mirror of https://github.com/facebook/rocksdb.git
178 Commits
| Author | SHA1 | Message | Date |
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Peter Dillinger
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8a36543326 |
Steps toward preserve/preclude options mutable (#13124)
Summary: Follow-up to https://github.com/facebook/rocksdb/issues/13114 This change makes the options mutable in testing only through some internal hooks, so that we can keep the easier mechanics and testing of making the options mutable separate from a more interesting and critical fix needed for the options to be *safely* mutable. See https://github.com/facebook/rocksdb/pull/9964/files#r1024449523 for some background on the interesting remaining problem, which we've added a test for here, with the failing piece commented out (because it puts the DB in a failure state): PrecludeLastLevelTest.RangeTombstoneSnapshotMigrateFromLast. The mechanics of making the options mutable turned out to be smaller than expected because `RegisterRecordSeqnoTimeWorker()` and `RecordSeqnoToTimeMapping()` are already robust to things like frequently switching between preserve/preclude durations e.g. with new and dropped column families, based on work from https://github.com/facebook/rocksdb/issues/11920, https://github.com/facebook/rocksdb/issues/11929, and https://github.com/facebook/rocksdb/issues/12253. Mostly, `options_mutex_` prevents races in applying the options changes, and smart capacity enforcement in `SeqnoToTimeMapping` means it doesn't really matter if the periodic task wakes up too often by being re-scheduled repeatedly. Functional changes needed other than marking mutable: * Update periodic task registration (as needed) from SetOptions, with a mapping recorded then also in case it's needed. * Install SuperVersion(s) with updated mapping when the registration function itself updates the mapping. Possible follow-up (aside from already mentioned): * Some FIXME code in RangeTombstoneSnapshotMigrateFromLast is present because Flush does not automatically include a seqno to time mapping entry that puts an upper bound on how new the flushed data is. This has the potential to be a measurable CPU impact so needs to be done carefully. Pull Request resolved: https://github.com/facebook/rocksdb/pull/13124 Test Plan: updated/refactored tests in tiered_compaction_test to parametrically use dynamic configuration changes (or DB restarts) when changing operating parameters such as these. CheckInternalKeyRange test got some heavier refactoring in preparation for follow-up, and manually verified that the test still fails when relevant `if (!safe_to_penultimate_level) ...` code is disabled. Reviewed By: jowlyzhang Differential Revision: D65634146 Pulled By: pdillinger fbshipit-source-id: 25c9d00fd5b7fd1b408b5f36d58dc48647970528 |
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Andrew Ryan Chang
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af2a36d2c7 |
Record newest_key_time as a table property (#13083)
Summary: This PR does two things: 1. Adds a new table property `newest_key_time` 2. Uses this property to improve TTL and temperature change compaction. ### Context The current `creation_time` table property should really be named `oldest_ancestor_time`. For flush output files, this is the oldest key time in the file. For compaction output files, this is the minimum among all oldest key times in the input files. The problem with using the oldest ancestor time for TTL compaction is that we may end up dropping files earlier than we should. What we really want is the newest (i.e. "youngest") key time. Right now we take a roundabout way to estimate this value -- we take the value of the _oldest_ key time for the _next_ (newer) SST file. This is also why the current code has checks for `index >= 1`. Our new property `newest_key_time` is set to the file creation time during flushes, and the max over all input files for compactions. There were some additional smaller changes that I had to make for testing purposes: - Refactoring the mock table reader to support specifying my own table properties - Refactoring out a test utility method `GetLevelFileMetadatas` that would otherwise be copy/pasted in 3 places Credit to cbi42 for the problem explanation and proposed solution ### Testing - Added a dedicated unit test to my `newest_key_time` logic in isolation (i.e. are we populating the property on flush and compaction) - Updated the existing unit tests (for TTL/temperate change compaction), which were comprehensive enough to break when I first made my code changes. I removed the test setup code which set the file metadata `oldest_ancestor_time`, so we know we are actually only using the new table property instead. Pull Request resolved: https://github.com/facebook/rocksdb/pull/13083 Reviewed By: cbi42 Differential Revision: D65298604 Pulled By: archang19 fbshipit-source-id: 898ef91b692ab33f5129a2a16b64ecadd4c32432 |
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Peter Dillinger
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4d3518951a |
Option to decouple index and filter partitions (#12939)
Summary: Partitioned metadata blocks were introduced back in 2017 to deal more gracefully with large DBs where RAM is relatively scarce and some data might be much colder than other data. The feature allows metadata blocks to compete for memory in the block cache against data blocks while alleviating tail latencies and thrash conditions that can arise with large metadata blocks (sometimes megabytes each) that can arise with large SST files. In general, the cost to partitioned metadata is more CPU in accesses (especially for filters where more binary search is needed before hashing can be used) and a bit more memory fragmentation and related overheads. However the feature has always had a subtle limitation with a subtle effect on performance: index partitions and filter partitions must be cut at the same time, regardless of which wins the space race (hahaha) to metadata_block_size. Commonly filters will be a few times larger than indexes, so index partitions will be under-sized compared to filter (and data) blocks. While this does affect fragmentation and related overheads a bit, I suspect the bigger impact on performance is in the block cache. The coupling of the partition cuts would be defensible if the binary search done to find the filter block was used (on filter hit) to short-circuit binary search to an index partition, but that optimization has not been developed. Consider two metadata blocks, an under-sized one and a normal-sized one, covering proportional sections of the key space with the same density of read queries. The under-sized one will be more prone to eviction from block cache because it is used less often. This is unfair because of its despite its proportionally smaller cost of keeping in block cache, and most of the cost of a miss to re-load it (random IO) is not proportional to the size (similar latency etc. up to ~32KB). ## This change Adds a new table option decouple_partitioned_filters allows filter blocks and index blocks to be cut independently. To make this work, the partitioned filter block builder needs to know about the previous key, to generate an appropriate separator for the partition index. In most cases, BlockBasedTableBuilder already has easy access to the previous key to provide to the filter block builder. This change includes refactoring to pass that previous key to the filter builder when available, with the filter building caching the previous key itself when unavailable, such as during compression dictionary training and some unit tests. Access to the previous key eliminates the need to track the previous prefix, which results in a small SST construction CPU win in prefix filtering cases, regardless of coupling, and possibly a small regression for some non-prefix cases, regardless of coupling, but still overall improvement especially with https://github.com/facebook/rocksdb/issues/12931. Suggested follow-up: * Update confusing use of "last key" to refer to "previous key" * Expand unit test coverage with parallel compression and dictionary training * Consider an option or enhancement to alleviate under-sized metadata blocks "at the end" of an SST file due to no coordination or awareness of when files are cut. Pull Request resolved: https://github.com/facebook/rocksdb/pull/12939 Test Plan: unit tests updated. Also did some unit test runs with "hard wired" usage of parallel compression and dictionary training code paths to ensure they were working. Also ran blackbox_crash_test for a while with the new feature. ## SST write performance (CPU) Using the same testing setup as in https://github.com/facebook/rocksdb/issues/12931 but with -decouple_partitioned_filters=1 in the "after" configuration, which benchmarking shows makes almost no difference in terms of SST write CPU. "After" vs. "before" this PR ``` -partition_index_and_filters=0 -prefix_size=0 -whole_key_filtering=1 923691 vs. 924851 (-0.13%) -partition_index_and_filters=0 -prefix_size=8 -whole_key_filtering=0 921398 vs. 922973 (-0.17%) -partition_index_and_filters=0 -prefix_size=8 -whole_key_filtering=1 902259 vs. 908756 (-0.71%) -partition_index_and_filters=1 -prefix_size=8 -whole_key_filtering=0 917932 vs. 916901 (+0.60%) -partition_index_and_filters=1 -prefix_size=8 -whole_key_filtering=0 912755 vs. 907298 (+0.60%) -partition_index_and_filters=1 -prefix_size=8 -whole_key_filtering=1 899754 vs. 892433 (+0.82%) ``` I think this is a pretty good trade, especially in attracting more movement toward partitioned configurations. ## Read performance Let's see how decoupling affects read performance across various degrees of memory constraint. To simplify LSM structure, we're using FIFO compaction. Since decoupling will overall increase metadata block size, we control for this somewhat with an extra "before" configuration with larger metadata block size setting (8k instead of 4k). Basic setup: ``` (for CS in 0300 1200; do TEST_TMPDIR=/dev/shm/rocksdb1 ./db_bench -benchmarks=fillrandom,flush,readrandom,block_cache_entry_stats -num=5000000 -duration=30 -disable_wal=1 -write_buffer_size=30000000 -bloom_bits=10 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=0 -partition_index_and_filters=1 -statistics=1 -cache_size=${CS}000000 -metadata_block_size=4096 -decouple_partitioned_filters=1 2>&1 | tee results-$CS; done) ``` And read ops/s results: ```CSV Cache size MB,After/decoupled/4k,Before/4k,Before/8k 3,15593,15158,12826 6,16295,16693,14134 10,20427,20813,18459 20,27035,26836,27384 30,33250,31810,33846 60,35518,32585,35329 100,36612,31805,35292 300,35780,31492,35481 1000,34145,31551,35411 1100,35219,31380,34302 1200,35060,31037,34322 ``` If you graph this with log scale on the X axis (internal link: https://pxl.cl/5qKRc), you see that the decoupled/4k configuration is essentially the best of both the before/4k and before/8k configurations: handles really tight memory closer to the old 4k configuration and handles generous memory closer to the old 8k configuration. Reviewed By: jowlyzhang Differential Revision: D61376772 Pulled By: pdillinger fbshipit-source-id: fc2af2aee44290e2d9620f79651a30640799e01f |
