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543 commits

Author SHA1 Message Date
Peter Dillinger a1a102ffce Steps toward deprecating implicit prefix seek, related fixes (#13026)
Summary:
With some new use cases onboarding to prefix extractors/seek/filters, one of the risks is existing iterator code, e.g. for maintenance tasks, being unintentionally subject to prefix seek semantics. This is a longstanding known design flaw with prefix seek, and `prefix_same_as_start` and `auto_prefix_mode` were steps in the direction of making that obsolete. However, we can't just immediately set `total_order_seek` to true by default, because that would impact so much code instantly.

Here we add a new DB option, `prefix_seek_opt_in_only` that basically allows users to transition to the future behavior when they are ready. When set to true, all iterators will be treated as if `total_order_seek=true` and then the only ways to get prefix seek semantics are with `prefix_same_as_start` or `auto_prefix_mode`.

Related fixes / changes:
* Make sure that `prefix_same_as_start` and `auto_prefix_mode` are compatible with (or override) `total_order_seek` (depending on your interpretation).
* Fix a bug in which a new iterator after dynamically changing the prefix extractor might mix different prefix semantics between memtable and SSTs. Both should use the latest extractor semantics, which means iterators ignoring memtable prefix filters with an old extractor. And that means passing the latest prefix extractor to new memtable iterators that might use prefix seek. (Without the fix, the test added for this fails in many ways.)

Suggested follow-up:
* Investigate a FIXME where a MergeIteratorBuilder is created in db_impl.cc. No unit test detects a change in value that should impact correctness.
* Make memtable prefix bloom compatible with `auto_prefix_mode`, which might require involving the memtablereps because we don't know at iterator creation time (only seek time) whether an auto_prefix_mode seek will be a prefix seek.
* Add `prefix_same_as_start` testing to db_stress

Pull Request resolved: https://github.com/facebook/rocksdb/pull/13026

Test Plan:
tests updated, added. Add combination of `total_order_seek=true` and `auto_prefix_mode=true` to stress test. Ran `make blackbox_crash_test` for a long while.

Manually ran tests with `prefix_seek_opt_in_only=true` as default, looking for unexpected issues. I inspected most of the results and migrated many tests to be ready for such a change (but not all).

Reviewed By: ltamasi

Differential Revision: D63147378

Pulled By: pdillinger

fbshipit-source-id: 1f4477b730683d43b4be7e933338583702d3c25e
2024-09-20 15:54:19 -07:00
anand76 c21fe1a47f Add ticker stats for read corruption retries (#12923)
Summary:
Add a couple of ticker stats for corruption retry count and successful retries. This PR also eliminates an extra read attempt when there's a checksum mismatch in a block read from the prefetch buffer.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12923

Test Plan: Update existing tests

Reviewed By: jowlyzhang

Differential Revision: D61024687

Pulled By: anand1976

fbshipit-source-id: 3a08403580ab244000e0d480b7ee0f5a03d76b06
2024-08-12 15:32:07 -07:00
Richard Barnes a8dd15ad41 Fix deprecated dynamic exception in internal_repo_rocksdb/repo/java/rocksjni/kv_helper.h +1
Summary:
LLVM has detected a violation of `-Wdeprecated-dynamic-exception-spec`. Dynamic exceptions were removed in C++17. This diff fixes the deprecated instance(s).

See [Dynamic exception specification](https://en.cppreference.com/w/cpp/language/except_spec) and [noexcept specifier](https://en.cppreference.com/w/cpp/language/noexcept_spec).

Reviewed By: palmje

Differential Revision: D58528375

fbshipit-source-id: 130fecd3aa556e4cdb955feea53c442bd9fbc864
2024-06-13 12:41:13 -07:00
Davide Angelocola cee32c5cce use nullptr instead of NULL / 0 in rocksdbjni (#12575)
Summary:
While I was trying to understand issue https://github.com/facebook/rocksdb/issues/12503, I found this minor problem. Please have a look adamretter rhubner

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12575

Reviewed By: ajkr

Differential Revision: D57596055

Pulled By: cbi42

fbshipit-source-id: ee0860bdfbee9364cd30c23957b72a04da6acd45
2024-05-21 12:56:07 -07:00
Radek Hubner a8035ebc0b Fix exception on RocksDB.getColumnFamilyMetaData() (#12474)
Summary:
https://github.com/facebook/rocksdb/issues/12466 reported a bug when `RocksDB.getColumnFamilyMetaData()` is called on an existing database(With files stored on disk). As neilramaswamy mentioned, this was caused by https://github.com/facebook/rocksdb/issues/11770 where the signature of `SstFileMetaData` constructor was changed, but JNI code wasn't updated.

This PR fix JNI code, and also properly populate `fileChecksum` on `SstFileMetaData`.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12474

Reviewed By: jowlyzhang

Differential Revision: D55811808

Pulled By: ajkr

fbshipit-source-id: 2ab156f41eaf4a4f30c49e6df421b61e8451230e
2024-04-05 13:55:18 -07:00
Alexey Vinogradov c4df598b8e Implement PerfContex#toString for the Java API (#12473)
Summary:
I've implemented `PerfContext#toString` for the Java API.
See: https://groups.google.com/g/rocksdb/c/qbY_gNhbyAg

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12473

Reviewed By: jowlyzhang

Differential Revision: D55660871

Pulled By: cbi42

fbshipit-source-id: f0528fba31ac06e16495e4f49b0bafe0dbc1bc61
2024-04-03 14:33:31 -07:00
Peter Dillinger 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
2024-03-22 13:40:42 -07:00
anand76 98d8a85624 New PerfContext counters for block cache bytes read (#12459)
Summary:
Add PerfContext counters for measuring the cumulative size of blocks found in the block cache.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12459

Reviewed By: ajkr

Differential Revision: D55170694

Pulled By: anand1976

fbshipit-source-id: 8cbba76eece116cefce7f00e2fc9d74757661d25
2024-03-21 10:46:46 -07:00
anand76 4868c10b44 Retry block reads on checksum mismatch (#12427)
Summary:
On file systems that support storage level data checksum and reconstruction, retry SST block reads for point lookups, scans, and flush and compaction if there's a checksum mismatch on the initial read. A file system can indicate its support by setting the `FSSupportedOps::kVerifyAndReconstructRead` bit in `SupportedOps`.

Tests:
Add new unit tests

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12427

Reviewed By: ajkr

Differential Revision: D55025941

Pulled By: anand1976

fbshipit-source-id: dbd990cb75e03f756c8a66d42956f645c0b6d55e
2024-03-18 16:16:05 -07:00
Yu Zhang f2546b6623 Support returning write unix time in iterator property (#12428)
Summary:
This PR adds support to return data's approximate unix write time in the iterator property API. The general implementation is:
1) If the entry comes from a SST file, the sequence number to time mapping recorded in that file's table properties will be used to deduce the entry's write time from its sequence number. If no such recording is available, `std::numeric_limits<uint64_t>::max()` is returned to indicate the write time is unknown except if the entry's sequence number is zero, in which case, 0 is returned. This also means that even if `preclude_last_level_data_seconds` and `preserve_internal_time_seconds` can be toggled off between DB reopens, as long as the SST file's table property has the mapping available, the entry's write time can be deduced and returned.

2) If the entry comes from memtable, we will use the DB's sequence number to write time mapping to do similar things. A copy of the DB's seqno to write time mapping is kept in SuperVersion to allow iterators to have lock free access. This also means a new `SuperVersion` is installed each time DB's seqno to time mapping updates, which is originally proposed by Peter in  https://github.com/facebook/rocksdb/issues/11928 . Similarly, if the feature is not enabled, `std::numeric_limits<uint64_t>::max()` is returned to indicate the write time is unknown.

Needed follow up:
1) The write time for `kTypeValuePreferredSeqno` should be special cased, where it's already specified by the user, so we can directly return it.

2) Flush job can be updated to use DB's seqno to time mapping copy in the SuperVersion.

3) Handle the case when `TimedPut` is called with a write time that is `std::numeric_limits<uint64_t>::max()`. We can make it a regular `Put`.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12428

Test Plan: Added unit test

Reviewed By: pdillinger

Differential Revision: D54967067

Pulled By: jowlyzhang

fbshipit-source-id: c795b1b7ec142e09e53f2ed3461cf719833cb37a
2024-03-15 15:37:37 -07:00
Alan Paxton d9a441113e JNI get_helper code sharing / multiGet() use efficient batch C++ support (#12344)
Summary:
Implement RAII-based helpers for JNIGet() and multiGet()

Replace JNI C++ helpers `rocksdb_get_helper, rocksdb_get_helper_direct`, `multi_get_helper`, `multi_get_helper_direct`, `multi_get_helper_release_keys`, `txn_get_helper`, and `txn_multi_get_helper`.

