Summary:
Fix the test added in https://github.com/facebook/rocksdb/issues/11459 that is failing.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11512
Test Plan: `./db_range_del_test --gtest_filter="*NonBottommostCompactionDropRangetombstone"`
Reviewed By: pdillinger
Differential Revision: D46451450
Pulled By: cbi42
fbshipit-source-id: bcad20b8fd21c4f71924cec6cb045ee4b2038b90
Summary:
Switch from std::unordered_map to RocksDB UnorderedMap for all the places that logging user-defined timestamp size in WAL used.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11507
Test Plan:
```
make all check
```
Reviewed By: ltamasi
Differential Revision: D46448975
Pulled By: jowlyzhang
fbshipit-source-id: bdb4d56a723b697a33daaf0f856a61d49a367a99
Summary:
Similar to point tombstones, we can drop a range tombstone during compaction when we know its range does not exist in any higher level. This PR adds this optimization. Some existing test in db_range_del_test is fixed to work under this optimization.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11459
Test Plan:
* Add unit test `DBRangeDelTest, NonBottommostCompactionDropRangetombstone`.
* Ran crash test that issues range deletion for a few hours: `python3 tools/db_crashtest.py blackbox --simple --write_buffer_size=1048576 --delrangepercent=10 --writepercent=31 --readpercent=40`
Reviewed By: ajkr
Differential Revision: D46007904
Pulled By: cbi42
fbshipit-source-id: 3f37205b6778b7d55ed106369ca41b0632a6d0fd
Summary:
Follow a couple best practices:
- Allowed Google benchmark to decide number of iterations. Previously we hardcoded a value, which circumvented benchmark's heuristic for iterating until the result is stable.
- Made each iteration do similar work. Previously, an iteration could do different work depending if the key was found in the first, second, third, or no L0 file.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11498
Test Plan: none as I am unable to prove it is better
Reviewed By: hx235
Differential Revision: D46339050
Pulled By: ajkr
fbshipit-source-id: fcfc6da4111c5b3ae86d79d908afc5f61f96675b
Summary:
currently for leveled compaction, the max output level of a call to `CompactRange()` is pre-computed before compacting each level. This max output level is the max level whose key range overlaps with the manual compaction key range. However, during manual compaction, files in the max output level may be compacted down further by some background compaction. When this background compaction is a trivial move, there is a race condition and the manual compaction may not be able to compact all keys in the specified key range. This PR updates `CompactRange()` to always compact to the bottommost level to make this race condition more unlikely (it can still happen, see more in comment here: 796f58f42a/db/db_impl/db_impl_compaction_flush.cc (L1180C29-L1184)).
This PR also changes the behavior of CompactRange() when `bottommost_level_compaction=kIfHaveCompactionFilter` (the default option). The old behavior is that, if a compaction filter is provided, CompactRange() always does an intra-level compaction at the final output level for all files in the manual compaction key range. The only exception when `first_overlapped_level = 0` and `max_overlapped_level = 0`. It’s awkward to maintain the same behavior after this PR since we do not compute max_overlapped_level anymore. So the new behavior is similar to kForceOptimized: always does intra-level compaction at the bottommost level, but not including new files generated during this manual compaction.
Several unit tests are updated to work with this new manual compaction behavior.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11468
Test Plan: Add new unit tests `DBCompactionTest.ManualCompactionCompactAllKeysInRange*`
Reviewed By: ajkr
Differential Revision: D46079619
Pulled By: cbi42
fbshipit-source-id: 19d844ba4ec8dc1a0b8af5d2f36ff15820c6e76f
Summary:
Add support to strip timestamp in block based table builder and pad timestamp in block based table reader.
On the write path, use the per column family option `AdvancedColumnFamilyOptions.persist_user_defined_timestamps` to indicate whether user-defined timestamps should be stripped for all block based tables created for the column family.
On the read path, added a per table `TableReadOption.user_defined_timestamps_persisted` to flag whether the user keys in the table contains user defined timestamps.
This patch is mostly passing the related flags down to the block building/parsing level with the exception of handling the `first_internal_key` in `IndexValue`, which is included in the `IndexBuilder` level. The value part of range deletion entries should have a similar handling, I haven't decided where to best fit this piece of logic, I will do it in a follow up.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11495
Test Plan:
Existing test `BlockBasedTableReaderTest` is parameterized to run with:
1) different UDT test modes: kNone, kNormal, kStripUserDefinedTimestamp
2) all four index types, when index type is `kTwoLevelIndexSearch`, also enables partitioned filters
3) parallel vs non-parallel compression
4) enable/disable compression dictionary.
Also added tests for API `BlockBasedTableReader::NewIterator`.
`PartitionedFilterBlockTest` is parameterized to run with different UDT test modes:kNone, kNormal, kStripUserDefinedTimestamp.
```
make all check
./block_based_table_reader_test
./partitioned_filter_block_test
```
Reviewed By: ltamasi
Differential Revision: D46344577
Pulled By: jowlyzhang
fbshipit-source-id: 93ac8542b19319d1298712b8bed908c8831ba675
Summary:
I got the following errors when running `unreleased_history/release.sh` on my mac. This is due to mac does not have gnu version of awk and find by default. This PR updates the script to work on macOS.
```
awk: calling undefined function strftime
input record number 43, file
source line number 4
find: -regextype: unknown primary or operator
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11494
Test Plan: manually run `DRY_RUN=1 unreleased_history/release.sh | less` on macOS and CentOS8 machines.
