Summary:
Optionally issue DeleteRange in `*whilewriting` benchmarks. This happens in `BGWriter` and uses similar logic as in `DoWrite` to issue DeleteRange operations. I added this when I was benchmarking https://github.com/facebook/rocksdb/issues/10547, but this should be an independent PR.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10552
Test Plan: ran some benchmarks with various delete range options, e.g. `./db_bench --benchmarks=readwhilewriting --writes_per_range_tombstone=100 --writes=200000 --reads=1000000 --disable_auto_compactions --max_num_range_tombstones=10000`
Reviewed By: ajkr
Differential Revision: D38927020
Pulled By: cbi42
fbshipit-source-id: 31ee20cb8127f7173f0816ea0cc2a204ec02aad6
Summary:
This PR exploits parallelism in MultiGet across levels. It applies only to the coroutine version of MultiGet. Previously, MultiGet file reads from SST files in the same level were parallelized. With this PR, MultiGet batches with keys distributed across multiple levels are read in parallel. This is accomplished by splitting the keys not present in a level (determined by bloom filtering) into a separate batch, and processing the new batch in parallel with the original batch.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10535
Test Plan:
1. Ensure existing MultiGet unit tests pass, updating them as necessary
2. New unit tests - TODO
3. Run stress test - TODO
No noticeable regression (<1%) without async IO -
Without PR: `multireadrandom : 7.261 micros/op 1101724 ops/sec 60.007 seconds 66110936 operations; 571.6 MB/s (8168992 of 8168992 found)`
With PR: `multireadrandom : 7.305 micros/op 1095167 ops/sec 60.007 seconds 65717936 operations; 568.2 MB/s (8271992 of 8271992 found)`
For a fully cached DB, but with async IO option on, no regression observed (<1%) -
Without PR: `multireadrandom : 5.201 micros/op 1538027 ops/sec 60.005 seconds 92288936 operations; 797.9 MB/s (11540992 of 11540992 found) `
With PR: `multireadrandom : 5.249 micros/op 1524097 ops/sec 60.005 seconds 91452936 operations; 790.7 MB/s (11649992 of 11649992 found) `
Reviewed By: akankshamahajan15
Differential Revision: D38774009
Pulled By: anand1976
fbshipit-source-id: c955e259749f1c091590ade73105b3ee46cd0007
Summary:
RocksDB's `Cache` abstraction currently supports two priority levels for items: high (used for frequently accessed/highly valuable SST metablocks like index/filter blocks) and low (used for SST data blocks). Blobs are typically lower-value targets for caching than data blocks, since 1) with BlobDB, data blocks containing blob references conceptually form an index structure which has to be consulted before we can read the blob value, and 2) cached blobs represent only a single key-value, while cached data blocks generally contain multiple KVs. Since we would like to make it possible to use the same backing cache for the block cache and the blob cache, it would make sense to add a new, lower-than-low cache priority level (bottom level) for blobs so data blocks are prioritized over them.
This task is a part of https://github.com/facebook/rocksdb/issues/10156
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10461
Reviewed By: siying
Differential Revision: D38672823
Pulled By: ltamasi
fbshipit-source-id: 90cf7362036563d79891f47be2cc24b827482743
Summary:
Change tiered compaction feature from `bottommost_temperture` to
`last_level_temperture`. The old option is kept for migration purpose only,
which is behaving the same as `last_level_temperture` and it will be removed in
the next release.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10471
Test Plan: CI
Reviewed By: siying
Differential Revision: D38450621
Pulled By: jay-zhuang
fbshipit-source-id: cc1cdf8bad409376fec0152abc0a64fb72a91527
Summary:
- Right now each read fragments the memtable range tombstones https://github.com/facebook/rocksdb/issues/4808. This PR explores the idea of fragmenting memtable range tombstones in the write path and reads can just read this cached fragmented tombstone without any fragmenting cost. This PR only does the caching for immutable memtable, and does so right before a memtable is added to an immutable memtable list. The fragmentation is done without holding mutex to minimize its performance impact.
- db_bench is updated to print out the number of range deletions executed if there is any.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10380
Test Plan:
- CI, added asserts in various places to check whether a fragmented range tombstone list should have been constructed.
