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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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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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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#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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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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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,
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2021-06-07 18:40:31 +00:00
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const std::string& db_id, const std::string& db_session_id,
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2022-03-12 00:13:23 +00:00
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std::string full_history_ts_low, std::string trim_ts,
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BlobFileCompletionCallback* blob_callback)
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2021-04-22 20:01:00 +00:00
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: compact_(new CompactionState(compaction)),
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2018-04-11 17:47:54 +00:00
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compaction_stats_(compaction->compaction_reason(), 1),
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2021-04-22 20:01:00 +00:00
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db_options_(db_options),
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2021-05-20 04:40:43 +00:00
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mutable_db_options_copy_(mutable_db_options),
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2021-04-22 20:01:00 +00:00
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log_buffer_(log_buffer),
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output_directory_(output_directory),
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stats_(stats),
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bottommost_level_(false),
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write_hint_(Env::WLTH_NOT_SET),
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compaction_job_stats_(compaction_job_stats),
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2022-07-14 03:54:49 +00:00
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job_id_(job_id),
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2015-06-02 21:12:23 +00:00
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dbname_(dbname),
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2020-06-17 17:55:42 +00:00
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db_id_(db_id),
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db_session_id_(db_session_id),
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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
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file_options_(file_options),
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2014-10-31 23:31:25 +00:00
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env_(db_options.env),
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2020-09-08 17:49:01 +00:00
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io_tracer_(io_tracer),
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2020-08-13 00:28:10 +00:00
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fs_(db_options.fs, io_tracer),
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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_(
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|
|
|
fs_->OptimizeForCompactionTableRead(file_options, db_options_)),
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2014-10-31 23:31:25 +00:00
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|
|
versions_(versions),
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|
|
shutting_down_(shutting_down),
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2021-06-07 18:40:31 +00:00
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|
|
manual_compaction_canceled_(manual_compaction_canceled),
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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
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job_context_(job_context),
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2014-10-31 23:31:25 +00:00
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table_cache_(std::move(table_cache)),
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2015-05-06 02:01:12 +00:00
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|
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event_logger_(event_logger),
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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
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paranoid_file_checks_(paranoid_file_checks),
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2017-11-10 17:25:26 +00:00
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measure_io_stats_(measure_io_stats),
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2020-11-12 19:40:52 +00:00
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thread_pri_(thread_pri),
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2021-03-18 03:43:22 +00:00
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full_history_ts_low_(std::move(full_history_ts_low)),
|
2022-03-12 00:13:23 +00:00
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trim_ts_(std::move(trim_ts)),
|
2021-03-18 03:43:22 +00:00
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blob_callback_(blob_callback) {
|
2020-10-01 19:51:33 +00:00
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assert(compaction_job_stats_ != nullptr);
|
2015-07-15 06:12:34 +00:00
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assert(log_buffer_ != nullptr);
|
2016-01-26 00:26:53 +00:00
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const auto* cfd = compact_->compaction->column_family_data();
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ThreadStatusUtil::SetColumnFamily(cfd, cfd->ioptions()->env,
|
2016-09-16 22:09:14 +00:00
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db_options_.enable_thread_tracking);
|
2015-03-13 17:45:40 +00:00
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ThreadStatusUtil::SetThreadOperation(ThreadStatus::OP_COMPACTION);
|
2015-05-07 05:50:35 +00:00
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ReportStartedCompaction(compaction);
|
2015-03-13 17:45:40 +00:00
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}
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CompactionJob::~CompactionJob() {
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assert(compact_ == nullptr);
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ThreadStatusUtil::ResetThreadStatus();
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}
|
2014-10-31 23:31:25 +00:00
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|
|
2018-04-13 00:55:14 +00:00
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|
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void CompactionJob::ReportStartedCompaction(Compaction* compaction) {
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2016-01-26 00:26:53 +00:00
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const auto* cfd = compact_->compaction->column_family_data();
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ThreadStatusUtil::SetColumnFamily(cfd, cfd->ioptions()->env,
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2016-09-16 22:09:14 +00:00
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db_options_.enable_thread_tracking);
|
2015-05-07 05:50:35 +00:00
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|
|
|
2018-04-13 00:55:14 +00:00
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ThreadStatusUtil::SetThreadOperationProperty(ThreadStatus::COMPACTION_JOB_ID,
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|
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job_id_);
|
2015-05-07 05:50:35 +00:00
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ThreadStatusUtil::SetThreadOperationProperty(
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ThreadStatus::COMPACTION_INPUT_OUTPUT_LEVEL,
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(static_cast<uint64_t>(compact_->compaction->start_level()) << 32) +
|
|
|
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compact_->compaction->output_level());
|
|
|
|
|
2015-06-03 00:07:16 +00:00
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|
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// In the current design, a CompactionJob is always created
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|
|
|
// for non-trivial compaction.