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Changyu Bi
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4384dd5eee |
Support ingesting SST files generated by a live DB (#12750)
Summary: ... to enable use cases like using RocksDB to merge sort data for ingestion. A new file ingestion option `IngestExternalFileOptions::allow_db_generated_files` is introduced to allows users to ingest SST files generated by live DBs instead of SstFileWriter. For now this only works if the SST files being ingested have zero as their largest sequence number AND do not overlap with any data in the DB (so we can assign seqno 0 which matches the seqno of all ingested keys). The feature is marked the option as experimental for now. Main changes needed to enable this: - ignore CF id mismatch during ingestion - ignore the missing external file version table property Rest of the change is mostly in new unit tests. A previous attempt is in https://github.com/facebook/rocksdb/issues/5602. Pull Request resolved: https://github.com/facebook/rocksdb/pull/12750 Test Plan: - new unit tests Reviewed By: ajkr, jowlyzhang Differential Revision: D58396673 Pulled By: cbi42 fbshipit-source-id: aae513afad7b1ff5d4faa48104df5f384926bf03 |
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Yu Zhang
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8b3d9e6bfe |
Add TimedPut to stress test (#12559)
Summary: This also updates WriteBatch's protection info to include write time since there are several places in memtable that by default protects the whole value slice. This PR is stacked on https://github.com/facebook/rocksdb/issues/12543 Pull Request resolved: https://github.com/facebook/rocksdb/pull/12559 Reviewed By: pdillinger Differential Revision: D56308285 Pulled By: jowlyzhang fbshipit-source-id: 5524339fe0dd6c918dc940ca2f0657b5f2111c56 |
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Changyu Bi
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5c1334f763 |
DeleteRange() return NotSupported if row_cache is configured (#12512)
Summary: ...since this feature combination is not supported yet (https://github.com/facebook/rocksdb/issues/4122). Pull Request resolved: https://github.com/facebook/rocksdb/pull/12512 Test Plan: new unit test. Reviewed By: jaykorean, jowlyzhang Differential Revision: D55820323 Pulled By: cbi42 fbshipit-source-id: eeb5e97d15c9bdc388793a2fb8e52cfa47e34bcf |
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Peter Dillinger
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b515a5db3f |
Replace ScopedArenaIterator with ScopedArenaPtr<InternalIterator> (#12470)
Summary: ScopedArenaIterator is not an iterator. It is a pointer wrapper. And we don't need a custom implemented pointer wrapper when std::unique_ptr can be instantiated with what we want. So this adds ScopedArenaPtr<T> to replace those uses. Pull Request resolved: https://github.com/facebook/rocksdb/pull/12470 Test Plan: CI (including ASAN/UBSAN) Reviewed By: jowlyzhang Differential Revision: D55254362 Pulled By: pdillinger fbshipit-source-id: cc96a0b9840df99aa807f417725e120802c0ae18 |
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Yu Zhang
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13e1c32a18 |
Follow ups for TimedPut and write time property (#12455)
Summary: This PR contains a few follow ups from https://github.com/facebook/rocksdb/issues/12419 and https://github.com/facebook/rocksdb/issues/12428 including: 1) Handle a special case for `WriteBatch::TimedPut`. When the user specified write time is `std::numeric_limits<uint64_t>::max()`, it's not treated as an error, but it instead creates and writes a regular `Put` entry. 2) Update the `InternalIterator::write_unix_time` APIs to handle `kTypeValuePreferredSeqno` entries. 3) FlushJob is updated to use the seqno to time mapping copy in `SuperVersion`. FlushJob currently copy the DB's seqno to time mapping while holding db mutex and only copies the part of interest, a.k.a, the part that only goes back to the earliest sequence number of the to-be-flushed memtables. While updating FlushJob to use the mapping copy in `SuperVersion`, it's given access to the full mapping to help cover the need to convert `kTypeValuePreferredSeqno`'s write time to preferred seqno as much as possible. Test plans: Added unit tests Pull Request resolved: https://github.com/facebook/rocksdb/pull/12455 Reviewed By: pdillinger Differential Revision: D55165422 Pulled By: jowlyzhang fbshipit-source-id: dc022653077f678c24661de5743146a74cce4b47 |
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Jay Huh
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b4e9f5a400 |
Update Remote Compaction Tests to include more than one CF (#12430)
Summary: Update `compaction_service_test` to make sure remote compaction works with multiple column family set up. Minor refactor to get rid of duplicate code Fixing one quick bug in the existing test util: Test util's `FilesPerLevel` didn't honor `cf_id` properly) Pull Request resolved: https://github.com/facebook/rocksdb/pull/12430 Test Plan: ``` ./compaction_service_test ``` Reviewed By: ajkr Differential Revision: D54883035 Pulled By: jaykorean fbshipit-source-id: 83b4f6f566fed5c4824bfef7de01074354a72b44 |
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Yu Zhang
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1104eaa35e |
Add initial support for TimedPut API (#12419)
Summary:
This PR adds support for `TimedPut` API. We introduced a new type `kTypeValuePreferredSeqno` for entries added to the DB via the `TimedPut` API.
The life cycle of such an entry on the write/flush/compaction paths are:
1) It is initially added to memtable as:
`<user_key, seq, kTypeValuePreferredSeqno>: {value, write_unix_time}`
2) When it's flushed to L0 sst files, it's converted to:
`<user_key, seq, kTypeValuePreferredSeqno>: {value, preferred_seqno}`
when we have easy access to the seqno to time mapping.
3) During compaction, if certain conditions are met, we swap in the `preferred_seqno` and the entry will become:
`<user_key, preferred_seqno, kTypeValue>: value`. This step helps fast track these entries to the cold tier if they are eligible after the sequence number swap.
On the read path:
A `kTypeValuePreferredSeqno` entry acts the same as a `kTypeValue` entry, the unix_write_time/preferred seqno part packed in value is completely ignored.
Needed follow ups:
1) The seqno to time mapping accessible in flush needs to be extended to cover the `write_unix_time` for possible `kTypeValuePreferredSeqno` entries. This also means we need to track these `write_unix_time` in memtable.
2) Compaction filter support for the new `kTypeValuePreferredSeqno` type for feature parity with other `kTypeValue` and equivalent types.
3) Stress test coverage for the feature
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12419
Test Plan: Added unit tests
Reviewed By: pdillinger
Differential Revision: D54920296
Pulled By: jowlyzhang
fbshipit-source-id: c8b43f7a7c465e569141770e93c748371ff1da9e
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Andrew Kryczka
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5a9ecf6614 |
Automated modernization (#12210)
Summary: Pull Request resolved: https://github.com/facebook/rocksdb/pull/12210 Reviewed By: hx235 Differential Revision: D52559771 Pulled By: ajkr fbshipit-source-id: 1ccdd3a0180cc02bc0441f20b0e4a1db50841b03 |
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Changyu Bi
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d5bc30befa |
Enforce status checking after Valid() returns false for IteratorWrapper (#11975)
Summary: ... when compiled with ASSERT_STATUS_CHECKED = 1. The main change is in iterator_wrapper.h. The remaining changes are just fixing existing unit tests. Adding this check to IteratorWrapper gives a good coverage as the class is used in many places, including child iterators under merging iterator, merging iterator under DB iter, file_iter under level iterator, etc. This change can catch the bug fixed in https://github.com/facebook/rocksdb/issues/11782. Future follow up: enable `ASSERT_STATUS_CHECKED=1` for stress test and for DEBUG_LEVEL=0. Pull Request resolved: https://github.com/facebook/rocksdb/pull/11975 Test Plan: * `ASSERT_STATUS_CHECKED=1 DEBUG_LEVEL=2 make -j32 J=32 check` * I tried to run stress test with `ASSERT_STATUS_CHECKED=1`, but there are a lot of existing stress code that ignore status checking, and fail without the change in this PR. So defer that to a follow up task. Reviewed By: ajkr Differential Revision: D50383790 Pulled By: cbi42 fbshipit-source-id: 1a28ce0f5fdf1890f93400b26b3b1b3a287624ce |
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Peter Dillinger
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1d5bddbc58 |
Bootstrap, pre-populate seqno_to_time_mapping (#11922)
Summary: This change has two primary goals (follow-up to https://github.com/facebook/rocksdb/issues/11917, https://github.com/facebook/rocksdb/issues/11920): * Ensure the DB seqno_to_time_mapping has entries that allow us to put a good time lower bound on any writes that happen after setting up preserve/preclude options (either in a new DB, new CF, SetOptions, etc.) and haven't yet aged out of that time window. This allows us to remove a bunch of work-arounds in tests. * For new DBs using preserve/preclude options, automatically reserve some sequence numbers and pre-map them to cover the time span back to the preserve/preclude cut-off time. In the future, this will allow us to import data from another DB by key, value, and write time by assigning an appropriate seqno in this DB for that write time. Note that the pre-population (historical mappings) does not happen if the original options at DB Open time do not have preserve/preclude, so it is recommended to create initial column families at that time with create_missing_column_families, to take advantage of this (future) feature. (Adding these historical mappings after DB Open would risk non-monotonic seqno_to_time_mapping, which is dubious if not dangerous.) Recommended follow-up: * Solve existing race conditions (not memory safety) where parallel operations like CreateColumnFamily or SetDBOptions could leave the wrong setting in effect. * Make SeqnoToTimeMapping more gracefully handle a possible case in which too many mappings are added for the time range of concern. It seems like there could be cases where data is massively excluded from the cold tier because of entries falling off the front of the mapping list (causing GetProximalSeqnoBeforeTime() to return 0). (More investigation needed.) No release note for the minor bug fix because this is still an experimental feature with limited usage. Pull Request resolved: https://github.com/facebook/rocksdb/pull/11922 Test Plan: tests added / updated Reviewed By: jowlyzhang Differential Revision: D49956563 Pulled By: pdillinger fbshipit-source-id: 92beb918c3a298fae9ca8e509717b1067caa1519 |