- Benchmark: as this PR only optimizes immutable memtable path, the number of writes in the benchmark is chosen such an immutable memtable is created and range tombstones are in that memtable.
```
single thread:
./db_bench --benchmarks=fillrandom,readrandom --writes_per_range_tombstone=1 --max_write_buffer_number=100 --min_write_buffer_number_to_merge=100 --writes=500000 --reads=100000 --max_num_range_tombstones=100
multi_thread
./db_bench --benchmarks=fillrandom,readrandom --writes_per_range_tombstone=1 --max_write_buffer_number=100 --min_write_buffer_number_to_merge=100 --writes=15000 --reads=20000 --threads=32 --max_num_range_tombstones=100
```
Commit 99cdf16464 is included in benchmark result. It was an earlier attempt where tombstones are fragmented for each write operation. Reader threads share it using a shared_ptr which would slow down multi-thread read performance as seen in benchmark results.
Results are averaged over 5 runs.
Single thread result:
| Max # tombstones | main fillrandom micros/op | 99cdf16464 | Post PR | main readrandom micros/op | 99cdf16464 | Post PR |
| ------------- | ------------- |------------- |------------- |------------- |------------- |------------- |
| 0 |6.68 |6.57 |6.72 |4.72 |4.79 |4.54 |
| 1 |6.67 |6.58 |6.62 |5.41 |4.74 |4.72 |
| 10 |6.59 |6.5 |6.56 |7.83 |4.69 |4.59 |
| 100 |6.62 |6.75 |6.58 |29.57 |5.04 |5.09 |
| 1000 |6.54 |6.82 |6.61 |320.33 |5.22 |5.21 |
32-thread result: note that "Max # tombstones" is per thread.
| Max # tombstones | main fillrandom micros/op | 99cdf16464 | Post PR | main readrandom micros/op | 99cdf16464 | Post PR |
| ------------- | ------------- |------------- |------------- |------------- |------------- |------------- |
| 0 |234.52 |260.25 |239.42 |5.06 |5.38 |5.09 |
| 1 |236.46 |262.0 |231.1 |19.57 |22.14 |5.45 |
| 10 |236.95 |263.84 |251.49 |151.73 |21.61 |5.73 |
| 100 |268.16 |296.8 |280.13 |2308.52 |22.27 |6.57 |
Reviewed By: ajkr
Differential Revision: D37916564
Pulled By: cbi42
fbshipit-source-id: 05d6d2e16df26c374c57ddcca13a5bfe9d5b731e
Summary:
This PR avoids allocations and copies for the result of `GetMergeOperands()` when the average operand size is at least 256 bytes and the total operands size is at least 32KB. The `GetMergeOperands()` already included `PinnableSlice` but was calling `PinSelf()` (i.e., allocating and copying) for each operand. When this optimization takes effect, we instead call `PinSlice()` to skip that allocation and copy. Resources are pinned in order for the `PinnableSlice` to point to valid memory even after `GetMergeOperands()` returns.
The pinned resources include a referenced `SuperVersion`, a `MergingContext`, and a `PinnedIteratorsManager`. They are bundled into a `GetMergeOperandsState`. We use `SharedCleanablePtr` to share that bundle among all `PinnableSlice`s populated by `GetMergeOperands()`. That way, the last `PinnableSlice` to be `Reset()` will cleanup the bundle, including unreferencing the `SuperVersion`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10458
Test Plan:
- new DB level test
- measured benefit/regression in a number of memtable scenarios
Setup command:
```
$ ./db_bench -benchmarks=mergerandom -merge_operator=StringAppendOperator -num=$num -writes=16384 -key_size=16 -value_size=$value_sz -compression_type=none -write_buffer_size=1048576000
```
Benchmark command:
```
./db_bench -threads=$threads -use_existing_db=true -avoid_flush_during_recovery=true -write_buffer_size=1048576000 -benchmarks=readrandomoperands -merge_operator=StringAppendOperator -num=$num -duration=10
```
Worst regression is when a key has many tiny operands:
- Parameters: num=1 (implying 16384 operands per key), value_sz=8, threads=1
- `GetMergeOperands()` latency increases 682 micros -> 800 micros (+17%)
The regression disappears into the noise (<1% difference) if we remove the `Reset()` loop and the size counting loop. The former is arguably needed regardless of this PR as the convention in `Get()` and `MultiGet()` is to `Reset()` the input `PinnableSlice`s at the start. The latter could be optimized to count the size as we accumulate operands rather than after the fact.