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|
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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
|
|
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ThreadStatusUtil::SetThreadOperationProperty(
|
|
|
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ThreadStatus::COMPACTION_PROP_FLAGS,
|
2015-07-13 19:11:05 +00:00
|
|
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compaction->is_manual_compaction() +
|
2015-07-08 22:21:10 +00:00
|
|
|
(compaction->deletion_compaction() << 1));
|
2015-05-07 05:50:35 +00:00
|
|
|
|
|
|
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ThreadStatusUtil::SetThreadOperationProperty(
|
|
|
|
ThreadStatus::COMPACTION_TOTAL_INPUT_BYTES,
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|
|
|
compaction->CalculateTotalInputSize());
|
|
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IOSTATS_RESET(bytes_written);
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IOSTATS_RESET(bytes_read);
|
|
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ThreadStatusUtil::SetThreadOperationProperty(
|
|
|
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ThreadStatus::COMPACTION_BYTES_WRITTEN, 0);
|
|
|
|
ThreadStatusUtil::SetThreadOperationProperty(
|
|
|
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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;
|
|
|
|
assert(c->column_family_data() != nullptr);
|
2018-04-13 00:55:14 +00:00
|
|
|
assert(c->column_family_data()->current()->storage_info()->NumLevelFiles(
|
|
|
|
compact_->compaction->level()) > 0);
|
2014-10-31 23:31:25 +00:00
|
|
|
|
2018-04-13 00:55:14 +00:00
|
|
|
write_hint_ =
|
|
|
|
c->column_family_data()->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()) {
|
2019-02-28 18:14:19 +00:00
|
|
|
{
|
2021-03-15 11:32:24 +00:00
|
|
|
StopWatch sw(db_options_.clock, stats_, SUBCOMPACTION_SETUP_TIME);
|
2019-02-28 18:14:19 +00:00
|
|
|
GenSubcompactionBoundaries();
|
|
|
|
}
|
2015-09-10 20:50:00 +00:00
|
|
|
|
|
|
|
for (size_t i = 0; i <= boundaries_.size(); i++) {
|
|
|
|
Slice* start = i == 0 ? nullptr : &boundaries_[i - 1];
|
|
|
|
Slice* end = i == boundaries_.size() ? nullptr : &boundaries_[i];
|
2022-07-14 03:54:49 +00:00
|
|
|
compact_->sub_compact_states.emplace_back(c, start, end,
|
2021-06-29 17:41:22 +00:00
|
|
|
static_cast<uint32_t>(i));
|
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 {
|
2020-09-08 16:22:46 +00:00
|
|
|
constexpr Slice* start = nullptr;
|
|
|
|
constexpr Slice* end = nullptr;
|
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
compact_->sub_compact_states.emplace_back(c, start, end, /*sub_job_id*/ 0);
|
2015-09-10 20:50:00 +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
|
|
|
}
|
|
|
|
|
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() {
|
|
|
|
auto* c = compact_->compaction;
|
|
|
|
auto* cfd = c->column_family_data();
|
2015-12-22 06:34:57 +00:00
|
|
|
const Comparator* cfd_comparator = cfd->user_comparator();
|
|
|
|
std::vector<Slice> bounds;
|
2015-09-10 20:50:00 +00:00
|
|
|
int start_lvl = c->start_level();
|
|
|
|
int out_lvl = c->output_level();
|
|
|
|
|
|
|
|
// Add the starting and/or ending key of certain input files as a potential
|
2015-12-22 06:34:57 +00:00
|
|
|
// boundary
|
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
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
if (lvl == 0) {
|
|
|
|
// For level 0 add the starting and ending key of each file since the
|
|
|
|
// files may have greatly differing key ranges (not range-partitioned)
|
|
|
|
for (size_t i = 0; i < num_files; i++) {
|
2015-12-22 06:34:57 +00:00
|
|
|
bounds.emplace_back(flevel->files[i].smallest_key);
|
|
|
|
bounds.emplace_back(flevel->files[i].largest_key);
|
2015-09-10 20:50:00 +00:00
|
|
|
}
|
|
|
|
} else {
|
|
|
|
// For all other levels add the smallest/largest key in the level to
|
|
|
|
// encompass the range covered by that level
|
2015-12-22 06:34:57 +00:00
|
|
|
bounds.emplace_back(flevel->files[0].smallest_key);
|
|
|
|
bounds.emplace_back(flevel->files[num_files - 1].largest_key);
|
2015-09-10 20:50:00 +00:00
|
|
|
if (lvl == out_lvl) {
|
|
|
|
// For the last level include the starting keys of all files since
|
|
|
|
// the last level is the largest and probably has the widest key
|
|
|
|
// range. Since it's range partitioned, the ending key of one file
|
|
|
|
// and the starting key of the next are very close (or identical).