Reviewed By: ajkr
Differential Revision: D46328442
Pulled By: cbi42
fbshipit-source-id: a7570cd3480fcd25ac1438beb0d59fe655f9a71a
Summary:
Context:
As mentioned in https://github.com/facebook/rocksdb/issues/11436, introducing `flush` option in `WaitForCompactOptions` to flush before waiting for compactions to finish. Must be set to true to ensure no immediate compactions (except perhaps periodic compactions) after closing and re-opening the DB.
1. `bool flush = false` added to `WaitForCompactOptions`
2. `DBImpl::FlushAllColumnFamilies()` is introduced and `DBImpl::FlushForGetLiveFiles()` is refactored to call it.
3. `DBImpl::FlushAllColumnFamilies()` gets called before waiting in `WaitForCompact()` if `flush` option is `true`
4. Some previous WaitForCompact tests were parameterized to include both cases for `abort_on_pause_` being true/false as well as `flush_` being true/false
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11483
Test Plan:
- `DBCompactionTest::WaitForCompactWithOptionToFlush` added
- Changed existing DBCompactionTest::WaitForCompact tests to `DBCompactionWaitForCompactTest` to include params
Reviewed By: pdillinger
Differential Revision: D46289770
Pulled By: jaykorean
fbshipit-source-id: 70d3f461d96a6e06390be60170dd7c4d0d38f8b0
Summary:
Start logging the timestamp size record in WAL and use the record during recovery. Currently, user comparator cannot be different from what was used to create a column family, so the timestamp size record is just used to confirm it's consistent with the timestamp size the running user comparator indicates.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11471
Test Plan:
```
make all check
./db_secondary_test
./db_wal_test --gtest_filter="*WithTimestamp*"
./repair_test --gtest_filter="*WithTimestamp*"
```
Reviewed By: ltamasi
Differential Revision: D46236769
Pulled By: jowlyzhang
fbshipit-source-id: f6c60b5c8defdb05021c63df302ccc0be1275ad0
Summary:
See new NOTE in HISTORY.md and unreleased_history/README.txt
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11481
Test Plan: some manual testing on my CentOS 8 system
Reviewed By: jaykorean
Differential Revision: D46233342
Pulled By: pdillinger
fbshipit-source-id: daf59cf3dc907f450b469090dcc481a30a7d7c0d
Summary:
This draft PR implements charging of reserved memory, for write buffers, table readers, and other purposes, proportionally to the block cache and the compressed secondary cache. The basic flow of memory reservation is maintained - clients use ```CacheReservationManager``` to request reservations, and ```CacheReservationManager``` inserts placeholder entries, i.e null value and non-zero charge, into the block cache. The ```CacheWithSecondaryAdapter``` wrapper uses its own instance of ```CacheReservationManager``` to keep track of reservations charged to the secondary cache, while the placeholder entries are inserted into the primary block cache. The design is as follows.
When ```CacheWithSecondaryAdapter``` is constructed with the ```distribute_cache_res``` parameter set to true, it manages the entire memory budget across the primary and secondary cache. The secondary cache is assumed to be in memory, such as the ```CompressedSecondaryCache```. When a placeholder entry is inserted by a CacheReservationManager instance to reserve memory, the ```CacheWithSecondaryAdapter```ensures that the reservation is distributed proportionally across the primary/secondary caches.
The primary block cache is initially sized to the sum of the primary cache budget + the secondary cache budget, as follows -
|--------- Primary Cache Configured Capacity -----------|
|---Secondary Cache Budget----|----Primary Cache Budget-----|
A ```ConcurrentCacheReservationManager``` member in the ```CacheWithSecondaryAdapter```, ```pri_cache_res_```, is used to help with tracking the distribution of memory reservations. Initially, it accounts for the entire secondary cache budget as a reservation against the primary cache. This shrinks the usable capacity of the primary cache to the budget that the user originally desired.
|--Reservation for Sec Cache--|-Pri Cache Usable Capacity---|
When a reservation placeholder is inserted into the adapter, it is inserted directly into the primary cache. This means the entire charge of the placeholder is counted against the primary cache. To compensate and count a portion of it against the secondary cache, the secondary cache ```Deflate()``` method is called to shrink it. Since the ```Deflate()``` causes the secondary actual usage to shrink, it is reflected here by releasing an equal amount from the ```pri_cache_res_``` reservation.
For example, if the pri/sec ratio is 50/50, this would be the state after placeholder insertion -
|-Reservation for Sec Cache-|-Pri Cache Usable Capacity-|-R-|
Likewise, when the user inserted placeholder is released, the secondary cache ```Inflate()``` method is called to grow it, and the ```pri_cache_res_``` reservation is increased by an equal amount.
Other alternatives -
1. Another way of implementing this would have been to simply split the user reservation in ```CacheWithSecondaryAdapter``` into primary and secondary components. However, this would require allocating a structure to track the associated secondary cache reservation, which adds some complexity and overhead.
2. Yet another option is to implement the splitting directly in ```CacheReservationManager```. However, there are multiple instances of ```CacheReservationManager``` in a DB instance, making it complicated to keep track of them.
The PR contains the following changes -
1. A new cache allocator, ```NewTieredVolatileCache()```, is defined for allocating a tiered primary block cache and compressed secondary cache. This internally allocates an instance of ```CacheWithSecondaryAdapter```.
3. New interfaces, ```Deflate()``` and ```Inflate()```, are added to the ```SecondaryCache``` interface. The default implementaion returns ```NotSupported``` with overrides in ```CompressedSecondaryCache```.