Best improvement is when a key has large operands and high concurrency:
- Parameters: num=4 (implying 4096 operands per key), value_sz=2KB, threads=32
- `GetMergeOperands()` latency decreases 11492 micros -> 437 micros (-96%).
Reviewed By: cbi42
Differential Revision: D38336578
Pulled By: ajkr
fbshipit-source-id: 48146d127e04cb7f2d4d2939a2b9dff3aba18258
Summary:
RocksDB's `Cache` abstraction currently supports two priority levels for items: high (used for frequently accessed/highly valuable SST metablocks like index/filter blocks) and low (used for SST data blocks). Blobs are typically lower-value targets for caching than data blocks, since 1) with BlobDB, data blocks containing blob references conceptually form an index structure which has to be consulted before we can read the blob value, and 2) cached blobs represent only a single key-value, while cached data blocks generally contain multiple KVs. Since we would like to make it possible to use the same backing cache for the block cache and the blob cache, it would make sense to add a new, lower-than-low cache priority level (bottom level) for blobs so data blocks are prioritized over them.
This task is a part of https://github.com/facebook/rocksdb/issues/10156
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10309
Reviewed By: ltamasi
Differential Revision: D38211655
Pulled By: gangliao
fbshipit-source-id: 65ef33337db4d85277cc6f9782d67c421ad71dd5
Summary:
If user runs `db_bench` with `-perf_level=2` or higher, db_bench should
print perf context after each of all benchmarks.
Or make `-perf_level` a per-benchmark switch.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10396
Test Plan: ./db_bench -benchmarks=fillseq,readseq -perf_level=2
Reviewed By: ajkr
Differential Revision: D38016324
Pulled By: riversand963
fbshipit-source-id: d83ea4abc34d40ffea394ca6abf0814bc5c0a2e0
Summary:
To help service owners to manage their memory budget effectively, we have been working towards counting all major memory users inside RocksDB towards a single global memory limit (see e.g. https://github.com/facebook/rocksdb/wiki/Write-Buffer-Manager#cost-memory-used-in-memtable-to-block-cache). The global limit is specified by the capacity of the block-based table's block cache, and is technically implemented by inserting dummy entries ("reservations") into the block cache. The goal of this task is to support charging the memory usage of the new blob cache against this global memory limit when the backing cache of the blob cache and the block cache are different.
This PR is a part of https://github.com/facebook/rocksdb/issues/10156
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10321
Reviewed By: ltamasi
Differential Revision: D37913590
Pulled By: gangliao
fbshipit-source-id: eaacf23907f82dc7d18964a3f24d7039a2937a72
Summary:
Many workloads have temporal locality, where recently written items are read back in a short period of time. When using remote file systems, this is inefficient since it involves network traffic and higher latencies. Because of this, we would like to support prepopulating the blob cache during flush.
This task is a part of https://github.com/facebook/rocksdb/issues/10156
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10298
Reviewed By: ltamasi
Differential Revision: D37908743
Pulled By: gangliao
fbshipit-source-id: 9feaed234bc719d38f0c02975c1ad19fa4bb37d1
Summary:
ClockCache is still in experimental stage, and currently fails some pre-release fbcode tests. See https://www.internalfb.com/diff/D37772011. API calls to construct ClockCache are done via the function NewClockCache. For now, NewClockCache calls will return an LRUCache (with appropriate arguments), which is stable.
The idea that NewClockCache returns nullptr was also floated, but this would be interpreted as unsupported cache, and a default LRUCache would be constructed instead, potentially causing a performance regression that is harder to identify.
A new version of the NewClockCache function was created for our internal tests.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10351
Test Plan: ``make -j24 check`` and re-run the pre-release tests.
Reviewed By: pdillinger
Differential Revision: D37802685
Pulled By: guidotag
fbshipit-source-id: 0a8d10612ff21e576f7360cb13e20bc36e244972
Summary:
This is the initial step in the development of a lock-free clock cache. This PR includes the base hash table design (which we mostly ported over from FastLRUCache) and the clock eviction algorithm. Importantly, it's still _not_ lock-free---all operations use a shard lock. Besides the locking, there are other features left as future work:
- Remove keys from the handles. Instead, use 128-bit bijective hashes of them for handle comparisons, probing (we need two 32-bit hashes of the key for double hashing) and sharding (we need one 6-bit hash).