|
|
|
|
for (size_t i = 1; i < num_files; i++) {
|
2015-12-22 06:34:57 +00:00
|
|
|
bounds.emplace_back(flevel->files[i].smallest_key);
|
2015-08-18 21:56:31 +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
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
2015-08-18 18:06:23 +00:00
|
|
|
|
2015-12-22 06:34:57 +00:00
|
|
|
std::sort(bounds.begin(), bounds.end(),
|
2018-04-13 00:55:14 +00:00
|
|
|
[cfd_comparator](const Slice& a, const Slice& b) -> bool {
|
|
|
|
return cfd_comparator->Compare(ExtractUserKey(a),
|
|
|
|
ExtractUserKey(b)) < 0;
|
|
|
|
});
|
2015-12-22 06:34:57 +00:00
|
|
|
// Remove duplicated entries from bounds
|
2018-04-13 00:55:14 +00:00
|
|
|
bounds.erase(
|
|
|
|
std::unique(bounds.begin(), bounds.end(),
|
|
|
|
[cfd_comparator](const Slice& a, const Slice& b) -> bool {
|
|
|
|
return cfd_comparator->Compare(ExtractUserKey(a),
|
|
|
|
ExtractUserKey(b)) == 0;
|
|
|
|
}),
|
|
|
|
bounds.end());
|
2015-12-22 06:34:57 +00:00
|
|
|
|
2015-09-10 20:50:00 +00:00
|
|
|
// Combine consecutive pairs of boundaries into ranges with an approximate
|
|
|
|
// size of data covered by keys in that range
|
|
|
|
uint64_t sum = 0;
|
|
|
|
std::vector<RangeWithSize> ranges;
|
2018-11-14 01:02:26 +00:00
|
|
|
// Get input version from CompactionState since it's already referenced
|
|
|
|
// earlier in SetInputVersioCompaction::SetInputVersion and will not change
|
|
|
|
// when db_mutex_ is released below
|
|
|
|
auto* v = compact_->compaction->input_version();
|
2015-09-10 20:50:00 +00:00
|
|
|
for (auto it = bounds.begin();;) {
|
|
|
|
const Slice a = *it;
|
2019-05-15 20:14:18 +00:00
|
|
|
++it;
|
2015-09-10 20:50:00 +00:00
|
|
|
|
|
|
|
if (it == bounds.end()) {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
|
|
|
const Slice b = *it;
|
2018-11-14 01:02:26 +00:00
|
|
|
|
|
|
|
// ApproximateSize could potentially create table reader iterator to seek
|
|
|
|
// to the index block and may incur I/O cost in the process. Unlock db
|
|
|
|
// mutex to reduce contention
|
|
|
|
db_mutex_->Unlock();
|
2019-07-31 15:46:48 +00:00
|
|
|
uint64_t size = versions_->ApproximateSize(SizeApproximationOptions(), v, a,
|
|
|
|
b, start_lvl, out_lvl + 1,
|
2019-06-20 21:28:22 +00:00
|
|
|
TableReaderCaller::kCompaction);
|
2018-11-14 01:02:26 +00:00
|
|
|
db_mutex_->Lock();
|
2015-09-10 20:50:00 +00:00
|
|
|
ranges.emplace_back(a, b, size);
|
|
|
|
sum += size;
|
|
|
|
}
|
|
|
|
|
|
|
|
// Group the ranges into subcompactions
|
|
|
|
const double min_file_fill_percent = 4.0 / 5;
|
2018-05-03 23:35:46 +00:00
|
|
|
int base_level = v->storage_info()->base_level();
|
|
|
|
uint64_t max_output_files = static_cast<uint64_t>(std::ceil(
|
|
|
|
sum / min_file_fill_percent /
|
2021-06-16 23:50:43 +00:00
|
|
|
MaxFileSizeForLevel(
|
|
|
|
*(c->mutable_cf_options()), out_lvl,
|
|
|
|
c->immutable_options()->compaction_style, base_level,
|
|
|
|
c->immutable_options()->level_compaction_dynamic_level_bytes)));
|
2015-09-10 20:50:00 +00:00
|
|
|
uint64_t subcompactions =
|
|
|
|
std::min({static_cast<uint64_t>(ranges.size()),
|
2018-04-27 18:48:21 +00:00
|
|
|
static_cast<uint64_t>(c->max_subcompactions()),
|
2015-09-10 20:50:00 +00:00
|
|
|
max_output_files});
|
|
|
|
|
|
|
|
if (subcompactions > 1) {
|
2016-11-29 00:31:41 +00:00
|
|
|
double mean = sum * 1.0 / subcompactions;
|
2015-09-10 20:50:00 +00:00
|
|
|
// Greedily add ranges to the subcompaction until the sum of the ranges'
|
|
|
|
// sizes becomes >= the expected mean size of a subcompaction
|
|
|
|
sum = 0;
|
2020-06-02 22:02:44 +00:00
|
|
|
for (size_t i = 0; i + 1 < ranges.size(); i++) {
|
2015-12-22 10:37:51 +00:00
|
|
|
sum += ranges[i].size;
|
2015-09-10 20:50:00 +00:00
|
|
|
if (subcompactions == 1) {
|
|
|
|
// If there's only one left to schedule then it goes to the end so no
|
|
|
|
// need to put an end boundary
|
2015-12-22 10:37:51 +00:00
|
|
|
continue;
|
2015-09-10 20:50:00 +00:00
|
|
|
}
|
2022-06-30 22:36:46 +00:00
|
|
|
if (sum >= mean) {
|
2015-09-10 20:50:00 +00:00
|
|
|
boundaries_.emplace_back(ExtractUserKey(ranges[i].range.limit));
|
|
|
|
subcompactions--;
|
|
|
|
sum = 0;
|
|
|
|
}
|
|
|
|
}
|
2015-08-18 18:06:23 +00:00
|
|
|
}
|
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
|
|
|
|
// 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
|
2020-08-03 22:21:56 +00:00
|
|
|
ReadOptions read_options;
|
2018-06-15 19:28:06 +00:00
|
|
|
InternalIterator* iter = cfd->table_cache()->NewIterator(
|
2020-08-03 22:21:56 +00:00
|
|
|
read_options, file_options_, cfd->internal_comparator(),
|
2020-07-22 18:03:29 +00:00
|
|
|
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,