The model is to entirely do away with a single helper, instead a number of utility methods allow each separate
JNI `Get()` and `MultiGet()` method to organise their parameters efficiently, then call the underlying C++ `db->Get()`,
`db->MultiGet()`, `txn->Get()`, or `txn->MultiGet()` method itself, and use further utilities to retrieve results.

Roughly speaking:

* get keys into C++ form
* Call C++ Get()
* get results and status into Java form

We achieve a useful performance gain as part of this work; by using the updated C++ multiGet we immediately pick up its performance gains (batch improvements to multiGet C++ were previously implemented, but not until now used by Java/JNI). multiGetBB already uses the batched C++ multiGet(), and all other benchmarks show consistent improvement after the changes:

## Before:
```
Benchmark (columnFamilyTestType) (keyCount) (keySize) (multiGetSize) (valueSize) Mode Cnt Score Error Units
MultiGetNewBenchmarks.multiGetBB200 no_column_family 10000 1024 100 256 thrpt 25 5315.459 ± 20.465 ops/s
MultiGetNewBenchmarks.multiGetBB200 no_column_family 10000 1024 100 1024 thrpt 25 5673.115 ± 78.299 ops/s
MultiGetNewBenchmarks.multiGetBB200 no_column_family 10000 1024 100 4096 thrpt 25 2616.860 ± 46.994 ops/s
MultiGetNewBenchmarks.multiGetBB200 no_column_family 10000 1024 100 16384 thrpt 25 1700.058 ± 24.034 ops/s
MultiGetNewBenchmarks.multiGetBB200 no_column_family 10000 1024 100 65536 thrpt 25 791.171 ± 13.955 ops/s
MultiGetNewBenchmarks.multiGetList10 no_column_family 10000 1024 100 256 thrpt 25 6129.929 ± 94.200 ops/s
MultiGetNewBenchmarks.multiGetList10 no_column_family 10000 1024 100 1024 thrpt 25 7012.405 ± 97.886 ops/s
MultiGetNewBenchmarks.multiGetList10 no_column_family 10000 1024 100 4096 thrpt 25 2799.014 ± 39.352 ops/s
MultiGetNewBenchmarks.multiGetList10 no_column_family 10000 1024 100 16384 thrpt 25 1417.205 ± 22.272 ops/s
MultiGetNewBenchmarks.multiGetList10 no_column_family 10000 1024 100 65536 thrpt 25 655.594 ± 13.050 ops/s
MultiGetNewBenchmarks.multiGetListExplicitCF20 no_column_family 10000 1024 100 256 thrpt 25 6147.247 ± 82.711 ops/s
MultiGetNewBenchmarks.multiGetListExplicitCF20 no_column_family 10000 1024 100 1024 thrpt 25 7004.213 ± 79.251 ops/s
MultiGetNewBenchmarks.multiGetListExplicitCF20 no_column_family 10000 1024 100 4096 thrpt 25 2715.154 ± 110.017 ops/s
MultiGetNewBenchmarks.multiGetListExplicitCF20 no_column_family 10000 1024 100 16384 thrpt 25 1408.070 ± 31.714 ops/s
MultiGetNewBenchmarks.multiGetListExplicitCF20 no_column_family 10000 1024 100 65536 thrpt 25 623.829 ± 57.374 ops/s
MultiGetNewBenchmarks.multiGetListRandomCF30 no_column_family 10000 1024 100 256 thrpt 25 6119.243 ± 116.313 ops/s
MultiGetNewBenchmarks.multiGetListRandomCF30 no_column_family 10000 1024 100 1024 thrpt 25 6931.873 ± 128.094 ops/s
MultiGetNewBenchmarks.multiGetListRandomCF30 no_column_family 10000 1024 100 4096 thrpt 25 2678.253 ± 39.113 ops/s
MultiGetNewBenchmarks.multiGetListRandomCF30 no_column_family 10000 1024 100 16384 thrpt 25 1337.384 ± 19.500 ops/s
MultiGetNewBenchmarks.multiGetListRandomCF30 no_column_family 10000 1024 100 65536 thrpt 25 625.596 ± 14.525 ops/s
```