4. The ```CompressedSecondaryCache``` uses a ```ConcurrentCacheReservationManager``` instance to manage reservations done using ```Inflate()/Deflate()```.
5. The ```CacheWithSecondaryAdapter``` optionally distributes memory reservations across the primary and secondary caches. The primary cache is sized to the total memory budget (primary + secondary), and the capacity allocated to secondary cache is "reserved" against the primary cache. For any subsequent reservations, the primary cache pre-reserved capacity is adjusted.
Benchmarks -
Baseline
```
time ~/rocksdb_anand76/db_bench --db=/dev/shm/comp_cache_res/base --use_existing_db=true --benchmarks="readseq,readwhilewriting" --key_size=32 --value_size=1024 --num=20000000 --threads=32 --bloom_bits=10 --cache_size=30000000000 --use_compressed_secondary_cache=true --compressed_secondary_cache_size=5000000000 --duration=300 --cost_write_buffer_to_cache=true
```
```
readseq : 3.301 micros/op 9694317 ops/sec 66.018 seconds 640000000 operations; 9763.0 MB/s
readwhilewriting : 22.921 micros/op 1396058 ops/sec 300.021 seconds 418846968 operations; 1405.9 MB/s (13068999 of 13068999 found)
real 6m31.052s
user 152m5.660s
sys 26m18.738s
```
With TieredVolatileCache
```
time ~/rocksdb_anand76/db_bench --db=/dev/shm/comp_cache_res/base --use_existing_db=true --benchmarks="readseq,readwhilewriting" --key_size=32 --value_size=1024 --num=20000000 --threads=32 --bloom_bits=10 --cache_size=30000000000 --use_compressed_secondary_cache=true --compressed_secondary_cache_size=5000000000 --duration=300 --cost_write_buffer_to_cache=true --use_tiered_volatile_cache=true
```
```
readseq : 4.064 micros/op 7873915 ops/sec 81.281 seconds 640000000 operations; 7929.7 MB/s
readwhilewriting : 20.944 micros/op 1527827 ops/sec 300.020 seconds 458378968 operations; 1538.6 MB/s (14296999 of 14296999 found)
real 6m42.743s
user 157m58.972s
sys 33m16.671
```
```
readseq : 3.484 micros/op 9184967 ops/sec 69.679 seconds 640000000 operations; 9250.0 MB/s
readwhilewriting : 21.261 micros/op 1505035 ops/sec 300.024 seconds 451545968 operations; 1515.7 MB/s (14101999 of 14101999 found)
real 6m31.469s
user 155m16.570s
sys 27m47.834s
```
ToDo -
1. Add to db_stress
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11449
Reviewed By: pdillinger
Differential Revision: D46197388
Pulled By: anand1976
fbshipit-source-id: 42d16f0254df683db4929db20d06ff26030e90df
Summary:
Together with the existing constructor,
`explicit WriteBatch(std::string&& rep)`, this enables transferring `WriteBatch` via its `std::string` representation. Associated info like KV checksums are dropped but the caller can use `WriteBatch::VerifyChecksum()` before taking ownership if needed.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11482
Reviewed By: cbi42
Differential Revision: D46233884
Pulled By: ajkr
fbshipit-source-id: 6bc64a6e75fb7bbf61d08c09520fc3705a7b44d8
Summary:
`output_level_` and `number_levels_` are not changing in iteration of `inputs_` files.
Moving the check out of `for` loop could slightly improve performance.
It is easier to review when ignore whitespace changes.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11467
Reviewed By: cbi42
Differential Revision: D46155962
Pulled By: ajkr
fbshipit-source-id: 45ec80b13152b3bed7305e6f707cb9b187d5f315
Summary:
Context:
Because of the branch cut, History change made it to the previous release. Moving entry to Unreleased
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11479
Test Plan: History change. Not needed.
Reviewed By: pdillinger
Differential Revision: D46226237
Pulled By: jaykorean
fbshipit-source-id: 33e7d84a05db254d227f05d76038fc6d225dbabf
Summary:
Context:
This is the first PR for WaitForCompact() Implementation with WaitForCompactOptions. In this PR, we are introducing `Status WaitForCompact(const WaitForCompactOptions& wait_for_compact_options)` in the public API. This currently utilizes the existing internal `WaitForCompact()` implementation (with default abort_on_pause = false). `abort_on_pause` has been moved to `WaitForCompactOptions&`. In the later PRs, we will introduce the following two options in `WaitForCompactOptions`
1. `bool flush = false` by default - If true, flush before waiting for compactions to finish. Must be set to true to ensure no immediate compactions (except perhaps periodic compactions) after closing and re-opening the DB.
2. `bool close_db = false` by default - If true, will also close the DB upon compactions finishing.
1. struct `WaitForCompactOptions` added to options.h and `abort_on_pause` in the internal API moved to the option struct.
2. `Status WaitForCompact(const WaitForCompactOptions& wait_for_compact_options)` introduced in `db.h`
3. Changed the internal WaitForCompact() to `WaitForCompact(const WaitForCompactOptions& wait_for_compact_options)` and checks for the `abort_on_pause` inside the option.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11436
Test Plan:
Following tests added
- `DBCompactionTest::WaitForCompactWaitsOnCompactionToFinish`
- `DBCompactionTest::WaitForCompactAbortOnPauseAborted`
- `DBCompactionTest::WaitForCompactContinueAfterPauseNotAborted`
- `DBCompactionTest::WaitForCompactShutdownWhileWaiting`
- `TransactionTest::WaitForCompactAbortOnPause`
NOTE: `TransactionTest::WaitForCompactAbortOnPause` was added to use `StackableDB` to ensure the wrapper function is in place.