|
|
|
|
/*allow_unprepared_value=*/false);
|
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++) {
|
|
|
|
thread_pool.emplace_back(verify_table,
|
|
|
|
std::ref(compact_->sub_compact_states[i].status));
|
|
|
|
}
|
|
|
|
verify_table(compact_->sub_compact_states[0].status);
|
|
|
|
for (auto& thread : thread_pool) {
|
|
|
|
thread.join();
|
|
|
|
}
|
|
|
|
for (const auto& state : compact_->sub_compact_states) {
|
|
|
|
if (!state.status.ok()) {
|
|
|
|
status = state.status;
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
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());
|
2015-09-15 16:03:08 +00:00
|
|
|
tp[fn] = output.table_properties;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
compact_->compaction->SetOutputTableProperties(std::move(tp));
|
|
|
|
|
2015-08-18 18:06:23 +00:00
|
|
|
// Finish up all book-keeping to unify the subcompaction results
|
2022-07-14 03:54:49 +00:00
|
|
|
compact_->AggregateCompactionStats(compaction_stats_, *compaction_job_stats_);
|
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
|
|
|
UpdateCompactionStats();
|
2020-10-26 20:50:03 +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
|
|
|
RecordCompactionIOStats();
|
|
|
|
LogFlush(db_options_.info_log);
|
|
|
|
TEST_SYNC_POINT("CompactionJob::Run():End");
|
|
|
|
|
2015-08-18 18:06:23 +00:00
|
|
|
compact_->status = 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;
|
|
|
|
}
|
|
|
|
|
2016-02-17 23:20:23 +00:00
|
|
|
Status CompactionJob::Install(const MutableCFOptions& mutable_cf_options) {
|
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()) {
|
2016-02-17 23:20:23 +00:00
|
|
|
status = InstallCompactionResults(mutable_cf_options);
|
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) {
|
|
|
|
#ifndef ROCKSDB_LITE
|
|
|
|
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();
|
|
|
|
|
|
|
|
#else
|
|
|
|
(void)sub_compact;
|
|
|
|
#endif // ROCKSDB_LITE
|
|
|
|
}
|
|
|
|
|
|
|
|
void CompactionJob::NotifyOnSubcompactionCompleted(
|
|
|
|
SubcompactionState* sub_compact) {
|
|
|
|
#ifndef ROCKSDB_LITE
|
|
|
|
|
|
|
|
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);
|
|
|
|
}
|
|
|
|
#else
|
|
|
|
(void)sub_compact;
|
|
|
|
#endif // ROCKSDB_LITE
|
|
|
|
}
|
|
|
|
|
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);
|
2019-01-30 00:23:21 +00:00
|
|
|
|
2021-05-20 04:40:43 +00:00
|
|
|
#ifndef ROCKSDB_LITE
|
|
|
|
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
|
|
|
}
|
|
|
|
#endif // !ROCKSDB_LITE
|
|
|
|
|
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>(
|
|
|
|
&cfd->internal_comparator(), existing_snapshots_);
|
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.
|
2021-06-09 22:40:16 +00:00
|
|
|
const Slice* const start = sub_compact->start;
|
|
|
|
const Slice* const end = sub_compact->end;
|
|
|
|
|
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
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read_options.rate_limiter_priority = GetRateLimiterPriority();
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2020-08-03 22:21:56 +00:00
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// Compaction iterators shouldn't be confined to a single prefix.
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// Compactions use Seek() for
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// (a) concurrent compactions,
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// (b) CompactionFilter::Decision::kRemoveAndSkipUntil.
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read_options.total_order_seek = true;
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2021-06-12 19:08:30 +00:00
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// Note: if we're going to support subcompactions for user-defined timestamps,
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// the timestamp part will have to be stripped from the bounds here.
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assert((!start && !end) || cfd->user_comparator()->timestamp_size() == 0);
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2021-06-09 22:40:16 +00:00
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read_options.iterate_lower_bound = start;
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read_options.iterate_upper_bound = end;
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2018-11-21 18:53:44 +00:00
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// Although the v2 aggregator is what the level iterator(s) know about,
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// the AddTombstones calls will be propagated down to the v1 aggregator.
