Summary:
Summary - Refactor FilePrefetchBuffer code
- Implementation:
FilePrefetchBuffer maintains a deque of free buffers (free_bufs_) of size num_buffers_ and buffers (bufs_) which contains the prefetched data. Whenever a buffer is consumed or is outdated (w.r.t. to requested offset), that buffer is cleared and returned to free_bufs_.
If a buffer is available in free_bufs_, it's moved to bufs_ and is sent for prefetching. num_buffers_ defines how many buffers are maintained that contains prefetched data.
If num_buffers_ == 1, it's a sequential read flow. Read API will be called on that one buffer whenever the data is requested and is not in the buffer.
If num_buffers_ > 1, then the data is prefetched asynchronosuly in the buffers whenever the data is consumed from the buffers and that buffer is freed.
If num_buffers > 1, then requested data can be overlapping between 2 buffers. To return the continuous buffer overlap_bufs_ is used. The requested data is copied from 2 buffers to the overlap_bufs_ and overlap_bufs_ is returned to
the caller.
- Merged Sync and Async code flow into one in FilePrefetchBuffer.
Test Plan -
- Crash test passed
- Unit tests
- Pending - Benchmarks
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12097
Reviewed By: ajkr
Differential Revision: D51759552
Pulled By: akankshamahajan15
fbshipit-source-id: 69a352945affac2ed22be96048d55863e0168ad5
Summary:
FilePrefetchBuffer makes an unchecked assumption about the behavior of RandomAccessFileReader::Read: that it will write to the provided buffer rather than returning the data in an alternate buffer. FilePrefetchBuffer has been quietly incompatible with mmap reads (e.g. allow_mmap_reads / use_mmap_reads) because in that case an alternate buffer is returned (mmapped memory). This incompatibility currently leads to quiet data corruption, as seen in amplified crash test failure in https://github.com/facebook/rocksdb/issues/12200.
In this change,
* Check whether RandomAccessFileReader::Read has the expected behavior, and fail if not. (Assertion failure in debug build, return Corruption in release build.) This will detect future regressions synchronously and precisely, rather than relying on debugging downstream data corruption.
* Why not recover? My understanding is that FilePrefetchBuffer is not intended for use when RandomAccessFileReader::Read uses an alternate buffer, so quietly recovering could lead to undesirable (inefficient) behavior.
* Mention incompatibility with mmap-based readers in the internal API comments for FilePrefetchBuffer
* Fix two cases where FilePrefetchBuffer could be used with mmap, both stemming from SstFileDumper, though one fix is in BlockBasedTableReader. There is currently no way to ask a RandomAccessFileReader whether it's using mmap, so we currently have to rely on other options as clues.
Keeping separate from https://github.com/facebook/rocksdb/issues/12200 in part because this change is more appropriate for backport than that one.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12206
Test Plan:
* Manually verified that the new check aids in debugging.
* Unit test added, that fails if either fix is missed.
* Ran blackbox_crash_test for hours, with and without https://github.com/facebook/rocksdb/issues/12200
Reviewed By: akankshamahajan15
Differential Revision: D52551701
Pulled By: pdillinger
fbshipit-source-id: dea87c5782b7c484a6c6e424585c8832dfc580dc
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
Summary:
Do a size verification on the MANIFEST file during DB shutdown, after closing the file. If the verification fails, write a new MANIFEST file. In the future, we can do a more thorough verification if we want to.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12174
Test Plan: Unit test, and some manual verification
Reviewed By: ajkr
Differential Revision: D52451184
Pulled By: anand1976
fbshipit-source-id: fc3bc170e22f6c9a9c482ee5ff592abab889df83
Summary:
Currently, the data are always compacted to the same level if exceed periodic_compaction_seconds which may confuse users, so we change it to allow trigger compaction to the next level here. It's a behavior change to users, and may affect users
who have disabled their ttl or ttl > periodic_compaction_seconds.
