021-11-03 19:20:19 +00:00
|
|
|
io_s = output_directory_->FsyncWithDirOptions(
|
|
|
|
IOOptions(), dbg,
|
|
|
|
DirFsyncOptions(DirFsyncOptions::FsyncReason::kNewFileSynced));
|
2020-10-26 20:50:03 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
if (io_s.ok() && wrote_new_blob_files && blob_output_directory_ &&
|
|
|
|
blob_output_directory_ != output_directory_) {
|
2021-11-03 19:20:19 +00:00
|
|
|
io_s = blob_output_directory_->FsyncWithDirOptions(
|
|
|
|
IOOptions(), dbg,
|
|
|
|
DirFsyncOptions(DirFsyncOptions::FsyncReason::kNewFileSynced));
|
2020-10-26 20:50:03 +00:00
|
|
|
}
|
Pass IOStatus to write path and set retryable IO Error as hard error in BG jobs (#6487)
Summary:
In the current code base, we use Status to get and store the returned status from the call. Specifically, for IO related functions, the current Status cannot reflect the IO Error details such as error scope, error retryable attribute, and others. With the implementation of https://github.com/facebook/rocksdb/issues/5761, we have the new Wrapper for IO, which returns IOStatus instead of Status. However, the IOStatus is purged at the lower level of write path and transferred to Status.
The first job of this PR is to pass the IOStatus to the write path (flush, WAL write, and Compaction). The second job is to identify the Retryable IO Error as HardError, and set the bg_error_ as HardError. In this case, the DB Instance becomes read only. User is informed of the Status and need to take actions to deal with it (e.g., call db->Resume()).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6487
Test Plan: Added the testing case to error_handler_fs_test. Pass make asan_check
Reviewed By: anand1976
Differential Revision: D20685017
Pulled By: zhichao-cao
fbshipit-source-id: ff85f042896243abcd6ef37877834e26f36b6eb0
2020-03-27 23:03:05 +00:00
|
|
|
}
|
2020-07-15 18:02:44 +00:00
|
|
|
if (io_status_.ok()) {
|
Pass IOStatus to write path and set retryable IO Error as hard error in BG jobs (#6487)
Summary:
In the current code base, we use Status to get and store the returned status from the call. Specifically, for IO related functions, the current Status cannot reflect the IO Error details such as error scope, error retryable attribute, and others. With the implementation of https://github.com/facebook/rocksdb/issues/5761, we have the new Wrapper for IO, which returns IOStatus instead of Status. However, the IOStatus is purged at the lower level of write path and transferred to Status.
The first job of this PR is to pass the IOStatus to the write path (flush, WAL write, and Compaction). The second job is to identify the Retryable IO Error as HardError, and set the bg_error_ as HardError. In this case, the DB Instance becomes read only. User is informed of the Status and need to take actions to deal with it (e.g., call db->Resume()).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6487
Test Plan: Added the testing case to error_handler_fs_test. Pass make asan_check
Reviewed By: anand1976
Differential Revision: D20685017
Pulled By: zhichao-cao
fbshipit-source-id: ff85f042896243abcd6ef37877834e26f36b6eb0
2020-03-27 23:03:05 +00:00
|
|
|
io_status_ = io_s;
|
2020-07-15 18:02:44 +00:00
|
|
|
}
|
|
|
|
if (status.ok()) {
|
Pass IOStatus to write path and set retryable IO Error as hard error in BG jobs (#6487)
Summary:
In the current code base, we use Status to get and store the returned status from the call. Specifically, for IO related functions, the current Status cannot reflect the IO Error details such as error scope, error retryable attribute, and others. With the implementation of https://github.com/facebook/rocksdb/issues/5761, we have the new Wrapper for IO, which returns IOStatus instead of Status. However, the IOStatus is purged at the lower level of write path and transferred to Status.
The first job of this PR is to pass the IOStatus to the write path (flush, WAL write, and Compaction). The second job is to identify the Retryable IO Error as HardError, and set the bg_error_ as HardError. In this case, the DB Instance becomes read only. User is informed of the Status and need to take actions to deal with it (e.g., call db->Resume()).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6487
Test Plan: Added the testing case to error_handler_fs_test. Pass make asan_check
Reviewed By: anand1976
Differential Revision: D20685017
Pulled By: zhichao-cao
fbshipit-source-id: ff85f042896243abcd6ef37877834e26f36b6eb0
2020-03-27 23:03:05 +00:00
|
|
|
status = io_s;
|
2018-09-14 20:17:12 +00:00
|
|
|
}
|
2018-06-15 19:28:06 +00:00
|
|
|
if (status.ok()) {
|
|
|
|
thread_pool.clear();
|
2022-07-14 03:54:49 +00:00
|
|
|
std::vector<const CompactionOutputs::Output*> files_output;
|
2018-06-15 19:28:06 +00:00
|
|
|
for (const auto& state : compact_->sub_compact_states) {
|
2022-07-14 03:54:49 +00:00
|
|
|
for (const auto& output : state.GetOutputs()) {
|
2020-07-22 18:03:29 +00:00
|
|
|
files_output.emplace_back(&output);
|
2018-06-15 19:28:06 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
ColumnFamilyData* cfd = compact_->compaction->column_family_data();
|
2022-01-21 19:36:36 +00:00
|
|
|
auto& prefix_extractor =
|
|
|
|
compact_->compaction->mutable_cf_options()->prefix_extractor;
|
2020-07-22 18:03:29 +00:00
|
|
|
std::atomic<size_t> next_file_idx(0);
|
2018-06-15 19:28:06 +00:00
|
|
|
auto verify_table = [&](Status& output_status) {
|
|
|
|
while (true) {
|
2020-07-22 18:03:29 +00:00
|
|
|
size_t file_idx = next_file_idx.fetch_add(1);
|
|
|
|
if (file_idx >= files_output.size()) {
|
2018-06-15 19:28:06 +00:00
|
|
|
break;
|
|
|
|
}
|
|
|
|
// Verify that the table is usable
|
2022-10-26 19:35:12 +00:00
|
|
|
// We set for_compaction to false and don't
|
|
|
|
// OptimizeForCompactionTableRead here because this is a special case
|
|
|
|
// after we finish the table building No matter whether
|
|
|
|
// use_direct_io_for_flush_and_compaction is true, we will regard this
|
|
|
|
// verification as user reads since the goal is to cache it here for
|
|
|
|
// further user reads
|
2024-01-25 20:00:15 +00:00
|
|
|
ReadOptions verify_table_read_options(Env::IOActivity::kCompaction);
|
|
|
|
verify_table_read_options.rate_limiter_priority =
|
|
|
|
GetRateLimiterPriority();
|
2018-06-15 19:28:06 +00:00
|
|
|
InternalIterator* iter = cfd->table_cache()->NewIterator(
|
2023-04-21 16:07:18 +00:00
|
|
|
verify_table_read_options, file_options_,
|
|
|
|
cfd->internal_comparator(), files_output[file_idx]->meta,
|
|
|
|
/*range_del_agg=*/nullptr, prefix_extractor,
|
2019-06-20 21:28:22 +00:00
|
|
|
/*table_reader_ptr=*/nullptr,
|
2018-06-15 19:28:06 +00:00
|
|
|
cfd->internal_stats()->GetFileReadHist(
|
|
|
|
compact_->compaction->output_level()),
|
2019-06-20 21:28:22 +00:00
|
|
|
TableReaderCaller::kCompactionRefill, /*arena=*/nullptr,
|
|
|
|
/*skip_filters=*/false, compact_->compaction->output_level(),
|
2020-06-09 23:49:07 +00:00
|
|
|
MaxFileSizeForL0MetaPin(
|
|
|
|
*compact_->compaction->mutable_cf_options()),
|
2019-06-20 21:28:22 +00:00
|
|
|
/*smallest_compaction_key=*/nullptr,
|
Properly report IO errors when IndexType::kBinarySearchWithFirstKey is used (#6621)
Summary:
Context: Index type `kBinarySearchWithFirstKey` added the ability for sst file iterator to sometimes report a key from index without reading the corresponding data block. This is useful when sst blocks are cut at some meaningful boundaries (e.g. one block per key prefix), and many seeks land between blocks (e.g. for each prefix, the ranges of keys in different sst files are nearly disjoint, so a typical seek needs to read a data block from only one file even if all files have the prefix). But this added a new error condition, which rocksdb code was really not equipped to deal with: `InternalIterator::value()` may fail with an IO error or Status::Incomplete, but it's just a method returning a Slice, with no way to report error instead. Before this PR, this type of error wasn't handled at all (an empty slice was returned), and kBinarySearchWithFirstKey implementation was considered a prototype.
Now that we (LogDevice) have experimented with kBinarySearchWithFirstKey for a while and confirmed that it's really useful, this PR is adding the missing error handling.
It's a pretty inconvenient situation implementation-wise. The error needs to be reported from InternalIterator when trying to access value. But there are ~700 call sites of `InternalIterator::value()`, most of which either can't hit the error condition (because the iterator is reading from memtable or from index or something) or wouldn't benefit from the deferred loading of the value (e.g. compaction iterator that reads all values anyway). Adding error handling to all these call sites would needlessly bloat the code. So instead I made the deferred value loading optional: only the call sites that may use deferred loading have to call the new method `PrepareValue()` before calling `value()`. The feature is enabled with a new bool argument `allow_unprepared_value` to a bunch of methods that create iterators (it wouldn't make sense to put it in ReadOptions because it's completely internal to iterators, with virtually no user-visible effect). Lmk if you have better ideas.
Note that the deferred value loading only happens for *internal* iterators. The user-visible iterator (DBIter) always prepares the value before returning from Seek/Next/etc. We could go further and add an API to defer that value loading too, but that's most likely not useful for LogDevice, so it doesn't seem worth the complexity for now.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6621
Test Plan: make -j5 check . Will also deploy to some logdevice test clusters and look at stats.
Reviewed By: siying
Differential Revision: D20786930
Pulled By: al13n321
fbshipit-source-id: 6da77d918bad3780522e918f17f4d5513d3e99ee
2020-04-16 00:37:23 +00:00
|
|
|
/*largest_compaction_key=*/nullptr,
|
2023-04-25 19:08:23 +00:00
|
|
|
/*allow_unprepared_value=*/false,
|
|
|
|
compact_->compaction->mutable_cf_options()
|
|
|
|
->block_protection_bytes_per_key);
|
2018-06-15 19:28:06 +00:00
|
|
|
auto s = iter->status();
|
|
|
|
|
|
|
|
if (s.ok() && paranoid_file_checks_) {
|
2020-10-01 17:08:52 +00:00
|
|
|
OutputValidator validator(cfd->internal_comparator(),
|
|
|
|
/*_enable_order_check=*/true,
|
|
|
|
/*_enable_hash=*/true);
|
2020-07-22 18:03:29 +00:00
|
|
|
for (iter->SeekToFirst(); iter->Valid(); iter->Next()) {
|
2020-10-01 17:08:52 +00:00
|
|
|
s = validator.Add(iter->key(), iter->value());
|
|
|
|
if (!s.ok()) {
|
|
|
|
break;
|
|
|
|
}
|
2020-07-22 18:03:29 +00:00
|
|
|
}
|
2020-10-01 17:08:52 +00:00
|
|
|
if (s.ok()) {
|
|
|
|
s = iter->status();
|
|
|
|
}
|
|
|
|
if (s.ok() &&
|
|
|
|
!validator.CompareValidator(files_output[file_idx]->validator)) {
|
2020-08-06 21:24:24 +00:00
|
|
|
s = Status::Corruption("Paranoid checksums do not match");
|
2020-07-22 18:03:29 +00:00
|
|
|
}
|
2018-06-15 19:28:06 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
delete iter;
|
|
|
|
|
|
|
|
if (!s.ok()) {
|
|
|
|
output_status = s;
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
};
|
|
|
|
for (size_t i = 1; i < compact_->sub_compact_states.size(); i++) {
|
2022-10-26 19:35:12 +00:00
|
|
|
thread_pool.emplace_back(
|
|
|
|
verify_table, std::ref(compact_->sub_compact_states[i].status));
|
2018-06-15 19:28:06 +00:00
|
|
|
}
|
|
|
|
verify_table(compact_->sub_compact_states[0].status);
|
|
|
|
for (auto& thread : thread_pool) {
|
|
|
|
thread.join();
|
|
|
|
}
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
|
2018-06-15 19:28:06 +00:00
|
|
|
for (const auto& state : compact_->sub_compact_states) {
|
|
|
|
if (!state.status.ok()) {
|
|
|
|
status = state.status;
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
ReleaseSubcompactionResources();
|
|
|
|
TEST_SYNC_POINT("CompactionJob::ReleaseSubcompactionResources:0");
|
|
|
|
TEST_SYNC_POINT("CompactionJob::ReleaseSubcompactionResources:1");
|
|
|
|
|
2015-09-15 16:03:08 +00:00
|
|
|
TablePropertiesCollection tp;
|
|
|
|
for (const auto& state : compact_->sub_compact_states) {
|
2022-07-14 03:54:49 +00:00
|
|
|
for (const auto& output : state.GetOutputs()) {
|
2018-04-13 00:55:14 +00:00
|
|
|
auto fn =
|
2021-06-16 23:50:43 +00:00
|
|
|
TableFileName(state.compaction->immutable_options()->cf_paths,
|
2018-04-13 00:55:14 +00:00
|
|
|
output.meta.fd.GetNumber(), output.meta.fd.GetPathId());
|
2023-07-28 16:47:31 +00:00
|
|
|
compact_->compaction->SetOutputTableProperties(fn,
|
|
|
|
output.table_properties);
|
2015-09-15 16:03:08 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2023-07-28 16:47:31 +00:00
|
|
|
// Finish up all bookkeeping to unify the subcompaction results.
|
2022-07-14 03:54:49 +00:00
|
|
|
compact_->AggregateCompactionStats(compaction_stats_, *compaction_job_stats_);
|
2023-07-28 16:47:31 +00:00
|
|
|
uint64_t num_input_range_del = 0;
|
|
|
|
bool ok = UpdateCompactionStats(&num_input_range_del);
|
|
|
|
// (Sub)compactions returned ok, do sanity check on the number of input keys.
|
|
|
|
if (status.ok() && ok && compaction_job_stats_->has_num_input_records) {
|
|
|
|
size_t ts_sz = compact_->compaction->column_family_data()
|
|
|
|
->user_comparator()
|
|
|
|
->timestamp_size();
|
|
|
|
// When trim_ts_ is non-empty, CompactionIterator takes
|
|
|
|
// HistoryTrimmingIterator as input iterator and sees a trimmed view of
|
|
|
|
// input keys. So the number of keys it processed is not suitable for
|
|
|
|
// verification here.
|
|
|
|
// TODO: support verification when trim_ts_ is non-empty.
|
|
|
|
if (!(ts_sz > 0 && !trim_ts_.empty()) &&
|
|
|
|
db_options_.compaction_verify_record_count) {
|
|
|
|
assert(compaction_stats_.stats.num_input_records > 0);
|
|
|
|
// TODO: verify the number of range deletion entries.
|
|
|
|
uint64_t expected =
|
|
|
|
compaction_stats_.stats.num_input_records - num_input_range_del;
|
|
|
|
uint64_t actual = compaction_job_stats_->num_input_records;
|
|
|
|
if (expected != actual) {
|
|
|
|
std::string msg =
|
|
|
|
"Total number of input records: " + std::to_string(expected) +
|
|
|
|
", but processed " + std::to_string(actual) + " records.";
|
|
|
|
ROCKS_LOG_WARN(
|
|
|
|
db_options_.info_log, "[%s] [JOB %d] Compaction %s",
|
|
|
|
compact_->compaction->column_family_data()->GetName().c_str(),
|
|
|
|
job_context_->job_id, msg.c_str());
|
|
|
|
status = Status::Corruption(
|
|
|
|
"Compaction number of input keys does not match number of keys "
|
|
|
|
"processed.");
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
Parallelize L0-L1 Compaction: Restructure Compaction Job
Summary:
As of now compactions involving files from Level 0 and Level 1 are single
threaded because the files in L0, although sorted, are not range partitioned like
the other levels. This means that during L0-L1 compaction each file from L1
needs to be merged with potentially all the files from L0.
This attempt to parallelize the L0-L1 compaction assigns a thread and a
corresponding iterator to each L1 file that then considers only the key range
found in that L1 file and only the L0 files that have those keys (and only the
specific portion of those L0 files in which those keys are found). In this way
the overlap is minimized and potentially eliminated between different iterators
focusing on the same files.
The first step is to restructure the compaction logic to break L0-L1 compactions
into multiple, smaller, sequential compactions. Eventually each of these smaller
jobs will be run simultaneously. Areas to pay extra attention to are
# Correct aggregation of compaction job statistics across multiple threads
# Proper opening/closing of output files (make sure each thread's is unique)
# Keys that span multiple L1 files
# Skewed distributions of keys within L0 files
Test Plan: Make and run db_test (newer version has separate compaction tests) and compaction_job_stats_test
Reviewers: igor, noetzli, anthony, sdong, yhchiang
Reviewed By: yhchiang
Subscribers: MarkCallaghan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D42699
2015-08-03 18:32:14 +00:00
|
|
|
RecordCompactionIOStats();
|
|
|
|
LogFlush(db_options_.info_log);
|
|
|
|
TEST_SYNC_POINT("CompactionJob::Run():End");
|
2015-08-18 18:06:23 +00:00
|
|
|
compact_->status = status;
|
2023-05-26 00:25:51 +00:00
|
|
|
TEST_SYNC_POINT_CALLBACK("CompactionJob::Run():EndStatusSet", &status);
|
Parallelize L0-L1 Compaction: Restructure Compaction Job
Summary:
As of now compactions involving files from Level 0 and Level 1 are single
threaded because the files in L0, although sorted, are not range partitioned like
the other levels. This means that during L0-L1 compaction each file from L1
needs to be merged with potentially all the files from L0.
This attempt to parallelize the L0-L1 compaction assigns a thread and a
corresponding iterator to each L1 file that then considers only the key range
found in that L1 file and only the L0 files that have those keys (and only the
specific portion of those L0 files in which those keys are found). In this way
the overlap is minimized and potentially eliminated between different iterators
focusing on the same files.
The first step is to restructure the compaction logic to break L0-L1 compactions
into multiple, smaller, sequential compactions. Eventually each of these smaller
jobs will be run simultaneously. Areas to pay extra attention to are
# Correct aggregation of compaction job statistics across multiple threads
# Proper opening/closing of output files (make sure each thread's is unique)
# Keys that span multiple L1 files
# Skewed distributions of keys within L0 files
Test Plan: Make and run db_test (newer version has separate compaction tests) and compaction_job_stats_test
Reviewers: igor, noetzli, anthony, sdong, yhchiang
Reviewed By: yhchiang
Subscribers: MarkCallaghan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D42699
2015-08-03 18:32:14 +00:00
|
|
|
return status;
|
|
|
|
}
|
|
|
|
|
2023-09-18 20:11:53 +00:00
|
|
|
Status CompactionJob::Install(const MutableCFOptions& mutable_cf_options,
|
|
|
|
bool* compaction_released) {
|
2020-10-26 20:50:03 +00:00
|
|
|
assert(compact_);
|
|
|
|
|
2015-03-13 17:45:40 +00:00
|
|
|
AutoThreadOperationStageUpdater stage_updater(
|
|
|
|
ThreadStatus::STAGE_COMPACTION_INSTALL);
|
2016-02-17 23:20:23 +00:00
|
|
|
db_mutex_->AssertHeld();
|
2015-08-18 18:06:23 +00:00
|
|
|
Status status = compact_->status;
|
2020-10-26 20:50:03 +00:00
|
|
|
|
2014-10-31 23:31:25 +00:00
|
|
|
ColumnFamilyData* cfd = compact_->compaction->column_family_data();
|
2020-10-26 20:50:03 +00:00
|
|
|
assert(cfd);
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
int output_level = compact_->compaction->output_level();
|
|
|
|
cfd->internal_stats()->AddCompactionStats(output_level, thread_pri_,
|
|
|
|
compaction_stats_);
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2015-08-18 18:06:23 +00:00
|
|
|
if (status.ok()) {
|
2023-09-18 20:11:53 +00:00
|
|
|
status = InstallCompactionResults(mutable_cf_options, compaction_released);
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
Pass IOStatus to write path and set retryable IO Error as hard error in BG jobs (#6487)
Summary:
In the current code base, we use Status to get and store the returned status from the call. Specifically, for IO related functions, the current Status cannot reflect the IO Error details such as error scope, error retryable attribute, and others. With the implementation of https://github.com/facebook/rocksdb/issues/5761, we have the new Wrapper for IO, which returns IOStatus instead of Status. However, the IOStatus is purged at the lower level of write path and transferred to Status.
The first job of this PR is to pass the IOStatus to the write path (flush, WAL write, and Compaction). The second job is to identify the Retryable IO Error as HardError, and set the bg_error_ as HardError. In this case, the DB Instance becomes read only. User is informed of the Status and need to take actions to deal with it (e.g., call db->Resume()).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6487
Test Plan: Added the testing case to error_handler_fs_test. Pass make asan_check
Reviewed By: anand1976
Differential Revision: D20685017
Pulled By: zhichao-cao
fbshipit-source-id: ff85f042896243abcd6ef37877834e26f36b6eb0
2020-03-27 23:03:05 +00:00
|
|
|
if (!versions_->io_status().ok()) {
|
|
|
|
io_status_ = versions_->io_status();
|
|
|
|
}
|
2020-10-26 20:50:03 +00:00
|
|
|
|
2014-10-31 23:31:25 +00:00
|
|
|
VersionStorageInfo::LevelSummaryStorage tmp;
|
Include bunch of more events into EventLogger
Summary:
Added these events:
* Recovery start, finish and also when recovery creates a file
* Trivial move
* Compaction start, finish and when compaction creates a file
* Flush start, finish
Also includes small fix to EventLogger
Also added option ROCKSDB_PRINT_EVENTS_TO_STDOUT which is useful when we debug things. I've spent far too much time chasing LOG files.
Still didn't get sst table properties in JSON. They are written very deeply into the stack. I'll address in separate diff.
TODO:
* Write specification. Let's first use this for a while and figure out what's good data to put here, too. After that we'll write spec
* Write tools that parse and analyze LOGs. This can be in python or go. Good intern task.
Test Plan: Ran db_bench with ROCKSDB_PRINT_EVENTS_TO_STDOUT. Here's the output: https://phabricator.fb.com/P19811976
Reviewers: sdong, yhchiang, rven, MarkCallaghan, kradhakrishnan, anthony
Reviewed By: anthony
Subscribers: dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D37521
2015-04-27 22:20:02 +00:00
|
|
|
auto vstorage = cfd->current()->storage_info();
|
2022-07-14 03:54:49 +00:00
|
|
|
const auto& stats = compaction_stats_.stats;
|
2016-11-29 00:39:49 +00:00
|
|
|
|
|
|
|
double read_write_amp = 0.0;
|
|
|
|
double write_amp = 0.0;
|
2017-07-24 18:53:03 +00:00
|
|
|
double bytes_read_per_sec = 0;
|
|
|
|
double bytes_written_per_sec = 0;
|
|
|
|
|
2021-03-04 08:42:11 +00:00
|
|
|
const uint64_t bytes_read_non_output_and_blob =
|
|
|
|
stats.bytes_read_non_output_levels + stats.bytes_read_blob;
|
|
|
|
const uint64_t bytes_read_all =
|
|
|
|
stats.bytes_read_output_level + bytes_read_non_output_and_blob;
|
|
|
|
const uint64_t bytes_written_all =
|
|
|
|
stats.bytes_written + stats.bytes_written_blob;
|
|
|
|
|
|
|
|
if (bytes_read_non_output_and_blob > 0) {
|
|
|
|
read_write_amp = (bytes_written_all + bytes_read_all) /
|
|
|
|
static_cast<double>(bytes_read_non_output_and_blob);
|
|
|
|
write_amp =
|
|
|
|
bytes_written_all / static_cast<double>(bytes_read_non_output_and_blob);
|
2016-11-29 00:39:49 +00:00
|
|
|
}
|
2017-07-24 18:53:03 +00:00
|
|
|
if (stats.micros > 0) {
|
2021-03-04 08:42:11 +00:00
|
|
|
bytes_read_per_sec = bytes_read_all / static_cast<double>(stats.micros);
|
|
|
|
bytes_written_per_sec =
|
|
|
|
bytes_written_all / static_cast<double>(stats.micros);
|
2017-07-24 18:53:03 +00:00
|
|
|
}
|
|
|
|
|
2020-10-26 20:50:03 +00:00
|
|
|
const std::string& column_family_name = cfd->GetName();
|
|
|
|
|
2021-03-02 17:46:10 +00:00
|
|
|
constexpr double kMB = 1048576.0;
|
|
|
|
|
2017-03-16 02:22:52 +00:00
|
|
|
ROCKS_LOG_BUFFER(
|
2015-06-18 06:40:34 +00:00
|
|
|
log_buffer_,
|
|
|
|
"[%s] compacted to: %s, MB/sec: %.1f rd, %.1f wr, level %d, "
|
2021-03-02 17:46:10 +00:00
|
|
|
"files in(%d, %d) out(%d +%d blob) "
|
2021-03-04 08:42:11 +00:00
|
|
|
"MB in(%.1f, %.1f +%.1f blob) out(%.1f +%.1f blob), "
|
|
|
|
"read-write-amplify(%.1f) write-amplify(%.1f) %s, records in: %" PRIu64
|
2018-01-09 22:46:30 +00:00
|
|
|
", records dropped: %" PRIu64 " output_compression: %s\n",
|
2020-10-26 20:50:03 +00:00
|
|
|
column_family_name.c_str(), vstorage->LevelSummary(&tmp),
|
|
|
|
bytes_read_per_sec, bytes_written_per_sec,
|
|
|
|
compact_->compaction->output_level(),
|
2015-06-18 06:40:34 +00:00
|
|
|
stats.num_input_files_in_non_output_levels,
|
2016-11-29 00:39:49 +00:00
|
|
|
stats.num_input_files_in_output_level, stats.num_output_files,
|
2021-03-02 17:46:10 +00:00
|
|
|
stats.num_output_files_blob, stats.bytes_read_non_output_levels / kMB,
|
2021-03-04 08:42:11 +00:00
|
|
|
stats.bytes_read_output_level / kMB, stats.bytes_read_blob / kMB,
|
|
|
|
stats.bytes_written / kMB, stats.bytes_written_blob / kMB, read_write_amp,
|
|
|
|
write_amp, status.ToString().c_str(), stats.num_input_records,
|
2017-12-14 18:18:01 +00:00
|
|
|
stats.num_dropped_records,
|
|
|
|
CompressionTypeToString(compact_->compaction->output_compression())
|
|
|
|
.c_str());
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2020-10-26 20:50:03 +00:00
|
|
|
const auto& blob_files = vstorage->GetBlobFiles();
|
|
|
|
if (!blob_files.empty()) {
|
Use a sorted vector instead of a map to store blob file metadata (#9526)
Summary:
The patch replaces `std::map` with a sorted `std::vector` for
`VersionStorageInfo::blob_files_` and preallocates the space
for the `vector` before saving the `BlobFileMetaData` into the
new `VersionStorageInfo` in `VersionBuilder::Rep::SaveBlobFilesTo`.
These changes reduce the time the DB mutex is held while
saving new `Version`s, and using a sorted `vector` also makes
lookups faster thanks to better memory locality.
In addition, the patch introduces helper methods
`VersionStorageInfo::GetBlobFileMetaData` and
`VersionStorageInfo::GetBlobFileMetaDataLB` that can be used by
clients to perform lookups in the `vector`, and does some general
cleanup in the parts of code where blob file metadata are used.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9526
Test Plan:
Ran `make check` and the crash test script for a while.