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anand76
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269478ee46 |
Support compressed and local flash secondary cache stacking (#11812)
Summary: This PR implements support for a three tier cache - primary block cache, compressed secondary cache, and a nvm (local flash) secondary cache. This allows more effective utilization of the nvm cache, and minimizes the number of reads from local flash by caching compressed blocks in the compressed secondary cache. The basic design is as follows - 1. A new secondary cache implementation, ```TieredSecondaryCache```, is introduced. It keeps the compressed and nvm secondary caches and manages the movement of blocks between them and the primary block cache. To setup a three tier cache, we allocate a ```CacheWithSecondaryAdapter```, with a ```TieredSecondaryCache``` instance as the secondary cache. 2. The table reader passes both the uncompressed and compressed block to ```FullTypedCacheInterface::InsertFull```, allowing the block cache to optionally store the compressed block. 3. When there's a miss, the block object is constructed and inserted in the primary cache, and the compressed block is inserted into the nvm cache by calling ```InsertSaved```. This avoids the overhead of recompressing the block, as well as avoiding putting more memory pressure on the compressed secondary cache. 4. When there's a hit in the nvm cache, we attempt to insert the block in the compressed secondary cache and the primary cache, subject to the admission policy of those caches (i.e admit on second access). Blocks/items evicted from any tier are simply discarded. We can easily implement additional admission policies if desired. Todo (In a subsequent PR): 1. Add to db_bench and run benchmarks 2. Add to db_stress Pull Request resolved: https://github.com/facebook/rocksdb/pull/11812 Reviewed By: pdillinger Differential Revision: D49461842 Pulled By: anand1976 fbshipit-source-id: b40ac1330ef7cd8c12efa0a3ca75128e602e3a0b |
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Changyu Bi
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76ed9a3990 |
Add missing status check when compiling with `ASSERT_STATUS_CHECKED=1` (#11686)
Summary:
It seems the flag `-fno-elide-constructors` is incorrectly overwritten in Makefile by
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Changyu Bi
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bc04ec85db |
Make option `level_compaction_dynamic_level_bytes` true by default (#11525)
Summary: after https://github.com/facebook/rocksdb/issues/11321 and https://github.com/facebook/rocksdb/issues/11340 (both included in RocksDB v8.2), migration from `level_compaction_dynamic_level_bytes=false` to `level_compaction_dynamic_level_bytes=true` is automatic by RocksDB and requires no manual compaction from user. Making the option true by default as it has several advantages: 1. better space amplification guarantee (a more stable LSM shape). 2. compaction is more adaptive to write traffic. 3. automatic draining of unneeded levels. Wiki is updated with more detail: https://github.com/facebook/rocksdb/wiki/Leveled-Compaction#option-level_compaction_dynamic_level_bytes-and-levels-target-size. The PR mostly contains fixes for unit tests as they assumed `level_compaction_dynamic_level_bytes=false`. Most notable change is commit |
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Changyu Bi
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a11f1e12ca |
Fix flaky test `DBTestUniversalManualCompactionOutputPathId.ManualCompactionOutputPathId` (#11412)
Summary: the test is flaky when compiled with `make -j56 COERCE_CONTEXT_SWITCH=1 ./db_universal_compaction_test`. The cause is that a manual compaction `CompactRange()` can finish and return before obsolete files are deleted. One reason for this is that a manual compaction waits until `manual.done` is set here |
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sdong
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4720ba4391 |
Remove RocksDB LITE (#11147)
Summary: We haven't been actively mantaining RocksDB LITE recently and the size must have been gone up significantly. We are removing the support. Most of changes were done through following comments: unifdef -m -UROCKSDB_LITE `git grep -l ROCKSDB_LITE | egrep '[.](cc|h)'` by Peter Dillinger. Others changes were manually applied to build scripts, CircleCI manifests, ROCKSDB_LITE is used in an expression and file db_stress_test_base.cc. Pull Request resolved: https://github.com/facebook/rocksdb/pull/11147 Test Plan: See CI Reviewed By: pdillinger Differential Revision: D42796341 fbshipit-source-id: 4920e15fc2060c2cd2221330a6d0e5e65d4b7fe2 |
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sdong
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2800aa069a |
Remove compressed block cache (#11117)
Summary: Compressed block cache is replaced by compressed secondary cache. Remove the feature. Pull Request resolved: https://github.com/facebook/rocksdb/pull/11117 Test Plan: See CI passes Reviewed By: pdillinger Differential Revision: D42700164 fbshipit-source-id: 6cbb24e460da29311150865f60ecb98637f9f67d |
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Peter Dillinger
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9f7801c5f1 |
Major Cache refactoring, CPU efficiency improvement (#10975)
Summary: This is several refactorings bundled into one to avoid having to incrementally re-modify uses of Cache several times. Overall, there are breaking changes to Cache class, and it becomes more of low-level interface for implementing caches, especially block cache. New internal APIs make using Cache cleaner than before, and more insulated from block cache evolution. Hopefully, this is the last really big block cache refactoring, because of rather effectively decoupling the implementations from the uses. This change also removes the EXPERIMENTAL designation on the SecondaryCache support in Cache. It seems reasonably mature at this point but still subject to change/evolution (as I warn in the API docs for Cache). The high-level motivation for this refactoring is to minimize code duplication / compounding complexity in adding SecondaryCache support to HyperClockCache (in a later PR). Other benefits listed below. * static_cast lines of code +29 -35 (net removed 6) * reinterpret_cast lines of code +6 -32 (net removed 26) ## cache.h and secondary_cache.h * Always use CacheItemHelper with entries instead of just a Deleter. There are several motivations / justifications: * Simpler for implementations to deal with just one Insert and one Lookup. * Simpler and more efficient implementation because we don't have to track which entries are using helpers and which are using deleters * Gets rid of hack to classify cache entries by their deleter. Instead, the CacheItemHelper includes a CacheEntryRole. This simplifies a lot of code (cache_entry_roles.h almost eliminated). Fixes https://github.com/facebook/rocksdb/issues/9428. * Makes it trivial to adjust SecondaryCache behavior based on kind of block (e.g. don't re-compress filter blocks). * It is arguably less convenient for many direct users of Cache, but direct users of Cache are now rare with introduction of typed_cache.h (below). * I considered and rejected an alternative approach in which we reduce customizability by assuming each secondary cache compatible value starts with a Slice referencing the uncompressed block contents (already true or mostly true), but we apparently intend to stack secondary caches. Saving an entry from a compressed secondary to a lower tier requires custom handling offered by SaveToCallback, etc. * Make CreateCallback part of the helper and introduce CreateContext to work with it (alternative to https://github.com/facebook/rocksdb/issues/10562). This cleans up the interface while still allowing context to be provided for loading/parsing values into primary cache. This model works for async lookup in BlockBasedTable reader (reader owns a CreateContext) under the assumption that it always waits on secondary cache operations to finish. (Otherwise, the CreateContext could be destroyed while async operation depending on it continues.) This likely contributes most to the observed performance improvement because it saves an std::function backed by a heap allocation. * Use char* for serialized data, e.g. in SaveToCallback, where void* was confusingly used. (We use `char*` for serialized byte data all over RocksDB, with many advantages over `void*`. `memcpy` etc. are legacy APIs that should not be mimicked.) * Add a type alias Cache::ObjectPtr = void*, so that we can better indicate the intent of the void* when it is to be the object associated with a Cache entry. Related: started (but did not complete) a refactoring to move away from "value" of a cache entry toward "object" or "obj". (It is confusing to call Cache a key-value store (like DB) when it is really storing arbitrary in-memory objects, not byte strings.) * Remove unnecessary key param from DeleterFn. This is good for efficiency in HyperClockCache, which does not directly store the cache key in memory. (Alternative to https://github.com/facebook/rocksdb/issues/10774) * Add allocator to Cache DeleterFn. This is a kind of future-proofing change in case we get more serious about using the Cache allocator for memory tracked by the Cache. Right now, only the uncompressed block contents are allocated using the allocator, and a pointer to that allocator is saved as part of the cached object so that the deleter can use it. (See CacheAllocationPtr.) If in the future we are able to "flatten out" our Cache objects some more, it would be good not to have to track the allocator as part of each object. * Removes legacy `ApplyToAllCacheEntries` and changes `ApplyToAllEntries` signature for Deleter->CacheItemHelper change. ## typed_cache.h Adds various "typed" interfaces to the Cache as internal APIs, so that most uses of Cache can use simple type safe code without casting and without explicit deleters, etc. Almost all of the non-test, non-glue code uses of Cache have been migrated. (Follow-up work: CompressedSecondaryCache