Reviewed By: pdillinger
Differential Revision: D45799659
Pulled By: jaykorean
fbshipit-source-id: b5b58f95957f2ab47d1221dee32a61d6cdc4685b
Summary:
This patch adds support in `BlockBuilder` to strip user-defined timestamp from the `key` added via `Add(key, value)` and its equivalent APIs. The stripping logic is different when the key is either a user key or an internal key, so the `BlockBuilder` is created with a flag to indicate that. This patch also add support on the read path to APIs `NewIndexIterator`, `NewDataIterator` to support pad a min timestamp.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11472
Test Plan:
Three test modes are added to parameterize existing tests:
UserDefinedTimestampTestMode::kNone -> UDT feature is not enabled
UserDefinedTimestampTestMode::kNormal -> UDT feature enabled, write / read with min timestamp
UserDefinedTimestampTestMode::kStripUserDefinedTimestamps -> UDT feature enabled, write / read with min timestamp, set `persist_user_defined_timestamps` where it applies to false.
The tests read/write with min timestamp so that point read and range scan can correctly read values in all three test modes.
`block_test` are parameterized to run with above three test modes and some additional parameteriazation
```
make all check
./block_test --gtest_filter="P/BlockTest*"
./block_test --gtest_filter="P/IndexBlockTest*"
```
Reviewed By: ltamasi
Differential Revision: D46200539
Pulled By: jowlyzhang
fbshipit-source-id: 59f5d6b584639976b69c2943eba723bd47d9b3c0
Summary:
It's easy to mix up the ordering when it's undocumented. For an example of the meaning of the order, see DBTest.ThreadStatusFlush.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11477
Test Plan: comments only
Reviewed By: jaykorean
Differential Revision: D46166683
Pulled By: pdillinger
fbshipit-source-id: 33118ba7ef1b08eab7b077548fe2e70f2c309e3f
Summary:
Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually!
In this change:
* Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway.
* Allocate the mutexes in a contiguous array, for efficiency
* Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose.
* Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing)
* Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus)
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439
Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!)
Reviewed By: ltamasi
Differential Revision: D45796393
Pulled By: pdillinger
fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
Summary:
Add the following missing options to `src/main/java/org/rocksdb/CompactRangeOptions.java` and in `java/rocksjni/options.cc` in RocksJava.
For the descriptions and API see the C++ file `include/rocksdb/options.h`, specifically the struct `CompactRangeOptions`
* full_history_ts_low
* canceled
We changed the handle to return an object (of class `Java_org_rocksdb_CompactRangeOptions`) containing a `ROCKSDB_NAMESPACE::CompactRangeOptions` at (almost certainly) 0-offset, rather than a raw `ROCKSDB_NAMESPACE::CompactRangeOptions`.
The `Java_org_rocksdb_CompactRangeOptions` contains as supplementary fields objects (std::string, std::atomic<bool>) which are passed as pointers to the `ROCKSDB_NAMESPACE::CompactRangeOptions` and which must therefore live for as long as the `ROCKSDB_NAMESPACE::CompactRangeOptions`. By placing them in a `Java_org_rocksdb_CompactRangeOptions` we achieve this.
Because the field offset of the `ROCKSDB_NAMESPACE::CompactRangeOptions` member is (very probably) 0, casting the handle to ROCKSDB_NAMESPACE::CompactRangeOptions works (i.e. old methods didn’t have to be changed), but really that’s a minefield and the correct answer is to cast to the correct type (Java_org_rocksdb_CompactRangeOptions) and then use the ROCKSDB_NAMESPACE::CompactRangeOptions field in that. So the get/set methods for existing parameters have this change.
Testing
-------
We added unit tests for getting and setting the newly implemented fields to `CompactRangeOptionsTest`
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10880
Reviewed By: ajkr
Differential Revision: D41482476
Pulled By: anand1976
fbshipit-source-id: c70795e790436fb3544655920adf6fca62ed34e2
Summary:
Do not bother comparing the version of the local super version handle with the global one.
An inequality comparison result indicates nothing but a spurious obsoleteness. It only happens when the writer has increased the `ColumnFamilyData::super_version_number_`(5fc57eec2b/db/column_family.cc (L1309)) but has not yet called `ResetThreadLocalSuperVersions()`(5fc57eec2b/db/column_family.cc (L1328)) at the time when a reader reads the local handle(`void* ptr = local_sv_->Swap(SuperVersion::kSVInUse);`). In other words, the existence of a local handle is a sufficent evidence of its fressness.
With this PR, we save one or even two atomic instructions when getting a handle of super version.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11452
Reviewed By: ajkr
Differential Revision: D46059317
Pulled By: cbi42
fbshipit-source-id: 68b4b1ca8a9929a4aa470105c37a09e0625b014d
Summary:
- add TEST_TMPDIR_EXPECTED env in crash test if expected dir is on different filesystem. If TEST_TMPDIR_EXPECTED is not specified, it'll fallback to default value of TEST_TMPDIR (Same as before)
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11448
Test Plan: Ran locally
Reviewed By: anand1976
Differential Revision: D45870268
Pulled By: akankshamahajan15
fbshipit-source-id: 52a7b961d3647dde023dcf7f20341558e8a5b528
Summary:
Add a util method `HandleWriteBatchTimestampSizeDifference` to handle a `WriteBatch` read from WAL log when user-defined timestamp size record is written and read. Two check modes are added: `kVerifyConsistency` that just verifies the recorded timestamp size are consistent with the running ones. This mode is to be used by `db_impl_secondary` for opening a DB as secondary instance. It will also be used by `db_impl_open` before the user comparator switch support is added to make a column switch between enabling/disable UDT feature. The other mode `kReconcileInconsistency` will be used by `db_impl_open` later when user comparator can be changed.