- Remove the clock_usage_ field, which is updated on every lookup. Even if it were atomically updated, it could cause memory invalidations across cores.
- Middle insertions into the clock list.
- A test that exercises the clock eviction policy.
- Update the Java API of ClockCache and Java calls to C++.
Along the way, we improved the code and comments quality of FastLRUCache. These changes are relatively minor.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10273
Test Plan: ``make -j24 check``
Reviewed By: pdillinger
Differential Revision: D37522461
Pulled By: guidotag
fbshipit-source-id: 3d70b737dbb70dcf662f00cef8c609750f083943
Summary:
In order to facilitate correctness and performance testing, we would like to add the new blob cache to our stress test tool `db_stress` and our continuously running crash test script `db_crashtest.py`, as well as our synthetic benchmarking tool `db_bench` and the BlobDB performance testing script `run_blob_bench.sh`.
As part of this task, we would also like to utilize these benchmarking tools to get some initial performance numbers about the effectiveness of caching blobs.
This PR is a part of https://github.com/facebook/rocksdb/issues/10156
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10202
Reviewed By: ltamasi
Differential Revision: D37325739
Pulled By: gangliao
fbshipit-source-id: deb65d0d414502270dd4c324d987fd5469869fa8
Summary:
**Context/Summary:**
https://github.com/facebook/rocksdb/pull/9424 added rate-limiting support for user reads, which does not include batched `MultiGet()`s that call `RandomAccessFileReader::MultiRead()`. The reason is that it's harder (compared with RandomAccessFileReader::Read()) to implement the ideal rate-limiting where we first call `RateLimiter::RequestToken()` for allowed bytes to multi-read and then consume those bytes by satisfying as many requests in `MultiRead()` as possible. For example, it can be tricky to decide whether we want partially fulfilled requests within one `MultiRead()` or not.
However, due to a recent urgent user request, we decide to pursue an elementary (but a conditionally ineffective) solution where we accumulate enough rate limiter requests toward the total bytes needed by one `MultiRead()` before doing that `MultiRead()`. This is not ideal when the total bytes are huge as we will actually consume a huge bandwidth from rate-limiter causing a burst on disk. This is not what we ultimately want with rate limiter. Therefore a follow-up work is noted through TODO comments.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10159
Test Plan:
- Modified existing unit test `DBRateLimiterOnReadTest/DBRateLimiterOnReadTest.NewMultiGet`
- Traced the underlying system calls `io_uring_enter` and verified they are 10 seconds apart from each other correctly under the setting of `strace -ftt -e trace=io_uring_enter ./db_bench -benchmarks=multireadrandom -db=/dev/shm/testdb2 -readonly -num=50 -threads=1 -multiread_batched=1 -batch_size=100 -duration=10 -rate_limiter_bytes_per_sec=200 -rate_limiter_refill_period_us=1000000 -rate_limit_bg_reads=1 -disable_auto_compactions=1 -rate_limit_user_ops=1` where each `MultiRead()` read about 2000 bytes (inspected by debugger) and the rate limiter grants 200 bytes per seconds.
- Stress test:
- Verified `./db_stress (-test_cf_consistency=1/test_batches_snapshots=1) -use_multiget=1 -cache_size=1048576 -rate_limiter_bytes_per_sec=10241024 -rate_limit_bg_reads=1 -rate_limit_user_ops=1` work
Reviewed By: ajkr, anand1976
Differential Revision: D37135172
Pulled By: hx235
fbshipit-source-id: 73b8e8f14761e5d4b77235dfe5d41f4eea968bcd
Summary:
In https://github.com/facebook/rocksdb/issues/9535, release 7.0, we hid the old block-based filter from being created using
the public API, because of its inefficiency. Although we normally maintain read compatibility
on old DBs forever, filters are not required for reading a DB, only for optimizing read
performance. Thus, it should be acceptable to remove this code and the substantial
maintenance burden it carries as useful features are developed and validated (such
as user timestamp).