## After:
```
Benchmark                                    (columnFamilyTestType)  (keyCount)  (keySize)  (multiGetSize)  (valueSize)   Mode  Cnt     Score     Error  Units
MultiGetBenchmarks.multiGetBB200                   no_column_family       10000       1024             100          256  thrpt   25  5191.074 ±  78.250  ops/s
MultiGetBenchmarks.multiGetBB200                   no_column_family       10000       1024             100         1024  thrpt   25  5378.692 ± 260.682  ops/s
MultiGetBenchmarks.multiGetBB200                   no_column_family       10000       1024             100         4096  thrpt   25  2590.183 ±  34.844  ops/s
MultiGetBenchmarks.multiGetBB200                   no_column_family       10000       1024             100        16384  thrpt   25  1634.793 ±  34.022  ops/s
MultiGetBenchmarks.multiGetBB200                   no_column_family       10000       1024             100        65536  thrpt   25   786.455 ±   8.462  ops/s
MultiGetBenchmarks.multiGetBB200                    1_column_family       10000       1024             100          256  thrpt   25  5285.055 ±  11.676  ops/s
MultiGetBenchmarks.multiGetBB200                    1_column_family       10000       1024             100         1024  thrpt   25  5586.758 ± 213.008  ops/s
MultiGetBenchmarks.multiGetBB200                    1_column_family       10000       1024             100         4096  thrpt   25  2527.172 ±  17.106  ops/s
MultiGetBenchmarks.multiGetBB200                    1_column_family       10000       1024             100        16384  thrpt   25  1819.547 ±  12.958  ops/s
MultiGetBenchmarks.multiGetBB200                    1_column_family       10000       1024             100        65536  thrpt   25   803.861 ±   9.963  ops/s
MultiGetBenchmarks.multiGetBB200                 20_column_families       10000       1024             100          256  thrpt   25  5253.793 ±  28.020  ops/s
MultiGetBenchmarks.multiGetBB200                 20_column_families       10000       1024             100         1024  thrpt   25  5705.591 ±  20.556  ops/s
MultiGetBenchmarks.multiGetBB200                 20_column_families       10000       1024             100         4096  thrpt   25  2523.377 ±  15.415  ops/s
MultiGetBenchmarks.multiGetBB200                 20_column_families       10000       1024             100        16384  thrpt   25  1815.344 ±  11.309  ops/s
MultiGetBenchmarks.multiGetBB200                 20_column_families       10000       1024             100        65536  thrpt   25   820.792 ±   3.192  ops/s
MultiGetBenchmarks.multiGetBB200                100_column_families       10000       1024             100          256  thrpt   25  5262.184 ±  20.477  ops/s
MultiGetBenchmarks.multiGetBB200                100_column_families       10000       1024             100         1024  thrpt   25  5706.959 ±  23.123  ops/s
MultiGetBenchmarks.multiGetBB200                100_column_families       10000       1024             100         4096  thrpt   25  2520.362 ±   9.170  ops/s
MultiGetBenchmarks.multiGetBB200                100_column_families       10000       1024             100        16384  thrpt   25  1789.185 ±  14.239  ops/s
MultiGetBenchmarks.multiGetBB200                100_column_families       10000       1024             100        65536  thrpt   25   818.401 ±  12.132  ops/s
MultiGetBenchmarks.multiGetList10                  no_column_family       10000       1024             100          256  thrpt   25  6978.310 ±  14.084  ops/s
MultiGetBenchmarks.multiGetList10                  no_column_family       10000       1024             100         1024  thrpt   25  7664.242 ±  22.304  ops/s
MultiGetBenchmarks.multiGetList10                  no_column_family       10000       1024             100         4096  thrpt   25  2881.778 ±  81.054  ops/s
MultiGetBenchmarks.multiGetList10                  no_column_family       10000       1024             100        16384  thrpt   25  1599.826 ±   7.190  ops/s
MultiGetBenchmarks.multiGetList10                  no_column_family       10000       1024             100        65536  thrpt   25   737.520 ±   6.809  ops/s
MultiGetBenchmarks.multiGetList10                   1_column_family       10000       1024             100          256  thrpt   25  6974.376 ±  10.716  ops/s
MultiGetBenchmarks.multiGetList10                   1_column_family       10000       1024             100         1024  thrpt   25  7637.440 ±  45.877  ops/s
MultiGetBenchmarks.multiGetList10                   1_column_family       10000       1024             100         4096  thrpt   25  2820.472 ±  42.231  ops/s
MultiGetBenchmarks.multiGetList10                   1_column_family       10000       1024             100        16384  thrpt   25  1716.663 ±   8.527  ops/s
MultiGetBenchmarks.multiGetList10                   1_column_family       10000       1024             100        65536  thrpt   25   755.848 ±   7.514  ops/s
MultiGetBenchmarks.multiGetList10                20_column_families       10000       1024             100          256  thrpt   25  6943.651 ±  20.040  ops/s
MultiGetBenchmarks.multiGetList10                20_column_families       10000       1024             100         1024  thrpt   25  7679.415 ±   9.114  ops/s
MultiGetBenchmarks.multiGetList10                20_column_families       10000       1024             100         4096  thrpt   25  2844.564 ±  13.388  ops/s
MultiGetBenchmarks.multiGetList10                20_column_families       10000       1024             100        16384  thrpt   25  1729.545 ±   5.983  ops/s
MultiGetBenchmarks.multiGetList10                20_column_families       10000       1024             100        65536  thrpt   25   783.218 ±   1.530  ops/s
MultiGetBenchmarks.multiGetList10               100_column_families       10000       1024             100          256  thrpt   25  6944.276 ±  29.995  ops/s
MultiGetBenchmarks.multiGetList10               100_column_families       10000       1024             100         1024  thrpt   25  7670.301 ±   8.986  ops/s
MultiGetBenchmarks.multiGetList10               100_column_families       10000       1024             100         4096  thrpt   25  2839.828 ±  12.421  ops/s
MultiGetBenchmarks.multiGetList10               100_column_families       10000       1024             100        16384  thrpt   25  1730.005 ±   9.209  ops/s
MultiGetBenchmarks.multiGetList10               100_column_families       10000       1024             100        65536  thrpt   25   787.096 ±   1.977  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20        no_column_family       10000       1024             100          256  thrpt   25  6896.944 ±  21.530  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20        no_column_family       10000       1024             100         1024  thrpt   25  7622.407 ±  12.824  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20        no_column_family       10000       1024             100         4096  thrpt   25  2927.538 ±  19.792  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20        no_column_family       10000       1024             100        16384  thrpt   25  1598.041 ±   4.312  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20        no_column_family       10000       1024             100        65536  thrpt   25   744.564 ±   9.236  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20         1_column_family       10000       1024             100          256  thrpt   25  6853.760 ±  78.041  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20         1_column_family       10000       1024             100         1024  thrpt   25  7360.917 ± 355.365  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20         1_column_family       10000       1024             100         4096  thrpt   25  2848.774 ±  13.409  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20         1_column_family       10000       1024             100        16384  thrpt   25  1727.688 ±   3.329  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20         1_column_family       10000       1024             100        65536  thrpt   25   776.088 ±   7.517  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20      20_column_families       10000       1024             100          256  thrpt   25  6910.339 ±  14.366  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20      20_column_families       10000       1024             100         1024  thrpt   25  7633.660 ±  10.830  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20      20_column_families       10000       1024             100         4096  thrpt   25  2787.799 ±  81.775  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20      20_column_families       10000       1024             100        16384  thrpt   25  1726.517 ±   6.830  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20      20_column_families       10000       1024             100        65536  thrpt   25   787.597 ±   3.362  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20     100_column_families       10000       1024             100          256  thrpt   25  6922.445 ±  10.493  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20     100_column_families       10000       1024             100         1024  thrpt   25  7604.710 ±  48.043  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20     100_column_families       10000       1024             100         4096  thrpt   25  2848.788 ±  15.783  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20     100_column_families       10000       1024             100        16384  thrpt   25  1730.837 ±   6.497  ops/s
MultiGetBenchmarks.multiGetListExplicitCF20     100_column_families       10000       1024             100        65536  thrpt   25   794.557 ±   1.869  ops/s
MultiGetBenchmarks.multiGetListRandomCF30          no_column_family       10000       1024             100          256  thrpt   25  6918.716 ±  15.766  ops/s
MultiGetBenchmarks.multiGetListRandomCF30          no_column_family       10000       1024             100         1024  thrpt   25  7626.692 ±   9.394  ops/s
MultiGetBenchmarks.multiGetListRandomCF30          no_column_family       10000       1024             100         4096  thrpt   25  2871.382 ±  72.155  ops/s
MultiGetBenchmarks.multiGetListRandomCF30          no_column_family       10000       1024             100        16384  thrpt   25  1598.786 ±   4.819  ops/s
MultiGetBenchmarks.multiGetListRandomCF30          no_column_family       10000       1024             100        65536  thrpt   25   748.469 ±   7.234  ops/s
MultiGetBenchmarks.multiGetListRandomCF30           1_column_family       10000       1024             100          256  thrpt   25  6922.666 ±  17.131  ops/s
MultiGetBenchmarks.multiGetListRandomCF30           1_column_family       10000       1024             100         1024  thrpt   25  7623.890 ±   8.805  ops/s
MultiGetBenchmarks.multiGetListRandomCF30           1_column_family       10000       1024             100         4096  thrpt   25  2850.698 ±  18.004  ops/s
MultiGetBenchmarks.multiGetListRandomCF30           1_column_family       10000       1024             100        16384  thrpt   25  1727.623 ±   4.868  ops/s
MultiGetBenchmarks.multiGetListRandomCF30           1_column_family       10000       1024             100        65536  thrpt   25   774.534 ±  10.025  ops/s
MultiGetBenchmarks.multiGetListRandomCF30        20_column_families       10000       1024             100          256  thrpt   25  5486.251 ±  13.582  ops/s
MultiGetBenchmarks.multiGetListRandomCF30        20_column_families       10000       1024             100         1024  thrpt   25  4920.656 ±  44.557  ops/s
MultiGetBenchmarks.multiGetListRandomCF30        20_column_families       10000       1024             100         4096  thrpt   25  3922.913 ±  25.686  ops/s
MultiGetBenchmarks.multiGetListRandomCF30        20_column_families       10000       1024             100        16384  thrpt   25  2873.106 ±   4.336  ops/s
MultiGetBenchmarks.multiGetListRandomCF30        20_column_families       10000       1024             100        65536  thrpt   25   802.404 ±   8.967  ops/s
MultiGetBenchmarks.multiGetListRandomCF30       100_column_families       10000       1024             100          256  thrpt   25  4817.996 ±  18.042  ops/s
MultiGetBenchmarks.multiGetListRandomCF30       100_column_families       10000       1024             100         1024  thrpt   25  4243.922 ±  13.929  ops/s
MultiGetBenchmarks.multiGetListRandomCF30       100_column_families       10000       1024             100         4096  thrpt   25  3175.998 ±   7.773  ops/s
MultiGetBenchmarks.multiGetListRandomCF30       100_column_families       10000       1024             100        16384  thrpt   25  2321.990 ±  12.501  ops/s
MultiGetBenchmarks.multiGetListRandomCF30       100_column_families       10000       1024             100        65536  thrpt   25  1753.028 ±   7.130  ops/s
```

Closes https://github.com/facebook/rocksdb/issues/11518

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12344

Reviewed By: cbi42

Differential Revision: D54809714

Pulled By: pdillinger

fbshipit-source-id: bee3b949720abac073bce043b59ce976a11e99eb
2024-03-12 12:42:08 -07:00
anand76 28c1c15c29 Sync tickers and histograms across C++ and Java (#12355)
Summary:
The RocksDB ticker and histogram statistics were out of sync between the C++ and Java code, with a number of newer stats missing in TickerType.java and HistogramType.java. Also, there were gaps in numbering in portal.h, which could soon become an issue due to the number of tickers and the fact that we're limited to 1 byte in Java. This PR adds the missing stats, and re-numbers all of them. It also moves some stats around to try to group related stats together. Since this will go into a major release, compatibility shouldn't be an issue.

This should be automated at some point, since the current process is somewhat error prone.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12355

Reviewed By: jaykorean

Differential Revision: D53825324

Pulled By: anand1976

fbshipit-source-id: 298c180872f4b9f1ee54b8bb22f4e280458e7e09
2024-02-15 17:22:03 -08:00
Yu Zhang 4bea83aa44 Remove the force mode for EnableFileDeletions API (#12337)
Summary:
There is no strong reason for user to need this mode while on the other hand, its behavior is destructive.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12337

Reviewed By: hx235

Differential Revision: D53630393

Pulled By: jowlyzhang

fbshipit-source-id: ce94b537258102cd98f89aa4090025663664dd78
2024-02-13 18:36:25 -08:00
Hui Xiao 1a885fe730 Remove deprecated Options::access_hint_on_compaction_start (#11654)
Summary:
**Context:**
`Options::access_hint_on_compaction_start ` is marked deprecated and now ready to be removed.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11654

Test Plan:
Multiple db_stress runs with pre-PR and post-PR binary randomly to ensure forward/backward compatibility on options 36a5686ec0?fbclid=IwAR2IcdAUdTvw9O9V5GkHEYJRGMVR9p7Ei-LMa-9qiXlj3z80DxjkxlGnP1E
`python3 tools/db_crashtest.py --simple blackbox --interval=30`

Reviewed By: cbi42

Differential Revision: D47892459

Pulled By: hx235

fbshipit-source-id: a62f46a0377fe143be7638e218978d5431c15c56
2024-02-05 13:35:19 -08:00
马越 3a287796e3 Fix the problem that wrong Key may be passed when using CompactRange JAVA API (#12328)
Summary:
When using the Rocksdb Java API.