Performance was tested using a load-optimized benchmark (`fillseq` with vector memtable, no WAL) and small file sizes so that a significant number of files are produced:
```
numactl --interleave=all ./db_bench --benchmarks=fillseq --allow_concurrent_memtable_write=false --level0_file_num_compaction_trigger=4 --level0_slowdown_writes_trigger=20 --level0_stop_writes_trigger=30 --max_background_jobs=8 --max_write_buffer_number=8 --db=/data/ltamasi-dbbench --wal_dir=/data/ltamasi-dbbench --num=800000000 --num_levels=8 --key_size=20 --value_size=400 --block_size=8192 --cache_size=51539607552 --cache_numshardbits=6 --compression_max_dict_bytes=0 --compression_ratio=0.5 --compression_type=lz4 --bytes_per_sync=8388608 --cache_index_and_filter_blocks=1 --cache_high_pri_pool_ratio=0.5 --benchmark_write_rate_limit=0 --write_buffer_size=16777216 --target_file_size_base=16777216 --max_bytes_for_level_base=67108864 --verify_checksum=1 --delete_obsolete_files_period_micros=62914560 --max_bytes_for_level_multiplier=8 --statistics=0 --stats_per_interval=1 --stats_interval_seconds=20 --histogram=1 --memtablerep=skip_list --bloom_bits=10 --open_files=-1 --subcompactions=1 --compaction_style=0 --min_level_to_compress=3 --level_compaction_dynamic_level_bytes=true --pin_l0_filter_and_index_blocks_in_cache=1 --soft_pending_compaction_bytes_limit=167503724544 --hard_pending_compaction_bytes_limit=335007449088 --min_level_to_compress=0 --use_existing_db=0 --sync=0 --threads=1 --memtablerep=vector --allow_concurrent_memtable_write=false --disable_wal=1 --enable_blob_files=1 --blob_file_size=16777216 --min_blob_size=0 --blob_compression_type=lz4 --enable_blob_garbage_collection=1 --seed=<some value>
```
Final statistics before the patch:
```
Cumulative writes: 0 writes, 700M keys, 0 commit groups, 0.0 writes per commit group, ingest: 284.62 GB, 121.27 MB/s
Interval writes: 0 writes, 334K keys, 0 commit groups, 0.0 writes per commit group, ingest: 139.28 MB, 72.46 MB/s
```
With the patch:
```
Cumulative writes: 0 writes, 760M keys, 0 commit groups, 0.0 writes per commit group, ingest: 308.66 GB, 131.52 MB/s
Interval writes: 0 writes, 445K keys, 0 commit groups, 0.0 writes per commit group, ingest: 185.35 MB, 93.15 MB/s
```
Total time to complete the benchmark is 2611 seconds with the patch, down from 2986 secs.
Reviewed By: riversand963
Differential Revision: D34082728
Pulled By: ltamasi
fbshipit-source-id: fc598abf676dce436734d06bb9d2d99a26a004fc
2022-02-09 20:35:39 +00:00
|
|
|
assert(blob_files.front());
|
|
|
|
assert(blob_files.back());
|
|
|
|
|
|
|
|
ROCKS_LOG_BUFFER(
|
|
|
|
log_buffer_,
|
|
|
|
"[%s] Blob file summary: head=%" PRIu64 ", tail=%" PRIu64 "\n",
|
|
|
|
column_family_name.c_str(), blob_files.front()->GetBlobFileNumber(),
|
|
|
|
blob_files.back()->GetBlobFileNumber());
|
2020-10-26 20:50:03 +00:00
|
|
|
}
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
if (compaction_stats_.has_penultimate_level_output) {
|
|
|
|
ROCKS_LOG_BUFFER(
|
|
|
|
log_buffer_,
|
|
|
|
"[%s] has Penultimate Level output: %" PRIu64
|
|
|
|
", level %d, number of files: %" PRIu64 ", number of records: %" PRIu64,
|
|
|
|
column_family_name.c_str(),
|
|
|
|
compaction_stats_.penultimate_level_stats.bytes_written,
|
|
|
|
compact_->compaction->GetPenultimateLevel(),
|
|
|
|
compaction_stats_.penultimate_level_stats.num_output_files,
|
|
|
|
compaction_stats_.penultimate_level_stats.num_output_records);
|
|
|
|
}
|
|
|
|
|
2015-06-03 00:07:16 +00:00
|
|
|
UpdateCompactionJobStats(stats);
|
|
|
|
|
2021-07-23 18:38:18 +00:00
|
|
|
auto stream = event_logger_->LogToBuffer(log_buffer_, 8192);
|
2017-12-14 18:18:01 +00:00
|
|
|
stream << "job" << job_id_ << "event"
|
|
|
|
<< "compaction_finished"
|
2020-01-23 23:25:23 +00:00
|
|
|
<< "compaction_time_micros" << stats.micros
|
|
|
|
<< "compaction_time_cpu_micros" << stats.cpu_micros << "output_level"
|
|
|
|
<< compact_->compaction->output_level() << "num_output_files"
|
2022-07-14 03:54:49 +00:00
|
|
|
<< stats.num_output_files << "total_output_size"
|
|
|
|
<< stats.bytes_written;
|
2020-10-26 20:50:03 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
if (stats.num_output_files_blob > 0) {
|
|
|
|
stream << "num_blob_output_files" << stats.num_output_files_blob
|
|
|
|
<< "total_blob_output_size" << stats.bytes_written_blob;
|
2020-10-26 20:50:03 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
stream << "num_input_records" << stats.num_input_records
|
2022-07-14 03:54:49 +00:00
|
|
|
<< "num_output_records" << stats.num_output_records
|
2020-10-26 20:50:03 +00:00
|
|
|
<< "num_subcompactions" << compact_->sub_compact_states.size()
|
|
|
|
<< "output_compression"
|
2017-12-14 18:18:01 +00:00
|
|
|
<< CompressionTypeToString(compact_->compaction->output_compression());
|
Add options.compaction_measure_io_stats to print write I/O stats in compactions
Summary:
Add options.compaction_measure_io_stats to print out / pass to listener accumulated time spent on write calls. Example outputs in info logs:
2015/08/12-16:27:59.463944 7fd428bff700 (Original Log Time 2015/08/12-16:27:59.463922) EVENT_LOG_v1 {"time_micros": 1439422079463897, "job": 6, "event": "compaction_finished", "output_level": 1, "num_output_files": 4, "total_output_size": 6900525, "num_input_records": 111483, "num_output_records": 106877, "file_write_nanos": 15663206, "file_range_sync_nanos": 649588, "file_fsync_nanos": 349614797, "file_prepare_write_nanos": 1505812, "lsm_state": [2, 4, 0, 0, 0, 0, 0]}
Add two more counters in iostats_context.
Also add a parameter of db_bench.
Test Plan: Add a unit test. Also manually verify LOG outputs in db_bench
Subscribers: leveldb, dhruba
Differential Revision: https://reviews.facebook.net/D44115
2015-08-13 00:24:45 +00:00
|
|
|
|
2020-10-01 19:51:33 +00:00
|
|
|
stream << "num_single_delete_mismatches"
|
|
|
|
<< compaction_job_stats_->num_single_del_mismatch;
|
|
|
|
stream << "num_single_delete_fallthrough"
|
|
|
|
<< compaction_job_stats_->num_single_del_fallthru;
|
2016-08-16 15:21:43 +00:00
|
|
|
|
2020-10-01 19:51:33 +00:00
|
|
|
if (measure_io_stats_) {
|
Add options.compaction_measure_io_stats to print write I/O stats in compactions
Summary:
Add options.compaction_measure_io_stats to print out / pass to listener accumulated time spent on write calls. Example outputs in info logs:
2015/08/12-16:27:59.463944 7fd428bff700 (Original Log Time 2015/08/12-16:27:59.463922) EVENT_LOG_v1 {"time_micros": 1439422079463897, "job": 6, "event": "compaction_finished", "output_level": 1, "num_output_files": 4, "total_output_size": 6900525, "num_input_records": 111483, "num_output_records": 106877, "file_write_nanos": 15663206, "file_range_sync_nanos": 649588, "file_fsync_nanos": 349614797, "file_prepare_write_nanos": 1505812, "lsm_state": [2, 4, 0, 0, 0, 0, 0]}
Add two more counters in iostats_context.
Also add a parameter of db_bench.
Test Plan: Add a unit test. Also manually verify LOG outputs in db_bench
Subscribers: leveldb, dhruba
Differential Revision: https://reviews.facebook.net/D44115
2015-08-13 00:24:45 +00:00
|
|
|
stream << "file_write_nanos" << compaction_job_stats_->file_write_nanos;
|
|
|
|
stream << "file_range_sync_nanos"
|
|
|
|
<< compaction_job_stats_->file_range_sync_nanos;
|
|
|
|
stream << "file_fsync_nanos" << compaction_job_stats_->file_fsync_nanos;
|
|
|
|
stream << "file_prepare_write_nanos"
|
|
|
|
<< compaction_job_stats_->file_prepare_write_nanos;
|
|
|
|
}
|
|
|
|
|
Include bunch of more events into EventLogger
Summary:
Added these events:
* Recovery start, finish and also when recovery creates a file
* Trivial move
* Compaction start, finish and when compaction creates a file
* Flush start, finish
Also includes small fix to EventLogger
Also added option ROCKSDB_PRINT_EVENTS_TO_STDOUT which is useful when we debug things. I've spent far too much time chasing LOG files.
Still didn't get sst table properties in JSON. They are written very deeply into the stack. I'll address in separate diff.
TODO:
* Write specification. Let's first use this for a while and figure out what's good data to put here, too. After that we'll write spec
* Write tools that parse and analyze LOGs. This can be in python or go. Good intern task.
Test Plan: Ran db_bench with ROCKSDB_PRINT_EVENTS_TO_STDOUT. Here's the output: https://phabricator.fb.com/P19811976
Reviewers: sdong, yhchiang, rven, MarkCallaghan, kradhakrishnan, anthony
Reviewed By: anthony
Subscribers: dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D37521
2015-04-27 22:20:02 +00:00
|
|
|
stream << "lsm_state";
|
|
|
|
stream.StartArray();
|
|
|
|
for (int level = 0; level < vstorage->num_levels(); ++level) {
|
|
|
|
stream << vstorage->NumLevelFiles(level);
|
|
|
|
}
|
|
|
|
stream.EndArray();
|
|
|
|
|
2020-10-26 20:50:03 +00:00
|
|
|
if (!blob_files.empty()) {
|
Use a sorted vector instead of a map to store blob file metadata (#9526)
Summary:
The patch replaces `std::map` with a sorted `std::vector` for
`VersionStorageInfo::blob_files_` and preallocates the space
for the `vector` before saving the `BlobFileMetaData` into the
new `VersionStorageInfo` in `VersionBuilder::Rep::SaveBlobFilesTo`.
These changes reduce the time the DB mutex is held while
saving new `Version`s, and using a sorted `vector` also makes
lookups faster thanks to better memory locality.
In addition, the patch introduces helper methods
`VersionStorageInfo::GetBlobFileMetaData` and
`VersionStorageInfo::GetBlobFileMetaDataLB` that can be used by
clients to perform lookups in the `vector`, and does some general
cleanup in the parts of code where blob file metadata are used.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9526
Test Plan:
Ran `make check` and the crash test script for a while.
Performance was tested using a load-optimized benchmark (`fillseq` with vector memtable, no WAL) and small file sizes so that a significant number of files are produced:
```
numactl --interleave=all ./db_bench --benchmarks=fillseq --allow_concurrent_memtable_write=false --level0_file_num_compaction_trigger=4 --level0_slowdown_writes_trigger=20 --level0_stop_writes_trigger=30 --max_background_jobs=8 --max_write_buffer_number=8 --db=/data/ltamasi-dbbench --wal_dir=/data/ltamasi-dbbench --num=800000000 --num_levels=8 --key_size=20 --value_size=400 --block_size=8192 --cache_size=51539607552 --cache_numshardbits=6 --compression_max_dict_bytes=0 --compression_ratio=0.5 --compression_type=lz4 --bytes_per_sync=8388608 --cache_index_and_filter_blocks=1 --cache_high_pri_pool_ratio=0.5 --benchmark_write_rate_limit=0 --write_buffer_size=16777216 --target_file_size_base=16777216 --max_bytes_for_level_base=67108864 --verify_checksum=1 --delete_obsolete_files_period_micros=62914560 --max_bytes_for_level_multiplier=8 --statistics=0 --stats_per_interval=1 --stats_interval_seconds=20 --histogram=1 --memtablerep=skip_list --bloom_bits=10 --open_files=-1 --subcompactions=1 --compaction_style=0 --min_level_to_compress=3 --level_compaction_dynamic_level_bytes=true --pin_l0_filter_and_index_blocks_in_cache=1 --soft_pending_compaction_bytes_limit=167503724544 --hard_pending_compaction_bytes_limit=335007449088 --min_level_to_compress=0 --use_existing_db=0 --sync=0 --threads=1 --memtablerep=vector --allow_concurrent_memtable_write=false --disable_wal=1 --enable_blob_files=1 --blob_file_size=16777216 --min_blob_size=0 --blob_compression_type=lz4 --enable_blob_garbage_collection=1 --seed=<some value>
```
Final statistics before the patch:
```
Cumulative writes: 0 writes, 700M keys, 0 commit groups, 0.0 writes per commit group, ingest: 284.62 GB, 121.27 MB/s
Interval writes: 0 writes, 334K keys, 0 commit groups, 0.0 writes per commit group, ingest: 139.28 MB, 72.46 MB/s
```
With the patch:
```
Cumulative writes: 0 writes, 760M keys, 0 commit groups, 0.0 writes per commit group, ingest: 308.66 GB, 131.52 MB/s
Interval writes: 0 writes, 445K keys, 0 commit groups, 0.0 writes per commit group, ingest: 185.35 MB, 93.15 MB/s
```
Total time to complete the benchmark is 2611 seconds with the patch, down from 2986 secs.
Reviewed By: riversand963
Differential Revision: D34082728
Pulled By: ltamasi
fbshipit-source-id: fc598abf676dce436734d06bb9d2d99a26a004fc
2022-02-09 20:35:39 +00:00
|
|
|
assert(blob_files.front());
|
|
|
|
stream << "blob_file_head" << blob_files.front()->GetBlobFileNumber();
|
|
|
|
|
|
|
|
assert(blob_files.back());
|
|
|
|
stream << "blob_file_tail" << blob_files.back()->GetBlobFileNumber();
|
2020-10-26 20:50:03 +00:00
|
|
|
}
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
if (compaction_stats_.has_penultimate_level_output) {
|
|
|
|
InternalStats::CompactionStats& pl_stats =
|
|
|
|
compaction_stats_.penultimate_level_stats;
|
|
|
|
stream << "penultimate_level_num_output_files" << pl_stats.num_output_files;
|
|
|
|
stream << "penultimate_level_bytes_written" << pl_stats.bytes_written;
|
|
|
|
stream << "penultimate_level_num_output_records"
|
|
|
|
<< pl_stats.num_output_records;
|
|
|
|
stream << "penultimate_level_num_output_files_blob"
|
|
|
|
<< pl_stats.num_output_files_blob;
|
|
|
|
stream << "penultimate_level_bytes_written_blob"
|
|
|
|
<< pl_stats.bytes_written_blob;
|
2021-09-18 06:24:03 +00:00
|
|
|
}
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
CleanupCompaction();
|
|
|
|
return status;
|
2022-02-17 23:46:16 +00:00
|
|
|
}
|
2021-05-20 04:40:43 +00:00
|
|
|
|
2022-02-17 23:46:16 +00:00
|
|
|
void CompactionJob::NotifyOnSubcompactionBegin(
|
|
|
|
SubcompactionState* sub_compact) {
|
|
|
|
Compaction* c = compact_->compaction;
|
|
|
|
|
|
|
|
if (db_options_.listeners.empty()) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
if (shutting_down_->load(std::memory_order_acquire)) {
|
|
|
|
return;
|
|
|
|
}
|
2022-06-07 01:32:26 +00:00
|
|
|
if (c->is_manual_compaction() &&
|
|
|
|
manual_compaction_canceled_.load(std::memory_order_acquire)) {
|
2022-02-17 23:46:16 +00:00
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
sub_compact->notify_on_subcompaction_completion = true;
|
|
|
|
|
|
|
|
SubcompactionJobInfo info{};
|
2022-07-14 03:54:49 +00:00
|
|
|
sub_compact->BuildSubcompactionJobInfo(info);
|
|
|
|
info.job_id = static_cast<int>(job_id_);
|
|
|
|
info.thread_id = env_->GetThreadID();
|
2022-02-17 23:46:16 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
for (const auto& listener : db_options_.listeners) {
|
2022-02-17 23:46:16 +00:00
|
|
|
listener->OnSubcompactionBegin(info);
|
|
|
|
}
|
|
|
|
info.status.PermitUncheckedError();
|
|
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
void CompactionJob::NotifyOnSubcompactionCompleted(
|
|
|
|
SubcompactionState* sub_compact) {
|
|
|
|
|
|
|
|
if (db_options_.listeners.empty()) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
if (shutting_down_->load(std::memory_order_acquire)) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (sub_compact->notify_on_subcompaction_completion == false) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
SubcompactionJobInfo info{};
|
2022-07-14 03:54:49 +00:00
|
|
|
sub_compact->BuildSubcompactionJobInfo(info);
|
|
|
|
info.job_id = static_cast<int>(job_id_);
|
|
|
|
info.thread_id = env_->GetThreadID();
|
2022-02-17 23:46:16 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
for (const auto& listener : db_options_.listeners) {
|
2022-02-17 23:46:16 +00:00
|
|
|
listener->OnSubcompactionCompleted(info);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
void CompactionJob::ProcessKeyValueCompaction(SubcompactionState* sub_compact) {
|
2020-10-26 20:50:03 +00:00
|
|
|
assert(sub_compact);
|
|
|
|
assert(sub_compact->compaction);
|
2021-05-20 04:40:43 +00:00
|
|
|
if (db_options_.compaction_service) {
|
2021-09-18 06:24:03 +00:00
|
|
|
CompactionServiceJobStatus comp_status =
|
|
|
|
ProcessKeyValueCompactionWithCompactionService(sub_compact);
|
|
|
|
if (comp_status == CompactionServiceJobStatus::kSuccess ||
|
|
|
|
comp_status == CompactionServiceJobStatus::kFailure) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
// fallback to local compaction
|
|
|
|
assert(comp_status == CompactionServiceJobStatus::kUseLocal);
|
2021-05-20 04:40:43 +00:00
|
|
|
}
|
|
|
|
|
2022-03-21 23:11:02 +00:00
|
|
|
uint64_t prev_cpu_micros = db_options_.clock->CPUMicros();
|
2019-01-30 00:23:21 +00:00
|
|
|
|
Compaction Support for Range Deletion
Summary:
This diff introduces RangeDelAggregator, which takes ownership of iterators
provided to it via AddTombstones(). The tombstones are organized in a two-level
map (snapshot stripe -> begin key -> tombstone). Tombstone creation avoids data
copy by holding Slices returned by the iterator, which remain valid thanks to pinning.
For compaction, we create a hierarchical range tombstone iterator with structure
matching the iterator over compaction input data. An aggregator based on that
iterator is used by CompactionIterator to determine which keys are covered by
range tombstones. In case of merge operand, the same aggregator is used by
MergeHelper. Upon finishing each file in the compaction, relevant range tombstones
are added to the output file's range tombstone metablock and file boundaries are
updated accordingly.
To check whether a key is covered by range tombstone, RangeDelAggregator::ShouldDelete()
considers tombstones in the key's snapshot stripe. When this function is used outside of
compaction, it also checks newer stripes, which can contain covering tombstones. Currently
the intra-stripe check involves a linear scan; however, in the future we plan to collapse ranges
within a stripe such that binary search can be used.
RangeDelAggregator::AddToBuilder() adds all range tombstones in the table's key-range
to a new table's range tombstone meta-block. Since range tombstones may fall in the gap
between files, we may need to extend some files' key-ranges. The strategy is (1) first file
extends as far left as possible and other files do not extend left, (2) all files extend right
until either the start of the next file or the end of the last range tombstone in the gap,
whichever comes first.
One other notable change is adding release/move semantics to ScopedArenaIterator
such that it can be used to transfer ownership of an arena-allocated iterator, similar to
how unique_ptr is used for malloc'd data.
Depends on D61473
Test Plan: compaction_iterator_test, mock_table, end-to-end tests in D63927
Reviewers: sdong, IslamAbdelRahman, wanning, yhchiang, lightmark
Reviewed By: lightmark
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D62205
2016-10-18 19:04:56 +00:00
|
|
|
ColumnFamilyData* cfd = sub_compact->compaction->column_family_data();
|
2019-02-08 00:16:48 +00:00
|
|
|
|
|
|
|
// Create compaction filter and fail the compaction if
|
|
|
|
// IgnoreSnapshots() = false because it is not supported anymore
|
|
|
|
const CompactionFilter* compaction_filter =
|
|
|
|
cfd->ioptions()->compaction_filter;
|
|
|
|
std::unique_ptr<CompactionFilter> compaction_filter_from_factory = nullptr;
|
|
|
|
if (compaction_filter == nullptr) {
|
|
|
|
compaction_filter_from_factory =
|
|
|
|
sub_compact->compaction->CreateCompactionFilter();
|
|
|
|
compaction_filter = compaction_filter_from_factory.get();
|
|
|
|
}
|
|
|
|
if (compaction_filter != nullptr && !compaction_filter->IgnoreSnapshots()) {
|
|
|
|
sub_compact->status = Status::NotSupported(
|
|
|
|
"CompactionFilter::IgnoreSnapshots() = false is not supported "
|
|
|
|
"anymore.");
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
2022-02-17 23:46:16 +00:00
|
|
|
NotifyOnSubcompactionBegin(sub_compact);
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
auto range_del_agg = std::make_unique<CompactionRangeDelAggregator>(
|
2022-09-30 23:13:03 +00:00
|
|
|
&cfd->internal_comparator(), existing_snapshots_, &full_history_ts_low_,
|
|
|
|
&trim_ts_);
|
2021-06-09 22:40:16 +00:00
|
|
|
|
2022-04-07 01:19:19 +00:00
|
|
|
// TODO: since we already use C++17, should use
|
|
|
|
// std::optional<const Slice> instead.
|
2022-07-24 00:38:49 +00:00
|
|
|
const std::optional<Slice> start = sub_compact->start;
|
|
|
|
const std::optional<Slice> end = sub_compact->end;
|
2021-06-09 22:40:16 +00:00
|
|
|
|
2022-07-31 18:39:16 +00:00
|
|
|
std::optional<Slice> start_without_ts;
|
|
|
|
std::optional<Slice> end_without_ts;
|
|
|
|
|
2020-08-03 22:21:56 +00:00
|
|
|
ReadOptions read_options;
|
|
|
|
read_options.verify_checksums = true;
|
|
|
|
read_options.fill_cache = false;
|
Set Read rate limiter priority dynamically and pass it to FS (#9996)
Summary:
### Context:
Background compactions and flush generate large reads and writes, and can be long running, especially for universal compaction. In some cases, this can impact foreground reads and writes by users.
### Solution
User, Flush, and Compaction reads share some code path. For this task, we update the rate_limiter_priority in ReadOptions for code paths (e.g. FindTable (mainly in BlockBasedTable::Open()) and various iterators), and eventually update the rate_limiter_priority in IOOptions for FSRandomAccessFile.
**This PR is for the Read path.** The **Read:** dynamic priority for different state are listed as follows:
| State | Normal | Delayed | Stalled |
| ----- | ------ | ------- | ------- |
| Flush (verification read in BuildTable()) | IO_USER | IO_USER | IO_USER |
| Compaction | IO_LOW | IO_USER | IO_USER |
| User | User provided | User provided | User provided |
We will respect the read_options that the user provided and will not set it.
The only sst read for Flush is the verification read in BuildTable(). It claims to be "regard as user read".
**Details**
1. Set read_options.rate_limiter_priority dynamically:
- User: Do not update the read_options. Use the read_options that the user provided.
- Compaction: Update read_options in CompactionJob::ProcessKeyValueCompaction().
- Flush: Update read_options in BuildTable().
2. Pass the rate limiter priority to FSRandomAccessFile functions:
- After calling the FindTable(), read_options is passed through GetTableReader(table_cache.cc), BlockBasedTableFactory::NewTableReader(block_based_table_factory.cc), and BlockBasedTable::Open(). The Open() needs some updates for the ReadOptions variable and the updates are also needed for the called functions, including PrefetchTail(), PrepareIOOptions(), ReadFooterFromFile(), ReadMetaIndexblock(), ReadPropertiesBlock(), PrefetchIndexAndFilterBlocks(), and ReadRangeDelBlock().
- In RandomAccessFileReader, the functions to be updated include Read(), MultiRead(), ReadAsync(), and Prefetch().
- Update the downstream functions of NewIndexIterator(), NewDataBlockIterator(), and BlockBasedTableIterator().
### Test Plans
Add unit tests.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9996
Reviewed By: anand1976
Differential Revision: D36452483
Pulled By: gitbw95
fbshipit-source-id: 60978204a4f849bb9261cb78d9bc1cb56d6008cf
2022-05-19 02:41:44 +00:00
|
|
|
read_options.rate_limiter_priority = GetRateLimiterPriority();
|
2023-04-21 16:07:18 +00:00
|
|
|
read_options.io_activity = Env::IOActivity::kCompaction;
|
2020-08-03 22:21:56 +00:00
|
|
|
// Compaction iterators shouldn't be confined to a single prefix.
|
|
|
|
// Compactions use Seek() for
|
|
|
|
// (a) concurrent compactions,
|
|
|
|
// (b) CompactionFilter::Decision::kRemoveAndSkipUntil.
|
|
|
|
read_options.total_order_seek = true;
|
2021-06-12 19:08:30 +00:00
|
|
|
|
Group SST write in flush, compaction and db open with new stats (#11910)
Summary:
## Context/Summary
Similar to https://github.com/facebook/rocksdb/pull/11288, https://github.com/facebook/rocksdb/pull/11444, categorizing SST/blob file write according to different io activities allows more insight into the activity.
For that, this PR does the following:
- Tag different write IOs by passing down and converting WriteOptions to IOOptions
- Add new SST_WRITE_MICROS histogram in WritableFileWriter::Append() and breakdown FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS
Some related code refactory to make implementation cleaner:
- Blob stats
- Replace high-level write measurement with low-level WritableFileWriter::Append() measurement for BLOB_DB_BLOB_FILE_WRITE_MICROS. This is to make FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS include blob file. As a consequence, this introduces some behavioral changes on it, see HISTORY and db bench test plan below for more info.
- Fix bugs where BLOB_DB_BLOB_FILE_SYNCED/BLOB_DB_BLOB_FILE_BYTES_WRITTEN include file failed to sync and bytes failed to write.
- Refactor WriteOptions constructor for easier construction with io_activity and rate_limiter_priority
- Refactor DBImpl::~DBImpl()/BlobDBImpl::Close() to bypass thread op verification
- Build table
- TableBuilderOptions now includes Read/WriteOpitons so BuildTable() do not need to take these two variables
- Replace the io_priority passed into BuildTable() with TableBuilderOptions::WriteOpitons::rate_limiter_priority. Similar for BlobFileBuilder.