Another change is to extract a method `CollectColumnFamilyIdsFromWriteBatch` in db_secondary_impl.h into its standalone util file so it can be shared.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11451
Test Plan:
```
make check
./udt_util_test
```
Reviewed By: ltamasi
Differential Revision: D45894386
Pulled By: jowlyzhang
fbshipit-source-id: b96790777f154cddab6d45d9ba2e5d20ebc6fe9d
Summary:
This patch remove the "stress" aspect from the WriteUnpreparedStressTest and leave it to be a unit test for some correctness testing w.r.t. snapshot functionality. I added some read-your-write verification to the transaction test in db_stress.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11424
Test Plan:
`./write_unprepared_transaction_test`
`./db_crashtest.py whitebox --txn`
`./db_crashtest.py blackbox --txn`
Reviewed By: hx235
Differential Revision: D45551521
Pulled By: jowlyzhang
fbshipit-source-id: 20c3d510eb4255b08ddd7b6c85bdb4945436f6e8
Summary:
jemalloc was not building on M1 Macs. This makes it work.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11257
Reviewed By: anand1976
Differential Revision: D45959570
Pulled By: ajkr
fbshipit-source-id: 08c2b81b399f5003a2c159d037f9bcc5d0059556
Summary:
We want to know more about opportunities for better range filters, and the effectiveness of our own range filters. Currently the stats are very limited, essentially logging just hits and misses against prefix filters for range scans in BLOOM_FILTER_PREFIX_* without tracking the false positive rate. Perhaps confusingly, when prefix filters are used for point queries, the stats are currently going into the non-PREFIX tickers.
This change does several things:
* Introduce new stat tickers for seeks and related filtering, \*LEVEL_SEEK\*
* Most importantly, allows us to see opportunities for range filtering. Specifically, we can count how many times a seek in an SST file accesses at least one data block, and how many times at least one value() is then accessed. If a data block was accessed but no value(), we can generally assume that the key(s) seen was(were) not of interest so could have been filtered with the right kind of filter, avoiding the data block access.
* We can get the same level of detail when a filter (for now, prefix Bloom/ribbon) is used, or not. Specifically, we can infer a false positive rate for prefix filters (not available before) from the seek "false positive" rate: when a data block is accessed but no value() is called. (There can be other explanations for a seek false positive, but in typical iterator usage it would indicate a filter false positive.)
* For efficiency, I wanted to avoid making additional calls to the prefix extractor (or key comparisons, etc.), which would be required if we wanted to more precisely detect filter false positives. I believe that instrumenting value() is the best balance of efficiency vs. accurately measuring what we are often interested in.
* The stats are divided between last level and non-last levels, to help understand potential tiered storage use cases.
* The old BLOOM_FILTER_PREFIX_* stats have a different meaning: no longer referring to iterators but to point queries using prefix filters. BLOOM_FILTER_PREFIX_TRUE_POSITIVE is added for computing the prefix false positive rate on point queries, which can be due to filter false positives as well as different keys with the same prefix.
* Similarly, the non-PREFIX BLOOM_FILTER stats are now for whole key filtering only.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11460
Test Plan:
unit tests updated, including updating many to pop the stat value since last read to improve test
readability and maintainability.
Performance test shows a consistent small improvement with these changes, both with clang and with gcc. CPU profile indicates that RecordTick is using less CPU, and this makes sense at least for a high filter miss rate. Before, we were recording two ticks per filter miss in iterators (CHECKED & USEFUL) and now recording just one (FILTERED).
Create DB with
```
TEST_TMPDIR=/dev/shm ./db_bench -benchmarks=fillrandom -num=10000000 -disable_wal=1 -write_buffer_size=30000000 -bloom_bits=8 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=0 -prefix_size=8
```
And run simultaneous before&after with
```
TEST_TMPDIR=/dev/shm ./db_bench -readonly -benchmarks=seekrandom[-X1000] -num=10000000 -bloom_bits=8 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=0 -prefix_size=8 -seek_nexts=1 -duration=20 -seed=43 -threads=8 -cache_size=1000000000 -statistics
```
Before: seekrandom [AVG 275 runs] : 189680 (± 222) ops/sec; 18.4 (± 0.0) MB/sec
After: seekrandom [AVG 275 runs] : 197110 (± 208) ops/sec; 19.1 (± 0.0) MB/sec
Reviewed By: ajkr
Differential Revision: D46029177
Pulled By: pdillinger
fbshipit-source-id: cdace79a2ea548d46c5900b068c5b7c3a02e5822
Summary:
Add two type aliases for Cache: BlockCache and GeneralCache, and add LRUCacheOptions::MakeSharedGeneralCache(). This will ease upgrade to an intended future change to separate the cache API between block cache and other (general) uses, including row cache. Separating the APIs will make it easier to expose more details of block caching for customization. For example, it would be nice to pass the file unique ID and offset as the logical cache key instead of using a Slice, which could facilitate some file-specific customizations in block cache. This would also make it clear that HyperClockCache is not usable as a general cache, because it can only deal with fixed-size block cache keys.
block_cache, row_cache, and blob_cache are the uses of Cache in the public API. blob_cache should be able to use BlockCache while row_cache is a GeneralCache user, as its keys are of arbitrary size.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11450
Test Plan: see updated unit test.