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2022-04-07 01:19:19 +00:00
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std::unique_ptr<InternalIterator> raw_input(versions_->MakeInputIterator(
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2022-07-14 03:54:49 +00:00
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read_options, sub_compact->compaction, range_del_agg.get(),
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2022-04-07 01:19:19 +00:00
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file_options_for_read_,
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(start == nullptr) ? std::optional<const Slice>{}
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: std::optional<const Slice>{*start},
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(end == nullptr) ? std::optional<const Slice>{}
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: std::optional<const Slice>{*end}));
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2021-06-09 22:40:16 +00:00
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InternalIterator* input = raw_input.get();
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IterKey start_ikey;
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IterKey end_ikey;
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Slice start_slice;
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Slice end_slice;
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if (start) {
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start_ikey.SetInternalKey(*start, kMaxSequenceNumber, kValueTypeForSeek);
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start_slice = start_ikey.GetInternalKey();
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}
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if (end) {
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end_ikey.SetInternalKey(*end, kMaxSequenceNumber, kValueTypeForSeek);
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end_slice = end_ikey.GetInternalKey();
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}
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std::unique_ptr<InternalIterator> clip;
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if (start || end) {
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2022-03-12 00:13:23 +00:00
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clip = std::make_unique<ClippingIterator>(
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2021-06-09 22:40:16 +00:00
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raw_input.get(), start ? &start_slice : nullptr,
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2022-03-12 00:13:23 +00:00
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end ? &end_slice : nullptr, &cfd->internal_comparator());
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2021-06-09 22:40:16 +00:00
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input = clip.get();
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}
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2021-06-24 23:11:07 +00:00
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std::unique_ptr<InternalIterator> blob_counter;
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if (sub_compact->compaction->DoesInputReferenceBlobFiles()) {
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2022-07-14 03:54:49 +00:00
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BlobGarbageMeter* meter = sub_compact->Current().CreateBlobGarbageMeter();
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blob_counter = std::make_unique<BlobCountingIterator>(input, meter);
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2021-06-24 23:11:07 +00:00
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input = blob_counter.get();
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}
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2022-03-12 00:13:23 +00:00
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std::unique_ptr<InternalIterator> trim_history_iter;
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if (cfd->user_comparator()->timestamp_size() > 0 && !trim_ts_.empty()) {
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trim_history_iter = std::make_unique<HistoryTrimmingIterator>(
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input, cfd->user_comparator(), trim_ts_);
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input = trim_history_iter.get();
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}
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2021-06-09 22:40:16 +00:00
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input->SeekToFirst();
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2015-08-18 18:06:23 +00:00
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2015-03-13 17:45:40 +00:00
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AutoThreadOperationStageUpdater stage_updater(
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ThreadStatus::STAGE_COMPACTION_PROCESS_KV);
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2015-08-18 18:06:23 +00:00
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// I/O measurement variables
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PerfLevel prev_perf_level = PerfLevel::kEnableTime;
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2015-09-10 21:35:25 +00:00
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const uint64_t kRecordStatsEvery = 1000;
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2015-08-18 18:06:23 +00:00
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uint64_t prev_write_nanos = 0;
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uint64_t prev_fsync_nanos = 0;
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uint64_t prev_range_sync_nanos = 0;
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uint64_t prev_prepare_write_nanos = 0;
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2019-01-30 00:23:21 +00:00
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uint64_t prev_cpu_write_nanos = 0;
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uint64_t prev_cpu_read_nanos = 0;
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2015-08-18 18:06:23 +00:00
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if (measure_io_stats_) {
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prev_perf_level = GetPerfLevel();
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2019-01-30 00:23:21 +00:00
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SetPerfLevel(PerfLevel::kEnableTimeAndCPUTimeExceptForMutex);
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2015-10-19 20:40:44 +00:00
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prev_write_nanos = IOSTATS(write_nanos);
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prev_fsync_nanos = IOSTATS(fsync_nanos);
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prev_range_sync_nanos = IOSTATS(range_sync_nanos);
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prev_prepare_write_nanos = IOSTATS(prepare_write_nanos);
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2019-01-30 00:23:21 +00:00