This parameter is used for dynamically changing file io priority for flush, see https://github.com/facebook/rocksdb/pull/9988?fbclid=IwAR1DtKel6c-bRJAdesGo0jsbztRtciByNlvokbxkV6h_L-AE9MACzqRTT5s for more
- Update ThreadStatus::FLUSH_BYTES_WRITTEN to use io_activity to track flush IO in flush job and db open instead of io_priority
## Test
### db bench
Flush
```
./db_bench --statistics=1 --benchmarks=fillseq --num=100000 --write_buffer_size=100
rocksdb.sst.write.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.flush.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.db.open.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
```
compaction, db oopen
```
Setup: ./db_bench --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
rocksdb.sst.write.micros P50 : 2.675325 P95 : 9.578788 P99 : 18.780000 P100 : 314.000000 COUNT : 638 SUM : 3279
rocksdb.file.write.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.compaction.micros P50 : 2.757353 P95 : 9.610687 P99 : 19.316667 P100 : 314.000000 COUNT : 615 SUM : 3213
rocksdb.file.write.db.open.micros P50 : 2.055556 P95 : 3.925000 P99 : 9.000000 P100 : 9.000000 COUNT : 23 SUM : 66
```
blob stats - just to make sure they aren't broken by this PR
```
Integrated Blob DB
Setup: ./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 7.298246 P95 : 9.771930 P99 : 9.991813 P100 : 16.000000 COUNT : 235 SUM : 1600
rocksdb.blobdb.blob.file.synced COUNT : 1
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 2.000000 P95 : 2.829360 P99 : 2.993779 P100 : 9.000000 COUNT : 707 SUM : 1614
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 1 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 (stay the same)
```
```
Stacked Blob DB
Run: ./db_bench --use_blob_db=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 12.808042 P95 : 19.674497 P99 : 28.539683 P100 : 51.000000 COUNT : 10000 SUM : 140876
rocksdb.blobdb.blob.file.synced COUNT : 8
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 1.657370 P95 : 2.952175 P99 : 3.877519 P100 : 24.000000 COUNT : 30001 SUM : 67924
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 8 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 (stay the same)
```
### Rehearsal CI stress test
Trigger 3 full runs of all our CI stress tests
### Performance
Flush
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=ManualFlush/key_num:524288/per_key_size:256 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark; enable_statistics = true
Pre-pr: avg 507515519.3 ns
497686074,499444327,500862543,501389862,502994471,503744435,504142123,504224056,505724198,506610393,506837742,506955122,507695561,507929036,508307733,508312691,508999120,509963561,510142147,510698091,510743096,510769317,510957074,511053311,511371367,511409911,511432960,511642385,511691964,511730908,
Post-pr: avg 511971266.5 ns, regressed 0.88%
502744835,506502498,507735420,507929724,508313335,509548582,509994942,510107257,510715603,511046955,511352639,511458478,512117521,512317380,512766303,512972652,513059586,513804934,513808980,514059409,514187369,514389494,514447762,514616464,514622882,514641763,514666265,514716377,514990179,515502408,
```
Compaction
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_{pre|post}_pr --benchmark_filter=ManualCompaction/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 495346098.30 ns
492118301,493203526,494201411,494336607,495269217,495404950,496402598,497012157,497358370,498153846
Post-pr: avg 504528077.20, regressed 1.85%. "ManualCompaction" include flush so the isolated regression for compaction should be around 1.85-0.88 = 0.97%
502465338,502485945,502541789,502909283,503438601,504143885,506113087,506629423,507160414,507393007
```
Put with WAL (in case passing WriteOptions slows down this path even without collecting SST write stats)
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=DBPut/comp_style:0/max_data:107374182400/per_key_size:256/enable_statistics:1/wal:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 3848.10 ns
3814,3838,3839,3848,3854,3854,3854,3860,3860,3860
Post-pr: avg 3874.20 ns, regressed 0.68%
3863,3867,3871,3874,3875,3877,3877,3877,3880,3881
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11910
Reviewed By: ajkr
Differential Revision: D49788060
Pulled By: hx235
fbshipit-source-id: 79e73699cda5be3b66461687e5147c2484fc5eff
2023-12-29 23:29:23 +00:00
|
|
|
const WriteOptions write_options(Env::IOPriority::IO_LOW,
|
|
|
|
Env::IOActivity::kCompaction);
|
|
|
|
|
2022-07-31 18:39:16 +00:00
|
|
|
// Remove the timestamps from boundaries because boundaries created in
|
|
|
|
// GenSubcompactionBoundaries doesn't strip away the timestamp.
|
|
|
|
size_t ts_sz = cfd->user_comparator()->timestamp_size();
|
2022-07-24 00:38:49 +00:00
|
|
|
if (start.has_value()) {
|
2023-07-10 21:21:34 +00:00
|
|
|
read_options.iterate_lower_bound = &(*start);
|
2022-07-31 18:39:16 +00:00
|
|
|
if (ts_sz > 0) {
|
2023-07-10 21:21:34 +00:00
|
|
|
start_without_ts = StripTimestampFromUserKey(*start, ts_sz);
|
|
|
|
read_options.iterate_lower_bound = &(*start_without_ts);
|
2022-07-31 18:39:16 +00:00
|
|
|
}
|
2022-07-24 00:38:49 +00:00
|
|
|
}
|
|
|
|
if (end.has_value()) {
|
2023-07-10 21:21:34 +00:00
|
|
|
read_options.iterate_upper_bound = &(*end);
|
2022-07-31 18:39:16 +00:00
|
|
|
if (ts_sz > 0) {
|
2023-07-10 21:21:34 +00:00
|
|
|
end_without_ts = StripTimestampFromUserKey(*end, ts_sz);
|
|
|
|
read_options.iterate_upper_bound = &(*end_without_ts);
|
2022-07-31 18:39:16 +00:00
|
|
|
}
|
2022-07-24 00:38:49 +00:00
|
|
|
}
|
2018-11-21 18:53:44 +00:00
|
|
|
|
|
|
|
// Although the v2 aggregator is what the level iterator(s) know about,
|
|
|
|
// the AddTombstones calls will be propagated down to the v1 aggregator.
|
2022-04-07 01:19:19 +00:00
|
|
|
std::unique_ptr<InternalIterator> raw_input(versions_->MakeInputIterator(
|
2022-07-14 03:54:49 +00:00
|
|
|
read_options, sub_compact->compaction, range_del_agg.get(),
|
2022-07-24 00:38:49 +00:00
|
|
|
file_options_for_read_, start, end));
|
2021-06-09 22:40:16 +00:00
|
|
|
InternalIterator* input = raw_input.get();
|
|
|
|
|
|
|
|
IterKey start_ikey;
|
|
|
|
IterKey end_ikey;
|
|
|
|
Slice start_slice;
|
|
|
|
Slice end_slice;
|
2023-02-22 20:28:18 +00:00
|
|
|
Slice start_user_key{};
|
|
|
|
Slice end_user_key{};
|
2021-06-09 22:40:16 +00:00
|
|
|
|
2022-09-15 04:59:56 +00:00
|
|
|
static constexpr char kMaxTs[] =
|
|
|
|
"\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff";
|
|
|
|
Slice ts_slice;
|
|
|
|
std::string max_ts;
|
|
|
|
if (ts_sz > 0) {
|
|
|
|
if (ts_sz <= strlen(kMaxTs)) {
|
|
|
|
ts_slice = Slice(kMaxTs, ts_sz);
|
|
|
|
} else {
|
|
|
|
max_ts = std::string(ts_sz, '\xff');
|
|
|
|
ts_slice = Slice(max_ts);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2022-07-24 00:38:49 +00:00
|
|
|
if (start.has_value()) {
|
2023-07-10 21:21:34 +00:00
|
|
|
start_ikey.SetInternalKey(*start, kMaxSequenceNumber, kValueTypeForSeek);
|
2022-09-15 04:59:56 +00:00
|
|
|
if (ts_sz > 0) {
|
|
|
|
start_ikey.UpdateInternalKey(kMaxSequenceNumber, kValueTypeForSeek,
|
|
|
|
&ts_slice);
|
|
|
|
}
|
2021-06-09 22:40:16 +00:00
|
|
|
start_slice = start_ikey.GetInternalKey();
|
2023-02-22 20:28:18 +00:00
|
|
|
start_user_key = start_ikey.GetUserKey();
|
2021-06-09 22:40:16 +00:00
|
|
|
}
|
2022-07-24 00:38:49 +00:00
|
|
|
if (end.has_value()) {
|
2023-07-10 21:21:34 +00:00
|
|
|
end_ikey.SetInternalKey(*end, kMaxSequenceNumber, kValueTypeForSeek);
|
2022-09-15 04:59:56 +00:00
|
|
|
if (ts_sz > 0) {
|
|
|
|
end_ikey.UpdateInternalKey(kMaxSequenceNumber, kValueTypeForSeek,
|
|
|
|
&ts_slice);
|
|
|
|
}
|
2021-06-09 22:40:16 +00:00
|
|
|
end_slice = end_ikey.GetInternalKey();
|
2023-02-22 20:28:18 +00:00
|
|
|
end_user_key = end_ikey.GetUserKey();
|
2021-06-09 22:40:16 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
std::unique_ptr<InternalIterator> clip;
|
2022-07-24 00:38:49 +00:00
|
|
|
if (start.has_value() || end.has_value()) {
|
2022-03-12 00:13:23 +00:00
|
|
|
clip = std::make_unique<ClippingIterator>(
|
2022-07-24 00:38:49 +00:00
|
|
|
raw_input.get(), start.has_value() ? &start_slice : nullptr,
|
|
|
|
end.has_value() ? &end_slice : nullptr, &cfd->internal_comparator());
|
2021-06-09 22:40:16 +00:00
|
|
|
input = clip.get();
|
|
|
|
}
|
|
|
|
|
2021-06-24 23:11:07 +00:00
|
|
|
std::unique_ptr<InternalIterator> blob_counter;
|
|
|
|
|
|
|
|
if (sub_compact->compaction->DoesInputReferenceBlobFiles()) {
|
2022-07-14 03:54:49 +00:00
|
|
|
BlobGarbageMeter* meter = sub_compact->Current().CreateBlobGarbageMeter();
|
|
|
|
blob_counter = std::make_unique<BlobCountingIterator>(input, meter);
|
2021-06-24 23:11:07 +00:00
|
|
|
input = blob_counter.get();
|
|
|
|
}
|
|
|
|
|
2022-03-12 00:13:23 +00:00
|
|
|
std::unique_ptr<InternalIterator> trim_history_iter;
|
2022-09-15 04:59:56 +00:00
|
|
|
if (ts_sz > 0 && !trim_ts_.empty()) {
|
2022-03-12 00:13:23 +00:00
|
|
|
trim_history_iter = std::make_unique<HistoryTrimmingIterator>(
|
|
|
|
input, cfd->user_comparator(), trim_ts_);
|
|
|
|
input = trim_history_iter.get();
|
|
|
|
}
|
|
|
|
|
2021-06-09 22:40:16 +00:00
|
|
|
input->SeekToFirst();
|
2015-08-18 18:06:23 +00:00
|
|
|
|
2015-03-13 17:45:40 +00:00
|
|
|
AutoThreadOperationStageUpdater stage_updater(
|
|
|
|
ThreadStatus::STAGE_COMPACTION_PROCESS_KV);
|
2015-08-18 18:06:23 +00:00
|
|
|
|
|
|
|
// I/O measurement variables
|
|
|
|
PerfLevel prev_perf_level = PerfLevel::kEnableTime;
|
2015-09-10 21:35:25 +00:00
|
|
|
const uint64_t kRecordStatsEvery = 1000;
|
2015-08-18 18:06:23 +00:00
|
|
|
uint64_t prev_write_nanos = 0;
|
|
|
|
uint64_t prev_fsync_nanos = 0;
|
|
|
|
uint64_t prev_range_sync_nanos = 0;
|
|
|
|
uint64_t prev_prepare_write_nanos = 0;
|
2019-01-30 00:23:21 +00:00
|
|
|
uint64_t prev_cpu_write_nanos = 0;
|
|
|
|
uint64_t prev_cpu_read_nanos = 0;
|
2015-08-18 18:06:23 +00:00
|
|
|
if (measure_io_stats_) {
|
|
|
|
prev_perf_level = GetPerfLevel();
|
2019-01-30 00:23:21 +00:00
|
|
|
SetPerfLevel(PerfLevel::kEnableTimeAndCPUTimeExceptForMutex);
|
2015-10-19 20:40:44 +00:00
|
|
|
prev_write_nanos = IOSTATS(write_nanos);
|
|
|
|
prev_fsync_nanos = IOSTATS(fsync_nanos);
|
|
|
|
prev_range_sync_nanos = IOSTATS(range_sync_nanos);
|
|
|
|
prev_prepare_write_nanos = IOSTATS(prepare_write_nanos);
|
2019-01-30 00:23:21 +00:00
|
|
|
prev_cpu_write_nanos = IOSTATS(cpu_write_nanos);
|
|
|
|
prev_cpu_read_nanos = IOSTATS(cpu_read_nanos);
|
2015-08-18 18:06:23 +00:00
|
|
|
}
|
|
|
|
|
Compaction filter on merge operands
Summary:
Since Andres' internship is over, I took over https://reviews.facebook.net/D42555 and rebased and simplified it a bit.
The behavior in this diff is a bit simpler than in D42555:
* only merge operators are passed through FilterMergeValue(). If fitler function returns true, the merge operator is ignored
* compaction filter is *not* called on: 1) results of merge operations and 2) base values that are getting merged with merge operands (the second case was also true in previous diff)
Do we also need a compaction filter to get called on merge results?
Test Plan: make && make check
Reviewers: lovro, tnovak, rven, yhchiang, sdong
Reviewed By: sdong
Subscribers: noetzli, kolmike, leveldb, dhruba, sdong
Differential Revision: https://reviews.facebook.net/D47847
2015-10-07 16:30:03 +00:00
|
|
|
MergeHelper merge(
|
2021-04-23 03:42:50 +00:00
|
|
|
env_, cfd->user_comparator(), cfd->ioptions()->merge_operator.get(),
|
Compaction filter on merge operands
Summary:
Since Andres' internship is over, I took over https://reviews.facebook.net/D42555 and rebased and simplified it a bit.
The behavior in this diff is a bit simpler than in D42555:
* only merge operators are passed through FilterMergeValue(). If fitler function returns true, the merge operator is ignored
* compaction filter is *not* called on: 1) results of merge operations and 2) base values that are getting merged with merge operands (the second case was also true in previous diff)
Do we also need a compaction filter to get called on merge results?
Test Plan: make && make check
Reviewers: lovro, tnovak, rven, yhchiang, sdong
Reviewed By: sdong
Subscribers: noetzli, kolmike, leveldb, dhruba, sdong
Differential Revision: https://reviews.facebook.net/D47847
2015-10-07 16:30:03 +00:00
|
|
|
compaction_filter, db_options_.info_log.get(),
|
|
|
|
false /* internal key corruption is expected */,
|
|
|
|
existing_snapshots_.empty() ? 0 : existing_snapshots_.back(),
|
2021-05-05 20:59:21 +00:00
|
|
|
snapshot_checker_, compact_->compaction->level(), db_options_.stats);
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2020-10-26 20:50:03 +00:00
|
|
|
const MutableCFOptions* mutable_cf_options =
|
|
|
|
sub_compact->compaction->mutable_cf_options();
|
|
|
|
assert(mutable_cf_options);
|
|
|
|
|
|
|
|
std::vector<std::string> blob_file_paths;
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
// TODO: BlobDB to support output_to_penultimate_level compaction, which needs
|
|
|
|
// 2 builders, so may need to move to `CompactionOutputs`
|
2020-10-26 20:50:03 +00:00
|
|
|
std::unique_ptr<BlobFileBuilder> blob_file_builder(
|
2022-06-03 03:04:33 +00:00
|
|
|
(mutable_cf_options->enable_blob_files &&
|
|
|
|
sub_compact->compaction->output_level() >=
|
|
|
|
mutable_cf_options->blob_file_starting_level)
|
2021-09-17 00:17:40 +00:00
|
|
|
? new BlobFileBuilder(
|
|
|
|
versions_, fs_.get(),
|
|
|
|
sub_compact->compaction->immutable_options(),
|
Group SST write in flush, compaction and db open with new stats (#11910)
Summary:
## Context/Summary
Similar to https://github.com/facebook/rocksdb/pull/11288, https://github.com/facebook/rocksdb/pull/11444, categorizing SST/blob file write according to different io activities allows more insight into the activity.
For that, this PR does the following:
- Tag different write IOs by passing down and converting WriteOptions to IOOptions
- Add new SST_WRITE_MICROS histogram in WritableFileWriter::Append() and breakdown FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS
Some related code refactory to make implementation cleaner:
- Blob stats
- Replace high-level write measurement with low-level WritableFileWriter::Append() measurement for BLOB_DB_BLOB_FILE_WRITE_MICROS. This is to make FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS include blob file. As a consequence, this introduces some behavioral changes on it, see HISTORY and db bench test plan below for more info.
- Fix bugs where BLOB_DB_BLOB_FILE_SYNCED/BLOB_DB_BLOB_FILE_BYTES_WRITTEN include file failed to sync and bytes failed to write.
- Refactor WriteOptions constructor for easier construction with io_activity and rate_limiter_priority
- Refactor DBImpl::~DBImpl()/BlobDBImpl::Close() to bypass thread op verification
- Build table
- TableBuilderOptions now includes Read/WriteOpitons so BuildTable() do not need to take these two variables
- Replace the io_priority passed into BuildTable() with TableBuilderOptions::WriteOpitons::rate_limiter_priority. Similar for BlobFileBuilder.
This parameter is used for dynamically changing file io priority for flush, see https://github.com/facebook/rocksdb/pull/9988?fbclid=IwAR1DtKel6c-bRJAdesGo0jsbztRtciByNlvokbxkV6h_L-AE9MACzqRTT5s for more
- Update ThreadStatus::FLUSH_BYTES_WRITTEN to use io_activity to track flush IO in flush job and db open instead of io_priority
## Test
### db bench
Flush
```
./db_bench --statistics=1 --benchmarks=fillseq --num=100000 --write_buffer_size=100
rocksdb.sst.write.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.flush.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.db.open.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
```
compaction, db oopen
```
Setup: ./db_bench --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
rocksdb.sst.write.micros P50 : 2.675325 P95 : 9.578788 P99 : 18.780000 P100 : 314.000000 COUNT : 638 SUM : 3279
rocksdb.file.write.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.compaction.micros P50 : 2.757353 P95 : 9.610687 P99 : 19.316667 P100 : 314.000000 COUNT : 615 SUM : 3213
rocksdb.file.write.db.open.micros P50 : 2.055556 P95 : 3.925000 P99 : 9.000000 P100 : 9.000000 COUNT : 23 SUM : 66
```
blob stats - just to make sure they aren't broken by this PR
```
Integrated Blob DB
Setup: ./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 7.298246 P95 : 9.771930 P99 : 9.991813 P100 : 16.000000 COUNT : 235 SUM : 1600
rocksdb.blobdb.blob.file.synced COUNT : 1
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 2.000000 P95 : 2.829360 P99 : 2.993779 P100 : 9.000000 COUNT : 707 SUM : 1614
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 1 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 (stay the same)
```
```
Stacked Blob DB
Run: ./db_bench --use_blob_db=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 12.808042 P95 : 19.674497 P99 : 28.539683 P100 : 51.000000 COUNT : 10000 SUM : 140876
rocksdb.blobdb.blob.file.synced COUNT : 8
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 1.657370 P95 : 2.952175 P99 : 3.877519 P100 : 24.000000 COUNT : 30001 SUM : 67924
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 8 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 (stay the same)
```
### Rehearsal CI stress test
Trigger 3 full runs of all our CI stress tests
### Performance
Flush
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=ManualFlush/key_num:524288/per_key_size:256 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark; enable_statistics = true
Pre-pr: avg 507515519.3 ns
497686074,499444327,500862543,501389862,502994471,503744435,504142123,504224056,505724198,506610393,506837742,506955122,507695561,507929036,508307733,508312691,508999120,509963561,510142147,510698091,510743096,510769317,510957074,511053311,511371367,511409911,511432960,511642385,511691964,511730908,
Post-pr: avg 511971266.5 ns, regressed 0.88%
502744835,506502498,507735420,507929724,508313335,509548582,509994942,510107257,510715603,511046955,511352639,511458478,512117521,512317380,512766303,512972652,513059586,513804934,513808980,514059409,514187369,514389494,514447762,514616464,514622882,514641763,514666265,514716377,514990179,515502408,
```
Compaction
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_{pre|post}_pr --benchmark_filter=ManualCompaction/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 495346098.30 ns
492118301,493203526,494201411,494336607,495269217,495404950,496402598,497012157,497358370,498153846
Post-pr: avg 504528077.20, regressed 1.85%. "ManualCompaction" include flush so the isolated regression for compaction should be around 1.85-0.88 = 0.97%
502465338,502485945,502541789,502909283,503438601,504143885,506113087,506629423,507160414,507393007
```
Put with WAL (in case passing WriteOptions slows down this path even without collecting SST write stats)
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=DBPut/comp_style:0/max_data:107374182400/per_key_size:256/enable_statistics:1/wal:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 3848.10 ns
3814,3838,3839,3848,3854,3854,3854,3860,3860,3860
Post-pr: avg 3874.20 ns, regressed 0.68%
3863,3867,3871,3874,3875,3877,3877,3877,3880,3881
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11910
Reviewed By: ajkr
Differential Revision: D49788060
Pulled By: hx235
fbshipit-source-id: 79e73699cda5be3b66461687e5147c2484fc5eff
2023-12-29 23:29:23 +00:00
|
|
|
mutable_cf_options, &file_options_, &write_options, db_id_,
|
|
|
|
db_session_id_, job_id_, cfd->GetID(), cfd->GetName(),
|
2022-07-17 14:13:59 +00:00
|
|
|
write_hint_, io_tracer_, blob_callback_,
|
|
|
|
BlobFileCreationReason::kCompaction, &blob_file_paths,
|
2022-07-14 03:54:49 +00:00
|
|
|
sub_compact->Current().GetBlobFileAdditionsPtr())
|
2020-10-26 20:50:03 +00:00
|
|
|
: nullptr);
|
|
|
|
|
2015-03-14 15:21:53 +00:00
|
|
|
TEST_SYNC_POINT("CompactionJob::Run():Inprogress");
|
2019-09-19 19:32:33 +00:00
|
|
|
TEST_SYNC_POINT_CALLBACK(
|
|
|
|
"CompactionJob::Run():PausingManualCompaction:1",
|
|
|
|
reinterpret_cast<void*>(
|
2022-06-07 01:32:26 +00:00
|
|
|
const_cast<std::atomic<bool>*>(&manual_compaction_canceled_)));
|
2015-03-11 17:31:02 +00:00
|
|
|
|
2020-11-12 19:40:52 +00:00
|
|
|
const std::string* const full_history_ts_low =
|
|
|
|
full_history_ts_low_.empty() ? nullptr : &full_history_ts_low_;
|
CompactionIterator sees consistent view of which keys are committed (#9830)
Summary:
**This PR does not affect the functionality of `DB` and write-committed transactions.**
`CompactionIterator` uses `KeyCommitted(seq)` to determine if a key in the database is committed.
As the name 'write-committed' implies, if write-committed policy is used, a key exists in the database only if
it is committed. In fact, the implementation of `KeyCommitted()` is as follows:
```
inline bool KeyCommitted(SequenceNumber seq) {
// For non-txn-db and write-committed, snapshot_checker_ is always nullptr.
return snapshot_checker_ == nullptr ||
snapshot_checker_->CheckInSnapshot(seq, kMaxSequence) == SnapshotCheckerResult::kInSnapshot;
}
```
With that being said, we focus on write-prepared/write-unprepared transactions.
A few notes:
- A key can exist in the db even if it's uncommitted. Therefore, we rely on `snapshot_checker_` to determine data visibility. We also require that all writes go through transaction API instead of the raw `WriteBatch` + `Write`, thus at most one uncommitted version of one user key can exist in the database.
- `CompactionIterator` outputs a key as long as the key is uncommitted.
Due to the above reasons, it is possible that `CompactionIterator` decides to output an uncommitted key without
doing further checks on the key (`NextFromInput()`). By the time the key is being prepared for output, the key becomes
committed because the `snapshot_checker_(seq, kMaxSequence)` becomes true in the implementation of `KeyCommitted()`.
Then `CompactionIterator` will try to zero its sequence number and hit assertion error if the key is a tombstone.
To fix this issue, we should make the `CompactionIterator` see a consistent view of the input keys. Note that
for write-prepared/write-unprepared, the background flush/compaction jobs already take a "job snapshot" before starting
processing keys. The job snapshot is released only after the entire flush/compaction finishes. We can use this snapshot
to determine whether a key is committed or not with minor change to `KeyCommitted()`.
```
inline bool KeyCommitted(SequenceNumber sequence) {
// For non-txn-db and write-committed, snapshot_checker_ is always nullptr.
return snapshot_checker_ == nullptr ||
snapshot_checker_->CheckInSnapshot(sequence, job_snapshot_) ==
SnapshotCheckerResult::kInSnapshot;
}
```
As a result, whether a key is committed or not will remain a constant throughout compaction, causing no trouble
for `CompactionIterator`s assertions.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9830
Test Plan: make check
Reviewed By: ltamasi
Differential Revision: D35561162
Pulled By: riversand963
fbshipit-source-id: 0e00d200c195240341cfe6d34cbc86798b315b9f
2022-04-14 18:11:04 +00:00
|
|
|
const SequenceNumber job_snapshot_seq =
|
|
|
|
job_context_ ? job_context_->GetJobSnapshotSequence()
|
|
|
|
: kMaxSequenceNumber;
|
2022-07-14 03:54:49 +00:00
|
|
|
|
|
|
|
auto c_iter = std::make_unique<CompactionIterator>(
|
2021-06-09 22:40:16 +00:00
|
|
|
input, cfd->user_comparator(), &merge, versions_->LastSequence(),
|
CompactionIterator sees consistent view of which keys are committed (#9830)
Summary:
**This PR does not affect the functionality of `DB` and write-committed transactions.**
`CompactionIterator` uses `KeyCommitted(seq)` to determine if a key in the database is committed.
As the name 'write-committed' implies, if write-committed policy is used, a key exists in the database only if
it is committed. In fact, the implementation of `KeyCommitted()` is as follows:
```
inline bool KeyCommitted(SequenceNumber seq) {
// For non-txn-db and write-committed, snapshot_checker_ is always nullptr.
return snapshot_checker_ == nullptr ||
snapshot_checker_->CheckInSnapshot(seq, kMaxSequence) == SnapshotCheckerResult::kInSnapshot;
}
```
With that being said, we focus on write-prepared/write-unprepared transactions.
A few notes:
- A key can exist in the db even if it's uncommitted. Therefore, we rely on `snapshot_checker_` to determine data visibility. We also require that all writes go through transaction API instead of the raw `WriteBatch` + `Write`, thus at most one uncommitted version of one user key can exist in the database.
- `CompactionIterator` outputs a key as long as the key is uncommitted.
Due to the above reasons, it is possible that `CompactionIterator` decides to output an uncommitted key without
doing further checks on the key (`NextFromInput()`). By the time the key is being prepared for output, the key becomes
committed because the `snapshot_checker_(seq, kMaxSequence)` becomes true in the implementation of `KeyCommitted()`.
Then `CompactionIterator` will try to zero its sequence number and hit assertion error if the key is a tombstone.
To fix this issue, we should make the `CompactionIterator` see a consistent view of the input keys. Note that
for write-prepared/write-unprepared, the background flush/compaction jobs already take a "job snapshot" before starting
processing keys. The job snapshot is released only after the entire flush/compaction finishes. We can use this snapshot
to determine whether a key is committed or not with minor change to `KeyCommitted()`.
```
inline bool KeyCommitted(SequenceNumber sequence) {
// For non-txn-db and write-committed, snapshot_checker_ is always nullptr.
return snapshot_checker_ == nullptr ||
snapshot_checker_->CheckInSnapshot(sequence, job_snapshot_) ==
SnapshotCheckerResult::kInSnapshot;
}
```
As a result, whether a key is committed or not will remain a constant throughout compaction, causing no trouble
for `CompactionIterator`s assertions.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9830
Test Plan: make check
Reviewed By: ltamasi
Differential Revision: D35561162
Pulled By: riversand963
fbshipit-source-id: 0e00d200c195240341cfe6d34cbc86798b315b9f
2022-04-14 18:11:04 +00:00
|
|
|
&existing_snapshots_, earliest_write_conflict_snapshot_, job_snapshot_seq,
|
2020-07-15 00:16:18 +00:00
|
|
|
snapshot_checker_, env_, ShouldReportDetailedTime(env_, stats_),
|
2022-07-14 03:54:49 +00:00
|
|
|
/*expect_valid_internal_key=*/true, range_del_agg.get(),
|
2020-10-26 20:50:03 +00:00
|
|
|
blob_file_builder.get(), db_options_.allow_data_in_errors,
|
2022-06-07 01:32:26 +00:00
|
|
|
db_options_.enforce_single_del_contracts, manual_compaction_canceled_,
|
2023-07-28 16:47:31 +00:00
|
|
|
sub_compact->compaction
|
|
|
|
->DoesInputReferenceBlobFiles() /* must_count_input_entries */,
|
2022-06-07 01:32:26 +00:00
|
|
|
sub_compact->compaction, compaction_filter, shutting_down_,
|
2022-10-08 01:49:40 +00:00
|
|
|
db_options_.info_log, full_history_ts_low, preserve_time_min_seqno_,
|
|
|
|
preclude_last_level_min_seqno_);
|
2015-09-10 21:35:25 +00:00
|
|
|
c_iter->SeekToFirst();
|
2022-07-14 03:54:49 +00:00
|
|
|
|
|
|
|
// Assign range delete aggregator to the target output level, which makes sure
|
|
|
|
// it only output to single level
|
|
|
|
sub_compact->AssignRangeDelAggregator(std::move(range_del_agg));
|
|
|
|
|
2015-09-10 21:35:25 +00:00
|
|
|
const auto& c_iter_stats = c_iter->iter_stats();
|
Shared dictionary compression using reference block
Summary:
This adds a new metablock containing a shared dictionary that is used
to compress all data blocks in the SST file. The size of the shared dictionary
is configurable in CompressionOptions and defaults to 0. It's currently only
used for zlib/lz4/lz4hc, but the block will be stored in the SST regardless of
the compression type if the user chooses a nonzero dictionary size.