When we use Java code to call `db.compactRange (columnFamilyHandle, start, null)` which means we hope to perform range compaction on keys bigger than **start**.
we expected call to the corresponding C++ code : `db->compactRange (columnFamilyHandle, &start, nullptr)`
But in reality, what is being called is
`db ->compactRange (columnFamilyHandle,start,"")`

The problem here is the `null` in Java are not converted to `nullptr`, but rather to `""`, which may result in some unexpected results

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12328

Reviewed By: jowlyzhang

Differential Revision: D53432749

Pulled By: cbi42

fbshipit-source-id: eeadd19d05667230568668946d2ef1d5b2568268
2024-02-05 11:05:57 -08:00
Peter Dillinger 76c834e441 Remove 'virtual' when implied by 'override' (#12319)
Summary:
... to follow modern C++ style / idioms.

Used this hack:
```
for FILE in `cat my_list_of_files`; do perl -pi -e 'BEGIN{undef $/;} s/ virtual( [^;{]* override)/$1/smg' $FILE; done
```

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12319

Test Plan: existing tests, CI

Reviewed By: jaykorean

Differential Revision: D53275303

Pulled By: pdillinger

fbshipit-source-id: bc0881af270aa8ef4d0ae4f44c5a6614b6407377
2024-01-31 13:14:42 -08:00
Radek Hubner 1d8c54aeaa Fix build on OpenBSD i386 (#12142)
Summary: Pull Request resolved: https://github.com/facebook/rocksdb/pull/12142

Reviewed By: pdillinger

Differential Revision: D53150218

Pulled By: ajkr

fbshipit-source-id: a4c4d9d22d99e8a82d93d1a7ef37ec5326855cb5
2024-01-29 16:19:59 -08:00
Radek Hubner 0bf9079d44 Change Java native methods to static (#11882)
Summary:
This should give us some performance benefit calling native C++ code.
Closes https://github.com/facebook/rocksdb/issues/4786
See https://github.com/evolvedbinary/jni-benchmarks/ for more info.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11882

Reviewed By: pdillinger

Differential Revision: D53066207

Pulled By: ajkr

fbshipit-source-id: daedef185215d0d8e791cd85bef598900bcb5bf2
2024-01-25 12:36:30 -08:00
Neil Ramaswamy 4835c11cce Add native logger support to RocksJava (#12213)
Summary:
## Overview

In this PR, we introduce support for setting the RocksDB native logger through Java. As mentioned in the discussion on the [Google Group discussion](https://groups.google.com/g/rocksdb/c/xYmbEs4sqRM/m/e73E4whJAQAJ), this work is primarily motivated by the  JDK 17 [performance regression in JNI thread attach/detach calls](https://bugs.openjdk.org/browse/JDK-8314859): the only existing RocksJava logging configuration call, `setLogger`, invokes the provided logger over the JNI.

## Changes

Specifically, these changes add support for the `devnull` and `stderr` native loggers. For the `stderr` logger, we add the ability to prefix every log with a `logPrefix`, so that it becomes possible know which database a particular log is coming from (if multiple databases are in use). The  API looks like the following:

```java
Options opts = new Options();

NativeLogger stderrNativeLogger = NativeLogger.newStderrLogger(
  InfoLogLevel.DEBUG_LEVEL, "[my prefix here]");
options.setLogger(stderrNativeLogger);

try (final RocksDB db = RocksDB.open(options, ...))  {...}

// Cleanup
stderrNativeLogger.close()
opts.close();
```

Note that the API to set the logger is the same, via `Options::setLogger` (or `DBOptions::setLogger`). However, it will set the RocksDB logger to be native when  the provided logger is an instance of `NativeLogger`.

## Testing

Two tests have been added in `NativeLoggerTest.java`. The first test creates both the `devnull` and `stderr` loggers, and sets them on the associated `Options`. However, to avoid polluting the testing output with logs from `stderr`, only the `devnull` logger is actually used in the test. The second test does the same logic, but for `DBOptions`.

It is possible to manually verify the `stderr` logger by modifying the tests slightly, and observing that the console indeed gets cluttered with logs from `stderr`.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12213

Reviewed By: cbi42

Differential Revision: D52772306

Pulled By: ajkr

fbshipit-source-id: 4026895f78f9cc250daf6bfa57427957e2d8b053
2024-01-17 17:51:36 -08:00
haobo sun 09411e199d Format async io for Java API (#12192)
Summary:
Format https://github.com/facebook/rocksdb/issues/12184  according to adamretter 's comments.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12192

Reviewed By: cbi42

Differential Revision: D52457427

Pulled By: ajkr

fbshipit-source-id: 75b1be5d89687be4e58e618d693a6a120c5efc78
2024-01-02 13:19:08 -08:00
Hui Xiao 06e593376c Group SST write in flush, compaction and db open with new stats (#11910)
Summary:
## Context/Summary
Similar to https://github.com/facebook/rocksdb/pull/11288, https://github.com/facebook/rocksdb/pull/11444, categorizing SST/blob file write according to different io activities allows more insight into the activity.

For that, this PR does the following:
- Tag different write IOs by passing down and converting WriteOptions to IOOptions
- Add new SST_WRITE_MICROS histogram in WritableFileWriter::Append() and breakdown FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS

Some related code refactory to make implementation cleaner:
- Blob stats
   - Replace high-level write measurement with low-level WritableFileWriter::Append() measurement for BLOB_DB_BLOB_FILE_WRITE_MICROS. This is to make FILE_WRITE_{FLUSH|COMPACTION|DB_OPEN}_MICROS  include blob file. As a consequence, this introduces some behavioral changes on it, see HISTORY and db bench test plan below for more info.
   - Fix bugs where BLOB_DB_BLOB_FILE_SYNCED/BLOB_DB_BLOB_FILE_BYTES_WRITTEN include file failed to sync and bytes failed to write.
- Refactor WriteOptions constructor for easier construction with io_activity and rate_limiter_priority
- Refactor DBImpl::~DBImpl()/BlobDBImpl::Close() to bypass thread op verification
- Build table
   - TableBuilderOptions now includes Read/WriteOpitons so BuildTable() do not need to take these two variables
   - Replace the io_priority passed into BuildTable() with TableBuilderOptions::WriteOpitons::rate_limiter_priority. Similar for BlobFileBuilder.
This parameter is used for dynamically changing file io priority for flush, see  https://github.com/facebook/rocksdb/pull/9988?fbclid=IwAR1DtKel6c-bRJAdesGo0jsbztRtciByNlvokbxkV6h_L-AE9MACzqRTT5s for more
   - Update ThreadStatus::FLUSH_BYTES_WRITTEN to use io_activity to track flush IO in flush job and db open instead of io_priority

## Test
### db bench

Flush
```
./db_bench --statistics=1 --benchmarks=fillseq --num=100000 --write_buffer_size=100

rocksdb.sst.write.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.flush.micros P50 : 1.830863 P95 : 4.094720 P99 : 6.578947 P100 : 26.000000 COUNT : 7875 SUM : 20377
rocksdb.file.write.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.db.open.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
```

compaction, db oopen
```
Setup: ./db_bench --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench

Run:./db_bench --statistics=1 --benchmarks=compact  --db=../db_bench --use_existing_db=1

rocksdb.sst.write.micros P50 : 2.675325 P95 : 9.578788 P99 : 18.780000 P100 : 314.000000 COUNT : 638 SUM : 3279
rocksdb.file.write.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.write.compaction.micros P50 : 2.757353 P95 : 9.610687 P99 : 19.316667 P100 : 314.000000 COUNT : 615 SUM : 3213
rocksdb.file.write.db.open.micros P50 : 2.055556 P95 : 3.925000 P99 : 9.000000 P100 : 9.000000 COUNT : 23 SUM : 66
```

blob stats - just to make sure they aren't broken by this PR
```
Integrated Blob DB

Setup: ./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench

Run:./db_bench --enable_blob_files=1 --statistics=1 --benchmarks=compact  --db=../db_bench --use_existing_db=1

pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 7.298246 P95 : 9.771930 P99 : 9.991813 P100 : 16.000000 COUNT : 235 SUM : 1600
rocksdb.blobdb.blob.file.synced COUNT : 1
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842

post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 2.000000 P95 : 2.829360 P99 : 2.993779 P100 : 9.000000 COUNT : 707 SUM : 1614
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164

rocksdb.blobdb.blob.file.synced COUNT : 1 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 34842 (stay the same)
```

```
Stacked Blob DB

Run: ./db_bench --use_blob_db=1 --statistics=1 --benchmarks=fillseq --num=10000 --disable_auto_compactions=1 -write_buffer_size=100 --db=../db_bench

pre-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 12.808042 P95 : 19.674497 P99 : 28.539683 P100 : 51.000000 COUNT : 10000 SUM : 140876
rocksdb.blobdb.blob.file.synced COUNT : 8
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445

post-PR:
rocksdb.blobdb.blob.file.write.micros P50 : 1.657370 P95 : 2.952175 P99 : 3.877519 P100 : 24.000000 COUNT : 30001 SUM : 67924
- COUNT is higher and values are smaller as it includes header and footer write
- COUNT is 3X higher due to each Append() count as one post-PR, while in pre-PR, 3 Append()s counts as one. See https://github.com/facebook/rocksdb/pull/11910/files#diff-32b811c0a1c000768cfb2532052b44dc0b3bf82253f3eab078e15ff201a0dabfL157-L164

rocksdb.blobdb.blob.file.synced COUNT : 8 (stay the same)
rocksdb.blobdb.blob.file.bytes.written COUNT : 1043445 (stay the same)
```