Reviewed By: anand1976
Differential Revision: D45882067
Pulled By: pdillinger
fbshipit-source-id: ff5d9f0b644f87ae337a29a7728ce3ed07b2a4b2
Summary:
This PR is part of the request https://github.com/facebook/rocksdb/issues/11317.
(Another part is https://github.com/facebook/rocksdb/pull/11378)
ClipDB() will clip the entries in the CF according to the range [begin_key, end_key). All the entries outside this range will be completely deleted (including tombstones).
This feature is mainly used to ensure that there is no overlapping Key when calling CreateColumnFamilyWithImports() to import multiple CFs.
When Calling ClipDB [begin, end), there are the following steps
1. Quickly and directly delete files without overlap
DeleteFilesInRanges(nullptr, begin) + DeleteFilesInRanges(end, nullptr)
2. Delete the Key outside the range
Delete[smallest_key, begin) + Delete[end, largest_key]
3. Delete the tombstone through Manul Compact
CompactRange(option, nullptr, nullptr)
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11379
Reviewed By: ajkr
Differential Revision: D45840358
Pulled By: cbi42
fbshipit-source-id: 54152e8a45fd8ede137f99787eb252f0b51440a4
Summary:
**Context/Summary:**
https://github.com/facebook/rocksdb/pull/11424 made me realize there are a couple gaps in my `ExpectedValue` comments so I updated them, along with separating `ExpectedValue` into separate files so it's clearer that `ExpectedValue` can be used without updating `ExpectedState` (e.g, TestMultiGet() where we care about value base of expected value but not updating the ExpectedState).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11456
Test Plan: CI
Reviewed By: jowlyzhang
Differential Revision: D45965070
Pulled By: hx235
fbshipit-source-id: dcee690c13b00a3119757ea9d43b646f9644e1a9
Summary:
Apply a small (and automatic) set of IntelliJ Java inspections/repairs to the Java interface to RocksDB Java and its tests.
Partly enabled by the fact that we now (from RocksDB7) require java 8.
Explicit <p> in empty lines in javadoc comments.
Parameters and variables made final where possible.
Anonymous subclasses converted lambdas.
Some tests which previously used other assertion models were converted to assertj, e.g. (assertThat(actual).isEqualTo(expected)
In a very few cases tests were found to be inoperative or broken, and were repaired. No problems with actual RocksDB behaviour were observed.
This PR is intended to replace https://github.com/facebook/rocksdb/pull/9618 - that PR was not merged, and attempts to rebase it have yielded a questionable looking diff, so we choose to go back to square 1 here, and implement a conservative set of changes.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10951
Reviewed By: anand1976
Differential Revision: D45057849
Pulled By: ajkr
fbshipit-source-id: e4ea46bfc80518ae86f37702b03ca9352bc11c3d
Summary:
Context:
In pull request https://github.com/facebook/rocksdb/issues/11436, we are introducing a new public API `waitForCompact(const WaitForCompactOptions& wait_for_compact_options)`. This API invokes the internal implementation `waitForCompact(bool wait_unscheduled=false)`. The unscheduled parameter indicates the compactions that are not yet scheduled but are required to process items in the queue.
In certain cases, we are unable to wait for compactions, such as during a shutdown or when background jobs are paused. It is important to return the appropriate status in these scenarios. For all other cases, we should wait for all compaction and flush jobs, including the unscheduled ones. The primary purpose of this new API is to wait until the system has resolved its compaction debt. Currently, the usage of `wait_unscheduled` is limited to test code.
This pull request eliminates the usage of wait_unscheduled. The internal `waitForCompact()` API now waits for unscheduled compactions unless the db is undergoing a shutdown. In the event of a shutdown, the API returns `Status::ShutdownInProgress()`.
Additionally, a new parameter, `abort_on_pause`, has been introduced with a default value of `false`. This parameter addresses the possibility of waiting indefinitely for unscheduled jobs if `PauseBackgroundWork()` was called before `waitForCompact()` is invoked. By setting `abort_on_pause` to `true`, the API will immediately return `Status::Aborted`.
Furthermore, all tests that previously called `waitForCompact(true)` have been fixed.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11443
Test Plan:
Existing tests that involve a shutdown in progress:
- DBCompactionTest::CompactRangeShutdownWhileDelayed
- DBTestWithParam::PreShutdownMultipleCompaction
- DBTestWithParam::PreShutdownCompactionMiddle
Reviewed By: pdillinger
Differential Revision: D45923426
Pulled By: jaykorean
fbshipit-source-id: 7dc93fe6a6841a7d9d2d72866fa647090dba8eae
Summary:
In IDE navigation I find it annoying that there are two statistics.h files (etc.) and often land on the wrong one. Here I migrate several headers to use the blah.h <- blah_impl.h <- blah.cc idiom. Although clang-format wants "blah.h" to be the top include for "blah.cc", I think overall this is an improvement.