During compaction, computes the dictionary by randomly sampling the first
output file in each subcompaction. It pre-computes the intervals to sample
by assuming the output file will have the maximum allowable length. In case
the file is smaller, some of the pre-computed sampling intervals can be beyond
end-of-file, in which case we skip over those samples and the dictionary will
be a bit smaller. After the dictionary is generated using the first file in a
subcompaction, it is loaded into the compression library before writing each
block in each subsequent file of that subcompaction.
On the read path, gets the dictionary from the metablock, if it exists. Then,
loads that dictionary into the compression library before reading each block.
Test Plan: new unit test
Reviewers: yhchiang, IslamAbdelRahman, cyan, sdong
Reviewed By: sdong
Subscribers: andrewkr, yoshinorim, kradhakrishnan, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D52287
2016-04-28 00:36:03 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
// define the open and close functions for the compaction files, which will be
|
|
|
|
// used open/close output files when needed.
|
|
|
|
const CompactionFileOpenFunc open_file_func =
|
|
|
|
[this, sub_compact](CompactionOutputs& outputs) {
|
|
|
|
return this->OpenCompactionOutputFile(sub_compact, outputs);
|
|
|
|
};
|
2023-02-22 20:28:18 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
const CompactionFileCloseFunc close_file_func =
|
2023-02-22 20:28:18 +00:00
|
|
|
[this, sub_compact, start_user_key, end_user_key](
|
|
|
|
CompactionOutputs& outputs, const Status& status,
|
|
|
|
const Slice& next_table_min_key) {
|
|
|
|
return this->FinishCompactionOutputFile(
|
|
|
|
status, sub_compact, outputs, next_table_min_key,
|
|
|
|
sub_compact->start.has_value() ? &start_user_key : nullptr,
|
|
|
|
sub_compact->end.has_value() ? &end_user_key : nullptr);
|
2022-07-14 03:54:49 +00:00
|
|
|
};
|
2020-07-24 20:43:14 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
Status status;
|
2022-10-22 15:57:38 +00:00
|
|
|
TEST_SYNC_POINT_CALLBACK(
|
|
|
|
"CompactionJob::ProcessKeyValueCompaction()::Processing",
|
|
|
|
reinterpret_cast<void*>(
|
|
|
|
const_cast<Compaction*>(sub_compact->compaction)));
|
2023-09-12 22:48:36 +00:00
|
|
|
uint64_t last_cpu_micros = prev_cpu_micros;
|
2017-01-11 23:01:21 +00:00
|
|
|
while (status.ok() && !cfd->IsDropped() && c_iter->Valid()) {
|
2015-09-10 21:35:25 +00:00
|
|
|
// Invariant: c_iter.status() is guaranteed to be OK if c_iter->Valid()
|
|
|
|
// returns true.
|
2023-07-10 21:21:34 +00:00
|
|
|
assert(!end.has_value() ||
|
|
|
|
cfd->user_comparator()->Compare(c_iter->user_key(), *end) < 0);
|
2021-06-09 22:40:16 +00:00
|
|
|
|
2015-09-10 21:35:25 +00:00
|
|
|
if (c_iter_stats.num_input_records % kRecordStatsEvery ==
|
|
|
|
kRecordStatsEvery - 1) {
|
|
|
|
RecordDroppedKeys(c_iter_stats, &sub_compact->compaction_job_stats);
|
|
|
|
c_iter->ResetRecordCounts();
|
|
|
|
RecordCompactionIOStats();
|
2023-09-12 22:48:36 +00:00
|
|
|
|
|
|
|
uint64_t cur_cpu_micros = db_options_.clock->CPUMicros();
|
|
|
|
assert(cur_cpu_micros >= last_cpu_micros);
|
|
|
|
RecordTick(stats_, COMPACTION_CPU_TOTAL_TIME,
|
|
|
|
cur_cpu_micros - last_cpu_micros);
|
|
|
|
last_cpu_micros = cur_cpu_micros;
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
// Add current compaction_iterator key to target compaction output, if the
|
|
|
|
// output file needs to be close or open, it will call the `open_file_func`
|
|
|
|
// and `close_file_func`.
|
|
|
|
// TODO: it would be better to have the compaction file open/close moved
|
|
|
|
// into `CompactionOutputs` which has the output file information.
|
|
|
|
status = sub_compact->AddToOutput(*c_iter, open_file_func, close_file_func);
|
2022-04-16 03:25:48 +00:00
|
|
|
if (!status.ok()) {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
2019-09-19 19:32:33 +00:00
|
|
|
TEST_SYNC_POINT_CALLBACK(
|
|
|
|
"CompactionJob::Run():PausingManualCompaction:2",
|
|
|
|
reinterpret_cast<void*>(
|
2022-06-07 01:32:26 +00:00
|
|
|
const_cast<std::atomic<bool>*>(&manual_compaction_canceled_)));
|
2017-02-09 00:07:29 +00:00
|
|
|
c_iter->Next();
|
2019-09-17 04:00:13 +00:00
|
|
|
if (c_iter->status().IsManualCompactionPaused()) {
|
|
|
|
break;
|
|
|
|
}
|
2023-07-28 16:47:31 +00:00
|
|
|
|
|
|
|
#ifndef NDEBUG
|
|
|
|
bool stop = false;
|
|
|
|
TEST_SYNC_POINT_CALLBACK("CompactionJob::ProcessKeyValueCompaction()::stop",
|
|
|
|
static_cast<void*>(&stop));
|
|
|
|
if (stop) {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
#endif // NDEBUG
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
2015-07-29 02:21:55 +00:00
|
|
|
|
2023-07-28 16:47:31 +00:00
|
|
|
// This number may not be accurate when CompactionIterator was created
|
|
|
|
// with `must_count_input_entries=false`.
|
|
|
|
assert(!sub_compact->compaction->DoesInputReferenceBlobFiles() ||
|
|
|
|
c_iter->HasNumInputEntryScanned());
|
|
|
|
sub_compact->compaction_job_stats.has_num_input_records =
|
|
|
|
c_iter->HasNumInputEntryScanned();
|
|
|
|
sub_compact->compaction_job_stats.num_input_records =
|
|
|
|
c_iter->NumInputEntryScanned();
|
2021-03-04 08:42:11 +00:00
|
|
|
sub_compact->compaction_job_stats.num_blobs_read =
|
|
|
|
c_iter_stats.num_blobs_read;
|
|
|
|
sub_compact->compaction_job_stats.total_blob_bytes_read =
|
|
|
|
c_iter_stats.total_blob_bytes_read;
|
2015-09-10 21:35:25 +00:00
|
|
|
sub_compact->compaction_job_stats.num_input_deletion_records =
|
|
|
|
c_iter_stats.num_input_deletion_records;
|
|
|
|
sub_compact->compaction_job_stats.num_corrupt_keys =
|
|
|
|
c_iter_stats.num_input_corrupt_records;
|
2016-08-16 15:21:43 +00:00
|
|
|
sub_compact->compaction_job_stats.num_single_del_fallthru =
|
|
|
|
c_iter_stats.num_single_del_fallthru;
|
|
|
|
sub_compact->compaction_job_stats.num_single_del_mismatch =
|
|
|
|
c_iter_stats.num_single_del_mismatch;
|
2015-09-10 21:35:25 +00:00
|
|
|
sub_compact->compaction_job_stats.total_input_raw_key_bytes +=
|
|
|
|
c_iter_stats.total_input_raw_key_bytes;
|
|
|
|
sub_compact->compaction_job_stats.total_input_raw_value_bytes +=
|
|
|
|
c_iter_stats.total_input_raw_value_bytes;
|
|
|
|
|
|
|
|
RecordTick(stats_, FILTER_OPERATION_TOTAL_TIME,
|
|
|
|
c_iter_stats.total_filter_time);
|
2021-08-18 00:21:16 +00:00
|
|
|
|
|
|
|
if (c_iter_stats.num_blobs_relocated > 0) {
|
|
|
|
RecordTick(stats_, BLOB_DB_GC_NUM_KEYS_RELOCATED,
|
|
|
|
c_iter_stats.num_blobs_relocated);
|
|
|
|
}
|
|
|
|
if (c_iter_stats.total_blob_bytes_relocated > 0) {
|
|
|
|
RecordTick(stats_, BLOB_DB_GC_BYTES_RELOCATED,
|
|
|
|
c_iter_stats.total_blob_bytes_relocated);
|
|
|
|
}
|
|
|
|
|
2015-09-10 21:35:25 +00:00
|
|
|
RecordDroppedKeys(c_iter_stats, &sub_compact->compaction_job_stats);
|
2014-10-31 23:31:25 +00:00
|
|
|
RecordCompactionIOStats();
|
|
|
|
|
2019-05-20 17:37:37 +00:00
|
|
|
if (status.ok() && cfd->IsDropped()) {
|
|
|
|
status =
|
|
|
|
Status::ColumnFamilyDropped("Column family dropped during compaction");
|
|
|
|
}
|
|
|
|
if ((status.ok() || status.IsColumnFamilyDropped()) &&
|
|
|
|
shutting_down_->load(std::memory_order_relaxed)) {
|
|
|
|
status = Status::ShutdownInProgress("Database shutdown");
|
2015-07-29 02:21:55 +00:00
|
|
|
}
|
2019-09-17 04:00:13 +00:00
|
|
|
if ((status.ok() || status.IsColumnFamilyDropped()) &&
|
2022-06-07 01:32:26 +00:00
|
|
|
(manual_compaction_canceled_.load(std::memory_order_relaxed))) {
|
2019-09-17 04:00:13 +00:00
|
|
|
status = Status::Incomplete(Status::SubCode::kManualCompactionPaused);
|
|
|
|
}
|
2017-01-11 23:01:21 +00:00
|
|
|
if (status.ok()) {
|
|
|
|
status = input->status();
|
|
|
|
}
|
|
|
|
if (status.ok()) {
|
|
|
|
status = c_iter->status();
|
|
|
|
}
|
|
|
|
|
|
|
|
// Call FinishCompactionOutputFile() even if status is not ok: it needs to
|
2022-07-14 03:54:49 +00:00
|
|
|
// close the output files. Open file function is also passed, in case there's
|
|
|
|
// only range-dels, no file was opened, to save the range-dels, it need to
|
|
|
|
// create a new output file.
|
|
|
|
status = sub_compact->CloseCompactionFiles(status, open_file_func,
|
|
|
|
close_file_func);
|
2015-07-29 02:21:55 +00:00
|
|
|
|
2020-10-26 20:50:03 +00:00
|
|
|
if (blob_file_builder) {
|
|
|
|
if (status.ok()) {
|
|
|
|
status = blob_file_builder->Finish();
|
2021-03-18 03:43:22 +00:00
|
|
|
} else {
|
2021-09-17 00:17:40 +00:00
|
|
|
blob_file_builder->Abandon(status);
|
2020-10-26 20:50:03 +00:00
|
|
|
}
|
|
|
|
blob_file_builder.reset();
|
2022-07-14 03:54:49 +00:00
|
|
|
sub_compact->Current().UpdateBlobStats();
|
2020-10-26 20:50:03 +00:00
|
|
|
}
|
|
|
|
|
2023-09-12 22:48:36 +00:00
|
|
|
uint64_t cur_cpu_micros = db_options_.clock->CPUMicros();
|
2019-01-30 00:23:21 +00:00
|
|
|
sub_compact->compaction_job_stats.cpu_micros =
|
2023-09-12 22:48:36 +00:00
|
|
|
cur_cpu_micros - prev_cpu_micros;
|
|
|
|
RecordTick(stats_, COMPACTION_CPU_TOTAL_TIME,
|
|
|
|
cur_cpu_micros - last_cpu_micros);
|
2019-01-30 00:23:21 +00:00
|
|
|
|
2015-08-18 18:06:23 +00:00
|
|
|
if (measure_io_stats_) {
|
|
|
|
sub_compact->compaction_job_stats.file_write_nanos +=
|
2015-10-19 20:40:44 +00:00
|
|
|
IOSTATS(write_nanos) - prev_write_nanos;
|
2015-08-18 18:06:23 +00:00
|
|
|
sub_compact->compaction_job_stats.file_fsync_nanos +=
|
2015-10-19 20:40:44 +00:00
|
|
|
IOSTATS(fsync_nanos) - prev_fsync_nanos;
|
2015-08-18 18:06:23 +00:00
|
|
|
sub_compact->compaction_job_stats.file_range_sync_nanos +=
|
2015-10-19 20:40:44 +00:00
|
|
|
IOSTATS(range_sync_nanos) - prev_range_sync_nanos;
|
2015-08-18 18:06:23 +00:00
|
|
|
sub_compact->compaction_job_stats.file_prepare_write_nanos +=
|
2015-10-19 20:40:44 +00:00
|
|
|
IOSTATS(prepare_write_nanos) - prev_prepare_write_nanos;
|
2019-01-30 00:23:21 +00:00
|
|
|
sub_compact->compaction_job_stats.cpu_micros -=
|
2019-01-31 19:53:29 +00:00
|
|
|
(IOSTATS(cpu_write_nanos) - prev_cpu_write_nanos +
|
|
|
|
IOSTATS(cpu_read_nanos) - prev_cpu_read_nanos) /
|
|
|
|
1000;
|
2019-01-30 00:23:21 +00:00
|
|
|
if (prev_perf_level != PerfLevel::kEnableTimeAndCPUTimeExceptForMutex) {
|
2015-08-18 18:06:23 +00:00
|
|
|
SetPerfLevel(prev_perf_level);
|
|
|
|
}
|
|
|
|
}
|
2020-09-29 16:47:33 +00:00
|
|
|
#ifdef ROCKSDB_ASSERT_STATUS_CHECKED
|
|
|
|
if (!status.ok()) {
|
2022-07-14 03:54:49 +00:00
|
|
|
if (c_iter) {
|
|
|
|
c_iter->status().PermitUncheckedError();
|
2020-09-29 16:47:33 +00:00
|
|
|
}
|
|
|
|
if (input) {
|
|
|
|
input->status().PermitUncheckedError();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
#endif // ROCKSDB_ASSERT_STATUS_CHECKED
|
2015-08-18 18:06:23 +00:00
|
|
|
|
2021-06-24 23:11:07 +00:00
|
|
|
blob_counter.reset();
|
2021-06-09 22:40:16 +00:00
|
|
|
clip.reset();
|
|
|
|
raw_input.reset();
|
2015-08-18 18:06:23 +00:00
|
|
|
sub_compact->status = status;
|
2022-02-17 23:46:16 +00:00
|
|
|
NotifyOnSubcompactionCompleted(sub_compact);
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
uint64_t CompactionJob::GetCompactionId(SubcompactionState* sub_compact) const {
|
2021-06-29 17:41:22 +00:00
|
|
|
return (uint64_t)job_id_ << 32 | sub_compact->sub_job_id;
|
|
|
|
}
|
|
|
|
|
2015-06-03 00:07:16 +00:00
|
|
|
void CompactionJob::RecordDroppedKeys(
|
2016-11-28 19:44:40 +00:00
|
|
|
const CompactionIterationStats& c_iter_stats,
|
2015-08-18 18:06:23 +00:00
|
|
|
CompactionJobStats* compaction_job_stats) {
|
2015-09-10 21:35:25 +00:00
|
|
|
if (c_iter_stats.num_record_drop_user > 0) {
|
|
|
|
RecordTick(stats_, COMPACTION_KEY_DROP_USER,
|
|
|
|
c_iter_stats.num_record_drop_user);
|
2015-06-03 00:07:16 +00:00
|
|
|
}
|
2015-09-10 21:35:25 +00:00
|
|
|
if (c_iter_stats.num_record_drop_hidden > 0) {
|
|
|
|
RecordTick(stats_, COMPACTION_KEY_DROP_NEWER_ENTRY,
|
|
|
|
c_iter_stats.num_record_drop_hidden);
|
2015-08-18 18:06:23 +00:00
|
|
|
if (compaction_job_stats) {
|
2015-09-10 21:35:25 +00:00
|
|
|
compaction_job_stats->num_records_replaced +=
|
|
|
|
c_iter_stats.num_record_drop_hidden;
|
2015-06-03 00:07:16 +00:00
|
|
|
}
|
|
|
|
}
|
2015-09-10 21:35:25 +00:00
|
|
|
if (c_iter_stats.num_record_drop_obsolete > 0) {
|
|
|
|
RecordTick(stats_, COMPACTION_KEY_DROP_OBSOLETE,
|
|
|
|
c_iter_stats.num_record_drop_obsolete);
|
2015-08-18 18:06:23 +00:00
|
|
|
if (compaction_job_stats) {
|
2015-09-10 21:35:25 +00:00
|
|
|
compaction_job_stats->num_expired_deletion_records +=
|
|
|
|
c_iter_stats.num_record_drop_obsolete;
|
2015-07-13 22:51:38 +00:00
|
|
|
}
|
2015-06-03 00:07:16 +00:00
|
|
|
}
|
2016-11-28 19:44:40 +00:00
|
|
|
if (c_iter_stats.num_record_drop_range_del > 0) {
|
|
|
|
RecordTick(stats_, COMPACTION_KEY_DROP_RANGE_DEL,
|
|
|
|
c_iter_stats.num_record_drop_range_del);
|
|
|
|
}
|
|
|
|
if (c_iter_stats.num_range_del_drop_obsolete > 0) {
|
|
|
|
RecordTick(stats_, COMPACTION_RANGE_DEL_DROP_OBSOLETE,
|
|
|
|
c_iter_stats.num_range_del_drop_obsolete);
|
|
|
|
}
|
2017-08-19 21:01:25 +00:00
|
|
|
if (c_iter_stats.num_optimized_del_drop_obsolete > 0) {
|
|
|
|
RecordTick(stats_, COMPACTION_OPTIMIZED_DEL_DROP_OBSOLETE,
|
|
|
|
c_iter_stats.num_optimized_del_drop_obsolete);
|
|
|
|
}
|
2015-06-03 00:07:16 +00:00
|
|
|
}
|
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
Status CompactionJob::FinishCompactionOutputFile(
|
Compaction Support for Range Deletion
Summary:
This diff introduces RangeDelAggregator, which takes ownership of iterators
provided to it via AddTombstones(). The tombstones are organized in a two-level
map (snapshot stripe -> begin key -> tombstone). Tombstone creation avoids data
copy by holding Slices returned by the iterator, which remain valid thanks to pinning.
For compaction, we create a hierarchical range tombstone iterator with structure
matching the iterator over compaction input data. An aggregator based on that
iterator is used by CompactionIterator to determine which keys are covered by
range tombstones. In case of merge operand, the same aggregator is used by
MergeHelper. Upon finishing each file in the compaction, relevant range tombstones
are added to the output file's range tombstone metablock and file boundaries are
updated accordingly.
To check whether a key is covered by range tombstone, RangeDelAggregator::ShouldDelete()
considers tombstones in the key's snapshot stripe. When this function is used outside of
compaction, it also checks newer stripes, which can contain covering tombstones. Currently
the intra-stripe check involves a linear scan; however, in the future we plan to collapse ranges
within a stripe such that binary search can be used.
RangeDelAggregator::AddToBuilder() adds all range tombstones in the table's key-range
to a new table's range tombstone meta-block. Since range tombstones may fall in the gap
between files, we may need to extend some files' key-ranges. The strategy is (1) first file
extends as far left as possible and other files do not extend left, (2) all files extend right
until either the start of the next file or the end of the last range tombstone in the gap,
whichever comes first.
One other notable change is adding release/move semantics to ScopedArenaIterator
such that it can be used to transfer ownership of an arena-allocated iterator, similar to
how unique_ptr is used for malloc'd data.
Depends on D61473
Test Plan: compaction_iterator_test, mock_table, end-to-end tests in D63927
Reviewers: sdong, IslamAbdelRahman, wanning, yhchiang, lightmark
Reviewed By: lightmark
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D62205
2016-10-18 19:04:56 +00:00
|
|
|
const Status& input_status, SubcompactionState* sub_compact,
|
2023-02-22 20:28:18 +00:00
|
|
|
CompactionOutputs& outputs, const Slice& next_table_min_key,
|
|
|
|
const Slice* comp_start_user_key, const Slice* comp_end_user_key) {
|
2015-03-13 17:45:40 +00:00
|
|
|
AutoThreadOperationStageUpdater stage_updater(
|
|
|
|
ThreadStatus::STAGE_COMPACTION_SYNC_FILE);
|
2015-08-18 18:06:23 +00:00
|
|
|
assert(sub_compact != nullptr);
|
2022-07-14 03:54:49 +00:00
|
|
|
assert(outputs.HasBuilder());
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
FileMetaData* meta = outputs.GetMetaData();
|
|
|
|
uint64_t output_number = meta->fd.GetNumber();
|
2014-10-31 23:31:25 +00:00
|
|
|
assert(output_number != 0);
|
|
|
|
|
Range deletion performance improvements + cleanup (#4014)
Summary:
This fixes the same performance issue that #3992 fixes but with much more invasive cleanup.
I'm more excited about this PR because it paves the way for fixing another problem we uncovered at Cockroach where range deletion tombstones can cause massive compactions. For example, suppose L4 contains deletions from [a, c) and [x, z) and no other keys, and L5 is entirely empty. L6, however, is full of data. When compacting L4 -> L5, we'll end up with one file that spans, massively, from [a, z). When we go to compact L5 -> L6, we'll have to rewrite all of L6! If, instead of range deletions in L4, we had keys a, b, x, y, and z, RocksDB would have been smart enough to create two files in L5: one for a and b and another for x, y, and z.
With the changes in this PR, it will be possible to adjust the compaction logic to split tombstones/start new output files when they would span too many files in the grandparent level.
ajkr please take a look when you have a minute!
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4014
Differential Revision: D8773253
Pulled By: ajkr
fbshipit-source-id: ec62fa85f648fdebe1380b83ed997f9baec35677
2018-07-12 21:28:10 +00:00
|
|
|
ColumnFamilyData* cfd = sub_compact->compaction->column_family_data();
|
2020-08-25 17:44:39 +00:00
|
|
|
std::string file_checksum = kUnknownFileChecksum;
|
|
|
|
std::string file_checksum_func_name = kUnknownFileChecksumFuncName;
|
Range deletion performance improvements + cleanup (#4014)
Summary:
This fixes the same performance issue that #3992 fixes but with much more invasive cleanup.
I'm more excited about this PR because it paves the way for fixing another problem we uncovered at Cockroach where range deletion tombstones can cause massive compactions. For example, suppose L4 contains deletions from [a, c) and [x, z) and no other keys, and L5 is entirely empty. L6, however, is full of data. When compacting L4 -> L5, we'll end up with one file that spans, massively, from [a, z). When we go to compact L5 -> L6, we'll have to rewrite all of L6! If, instead of range deletions in L4, we had keys a, b, x, y, and z, RocksDB would have been smart enough to create two files in L5: one for a and b and another for x, y, and z.
With the changes in this PR, it will be possible to adjust the compaction logic to split tombstones/start new output files when they would span too many files in the grandparent level.
ajkr please take a look when you have a minute!
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4014
Differential Revision: D8773253
Pulled By: ajkr
fbshipit-source-id: ec62fa85f648fdebe1380b83ed997f9baec35677
2018-07-12 21:28:10 +00:00
|
|
|
|
2014-10-31 23:31:25 +00:00
|
|
|
// Check for iterator errors
|
2015-07-15 16:55:45 +00:00
|
|
|
Status s = input_status;
|
2018-12-17 21:12:22 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
// Add range tombstones
|
|
|
|
auto earliest_snapshot = kMaxSequenceNumber;
|
|
|
|
if (existing_snapshots_.size() > 0) {
|
|
|
|
earliest_snapshot = existing_snapshots_[0];
|
|
|
|
}
|
|
|
|
if (s.ok()) {
|
|
|
|
CompactionIterationStats range_del_out_stats;
|
|
|
|
// if the compaction supports per_key_placement, only output range dels to
|
|
|
|
// the penultimate level.
|
|
|
|
// Note: Use `bottommost_level_ = true` for both bottommost and
|
|
|
|
// output_to_penultimate_level compaction here, as it's only used to decide
|
|
|
|
// if range dels could be dropped.
|
|
|
|
if (outputs.HasRangeDel()) {
|
2023-02-22 20:28:18 +00:00
|
|
|
s = outputs.AddRangeDels(comp_start_user_key, comp_end_user_key,
|
|
|
|
range_del_out_stats, bottommost_level_,
|
|
|
|
cfd->internal_comparator(), earliest_snapshot,
|
|
|
|
next_table_min_key, full_history_ts_low_);
|
2018-12-17 21:12:22 +00:00
|
|
|
}
|
2022-07-14 03:54:49 +00:00
|
|
|
RecordDroppedKeys(range_del_out_stats, &sub_compact->compaction_job_stats);
|
2020-07-15 18:02:44 +00:00
|
|
|
TEST_SYNC_POINT("CompactionJob::FinishCompactionOutputFile1");
|
2022-07-14 03:54:49 +00:00
|
|
|
}
|
Range deletion performance improvements + cleanup (#4014)
Summary:
This fixes the same performance issue that #3992 fixes but with much more invasive cleanup.
I'm more excited about this PR because it paves the way for fixing another problem we uncovered at Cockroach where range deletion tombstones can cause massive compactions. For example, suppose L4 contains deletions from [a, c) and [x, z) and no other keys, and L5 is entirely empty. L6, however, is full of data. When compacting L4 -> L5, we'll end up with one file that spans, massively, from [a, z). When we go to compact L5 -> L6, we'll have to rewrite all of L6! If, instead of range deletions in L4, we had keys a, b, x, y, and z, RocksDB would have been smart enough to create two files in L5: one for a and b and another for x, y, and z.
With the changes in this PR, it will be possible to adjust the compaction logic to split tombstones/start new output files when they would span too many files in the grandparent level.
ajkr please take a look when you have a minute!
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4014
Differential Revision: D8773253
Pulled By: ajkr
fbshipit-source-id: ec62fa85f648fdebe1380b83ed997f9baec35677
2018-07-12 21:28:10 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
const uint64_t current_entries = outputs.NumEntries();
|
|
|
|
|
Refactor, clean up, fixes, and more testing for SeqnoToTimeMapping (#11905)
Summary:
This change is before a planned DBImpl change to ensure all sufficiently recent sequence numbers since Open are covered by SeqnoToTimeMapping (bug fix with existing test work-arounds). **Intended follow-up**
However, I found enough issues with SeqnoToTimeMapping to warrant this PR first, including very small fixes in DB implementation related to API contract of SeqnoToTimeMapping.
Functional fixes / changes:
* This fixes some mishandling of boundary cases. For example, if the user decides to stop writing to DB, the last written sequence number would perpetually have its write time updated to "now" and would always be ineligible for migration to cold tier. Part of the problem is that the SeqnoToTimeMapping would return a seqno known to have been written before (immediately or otherwise) the requested time, but compaction_job.cc would include that seqno in the preserve/exclude set. That is fixed (in part) by adding one in compaction_job.cc
* That problem was worse because a whole range of seqnos could be updated perpetually with new times in SeqnoToTimeMapping::Append (if no writes to DB). That logic was apparently optimized for GetOldestApproximateTime (now GetProximalTimeBeforeSeqno), which is not used in production, to the detriment of GetOldestSequenceNum (now GetProximalSeqnoBeforeTime), which is used in production. (Perhaps plans changed during development?) This is fixed in Append to optimize for accuracy of GetProximalSeqnoBeforeTime. (Unit tests added and updated.)
* Related: SeqnoToTimeMapping did not have a clear contract about the relationships between seqnos and times, just the idea of a rough correspondence. Now the class description makes it clear that the write time of each recorded seqno comes before or at the associated time, to support getting best results for GetProximalSeqnoBeforeTime. And this makes it easier to make clear the contract of each API function.
* Update `DBImpl::RecordSeqnoToTimeMapping()` to follow this ordering in gathering samples.
Some part of these changes has required an expanded test work-around for the problem (see intended follow-up above) that the DB does not immediately ensure recent seqnos are covered by its mapping. These work-arounds will be removed with that planned work.
An apparent compaction bug is revealed in
PrecludeLastLevelTest::RangeDelsCauseFileEndpointsToOverlap, so that test is disabled. Filed GitHub issue #11909
Cosmetic / code safety things (not exhaustive):
* Fix some confusing names.