###  Rehearsal CI stress test
Trigger 3 full runs of all our CI stress tests

###  Performance

Flush
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=ManualFlush/key_num:524288/per_key_size:256 --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark; enable_statistics = true

Pre-pr: avg 507515519.3 ns
497686074,499444327,500862543,501389862,502994471,503744435,504142123,504224056,505724198,506610393,506837742,506955122,507695561,507929036,508307733,508312691,508999120,509963561,510142147,510698091,510743096,510769317,510957074,511053311,511371367,511409911,511432960,511642385,511691964,511730908,

Post-pr: avg 511971266.5 ns, regressed 0.88%
502744835,506502498,507735420,507929724,508313335,509548582,509994942,510107257,510715603,511046955,511352639,511458478,512117521,512317380,512766303,512972652,513059586,513804934,513808980,514059409,514187369,514389494,514447762,514616464,514622882,514641763,514666265,514716377,514990179,515502408,
```

Compaction
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_{pre|post}_pr --benchmark_filter=ManualCompaction/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1  --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark

Pre-pr: avg 495346098.30 ns
492118301,493203526,494201411,494336607,495269217,495404950,496402598,497012157,497358370,498153846

Post-pr: avg 504528077.20, regressed 1.85%. "ManualCompaction" include flush so the isolated regression for compaction should be around 1.85-0.88 = 0.97%
502465338,502485945,502541789,502909283,503438601,504143885,506113087,506629423,507160414,507393007
```

Put with WAL (in case passing WriteOptions slows down this path even without collecting SST write stats)
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_pre_pr --benchmark_filter=DBPut/comp_style:0/max_data:107374182400/per_key_size:256/enable_statistics:1/wal:1  --benchmark_repetitions=1000
-- default: 1 thread is used to run benchmark

Pre-pr: avg 3848.10 ns
3814,3838,3839,3848,3854,3854,3854,3860,3860,3860

Post-pr: avg 3874.20 ns, regressed 0.68%
3863,3867,3871,3874,3875,3877,3877,3877,3880,3881
```

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11910

Reviewed By: ajkr

Differential Revision: D49788060

Pulled By: hx235

fbshipit-source-id: 79e73699cda5be3b66461687e5147c2484fc5eff
2023-12-29 15:29:23 -08:00
haobo sun 2a8b2df383 Add async_io for Java API (#12184)
Summary:
Fixes https://github.com/facebook/rocksdb/issues/12183

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12184

Reviewed By: hx235

Differential Revision: D52421787

Pulled By: ajkr

fbshipit-source-id: ad3bdae9be51bef5a208b02ceb08f6feb9fac8e4
2023-12-26 14:33:11 -08:00
Nicolas Pepin-Perreault 5b073a7daa Access SST full file checksum via RocksDB#getLiveFilesMetadata (#11770)
Summary:
**Description**

This PR passes along the native `LiveFileMetaData#file_checksum` field from the C++ class to the Java API as a copied byte array. If there is no file checksum generator factory set beforehand, then the array will empty. Please advise if you'd rather it be null - an empty array means one extra allocation, but it avoids possible null pointer exceptions.

> **Note**
> This functionality complements but does not supersede https://github.com/facebook/rocksdb/issues/11736

It's outside the scope here to add support for Java based `FileChecksumGenFactory` implementations. As a workaround, users can already use the built-in one by creating their initial `DBOptions` via properties:

```java
final Properties props = new Properties();
props.put("file_checksum_gen_factory", "FileChecksumGenCrc32cFactory");

try (final DBOptions dbOptions = DBOptions.getDBOptionsFromProps(props);
     final ColumnFamilyOptions cfOptions = new ColumnFamilyOptions();
     final Options options = new Options(dbOptions, cfOptions).setCreateIfMissing(true)) {
// do stuff
}
```

I wanted to add a better test, but unfortunately there's no available CRC32C implementation available in Java 8 without adding a dependency or adding a JNI helper for RocksDB's own implementation (or bumping the minimum version for tests to Java 9). That said, I understand the test is rather poor, so happy to change it to whatever you'd like.

**Context**

To give some context, we replicate RocksDB checkpoints to other nodes. Part of this is verifying the integrity of each file during replication. With a large enough RocksDB, computing the checksum ourselves is prohibitively expensive. Since SST files comprise the bulk of the data, we'd much rather delegate this to RocksDB on file write, and read it back after to compare.

It's likely we will provide a follow up to read the file checksum list directly from the manifest without having to open the DB, but this was the easiest first step to get it working for us.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11770

Reviewed By: hx235

Differential Revision: D52420729

Pulled By: ajkr

fbshipit-source-id: a873de35a48aaf315e125733091cd221a97b9073
2023-12-26 14:02:36 -08:00
Adam Retter d8c1ab8b2d Add Iterator::Refresh(Snapshot*) to RocksJava (#12145)
Summary:
Adds the API to RocksJava.
Also improves the C++ doc for Iterator::Refresh(Snapshot*)
Closes https://github.com/facebook/rocksdb/issues/12095

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12145

Reviewed By: hx235

Differential Revision: D52266452

Pulled By: ajkr

fbshipit-source-id: 6b72b41672081b966b0c5dd07d9bf151ed009122
2023-12-20 18:03:42 -08:00
akankshamahajan 7b24dec25d Fix header files to meet Open source requirements (#12164)
Summary:
Same as title

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12164

Reviewed By: hx235

Differential Revision: D52302234

Pulled By: akankshamahajan15

fbshipit-source-id: d4724fc944c773242788f5a47d1c7eadbbc5a522
2023-12-19 13:43:17 -08:00
Radek Hubner f7486ff6a3 Add deletion-triggered compaction to RocksJava (#12028)
Summary: Pull Request resolved: https://github.com/facebook/rocksdb/pull/12028

Reviewed By: akankshamahajan15

Differential Revision: D52264983

Pulled By: ajkr

fbshipit-source-id: 02d08015b4bffac06d889dc1be50a51d03f891b3
2023-12-18 13:43:01 -08:00
anand76 cc069f25b3 Add some compressed and tiered secondary cache stats (#12150)
Summary:
Add statistics for more visibility.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12150

Reviewed By: akankshamahajan15

Differential Revision: D52184633

Pulled By: anand1976

fbshipit-source-id: 9969e05d65223811cd12627102b020bb6d229352
2023-12-15 11:34:08 -08:00
Alan Paxton 5a063ecd34 Java API consistency between RocksDB.put() , .merge() and Transaction.put() , .merge() (#11019)
Summary:
### Implement new Java API get()/put()/merge() methods, and transactional variants.

The Java API methods are very inconsistent in terms of how they pass parameters (byte[], ByteBuffer), and what variants and defaulted parameters they support. We try to bring some consistency to this.
 * All APIs should support calls with ByteBuffer parameters.
 * Similar methods (RocksDB.get() vs Transaction.get()) should support as similar as possible sets of parameters for predictability.
 * get()-like methods should provide variants where the caller supplies the target buffer, for the sake of efficiency. Allocation costs in Java can be significant when large buffers are repeatedly allocated and freed.

### API Additions

 1. RockDB.get implement indirect ByteBuffers. Added indirect ByteBuffers and supporting native methods for get().
 2. RocksDB.Iterator implement missing (byte[], offset, length) variants for key() and value() parameters.
 3. Transaction.get() implement missing methods, based on RocksDB.get. Added ByteBuffer.get with and without column family. Added byte[]-as-target get.
 4. Transaction.iterator() implement a getIterator() which defaults ReadOptions; as per RocksDB.iterator(). Rationalize support API for this and RocksDB.iterator()
 5. RocksDB.merge implement ByteBuffer methods; both direct and indirect buffers. Shadow the methods of RocksDB.put; RocksDB.put only offers ByteBuffer API with explicit WriteOptions. Duplicated this with RocksDB.merge
 6. Transaction.merge implement methods as per RocksDB.merge methods. Transaction is already constructed with WriteOptions, so no explicit WriteOptions methods required.
 7. Transaction.mergeUntracked implement the same API methods as Transaction.merge except the ones that use assumeTracked, because that’s not a feature of merge untracked.

### Support Changes (C++)

The current JNI code in C++ supports multiple variants of methods through a number of helper functions. There are numerous TODO suggestions in the code proposing that the helpers be re-factored/shared.

We have taken a different approach for the new methods; we have created wrapper classes `JDirectBufferSlice`, `JDirectBufferPinnableSlice`, `JByteArraySlice` and `JByteArrayPinnableSlice` RAII classes which construct slices from JNI parameters and can then be passed directly to RocksDB methods. For instance, the `Java_org_rocksdb_Transaction_getDirect` method is implemented like this:

```
  try {
    ROCKSDB_NAMESPACE::JDirectBufferSlice key(env, jkey_bb, jkey_off,
                                              jkey_part_len);
    ROCKSDB_NAMESPACE::JDirectBufferPinnableSlice value(env, jval_bb, jval_off,
                                                        jval_part_len);
    ROCKSDB_NAMESPACE::KVException::ThrowOnError(
        env, txn->Get(*read_options, column_family_handle, key.slice(),
                      &value.pinnable_slice()));
    return value.Fetch();
  } catch (const ROCKSDB_NAMESPACE::KVException& e) {
    return e.Code();
  }
```
Notice the try/catch mechanism with the `KVException` class, which combined with RAII and the wrapper classes means that there is no ad-hoc cleanup necessary in the JNI methods.

We propose to extend this mechanism to existing JNI methods as further work.

### Support Changes (Java)

Where there are multiple parameter-variant versions of the same method, we use fewer or just one supporting native method for all of them. This makes maintenance a bit easier and reduces the opportunity for coding errors mixing up (untyped) object handles.

In  order to support this efficiently, some classes need to have default values for column families and read options added and cached so that they are not re-constructed on every method call.

This PR closes https://github.com/facebook/rocksdb/issues/9776

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11019

Reviewed By: ajkr

Differential Revision: D52039446

Pulled By: jowlyzhang

fbshipit-source-id: 45d0140a4887e42134d2e56520e9b8efbd349660
2023-12-11 11:03:17 -08:00
Radek Hubner 2f9ea8193f Add HyperClockCache Java API. (#12065)
Summary:
Fix https://github.com/facebook/rocksdb/issues/11510

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12065

Reviewed By: ajkr

Differential Revision: D51406695

Pulled By: cbi42

fbshipit-source-id: b9e32da5f9bcafb5365e4349f7295be90d5aa7ba
2023-11-16 15:46:31 -08:00
Jay Huh 8b8f6c63ef ColumnFamilyHandle Nullcheck in GetEntity and MultiGetEntity (#12057)
Summary:
- Add missing null check for ColumnFamilyHandle in `GetEntity()`
- `FailIfCfHasTs()` now returns `Status::InvalidArgument()` if `column_family` is null. `MultiGetEntity()` can rely on this for cfh null check.
- Added `DeleteRange` API using Default Column Family to be consistent with other major APIs (This was also causing Java Test failure after the `FailIfCfHasTs()` change)

Pull Request resolved: https://github.com/facebook/rocksdb/pull/12057

Test Plan:
- Updated `DBWideBasicTest::GetEntityAsPinnableAttributeGroups` to include null CF case
- Updated `DBWideBasicTest::MultiCFMultiGetEntityAsPinnableAttributeGroups` to include null CF case

Reviewed By: jowlyzhang

Differential Revision: D51167445

Pulled By: jaykorean

fbshipit-source-id: 1c1e44fd7b7df4d2dc3bb2d7d251da85bad7d664
2023-11-13 14:30:04 -08:00
马越 19768a923a Add jni Support for API CreateColumnFamilyWithImport (#11646)
Summary:
- Add the following missing options to src/main/java/org/rocksdb/ImportColumnFamilyOptions.java and in java/rocksjni/import_column_family_options.cc in RocksJava.
- Add the struct to src/main/java/org/rocksdb/ExportImportFilesMetaData.java and in java/rocksjni/export_import_files_metadatajni.cc in RocksJava.
- Add New Java API `createColumnFamilyWithImport` to src/main/java/org/rocksdb/RocksDB.java
- Add New Java API `exportColumnFamily` to src/main/java/org/rocksdb/Checkpoint.java

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11646

Test Plan:
- added unit tests for exportColumnFamily in org.rocksdb.CheckpointTest
- added unit tests for createColumnFamilyWithImport to org.rocksdb.ImportColumnFamilyTest

Reviewed By: ajkr

Differential Revision: D50889700

Pulled By: cbi42

fbshipit-source-id: d623b35e445bba62a0d3c007d74352e937678f6c
2023-11-06 07:38:42 -08:00
马越 8e1adab5ce add RocksDB#clipColumnFamily to Java API (#11868)
Summary:
### main change:

- add java clipColumnFamily api in Rocksdb.java
The method signature of the new API is
 ```
 public void clipColumnFamily(final ColumnFamilyHandle columnFamilyHandle, final byte[] beginKey,
      final byte[] endKey)
```
### Test
add unit test RocksDBTest#clipColumnFamily()

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11868

Reviewed By: jaykorean

Differential Revision: D50889783

Pulled By: cbi42

fbshipit-source-id: 7f545171ad9adb9c20bdd92efae2e6bc55d5703f
2023-11-02 08:00:08 -07:00
anand76 e81393e81e Add some stats to observe the usefulness of scan prefetching (#11981)
Summary:
Add stats for better observability of scan prefetching. Its only implemented for sync scan right now. These stats can help inform future improvements in scan prefetching.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11981

Test Plan: Add a new unit test

Reviewed By: akankshamahajan15

Differential Revision: D50516505

Pulled By: anand1976

fbshipit-source-id: cb1cc6cf02df8295930a49c62b11870020df3f97
2023-10-23 14:42:44 -07:00
Hui Xiao 0836a2b26d New tickers on deletion compactions grouped by reasons (#11957)
Summary:
Context/Summary: as titled

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11957

Test Plan: piggyback on existing tests; fixed a failed test due to adding new stats

Reviewed By: ajkr, cbi42

Differential Revision: D50294310

Pulled By: hx235

fbshipit-source-id: d99b97ebac41efc1bdeaf9ca7a1debd2927d54cd
2023-10-18 18:00:07 -07:00
Radek Hubner 55590012ae Add RocksJava tests to CMake (#11756)
Summary:
Refactor CMake build to allow run java tests via CMake, including Windows.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11756

Reviewed By: hx235

Differential Revision: D50370739

Pulled By: akankshamahajan15

fbshipit-source-id: ae05cc08a0f9bb2a0a4f1ece02c523fb465bb817
2023-10-18 12:51:50 -07:00
Radek Hubner a80e3f6c57 Add keyExists Java API (#11705)
Summary:
Add a new method to check if a key exists in the database. It avoids copying data between C++ and Java code.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11705

Reviewed By: ajkr

Differential Revision: D50370934

Pulled By: akankshamahajan15

fbshipit-source-id: ab2d42213fbebcaff919b0ffbbef9d45e88ca365
2023-10-18 12:46:35 -07:00
Alan Paxton b2fe14817e java API - load block based table config (#10826)
Summary:
Closes https://github.com/facebook/rocksdb/issues/5297

The BlockBasedTableConfig (or more generally, the TableFormatConfig) of ColumnFamilyOptions, isn't being constructed when column family options are loaded. This happens in `OptionsUtil` which implements the loading.

In `OptionsUtil` we add the method `private native static TableFormatConfig readTableFormatConfig(final long nativeHandle_)` which defers to a JNI method which creates a `TableFormatConfig` (specifically a `BlockBasedTableConfig`) for the supplied `ColumnFamilyOptions`, by copying the table format attached to the C++ column family options. A new Java constructor for `BlockBasedTableConfig` is implemented which is called from C++ with the parameters retrieved from the table format, and then returned to the calling `readTableFormatConfig`.

At the Java side in `OptionsUtil`, the new `TableFormatConfig` is added as the `tableFormatConfig_` field of the `ColumnFamilyOptions`.

To support this, the new class `BlockBasedTableOptionsJni` and associated support methods are added to 'portal.h'.

`BloomFilter.java` has a constructor and field added so that the filter in use can be read back and inspected.

`FilterPolicyType.java` implements an enum (shadowed in C++) to support transfer of filter policy information back to Java from being read at the C++ side.

 Tests written to cover the block based table config, and cleaned up and generalised a bit as some of the methods on OptionsUtil weren't tested; and these had their own unique JNI method variants which in turn were never exercised in test.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/10826

Reviewed By: ajkr

Differential Revision: D50136247

Pulled By: jowlyzhang

fbshipit-source-id: 39387448147abc574e99f43979d89b0900e5f81d
2023-10-12 09:39:01 -07:00
Levi Tamasi 5e2906c288 Add missing copyright headers to files added in PR 11805 (#11942)
Summary: Pull Request resolved: https://github.com/facebook/rocksdb/pull/11942

Reviewed By: akankshamahajan15

Differential Revision: D50188986

fbshipit-source-id: 56a8e72eac085470824e33f2126d2a6ec3880400
2023-10-11 12:56:39 -07:00
Radek Hubner 98ab2d80fa Add PerfContext API in Java (#11805)
Summary:
This PR expose RocksDB C++ API for performance measurement in Java.
It's initial implementation and it doesn't support ```level_to_perf_context```

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11805

Reviewed By: akankshamahajan15

Differential Revision: D50128356

Pulled By: ltamasi

fbshipit-source-id: afb35980a89129a30d4a6b4cce12352c9de186b6
2023-10-10 11:07:33 -07:00
akankshamahajan f65a0379f0 Implement trimming of readhead size when upper bound is specified (#11684)
Summary:
Implement trimming of readahead_size under a new option ReadOptions.auto_readahead_size. It'll trim the readahead_size during prefetching upto iterate_upper_bound offset only when ReadOptions.iterate_upper_bound is set, therefore reducing the prefetching of data beyond upper_bound.
It's enabled for both implicit auto readahead size and when ReadOptions.readahead_size is specified and for sync and async_io.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11684

Test Plan: Added new unit test

Reviewed By: anand1976

Differential Revision: D48479723

Pulled By: akankshamahajan15

fbshipit-source-id: 2b1703579caf779105e836b580866ffd7db076fc
2023-08-18 15:52:04 -07:00
Hui Xiao 9a034801ce Group rocksdb.sst.read.micros stat by different user read IOActivity + misc (#11444)
Summary:
**Context/Summary:**
- Similar to https://github.com/facebook/rocksdb/pull/11288 but for user read such as `Get(), MultiGet(), DBIterator::XXX(), Verify(File)Checksum()`.
   - For this, I refactored some user-facing `MultiGet` calls in `TransactionBase` and various types of `DB` so that it does not call a user-facing `Get()` but `GetImpl()` for passing the `ReadOptions::io_activity` check (see PR conversation)
   - New user read stats breakdown are guarded by `kExceptDetailedTimers` since measurement shows they have 4-5% regression to the upstream/main.

- Misc
   - More refactoring: with https://github.com/facebook/rocksdb/pull/11288, we complete passing `ReadOptions/IOOptions` to FS level. So we can now replace the previously [added](https://github.com/facebook/rocksdb/pull/9424) `rate_limiter_priority` parameter in `RandomAccessFileReader`'s `Read/MultiRead/Prefetch()` with `IOOptions::rate_limiter_priority`
   - Also, `ReadAsync()` call time is measured in `SST_READ_MICRO` now

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11444

Test Plan:
- CI fake db crash/stress test
- Microbenchmarking

**Build** `make clean && ROCKSDB_NO_FBCODE=1 DEBUG_LEVEL=0 make -jN db_basic_bench`
- google benchmark version: 604f6fd3f4
- db_basic_bench_base: upstream
- db_basic_bench_pr: db_basic_bench_base + this PR
- asyncread_db_basic_bench_base: upstream + [db basic bench patch for IteratorNext](https://github.com/facebook/rocksdb/compare/main...hx235:rocksdb:micro_bench_async_read)
- asyncread_db_basic_bench_pr: asyncread_db_basic_bench_base + this PR

**Test**

Get
```
TEST_TMPDIR=/dev/shm ./db_basic_bench_{null_stat|base|pr} --benchmark_filter=DBGet/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1/negative_query:0/enable_filter:0/mmap:1/threads:1 --benchmark_repetitions=1000
```

Result
```
Coming soon
```

AsyncRead
```
TEST_TMPDIR=/dev/shm ./asyncread_db_basic_bench_{base|pr} --benchmark_filter=IteratorNext/comp_style:0/max_data:134217728/per_key_size:256/enable_statistics:1/async_io:1/include_detailed_timers:0 --benchmark_repetitions=1000 > syncread_db_basic_bench_{base|pr}.out
```

Result
```
Base:
1956,1956,1968,1977,1979,1986,1988,1988,1988,1990,1991,1991,1993,1993,1993,1993,1994,1996,1997,1997,1997,1998,1999,2001,2001,2002,2004,2007,2007,2008,