No public API changes.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11408
Test Plan: existing tests
Reviewed By: ltamasi
Differential Revision: D45456696
Pulled By: pdillinger
fbshipit-source-id: 809d931253f3272c908cf5facf7e1d32fc507373
Summary:
**Context:**
Current `NonBatchedOpsStressTest` does not allow multi-thread read (i.e, Get, Iterator) and write (i.e, Put, Merge) or delete to the same key. Every read or write/delete operation will acquire lock (`GetLocksForKeyRange`) on the target key to gain exclusive access to it. This does not align with RocksDB's nature of allowing multi-thread read and write/delete to the same key, that is concurrent threads can issue read/write/delete to RocksDB without external locking. Therefore this is a gap in our testing coverage.
To close the gap, biggest challenge remains in verifying db value against expected state in presence of parallel read and write/delete. The challenge is due to read/write/delete to the db and read/write to expected state is not within one atomic operation. Therefore we may not know the exact expected state of a certain db read, as by the time we read the expected state for that db read, another write to expected state for another db write to the same key might have changed the expected state.
**Summary:**
Credited to ajkr's idea, we now solve this challenge by breaking the 32-bits expected value of a key into different parts that can be read and write to in parallel.
Basically we divide the 32-bits expected value into `value_base` (corresponding to the previous whole 32 bits but now with some shrinking in the value base range we allow), `pending_write` (i.e, whether there is an ongoing concurrent write), `del_counter` (i.e, number of times a value has been deleted, analogous to value_base for write), `pending_delete` (similar to pending_write) and `deleted` (i.e whether a key is deleted).
Also, we need to use incremental `value_base` instead of random value base as before because we want to control the range of value base a correct db read result can possibly be in presence of parallel read and write. In that way, we can verify the correctness of the read against expected state more easily. This is at the cost of reducing the randomness of the value generated in NonBatchedOpsStressTest we are willing to accept.
(For detailed algorithm of how to use these parts to infer expected state of a key, see the PR)
Misc: hide value_base detail from callers of ExpectedState by abstracting related logics into ExpectedValue class
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11058
Test Plan:
- Manual test of small number of keys (i.e, high chances of parallel read and write/delete to same key) with equally distributed read/write/deleted for 30 min
```
python3 tools/db_crashtest.py --simple {blackbox|whitebox} --sync_fault_injection=1 --skip_verifydb=0 --continuous_verification_interval=1000 --clear_column_family_one_in=0 --max_key=10 --column_families=1 --threads=32 --readpercent=25 --writepercent=25 --nooverwritepercent=0 --iterpercent=25 --verify_iterator_with_expected_state_one_in=1 --num_iterations=5 --delpercent=15 --delrangepercent=10 --range_deletion_width=5 --use_merge={0|1} --use_put_entity_one_in=0 --use_txn=0 --verify_before_write=0 --user_timestamp_size=0 --compact_files_one_in=1000 --compact_range_one_in=1000 --flush_one_in=1000 --get_property_one_in=1000 --ingest_external_file_one_in=100 --backup_one_in=100 --checkpoint_one_in=100 --approximate_size_one_in=0 --acquire_snapshot_one_in=100 --use_multiget=0 --prefixpercent=0 --get_live_files_one_in=1000 --manual_wal_flush_one_in=1000 --pause_background_one_in=1000 --target_file_size_base=524288 --write_buffer_size=524288 --verify_checksum_one_in=1000 --verify_db_one_in=1000
```
- Rehearsal stress test for normal parameter and aggressive parameter to see if such change can find what existing stress test can find (i.e, no regression in testing capability)
- [Ongoing]Try to find new bugs with this change that are not found by current NonBatchedOpsStressTest with no parallel read and write/delete to same key
Reviewed By: ajkr
Differential Revision: D42257258
Pulled By: hx235
fbshipit-source-id: e6fdc18f1fad3753e5ac91731483a644d9b5b6eb
Summary:
When the DB is opened, RocksDB creates a temp OPTIONS file, writes the current options to it, and renames it. In case of a failure, the temp file is left behind, and is not deleted by PurgeObsoleteFiles(). Fix this by explicitly deleting the temp file if writing to it or renaming it fails.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11423
Test Plan: Add a unit test
Reviewed By: akankshamahajan15
Differential Revision: D45540454
Pulled By: anand1976
fbshipit-source-id: 47facdc30d8cc5667036312d04b21d3fc253c92e
Summary:
Added a ticker stat, `BLOCK_CHECKSUM_MISMATCH_COUNT`, to count how many block checksum verifications detected a mismatch.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11438
Test Plan: new unit test
Reviewed By: pdillinger
Differential Revision: D45788179
Pulled By: ajkr
fbshipit-source-id: e2b44eba7c23b3e110ebe69eaa78a710dec2590f
Summary:
This patch adds support to write and read a user-defined timestamp size record in log writer and log reader. It will be used by WAL logs to persist the user-defined timestamp format for subsequent WriteBatch records. Reading and writing UDT sizes for WAL logs are not included in this patch. It will be in a follow up.
The syntax for the record is: at write time, one such record is added when log writer encountered any non-zero UDT size it hasn't recorded so far. At read time, all such records read up to a point are accumulated and applicable to all subsequent WriteBatch records.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11433
Test Plan:
```
make clean && make -j32 all
./log_test --gtest_filter="*WithTimestampSize*"
```
Reviewed By: ltamasi
Differential Revision: D45678708
Pulled By: jowlyzhang
fbshipit-source-id: b770c8f45bb7b9383b14aac9f22af781304fb41d
Summary:
- Add a new option `CompactionOptionsFIFO::file_temperature_age_thresholds` that allows user to specify age thresholds for compacting files to different temperatures. File temperature can be used to store files in different storage media. The new options allows specifying multiple temperature-age pairs. The option uses struct for a temperature-age pair to use the existing parsing functionality to make the option dynamically settable.