* `seqno_time_mapping` was used inconsistently in places. Now just `seqno_to_time_mapping` to correspond to class name.
* Rename confusing `GetOldestSequenceNum` -> `GetProximalSeqnoBeforeTime` and `GetOldestApproximateTime` -> `GetProximalTimeBeforeSeqno`. Part of the motivation is that our times and seqnos here have the same underlying type, so we want to be clear about which is expected where to avoid mixing.
* Rename `kUnknownSeqnoTime` to `kUnknownTimeBeforeAll` because the value is a bad choice for unknown if we ever add ProximalAfterBlah functions.
* Arithmetic on SeqnoTimePair doesn't make sense except for delta encoding, so use better names / APIs with that in mind.
* (OMG) Don't allow direct comparison between SeqnoTimePair and SequenceNumber. (There is no checking that it isn't compared against time by accident.)
* A field name essentially matching the containing class name is a confusing pattern (`seqno_time_mapping_`).
* Wrap calls to confusing (but useful) upper_bound and lower_bound functions to have clearer names and more code reuse.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11905
Test Plan: GetOldestSequenceNum (now GetProximalSeqnoBeforeTime) and TruncateOldEntries were lacking unit tests, despite both being used in production (experimental feature). Added those and expanded others.
Reviewed By: jowlyzhang
Differential Revision: D49755592
Pulled By: pdillinger
fbshipit-source-id: f72a3baac74d24b963c77e538bba89a7fc8dce51
2023-09-29 18:21:59 +00:00
|
|
|
s = outputs.Finish(s, seqno_to_time_mapping_);
|
Range deletion performance improvements + cleanup (#4014)
Summary:
This fixes the same performance issue that #3992 fixes but with much more invasive cleanup.
I'm more excited about this PR because it paves the way for fixing another problem we uncovered at Cockroach where range deletion tombstones can cause massive compactions. For example, suppose L4 contains deletions from [a, c) and [x, z) and no other keys, and L5 is entirely empty. L6, however, is full of data. When compacting L4 -> L5, we'll end up with one file that spans, massively, from [a, z). When we go to compact L5 -> L6, we'll have to rewrite all of L6! If, instead of range deletions in L4, we had keys a, b, x, y, and z, RocksDB would have been smart enough to create two files in L5: one for a and b and another for x, y, and z.
With the changes in this PR, it will be possible to adjust the compaction logic to split tombstones/start new output files when they would span too many files in the grandparent level.
ajkr please take a look when you have a minute!
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4014
Differential Revision: D8773253
Pulled By: ajkr
fbshipit-source-id: ec62fa85f648fdebe1380b83ed997f9baec35677
2018-07-12 21:28:10 +00:00
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|
|
|
2017-09-07 21:11:15 +00:00
|
|
|
if (s.ok()) {
|
Try to start TTL earlier with kMinOverlappingRatio is used (#8749)
Summary:
Right now, when options.ttl is set, compactions are triggered around the time when TTL is reached. This might cause extra compactions which are often bursty. This commit tries to mitigate it by picking those files earlier in normal compaction picking process. This is only implemented using kMinOverlappingRatio with Leveled compaction as it is the default value and it is more complicated to change other styles.
When a file is aged more than ttl/2, RocksDB starts to boost the compaction priority of files in normal compaction picking process, and hope by the time TTL is reached, very few extra compaction is needed.
In order for this to work, another change is made: during a compaction, if an output level file is older than ttl/2, cut output files based on original boundary (if it is not in the last level). This is to make sure that after an old file is moved to the next level, and new data is merged from the upper level, the new data falling into this range isn't reset with old timestamp. Without this change, in many cases, most files from one level will keep having old timestamp, even if they have newer data and we stuck in it.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8749
Test Plan: Add a unit test to test the boosting logic. Will add a unit test to test it end-to-end.
Reviewed By: jay-zhuang
Differential Revision: D30735261
fbshipit-source-id: 503c2d89250b22911eb99e72b379be154de3428e
2021-11-01 21:32:12 +00:00
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|
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// With accurate smallest and largest key, we can get a slightly more
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|
// accurate oldest ancester time.
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|
|
|
// This makes oldest ancester time in manifest more accurate than in
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|
|
// table properties. Not sure how to resolve it.
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|
|
|
if (meta->smallest.size() > 0 && meta->largest.size() > 0) {
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|
|
|
uint64_t refined_oldest_ancester_time;
|
|
|
|
Slice new_smallest = meta->smallest.user_key();
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|
|
|
Slice new_largest = meta->largest.user_key();
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|
|
|
if (!new_largest.empty() && !new_smallest.empty()) {
|
|
|
|
refined_oldest_ancester_time =
|
|
|
|
sub_compact->compaction->MinInputFileOldestAncesterTime(
|
|
|
|
&(meta->smallest), &(meta->largest));
|
2022-05-05 20:08:21 +00:00
|
|
|
if (refined_oldest_ancester_time !=
|
|
|
|
std::numeric_limits<uint64_t>::max()) {
|
Try to start TTL earlier with kMinOverlappingRatio is used (#8749)
Summary:
Right now, when options.ttl is set, compactions are triggered around the time when TTL is reached. This might cause extra compactions which are often bursty. This commit tries to mitigate it by picking those files earlier in normal compaction picking process. This is only implemented using kMinOverlappingRatio with Leveled compaction as it is the default value and it is more complicated to change other styles.
When a file is aged more than ttl/2, RocksDB starts to boost the compaction priority of files in normal compaction picking process, and hope by the time TTL is reached, very few extra compaction is needed.
In order for this to work, another change is made: during a compaction, if an output level file is older than ttl/2, cut output files based on original boundary (if it is not in the last level). This is to make sure that after an old file is moved to the next level, and new data is merged from the upper level, the new data falling into this range isn't reset with old timestamp. Without this change, in many cases, most files from one level will keep having old timestamp, even if they have newer data and we stuck in it.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8749
Test Plan: Add a unit test to test the boosting logic. Will add a unit test to test it end-to-end.
Reviewed By: jay-zhuang
Differential Revision: D30735261
fbshipit-source-id: 503c2d89250b22911eb99e72b379be154de3428e
2021-11-01 21:32:12 +00:00
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meta->oldest_ancester_time = refined_oldest_ancester_time;
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|
}
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|
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}
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}
|
2017-09-07 21:11:15 +00:00
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|
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}
|
2014-10-31 23:31:25 +00:00
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// Finish and check for file errors
|
2022-07-14 03:54:49 +00:00
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IOStatus io_s = outputs.WriterSyncClose(s, db_options_.clock, stats_,
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|
|
db_options_.use_fsync);
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|
2020-07-15 18:02:44 +00:00
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if (s.ok() && io_s.ok()) {
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2020-08-25 17:44:39 +00:00
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file_checksum = meta->file_checksum;
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file_checksum_func_name = meta->file_checksum_func_name;
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2020-03-29 22:57:02 +00:00
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|
|
}
|
2022-07-14 03:54:49 +00:00
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2020-07-15 18:02:44 +00:00
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if (s.ok()) {
|
Pass IOStatus to write path and set retryable IO Error as hard error in BG jobs (#6487)
Summary:
In the current code base, we use Status to get and store the returned status from the call. Specifically, for IO related functions, the current Status cannot reflect the IO Error details such as error scope, error retryable attribute, and others. With the implementation of https://github.com/facebook/rocksdb/issues/5761, we have the new Wrapper for IO, which returns IOStatus instead of Status. However, the IOStatus is purged at the lower level of write path and transferred to Status.
The first job of this PR is to pass the IOStatus to the write path (flush, WAL write, and Compaction). The second job is to identify the Retryable IO Error as HardError, and set the bg_error_ as HardError. In this case, the DB Instance becomes read only. User is informed of the Status and need to take actions to deal with it (e.g., call db->Resume()).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6487
Test Plan: Added the testing case to error_handler_fs_test. Pass make asan_check
Reviewed By: anand1976
Differential Revision: D20685017
Pulled By: zhichao-cao
fbshipit-source-id: ff85f042896243abcd6ef37877834e26f36b6eb0
2020-03-27 23:03:05 +00:00
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s = io_s;
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
2020-07-15 18:02:44 +00:00
|
|
|
if (sub_compact->io_status.ok()) {
|
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|
sub_compact->io_status = io_s;
|
2020-09-16 22:45:30 +00:00
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|
|
// Since this error is really a copy of the
|
|
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|
// "normal" status, it does not also need to be checked
|
|
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|
sub_compact->io_status.PermitUncheckedError();
|
2020-07-15 18:02:44 +00:00
|
|
|
}
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2018-06-27 03:18:43 +00:00
|
|
|
TableProperties tp;
|
|
|
|
if (s.ok()) {
|
2022-07-14 03:54:49 +00:00
|
|
|
tp = outputs.GetTableProperties();
|
2018-06-27 03:18:43 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
if (s.ok() && current_entries == 0 && tp.num_range_deletions == 0) {
|
2017-06-29 22:13:02 +00:00
|
|
|
// If there is nothing to output, no necessary to generate a sst file.
|
|
|
|
// This happens when the output level is bottom level, at the same time
|
|
|
|
// the sub_compact output nothing.
|
2018-04-13 00:55:14 +00:00
|
|
|
std::string fname =
|
2021-06-16 23:50:43 +00:00
|
|
|
TableFileName(sub_compact->compaction->immutable_options()->cf_paths,
|
2018-04-13 00:55:14 +00:00
|
|
|
meta->fd.GetNumber(), meta->fd.GetPathId());
|
2020-12-22 23:08:17 +00:00
|
|
|
|
|
|
|
// TODO(AR) it is not clear if there are any larger implications if
|
|
|
|
// DeleteFile fails here
|
|
|
|
Status ds = env_->DeleteFile(fname);
|
|
|
|
if (!ds.ok()) {
|
|
|
|
ROCKS_LOG_WARN(
|
|
|
|
db_options_.info_log,
|
|
|
|
"[%s] [JOB %d] Unable to remove SST file for table #%" PRIu64
|
|
|
|
" at bottom level%s",
|
|
|
|
cfd->GetName().c_str(), job_id_, output_number,
|
|
|
|
meta->marked_for_compaction ? " (need compaction)" : "");
|
|
|
|
}
|
2017-06-29 22:13:02 +00:00
|
|
|
|
|
|
|
// Also need to remove the file from outputs, or it will be added to the
|
|
|
|
// VersionEdit.
|
2022-07-14 03:54:49 +00:00
|
|
|
outputs.RemoveLastOutput();
|
2018-08-24 01:22:55 +00:00
|
|
|
meta = nullptr;
|
2017-06-29 22:13:02 +00:00
|
|
|
}
|
|
|
|
|
2018-06-27 03:18:43 +00:00
|
|
|
if (s.ok() && (current_entries > 0 || tp.num_range_deletions > 0)) {
|
Added EventListener::OnTableFileCreationStarted() callback
Summary: Added EventListener::OnTableFileCreationStarted. EventListener::OnTableFileCreated will be called on failure case. User can check creation status via TableFileCreationInfo::status.
Test Plan: unit test.
Reviewers: dhruba, yhchiang, ott, sdong
Reviewed By: sdong
Subscribers: sdong, kradhakrishnan, IslamAbdelRahman, andrewkr, yhchiang, leveldb, ott, dhruba
Differential Revision: https://reviews.facebook.net/D56337
2016-04-29 18:35:00 +00:00
|
|
|
// Output to event logger and fire events.
|
2022-07-14 03:54:49 +00:00
|
|
|
outputs.UpdateTableProperties();
|
2018-06-15 19:28:06 +00:00
|
|
|
ROCKS_LOG_INFO(db_options_.info_log,
|
|
|
|
"[%s] [JOB %d] Generated table #%" PRIu64 ": %" PRIu64
|
2022-07-14 03:54:49 +00:00
|
|
|
" keys, %" PRIu64 " bytes%s, temperature: %s",
|
2018-06-15 19:28:06 +00:00
|
|
|
cfd->GetName().c_str(), job_id_, output_number,
|
2022-07-14 03:54:49 +00:00
|
|
|
current_entries, meta->fd.file_size,
|
|
|
|
meta->marked_for_compaction ? " (need compaction)" : "",
|
|
|
|
temperature_to_string[meta->temperature].c_str());
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
2017-09-07 21:11:15 +00:00
|
|
|
std::string fname;
|
|
|
|
FileDescriptor output_fd;
|
2019-10-14 22:19:31 +00:00
|
|
|
uint64_t oldest_blob_file_number = kInvalidBlobFileNumber;
|
2022-02-01 19:06:57 +00:00
|
|
|
Status status_for_listener = s;
|
2017-09-07 21:11:15 +00:00
|
|
|
if (meta != nullptr) {
|
2021-04-22 20:01:00 +00:00
|
|
|
fname = GetTableFileName(meta->fd.GetNumber());
|
2017-09-07 21:11:15 +00:00
|
|
|
output_fd = meta->fd;
|
2019-10-14 22:19:31 +00:00
|
|
|
oldest_blob_file_number = meta->oldest_blob_file_number;
|
2017-09-07 21:11:15 +00:00
|
|
|
} else {
|
|
|
|
fname = "(nil)";
|
2022-02-01 19:06:57 +00:00
|
|
|
if (s.ok()) {
|
|
|
|
status_for_listener = Status::Aborted("Empty SST file not kept");
|
|
|
|
}
|
2017-09-07 21:11:15 +00:00
|
|
|
}
|
Added EventListener::OnTableFileCreationStarted() callback
Summary: Added EventListener::OnTableFileCreationStarted. EventListener::OnTableFileCreated will be called on failure case. User can check creation status via TableFileCreationInfo::status.
Test Plan: unit test.
Reviewers: dhruba, yhchiang, ott, sdong
Reviewed By: sdong
Subscribers: sdong, kradhakrishnan, IslamAbdelRahman, andrewkr, yhchiang, leveldb, ott, dhruba
Differential Revision: https://reviews.facebook.net/D56337
2016-04-29 18:35:00 +00:00
|
|
|
EventHelpers::LogAndNotifyTableFileCreationFinished(
|
|
|
|
event_logger_, cfd->ioptions()->listeners, dbname_, cfd->GetName(), fname,
|
2019-10-14 22:19:31 +00:00
|
|
|
job_id_, output_fd, oldest_blob_file_number, tp,
|
2022-02-01 19:06:57 +00:00
|
|
|
TableFileCreationReason::kCompaction, status_for_listener, file_checksum,
|
2020-08-25 17:44:39 +00:00
|
|
|
file_checksum_func_name);
|
2016-02-17 23:20:23 +00:00
|
|
|
|
|
|
|
// Report new file to SstFileManagerImpl
|
|
|
|
auto sfm =
|
|
|
|
static_cast<SstFileManagerImpl*>(db_options_.sst_file_manager.get());
|
2017-09-07 21:11:15 +00:00
|
|
|
if (sfm && meta != nullptr && meta->fd.GetPathId() == 0) {
|
2020-09-16 22:45:30 +00:00
|
|
|
Status add_s = sfm->OnAddFile(fname);
|
|
|
|
if (!add_s.ok() && s.ok()) {
|
|
|
|
s = add_s;
|
|
|
|
}
|
2016-02-17 23:20:23 +00:00
|
|
|
if (sfm->IsMaxAllowedSpaceReached()) {
|
2017-06-23 02:30:39 +00:00
|
|
|
// TODO(ajkr): should we return OK() if max space was reached by the final
|
|
|
|
// compaction output file (similarly to how flush works when full)?
|
2018-06-28 19:23:57 +00:00
|
|
|
s = Status::SpaceLimit("Max allowed space was reached");
|
2017-06-23 02:30:39 +00:00
|
|
|
TEST_SYNC_POINT(
|
2022-07-14 03:54:49 +00:00
|
|
|
"CompactionJob::FinishCompactionOutputFile:MaxAllowedSpaceReached");
|
2016-02-17 23:20:23 +00:00
|
|
|
InstrumentedMutexLock l(db_mutex_);
|
2020-12-08 04:09:55 +00:00
|
|
|
db_error_handler_->SetBGError(s, BackgroundErrorReason::kCompaction);
|
2016-02-17 23:20:23 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
outputs.ResetBuilder();
|
2014-10-31 23:31:25 +00:00
|
|
|
return s;
|
|
|
|
}
|
|
|
|
|
2015-05-06 02:01:12 +00:00
|
|
|
Status CompactionJob::InstallCompactionResults(
|
2023-09-18 20:11:53 +00:00
|
|
|
const MutableCFOptions& mutable_cf_options, bool* compaction_released) {
|
2020-10-26 20:50:03 +00:00
|
|
|
assert(compact_);
|
|
|
|
|
2016-02-17 23:20:23 +00:00
|
|
|
db_mutex_->AssertHeld();
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2023-04-21 16:07:18 +00:00
|
|
|
const ReadOptions read_options(Env::IOActivity::kCompaction);
|
Group SST write in flush, compaction and db open with new stats (#11910)
Summary:
## Context/Summary
Similar to https://github.com/facebook/rocksdb/pull/11288, https://github.com/facebook/rocksdb/pull/11444, categorizing SST/blob file write according to different io activities allows more insight into the activity.
For that, this PR does the following:
- Tag different write IOs by passing down and converting WriteOptions to IOOptions
- Add new SST_WRITE_MICROS histogram in WritableFileWriter::Append() and breakdown FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS
Some related code refactory to make implementation cleaner:
- Blob stats
- Replace high-level write measurement with low-level WritableFileWriter::Append() measurement for BLOB_DB_BLOB_FILE_WRITE_MICROS. This is to make FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS include blob file. As a consequence, this introduces some behavioral changes on it, see HISTORY and db bench test plan below for more info.
- Fix bugs where BLOB_DB_BLOB_FILE_SYNCED/BLOB_DB_BLOB_FILE_BYTES_WRITTEN include file failed to sync and bytes failed to write.
- Refactor WriteOptions constructor for easier construction with io_activity and rate_limiter_priority
- Refactor DBImpl::~DBImpl()/BlobDBImpl::Close() to bypass thread op verification
- Build table
- TableBuilderOptions now includes Read/WriteOpitons so BuildTable() do not need to take these two variables
- Replace the io_priority passed into BuildTable() with TableBuilderOptions::WriteOpitons::rate_limiter_priority. Similar for BlobFileBuilder.
This parameter is used for dynamically changing file io priority for flush, see https://github.com/facebook/rocksdb/pull/9988?fbclid=IwAR1DtKel6c-bRJAdesGo0jsbztRtciByNlvokbxkV6h_L-AE9MACzqRTT5s for more
- Update ThreadStatus::FLUSH_BYTES_WRITTEN to use io_activity to track flush IO in flush job and db open instead of io_priority
## Test
### db bench
Flush
```
./db_bench --statistics=1 --benchmarks=fillseq --num=100000 --write_buffer_size=100
rocksdb.sst.write.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.flush.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.db.open.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
```
compaction, db oopen
```
Setup: ./db_bench --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
rocksdb.sst.write.micros P50 : 2.675325 P95 : 9.578788 P99 : 18.780000 P100 : 314.000000 COUNT : 638 SUM : 3279
rocksdb.file.write.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.compaction.micros P50 : 2.757353 P95 : 9.610687 P99 : 19.316667 P100 : 314.000000 COUNT : 615 SUM : 3213
rocksdb.file.write.db.open.micros P50 : 2.055556 P95 : 3.925000 P99 : 9.000000 P100 : 9.000000 COUNT : 23 SUM : 66
```
blob stats - just to make sure they aren't broken by this PR
```
Integrated Blob DB
Setup: ./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 7.298246 P95 : 9.771930 P99 : 9.991813 P100 : 16.000000 COUNT : 235 SUM : 1600
rocksdb.blobdb.blob.file.synced COUNT : 1
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 2.000000 P95 : 2.829360 P99 : 2.993779 P100 : 9.000000 COUNT : 707 SUM : 1614
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 1 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 (stay the same)
```
```
Stacked Blob DB
Run: ./db_bench --use_blob_db=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 12.808042 P95 : 19.674497 P99 : 28.539683 P100 : 51.000000 COUNT : 10000 SUM : 140876
rocksdb.blobdb.blob.file.synced COUNT : 8
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 1.657370 P95 : 2.952175 P99 : 3.877519 P100 : 24.000000 COUNT : 30001 SUM : 67924
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 8 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 (stay the same)
```
### Rehearsal CI stress test
Trigger 3 full runs of all our CI stress tests
### Performance
Flush
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=ManualFlush/key_num:524288/per_key_size:256 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark; enable_statistics = true
Pre-pr: avg 507515519.3 ns
497686074,499444327,500862543,501389862,502994471,503744435,504142123,504224056,505724198,506610393,506837742,506955122,507695561,507929036,508307733,508312691,508999120,509963561,510142147,510698091,510743096,510769317,510957074,511053311,511371367,511409911,511432960,511642385,511691964,511730908,
Post-pr: avg 511971266.5 ns, regressed 0.88%
502744835,506502498,507735420,507929724,508313335,509548582,509994942,510107257,510715603,511046955,511352639,511458478,512117521,512317380,512766303,512972652,513059586,513804934,513808980,514059409,514187369,514389494,514447762,514616464,514622882,514641763,514666265,514716377,514990179,515502408,
```
Compaction
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_{pre|post}_pr --benchmark_filter=ManualCompaction/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 495346098.30 ns
492118301,493203526,494201411,494336607,495269217,495404950,496402598,497012157,497358370,498153846
Post-pr: avg 504528077.20, regressed 1.85%. "ManualCompaction" include flush so the isolated regression for compaction should be around 1.85-0.88 = 0.97%
502465338,502485945,502541789,502909283,503438601,504143885,506113087,506629423,507160414,507393007
```
Put with WAL (in case passing WriteOptions slows down this path even without collecting SST write stats)
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=DBPut/comp_style:0/max_data:107374182400/per_key_size:256/enable_statistics:1/wal:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 3848.10 ns
3814,3838,3839,3848,3854,3854,3854,3860,3860,3860
Post-pr: avg 3874.20 ns, regressed 0.68%
3863,3867,3871,3874,3875,3877,3877,3877,3880,3881
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11910
Reviewed By: ajkr
Differential Revision: D49788060
Pulled By: hx235
fbshipit-source-id: 79e73699cda5be3b66461687e5147c2484fc5eff
2023-12-29 23:29:23 +00:00
|
|
|
const WriteOptions write_options(Env::IOActivity::kCompaction);
|
|
|
|
|
options.level_compaction_dynamic_level_bytes to allow RocksDB to pick size bases of levels dynamically.
Summary:
When having fixed max_bytes_for_level_base, the ratio of size of largest level and the second one can range from 0 to the multiplier. This makes LSM tree frequently irregular and unpredictable. It can also cause poor space amplification in some cases.
In this improvement (proposed by Igor Kabiljo), we introduce a parameter option.level_compaction_use_dynamic_max_bytes. When turning it on, RocksDB is free to pick a level base in the range of (options.max_bytes_for_level_base/options.max_bytes_for_level_multiplier, options.max_bytes_for_level_base] so that real level ratios are close to options.max_bytes_for_level_multiplier.
Test Plan: New unit tests and pass tests suites including valgrind.
Reviewers: MarkCallaghan, rven, yhchiang, igor, ikabiljo
Reviewed By: ikabiljo
Subscribers: yoshinorim, ikabiljo, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D31437
2015-02-05 19:44:17 +00:00
|
|
|
auto* compaction = compact_->compaction;
|
2020-10-26 20:50:03 +00:00
|
|
|
assert(compaction);
|
|
|
|
|
options.level_compaction_dynamic_level_bytes to allow RocksDB to pick size bases of levels dynamically.
Summary:
When having fixed max_bytes_for_level_base, the ratio of size of largest level and the second one can range from 0 to the multiplier. This makes LSM tree frequently irregular and unpredictable. It can also cause poor space amplification in some cases.
In this improvement (proposed by Igor Kabiljo), we introduce a parameter option.level_compaction_use_dynamic_max_bytes. When turning it on, RocksDB is free to pick a level base in the range of (options.max_bytes_for_level_base/options.max_bytes_for_level_multiplier, options.max_bytes_for_level_base] so that real level ratios are close to options.max_bytes_for_level_multiplier.
Test Plan: New unit tests and pass tests suites including valgrind.
Reviewers: MarkCallaghan, rven, yhchiang, igor, ikabiljo
Reviewed By: ikabiljo
Subscribers: yoshinorim, ikabiljo, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D31437
2015-02-05 19:44:17 +00:00
|
|
|
{
|
|
|
|
Compaction::InputLevelSummaryBuffer inputs_summary;
|
2022-07-14 03:54:49 +00:00
|
|
|
if (compaction_stats_.has_penultimate_level_output) {
|
|
|
|
ROCKS_LOG_BUFFER(
|
|
|
|
log_buffer_,
|
|
|
|
"[%s] [JOB %d] Compacted %s => output_to_penultimate_level: %" PRIu64
|
|
|
|
" bytes + last: %" PRIu64 " bytes. Total: %" PRIu64 " bytes",
|
|
|
|
compaction->column_family_data()->GetName().c_str(), job_id_,
|
|
|
|
compaction->InputLevelSummary(&inputs_summary),
|
|
|
|
compaction_stats_.penultimate_level_stats.bytes_written,
|
|
|
|
compaction_stats_.stats.bytes_written,
|
|
|
|
compaction_stats_.TotalBytesWritten());
|
|
|
|
} else {
|
|
|
|
ROCKS_LOG_BUFFER(log_buffer_,
|
|
|
|
"[%s] [JOB %d] Compacted %s => %" PRIu64 " bytes",
|
|
|
|
compaction->column_family_data()->GetName().c_str(),
|
|
|
|
job_id_, compaction->InputLevelSummary(&inputs_summary),
|
|
|
|
compaction_stats_.TotalBytesWritten());
|
|
|
|
}
|
options.level_compaction_dynamic_level_bytes to allow RocksDB to pick size bases of levels dynamically.
Summary:
When having fixed max_bytes_for_level_base, the ratio of size of largest level and the second one can range from 0 to the multiplier. This makes LSM tree frequently irregular and unpredictable. It can also cause poor space amplification in some cases.
In this improvement (proposed by Igor Kabiljo), we introduce a parameter option.level_compaction_use_dynamic_max_bytes. When turning it on, RocksDB is free to pick a level base in the range of (options.max_bytes_for_level_base/options.max_bytes_for_level_multiplier, options.max_bytes_for_level_base] so that real level ratios are close to options.max_bytes_for_level_multiplier.
Test Plan: New unit tests and pass tests suites including valgrind.
Reviewers: MarkCallaghan, rven, yhchiang, igor, ikabiljo
Reviewed By: ikabiljo
Subscribers: yoshinorim, ikabiljo, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D31437
2015-02-05 19:44:17 +00:00
|
|
|
}
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2020-10-26 20:50:03 +00:00
|
|
|
VersionEdit* const edit = compaction->edit();
|
|
|
|
assert(edit);
|
|
|
|
|
2018-04-09 20:36:23 +00:00
|
|
|
// Add compaction inputs
|
2020-10-26 20:50:03 +00:00
|
|
|
compaction->AddInputDeletions(edit);
|
2015-08-18 18:06:23 +00:00
|
|
|
|
2021-06-24 23:11:07 +00:00
|
|
|
std::unordered_map<uint64_t, BlobGarbageMeter::BlobStats> blob_total_garbage;
|
|
|
|
|
2015-09-10 21:35:25 +00:00
|
|
|
for (const auto& sub_compact : compact_->sub_compact_states) {
|
2022-07-14 03:54:49 +00:00
|
|
|
sub_compact.AddOutputsEdit(edit);
|
2020-10-26 20:50:03 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
for (const auto& blob : sub_compact.Current().GetBlobFileAdditions()) {
|
2020-10-26 20:50:03 +00:00
|
|
|
edit->AddBlobFile(blob);
|
2015-08-18 18:06:23 +00:00
|
|
|
}
|
2021-06-24 23:11:07 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
if (sub_compact.Current().GetBlobGarbageMeter()) {
|
|
|
|
const auto& flows = sub_compact.Current().GetBlobGarbageMeter()->flows();
|
2021-06-24 23:11:07 +00:00
|
|
|
|
|
|
|
for (const auto& pair : flows) {
|
|
|
|
const uint64_t blob_file_number = pair.first;
|
|
|
|
const BlobGarbageMeter::BlobInOutFlow& flow = pair.second;
|
|
|
|
|
|
|
|
assert(flow.IsValid());
|
|
|
|
if (flow.HasGarbage()) {
|
|
|
|
blob_total_garbage[blob_file_number].Add(flow.GetGarbageCount(),
|
|
|
|
flow.GetGarbageBytes());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
for (const auto& pair : blob_total_garbage) {
|
|
|
|
const uint64_t blob_file_number = pair.first;
|
|
|
|
const BlobGarbageMeter::BlobStats& stats = pair.second;
|
|
|
|
|
|
|
|
edit->AddBlobFileGarbage(blob_file_number, stats.GetCount(),
|
|
|
|
stats.GetBytes());
|
options.level_compaction_dynamic_level_bytes to allow RocksDB to pick size bases of levels dynamically.