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prev_cpu_write_nanos = IOSTATS(cpu_write_nanos);
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prev_cpu_read_nanos = IOSTATS(cpu_read_nanos);
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2015-08-18 18:06:23 +00:00
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}
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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
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MergeHelper merge(
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2021-04-23 03:42:50 +00:00
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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
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compaction_filter, db_options_.info_log.get(),
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false /* internal key corruption is expected */,
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existing_snapshots_.empty() ? 0 : existing_snapshots_.back(),
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2021-05-05 20:59:21 +00:00
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snapshot_checker_, compact_->compaction->level(), db_options_.stats);
|
2014-10-31 23:31:25 +00:00
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2020-10-26 20:50:03 +00:00
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const MutableCFOptions* mutable_cf_options =
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sub_compact->compaction->mutable_cf_options();
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assert(mutable_cf_options);
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std::vector<std::string> blob_file_paths;
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2022-07-14 03:54:49 +00:00
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// TODO: BlobDB to support output_to_penultimate_level compaction, which needs
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|
// 2 builders, so may need to move to `CompactionOutputs`
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2020-10-26 20:50:03 +00:00
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std::unique_ptr<BlobFileBuilder> blob_file_builder(
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2022-06-03 03:04:33 +00:00
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|
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(mutable_cf_options->enable_blob_files &&
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sub_compact->compaction->output_level() >=
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mutable_cf_options->blob_file_starting_level)
|
2021-09-17 00:17:40 +00:00
|
|
|
? new BlobFileBuilder(
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versions_, fs_.get(),
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sub_compact->compaction->immutable_options(),
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mutable_cf_options, &file_options_, job_id_, cfd->GetID(),
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cfd->GetName(), Env::IOPriority::IO_LOW, write_hint_,
|
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|
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io_tracer_, blob_callback_, BlobFileCreationReason::kCompaction,
|
2022-07-14 03:54:49 +00:00
|
|
|
&blob_file_paths,
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|
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sub_compact->Current().GetBlobFileAdditionsPtr())
|
2020-10-26 20:50:03 +00:00
|
|
|
: nullptr);
|
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|
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 =
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|
|
|
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_,
|
|
|
|
sub_compact->compaction, compaction_filter, shutting_down_,
|
2022-07-14 03:54:49 +00:00
|
|
|
db_options_.info_log, full_history_ts_low);
|
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));
|
|
|
|
|
2018-04-13 00:55:14 +00:00
|
|
|
if (c_iter->Valid() && sub_compact->compaction->output_level() != 0) {
|
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->FillFilesToCutForTtl();
|
2017-02-09 00:07:29 +00:00
|
|
|
// ShouldStopBefore() maintains state based on keys processed so far. The
|
|
|
|
// compaction loop always calls it on the "next" key, thus won't tell it the
|
|
|
|
// first key. So we do that here.
|
2022-07-14 03:54:49 +00:00
|
|
|
sub_compact->ShouldStopBefore(c_iter->key());
|
2017-02-09 00:07:29 +00:00
|
|
|
}
|
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);
|
|
|
|
};
|
|
|
|
const CompactionFileCloseFunc close_file_func =
|
|
|
|
[this, sub_compact](CompactionOutputs& outputs, const Status& status,
|
|
|
|
const Slice& next_table_min_key) {
|
|
|
|
return this->FinishCompactionOutputFile(status, sub_compact, outputs,
|
|
|
|
next_table_min_key);
|
|
|
|
};
|
2020-07-24 20:43:14 +00:00
|
|
|
|
2022-07-14 03:54:49 +00:00
|
|
|
Status status;
|
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.
|
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
|
|
|
|
2021-06-09 22:40:16 +00:00
|
|
|
assert(!end ||
|
|
|
|
cfd->user_comparator()->Compare(c_iter->user_key(), *end) < 0);
|
|
|
|
|
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();
|
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;
|
|
|
|
}
|
2022-07-14 03:54:49 +00:00
|
|
|
|
|
|
|
// TODO: Support earlier file cut for the penultimate level files. Maybe by
|
|
|
|
// moving `ShouldStopBefore()` to `CompactionOutputs` class. Currently
|
|
|
|
// the penultimate level output is only cut when it reaches the size limit.
|
|
|
|
if (!sub_compact->Current().IsPendingClose() &&
|
|
|
|
sub_compact->compaction->output_level() != 0 &&
|
|
|
|
!sub_compact->compaction->SupportsPerKeyPlacement() &&
|
|
|
|
sub_compact->ShouldStopBefore(c_iter->key())) {
|
|
|
|
sub_compact->Current().SetPendingClose();
|
2014-10-31 23:31:25 +00:00
|
|
|
}
|
|
|
|
}
|
2015-07-29 02:21:55 +00:00
|
|
|
|
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
|
|
|
}
|
|
|
|
|
2019-01-30 00:23:21 +00:00
|
|
|
sub_compact->compaction_job_stats.cpu_micros =
|
2022-03-21 23:11:02 +00:00
|
|
|
db_options_.clock->CPUMicros() - prev_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,
|
2022-07-14 03:54:49 +00:00
|
|
|
CompactionOutputs& outputs, const Slice& next_table_min_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()) {
|
|
|
|
s = outputs.AddRangeDels(sub_compact->start, sub_compact->end,
|
|
|
|
range_del_out_stats, bottommost_level_,
|
|
|
|
cfd->internal_comparator(), earliest_snapshot,
|
|
|
|
next_table_min_key);
|
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();
|
|
|
|
|
|
|
|
s = outputs.Finish(s);
|
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
|
|
|
|
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
|
|
|
// With accurate smallest and largest key, we can get a slightly more
|
|
|
|
// accurate oldest ancester time.
|
|
|
|
// This makes oldest ancester time in manifest more accurate than in
|
|
|
|
// table properties. Not sure how to resolve it.