PR (2.3% regression, due to measuring `SST_READ_MICRO` that wasn't measured before):
1993,2014,2016,2022,2024,2027,2027,2028,2028,2030,2031,2031,2032,2032,2038,2039,2042,2044,2044,2047,2047,2047,2048,2049,2050,2052,2052,2052,2053,2053,
```

Reviewed By: ajkr

Differential Revision: D45918925

Pulled By: hx235

fbshipit-source-id: 58a54560d9ebeb3a59b6d807639692614dad058a
2023-08-08 17:26:50 -07:00
Vardhan 87a21d08fe Add an option to trigger flush when the number of range deletions reach a threshold (#11358)
Summary:
Add a mutable column family option `memtable_max_range_deletions`. When non-zero, RocksDB will try to flush the current memtable after it has at least `memtable_max_range_deletions` range deletions. Java API is added and crash test is updated accordingly to randomly enable this option.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11358

Test Plan:
* New unit test: `DBRangeDelTest.MemtableMaxRangeDeletions`
* Ran crash test `python3 ./tools/db_crashtest.py whitebox --simple --memtable_max_range_deletions=20` and saw logs showing flushed memtables usually with 20 range deletions.

Reviewed By: ajkr

Differential Revision: D46582680

Pulled By: cbi42

fbshipit-source-id: f23d6fa8d8264ecf0a18d55c113ba03f5e2504da
2023-08-02 19:58:56 -07:00
Alan Paxton 93e0715fad Implement missing compactrangeoptions from Java API (#10880)
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
2023-05-24 11:04:46 -07:00
Hui Xiao 50046869a4 Add rocksdb.file.read.db.open.micros (#11455)
Summary:
**Context/Summary:**
`rocksdb.file.read.db.open.micros` is left out in https://github.com/facebook/rocksdb/pull/11288

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11455

Test Plan:
- db bench
Setup: `./db_bench -db=/dev/shm/testdb/ -statistics=true -benchmarks="fillseq" -key_size=32 -value_size=512 -num=5000 -write_buffer_size=655 -target_file_size_base=655 -disable_auto_compactions=false -compression_type=none -bloom_bits=3`
Run:
`./db_bench --bloom_bits=3 --use_existing_db=1 --seed=1682546046158958 --partition_index_and_filters=1 --statistics=1 -db=/dev/shm/testdb/  -benchmarks=readrandom  -key_size=3200 -value_size=512 -num=0 -write_buffer_size=6550000 -disable_auto_compactions=false -target_file_size_base=6550000 -compression_type=none -file_checksum=1 -cache_size=1`

```
rocksdb.sst.read.micros P50 : 3.979798 P95 : 9.738420 P99 : 19.566667 P100 : 39.000000 COUNT : 2360 SUM : 12148
rocksdb.file.read.flush.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.read.compaction.micros P50 : 0.000000 P95 : 0.000000 P99 : 0.000000 P100 : 0.000000 COUNT : 0 SUM : 0
rocksdb.file.read.db.open.micros P50 : 3.979798 P95 : 9.738420 P99 : 19.566667 P100 : 39.000000 COUNT : 2360 SUM : 12148
```

Reviewed By: ajkr

Differential Revision: D45951934

Pulled By: hx235

fbshipit-source-id: 6c88639dc1b10d98ecccc963ce32a8800495f55b
2023-05-18 09:26:29 -07:00
Peter Dillinger 206fdea3d9 Change internal headers with duplicate names (#11408)
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
2023-05-17 11:27:09 -07:00
Andrew Kryczka 113f3250f1 Add block checksum mismatch ticker stat (#11438)
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
2023-05-12 18:16:11 -07:00
Hui Xiao 151242ce46 Group rocksdb.sst.read.micros stat by IOActivity flush and compaction (#11288)
Summary:
**Context:**
The existing stat rocksdb.sst.read.micros does not reflect each of compaction and flush cases but aggregate them, which is not so helpful for us to understand IO read behavior of each of them.

**Summary**
- Update `StopWatch` and `RandomAccessFileReader` to record `rocksdb.sst.read.micros` and `rocksdb.file.{flush/compaction}.read.micros`
   - Fixed the default histogram in `RandomAccessFileReader`
- New field `ReadOptions/IOOptions::io_activity`; Pass `ReadOptions` through paths under db open, flush and compaction to where we can prepare `IOOptions` and pass it to `RandomAccessFileReader`
- Use `thread_status_util` for assertion in `DbStressFSWrapper` for continuous testing on we are passing correct `io_activity` under db open, flush and compaction

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11288

Test Plan:
- **Stress test**
- **Db bench 1: rocksdb.sst.read.micros COUNT ≈ sum of rocksdb.file.read.flush.micros's and rocksdb.file.read.compaction.micros's.**  (without blob)
     - May not be exactly the same due to `HistogramStat::Add` only guarantees atomic not accuracy across threads.
```
./db_bench -db=/dev/shm/testdb/ -statistics=true -benchmarks="fillseq" -key_size=32 -value_size=512 -num=50000 -write_buffer_size=655 -target_file_size_base=655 -disable_auto_compactions=false -compression_type=none -bloom_bits=3 (-use_plain_table=1 -prefix_size=10)
```
```
// BlockBasedTable
rocksdb.sst.read.micros P50 : 2.009374 P95 : 4.968548 P99 : 8.110362 P100 : 43.000000 COUNT : 40456 SUM : 114805
rocksdb.file.read.flush.micros P50 : 1.871841 P95 : 3.872407 P99 : 5.540541 P100 : 43.000000 COUNT : 2250 SUM : 6116
rocksdb.file.read.compaction.micros P50 : 2.023109 P95 : 5.029149 P99 : 8.196910 P100 : 26.000000 COUNT : 38206 SUM : 108689