- Deprecate the old option `age_for_warm` that was added for a similar purpose.
- Compaction score calculation logic is updated to check if a file needs to be compacted to change its temperature.
- Some refactoring is done in `FIFOCompactionPicker::PickTemperatureChangeCompaction`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11428
Test Plan: adapted unit tests that were for `age_for_warm` to this new option.
Reviewed By: ajkr
Differential Revision: D45611412
Pulled By: cbi42
fbshipit-source-id: 2dc384841f61cc04abb9681e31aa2de0f0b06106
Summary:
Context:
This pull request update is in response to a comment made on https://github.com/facebook/rocksdb/pull/8596#discussion_r680264932. The current implementation of RefillBytesAndGrantRequestsLocked() drains all available_bytes, but the first request after the last wave of requesting/bytes granting is done is not being handled in the same way.
This creates a scenario where if a request for a large amount of bytes is enqueued first, but there are not enough available_bytes to fulfill it, the request is put to sleep until the next refill time. Meanwhile, a later request for a smaller number of bytes comes in and is granted immediately. This behavior is not fair as the earlier request was made first.
To address this issue, we have made changes to the code to exhaust the remaining available bytes from the request and queue the remaining. With this change, requests are granted in the order they are received, ensuring that earlier requests are not unfairly delayed by later, smaller requests. The specific scenario described above will no longer occur with this change. Also consolidated `granted` and `request_bytes` as part of the change since `granted` is equivalent to `request_bytes == 0`
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11425
Test Plan: Added `AvailableByteSizeExhaustTest`
Reviewed By: hx235
Differential Revision: D45570711
Pulled By: jaykorean
fbshipit-source-id: a7117ed17bf4b8a7ae0f76124cb41902db1a2592
Summary:
**Background** - runtime detection of certain x86 CPU features was added for optimizing CRC32c checksums, where performance is dramatically affected by the availability of certain CPU instructions and code using intrinsics for those instructions. And Java builds with native library try to be broadly compatible but performant.
What has changed is that CRC32c is no longer the most efficient cheecksum on contemporary x86_64 hardware, nor the default checksum. XXH3 is generally faster and not as dramatically impacted by the availability of certain CPU instructions. For example, on my Skylake system using db_bench (similar on an older Skylake system without AVX512):
PORTABLE=1 empty USE_SSE : xxh3->8 GB/s crc32c->0.8 GB/s (no SSE4.2 nor AVX2 instructions)
PORTABLE=1 USE_SSE=1 : xxh3->19 GB/s crc32c->16 GB/s (with SSE4.2 and AVX2)
PORTABLE=0 USE_SSE ignored: xxh3->28 GB/s crc32c->16 GB/s (also some AVX512)
Testing a ~10 year old system, with SSE4.2 but without AVX2, crc32c is a similar speed to the new systems but xxh3 is only about half that speed, also 8GB/s like the non-AVX2 compile above. Given that xxh3 has specific optimization for AVX2, I think we can infer that that crc32c is only fastest for that ~2008-2013 period when SSE4.2 was included but not AVX2. And given that xxh3 is only about 2x slower on these systems (not like >10x slower for unoptimized crc32c), I don't think we need to invest too much in optimally adapting to these old cases.
x86 hardware that doesn't support fast CRC32c is now extremely rare, so requiring a custom build to support such hardware is fine IMHO.
**This change** does two related things:
* Remove runtime CPU detection for optimizing CRC32c on x86. Maintaining this code is non-zero work, and compiling special code that doesn't work on the configured target instruction set for code generation is always dubious. (On the one hand we have to ensure the CRC32c code uses SSE4.2 but on the other hand we have to ensure nothing else does.)
* Detect CPU features in source code, not in build scripts. Although there are some hypothetical advantages to detectiong in build scripts (compiler generality), RocksDB supports at least three build systems: make, cmake, and buck. It's not practical to support feature detection on all three, and we have suffered from missed optimization opportunities by relying on missing or incomplete detection in cmake and buck. We also depend on some components like xxhash that do source code detection anyway.
**In more detail:**
* `HAVE_SSE42`, `HAVE_AVX2`, and `HAVE_PCLMUL` replaced by standard macros `__SSE4_2__`, `__AVX2__`, and `__PCLMUL__`.
* MSVC does not provide high fidelity defines for SSE, PCLMUL, or POPCNT, but we can infer those from `__AVX__` or `__AVX2__` in a compatibility header. In rare cases of false negative or false positive feature detection, a build engineer should be able to set defines to work around the issue.
* `__POPCNT__` is another standard define, but we happen to only need it on MSVC, where it is set by that compatibility header, or can be set by the build engineer.
* `PORTABLE` can be set to a CPU type, e.g. "haswell", to compile for that CPU type.
* `USE_SSE` is deprecated, now equivalent to PORTABLE=haswell, which roughly approximates its old behavior.
Notably, this change should enable more builds to use the AVX2-optimized Bloom filter implementation.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/11419
Test Plan:
existing tests, CI
Manual performance tests after the change match the before above (none expected with make build).
We also see AVX2 optimized Bloom filter code enabled when expected, by injecting a compiler error. (Performance difference is not big on my current CPU.)
Reviewed By: ajkr
Differential Revision: D45489041
Pulled By: pdillinger
fbshipit-source-id: 60ceb0dd2aa3b365c99ed08a8b2a087a9abb6a70
leipeng