|
|
|
|
if (meta->smallest.size() > 0 && meta->largest.size() > 0) {
|
|
|
|
uint64_t refined_oldest_ancester_time;
|
|
|
|
Slice new_smallest = meta->smallest.user_key();
|
|
|
|
Slice new_largest = meta->largest.user_key();
|
|
|
|
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
|
|
|
meta->oldest_ancester_time = refined_oldest_ancester_time;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
2017-09-07 21:11:15 +00:00
|
|
|
}
|
2014-10-31 23:31:25 +00:00
|
|
|
|
|
|
|
// Finish and check for file errors
|
2022-07-14 03:54:49 +00:00
|
|
|
IOStatus io_s = outputs.WriterSyncClose(s, db_options_.clock, stats_,
|
|
|
|
db_options_.use_fsync);
|
|
|
|
|
2020-07-15 18:02:44 +00:00
|
|
|
if (s.ok() && io_s.ok()) {
|
2020-08-25 17:44:39 +00:00
|
|
|
file_checksum = meta->file_checksum;
|
|
|
|
file_checksum_func_name = meta->file_checksum_func_name;
|
2020-03-29 22:57:02 +00:00
|
|
|
}
|
2022-07-14 03:54:49 +00:00
|
|
|
|
2020-07-15 18:02:44 +00:00
|
|
|
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
|
|
|
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()) {
|
|
|
|
sub_compact->io_status = io_s;
|
2020-09-16 22:45:30 +00:00
|
|
|
// Since this error is really a copy of the
|
|
|
|
// "normal" status, 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
|
|
|
|
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
|
|
|
|
2016-12-22 01:35:00 +00:00
|
|
|
#ifndef ROCKSDB_LITE
|
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
|
|
|
}
|
|
|
|
}
|
2016-12-22 01:35:00 +00:00
|
|
|
#endif
|
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(
|
2016-02-17 23:20:23 +00:00
|
|
|
const MutableCFOptions& mutable_cf_options) {
|
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
|
|
|
|
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
|
|
|
|
2022-06-21 18:56:53 +00:00
|
|
|
if (compaction->compaction_reason() == CompactionReason::kLevelMaxLevelSize &&
|
|
|
|
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,
|
|
|
|
vstorage->GetNextCompactCursor(start_level));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
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
|
|
|
return versions_->LogAndApply(compaction->column_family_data(),
|
2020-10-26 20:50:03 +00:00
|
|
|
mutable_cf_options, edit, db_mutex_,
|
|
|
|
db_directory_);
|
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();
|
|
|
|
#ifndef ROCKSDB_LITE
|
|
|
|
EventHelpers::NotifyTableFileCreationStarted(
|
|
|
|
cfd->ioptions()->listeners, dbname_, cfd->GetName(), fname, job_id_,
|
|
|
|
TableFileCreationReason::kCompaction);
|
|
|
|
#endif // !ROCKSDB_LITE
|
|
|
|
// 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
|
|
|
|
|
|
|
// Pass temperature of botommost files to FileSystem.
|
|
|
|
FileOptions fo_copy = file_options_;
|
2021-08-09 19:50:19 +00:00
|
|
|
Temperature temperature = sub_compact->compaction->output_temperature();
|
2022-07-14 03:54:49 +00:00
|
|
|
if (temperature == Temperature::kUnknown && bottommost_level_ &&
|
|
|
|
!sub_compact->IsCurrentPenultimateLevel()) {
|
2021-08-09 19:50:19 +00:00
|
|
|
temperature =
|
2021-05-03 20:30:00 +00:00
|
|
|
sub_compact->compaction->mutable_cf_options()->bottommost_temperature;
|
|
|
|
}
|
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;
|
|
|
|
if (sub_compact->start != nullptr) {
|
|
|
|
tmp_start.SetMinPossibleForUserKey(*(sub_compact->start));
|
|
|
|
}
|
|
|
|
if (sub_compact->end != nullptr) {
|
|
|
|
tmp_end.SetMinPossibleForUserKey(*(sub_compact->end));
|
|
|
|
}
|
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(
|
|
|
|
(sub_compact->start != nullptr) ? &tmp_start : nullptr,
|
|
|
|
(sub_compact->end != nullptr) ? &tmp_end : nullptr);
|
2022-05-05 20:08:21 +00:00
|
|
|
if (oldest_ancester_time == std::numeric_limits<uint64_t>::max()) {
|
2019-11-23 00:01:21 +00:00
|
|
|
oldest_ancester_time = current_time;
|
|
|
|
}
|
|
|
|
|
|
|
|
// Initialize a SubcompactionState::Output and add it to sub_compact->outputs
|
|
|
|
{
|
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;
|
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_,
|
|
|
|
db_options_.stats, 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
|
|
|
|
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()),
|
|
|
|
cfd->internal_comparator(), cfd->int_tbl_prop_collector_factories(),
|
|
|
|
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,
|
2021-04-29 13:59:53 +00:00
|
|
|
oldest_ancester_time, 0 /* oldest_key_time */, current_time, db_id_,
|
2021-06-10 18:01:44 +00:00
|
|
|
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
|
|
|
#ifndef ROCKSDB_LITE
|
|
|
|
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
|
|
|
|
|
|
|
|
#endif // !ROCKSDB_LITE
|
|
|
|
|
2015-07-14 07:09:20 +00:00
|
|
|
void CompactionJob::UpdateCompactionStats() {
|
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;
|
2015-06-18 06:40:34 +00:00
|
|
|
for (int input_level = 0;
|
|
|
|
input_level < static_cast<int>(compaction->num_input_levels());
|
|
|
|
++input_level) {
|
2016-11-29 18:49:47 +00:00
|
|
|
if (compaction->level(input_level) != compaction->output_level()) {
|
2015-06-18 06:40:34 +00:00
|
|
|
UpdateCompactionInputStatsHelper(
|
2022-07-14 03:54:49 +00:00
|
|
|
&compaction_stats_.stats.num_input_files_in_non_output_levels,
|
|
|
|
&compaction_stats_.stats.bytes_read_non_output_levels, input_level);
|
2015-06-18 06:40:34 +00:00
|
|
|
} else {
|
|
|
|
UpdateCompactionInputStatsHelper(
|
2022-07-14 03:54:49 +00:00
|
|
|
&compaction_stats_.stats.num_input_files_in_output_level,
|
|
|
|
&compaction_stats_.stats.bytes_read_output_level, input_level);
|
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();
|