deserves deeper attention to migrate.) This change expands RocksDB's internal usage of metaprogramming and SFINAE (https://en.cppreference.com/w/cpp/language/sfinae). The existing usages of Cache are divided up at a high level into these new interfaces. See updated existing uses of Cache for examples of how these are used. * PlaceholderCacheInterface - Used for making cache reservations, with entries that have a charge but no value. * BasicTypedCacheInterface<TValue> - Used for primary cache storage of objects of type TValue, which can be cleaned up with std::default_delete<TValue>. The role is provided by TValue::kCacheEntryRole or given in an optional template parameter. * FullTypedCacheInterface<TValue, TCreateContext> - Used for secondary cache compatible storage of objects of type TValue. In addition to BasicTypedCacheInterface constraints, we require TValue::ContentSlice() to return persistable data. This simplifies usage for the normal case of simple secondary cache compatibility (can give you a Slice to the data already in memory). In addition to TCreateContext performing the role of Cache::CreateContext, it is also expected to provide a factory function for creating TValue. * For each of these, there's a "Shared" version (e.g. FullTypedSharedCacheInterface) that holds a shared_ptr to the Cache, rather than assuming external ownership by holding only a raw `Cache*`. These interfaces introduce specific handle types for each interface instantiation, so that it's easy to see what kind of object is controlled by a handle. (Ultimately, this might not be worth the extra complexity, but it seems OK so far.) Note: I attempted to make the cache 'charge' automatically inferred from the cache object type, such as by expecting an ApproximateMemoryUsage() function, but this is not so clean because there are cases where we need to compute the charge ahead of time and don't want to re-compute it. ## block_cache.h This header is essentially the replacement for the old block_like_traits.h. It includes various things to support block cache access with typed_cache.h for block-based table. ## block_based_table_reader.cc Before this change, accessing the block cache here was an awkward mix of static polymorphism (template TBlocklike) and switch-case on a dynamic BlockType value. This change mostly unifies on static polymorphism, relying on minor hacks in block_cache.h to distinguish variants of Block. We still check BlockType in some places (especially for stats, which could be improved in follow-up work) but at least the BlockType is a static constant from the template parameter. (No more awkward partial redundancy between static and dynamic info.) This likely contributes to the overall performance improvement, but hasn't been tested in isolation. The other key source of simplification here is a more unified system of creating block cache objects: for directly populating from primary cache and for promotion from secondary cache. Both use BlockCreateContext, for context and for factory functions. ## block_based_table_builder.cc, cache_dump_load_impl.cc Before this change, warming caches was super ugly code. Both of these source files had switch statements to basically transition from the dynamic BlockType world to the static TBlocklike world. None of that mess is needed anymore as there's a new, untyped WarmInCache function that handles all the details just as promotion from SecondaryCache would. (Fixes `TODO akanksha: Dedup below code` in block_based_table_builder.cc.) ## Everything else Mostly just updating Cache users to use new typed APIs when reasonably possible, or changed Cache APIs when not. Pull Request resolved: https://github.com/facebook/rocksdb/pull/10975 Test Plan: tests updated Performance test setup similar to https://github.com/facebook/rocksdb/issues/10626 (by cache size, LRUCache when not "hyper" for HyperClockCache): 34MB 1thread base.hyper -> kops/s: 0.745 io_bytes/op: 2.52504e+06 miss_ratio: 0.140906 max_rss_mb: 76.4844 34MB 1thread new.hyper -> kops/s: 0.751 io_bytes/op: 2.5123e+06 miss_ratio: 0.140161 max_rss_mb: 79.3594 34MB 1thread base -> kops/s: 0.254 io_bytes/op: 1.36073e+07 miss_ratio: 0.918818 max_rss_mb: 45.9297 34MB 1thread new -> kops/s: 0.252 io_bytes/op: 1.36157e+07 miss_ratio: 0.918999 max_rss_mb: 44.1523 34MB 32thread base.hyper -> kops/s: 7.272 io_bytes/op: 2.88323e+06 miss_ratio: 0.162532 max_rss_mb: 516.602 34MB 32thread new.hyper -> kops/s: 7.214 io_bytes/op: 2.99046e+06 miss_ratio: 0.168818 max_rss_mb: 518.293 34MB 32thread base -> kops/s: 3.528 io_bytes/op: 1.35722e+07 miss_ratio: 0.914691 max_rss_mb: 264.926 34MB 32thread new -> kops/s: 3.604 io_bytes/op: 1.35744e+07 miss_ratio: 0.915054 max_rss_mb: 264.488 233MB 1thread base.hyper -> kops/s: 53.909 io_bytes/op: 2552.35 miss_ratio: 0.0440566 max_rss_mb: 241.984 233MB 1thread new.hyper -> kops/s: 62.792 io_bytes/op: 2549.79 miss_ratio: 0.044043 max_rss_mb: 241.922 233MB 1thread base -> kops/s: 1.197 io_bytes/op: 2.75173e+06 miss_ratio: 0.103093 max_rss_mb: 241.559 233MB 1thread new -> kops/s: 1.199 io_bytes/op: 2.73723e+06 miss_ratio: 0.10305 max_rss_mb: 240.93 233MB 32thread base.hyper -> kops/s: 1298.69 io_bytes/op: 2539.12 miss_ratio: 0.0440307 max_rss_mb: 371.418 233MB 32thread new.hyper -> kops/s: 1421.35 io_bytes/op: 2538.75 miss_ratio: 0.0440307 max_rss_mb: 347.273 233MB 32thread base -> kops/s: 9.693 io_bytes/op: 2.77304e+06 miss_ratio: 0.103745 max_rss_mb: 569.691 233MB 32thread new -> kops/s: 9.75 io_bytes/op: 2.77559e+06 miss_ratio: 0.103798 max_rss_mb: 552.82 1597MB 1thread base.hyper -> kops/s: 58.607 io_bytes/op: 1449.14 miss_ratio: 0.0249324 max_rss_mb: 1583.55 1597MB 1thread new.hyper -> kops/s: 69.6 io_bytes/op: 1434.89 miss_ratio: 0.0247167 max_rss_mb: 1584.02 1597MB 1thread base -> kops/s: 60.478 io_bytes/op: 1421.28 miss_ratio: 0.024452 max_rss_mb: 1589.45 1597MB 1thread new -> kops/s: 63.973 io_bytes/op: 1416.07 miss_ratio: 0.0243766 max_rss_mb: 1589.24 1597MB 32thread base.hyper -> kops/s: 1436.2 io_bytes/op: 1357.93 miss_ratio: 0.0235353 max_rss_mb: 1692.92 1597MB 32thread new.hyper -> kops/s: 1605.03 io_bytes/op: 1358.04 miss_ratio: 0.023538 max_rss_mb: 1702.78 1597MB 32thread base -> kops/s: 280.059 io_bytes/op: 1350.34 miss_ratio: 0.023289 max_rss_mb: 1675.36 1597MB 32thread new -> kops/s: 283.125 io_bytes/op: 1351.05 miss_ratio: 0.0232797 max_rss_mb: 1703.83 Almost uniformly improving over base revision, especially for hot paths with HyperClockCache, up to 12% higher throughput seen (1597MB, 32thread, hyper). The improvement for that is likely coming from much simplified code for providing context for secondary cache promotion (CreateCallback/CreateContext), and possibly from less branching in block_based_table_reader. And likely a small improvement from not reconstituting key for DeleterFn. Reviewed By: anand1976 Differential Revision: D42417818 Pulled By: pdillinger fbshipit-source-id: f86bfdd584dce27c028b151ba56818ad14f7a432 |
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Andrew Kryczka
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5cf6ab6f31 |
Ran clang-format on db/ directory (#10910)
Summary: Ran `find ./db/ -type f | xargs clang-format -i`. Excluded minor changes it tried to make on db/db_impl/. Everything else it changed was directly under db/ directory. Included minor manual touchups mentioned in PR commit history. Pull Request resolved: https://github.com/facebook/rocksdb/pull/10910 Reviewed By: riversand963 Differential Revision: D40880683 Pulled By: ajkr fbshipit-source-id: cfe26cda05b3fb9a72e3cb82c286e21d8c5c4174 |
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Peter Dillinger
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27c9705ac4 |
Use kXXH3 as default checksum (CPU efficiency) (#10778)
Summary:
Since this has been supported for about a year, I think it's time to make it the default. This should improve CPU efficiency slightly on most hardware.
A current DB performance comparison using buck+clang build:
```
TEST_TMPDIR=/dev/shm ./db_bench -checksum_type={1,4} -benchmarks=fillseq[-X1000] -num=3000000 -disable_wal
```
kXXH3 (+0.2% DB write throughput):
`fillseq [AVG 1000 runs] : 822149 (± 1004) ops/sec; 91.0 (± 0.1) MB/sec`
kCRC32c:
`fillseq [AVG 1000 runs] : 820484 (± 1203) ops/sec; 90.8 (± 0.1) MB/sec`
Micro benchmark comparison:
```
./db_bench --benchmarks=xxh3[-X20],crc32c[-X20]
```
Machine 1, buck+clang build:
`xxh3 [AVG 20 runs] : 3358616 (± 19091) ops/sec; 13119.6 (± 74.6) MB/sec`
`crc32c [AVG 20 runs] : 2578725 (± 7742) ops/sec; 10073.1 (± 30.2) MB/sec`
Machine 2, make+gcc build, DEBUG_LEVEL=0 PORTABLE=0:
`xxh3 [AVG 20 runs] : 6182084 (± 137223) ops/sec; 24148.8 (± 536.0) MB/sec`
`crc32c [AVG 20 runs] : 5032465 (± 42454) ops/sec; 19658.1 (± 165.8) MB/sec`
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10778
Test Plan: make check, unit tests updated
Reviewed By: ajkr
Differential Revision: D40112510
Pulled By: pdillinger
fbshipit-source-id: e59a8d50a60346137732f8668ba7cfac93be2b37
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Yueh-Hsuan Chiang
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e267909ecf |
Enable a multi-level db to smoothly migrate to FIFO via DB::Open (#10348)
Summary: FIFO compaction can theoretically open a DB with any compaction style. However, the current code only allows FIFO compaction to open a DB with a single level. This PR relaxes the limitation of FIFO compaction and allows it to open a DB with multiple levels. Below is the read / write / compaction behavior: * The read behavior is untouched, and it works like a regular rocksdb instance. * The write behavior is untouched as well. When a FIFO compacted DB is opened with multiple levels, all new files will still be in level 0, and no files will be moved to a different level. * Compaction logic is extended. It will first identify the bottom-most non-empty level. Then, it will delete the oldest file in that level. Pull Request resolved: https://github.com/facebook/rocksdb/pull/10348 Test Plan: Added a new test to verify the migration from level to FIFO where the db has multiple levels. Extended existing test cases in db_test and db_basic_test to also verify all entries of a key after reopening the DB with FIFO compaction. Reviewed By: jay-zhuang Differential Revision: D40233744 fbshipit-source-id: 6cc011d6c3467e6bfb9b6a4054b87619e69815e1 |
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Changyu Bi
|
30bc495c03 |
Skip swaths of range tombstone covered keys in merging iterator (2022 edition) (#10449)