// PlainTable
Does not apply
```
- **Db bench 2: performance**

**Read**

SETUP: db with 900 files
```
./db_bench -db=/dev/shm/testdb/ -benchmarks="fillseq" -key_size=32 -value_size=512 -num=50000 -write_buffer_size=655  -disable_auto_compactions=true -target_file_size_base=655 -compression_type=none
```run till convergence
```
./db_bench -seed=1678564177044286 -use_existing_db=true -db=/dev/shm/testdb -benchmarks=readrandom[-X60] -statistics=true -num=1000000 -disable_auto_compactions=true -compression_type=none -bloom_bits=3
```
Pre-change
`readrandom [AVG 60 runs] : 21568 (± 248) ops/sec`
Post-change (no regression, -0.3%)
`readrandom [AVG 60 runs] : 21486 (± 236) ops/sec`

**Compaction/Flush**run till convergence
```
./db_bench -db=/dev/shm/testdb2/ -seed=1678564177044286 -benchmarks="fillseq[-X60]" -key_size=32 -value_size=512 -num=50000 -write_buffer_size=655  -disable_auto_compactions=false -target_file_size_base=655 -compression_type=none

rocksdb.sst.read.micros  COUNT : 33820
rocksdb.sst.read.flush.micros COUNT : 1800
rocksdb.sst.read.compaction.micros COUNT : 32020
```
Pre-change
`fillseq [AVG 46 runs] : 1391 (± 214) ops/sec;    0.7 (± 0.1) MB/sec`

Post-change (no regression, ~-0.4%)
`fillseq [AVG 46 runs] : 1385 (± 216) ops/sec;    0.7 (± 0.1) MB/sec`

Reviewed By: ajkr

Differential Revision: D44007011

Pulled By: hx235

fbshipit-source-id: a54c89e4846dfc9a135389edf3f3eedfea257132
2023-04-21 09:07:18 -07:00
Hui Xiao bab5f9a6f2 Add new stat rocksdb.table.open.prefetch.tail.read.bytes, rocksdb.table.open.prefetch.tail.{miss|hit} (#11265)
Summary:
**Context/Summary:**
We are adding new stats to measure behavior of prefetched tail size and look up into this buffer

The stat collection is done in FilePrefetchBuffer but only for prefetched tail buffer during table open for now using FilePrefetchBuffer enum. It's cleaner than the alternative of implementing in upper-level call places of FilePrefetchBuffer for table open. It also has the benefit of extensible to other types of FilePrefetchBuffer if needed. See db bench for perf regression concern.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11265

Test Plan:
**- Piggyback on existing test**
**- rocksdb.table.open.prefetch.tail.miss is harder to UT so I manually set prefetch tail read bytes to be small and run db bench.**
```
./db_bench -db=/tmp/testdb -statistics=true -benchmarks="fillseq" -key_size=32 -value_size=512 -num=5000 -write_buffer_size=655 -target_file_size_base=655 -disable_auto_compactions=false -compression_type=none -bloom_bits=3  -use_direct_reads=true
```
```
rocksdb.table.open.prefetch.tail.read.bytes P50 : 4096.000000 P95 : 4096.000000 P99 : 4096.000000 P100 : 4096.000000 COUNT : 225 SUM : 921600
rocksdb.table.open.prefetch.tail.miss COUNT : 91
rocksdb.table.open.prefetch.tail.hit COUNT : 1034
```
**- No perf regression observed in db_bench**

SETUP command: create same db with ~900 files for pre-change/post-change.
```
./db_bench -db=/tmp/testdb -benchmarks="fillseq" -key_size=32 -value_size=512 -num=500000 -write_buffer_size=655360  -disable_auto_compactions=true -target_file_size_base=16777216 -compression_type=none
```
TEST command 60 runs or til convergence: as suggested by anand1976 and akankshamahajan15, vary `seek_nexts` and `async_io` in testing.
```
./db_bench -use_existing_db=true -db=/tmp/testdb -statistics=false -cache_size=0 -cache_index_and_filter_blocks=false -benchmarks=seekrandom[-X60] -num=50000 -seek_nexts={10, 500, 1000} -async_io={0|1} -use_direct_reads=true
```
async io = 0, direct io read = true

  | seek_nexts = 10, 30 runs | seek_nexts = 500, 12 runs | seek_nexts = 1000, 6 runs
-- | -- | -- | --
pre-post change | 4776 (± 28) ops/sec;   24.8 (± 0.1) MB/sec | 288 (± 1) ops/sec;   74.8 (± 0.4) MB/sec | 145 (± 4) ops/sec;   75.6 (± 2.2) MB/sec
post-change | 4790 (± 32) ops/sec;   24.9 (± 0.2) MB/sec | 288 (± 3) ops/sec;   74.7 (± 0.8) MB/sec | 143 (± 3) ops/sec;   74.5 (± 1.6) MB/sec

async io = 1, direct io read = true
  | seek_nexts = 10, 54 runs | seek_nexts = 500, 6 runs | seek_nexts = 1000, 4 runs
-- | -- | -- | --
pre-post change | 3350 (± 36) ops/sec;   17.4 (± 0.2) MB/sec | 264 (± 0) ops/sec;   68.7 (± 0.2) MB/sec | 138 (± 1) ops/sec;   71.8 (± 1.0) MB/sec
post-change | 3358 (± 27) ops/sec;   17.4 (± 0.1) MB/sec  | 263 (± 2) ops/sec;   68.3 (± 0.8) MB/sec | 139 (± 1) ops/sec;   72.6 (± 0.6) MB/sec

Reviewed By: ajkr

Differential Revision: D43781467

Pulled By: hx235

fbshipit-source-id: a706a18472a8edb2b952bac3af40eec803537f2a
2023-03-15 14:02:43 -07:00
anand76 cf09917c18 Add filter/index/data secondary cache hits stats (#11246)
Summary:
Add more stats for better visibility into the usefulness of the secondary cache.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11246

Test Plan: Add a new unit test

Reviewed By: akankshamahajan15

Differential Revision: D43521364

Pulled By: anand1976

fbshipit-source-id: a92f04884e738a9bf40ad4047acaaaea343838a7
2023-02-28 10:36:56 -08:00
Alan Paxton d47126875b Fix Java API ComparatorOptions use after delete error (#11176)
Summary:
The problem
-------------
ComparatorOptions is AutoCloseable.

AbstractComparator does not hold a reference to its ComparatorOptions, but the native C++ ComparatorJniCallback holds a reference to the ComparatorOptions’ native C++ options structure. This gets deleted when the ComparatorOptions is closed, either explicitly, or as part of try-with-resources.

Later, the deleted C++ options structure gets used by the callback and the comparator options are effectively random.

The original bug report https://github.com/facebook/rocksdb/issues/8715 was caused by a GC-initiated finalization closing the still-in-use ComparatorOptions. As of 7.0, finalization of RocksDB objects no longer closes them, which worked round the reported bug, but still left ComparatorOptions with a potentially broken lifetime.

In any case, we encourage API clients to use the try-with-resources model, and so we need it to work. And if they don't use it, they leak resources.

The solution
-------------
The solution implemented here is to make a copy of the native C++ options object into the ComparatorJniCallback, rather than a reference. Then the deletion of the native object held by ComparatorOptions is *correctly* deleted when its scope is closed in try/finally.

Testing
-------
We added a regression unit test based on the original test for the reported ticket.

This checkin closes https://github.com/facebook/rocksdb/issues/8715

We expect that there are more instances of "lifecycle" bugs in the Java API. They are a major source of support time/cost, and we note that they could be addressed as a whole using the model proposed/prototyped in https://github.com/facebook/rocksdb/pull/10736

Pull Request resolved: https://github.com/facebook/rocksdb/pull/11176

Reviewed By: cbi42

Differential Revision: D43160885

Pulled By: pdillinger

fbshipit-source-id: 60b54215a02ad9abb17363319650328c00a9ad62
2023-02-17 13:03:41 -08:00