Summary:
When having fixed max_bytes_for_level_base, the ratio of size of largest level and the second one can range from 0 to the multiplier. This makes LSM tree frequently irregular and unpredictable. It can also cause poor space amplification in some cases.
In this improvement (proposed by Igor Kabiljo), we introduce a parameter option.level_compaction_use_dynamic_max_bytes. When turning it on, RocksDB is free to pick a level base in the range of (options.max_bytes_for_level_base/options.max_bytes_for_level_multiplier, options.max_bytes_for_level_base] so that real level ratios are close to options.max_bytes_for_level_multiplier.
Test Plan: New unit tests and pass tests suites including valgrind.
Reviewers: MarkCallaghan, rven, yhchiang, igor, ikabiljo
Reviewed By: ikabiljo
Subscribers: yoshinorim, ikabiljo, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D31437
2015-02-05 19:44:17 +00:00
|
|
|
}
|
2020-10-26 20:50:03 +00:00
|
|
|
|
2022-10-04 21:53:32 +00:00
|
|
|
if ((compaction->compaction_reason() ==
|
|
|
|
CompactionReason::kLevelMaxLevelSize ||
|
|
|
|
compaction->compaction_reason() == CompactionReason::kRoundRobinTtl) &&
|
2022-06-21 18:56:53 +00:00
|
|
|
compaction->immutable_options()->compaction_pri == kRoundRobin) {
|
|
|
|
int start_level = compaction->start_level();
|
|
|
|
if (start_level > 0) {
|
|
|
|
auto vstorage = compaction->input_version()->storage_info();
|
|
|
|
edit->AddCompactCursor(start_level,
|
Support subcmpct using reserved resources for round-robin priority (#10341)
Summary:
Earlier implementation of round-robin priority can only pick one file at a time and disallows parallel compactions within the same level. In this PR, round-robin compaction policy will expand towards more input files with respecting some additional constraints, which are summarized as follows:
* Constraint 1: We can only pick consecutive files
- Constraint 1a: When a file is being compacted (or some input files are being compacted after expanding), we cannot choose it and have to stop choosing more files
- Constraint 1b: When we reach the last file (with the largest keys), we cannot choose more files (the next file will be the first one with small keys)
* Constraint 2: We should ensure the total compaction bytes (including the overlapped files from the next level) is no more than `mutable_cf_options_.max_compaction_bytes`
* Constraint 3: We try our best to pick as many files as possible so that the post-compaction level size can be just less than `MaxBytesForLevel(start_level_)`
* Constraint 4: If trivial move is allowed, we reuse the logic of `TryNonL0TrivialMove()` instead of expanding files with Constraint 3
More details can be found in `LevelCompactionBuilder::SetupOtherFilesWithRoundRobinExpansion()`.
The above optimization accelerates the process of moving the compaction cursor, in which the write-amp can be further reduced. While a large compaction may lead to high write stall, we break this large compaction into several subcompactions **regardless of** the `max_subcompactions` limit. The number of subcompactions for round-robin compaction priority is determined through the following steps:
* Step 1: Initialized against `max_output_file_limit`, the number of input files in the start level, and also the range size limit `ranges.size()`
* Step 2: Call `AcquireSubcompactionResources()`when max subcompactions is not sufficient, but we may or may not obtain desired resources, additional number of resources is stored in `extra_num_subcompaction_threads_reserved_`). Subcompaction limit is changed and update `num_planned_subcompactions` with `GetSubcompactionLimit()`
* Step 3: Call `ShrinkSubcompactionResources()` to ensure extra resources can be released (extra resources may exist for round-robin compaction when the number of actual number of subcompactions is less than the number of planned subcompactions)
More details can be found in `CompactionJob::AcquireSubcompactionResources()`,`CompactionJob::ShrinkSubcompactionResources()`, and `CompactionJob::ReleaseSubcompactionResources()`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10341
Test Plan: Add `CompactionPriMultipleFilesRoundRobin[1-3]` unit test in `compaction_picker_test.cc` and `RoundRobinSubcompactionsAgainstResources.SubcompactionsUsingResources/[0-4]`, `RoundRobinSubcompactionsAgainstPressureToken.PressureTokenTest/[0-1]` in `db_compaction_test.cc`
Reviewed By: ajkr, hx235
Differential Revision: D37792644
Pulled By: littlepig2013
fbshipit-source-id: 7fecb7c4ffd97b34bbf6e3b760b2c35a772a0657
2022-07-24 18:12:44 +00:00
|
|
|
vstorage->GetNextCompactCursor(
|
|
|
|
start_level, compaction->num_input_files(0)));
|
2022-06-21 18:56:53 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2023-09-18 20:11:53 +00:00
|
|
|
auto manifest_wcb = [&compaction, &compaction_released](const Status& s) {
|
|
|
|
compaction->ReleaseCompactionFiles(s);
|
|
|
|
*compaction_released = true;
|
|
|
|
};
|
|
|
|
|
|
|
|
return versions_->LogAndApply(
|
Group SST write in flush, compaction and db open with new stats (#11910)
Summary:
## Context/Summary
Similar to https://github.com/facebook/rocksdb/pull/11288, https://github.com/facebook/rocksdb/pull/11444, categorizing SST/blob file write according to different io activities allows more insight into the activity.
For that, this PR does the following:
- Tag different write IOs by passing down and converting WriteOptions to IOOptions
- Add new SST_WRITE_MICROS histogram in WritableFileWriter::Append() and breakdown FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS
Some related code refactory to make implementation cleaner:
- Blob stats
- Replace high-level write measurement with low-level WritableFileWriter::Append() measurement for BLOB_DB_BLOB_FILE_WRITE_MICROS. This is to make FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS include blob file. As a consequence, this introduces some behavioral changes on it, see HISTORY and db bench test plan below for more info.
- Fix bugs where BLOB_DB_BLOB_FILE_SYNCED/BLOB_DB_BLOB_FILE_BYTES_WRITTEN include file failed to sync and bytes failed to write.
- Refactor WriteOptions constructor for easier construction with io_activity and rate_limiter_priority
- Refactor DBImpl::~DBImpl()/BlobDBImpl::Close() to bypass thread op verification
- Build table
- TableBuilderOptions now includes Read/WriteOpitons so BuildTable() do not need to take these two variables
- Replace the io_priority passed into BuildTable() with TableBuilderOptions::WriteOpitons::rate_limiter_priority. Similar for BlobFileBuilder.
This parameter is used for dynamically changing file io priority for flush, see https://github.com/facebook/rocksdb/pull/9988?fbclid=IwAR1DtKel6c-bRJAdesGo0jsbztRtciByNlvokbxkV6h_L-AE9MACzqRTT5s for more
- Update ThreadStatus::FLUSH_BYTES_WRITTEN to use io_activity to track flush IO in flush job and db open instead of io_priority
## Test
### db bench
Flush
```
./db_bench --statistics=1 --benchmarks=fillseq --num=100000 --write_buffer_size=100
rocksdb.sst.write.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.flush.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.db.open.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
```
compaction, db oopen
```
Setup: ./db_bench --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
rocksdb.sst.write.micros P50 : 2.675325 P95 : 9.578788 P99 : 18.780000 P100 : 314.000000 COUNT : 638 SUM : 3279
rocksdb.file.write.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.compaction.micros P50 : 2.757353 P95 : 9.610687 P99 : 19.316667 P100 : 314.000000 COUNT : 615 SUM : 3213
rocksdb.file.write.db.open.micros P50 : 2.055556 P95 : 3.925000 P99 : 9.000000 P100 : 9.000000 COUNT : 23 SUM : 66
```
blob stats - just to make sure they aren't broken by this PR
```
Integrated Blob DB
Setup: ./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 7.298246 P95 : 9.771930 P99 : 9.991813 P100 : 16.000000 COUNT : 235 SUM : 1600
rocksdb.blobdb.blob.file.synced COUNT : 1
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 2.000000 P95 : 2.829360 P99 : 2.993779 P100 : 9.000000 COUNT : 707 SUM : 1614
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 1 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 (stay the same)
```
```
Stacked Blob DB
Run: ./db_bench --use_blob_db=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 12.808042 P95 : 19.674497 P99 : 28.539683 P100 : 51.000000 COUNT : 10000 SUM : 140876
rocksdb.blobdb.blob.file.synced COUNT : 8
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 1.657370 P95 : 2.952175 P99 : 3.877519 P100 : 24.000000 COUNT : 30001 SUM : 67924
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 8 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 (stay the same)
```
### Rehearsal CI stress test
Trigger 3 full runs of all our CI stress tests
### Performance
Flush
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=ManualFlush/key_num:524288/per_key_size:256 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark; enable_statistics = true
Pre-pr: avg 507515519.3 ns
497686074,499444327,500862543,501389862,502994471,503744435,504142123,504224056,505724198,506610393,506837742,506955122,507695561,507929036,508307733,508312691,508999120,509963561,510142147,510698091,510743096,510769317,510957074,511053311,511371367,511409911,511432960,511642385,511691964,511730908,
Post-pr: avg 511971266.5 ns, regressed 0.88%
502744835,506502498,507735420,507929724,508313335,509548582,509994942,510107257,510715603,511046955,511352639,511458478,512117521,512317380,512766303,512972652,513059586,513804934,513808980,514059409,514187369,514389494,514447762,514616464,514622882,514641763,514666265,514716377,514990179,515502408,
```
Compaction
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_{pre|post}_pr --benchmark_filter=ManualCompaction/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 495346098.30 ns
492118301,493203526,494201411,494336607,495269217,495404950,496402598,497012157,497358370,498153846
Post-pr: avg 504528077.20, regressed 1.85%. "ManualCompaction" include flush so the isolated regression for compaction should be around 1.85-0.88 = 0.97%
502465338,502485945,502541789,502909283,503438601,504143885,506113087,506629423,507160414,507393007
```
Put with WAL (in case passing WriteOptions slows down this path even without collecting SST write stats)
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=DBPut/comp_style:0/max_data:107374182400/per_key_size:256/enable_statistics:1/wal:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 3848.10 ns
3814,3838,3839,3848,3854,3854,3854,3860,3860,3860
Post-pr: avg 3874.20 ns, regressed 0.68%
3863,3867,3871,3874,3875,3877,3877,3877,3880,3881
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11910
Reviewed By: ajkr
Differential Revision: D49788060
Pulled By: hx235
fbshipit-source-id: 79e73699cda5be3b66461687e5147c2484fc5eff
2023-12-29 23:29:23 +00:00
|
|
|
compaction->column_family_data(), mutable_cf_options, read_options,
|
|
|
|
write_options, edit, db_mutex_, db_directory_,
|
|
|
|
/*new_descriptor_log=*/false,
|
2023-09-18 20:11:53 +00:00
|
|
|
/*column_family_options=*/nullptr, manifest_wcb);
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
|
|
|
|
|
|
|
void CompactionJob::RecordCompactionIOStats() {
|
|
|
|
RecordTick(stats_, COMPACT_READ_BYTES, IOSTATS(bytes_read));
|
2020-07-29 20:38:07 +00:00
|
|
|
RecordTick(stats_, COMPACT_WRITE_BYTES, IOSTATS(bytes_written));
|
|
|
|
CompactionReason compaction_reason =
|
|
|
|
compact_->compaction->compaction_reason();
|
|
|
|
if (compaction_reason == CompactionReason::kFilesMarkedForCompaction) {
|
|
|
|
RecordTick(stats_, COMPACT_READ_BYTES_MARKED, IOSTATS(bytes_read));
|
|
|
|
RecordTick(stats_, COMPACT_WRITE_BYTES_MARKED, IOSTATS(bytes_written));
|
|
|
|
} else if (compaction_reason == CompactionReason::kPeriodicCompaction) {
|
|
|
|
RecordTick(stats_, COMPACT_READ_BYTES_PERIODIC, IOSTATS(bytes_read));
|
|
|
|
RecordTick(stats_, COMPACT_WRITE_BYTES_PERIODIC, IOSTATS(bytes_written));
|
|
|
|
} else if (compaction_reason == CompactionReason::kTtl) {
|
|
|
|
RecordTick(stats_, COMPACT_READ_BYTES_TTL, IOSTATS(bytes_read));
|
|
|
|
RecordTick(stats_, COMPACT_WRITE_BYTES_TTL, IOSTATS(bytes_written));
|
|
|
|
}
|
2015-05-07 05:50:35 +00:00
|
|
|
ThreadStatusUtil::IncreaseThreadOperationProperty(
|
|
|
|
ThreadStatus::COMPACTION_BYTES_READ, IOSTATS(bytes_read));
|
2014-10-31 23:31:25 +00:00
|
|
|
IOSTATS_RESET(bytes_read);
|
2015-05-07 05:50:35 +00:00
|
|
|
ThreadStatusUtil::IncreaseThreadOperationProperty(
|
|
|
|
ThreadStatus::COMPACTION_BYTES_WRITTEN, IOSTATS(bytes_written));
|
2014-10-31 23:31:25 +00:00
|
|
|
IOSTATS_RESET(bytes_written);
|
|
|
|
}
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
Status CompactionJob::OpenCompactionOutputFile(SubcompactionState* sub_compact,
|
|
|
|
CompactionOutputs& outputs) {
|
2015-08-18 18:06:23 +00:00
|
|
|
assert(sub_compact != nullptr);
|
2022-07-14 03:54:49 +00:00
|
|
|
|
2014-11-07 23:44:12 +00:00
|
|
|
// no need to lock because VersionSet::next_file_number_ is atomic
|
|
|
|
uint64_t file_number = versions_->NewFileNumber();
|
2021-04-22 20:01:00 +00:00
|
|
|
std::string fname = GetTableFileName(file_number);
|
Added EventListener::OnTableFileCreationStarted() callback
Summary: Added EventListener::OnTableFileCreationStarted. EventListener::OnTableFileCreated will be called on failure case. User can check creation status via TableFileCreationInfo::status.
Test Plan: unit test.
Reviewers: dhruba, yhchiang, ott, sdong
Reviewed By: sdong
Subscribers: sdong, kradhakrishnan, IslamAbdelRahman, andrewkr, yhchiang, leveldb, ott, dhruba
Differential Revision: https://reviews.facebook.net/D56337
2016-04-29 18:35:00 +00:00
|
|
|
// Fire events.
|
|
|
|
ColumnFamilyData* cfd = sub_compact->compaction->column_family_data();
|
|
|
|
EventHelpers::NotifyTableFileCreationStarted(
|
|
|
|
cfd->ioptions()->listeners, dbname_, cfd->GetName(), fname, job_id_,
|
|
|
|
TableFileCreationReason::kCompaction);
|
|
|
|
// Make the output file
|
Introduce a new storage specific Env API (#5761)
Summary:
The current Env API encompasses both storage/file operations, as well as OS related operations. Most of the APIs return a Status, which does not have enough metadata about an error, such as whether its retry-able or not, scope (i.e fault domain) of the error etc., that may be required in order to properly handle a storage error. The file APIs also do not provide enough control over the IO SLA, such as timeout, prioritization, hinting about placement and redundancy etc.
This PR separates out the file/storage APIs from Env into a new FileSystem class. The APIs are updated to return an IOStatus with metadata about the error, as well as to take an IOOptions structure as input in order to allow more control over the IO.
The user can set both ```options.env``` and ```options.file_system``` to specify that RocksDB should use the former for OS related operations and the latter for storage operations. Internally, a ```CompositeEnvWrapper``` has been introduced that inherits from ```Env``` and redirects individual methods to either an ```Env``` implementation or the ```FileSystem``` as appropriate. When options are sanitized during ```DB::Open```, ```options.env``` is replaced with a newly allocated ```CompositeEnvWrapper``` instance if both env and file_system have been specified. This way, the rest of the RocksDB code can continue to function as before.
This PR also ports PosixEnv to the new API by splitting it into two - PosixEnv and PosixFileSystem. PosixEnv is defined as a sub-class of CompositeEnvWrapper, and threading/time functions are overridden with Posix specific implementations in order to avoid an extra level of indirection.
The ```CompositeEnvWrapper``` translates ```IOStatus``` return code to ```Status```, and sets the severity to ```kSoftError``` if the io_status is retryable. The error handling code in RocksDB can then recover the DB automatically.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5761
Differential Revision: D18868376
Pulled By: anand1976
fbshipit-source-id: 39efe18a162ea746fabac6360ff529baba48486f
2019-12-13 22:47:08 +00:00
|
|
|
std::unique_ptr<FSWritableFile> writable_file;
|
2017-10-02 22:11:40 +00:00
|
|
|
#ifndef NDEBUG
|
Introduce a new storage specific Env API (#5761)
Summary:
The current Env API encompasses both storage/file operations, as well as OS related operations. Most of the APIs return a Status, which does not have enough metadata about an error, such as whether its retry-able or not, scope (i.e fault domain) of the error etc., that may be required in order to properly handle a storage error. The file APIs also do not provide enough control over the IO SLA, such as timeout, prioritization, hinting about placement and redundancy etc.
This PR separates out the file/storage APIs from Env into a new FileSystem class. The APIs are updated to return an IOStatus with metadata about the error, as well as to take an IOOptions structure as input in order to allow more control over the IO.
The user can set both ```options.env``` and ```options.file_system``` to specify that RocksDB should use the former for OS related operations and the latter for storage operations. Internally, a ```CompositeEnvWrapper``` has been introduced that inherits from ```Env``` and redirects individual methods to either an ```Env``` implementation or the ```FileSystem``` as appropriate. When options are sanitized during ```DB::Open```, ```options.env``` is replaced with a newly allocated ```CompositeEnvWrapper``` instance if both env and file_system have been specified. This way, the rest of the RocksDB code can continue to function as before.
This PR also ports PosixEnv to the new API by splitting it into two - PosixEnv and PosixFileSystem. PosixEnv is defined as a sub-class of CompositeEnvWrapper, and threading/time functions are overridden with Posix specific implementations in order to avoid an extra level of indirection.
The ```CompositeEnvWrapper``` translates ```IOStatus``` return code to ```Status```, and sets the severity to ```kSoftError``` if the io_status is retryable. The error handling code in RocksDB can then recover the DB automatically.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5761
Differential Revision: D18868376
Pulled By: anand1976
fbshipit-source-id: 39efe18a162ea746fabac6360ff529baba48486f
2019-12-13 22:47:08 +00:00
|
|
|
bool syncpoint_arg = file_options_.use_direct_writes;
|
2017-04-13 20:07:33 +00:00
|
|
|
TEST_SYNC_POINT_CALLBACK("CompactionJob::OpenCompactionOutputFile",
|
2017-09-28 00:37:08 +00:00
|
|
|
&syncpoint_arg);
|
2017-10-02 22:11:40 +00:00
|
|
|
#endif
|
2021-05-03 20:30:00 +00:00
|
|
|
|
2022-08-08 21:36:34 +00:00
|
|
|
// Pass temperature of the last level files to FileSystem.
|
2021-05-03 20:30:00 +00:00
|
|
|
FileOptions fo_copy = file_options_;
|
2021-08-09 19:50:19 +00:00
|
|
|
Temperature temperature = sub_compact->compaction->output_temperature();
|
2022-08-08 21:36:34 +00:00
|
|
|
// only set for the last level compaction and also it's not output to
|
|
|
|
// penultimate level (when preclude_last_level feature is enabled)
|
|
|
|
if (temperature == Temperature::kUnknown &&
|
|
|
|
sub_compact->compaction->is_last_level() &&
|
2022-07-14 03:54:49 +00:00
|
|
|
!sub_compact->IsCurrentPenultimateLevel()) {
|
2021-08-09 19:50:19 +00:00
|
|
|
temperature =
|
2022-08-08 21:36:34 +00:00
|
|
|
sub_compact->compaction->mutable_cf_options()->last_level_temperature;
|
2021-05-03 20:30:00 +00:00
|
|
|
}
|
2021-08-09 19:50:19 +00:00
|
|
|
fo_copy.temperature = temperature;
|
2021-05-03 20:30:00 +00:00
|
|
|
|
2020-07-15 18:02:44 +00:00
|
|
|
Status s;
|
2021-05-03 20:30:00 +00:00
|
|
|
IOStatus io_s = NewWritableFile(fs_.get(), fname, &writable_file, fo_copy);
|
2020-07-15 18:02:44 +00:00
|
|
|
s = io_s;
|
|
|
|
if (sub_compact->io_status.ok()) {
|
|
|
|
sub_compact->io_status = io_s;
|
2020-09-25 04:47:43 +00:00
|
|
|
// Since this error is really a copy of the io_s that is checked below as s,
|
|
|
|
// it does not also need to be checked.
|
|
|
|
sub_compact->io_status.PermitUncheckedError();
|
2020-07-15 18:02:44 +00:00
|
|
|
}
|
2014-10-31 23:31:25 +00:00
|
|
|
if (!s.ok()) {
|
2017-03-16 02:22:52 +00:00
|
|
|
ROCKS_LOG_ERROR(
|
|
|
|
db_options_.info_log,
|
2015-02-12 17:54:48 +00:00
|
|
|
"[%s] [JOB %d] OpenCompactionOutputFiles for table #%" PRIu64
|
2014-11-04 19:07:11 +00:00
|
|
|
" fails at NewWritableFile with status %s",
|
2015-08-18 18:06:23 +00:00
|
|
|
sub_compact->compaction->column_family_data()->GetName().c_str(),
|
|
|
|
job_id_, file_number, s.ToString().c_str());
|
2014-10-31 23:31:25 +00:00
|
|
|
LogFlush(db_options_.info_log);
|
Added EventListener::OnTableFileCreationStarted() callback
Summary: Added EventListener::OnTableFileCreationStarted. EventListener::OnTableFileCreated will be called on failure case. User can check creation status via TableFileCreationInfo::status.
Test Plan: unit test.
Reviewers: dhruba, yhchiang, ott, sdong
Reviewed By: sdong
Subscribers: sdong, kradhakrishnan, IslamAbdelRahman, andrewkr, yhchiang, leveldb, ott, dhruba
Differential Revision: https://reviews.facebook.net/D56337
2016-04-29 18:35:00 +00:00
|
|
|
EventHelpers::LogAndNotifyTableFileCreationFinished(
|
|
|
|
event_logger_, cfd->ioptions()->listeners, dbname_, cfd->GetName(),
|
2019-10-14 22:19:31 +00:00
|
|
|
fname, job_id_, FileDescriptor(), kInvalidBlobFileNumber,
|
2020-08-25 17:44:39 +00:00
|
|
|
TableProperties(), TableFileCreationReason::kCompaction, s,
|
|
|
|
kUnknownFileChecksum, kUnknownFileChecksumFuncName);
|
2014-10-31 23:31:25 +00:00
|
|
|
return s;
|
|
|
|
}
|
Added EventListener::OnTableFileCreationStarted() callback
Summary: Added EventListener::OnTableFileCreationStarted. EventListener::OnTableFileCreated will be called on failure case. User can check creation status via TableFileCreationInfo::status.
Test Plan: unit test.
Reviewers: dhruba, yhchiang, ott, sdong
Reviewed By: sdong
Subscribers: sdong, kradhakrishnan, IslamAbdelRahman, andrewkr, yhchiang, leveldb, ott, dhruba
Differential Revision: https://reviews.facebook.net/D56337
2016-04-29 18:35:00 +00:00
|
|
|
|
2019-11-23 00:01:21 +00:00
|
|
|
// Try to figure out the output file's oldest ancester time.
|
|
|
|
int64_t temp_current_time = 0;
|
2021-03-15 11:32:24 +00:00
|
|
|
auto get_time_status = db_options_.clock->GetCurrentTime(&temp_current_time);
|
2019-11-23 00:01:21 +00:00
|
|
|
// Safe to proceed even if GetCurrentTime fails. So, log and proceed.
|
|
|
|
if (!get_time_status.ok()) {
|
|
|
|
ROCKS_LOG_WARN(db_options_.info_log,
|
|
|
|
"Failed to get current time. Status: %s",
|
|
|
|
get_time_status.ToString().c_str());
|
|
|
|
}
|
|
|
|
uint64_t current_time = static_cast<uint64_t>(temp_current_time);
|
Try to start TTL earlier with kMinOverlappingRatio is used (#8749)
Summary:
Right now, when options.ttl is set, compactions are triggered around the time when TTL is reached. This might cause extra compactions which are often bursty. This commit tries to mitigate it by picking those files earlier in normal compaction picking process. This is only implemented using kMinOverlappingRatio with Leveled compaction as it is the default value and it is more complicated to change other styles.
When a file is aged more than ttl/2, RocksDB starts to boost the compaction priority of files in normal compaction picking process, and hope by the time TTL is reached, very few extra compaction is needed.
In order for this to work, another change is made: during a compaction, if an output level file is older than ttl/2, cut output files based on original boundary (if it is not in the last level). This is to make sure that after an old file is moved to the next level, and new data is merged from the upper level, the new data falling into this range isn't reset with old timestamp. Without this change, in many cases, most files from one level will keep having old timestamp, even if they have newer data and we stuck in it.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8749
Test Plan: Add a unit test to test the boosting logic. Will add a unit test to test it end-to-end.
Reviewed By: jay-zhuang
Differential Revision: D30735261
fbshipit-source-id: 503c2d89250b22911eb99e72b379be154de3428e
2021-11-01 21:32:12 +00:00
|
|
|
InternalKey tmp_start, tmp_end;
|
2022-07-24 00:38:49 +00:00
|
|
|
if (sub_compact->start.has_value()) {
|
2023-07-10 21:21:34 +00:00
|
|
|
tmp_start.SetMinPossibleForUserKey(*(sub_compact->start));
|
Try to start TTL earlier with kMinOverlappingRatio is used (#8749)
Summary:
Right now, when options.ttl is set, compactions are triggered around the time when TTL is reached. This might cause extra compactions which are often bursty. This commit tries to mitigate it by picking those files earlier in normal compaction picking process. This is only implemented using kMinOverlappingRatio with Leveled compaction as it is the default value and it is more complicated to change other styles.
When a file is aged more than ttl/2, RocksDB starts to boost the compaction priority of files in normal compaction picking process, and hope by the time TTL is reached, very few extra compaction is needed.
In order for this to work, another change is made: during a compaction, if an output level file is older than ttl/2, cut output files based on original boundary (if it is not in the last level). This is to make sure that after an old file is moved to the next level, and new data is merged from the upper level, the new data falling into this range isn't reset with old timestamp. Without this change, in many cases, most files from one level will keep having old timestamp, even if they have newer data and we stuck in it.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8749
Test Plan: Add a unit test to test the boosting logic. Will add a unit test to test it end-to-end.
Reviewed By: jay-zhuang
Differential Revision: D30735261
fbshipit-source-id: 503c2d89250b22911eb99e72b379be154de3428e
2021-11-01 21:32:12 +00:00
|
|
|
}
|
2022-07-24 00:38:49 +00:00
|
|
|
if (sub_compact->end.has_value()) {
|
2023-07-10 21:21:34 +00:00
|
|
|
tmp_end.SetMinPossibleForUserKey(*(sub_compact->end));
|
Try to start TTL earlier with kMinOverlappingRatio is used (#8749)
Summary:
Right now, when options.ttl is set, compactions are triggered around the time when TTL is reached. This might cause extra compactions which are often bursty. This commit tries to mitigate it by picking those files earlier in normal compaction picking process. This is only implemented using kMinOverlappingRatio with Leveled compaction as it is the default value and it is more complicated to change other styles.
When a file is aged more than ttl/2, RocksDB starts to boost the compaction priority of files in normal compaction picking process, and hope by the time TTL is reached, very few extra compaction is needed.
In order for this to work, another change is made: during a compaction, if an output level file is older than ttl/2, cut output files based on original boundary (if it is not in the last level). This is to make sure that after an old file is moved to the next level, and new data is merged from the upper level, the new data falling into this range isn't reset with old timestamp. Without this change, in many cases, most files from one level will keep having old timestamp, even if they have newer data and we stuck in it.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8749
Test Plan: Add a unit test to test the boosting logic. Will add a unit test to test it end-to-end.