Summary: Delete range logic is moved from `DBIter` to `MergingIterator`, and `MergingIterator` will seek to the end of a range deletion if possible instead of scanning through each key and check with `RangeDelAggregator`. With the invariant that a key in level L (consider memtable as the first level, each immutable and L0 as a separate level) has a larger sequence number than all keys in any level >L, a range tombstone `[start, end)` from level L covers all keys in its range in any level >L. This property motivates optimizations in iterator: - in `Seek(target)`, if level L has a range tombstone `[start, end)` that covers `target.UserKey`, then for all levels > L, we can do Seek() on `end` instead of `target` to skip some range tombstone covered keys. - in `Next()/Prev()`, if the current key is covered by a range tombstone `[start, end)` from level L, we can do `Seek` to `end` for all levels > L. This PR implements the above optimizations in `MergingIterator`. As all range tombstone covered keys are now skipped in `MergingIterator`, the range tombstone logic is removed from `DBIter`. The idea in this PR is similar to https://github.com/facebook/rocksdb/issues/7317, but this PR leaves `InternalIterator` interface mostly unchanged. **Credit**: the cascading seek optimization and the sentinel key (discussed below) are inspired by [Pebble](https://github.com/cockroachdb/pebble/blob/master/merging_iter.go) and suggested by ajkr in https://github.com/facebook/rocksdb/issues/7317. The two optimizations are mostly implemented in `SeekImpl()/SeekForPrevImpl()` and `IsNextDeleted()/IsPrevDeleted()` in `merging_iterator.cc`. See comments for each method for more detail. One notable change is that the minHeap/maxHeap used by `MergingIterator` now contains range tombstone end keys besides point key iterators. This helps to reduce the number of key comparisons. For example, for a range tombstone `[start, end)`, a `start` and an `end` `HeapItem` are inserted into the heap. When a `HeapItem` for range tombstone start key is popped from the minHeap, we know this range tombstone becomes "active" in the sense that, before the range tombstone's end key is popped from the minHeap, all the keys popped from this heap is covered by the range tombstone's internal key range `[start, end)`. Another major change, *delete range sentinel key*, is made to `LevelIterator`. Before this PR, when all point keys in an SST file are iterated through in `MergingIterator`, a level iterator would advance to the next SST file in its level. In the case when an SST file has a range tombstone that covers keys beyond the SST file's last point key, advancing to the next SST file would lose this range tombstone. Consequently, `MergingIterator` could return keys that should have been deleted by some range tombstone. We prevent this by pretending that file boundaries in each SST file are sentinel keys. A `LevelIterator` now only advance the file iterator once the sentinel key is processed. Pull Request resolved: https://github.com/facebook/rocksdb/pull/10449 Test Plan: - Added many unit tests in db_range_del_test - Stress test: `./db_stress --readpercent=5 --prefixpercent=19 --writepercent=20 -delpercent=10 --iterpercent=44 --delrangepercent=2` - Additional iterator stress test is added to verify against iterators against expected state: https://github.com/facebook/rocksdb/issues/10538. This is based on ajkr's previous attempt https://github.com/facebook/rocksdb/pull/5506#issuecomment-506021913. ``` python3 ./tools/db_crashtest.py blackbox --simple --write_buffer_size=524288 --target_file_size_base=524288 --max_bytes_for_level_base=2097152 --compression_type=none --max_background_compactions=8 --value_size_mult=33 --max_key=5000000 --interval=10 --duration=7200 --delrangepercent=3 --delpercent=9 --iterpercent=25 --writepercent=60 --readpercent=3 --prefixpercent=0 --num_iterations=1000 --range_deletion_width=100 --verify_iterator_with_expected_state_one_in=1 ``` - Performance benchmark: I used a similar setup as in the blog [post](http://rocksdb.org/blog/2018/11/21/delete-range.html) that introduced DeleteRange, "a database with 5 million data keys, and 10000 range tombstones (ignoring those dropped during compaction) that were written in regular intervals after 4.5 million data keys were written". As expected, the performance with this PR depends on the range tombstone width. ``` # Setup: TEST_TMPDIR=/dev/shm ./db_bench_main --benchmarks=fillrandom --writes=4500000 --num=5000000 TEST_TMPDIR=/dev/shm ./db_bench_main --benchmarks=overwrite --writes=500000 --num=5000000 --use_existing_db=true --writes_per_range_tombstone=50 # Scan entire DB TEST_TMPDIR=/dev/shm ./db_bench_main --benchmarks=readseq[-X5] --use_existing_db=true --num=5000000 --disable_auto_compactions=true # Short range scan (10 Next()) TEST_TMPDIR=/dev/shm/width-100/ ./db_bench_main --benchmarks=seekrandom[-X5] --use_existing_db=true --num=500000 --reads=100000 --seek_nexts=10 --disable_auto_compactions=true # Long range scan(1000 Next()) TEST_TMPDIR=/dev/shm/width-100/ ./db_bench_main --benchmarks=seekrandom[-X5] --use_existing_db=true --num=500000 --reads=2500 --seek_nexts=1000 --disable_auto_compactions=true ``` Avg over of 10 runs (some slower tests had fews runs): For the first column (tombstone), 0 means no range tombstone, 100-10000 means width of the 10k range tombstones, and 1 means there is a single range tombstone in the entire DB (width is 1000). The 1 tombstone case is to test regression when there's very few range tombstones in the DB, as no range tombstone is likely to take a different code path than with range tombstones. - Scan entire DB | tombstone width | Pre-PR ops/sec | Post-PR ops/sec | ±% | | ------------- | ------------- | ------------- | ------------- | | 0 range tombstone |2525600 (± 43564) |2486917 (± 33698) |-1.53% | | 100 |1853835 (± 24736) |2073884 (± 32176) |+11.87% | | 1000 |422415 (± 7466) |1115801 (± 22781) |+164.15% | | 10000 |22384 (± 227) |227919 (± 6647) |+918.22% | | 1 range tombstone |2176540 (± 39050) |2434954 (± 24563) |+11.87% | - Short range scan | tombstone width | Pre-PR ops/sec | Post-PR ops/sec | ±% | | ------------- | ------------- | ------------- | ------------- | | 0 range tombstone |35398 (± 533) |35338 (± 569) |-0.17% | | 100 |28276 (± 664) |31684 (± 331) |+12.05% | | 1000 |7637 (± 77) |25422 (± 277) |+232.88% | | 10000 |1367 |28667 |+1997.07% | | 1 range tombstone |32618 (± 581) |32748 (± 506) |+0.4% | - Long range scan | tombstone width | Pre-PR ops/sec | Post-PR ops/sec | ±% | | ------------- | ------------- | ------------- | ------------- | | 0 range tombstone |2262 (± 33) |2353 (± 20) |+4.02% | | 100 |1696 (± 26) |1926 (± 18) |+13.56% | | 1000 |410 (± 6) |1255 (± 29) |+206.1% | | 10000 |25 |414 |+1556.0% | | 1 range tombstone |1957 (± 30) |2185 (± 44) |+11.65% | - Microbench does not show significant regression: https://gist.github.com/cbi42/59f280f85a59b678e7e5d8561e693b61 Reviewed By: ajkr Differential Revision: D38450331 Pulled By: cbi42 fbshipit-source-id: b5ef12e8d8c289ed2e163ccdf277f5039b511fca |
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|
Jay Zhuang
|
faa0f9723c |
Tiered compaction: integrate Seqno time mapping with per key placement (#10370)
Summary: Using the Sequence number to time mapping to decide if a key is hot or not in compaction and place it in the corresponding level. Note: the feature is not complete, level compaction will run indefinitely until all penultimate level data is cold and small enough to not trigger compaction. Pull Request resolved: https://github.com/facebook/rocksdb/pull/10370 Test Plan: CI * Run basic db_bench for universal compaction manually Reviewed By: siying Differential Revision: D37892338 Pulled By: jay-zhuang fbshipit-source-id: 792bbd91b1ccc2f62b5d14c53118434bcaac4bbe |
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|
Hui Xiao
|
d665afdbf3 |
Account memory of FileMetaData in global memory limit (#9924)
Summary: **Context/Summary:** As revealed by heap profiling, allocation of `FileMetaData` for [newly created file added to a Version](https://github.com/facebook/rocksdb/pull/9924/files#diff-a6aa385940793f95a2c5b39cc670bd440c4547fa54fd44622f756382d5e47e43R774) can consume significant heap memory. This PR is to account that toward our global memory limit based on block cache capacity. Pull Request resolved: https://github.com/facebook/rocksdb/pull/9924 Test Plan: - Previous `make check` verified there are only 2 places where the memory of the allocated `FileMetaData` can be released - New unit test `TEST_P(ChargeFileMetadataTestWithParam, Basic)` - db bench (CPU cost of `charge_file_metadata` in write and compact) - **write micros/op: -0.24%** : `TEST_TMPDIR=/dev/shm/testdb ./db_bench -benchmarks=fillseq -db=$TEST_TMPDIR -charge_file_metadata=1 (remove this option for pre-PR) -disable_auto_compactions=1 -write_buffer_size=100000 -num=4000000 | egrep 'fillseq'` - **compact micros/op -0.87%** : `TEST_TMPDIR=/dev/shm/testdb ./db_bench -benchmarks=fillseq -db=$TEST_TMPDIR -charge_file_metadata=1 -disable_auto_compactions=1 -write_buffer_size=100000 -num=4000000 -numdistinct=1000 && ./db_bench -benchmarks=compact -db=$TEST_TMPDIR -use_existing_db=1 -charge_file_metadata=1 -disable_auto_compactions=1 | egrep 'compact'` table 1 - write #-run | (pre-PR) avg micros/op | std micros/op | (post-PR) micros/op | std micros/op | change (%) -- | -- | -- | -- | -- | -- 10 | 3.9711 | 0.264408 | 3.9914 | 0.254563 | 0.5111933721 20 | 3.83905 | 0.0664488 | 3.8251 | 0.0695456 | -0.3633711465 40 | 3.86625 | 0.136669 | 3.8867 | 0.143765 | 0.5289363078 80 | 3.87828 | 0.119007 | 3.86791 | 0.115674 | **-0.2673865734** 160 | 3.87677 | 0.162231 | 3.86739 | 0.16663 | **-0.2419539978** table 2 - compact #-run | (pre-PR) avg micros/op | std micros/op | (post-PR) micros/op | std micros/op | change (%) -- | -- | -- | -- | -- | -- 10 | 2,399,650.00 | 96,375.80 | 2,359,537.00 | 53,243.60 | -1.67 20 | 2,410,480.00 | 89,988.00 | 2,433,580.00 | 91,121.20 | 0.96 40 | 2.41E+06 | 121811 | 2.39E+06 | 131525 | **-0.96** 80 | 2.40E+06 | 134503 | 2.39E+06 | 108799 | **-0.78** - stress test: `python3 tools/db_crashtest.py blackbox --charge_file_metadata=1 --cache_size=1` killed as normal Reviewed By: ajkr Differential Revision: D36055583 Pulled By: hx235 fbshipit-source-id: b60eab94707103cb1322cf815f05810ef0232625 |
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anand76
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57997ddaaf |
Multi file concurrency in MultiGet using coroutines and async IO (#9968)