2015-06-18 06:40:34 +00:00
|
|
|
}
|
|
|
|
|
2018-04-13 00:55:14 +00:00
|
|
|
void CompactionJob::UpdateCompactionInputStatsHelper(int* num_files,
|
|
|
|
uint64_t* bytes_read,
|
|
|
|
int input_level) {
|
2015-06-18 06:40:34 +00:00
|
|
|
const Compaction* compaction = compact_->compaction;
|
|
|
|
auto num_input_files = compaction->num_input_files(input_level);
|
|
|
|
*num_files += static_cast<int>(num_input_files);
|
|
|
|
|
|
|
|
for (size_t i = 0; i < num_input_files; ++i) {
|
|
|
|
const auto* file_meta = compaction->input(input_level, i);
|
|
|
|
*bytes_read += file_meta->fd.GetFileSize();
|
2022-07-14 03:54:49 +00:00
|
|
|
compaction_stats_.stats.num_input_records +=
|
2015-06-18 06:40:34 +00:00
|
|
|
static_cast<uint64_t>(file_meta->num_entries);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2015-06-03 00:07:16 +00:00
|
|
|
void CompactionJob::UpdateCompactionJobStats(
|
|
|
|
const InternalStats::CompactionStats& stats) const {
|
|
|
|
#ifndef ROCKSDB_LITE
|
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
|
|
|
}
|
2018-04-13 00:55:14 +00:00
|
|
|
#else
|
|
|
|
(void)stats;
|
2015-06-03 00:07:16 +00:00
|
|
|
#endif // !ROCKSDB_LITE
|
|
|
|
}
|
|
|
|
|
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
|
|
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char scratch[2345];
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compaction->Summary(scratch, sizeof(scratch));
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2017-03-16 02:22:52 +00:00
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ROCKS_LOG_INFO(db_options_.info_log, "[%s] Compaction start summary: %s\n",
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cfd->GetName().c_str(), scratch);
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2015-07-14 07:09:20 +00:00
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// build event logger report
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auto stream = event_logger_->Log();
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2018-04-13 00:55:14 +00:00
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stream << "job" << job_id_ << "event"
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<< "compaction_started"
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<< "compaction_reason"
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<< GetCompactionReasonString(compaction->compaction_reason());
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2015-07-14 07:09:20 +00:00
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for (size_t i = 0; i < compaction->num_input_levels(); ++i) {
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2022-05-06 20:03:58 +00:00
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stream << ("files_L" + std::to_string(compaction->level(i)));
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2015-07-14 07:09:20 +00:00
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stream.StartArray();
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for (auto f : *compaction->inputs(i)) {
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stream << f->fd.GetNumber();
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}
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stream.EndArray();
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}
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stream << "score" << compaction->score() << "input_data_size"
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<< compaction->CalculateTotalInputSize();
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}
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}
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2021-04-22 20:01:00 +00:00
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std::string CompactionJob::GetTableFileName(uint64_t file_number) {
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2021-06-16 23:50:43 +00:00
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return TableFileName(compact_->compaction->immutable_options()->cf_paths,
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2021-04-22 20:01:00 +00:00
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file_number, compact_->compaction->output_path_id());
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}
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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
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Env::IOPriority CompactionJob::GetRateLimiterPriority() {
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|
|
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if (versions_ && versions_->GetColumnFamilySet() &&
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|
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versions_->GetColumnFamilySet()->write_controller()) {
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WriteController* write_controller =
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versions_->GetColumnFamilySet()->write_controller();
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if (write_controller->NeedsDelay() || write_controller->IsStopped()) {
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return Env::IO_USER;
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}
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}
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return Env::IO_LOW;
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}
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2020-02-20 20:07:53 +00:00
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} // namespace ROCKSDB_NAMESPACE
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