Relate issue: https://github.com/facebook/rocksdb/issues/12165
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12175
Reviewed By: ajkr
Differential Revision: D52446722
Pulled By: cbi42
fbshipit-source-id: ccd3d2c6434ed77055735a03408d4a62d119342f
Summary:
When ranking file by compaction priority in a level, prioritize files marked for compaction over files that are not marked. This only applies to default CompactPri kMinOverlappingRatio for now.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12187
Test Plan: * New unit tests
Reviewed By: ajkr
Differential Revision: D52437194
Pulled By: cbi42
fbshipit-source-id: 65ea9ce5bb421e598d539a55c8219b70844b82b3
Summary:
Currently, some numbers in the `tracer_analyzer_tool` may be a little confusing and unfriendly for people who want to add new query types.
It may be better to replace them with the existing enumeration type to improve readability.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10827
Reviewed By: ajkr
Differential Revision: D40576023
Pulled By: hx235
fbshipit-source-id: 0eb16820a15f365d53e848a3a8efd92928420429
Summary:
Now that `level_compaction_dynamic_level_bytes`'s default value is true, users who do not touch that setting and use non-leveled compaction will also see this log message. It can be info level rather than warning since, in the case mentioned, there is nothing the user needs to be warned about.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12186
Reviewed By: cbi42
Differential Revision: D52422499
Pulled By: ajkr
fbshipit-source-id: 8dbfcd102aab671b881ba047fb4a0a555b3e0a78
Summary:
The hardcoded nullptr argument for SystemClock to PERF_CPU_TIMER_GUARD ignored any SystemClock instance provided by the env; this was probably an oversight.
In practice, the defaulting SystemClock could lead to excessive `clock_gettime(CLOCK_THREAD_CPUTIME_ID)` syscalls if `report_bg_io_stats=true` which cannot be mitigated by the embedder.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12180
Reviewed By: hx235
Differential Revision: D52421750
Pulled By: ajkr
fbshipit-source-id: 92f8a93cebe9f8030ea5f6c3bf35398078e6bdfe
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
Summary:
Through code inspection in debugging an apparent leak of ColumnFamilyData in the crash test, I found a case where too few UnrefAndTryDelete() could be called on a cfd. This fixes that case, which would fail like this in the new unit test:
```
db_flush_test: db/column_family.cc:1648:
rocksdb::ColumnFamilySet::~ColumnFamilySet(): Assertion `last_ref' failed.
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12176
Test Plan: unit test added
Reviewed By: cbi42
Differential Revision: D52417071
Pulled By: pdillinger
fbshipit-source-id: 4ee33c918409cf9c1968f138e273d3347a6cc8e5
Summary:
* Largely based on https://github.com/facebook/rocksdb/issues/12085 but grouped into one large workflow because of bad GHA UI design (see comments).
* Windows job details consolidated into an action file so that those jobs can easily move between per-pr-push and nightly.
* Simplify some handling of "CIRCLECI" environment and add "GITHUB_ACTIONS" in the same places
* For jobs that we want to go in pr-jobs or nightly there are disabled "candidate" workflows with draft versions of those jobs.
* ARM jobs are disabled waiting on full GHA support.
* build-linux-java-static needed some special attention to work, due to GLIBC compatibility issues (see comments).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12163
Test Plan:
Nightly jobs can be seen passing between these two links:
https://github.com/facebook/rocksdb/actions/runs/7266835435/job/19799390061?pr=12163https://github.com/facebook/rocksdb/actions/runs/7269697823/job/19807724471?pr=12163
And per-PR jobs of course passing on this PR.