Summary: This PR implements a coroutine version of batched MultiGet in order to concurrently read from multiple SST files in a level using async IO, thus reducing the latency of the MultiGet. The API from the user perspective is still synchronous and single threaded, with the RocksDB part of the processing happening in the context of the caller's thread. In Version::MultiGet, the decision is made whether to call synchronous or coroutine code. A good way to review this PR is to review the first 4 commits in order - de773b3, 70c2f70, 10b50e1, and 377a597 - before reviewing the rest. TODO: 1. Figure out how to build it in CircleCI (requires some dependencies to be installed) 2. Do some stress testing with coroutines enabled No regression in synchronous MultiGet between this branch and main - ``` ./db_bench -use_existing_db=true --db=/data/mysql/rocksdb/prefix_scan -benchmarks="readseq,multireadrandom" -key_size=32 -value_size=512 -num=5000000 -batch_size=64 -multiread_batched=true -use_direct_reads=false -duration=60 -ops_between_duration_checks=1 -readonly=true -adaptive_readahead=true -threads=16 -cache_size=10485760000 -async_io=false -multiread_stride=40000 -statistics ``` Branch - ```multireadrandom : 4.025 micros/op 3975111 ops/sec 60.001 seconds 238509056 operations; 2062.3 MB/s (14767808 of 14767808 found)``` Main - ```multireadrandom : 3.987 micros/op 4013216 ops/sec 60.001 seconds 240795392 operations; 2082.1 MB/s (15231040 of 15231040 found)``` More benchmarks in various scenarios are given below. The measurements were taken with ```async_io=false``` (no coroutines) and ```async_io=true``` (use coroutines). For an IO bound workload (with every key requiring an IO), the coroutines version shows a clear benefit, being ~2.6X faster. For CPU bound workloads, the coroutines version has ~6-15% higher CPU utilization, depending on how many keys overlap an SST file. 1. Single thread IO bound workload on remote storage with sparse MultiGet batch keys (~1 key overlap/file) - No coroutines - ```multireadrandom : 831.774 micros/op 1202 ops/sec 60.001 seconds 72136 operations; 0.6 MB/s (72136 of 72136 found)``` Using coroutines - ```multireadrandom : 318.742 micros/op 3137 ops/sec 60.003 seconds 188248 operations; 1.6 MB/s (188248 of 188248 found)``` 2. Single thread CPU bound workload (all data cached) with ~1 key overlap/file - No coroutines - ```multireadrandom : 4.127 micros/op 242322 ops/sec 60.000 seconds 14539384 operations; 125.7 MB/s (14539384 of 14539384 found)``` Using coroutines - ```multireadrandom : 4.741 micros/op 210935 ops/sec 60.000 seconds 12656176 operations; 109.4 MB/s (12656176 of 12656176 found)``` 3. Single thread CPU bound workload with ~2 key overlap/file - No coroutines - ```multireadrandom : 3.717 micros/op 269000 ops/sec 60.000 seconds 16140024 operations; 139.6 MB/s (16140024 of 16140024 found)``` Using coroutines - ```multireadrandom : 4.146 micros/op 241204 ops/sec 60.000 seconds 14472296 operations; 125.1 MB/s (14472296 of 14472296 found)``` 4. CPU bound multi-threaded (16 threads) with ~4 key overlap/file - No coroutines - ```multireadrandom : 4.534 micros/op 3528792 ops/sec 60.000 seconds 211728728 operations; 1830.7 MB/s (12737024 of 12737024 found) ``` Using coroutines - ```multireadrandom : 4.872 micros/op 3283812 ops/sec 60.000 seconds 197030096 operations; 1703.6 MB/s (12548032 of 12548032 found) ``` Pull Request resolved: https://github.com/facebook/rocksdb/pull/9968 Reviewed By: akankshamahajan15 Differential Revision: D36348563 Pulled By: anand1976 fbshipit-source-id: c0ce85a505fd26ebfbb09786cbd7f25202038696 |
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Hui Xiao
|
3573558ec5 |
Rewrite memory-charging feature's option API (#9926)
Summary: **Context:** Previous PR https://github.com/facebook/rocksdb/pull/9748, https://github.com/facebook/rocksdb/pull/9073, https://github.com/facebook/rocksdb/pull/8428 added separate flag for each charged memory area. Such API design is not scalable as we charge more and more memory areas. Also, we foresee an opportunity to consolidate this feature with other cache usage related features such as `cache_index_and_filter_blocks` using `CacheEntryRole`. Therefore we decided to consolidate all these flags with `CacheUsageOptions cache_usage_options` and this PR serves as the first step by consolidating memory-charging related flags. **Summary:** - Replaced old API reference with new ones, including making `kCompressionDictionaryBuildingBuffer` opt-out and added a unit test for that - Added missing db bench/stress test for some memory charging features - Renamed related test suite to indicate they are under the same theme of memory charging - Refactored a commonly used mocked cache component in memory charging related tests to reduce code duplication - Replaced the phrases "memory tracking" / "cache reservation" (other than CacheReservationManager-related ones) with "memory charging" for standard description of this feature. Pull Request resolved: https://github.com/facebook/rocksdb/pull/9926 Test Plan: - New unit test for opt-out `kCompressionDictionaryBuildingBuffer` `TEST_F(ChargeCompressionDictionaryBuildingBufferTest, Basic)` - New unit test for option validation/sanitization `TEST_F(CacheUsageOptionsOverridesTest, SanitizeAndValidateOptions)` - CI - db bench (in case querying new options introduces regression) **+0.5% micros/op**: `TEST_TMPDIR=/dev/shm/testdb ./db_bench -benchmarks=fillseq -db=$TEST_TMPDIR -charge_compression_dictionary_building_buffer=1(remove this for comparison) -compression_max_dict_bytes=10000 -disable_auto_compactions=1 -write_buffer_size=100000 -num=4000000 | egrep 'fillseq'` #-run | (pre-PR) avg micros/op | std micros/op | (post-PR) micros/op | std micros/op | change (%) -- | -- | -- | -- | -- | -- 10 | 3.9711 | 0.264408 | 3.9914 | 0.254563 | 0.5111933721 20 | 3.83905 | 0.0664488 | 3.8251 | 0.0695456 | **-0.3633711465** 40 | 3.86625 | 0.136669 | 3.8867 | 0.143765 | **0.5289363078** - db_stress: `python3 tools/db_crashtest.py blackbox -charge_compression_dictionary_building_buffer=1 -charge_filter_construction=1 -charge_table_reader=1 -cache_size=1` killed as normal Reviewed By: ajkr Differential Revision: D36054712 Pulled By: hx235 fbshipit-source-id: d406e90f5e0c5ea4dbcb585a484ad9302d4302af |
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sdong
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736a7b5433 |
Remove own ToString() (#9955)
Summary: ToString() is created as some platform doesn't support std::to_string(). However, we've already used std::to_string() by mistake for 16 months (in db/db_info_dumper.cc). This commit just remove ToString(). Pull Request resolved: https://github.com/facebook/rocksdb/pull/9955 Test Plan: Watch CI tests Reviewed By: riversand963 Differential Revision: D36176799 fbshipit-source-id: bdb6dcd0e3a3ab96a1ac810f5d0188f684064471 |
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Peter Dillinger
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9d0cae7104 |
Eliminate unnecessary (slow) block cache Ref()ing in MultiGet (#9899)
Summary: When MultiGet() determines that multiple query keys can be served by examining the same data block in block cache (one Lookup()), each PinnableSlice referring to data in that data block needs to hold on to the block in cache so that they can be released at arbitrary times by the API user. Historically this is accomplished with extra calls to Ref() on the Handle from Lookup(), with each PinnableSlice cleanup calling Release() on the Handle, but this creates extra contention on the block cache for the extra Ref()s and Release()es, especially because they hit the same cache shard repeatedly. In the case of merge operands (possibly more cases?), the problem was compounded by doing an extra Ref()+eventual Release() for each merge operand for a key reusing a block (which could be the same key!), rather than one Ref() per key. (Note: the non-shared case with `biter` was already one per key.) This change optimizes MultiGet not to rely on these extra, contentious Ref()+Release() calls by instead, in the shared block case, wrapping the cache Release() cleanup in a refcounted object referenced by the PinnableSlices, such that after the last wrapped reference is released, the cache entry is Release()ed. Relaxed atomic refcounts should be much faster than mutex-guarded Ref() and Release(), and much less prone to a performance cliff when MultiGet() does a lot of block sharing. Note that I did not use std::shared_ptr, because that would require an extra indirection object (shared_ptr itself new/delete) in order to associate a ref increment/decrement with a Cleanable cleanup entry. (If I assumed it was the size of two pointers, I could do some hackery to make it work without the extra indirection, but that's too fragile.) Some details: * Fixed (removed) extra block cache tracing entries in cases of cache entry reuse in MultiGet, but it's likely that in some other cases traces are missing (XXX comment inserted) * Moved existing implementations for cleanable.h from iterator.cc to new cleanable.cc * Improved API comments on Cleanable * Added a public SharedCleanablePtr class to cleanable.h in case others could benefit from the same pattern (potentially many Cleanables and/or smart pointers referencing a shared Cleanable) * Add a typedef for MultiGetContext::Mask * Some variable renaming for clarity Pull Request resolved: https://github.com/facebook/rocksdb/pull/9899 Test Plan: Added unit tests for SharedCleanablePtr. Greatly enhanced ability of existing tests to detect cache use-after-free. * Release PinnableSlices from MultiGet as they are read rather than in bulk (in db_test_util wrapper). * In ASAN build, default to using a trivially small LRUCache for block_cache so that entries are immediately erased when unreferenced. (Updated two tests that depend on caching.) New ASAN testsuite running time seems OK to me. If I introduce a bug into my implementation where we skip the shared cleanups on block reuse, ASAN detects the bug in `db_basic_test *MultiGet*`. If I remove either of the above testing enhancements, the bug is not detected. Consider for follow-up work: manipulate or randomize ordering of PinnableSlice use and release from MultiGet db_test_util wrapper. But in typical cases, natural ordering gives pretty good functional coverage. Performance test: In the extreme (but possible) case of MultiGetting the same or adjacent keys in a batch, throughput can improve by an order of magnitude. `./db_bench -benchmarks=multireadrandom -db=/dev/shm/testdb -readonly -num=5 -duration=10 -threads=20 -multiread_batched -batch_size=200` Before ops/sec, num=5: 1,384,394 Before ops/sec, num=500: 6,423,720 After ops/sec, num=500: 10,658,794 After ops/sec, num=5: 16,027,257 Also note that previously, with high parallelism, having query keys concentrated in a single block was worse than spreading them out a bit. Now concentrated in a single block is faster than spread out, which is hopefully consistent with natural expectation. Random query performance: with num=1000000, over 999 x 10s runs running before & after simultaneously (each -threads=12): Before: multireadrandom [AVG 999 runs] : 1088699 (± 7344) ops/sec; 120.4 (± 0.8 ) MB/sec After: multireadrandom [AVG 999 runs] : 1090402 (± 7230) ops/sec; 120.6 (± 0.8 ) MB/sec Possibly better, possibly in the noise. Reviewed By: anand1976 Differential Revision: D35907003 Pulled By: pdillinger fbshipit-source-id: bbd244d703649a8ca12d476f2d03853ed9d1a17e |