Reviewed By: jay-zhuang
Differential Revision: D30735261
fbshipit-source-id: 503c2d89250b22911eb99e72b379be154de3428e
2021-11-01 21:32:12 +00:00
|
|
|
}
|
2019-11-23 00:01:21 +00:00
|
|
|
uint64_t oldest_ancester_time =
|
Try to start TTL earlier with kMinOverlappingRatio is used (#8749)
Summary:
Right now, when options.ttl is set, compactions are triggered around the time when TTL is reached. This might cause extra compactions which are often bursty. This commit tries to mitigate it by picking those files earlier in normal compaction picking process. This is only implemented using kMinOverlappingRatio with Leveled compaction as it is the default value and it is more complicated to change other styles.
When a file is aged more than ttl/2, RocksDB starts to boost the compaction priority of files in normal compaction picking process, and hope by the time TTL is reached, very few extra compaction is needed.
In order for this to work, another change is made: during a compaction, if an output level file is older than ttl/2, cut output files based on original boundary (if it is not in the last level). This is to make sure that after an old file is moved to the next level, and new data is merged from the upper level, the new data falling into this range isn't reset with old timestamp. Without this change, in many cases, most files from one level will keep having old timestamp, even if they have newer data and we stuck in it.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8749
Test Plan: Add a unit test to test the boosting logic. Will add a unit test to test it end-to-end.
Reviewed By: jay-zhuang
Differential Revision: D30735261
fbshipit-source-id: 503c2d89250b22911eb99e72b379be154de3428e
2021-11-01 21:32:12 +00:00
|
|
|
sub_compact->compaction->MinInputFileOldestAncesterTime(
|
2022-07-24 00:38:49 +00:00
|
|
|
sub_compact->start.has_value() ? &tmp_start : nullptr,
|
|
|
|
sub_compact->end.has_value() ? &tmp_end : nullptr);
|
2022-05-05 20:08:21 +00:00
|
|
|
if (oldest_ancester_time == std::numeric_limits<uint64_t>::max()) {
|
2023-11-17 18:50:40 +00:00
|
|
|
// TODO: fix DBSSTTest.GetTotalSstFilesSize and use
|
|
|
|
// kUnknownOldestAncesterTime
|
2019-11-23 00:01:21 +00:00
|
|
|
oldest_ancester_time = current_time;
|
|
|
|
}
|
|
|
|
|
|
|
|
// Initialize a SubcompactionState::Output and add it to sub_compact->outputs
|
Sort L0 files by newly introduced epoch_num (#10922)
Summary:
**Context:**
Sorting L0 files by `largest_seqno` has at least two inconvenience:
- File ingestion and compaction involving ingested files can create files of overlapping seqno range with the existing files. `force_consistency_check=true` will catch such overlap seqno range even those harmless overlap.
- For example, consider the following sequence of events ("key@n" indicates key at seqno "n")
- insert k1@1 to memtable m1
- ingest file s1 with k2@2, ingest file s2 with k3@3
- insert k4@4 to m1
- compact files s1, s2 and result in new file s3 of seqno range [2, 3]
- flush m1 and result in new file s4 of seqno range [1, 4]. And `force_consistency_check=true` will think s4 and s3 has file reordering corruption that might cause retuning an old value of k1
- However such caught corruption is a false positive since s1, s2 will not have overlapped keys with k1 or whatever inserted into m1 before ingest file s1 by the requirement of file ingestion (otherwise the m1 will be flushed first before any of the file ingestion completes). Therefore there in fact isn't any file reordering corruption.
- Single delete can decrease a file's largest seqno and ordering by `largest_seqno` can introduce a wrong ordering hence file reordering corruption
- For example, consider the following sequence of events ("key@n" indicates key at seqno "n", Credit to ajkr for this example)
- an existing SST s1 contains only k1@1
- insert k1@2 to memtable m1
- ingest file s2 with k3@3, ingest file s3 with k4@4
- insert single delete k5@5 in m1
- flush m1 and result in new file s4 of seqno range [2, 5]
- compact s1, s2, s3 and result in new file s5 of seqno range [1, 4]
- compact s4 and result in new file s6 of seqno range [2] due to single delete
- By the last step, we have file ordering by largest seqno (">" means "newer") : s5 > s6 while s6 contains a newer version of the k1's value (i.e, k1@2) than s5, which is a real reordering corruption. While this can be caught by `force_consistency_check=true`, there isn't a good way to prevent this from happening if ordering by `largest_seqno`
Therefore, we are redesigning the sorting criteria of L0 files and avoid above inconvenience. Credit to ajkr , we now introduce `epoch_num` which describes the order of a file being flushed or ingested/imported (compaction output file will has the minimum `epoch_num` among input files'). This will avoid the above inconvenience in the following ways:
- In the first case above, there will no longer be overlap seqno range check in `force_consistency_check=true` but `epoch_number` ordering check. This will result in file ordering s1 < s2 < s4 (pre-compaction) and s3 < s4 (post-compaction) which won't trigger false positive corruption. See test class `DBCompactionTestL0FilesMisorderCorruption*` for more.
- In the second case above, this will result in file ordering s1 < s2 < s3 < s4 (pre-compacting s1, s2, s3), s5 < s4 (post-compacting s1, s2, s3), s5 < s6 (post-compacting s4), which are correct file ordering without causing any corruption.
**Summary:**
- Introduce `epoch_number` stored per `ColumnFamilyData` and sort CF's L0 files by their assigned `epoch_number` instead of `largest_seqno`.
- `epoch_number` is increased and assigned upon `VersionEdit::AddFile()` for flush (or similarly for WriteLevel0TableForRecovery) and file ingestion (except for allow_behind_true, which will always get assigned as the `kReservedEpochNumberForFileIngestedBehind`)
- Compaction output file is assigned with the minimum `epoch_number` among input files'
- Refit level: reuse refitted file's epoch_number
- Other paths needing `epoch_number` treatment:
- Import column families: reuse file's epoch_number if exists. If not, assign one based on `NewestFirstBySeqNo`
- Repair: reuse file's epoch_number if exists. If not, assign one based on `NewestFirstBySeqNo`.
- Assigning new epoch_number to a file and adding this file to LSM tree should be atomic. This is guaranteed by us assigning epoch_number right upon `VersionEdit::AddFile()` where this version edit will be apply to LSM tree shape right after by holding the db mutex (e.g, flush, file ingestion, import column family) or by there is only 1 ongoing edit per CF (e.g, WriteLevel0TableForRecovery, Repair).
- Assigning the minimum input epoch number to compaction output file won't misorder L0 files (even through later `Refit(target_level=0)`). It's due to for every key "k" in the input range, a legit compaction will cover a continuous epoch number range of that key. As long as we assign the key "k" the minimum input epoch number, it won't become newer or older than the versions of this key that aren't included in this compaction hence no misorder.
- Persist `epoch_number` of each file in manifest and recover `epoch_number` on db recovery
- Backward compatibility with old db without `epoch_number` support is guaranteed by assigning `epoch_number` to recovered files by `NewestFirstBySeqno` order. See `VersionStorageInfo::RecoverEpochNumbers()` for more
- Forward compatibility with manifest is guaranteed by flexibility of `NewFileCustomTag`
- Replace `force_consistent_check` on L0 with `epoch_number` and remove false positive check like case 1 with `largest_seqno` above
- Due to backward compatibility issue, we might encounter files with missing epoch number at the beginning of db recovery. We will still use old L0 sorting mechanism (`NewestFirstBySeqno`) to check/sort them till we infer their epoch number. See usages of `EpochNumberRequirement`.
- Remove fix https://github.com/facebook/rocksdb/pull/5958#issue-511150930 and their outdated tests to file reordering corruption because such fix can be replaced by this PR.
- Misc:
- update existing tests with `epoch_number` so make check will pass
- update https://github.com/facebook/rocksdb/pull/5958#issue-511150930 tests to verify corruption is fixed using `epoch_number` and cover universal/fifo compaction/CompactRange/CompactFile cases
- assert db_mutex is held for a few places before calling ColumnFamilyData::NewEpochNumber()
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10922
Test Plan:
- `make check`
- New unit tests under `db/db_compaction_test.cc`, `db/db_test2.cc`, `db/version_builder_test.cc`, `db/repair_test.cc`
- Updated tests (i.e, `DBCompactionTestL0FilesMisorderCorruption*`) under https://github.com/facebook/rocksdb/pull/5958#issue-511150930
- [Ongoing] Compatibility test: manually run https://github.com/ajkr/rocksdb/commit/36a5686ec012f35a4371e409aa85c404ca1c210d (with file ingestion off for running the `.orig` binary to prevent this bug affecting upgrade/downgrade formality checking) for 1 hour on `simple black/white box`, `cf_consistency/txn/enable_ts with whitebox + test_best_efforts_recovery with blackbox`
- [Ongoing] normal db stress test
- [Ongoing] db stress test with aggressive value https://github.com/facebook/rocksdb/pull/10761
Reviewed By: ajkr
Differential Revision: D41063187
Pulled By: hx235
fbshipit-source-id: 826cb23455de7beaabe2d16c57682a82733a32a9
2022-12-13 21:29:37 +00:00
|
|
|
uint64_t epoch_number = sub_compact->compaction->MinInputFileEpochNumber();
|
2019-11-23 00:01:21 +00:00
|
|
|
{
|
2020-10-01 17:08:52 +00:00
|
|
|
FileMetaData meta;
|
|
|
|
meta.fd = FileDescriptor(file_number,
|
|
|
|
sub_compact->compaction->output_path_id(), 0);
|
|
|
|
meta.oldest_ancester_time = oldest_ancester_time;
|
|
|
|
meta.file_creation_time = current_time;
|
Sort L0 files by newly introduced epoch_num (#10922)
Summary:
**Context:**
Sorting L0 files by `largest_seqno` has at least two inconvenience:
- File ingestion and compaction involving ingested files can create files of overlapping seqno range with the existing files. `force_consistency_check=true` will catch such overlap seqno range even those harmless overlap.
- For example, consider the following sequence of events ("key@n" indicates key at seqno "n")
- insert k1@1 to memtable m1
- ingest file s1 with k2@2, ingest file s2 with k3@3
- insert k4@4 to m1
- compact files s1, s2 and result in new file s3 of seqno range [2, 3]
- flush m1 and result in new file s4 of seqno range [1, 4]. And `force_consistency_check=true` will think s4 and s3 has file reordering corruption that might cause retuning an old value of k1
- However such caught corruption is a false positive since s1, s2 will not have overlapped keys with k1 or whatever inserted into m1 before ingest file s1 by the requirement of file ingestion (otherwise the m1 will be flushed first before any of the file ingestion completes). Therefore there in fact isn't any file reordering corruption.
- Single delete can decrease a file's largest seqno and ordering by `largest_seqno` can introduce a wrong ordering hence file reordering corruption
- For example, consider the following sequence of events ("key@n" indicates key at seqno "n", Credit to ajkr for this example)
- an existing SST s1 contains only k1@1
- insert k1@2 to memtable m1
- ingest file s2 with k3@3, ingest file s3 with k4@4
- insert single delete k5@5 in m1
- flush m1 and result in new file s4 of seqno range [2, 5]
- compact s1, s2, s3 and result in new file s5 of seqno range [1, 4]
- compact s4 and result in new file s6 of seqno range [2] due to single delete
- By the last step, we have file ordering by largest seqno (">" means "newer") : s5 > s6 while s6 contains a newer version of the k1's value (i.e, k1@2) than s5, which is a real reordering corruption. While this can be caught by `force_consistency_check=true`, there isn't a good way to prevent this from happening if ordering by `largest_seqno`
Therefore, we are redesigning the sorting criteria of L0 files and avoid above inconvenience. Credit to ajkr , we now introduce `epoch_num` which describes the order of a file being flushed or ingested/imported (compaction output file will has the minimum `epoch_num` among input files'). This will avoid the above inconvenience in the following ways:
- In the first case above, there will no longer be overlap seqno range check in `force_consistency_check=true` but `epoch_number` ordering check. This will result in file ordering s1 < s2 < s4 (pre-compaction) and s3 < s4 (post-compaction) which won't trigger false positive corruption. See test class `DBCompactionTestL0FilesMisorderCorruption*` for more.
- In the second case above, this will result in file ordering s1 < s2 < s3 < s4 (pre-compacting s1, s2, s3), s5 < s4 (post-compacting s1, s2, s3), s5 < s6 (post-compacting s4), which are correct file ordering without causing any corruption.
**Summary:**
- Introduce `epoch_number` stored per `ColumnFamilyData` and sort CF's L0 files by their assigned `epoch_number` instead of `largest_seqno`.
- `epoch_number` is increased and assigned upon `VersionEdit::AddFile()` for flush (or similarly for WriteLevel0TableForRecovery) and file ingestion (except for allow_behind_true, which will always get assigned as the `kReservedEpochNumberForFileIngestedBehind`)
- Compaction output file is assigned with the minimum `epoch_number` among input files'
- Refit level: reuse refitted file's epoch_number
- Other paths needing `epoch_number` treatment:
- Import column families: reuse file's epoch_number if exists. If not, assign one based on `NewestFirstBySeqNo`
- Repair: reuse file's epoch_number if exists. If not, assign one based on `NewestFirstBySeqNo`.
- Assigning new epoch_number to a file and adding this file to LSM tree should be atomic. This is guaranteed by us assigning epoch_number right upon `VersionEdit::AddFile()` where this version edit will be apply to LSM tree shape right after by holding the db mutex (e.g, flush, file ingestion, import column family) or by there is only 1 ongoing edit per CF (e.g, WriteLevel0TableForRecovery, Repair).
- Assigning the minimum input epoch number to compaction output file won't misorder L0 files (even through later `Refit(target_level=0)`). It's due to for every key "k" in the input range, a legit compaction will cover a continuous epoch number range of that key. As long as we assign the key "k" the minimum input epoch number, it won't become newer or older than the versions of this key that aren't included in this compaction hence no misorder.
- Persist `epoch_number` of each file in manifest and recover `epoch_number` on db recovery
- Backward compatibility with old db without `epoch_number` support is guaranteed by assigning `epoch_number` to recovered files by `NewestFirstBySeqno` order. See `VersionStorageInfo::RecoverEpochNumbers()` for more
- Forward compatibility with manifest is guaranteed by flexibility of `NewFileCustomTag`
- Replace `force_consistent_check` on L0 with `epoch_number` and remove false positive check like case 1 with `largest_seqno` above
- Due to backward compatibility issue, we might encounter files with missing epoch number at the beginning of db recovery. We will still use old L0 sorting mechanism (`NewestFirstBySeqno`) to check/sort them till we infer their epoch number. See usages of `EpochNumberRequirement`.
- Remove fix https://github.com/facebook/rocksdb/pull/5958#issue-511150930 and their outdated tests to file reordering corruption because such fix can be replaced by this PR.
- Misc:
- update existing tests with `epoch_number` so make check will pass
- update https://github.com/facebook/rocksdb/pull/5958#issue-511150930 tests to verify corruption is fixed using `epoch_number` and cover universal/fifo compaction/CompactRange/CompactFile cases
- assert db_mutex is held for a few places before calling ColumnFamilyData::NewEpochNumber()
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10922
Test Plan:
- `make check`
- New unit tests under `db/db_compaction_test.cc`, `db/db_test2.cc`, `db/version_builder_test.cc`, `db/repair_test.cc`
- Updated tests (i.e, `DBCompactionTestL0FilesMisorderCorruption*`) under https://github.com/facebook/rocksdb/pull/5958#issue-511150930
- [Ongoing] Compatibility test: manually run https://github.com/ajkr/rocksdb/commit/36a5686ec012f35a4371e409aa85c404ca1c210d (with file ingestion off for running the `.orig` binary to prevent this bug affecting upgrade/downgrade formality checking) for 1 hour on `simple black/white box`, `cf_consistency/txn/enable_ts with whitebox + test_best_efforts_recovery with blackbox`
- [Ongoing] normal db stress test
- [Ongoing] db stress test with aggressive value https://github.com/facebook/rocksdb/pull/10761
Reviewed By: ajkr
Differential Revision: D41063187
Pulled By: hx235
fbshipit-source-id: 826cb23455de7beaabe2d16c57682a82733a32a9
2022-12-13 21:29:37 +00:00
|
|
|
meta.epoch_number = epoch_number;
|
2021-05-17 22:14:34 +00:00
|
|
|
meta.temperature = temperature;
|
2022-05-19 18:04:21 +00:00
|
|
|
assert(!db_id_.empty());
|
|
|
|
assert(!db_session_id_.empty());
|
|
|
|
s = GetSstInternalUniqueId(db_id_, db_session_id_, meta.fd.GetNumber(),
|
|
|
|
&meta.unique_id);
|
|
|
|
if (!s.ok()) {
|
|
|
|
ROCKS_LOG_ERROR(db_options_.info_log,
|
|
|
|
"[%s] [JOB %d] file #%" PRIu64
|
|
|
|
" failed to generate unique id: %s.",
|
|
|
|
cfd->GetName().c_str(), job_id_, meta.fd.GetNumber(),
|
|
|
|
s.ToString().c_str());
|
|
|
|
return s;
|
|
|
|
}
|
2022-07-14 03:54:49 +00:00
|
|
|
|
|
|
|
outputs.AddOutput(std::move(meta), cfd->internal_comparator(),
|
|
|
|
sub_compact->compaction->mutable_cf_options()
|
|
|
|
->check_flush_compaction_key_order,
|
|
|
|
paranoid_file_checks_);
|
2019-11-23 00:01:21 +00:00
|
|
|
}
|
2014-10-31 23:31:25 +00:00
|
|
|
|
Set Write rate limiter priority dynamically and pass it to FS (#9988)
Summary:
### Context:
Background compactions and flush generate large reads and writes, and can be long running, especially for universal compaction. In some cases, this can impact foreground reads and writes by users.
From the RocksDB perspective, there can be two kinds of rate limiters, the internal (native) one and the external one.
- The internal (native) rate limiter is introduced in [the wiki](https://github.com/facebook/rocksdb/wiki/Rate-Limiter). Currently, only IO_LOW and IO_HIGH are used and they are set statically.
- For the external rate limiter, in FSWritableFile functions, IOOptions is open for end users to set and get rate_limiter_priority for their own rate limiter. Currently, RocksDB doesn’t pass the rate_limiter_priority through IOOptions to the file system.
### Solution
During the User Read, Flush write, Compaction read/write, the WriteController is used to determine whether DB writes are stalled or slowed down. The rate limiter priority (Env::IOPriority) can be determined accordingly. We decided to always pass the priority in IOOptions. What the file system does with it should be a contract between the user and the file system. We would like to set the rate limiter priority at file level, since the Flush/Compaction job level may be too coarse with multiple files and block IO level is too granular.
**This PR is for the Write path.** The **Write:** dynamic priority for different state are listed as follows:
| State | Normal | Delayed | Stalled |
| ----- | ------ | ------- | ------- |
| Flush | IO_HIGH | IO_USER | IO_USER |
| Compaction | IO_LOW | IO_USER | IO_USER |
Flush and Compaction writes share the same call path through BlockBaseTableWriter, WritableFileWriter, and FSWritableFile. When a new FSWritableFile object is created, its io_priority_ can be set dynamically based on the state of the WriteController. In WritableFileWriter, before the call sites of FSWritableFile functions, WritableFileWriter::DecideRateLimiterPriority() determines the rate_limiter_priority. The options (IOOptions) argument of FSWritableFile functions will be updated with the rate_limiter_priority.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9988
Test Plan: Add unit tests.
Reviewed By: anand1976
Differential Revision: D36395159
Pulled By: gitbw95
fbshipit-source-id: a7c82fc29759139a1a07ec46c37dbf7e753474cf
2022-05-18 07:41:41 +00:00
|
|
|
writable_file->SetIOPriority(GetRateLimiterPriority());
|
2017-11-10 17:25:26 +00:00
|
|
|
writable_file->SetWriteLifeTimeHint(write_hint_);
|
2021-02-11 06:18:33 +00:00
|
|
|
FileTypeSet tmp_set = db_options_.checksum_handoff_file_types;
|
2015-08-18 18:06:23 +00:00
|
|
|
writable_file->SetPreallocationBlockSize(static_cast<size_t>(
|
|
|
|
sub_compact->compaction->OutputFilePreallocationSize()));
|
2018-10-13 01:34:03 +00:00
|
|
|
const auto& listeners =
|
2021-06-16 23:50:43 +00:00
|
|
|
sub_compact->compaction->immutable_options()->listeners;
|
2022-07-14 03:54:49 +00:00
|
|
|
outputs.AssignFileWriter(new WritableFileWriter(
|
2022-02-18 18:26:45 +00:00
|
|
|
std::move(writable_file), fname, fo_copy, db_options_.clock, io_tracer_,
|
Group SST write in flush, compaction and db open with new stats (#11910)
Summary:
## Context/Summary
Similar to https://github.com/facebook/rocksdb/pull/11288, https://github.com/facebook/rocksdb/pull/11444, categorizing SST/blob file write according to different io activities allows more insight into the activity.
For that, this PR does the following:
- Tag different write IOs by passing down and converting WriteOptions to IOOptions
- Add new SST_WRITE_MICROS histogram in WritableFileWriter::Append() and breakdown FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS
Some related code refactory to make implementation cleaner:
- Blob stats
- Replace high-level write measurement with low-level WritableFileWriter::Append() measurement for BLOB_DB_BLOB_FILE_WRITE_MICROS. This is to make FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS include blob file. As a consequence, this introduces some behavioral changes on it, see HISTORY and db bench test plan below for more info.
- Fix bugs where BLOB_DB_BLOB_FILE_SYNCED/BLOB_DB_BLOB_FILE_BYTES_WRITTEN include file failed to sync and bytes failed to write.
- Refactor WriteOptions constructor for easier construction with io_activity and rate_limiter_priority
- Refactor DBImpl::~DBImpl()/BlobDBImpl::Close() to bypass thread op verification
- Build table
- TableBuilderOptions now includes Read/WriteOpitons so BuildTable() do not need to take these two variables
- Replace the io_priority passed into BuildTable() with TableBuilderOptions::WriteOpitons::rate_limiter_priority. Similar for BlobFileBuilder.
This parameter is used for dynamically changing file io priority for flush, see https://github.com/facebook/rocksdb/pull/9988?fbclid=IwAR1DtKel6c-bRJAdesGo0jsbztRtciByNlvokbxkV6h_L-AE9MACzqRTT5s for more
- Update ThreadStatus::FLUSH_BYTES_WRITTEN to use io_activity to track flush IO in flush job and db open instead of io_priority
## Test
### db bench
Flush
```
./db_bench --statistics=1 --benchmarks=fillseq --num=100000 --write_buffer_size=100
rocksdb.sst.write.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.flush.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.db.open.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
```
compaction, db oopen
```
Setup: ./db_bench --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
rocksdb.sst.write.micros P50 : 2.675325 P95 : 9.578788 P99 : 18.780000 P100 : 314.000000 COUNT : 638 SUM : 3279
rocksdb.file.write.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.compaction.micros P50 : 2.757353 P95 : 9.610687 P99 : 19.316667 P100 : 314.000000 COUNT : 615 SUM : 3213
rocksdb.file.write.db.open.micros P50 : 2.055556 P95 : 3.925000 P99 : 9.000000 P100 : 9.000000 COUNT : 23 SUM : 66
```
blob stats - just to make sure they aren't broken by this PR
```
Integrated Blob DB
Setup: ./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 7.298246 P95 : 9.771930 P99 : 9.991813 P100 : 16.000000 COUNT : 235 SUM : 1600
rocksdb.blobdb.blob.file.synced COUNT : 1
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 2.000000 P95 : 2.829360 P99 : 2.993779 P100 : 9.000000 COUNT : 707 SUM : 1614
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 1 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 (stay the same)
```
```
Stacked Blob DB
Run: ./db_bench --use_blob_db=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 12.808042 P95 : 19.674497 P99 : 28.539683 P100 : 51.000000 COUNT : 10000 SUM : 140876
rocksdb.blobdb.blob.file.synced COUNT : 8
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 1.657370 P95 : 2.952175 P99 : 3.877519 P100 : 24.000000 COUNT : 30001 SUM : 67924
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 8 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 (stay the same)
```
### Rehearsal CI stress test
Trigger 3 full runs of all our CI stress tests
### Performance
Flush
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=ManualFlush/key_num:524288/per_key_size:256 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark; enable_statistics = true
Pre-pr: avg 507515519.3 ns
497686074,499444327,500862543,501389862,502994471,503744435,504142123,504224056,505724198,506610393,506837742,506955122,507695561,507929036,508307733,508312691,508999120,509963561,510142147,510698091,510743096,510769317,510957074,511053311,511371367,511409911,511432960,511642385,511691964,511730908,
Post-pr: avg 511971266.5 ns, regressed 0.88%
502744835,506502498,507735420,507929724,508313335,509548582,509994942,510107257,510715603,511046955,511352639,511458478,512117521,512317380,512766303,512972652,513059586,513804934,513808980,514059409,514187369,514389494,514447762,514616464,514622882,514641763,514666265,514716377,514990179,515502408,
```
Compaction
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_{pre|post}_pr --benchmark_filter=ManualCompaction/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 495346098.30 ns
492118301,493203526,494201411,494336607,495269217,495404950,496402598,497012157,497358370,498153846
Post-pr: avg 504528077.20, regressed 1.85%. "ManualCompaction" include flush so the isolated regression for compaction should be around 1.85-0.88 = 0.97%
502465338,502485945,502541789,502909283,503438601,504143885,506113087,506629423,507160414,507393007
```
Put with WAL (in case passing WriteOptions slows down this path even without collecting SST write stats)
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=DBPut/comp_style:0/max_data:107374182400/per_key_size:256/enable_statistics:1/wal:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 3848.10 ns
3814,3838,3839,3848,3854,3854,3854,3860,3860,3860
Post-pr: avg 3874.20 ns, regressed 0.68%
3863,3867,3871,3874,3875,3877,3877,3877,3880,3881
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11910
Reviewed By: ajkr
Differential Revision: D49788060
Pulled By: hx235
fbshipit-source-id: 79e73699cda5be3b66461687e5147c2484fc5eff
2023-12-29 23:29:23 +00:00
|
|
|
db_options_.stats, Histograms::SST_WRITE_MICROS, listeners,
|
|
|
|
db_options_.file_checksum_gen_factory.get(),
|
Using existing crc32c checksum in checksum handoff for Manifest and WAL (#8412)
Summary:
In PR https://github.com/facebook/rocksdb/issues/7523 , checksum handoff is introduced in RocksDB for WAL, Manifest, and SST files. When user enable checksum handoff for a certain type of file, before the data is written to the lower layer storage system, we calculate the checksum (crc32c) of each piece of data and pass the checksum down with the data, such that data verification can be down by the lower layer storage system if it has the capability. However, it cannot cover the whole lifetime of the data in the memory and also it potentially introduces extra checksum calculation overhead.
In this PR, we introduce a new interface in WritableFileWriter::Append, which allows the caller be able to pass the data and the checksum (crc32c) together. In this way, WritableFileWriter can directly use the pass-in checksum (crc32c) to generate the checksum of data being passed down to the storage system. It saves the calculation overhead and achieves higher protection coverage. When a new checksum is added with the data, we use Crc32cCombine https://github.com/facebook/rocksdb/issues/8305 to combine the existing checksum and the new checksum. To avoid the segmenting of data by rate-limiter before it is stored, rate-limiter is called enough times to accumulate enough credits for a certain write. This design only support Manifest and WAL which use log_writer in the current stage.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8412
Test Plan: make check, add new testing cases.
Reviewed By: anand1976
Differential Revision: D29151545
Pulled By: zhichao-cao
fbshipit-source-id: 75e2278c5126cfd58393c67b1efd18dcc7a30772
2021-06-25 07:46:33 +00:00
|
|
|
tmp_set.Contains(FileType::kTableFile), false));
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2023-10-04 21:42:35 +00:00
|
|
|
// TODO(hx235): pass in the correct `oldest_key_time` instead of `0`
|
Group SST write in flush, compaction and db open with new stats (#11910)
Summary:
## Context/Summary
Similar to https://github.com/facebook/rocksdb/pull/11288, https://github.com/facebook/rocksdb/pull/11444, categorizing SST/blob file write according to different io activities allows more insight into the activity.