Reviewed By: hx235
Differential Revision: D52335810
Pulled By: pdillinger
fbshipit-source-id: bbb95196f33eabad8cddf3c6b52f4413c80e034d
Summary:
I landed https://github.com/facebook/rocksdb/issues/12159 which had the below compiler error when using `-DROCKSDB_NAMESPACE`, which broke the CircleCI "build-linux-static_lib-alt_namespace-status_checked" job:
```
tools/ldb_cmd_test.cc:1213:21: error: 'rocksdb' does not name a type
1213 | int Compare(const rocksdb::Slice& a, const rocksdb::Slice& b) const override {
| ^~~~~~~
tools/ldb_cmd_test.cc:1213:35: error: expected unqualified-id before '&' token
1213 | int Compare(const rocksdb::Slice& a, const rocksdb::Slice& b) const override {
| ^
tools/ldb_cmd_test.cc:1213:35: error: expected ')' before '&' token
1213 | int Compare(const rocksdb::Slice& a, const rocksdb::Slice& b) const override {
| ~ ^
| )
tools/ldb_cmd_test.cc:1213:35: error: expected ';' at end of member declaration
1213 | int Compare(const rocksdb::Slice& a, const rocksdb::Slice& b) const override {
| ^
| ;
tools/ldb_cmd_test.cc:1213:37: error: 'a' does not name a type
1213 | int Compare(const rocksdb::Slice& a, const rocksdb::Slice& b) const override {
| ^
...
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12173
Test Plan:
```
$ make clean && make OPT="-DROCKSDB_NAMESPACE=alternative_rocksdb_ns" ldb_cmd_test -j56
```
Reviewed By: pdillinger
Differential Revision: D52373797
Pulled By: ajkr
fbshipit-source-id: 8597aaae65a5333831fef66d85072827c5fb1187
Summary:
According to this [Q&A](https://github.com/facebook/rocksdb/wiki/RocksDB-FAQ#:~:text=Q%3A%20If%20I%20use%20non%2Ddefault%20comparators%20or%20merge%20operators%2C%20can%20I%20still%20use%20ldb%20tool%3F), user should be able to use LDB with passing a customized comparator into the option.
In the process of opening DB in order to perform ldb commands, there is a exception saying comparator not match even if a option with customized comparator is provided. After initializing the column family to open DB, the `LDBCommand::OverrideBaseCFOptions` method does not update the comparator inside column family descriptor using the passed in options. This can cause a mismatch while doing version edit, and in function `ToggleUDT CompareComparator` it will failed and return a exception saying comparator not match.
Propose fix by updating the column family descriptor's option using the user passed in option. Also a test case is provided to illustrate the steps.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12159
Reviewed By: hx235
Differential Revision: D52267367
Pulled By: ajkr
fbshipit-source-id: c240f93f440e02cb485893de058a46c6dbf9654b
Summary:
**Context/Summary:**
Continued from https://github.com/facebook/rocksdb/pull/12127, we can randomly reduce the # max key to coerce more operations on the same key. My experimental run shows it surfaced more issue than just https://github.com/facebook/rocksdb/pull/12127.
I also randomly reduce the related parameters, write buffer size and target file base, to adapt to randomly lower number of # max key. This creates 4 situations of testing, 3 of which are new:
1. **high** # max key with **high** write buffer size and target file base (existing)
2. **high** # max key with **low** write buffer size and target file base (new, will go through some rehearsal testing to ensure we don't run out of space with many files)
3. **low** # max key with **high** write buffer size and target file base (new, keys will stay in memory longer)
4. **low** # max key with **low** write buffer size and target file base (new, experimental runs show it surfaced even more issues)
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12148
Test Plan:
- [Ongoing] Rehearsal stress test
- Monitor production stress test
Reviewed By: jaykorean
Differential Revision: D52174980
Pulled By: hx235
fbshipit-source-id: bd5e11280826819ca9314c69bbbf05d481c6d105
Summary:
HyperClockCache is intended to mitigate performance problems under stress conditions (as well as optimizing average-case parallel performance). In LRUCache, the biggest such problem is lock contention when one or a small number of cache entries becomes particularly hot. Regardless of cache sharding, accesses to any particular cache entry are linearized against a single mutex, which is held while each access updates the LRU list. All HCC variants are fully lock/wait-free for accessing blocks already in the cache, which fully mitigates this contention problem.