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Levi Tamasi
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320d9a8e8a |
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 |
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Akanksha Mahajan
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9745c68eb1 |
Remove deprecated option new_table_reader_for_compaction_inputs (#9443)
Summary: In RocksDB option new_table_reader_for_compaction_inputs has not effect on Compaction or on the behavior of RocksDB library. Therefore, we are removing it in the upcoming 7.0 release. Pull Request resolved: https://github.com/facebook/rocksdb/pull/9443 Test Plan: CircleCI Reviewed By: ajkr Differential Revision: D33788508 Pulled By: akankshamahajan15 fbshipit-source-id: 324ca6f12bfd019e9bd5e1b0cdac39be5c3cec7d |
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Yanqin Jin
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d10c5c08d3 |
Remove iter_start_seqnum and preserve_deletes (#9430)
Summary: According to https://github.com/facebook/rocksdb/blob/6.27.fb/db/db_impl/db_impl.cc#L2896:L2911 and https://github.com/facebook/rocksdb/blob/6.27.fb/db/db_impl/db_impl_open.cc#L203:L208, we are going to remove `iter_start_seqnum` and `preserve_deletes` starting from RocksDB 7.0 Pull Request resolved: https://github.com/facebook/rocksdb/pull/9430 Test Plan: make check and CI Reviewed By: ajkr Differential Revision: D33753639 Pulled By: riversand963 fbshipit-source-id: c80aab8e8d8fc33e52472fed524ed703d0ffc8b6 |
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Hui Xiao
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1e0e883ca5 |
Remove deprecated API AdvancedColumnFamilyOptions::soft_rate_limit/hard_rate_limit (#9452)
Summary: **Context/Summary:** AdvancedColumnFamilyOptions::soft_rate_limit/hard_rate_limit have been marked as deprecated and it's time to actually remove the code. - Keep `soft_rate_limit`/`hard_rate_limit` in `cf_mutable_options_type_info` to prevent throwing `InvalidArgument` in `GetColumnFamilyOptionsFromMap` when reading an option file still with these options (e.g, old option file generated from RocksDB before the deprecation) - Keep `soft_rate_limit`/`hard_rate_limit` in under `OptionsOldApiTest.GetOptionsFromMapTest` to test the case mentioned above. Pull Request resolved: https://github.com/facebook/rocksdb/pull/9452 Test Plan: Rely on my eyeball and CI Reviewed By: ajkr Differential Revision: D33804938 Pulled By: hx235 fbshipit-source-id: 133d49f7ec5238d7efceeb0a3122a5792a2b9945 |
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Peter Dillinger
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5576ded762 |
Add Options::DisableExtraChecks, clarify force_consistency_checks (#9363)
Summary: In response to https://github.com/facebook/rocksdb/issues/9354, this PR adds a way for users to "opt out" of extra checks that can impact peak write performance, which currently only includes force_consistency_checks. I considered including some other options but did not see a db_bench performance difference. Also clarify in comment for force_consistency_checks that it can "slow down saturated writing." Pull Request resolved: https://github.com/facebook/rocksdb/pull/9363 Test Plan: basic coverage in unit tests Using my perf test in https://github.com/facebook/rocksdb/issues/9354 comment, I see force_consistency_checks=true -> 725360 ops/s force_consistency_checks=false -> 783072 ops/s Reviewed By: mrambacher Differential Revision: D33636559 Pulled By: pdillinger fbshipit-source-id: 25bfd006f4844675e7669b342817dd4c6a641e84 |
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Yanqin Jin
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bd513fd075 |
Add commit marker with timestamp (#9266)
Summary: Pull Request resolved: https://github.com/facebook/rocksdb/pull/9266 This diff adds a new tag `CommitWithTimestamp`. Currently, there is no API to trigger writing this tag to WAL, thus it is unavailable to users. This is an ongoing effort to add user-defined timestamp support to write-committed transactions. This diff also indicates all column families that may potentially participate in the same transaction must either disable timestamp or have the same timestamp format, since `CommitWithTimestamp` tag is followed by a single byte-array denoting the commit timestamp of the transaction. We will enforce this checking in a future diff. We keep this diff small. Reviewed By: ltamasi Differential Revision: D31721350 fbshipit-source-id: e1450811443647feb6ca01adec4c8aaae270ffc6 |
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Peter Dillinger
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653c392e47 |
More refactoring ahead of footer & meta changes (#9240)
Summary: I'm working on a new format_version=6 to support context checksum (https://github.com/facebook/rocksdb/issues/9058) and this includes much of the refactoring and test updates to support that change. Test coverage data and manual inspection agree on dead code in block_based_table_reader.cc (removed). Pull Request resolved: https://github.com/facebook/rocksdb/pull/9240 Test Plan: tests enhanced to cover more cases etc. Extreme case performance testing indicates small % regression in fillseq (w/ compaction), though CPU profile etc. doesn't suggest any explanation. There is enhanced correctness checking in Footer::DecodeFrom, but this should be negligible. TEST_TMPDIR=/dev/shm/ ./db_bench -benchmarks=fillseq -memtablerep=vector -allow_concurrent_memtable_write=false -num=30000000 -checksum_type=1 --disable_wal={false,true} (Each is ops/s averaged over 50 runs, run simultaneously with competing configuration for load fairness) Before w/ wal: 454512 After w/ wal: 444820 (-2.1%) Before w/o wal: 1004560 After w/o wal: 998897 (-0.6%) Since this doesn't modify WAL code, one would expect real effects to be larger in w/o wal case. This regression will be corrected in a follow-up PR. Reviewed By: ajkr Differential Revision: D32813769 Pulled By: pdillinger fbshipit-source-id: 444a244eabf3825cd329b7d1b150cddce320862f |
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Peter Dillinger
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a7d4bea43a |
Implement XXH3 block checksum type (#9069)
Summary: XXH3 - latest hash function that is extremely fast on large data, easily faster than crc32c on most any x86_64 hardware. In integrating this hash function, I have handled the compression type byte in a non-standard way to avoid using the streaming API (extra data movement and active code size because of hash function complexity). This approach got a thumbs-up from Yann Collet. Existing functionality change: * reject bad ChecksumType in options with InvalidArgument This change split off from https://github.com/facebook/rocksdb/issues/9058 because context-aware checksum is likely to be handled through different configuration than ChecksumType. Pull Request resolved: https://github.com/facebook/rocksdb/pull/9069 Test Plan: tests updated, and substantially expanded. Unit tests now check that we don't accidentally change the values generated by the checksum algorithms ("schema test") and that we properly handle invalid/unrecognized checksum types in options or in file footer. DBTestBase::ChangeOptions (etc.) updated from two to one configuration changing from default CRC32c ChecksumType. The point of this test code is to detect possible interactions among features, and the likelihood of some bad interaction being detected by including configurations other than XXH3 and CRC32c--and then not detected by stress/crash test--is extremely low. Stress/crash test also updated (manual run long enough to see it accepts new checksum type). db_bench also updated for microbenchmarking checksums. ### Performance microbenchmark (PORTABLE=0 DEBUG_LEVEL=0, Broadwell processor) ./db_bench -benchmarks=crc32c,xxhash,xxhash64,xxh3,crc32c,xxhash,xxhash64,xxh3,crc32c,xxhash,xxhash64,xxh3 crc32c : 0.200 micros/op 5005220 ops/sec; 19551.6 MB/s (4096 per op) xxhash : 0.807 micros/op 1238408 ops/sec; 4837.5 MB/s (4096 per op) xxhash64 : 0.421 micros/op 2376514 ops/sec; 9283.3 MB/s (4096 per op) xxh3 : 0.171 micros/op 5858391 ops/sec; 22884.3 MB/s (4096 per op) crc32c : 0.206 micros/op 4859566 ops/sec; 18982.7 MB/s (4096 per op) xxhash : 0.793 micros/op 1260850 ops/sec; 4925.2 MB/s (4096 per op) xxhash64 : 0.410 micros/op 2439182 ops/sec; 9528.1 MB/s (4096 per op) xxh3 : 0.161 micros/op 6202872 ops/sec; 24230.0 MB/s (4096 per op) crc32c : 0.203 micros/op 4924686 ops/sec; 19237.1 MB/s (4096 per op) xxhash : 0.839 micros/op 1192388 ops/sec; 4657.8 MB/s (4096 per op) xxhash64 : 0.424 micros/op 2357391 ops/sec; 9208.6 MB/s (4096 per op) xxh3 : 0.162 micros/op 6182678 ops/sec; 24151.1 MB/s (4096 per op) As you can see, especially once warmed up, xxh3 is fastest. ### Performance macrobenchmark (PORTABLE=0 DEBUG_LEVEL=0, Broadwell processor) Test for I in `seq 1 50`; do for CHK in 0 1 2 3 4; do TEST_TMPDIR=/dev/shm/rocksdb$CHK ./db_bench -benchmarks=fillseq -memtablerep=vector -allow_concurrent_memtable_write=false -num=30000000 -checksum_type=$CHK 2>&1 | grep 'micros/op' | tee -a results-$CHK & done; wait; done Results (ops/sec) for FILE in results*; do echo -n "$FILE "; awk '{ s += $5; c++; } END { print 1.0 * s / c; }' < $FILE; done results-0 252118 # kNoChecksum results-1 251588 # kCRC32c results-2 251863 # kxxHash results-3 252016 # kxxHash64 results-4 252038 # kXXH3 Reviewed By: mrambacher Differential Revision: D31905249 Pulled By: pdillinger fbshipit-source-id: cb9b998ebe2523fc7c400eedf62124a78bf4b4d1 |
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Peter Dillinger
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ad5325a736 |
Experimental support for SST unique IDs (#8990)