For that, this PR does the following:
- Tag different write IOs by passing down and converting WriteOptions to IOOptions
- Add new SST_WRITE_MICROS histogram in WritableFileWriter::Append() and breakdown FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS
Some related code refactory to make implementation cleaner:
- Blob stats
- Replace high-level write measurement with low-level WritableFileWriter::Append() measurement for BLOB_DB_BLOB_FILE_WRITE_MICROS. This is to make FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS include blob file. As a consequence, this introduces some behavioral changes on it, see HISTORY and db bench test plan below for more info.
- Fix bugs where BLOB_DB_BLOB_FILE_SYNCED/BLOB_DB_BLOB_FILE_BYTES_WRITTEN include file failed to sync and bytes failed to write.
- Refactor WriteOptions constructor for easier construction with io_activity and rate_limiter_priority
- Refactor DBImpl::~DBImpl()/BlobDBImpl::Close() to bypass thread op verification
- Build table
- TableBuilderOptions now includes Read/WriteOpitons so BuildTable() do not need to take these two variables
- Replace the io_priority passed into BuildTable() with TableBuilderOptions::WriteOpitons::rate_limiter_priority. Similar for BlobFileBuilder.
This parameter is used for dynamically changing file io priority for flush, see https://github.com/facebook/rocksdb/pull/9988?fbclid=IwAR1DtKel6c-bRJAdesGo0jsbztRtciByNlvokbxkV6h_L-AE9MACzqRTT5s for more
- Update ThreadStatus::FLUSH_BYTES_WRITTEN to use io_activity to track flush IO in flush job and db open instead of io_priority
## Test
### db bench
Flush
```
./db_bench --statistics=1 --benchmarks=fillseq --num=100000 --write_buffer_size=100
rocksdb.sst.write.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.flush.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.db.open.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
```
compaction, db oopen
```
Setup: ./db_bench --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
rocksdb.sst.write.micros P50 : 2.675325 P95 : 9.578788 P99 : 18.780000 P100 : 314.000000 COUNT : 638 SUM : 3279
rocksdb.file.write.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.compaction.micros P50 : 2.757353 P95 : 9.610687 P99 : 19.316667 P100 : 314.000000 COUNT : 615 SUM : 3213
rocksdb.file.write.db.open.micros P50 : 2.055556 P95 : 3.925000 P99 : 9.000000 P100 : 9.000000 COUNT : 23 SUM : 66
```
blob stats - just to make sure they aren't broken by this PR
```
Integrated Blob DB
Setup: ./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 7.298246 P95 : 9.771930 P99 : 9.991813 P100 : 16.000000 COUNT : 235 SUM : 1600
rocksdb.blobdb.blob.file.synced COUNT : 1
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 2.000000 P95 : 2.829360 P99 : 2.993779 P100 : 9.000000 COUNT : 707 SUM : 1614
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 1 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 (stay the same)
```
```
Stacked Blob DB
Run: ./db_bench --use_blob_db=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 12.808042 P95 : 19.674497 P99 : 28.539683 P100 : 51.000000 COUNT : 10000 SUM : 140876
rocksdb.blobdb.blob.file.synced COUNT : 8
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 1.657370 P95 : 2.952175 P99 : 3.877519 P100 : 24.000000 COUNT : 30001 SUM : 67924
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 8 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 (stay the same)
```
### Rehearsal CI stress test
Trigger 3 full runs of all our CI stress tests
### Performance
Flush
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=ManualFlush/key_num:524288/per_key_size:256 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark; enable_statistics = true
Pre-pr: avg 507515519.3 ns
497686074,499444327,500862543,501389862,502994471,503744435,504142123,504224056,505724198,506610393,506837742,506955122,507695561,507929036,508307733,508312691,508999120,509963561,510142147,510698091,510743096,510769317,510957074,511053311,511371367,511409911,511432960,511642385,511691964,511730908,
Post-pr: avg 511971266.5 ns, regressed 0.88%
502744835,506502498,507735420,507929724,508313335,509548582,509994942,510107257,510715603,511046955,511352639,511458478,512117521,512317380,512766303,512972652,513059586,513804934,513808980,514059409,514187369,514389494,514447762,514616464,514622882,514641763,514666265,514716377,514990179,515502408,
```
Compaction
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_{pre|post}_pr --benchmark_filter=ManualCompaction/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 495346098.30 ns
492118301,493203526,494201411,494336607,495269217,495404950,496402598,497012157,497358370,498153846
Post-pr: avg 504528077.20, regressed 1.85%. "ManualCompaction" include flush so the isolated regression for compaction should be around 1.85-0.88 = 0.97%
502465338,502485945,502541789,502909283,503438601,504143885,506113087,506629423,507160414,507393007
```
Put with WAL (in case passing WriteOptions slows down this path even without collecting SST write stats)
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=DBPut/comp_style:0/max_data:107374182400/per_key_size:256/enable_statistics:1/wal:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 3848.10 ns
3814,3838,3839,3848,3854,3854,3854,3860,3860,3860
Post-pr: avg 3874.20 ns, regressed 0.68%
3863,3867,3871,3874,3875,3877,3877,3877,3880,3881
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11910
Reviewed By: ajkr
Differential Revision: D49788060
Pulled By: hx235
fbshipit-source-id: 79e73699cda5be3b66461687e5147c2484fc5eff
2023-12-29 23:29:23 +00:00
|
|
|
const ReadOptions read_options(Env::IOActivity::kCompaction);
|
|
|
|
const WriteOptions write_options(Env::IOActivity::kCompaction);
|
2021-04-29 13:59:53 +00:00
|
|
|
TableBuilderOptions tboptions(
|
2018-05-21 21:33:55 +00:00
|
|
|
*cfd->ioptions(), *(sub_compact->compaction->mutable_cf_options()),
|
Group SST write in flush, compaction and db open with new stats (#11910)
Summary:
## Context/Summary
Similar to https://github.com/facebook/rocksdb/pull/11288, https://github.com/facebook/rocksdb/pull/11444, categorizing SST/blob file write according to different io activities allows more insight into the activity.
For that, this PR does the following:
- Tag different write IOs by passing down and converting WriteOptions to IOOptions
- Add new SST_WRITE_MICROS histogram in WritableFileWriter::Append() and breakdown FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS
Some related code refactory to make implementation cleaner:
- Blob stats
- Replace high-level write measurement with low-level WritableFileWriter::Append() measurement for BLOB_DB_BLOB_FILE_WRITE_MICROS. This is to make FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS include blob file. As a consequence, this introduces some behavioral changes on it, see HISTORY and db bench test plan below for more info.
- Fix bugs where BLOB_DB_BLOB_FILE_SYNCED/BLOB_DB_BLOB_FILE_BYTES_WRITTEN include file failed to sync and bytes failed to write.
- Refactor WriteOptions constructor for easier construction with io_activity and rate_limiter_priority
- Refactor DBImpl::~DBImpl()/BlobDBImpl::Close() to bypass thread op verification
- Build table
- TableBuilderOptions now includes Read/WriteOpitons so BuildTable() do not need to take these two variables
- Replace the io_priority passed into BuildTable() with TableBuilderOptions::WriteOpitons::rate_limiter_priority. Similar for BlobFileBuilder.
This parameter is used for dynamically changing file io priority for flush, see https://github.com/facebook/rocksdb/pull/9988?fbclid=IwAR1DtKel6c-bRJAdesGo0jsbztRtciByNlvokbxkV6h_L-AE9MACzqRTT5s for more
- Update ThreadStatus::FLUSH_BYTES_WRITTEN to use io_activity to track flush IO in flush job and db open instead of io_priority
## Test
### db bench
Flush
```
./db_bench --statistics=1 --benchmarks=fillseq --num=100000 --write_buffer_size=100
rocksdb.sst.write.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.flush.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.db.open.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
```
compaction, db oopen
```
Setup: ./db_bench --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
rocksdb.sst.write.micros P50 : 2.675325 P95 : 9.578788 P99 : 18.780000 P100 : 314.000000 COUNT : 638 SUM : 3279
rocksdb.file.write.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.compaction.micros P50 : 2.757353 P95 : 9.610687 P99 : 19.316667 P100 : 314.000000 COUNT : 615 SUM : 3213
rocksdb.file.write.db.open.micros P50 : 2.055556 P95 : 3.925000 P99 : 9.000000 P100 : 9.000000 COUNT : 23 SUM : 66
```
blob stats - just to make sure they aren't broken by this PR
```
Integrated Blob DB
Setup: ./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
Run:./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=compact --db=../db_bench --use_existing_db=1
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 7.298246 P95 : 9.771930 P99 : 9.991813 P100 : 16.000000 COUNT : 235 SUM : 1600
rocksdb.blobdb.blob.file.synced COUNT : 1
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 2.000000 P95 : 2.829360 P99 : 2.993779 P100 : 9.000000 COUNT : 707 SUM : 1614
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 1 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 (stay the same)
```
```
Stacked Blob DB
Run: ./db_bench --use_blob_db=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench
pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 12.808042 P95 : 19.674497 P99 : 28.539683 P100 : 51.000000 COUNT : 10000 SUM : 140876
rocksdb.blobdb.blob.file.synced COUNT : 8
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445
post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 1.657370 P95 : 2.952175 P99 : 3.877519 P100 : 24.000000 COUNT : 30001 SUM : 67924
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164
rocksdb.blobdb.blob.file.synced COUNT : 8 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 (stay the same)
```
### Rehearsal CI stress test
Trigger 3 full runs of all our CI stress tests
### Performance
Flush
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=ManualFlush/key_num:524288/per_key_size:256 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark; enable_statistics = true
Pre-pr: avg 507515519.3 ns
497686074,499444327,500862543,501389862,502994471,503744435,504142123,504224056,505724198,506610393,506837742,506955122,507695561,507929036,508307733,508312691,508999120,509963561,510142147,510698091,510743096,510769317,510957074,511053311,511371367,511409911,511432960,511642385,511691964,511730908,
Post-pr: avg 511971266.5 ns, regressed 0.88%
502744835,506502498,507735420,507929724,508313335,509548582,509994942,510107257,510715603,511046955,511352639,511458478,512117521,512317380,512766303,512972652,513059586,513804934,513808980,514059409,514187369,514389494,514447762,514616464,514622882,514641763,514666265,514716377,514990179,515502408,
```
Compaction
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_{pre|post}_pr --benchmark_filter=ManualCompaction/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 495346098.30 ns
492118301,493203526,494201411,494336607,495269217,495404950,496402598,497012157,497358370,498153846
Post-pr: avg 504528077.20, regressed 1.85%. "ManualCompaction" include flush so the isolated regression for compaction should be around 1.85-0.88 = 0.97%
502465338,502485945,502541789,502909283,503438601,504143885,506113087,506629423,507160414,507393007
```
Put with WAL (in case passing WriteOptions slows down this path even without collecting SST write stats)
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=DBPut/comp_style:0/max_data:107374182400/per_key_size:256/enable_statistics:1/wal:1 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark
Pre-pr: avg 3848.10 ns
3814,3838,3839,3848,3854,3854,3854,3860,3860,3860
Post-pr: avg 3874.20 ns, regressed 0.68%
3863,3867,3871,3874,3875,3877,3877,3877,3880,3881
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11910
Reviewed By: ajkr
Differential Revision: D49788060
Pulled By: hx235
fbshipit-source-id: 79e73699cda5be3b66461687e5147c2484fc5eff
2023-12-29 23:29:23 +00:00
|
|
|
read_options, write_options, cfd->internal_comparator(),
|
|
|
|
cfd->int_tbl_prop_collector_factories(),
|
2018-05-21 21:33:55 +00:00
|
|
|
sub_compact->compaction->output_compression(),
|
Add more LSM info to FilterBuildingContext (#8246)
Summary:
Add `num_levels`, `is_bottommost`, and table file creation
`reason` to `FilterBuildingContext`, in anticipation of more powerful
Bloom-like filter support.
To support this, added `is_bottommost` and `reason` to
`TableBuilderOptions`, which allowed removing `reason` parameter from
`rocksdb::BuildTable`.
I attempted to remove `skip_filters` from `TableBuilderOptions`, because
filter construction decisions should arise from options, not one-off
parameters. I could not completely remove it because the public API for
SstFileWriter takes a `skip_filters` parameter, and translating this
into an option change would mean awkwardly replacing the table_factory
if it is BlockBasedTableFactory with new filter_policy=nullptr option.
I marked this public skip_filters option as deprecated because of this
oddity. (skip_filters on the read side probably makes sense.)
At least `skip_filters` is now largely hidden for users of
`TableBuilderOptions` and is no longer used for implementing the
optimize_filters_for_hits option. Bringing the logic for that option
closer to handling of FilterBuildingContext makes it more obvious that
hese two are using the same notion of "bottommost." (Planned:
configuration options for Bloom-like filters that generalize
`optimize_filters_for_hits`)
Recommended follow-up: Try to get away from "bottommost level" naming of
things, which is inaccurate (see
VersionStorageInfo::RangeMightExistAfterSortedRun), and move to
"bottommost run" or just "bottommost."
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8246
Test Plan:
extended an existing unit test to exercise and check various
filter building contexts. Also, existing tests for
optimize_filters_for_hits validate some of the "bottommost" handling,
which is now closely connected to FilterBuildingContext::is_bottommost
through TableBuilderOptions::is_bottommost
Reviewed By: mrambacher
Differential Revision: D28099346
Pulled By: pdillinger
fbshipit-source-id: 2c1072e29c24d4ac404c761a7b7663292372600a
2021-04-30 20:49:24 +00:00
|
|
|
sub_compact->compaction->output_compression_opts(), cfd->GetID(),
|
|
|
|
cfd->GetName(), sub_compact->compaction->output_level(),
|
|
|
|
bottommost_level_, TableFileCreationReason::kCompaction,
|
2022-07-15 04:49:34 +00:00
|
|
|
0 /* oldest_key_time */, current_time, db_id_, db_session_id_,
|
|
|
|
sub_compact->compaction->max_output_file_size(), file_number);
|
2022-07-14 03:54:49 +00:00
|
|
|
|
|
|
|
outputs.NewBuilder(tboptions);
|
|
|
|
|
2014-10-31 23:31:25 +00:00
|
|
|
LogFlush(db_options_.info_log);
|
|
|
|
return s;
|
|
|
|
}
|
|
|
|
|
2015-08-18 18:06:23 +00:00
|
|
|
void CompactionJob::CleanupCompaction() {
|
2015-09-10 20:50:00 +00:00
|
|
|
for (SubcompactionState& sub_compact : compact_->sub_compact_states) {
|
2022-07-14 03:54:49 +00:00
|
|
|
sub_compact.Cleanup(table_cache_.get());
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
|
|
|
delete compact_;
|
|
|
|
compact_ = nullptr;
|
|
|
|
}
|
|
|
|
|
2015-06-03 00:07:16 +00:00
|
|
|
namespace {
|
2018-04-13 00:55:14 +00:00
|
|
|
void CopyPrefix(const Slice& src, size_t prefix_length, std::string* dst) {
|
2015-06-04 19:31:12 +00:00
|
|
|
assert(prefix_length > 0);
|
|
|
|
size_t length = src.size() > prefix_length ? prefix_length : src.size();
|
|
|
|
dst->assign(src.data(), length);
|
2015-06-03 00:07:16 +00:00
|
|
|
}
|
|
|
|
} // namespace
|
|
|
|
|
2023-07-28 16:47:31 +00:00
|
|
|
bool CompactionJob::UpdateCompactionStats(uint64_t* num_input_range_del) {
|
2020-10-26 20:50:03 +00:00
|
|
|
assert(compact_);
|
|
|
|
|
2015-06-18 06:40:34 +00:00
|
|
|
Compaction* compaction = compact_->compaction;
|
2022-07-14 03:54:49 +00:00
|
|
|
compaction_stats_.stats.num_input_files_in_non_output_levels = 0;
|
|
|
|
compaction_stats_.stats.num_input_files_in_output_level = 0;
|
2023-07-28 16:47:31 +00:00
|
|
|
|
|
|
|
bool has_error = false;
|
|
|
|
const ReadOptions read_options(Env::IOActivity::kCompaction);
|
2023-09-20 20:34:39 +00:00
|
|
|
const auto& input_table_properties = compaction->GetInputTableProperties();
|
2015-06-18 06:40:34 +00:00
|
|
|
for (int input_level = 0;
|
|
|
|
input_level < static_cast<int>(compaction->num_input_levels());
|
|
|
|
++input_level) {
|
2023-07-28 16:47:31 +00:00
|
|
|
size_t num_input_files = compaction->num_input_files(input_level);
|
|
|
|
uint64_t* bytes_read;
|
2016-11-29 18:49:47 +00:00
|
|
|
if (compaction->level(input_level) != compaction->output_level()) {
|
2023-07-28 16:47:31 +00:00
|
|
|
compaction_stats_.stats.num_input_files_in_non_output_levels +=
|
|
|
|
static_cast<int>(num_input_files);
|
|
|
|
bytes_read = &compaction_stats_.stats.bytes_read_non_output_levels;
|
2015-06-18 06:40:34 +00:00
|
|
|
} else {
|
2023-07-28 16:47:31 +00:00
|
|
|
compaction_stats_.stats.num_input_files_in_output_level +=
|
|
|
|
static_cast<int>(num_input_files);
|
|
|
|
bytes_read = &compaction_stats_.stats.bytes_read_output_level;
|
|
|
|
}
|
|
|
|
for (size_t i = 0; i < num_input_files; ++i) {
|
|
|
|
const FileMetaData* file_meta = compaction->input(input_level, i);
|
|
|
|
*bytes_read += file_meta->fd.GetFileSize();
|
|
|
|
uint64_t file_input_entries = file_meta->num_entries;
|
|
|
|
uint64_t file_num_range_del = file_meta->num_range_deletions;
|
|
|
|
if (file_input_entries == 0) {
|
|
|
|
uint64_t file_number = file_meta->fd.GetNumber();
|
|
|
|
// Try getting info from table property
|
|
|
|
std::string fn =
|
|
|
|
TableFileName(compaction->immutable_options()->cf_paths,
|
|
|
|
file_number, file_meta->fd.GetPathId());
|
|
|
|
const auto& tp = input_table_properties.find(fn);
|
|
|
|
if (tp != input_table_properties.end()) {
|
|
|
|
file_input_entries = tp->second->num_entries;
|
|
|
|
file_num_range_del = tp->second->num_range_deletions;
|
|
|
|
} else {
|
|
|
|
has_error = true;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
compaction_stats_.stats.num_input_records += file_input_entries;
|
|
|
|
if (num_input_range_del) {
|
|
|
|
*num_input_range_del += file_num_range_del;
|
|
|
|
}
|
2015-06-18 06:40:34 +00:00
|
|
|
}
|
|
|
|
}
|
2015-07-14 07:09:20 +00:00
|
|
|
|
2021-03-04 08:42:11 +00:00
|
|
|
assert(compaction_job_stats_);
|
2022-07-14 03:54:49 +00:00
|
|
|
compaction_stats_.stats.bytes_read_blob =
|
2021-03-04 08:42:11 +00:00
|
|
|
compaction_job_stats_->total_blob_bytes_read;
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
compaction_stats_.stats.num_dropped_records =
|
|
|
|
compaction_stats_.DroppedRecords();
|
2023-07-28 16:47:31 +00:00
|
|
|
return !has_error;
|
2015-06-18 06:40:34 +00:00
|
|
|
}
|
|
|
|
|
2015-06-03 00:07:16 +00:00
|
|
|
void CompactionJob::UpdateCompactionJobStats(
|
|
|
|
const InternalStats::CompactionStats& stats) const {
|
2020-10-01 19:51:33 +00:00
|
|
|
compaction_job_stats_->elapsed_micros = stats.micros;
|
|
|
|
|
|
|
|
// input information
|
|
|
|
compaction_job_stats_->total_input_bytes =
|
|
|
|
stats.bytes_read_non_output_levels + stats.bytes_read_output_level;
|
|
|
|
compaction_job_stats_->num_input_records = stats.num_input_records;
|
|
|
|
compaction_job_stats_->num_input_files =
|
|
|
|
stats.num_input_files_in_non_output_levels +
|
|
|
|
stats.num_input_files_in_output_level;
|
|
|
|
compaction_job_stats_->num_input_files_at_output_level =
|
|
|
|
stats.num_input_files_in_output_level;
|
|
|
|
|
|
|
|
// output information
|
2021-03-04 08:42:11 +00:00
|
|
|
compaction_job_stats_->total_output_bytes = stats.bytes_written;
|
|
|
|
compaction_job_stats_->total_output_bytes_blob = stats.bytes_written_blob;
|
2022-07-14 03:54:49 +00:00
|
|
|
compaction_job_stats_->num_output_records = stats.num_output_records;
|
2021-03-04 08:42:11 +00:00
|
|
|
compaction_job_stats_->num_output_files = stats.num_output_files;
|
|
|
|
compaction_job_stats_->num_output_files_blob = stats.num_output_files_blob;
|
2020-10-01 19:51:33 +00:00
|
|
|
|
2020-10-26 20:50:03 +00:00
|
|
|
if (stats.num_output_files > 0) {
|
2020-10-01 19:51:33 +00:00
|
|
|
CopyPrefix(compact_->SmallestUserKey(),
|
|
|
|
CompactionJobStats::kMaxPrefixLength,
|
|
|
|
&compaction_job_stats_->smallest_output_key_prefix);
|
|
|
|
CopyPrefix(compact_->LargestUserKey(), CompactionJobStats::kMaxPrefixLength,
|
|
|
|
&compaction_job_stats_->largest_output_key_prefix);
|
2015-06-03 00:07:16 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2015-08-18 18:06:23 +00:00
|
|
|
void CompactionJob::LogCompaction() {
|
|
|
|
Compaction* compaction = compact_->compaction;
|
|
|
|
ColumnFamilyData* cfd = compaction->column_family_data();
|
|
|
|
|
2015-07-14 07:09:20 +00:00
|
|
|
// Let's check if anything will get logged. Don't prepare all the info if
|
|
|
|
// we're not logging
|
|
|
|
if (db_options_.info_log_level <= InfoLogLevel::INFO_LEVEL) {
|
|
|
|
Compaction::InputLevelSummaryBuffer inputs_summary;
|
2017-03-16 02:22:52 +00:00
|
|
|
ROCKS_LOG_INFO(
|
|
|
|
db_options_.info_log, "[%s] [JOB %d] Compacting %s, score %.2f",
|
|
|
|
cfd->GetName().c_str(), job_id_,
|
|
|
|
compaction->InputLevelSummary(&inputs_summary), compaction->score());
|
2015-07-14 07:09:20 +00:00
|
|
|
char scratch[2345];
|
|
|
|
compaction->Summary(scratch, sizeof(scratch));
|
2022-10-22 15:57:38 +00:00
|
|
|
ROCKS_LOG_INFO(db_options_.info_log, "[%s]: Compaction start summary: %s\n",
|
2017-03-16 02:22:52 +00:00
|
|
|
cfd->GetName().c_str(), scratch);
|
2015-07-14 07:09:20 +00:00
|
|
|
// build event logger report
|
|
|
|
auto stream = event_logger_->Log();
|
2018-04-13 00:55:14 +00:00
|
|
|
stream << "job" << job_id_ << "event"
|
|
|
|
<< "compaction_started"
|
|
|
|
<< "compaction_reason"
|
|
|
|
<< GetCompactionReasonString(compaction->compaction_reason());
|
2015-07-14 07:09:20 +00:00
|
|
|
for (size_t i = 0; i < compaction->num_input_levels(); ++i) {
|
2022-05-06 20:03:58 +00:00
|
|
|
stream << ("files_L" + std::to_string(compaction->level(i)));
|
2015-07-14 07:09:20 +00:00
|
|
|
stream.StartArray();
|
|
|
|
for (auto f : *compaction->inputs(i)) {
|
|
|
|
stream << f->fd.GetNumber();
|
|
|
|
}
|
|
|
|
stream.EndArray();
|
|
|
|
}
|
|
|
|
stream << "score" << compaction->score() << "input_data_size"
|
2022-08-12 20:08:50 +00:00
|
|
|
<< compaction->CalculateTotalInputSize() << "oldest_snapshot_seqno"
|
|
|
|
<< (existing_snapshots_.empty()
|
|
|
|
? int64_t{-1} // Use -1 for "none"
|
|
|
|
: static_cast<int64_t>(existing_snapshots_[0]));
|
2022-10-22 15:57:38 +00:00
|
|
|
if (compaction->SupportsPerKeyPlacement()) {
|
|
|
|
stream << "preclude_last_level_min_seqno"
|
|
|
|
<< preclude_last_level_min_seqno_;
|
|
|
|
stream << "penultimate_output_level" << compaction->GetPenultimateLevel();
|
|
|
|
stream << "penultimate_output_range"
|
|
|
|
<< GetCompactionPenultimateOutputRangeTypeString(
|
|
|
|
compaction->GetPenultimateOutputRangeType());
|
|
|
|
|
|
|
|
if (compaction->GetPenultimateOutputRangeType() ==
|
|
|
|
Compaction::PenultimateOutputRangeType::kDisabled) {
|
|
|
|
ROCKS_LOG_WARN(
|
|
|
|
db_options_.info_log,
|
|
|
|
"[%s] [JOB %d] Penultimate level output is disabled, likely "
|
|
|
|
"because of the range conflict in the penultimate level",
|
|
|
|
cfd->GetName().c_str(), job_id_);
|
|
|
|
}
|
|
|
|
}
|
2015-07-14 07:09:20 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2021-04-22 20:01:00 +00:00
|
|
|
std::string CompactionJob::GetTableFileName(uint64_t file_number) {
|
2021-06-16 23:50:43 +00:00
|
|
|
return TableFileName(compact_->compaction->immutable_options()->cf_paths,
|
2021-04-22 20:01:00 +00:00
|
|
|
file_number, compact_->compaction->output_path_id());
|
|
|
|
}
|
|
|
|
|
Set Write rate limiter priority dynamically and pass it to FS (#9988)
Summary:
### Context:
Background compactions and flush generate large reads and writes, and can be long running, especially for universal compaction. In some cases, this can impact foreground reads and writes by users.
From the RocksDB perspective, there can be two kinds of rate limiters, the internal (native) one and the external one.
- The internal (native) rate limiter is introduced in [the wiki](https://github.com/facebook/rocksdb/wiki/Rate-Limiter). Currently, only IO_LOW and IO_HIGH are used and they are set statically.
- For the external rate limiter, in FSWritableFile functions, IOOptions is open for end users to set and get rate_limiter_priority for their own rate limiter. Currently, RocksDB doesn’t pass the rate_limiter_priority through IOOptions to the file system.
### Solution
During the User Read, Flush write, Compaction read/write, the WriteController is used to determine whether DB writes are stalled or slowed down. The rate limiter priority (Env::IOPriority) can be determined accordingly. We decided to always pass the priority in IOOptions. What the file system does with it should be a contract between the user and the file system. We would like to set the rate limiter priority at file level, since the Flush/Compaction job level may be too coarse with multiple files and block IO level is too granular.
**This PR is for the Write path.** The **Write:** dynamic priority for different state are listed as follows:
| State | Normal | Delayed | Stalled |
| ----- | ------ | ------- | ------- |
| Flush | IO_HIGH | IO_USER | IO_USER |
| Compaction | IO_LOW | IO_USER | IO_USER |
Flush and Compaction writes share the same call path through BlockBaseTableWriter, WritableFileWriter, and FSWritableFile. When a new FSWritableFile object is created, its io_priority_ can be set dynamically based on the state of the WriteController. In WritableFileWriter, before the call sites of FSWritableFile functions, WritableFileWriter::DecideRateLimiterPriority() determines the rate_limiter_priority. The options (IOOptions) argument of FSWritableFile functions will be updated with the rate_limiter_priority.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9988
Test Plan: Add unit tests.
Reviewed By: anand1976
Differential Revision: D36395159
Pulled By: gitbw95
fbshipit-source-id: a7c82fc29759139a1a07ec46c37dbf7e753474cf
2022-05-18 07:41:41 +00:00
|
|
|
Env::IOPriority CompactionJob::GetRateLimiterPriority() {
|
|
|
|
if (versions_ && versions_->GetColumnFamilySet() &&
|
|
|
|
versions_->GetColumnFamilySet()->write_controller()) {
|
|
|
|
WriteController* write_controller =
|
|
|
|
versions_->GetColumnFamilySet()->write_controller();
|
|
|
|
if (write_controller->NeedsDelay() || write_controller->IsStopped()) {
|
|
|
|
return Env::IO_USER;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return Env::IO_LOW;
|
|
|
|
}
|
|
|
|
|
2020-02-20 20:07:53 +00:00
|
|
|
} // namespace ROCKSDB_NAMESPACE
|