However, HCC (and CLOCK in general) can exhibit extremely degraded performance under a different stress condition: when no (or almost no) entries in a cache shard are evictable (they are pinned). Unlike LRU which can find any evictable entries immediately (at the cost of more coordination / synchronization on each access), CLOCK has to search for evictable entries. Under the right conditions (almost exclusively MB-scale caches not GB-scale), the CPU cost of each cache miss could fall off a cliff and bog down the whole system.
To effectively mitigate this problem (IMHO), I'm introducing a new default behavior and tuning parameter for HCC, `eviction_effort_cap`. See the comments on the new config parameter in the public API.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12141
Test Plan:
unit test included
## Performance test
We can use cache_bench to validate no regression (CPU and memory) in normal operation, and to measure change in behavior when cache is almost entirely pinned. (TODO: I'm not sure why I had to get the pinned ratio parameter well over 1.0 to see truly bad performance, but the behavior is there.) Build with `make DEBUG_LEVEL=0 USE_CLANG=1 PORTABLE=0 cache_bench`. We also set MALLOC_CONF="narenas:1" for all these runs to essentially remove jemalloc variances from the results, so that the max RSS given by /usr/bin/time is essentially ideal (assuming the allocator minimizes fragmentation and other memory overheads well). Base command reproducing bad behavior:
```
./cache_bench -cache_type=auto_hyper_clock_cache -threads=12 -histograms=0 -pinned_ratio=1.7
```
```
Before, LRU (alternate baseline not exhibiting bad behavior):
Rough parallel ops/sec = 2290997
1088060 maxresident
Before, AutoHCC (bad behavior):
Rough parallel ops/sec = 141011 <- Yes, more than 10x slower
1083932 maxresident
```
Now let us sample a range of values in the solution space:
```
After, AutoHCC, eviction_effort_cap = 1:
Rough parallel ops/sec = 3212586
2402216 maxresident
After, AutoHCC, eviction_effort_cap = 10:
Rough parallel ops/sec = 2371639
1248884 maxresident
After, AutoHCC, eviction_effort_cap = 30:
Rough parallel ops/sec = 1981092
1131596 maxresident
After, AutoHCC, eviction_effort_cap = 100:
Rough parallel ops/sec = 1446188
1090976 maxresident
After, AutoHCC, eviction_effort_cap = 1000:
Rough parallel ops/sec = 549568
1084064 maxresident
```
I looks like `cap=30` is a sweet spot balancing acceptable CPU and memory overheads, so is chosen as the default.
```
Change to -pinned_ratio=0.85
Before, LRU:
Rough parallel ops/sec = 2108373
1078232 maxresident
Before, AutoHCC, averaged over ~20 runs:
Rough parallel ops/sec = 2164910
1077312 maxresident
After, AutoHCC, eviction_effort_cap = 30, averaged over ~20 runs:
Rough parallel ops/sec = 2145542
1077216 maxresident
```
The slight CPU improvement above is consistent with the cap, with no measurable memory overhead under moderate stress.
```
Change to -pinned_ratio=0.25 (low stress)
Before, AutoHCC, averaged over ~20 runs:
Rough parallel ops/sec = 2221149
1076540 maxresident
After, AutoHCC, eviction_effort_cap = 30, averaged over ~20 runs:
Rough parallel ops/sec = 2224521
1076664 maxresident
```
No measurable difference under normal circumstances.
Some tests repeated with FixedHCC, with similar results.
Reviewed By: anand1976
Differential Revision: D52174755
Pulled By: pdillinger
fbshipit-source-id: d278108031b1220c1fa4c89c5a9d34b7cf4ef1b8
Summary:
`Delayed` is set true in two cases. One is when `delay` is specified. Other one is in the `while` loop - cd21e4e69d/db/db_impl/db_impl_write.cc (L1876)
However start_time is not initialized in second case, resulting in time_delayed = immutable_db_options_.clock->NowMicros() - 0(start_time);
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12147
Test Plan: Existing CircleCI
Reviewed By: cbi42
Differential Revision: D52173481
Pulled By: akankshamahajan15
fbshipit-source-id: fb9183b24c191d287a1d715346467bee66190f98
Summary:
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12143https://github.com/facebook/rocksdb/pull/11982 changed `WriteBatchWithIndex::MultiGetFromBatchDB` to preallocate space in the `autovector`s `key_contexts` and `merges` in order to prevent any reallocations, both as an optimization and in order to prevent pointers into the container from being invalidated during subsequent insertions. On second thought, this preallocation can actually be a pessimization in cases when only a small subset of keys require querying the underlying database. To prevent any memory regressions, the PR reverts this preallocation. In addition, it makes some small code hygiene improvements like incorporating the `PinnableWideColumns` object into `MergeTuple`.