Summary: * New public header unique_id.h and function GetUniqueIdFromTableProperties which computes a universally unique identifier based on table properties of table files from recent RocksDB versions. * Generation of DB session IDs is refactored so that they are guaranteed unique in the lifetime of a process running RocksDB. (SemiStructuredUniqueIdGen, new test included.) Along with file numbers, this enables SST unique IDs to be guaranteed unique among SSTs generated in a single process, and "better than random" between processes. See https://github.com/pdillinger/unique_id * In addition to public API producing 'external' unique IDs, there is a function for producing 'internal' unique IDs, with functions for converting between the two. In short, the external ID is "safe" for things people might do with it, and the internal ID enables more "power user" features for the future. Specifically, the external ID goes through a hashing layer so that any subset of bits in the external ID can be used as a hash of the full ID, while also preserving uniqueness guarantees in the first 128 bits (bijective both on first 128 bits and on full 192 bits). Intended follow-up: * Use the internal unique IDs in cache keys. (Avoid conflicts with https://github.com/facebook/rocksdb/issues/8912) (The file offset can be XORed into the third 64-bit value of the unique ID.) * Publish the external unique IDs in FileStorageInfo (https://github.com/facebook/rocksdb/issues/8968) Pull Request resolved: https://github.com/facebook/rocksdb/pull/8990 Test Plan: Unit tests added, and checking of unique ids in stress test. NOTE in stress test we do not generate nearly enough files to thoroughly stress uniqueness, but the test trims off pieces of the ID to check for uniqueness so that we can infer (with some assumptions) stronger properties in the aggregate. Reviewed By: zhichao-cao, mrambacher Differential Revision: D31582865 Pulled By: pdillinger fbshipit-source-id: 1f620c4c86af9abe2a8d177b9ccf2ad2b9f48243 |
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mrambacher
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6924869867 |
Make SystemClock into a Customizable Class (#8636)
Summary: Made SystemClock into a Customizable class, complete with CreateFromString. Cleaned up some of the existing SystemClock implementations that were redundant (NoSleep was the same as the internal one for MockEnv). Changed MockEnv construction to allow Clock to be passed to the Memory/MockFileSystem. Pull Request resolved: https://github.com/facebook/rocksdb/pull/8636 Reviewed By: zhichao-cao Differential Revision: D30483360 Pulled By: mrambacher fbshipit-source-id: cd0e3a876c39f8c98fe13374c06e8edbd5b9f2a1 |
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Peter Dillinger
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c9cd5d25a8 |
Remove some unneeded code (#8736)
Summary: * FullKey and ParseFullKey appear to serve no purpose in the public API (or anything else) so removed. Only use in one test updated. * NumberToString serves no purpose vs. ToString so removed, numerous calls updated * Remove unnecessary forward declarations in metadata.h by re-arranging class definitions. * Remove some unneeded semicolons Pull Request resolved: https://github.com/facebook/rocksdb/pull/8736 Test Plan: existing tests Reviewed By: mrambacher Differential Revision: D30700039 Pulled By: pdillinger fbshipit-source-id: 1e436a576f511a6ed8b4d97af7cc8216bc729af2 |
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Mark Rambacher
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42ba60b3ba |
Make EncryptionProvider and BlockCipher into Customizable objects (#8354)
Summary: Made the EncryptionProvider and BlockCipher classes inherit from Customizable. Added/fixed the CreateFromString method to these classes to create instances from builtin or registered classes. Added tests to verify that instances can be registered and retrieved as appropriate. Added the ability to configure the builtin (CTR, ROT13) classes from configurable properties. Added the appropriate tests. Pull Request resolved: https://github.com/facebook/rocksdb/pull/8354 Reviewed By: zhichao-cao Differential Revision: D29558949 Pulled By: mrambacher fbshipit-source-id: c20286b32d179777e060f51a58943e9b0cf81d04 |
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mrambacher
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281ac9c89e |
Add CreateFrom methods to Env/FileSystem (#8174)
Summary: - Added CreateFromString method to Env and FilesSystem to replace LoadEnv/Load. This method/signature is a precursor to making these classes extend Customizable. - Added CreateFromSystem to Env. This method standardizes creating an Env from the environment variables. Previously, some places would check TEST_ENV_URI and others would also check TEST_FS_URI. Now the code is more command/standardized. - Added CreateFromFlags to Env. These method allows Env to be create from string options (such as GFLAGS options) in a more standard way. Pull Request resolved: https://github.com/facebook/rocksdb/pull/8174 Reviewed By: zhichao-cao Differential Revision: D28999603 Pulled By: mrambacher fbshipit-source-id: 88e6911e7e91f908458a7fe10a20e93ecbc275fb |
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Yanqin Jin
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a376c22066 |
Handle rename() failure in non-local FS (#8192)
Summary:
In a distributed environment, a file `rename()` operation can succeed on server (remote)
side, but the client can somehow return non-ok status to RocksDB. Possible reasons include
network partition, connection issue, etc. This happens in `rocksdb::SetCurrentFile()`, which
can be called in `LogAndApply() -> ProcessManifestWrites()` if RocksDB tries to switch to a
new MANIFEST. We currently always delete the new MANIFEST if an error occurs.
This is problematic in distributed world. If the server-side successfully updates the CURRENT
file via renaming, then a subsequent `DB::Open()` will try to look for the new MANIFEST and fail.
As a fix, we can track the execution result of IO operations on the new MANIFEST.
- If IO operations on the new MANIFEST fail, then we know the CURRENT must point to the original
MANIFEST. Therefore, it is safe to remove the new MANIFEST.
- If IO operations on the new MANIFEST all succeed, but somehow we end up in the clean up
code block, then we do not know whether CURRENT points to the new or old MANIFEST. (For local
POSIX-compliant FS, it should still point to old MANIFEST, but it does not matter if we keep the
new MANIFEST.) Therefore, we keep the new MANIFEST.
- Any future `LogAndApply()` will switch to a new MANIFEST and update CURRENT.
- If process reopens the db immediately after the failure, then the CURRENT file can point
to either the new MANIFEST or the old one, both of which exist. Therefore, recovery can
succeed and ignore the other.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8192
Test Plan: make check
Reviewed By: zhichao-cao
Differential Revision: D27804648
Pulled By: riversand963
fbshipit-source-id: 9c16f2a5ce41bc6aadf085e48449b19ede8423e4
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Justin Chapman
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d89483098f |
Assert unlimited max_open_files for FIFO compaction. (#8172)
Summary: Resolves https://github.com/facebook/rocksdb/issues/8014 - Add an assertion on `DB::Open` to ensure `db_options.max_open_files` is unlimited if FIFO Compaction is being used. - This is to align with what the docs mention and to prevent premature data deletion. - Update tests to work with this assertion. Pull Request resolved: https://github.com/facebook/rocksdb/pull/8172 Test Plan: ```bash $ make check -j$(nproc) Generated TARGETS Summary: - 6 libs - 0 binarys - 180 tests ``` Reviewed By: ajkr Differential Revision: D27768792 Pulled By: thejchap fbshipit-source-id: cf6350535e3a3577fec72bcba75b3c094dc7a6f3 |
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Akanksha Mahajan
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27d57a035e |
Use SST file manager to track blob files as well (#8037)
Summary: Extend support to track blob files in SST File manager. This PR notifies SstFileManager whenever a new blob file is created, via OnAddFile and an obsolete blob file deleted via OnDeleteFile and delete file via ScheduleFileDeletion. Pull Request resolved: https://github.com/facebook/rocksdb/pull/8037 Test Plan: Add new unit tests Reviewed By: ltamasi Differential Revision: D26891237 Pulled By: akankshamahajan15 fbshipit-source-id: 04c69ccfda2a73782fd5c51982dae58dd11979b6 |
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Peter Dillinger
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0028e3398b |
Make format_version=5 new default (#8017)
Summary: Haven't seen any production issues with new Bloom filter and it's now > 1 year old (added in 6.6.0). Updated check_format_compatible.sh and HISTORY.md Pull Request resolved: https://github.com/facebook/rocksdb/pull/8017 Test Plan: tests updated (or prior bugs fixed) Reviewed By: ajkr Differential Revision: D26762197 Pulled By: pdillinger fbshipit-source-id: 0e755c46b443087c1544da0fd545beb9c403d1c2 |
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Levi Tamasi
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974458891c |
Revert "Turn on memtable bloom filter by default. (#6584)" (#7939)
Summary:
This reverts commit
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sdong
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ee79a28963 |
Turn on memtable bloom filter by default. (#6584)
Summary: Memtable bloom filter is useful in many use cases. A default value on with conservative 1.5% memory can benefit more use cases than use cases impacted. Pull Request resolved: https://github.com/facebook/rocksdb/pull/6584 Test Plan: Run all existing tests. Reviewed By: pdillinger Differential Revision: D20626739 fbshipit-source-id: 1dd45532b932139552519b8c2682bd954550c2f9 |
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mrambacher
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12f1137355 |
Add a SystemClock class to capture the time functions of an Env (#7858)
Summary: Introduces and uses a SystemClock class to RocksDB. This class contains the time-related functions of an Env and these functions can be redirected from the Env to the SystemClock. Many of the places that used an Env (Timer, PerfStepTimer, RepeatableThread, RateLimiter, WriteController) for time-related functions have been changed to use SystemClock instead. There are likely more places that can be changed, but this is a start to show what can/should be done. Over time it would be nice to migrate most (if not all) of the uses of the time functions from the Env to the SystemClock. There are several Env classes that implement these functions. Most of these have not been converted yet to SystemClock implementations; that will come in a subsequent PR. It would be good to unify many of the Mock Timer implementations, so that they behave similarly and be tested similarly (some override Sleep, some use a MockSleep, etc). Additionally, this change will allow new methods to be introduced to the SystemClock (like https://github.com/facebook/rocksdb/issues/7101 WaitFor) in a consistent manner across a smaller number of classes. Pull Request resolved: https://github.com/facebook/rocksdb/pull/7858 Reviewed By: pdillinger Differential Revision: D26006406 Pulled By: mrambacher fbshipit-source-id: ed10a8abbdab7ff2e23d69d85bd25b3e7e899e90 |