Reviewed By: jaykorean
Differential Revision: D52136513
fbshipit-source-id: 21aa835084433feab27b501d9d1fc5434acea609
Summary:
Example:
```
cache/clock_cache.cc:56:7: error: fallthrough annotation in unreachable code [-Werror,-Wimplicit-fallthrough]
FALLTHROUGH_INTENDED;
^
./port/lang.h:10:30: note: expanded from macro 'FALLTHROUGH_INTENDED'
^
```
In clang < 14, this is annoyingly generated from -Wimplicit-fallthrough, but was changed to -Wunreachable-code-fallthrough (implied by -Wunreachable-code) in clang 14. See https://reviews.llvm.org/D107933 for how this nuisance pattern generated false positives similar to ours in the Linux kernel.
Just to underscore the ridiculousness of this warning, here an error is reported on the annotation, not the call to do_something(), depending on the constexpr value (https://godbolt.org/z/EvxqdPTdr):
```
#include <atomic>
void do_something();
void test(int v) {
switch (v) {
case 1:
if constexpr (std::atomic<long>::is_always_lock_free) {
return;
} else {
do_something();
[[fallthrough]];
}
case 2:
return;
}
}
```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12144
Test Plan: Added the warning to our Makefile for USE_CLANG, which reproduced the warning-as-error as shown above, but is now fixed.
Reviewed By: jaykorean
Differential Revision: D52139615
Pulled By: pdillinger
fbshipit-source-id: ba967ae700c0916d1a478bc465cf917633e337d9
Summary:
RocksDB self throttles per-DB compaction parallelism until it detects compaction pressure. The pressure detection based on pending compaction bytes was only comparing against the slowdown trigger (`soft_pending_compaction_bytes_limit`). Online services tend to set that extremely high to avoid stalling at all costs. Perhaps they should have set it to zero, but we never documented that zero disables stalling so I have been telling everyone to increase it for years.
This PR adds pressure detection based on pending compaction bytes relative to the size of bottommost data. The size of bottommost data should be fairly stable and proportional to the logical data size
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12130
Reviewed By: hx235
Differential Revision: D52000746
Pulled By: ajkr
fbshipit-source-id: 7e1fd170901a74c2d4a69266285e3edf6e7631c7
Summary:
Sanitize the `secondary_cache` field in the `cache_opts` option of `TieredCacheOptions` to `nullptr` if set by the user. The nvm secondary cache should be directly set in `TieredCacheOptions`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12137
Reviewed By: akankshamahajan15
Differential Revision: D52063817
Pulled By: anand1976
fbshipit-source-id: 255116c665a9b908c8f44109a2d331d4b73e7591
Summary:
This PR adds initial stress testing for the user-defined timestamps in memtable only feature. Each flavor of the `*_ts` crash test get a 1 in 3 chance to run with timestamps not persisted, this setting is initialized once and kept consistent across the following re-runs.
This initial stress test included these things besides disabling incompatible feature combinations to make the test run more stably:
1) It currently only run test methods that validates db state with expected state. Not the ones that validate db state by comparing result from one API to another API. Such as `TestMultiGet` (compared with `Get`), similarly `TestMultiGetEntity`, `TestIterate` (compare src iterator to a control iterator). Due to timestamps being removed, results from one API to another API is not directly comparable as it is now. More test logic to handle that need to be added, will do that in a follow up.
2) Even when comparing db state to expected state, sometimes the db can receive `InvalidArgument` too due to timestamps getting flushed and removed. Added some logic to handle that.
3) When timestamps are not persisted, we don't try to read with older timestamp. Since that's making it easier to get `InvalidArgument`. And this capability is not yet needed by our customer so it's disabled for now.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12124
Test Plan: running multiple flavor of this test on continuous run for sometime before checkin
Reviewed By: ltamasi
Differential Revision: D51916267
Pulled By: jowlyzhang
fbshipit-source-id: 3f3eb5f9618d05d296062820e0ef5cb8edc7c2b2
Summary:
There is a bug in the `TieredSecondaryCache` that can result in a false negative. This can happen when a MultiGet does a cache lookup that gets a hit in the `TieredSecondaryCache` local nvm cache tier, and the result is available before MultiGet calls `WaitAll` (i.e the nvm cache `SecondaryCacheResultHandle` `IsReady` returns true).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12134
Test Plan: Add a new unit test in tiered_secondary_cache_test
Reviewed By: akankshamahajan15
Differential Revision: D52023309
Pulled By: anand1976
fbshipit-source-id: e5ae681226a0f12753fecb2f6acc7e5f254ae72b
Summary:
As part of building another feature, I wanted this:
* Custom implementations of `TablePropertiesCollectorFactory` may now return a `nullptr` collector to decline processing a file, reducing callback overheads in such cases.
* Polished, clarified some related API comments.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12129
Test Plan: unit test added
Reviewed By: ltamasi
Differential Revision: D51966667
Pulled By: pdillinger
fbshipit-source-id: 2991c08fe6ce3a8c9f14c68f1495f5a17bca2770
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
Summary:
`-Wextra-semi` or `-Wextra-semi-stmt`
If the code compiles, this is safe to land.
Reviewed By: palmje
Differential Revision: D51995065
fbshipit-source-id: 9b55a0d8abd0927b76376cb7751bf0fcab10518c
Summary:
Fixes https://github.com/facebook/rocksdb/issues/12061.
We were double counting the `BYTES_WRITTEN` ticker when doing writes with transactions. During transactions, after writing, a client can call `Prepare()`, which writes the values to WAL but not to the Memtable. After that, they can call `Commit()`, which writes a commit marker to the WAL and the values to Memtable.
The cause of this bug is previously during writes, we didn't take into account `writer->ShouldWriteToMemtable()` before adding to `total_byte_size`, so it is still added to during the `Prepare()` phase even though we're not writing to the Memtable, which was why we saw the value to be double of what's written to WAL.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12111
Test Plan: Added a test in `db/db_statistics_test.cc` that tests writes with and without transactions, by comparing the values of `BYTES_WRITTEN` and `WAL_FILE_BYTES` after doing writes.
Reviewed By: jaykorean
Differential Revision: D51954327
Pulled By: jowlyzhang
fbshipit-source-id: 57a0986a14e5b94eb5188715d819212529110d2c
Summary:
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12128
The patch turns the `Timer` Meyers singleton in `PeriodicTaskScheduler::Default()` into one of the leaky variety in order to prevent static destruction order issues.
Reviewed By: akankshamahajan15
Differential Revision: D51963950
fbshipit-source-id: 0fc34113ad03c51fdc83bdb8c2cfb6c9f6913948
Summary:
**Context/Summary:**
My experimental stress runs with more frequent "xxx_one_in" surfaced a couple interesting bugs/issues with RocksDB or crash test framework in the past. We now consider changing the default value so they are run more frequently in production testing environment.
Increase frequency by 2 orders of magnitude for most parameters, except for error-prone features e.g, manual compaction and file ingestion (increased by 3 orders) and expensive features e.g, checksum verification (increased by 1 order)
Pull Request resolved: https://github.com/facebook/rocksdb/pull/12127
Test Plan: Monitor CI to see if it did surface more interesting bugs/issues. If not, we may consider intensify even more.
Reviewed By: pdillinger
Differential Revision: D51954235
Pulled By: hx235
fbshipit-source-id: 92046cb7c52a37212f19ab7965b40f77b90b08b1