This change completely removes the code for reading and writing the old block-based
filters, net removing about 1370 lines of code no longer needed. Options removed from
testing / benchmarking tools. The prior existence is only evident in a couple of places:
* `CacheEntryRole::kDeprecatedFilterBlock` - We can update this public API enum in
a major release to minimize source code incompatibilities.
* A warning is logged when an old table file is opened that used the old block-based
filter. This is provided as a courtesy, and would be a pain to unit test, so manual testing
should suffice. Unfortunately, sst_dump does not tell you whether a file uses
block-based filter, and the structure of the code makes it very difficult to fix.
* To detect that case, `kObsoleteFilterBlockPrefix` (renamed from `kFilterBlockPrefix`)
for metaindex is maintained (for now).
Other notes:
* In some cases where numbers are associated with filter configurations, we have had to
update the assigned numbers so that they all correspond to something that exists.
* Fixed potential stat counting bug by assuming `filter_checked = false` for cases
like `filter == nullptr` rather than assuming `filter_checked = true`
* Removed obsolete `block_offset` and `prefix_extractor` parameters from several
functions.
* Removed some unnecessary checks `if (!table_prefix_extractor() && !prefix_extractor)`
because the caller guarantees the prefix extractor exists and is compatible
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10184
Test Plan:
tests updated, manually test new warning in LOG using base version to
generate a DB
Reviewed By: riversand963
Differential Revision: D37212647
Pulled By: pdillinger
fbshipit-source-id: 06ee020d8de3b81260ffc36ad0c1202cbf463a80
Summary:
Fix existing usage of non-ASCII and add a check to prevent
future use. Added `-n` option to greps to provide line numbers.
Alternative to https://github.com/facebook/rocksdb/issues/10147
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10164
Test Plan:
used new checker to find & fix cases, manually check
db_bench output is preserved
Reviewed By: akankshamahajan15
Differential Revision: D37148792
Pulled By: pdillinger
fbshipit-source-id: 68c8b57e7ab829369540d532590bf756938855c7
Summary:
There is `Options::allow_data_in_errors` that controls whether RocksDB
is allowed to log data, e.g. key, value, etc in LOG files. It is false
by default. However, in db_bench and db_stress, it is often ok to log
data because there is no concern about privacy.
This PR allows db_stress and db_bench to set this option on the command
line, while it remains false by default. Furthermore, make
crash/recovery test driven by db_crashtest.py to opt-in.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10171
Test Plan: Stress test and db_bench
Reviewed By: hx235
Differential Revision: D37163787
Pulled By: riversand963
fbshipit-source-id: 0242f24d292ba15b6faf8ff903963b85d3e011f8
Summary:
We make the size of the per-shard hash table fixed. The base level of the hash table is now preallocated with the required capacity. The user must provide an estimate of the size of the values.
Notice that even though the base level becomes fixed, the chains are still dynamic. Overall, the shard capacity mechanisms haven't changed, so we don't need to test this.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10154
Test Plan: `make -j24 check`
Reviewed By: pdillinger
Differential Revision: D37124451
Pulled By: guidotag
fbshipit-source-id: cba6ac76052fe0ec60b8ff4211b3de7650e80d0c
Summary:
db_bench can now run with FastLRUCache.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10096
Test Plan:
- Temporarily add an ``assert(false)`` in the execution path that sets up the FastLRUCache. Run ``make -j24 db_bench``. Then test the appropriate code is used by running ``./db_bench -cache_type=fast_lru_cache`` and checking that the assert is called. Repeat for LRUCache.
- Verify that FastLRUCache (currently a clone of LRUCache) produces similar benchmark data than LRUCache, by comparing the outputs of ``./db_bench -benchmarks=fillseq,fillrandom,readseq,readrandom -cache_type=fast_lru_cache`` and ``./db_bench -benchmarks=fillseq,fillrandom,readseq,readrandom -cache_type=lru_cache``.
Reviewed By: gitbw95
Differential Revision: D36898774
Pulled By: guidotag
fbshipit-source-id: f9f6b6f6da124f88b21b3c8dee742fbb04eff773
Summary:
Currently, if blob files are enabled (i.e. `enable_blob_files` is true), large values are extracted both during flush/recovery (when SST files are written into level 0 of the LSM tree) and during compaction into any LSM tree level. For certain use cases that have a mix of short-lived and long-lived values, it might make sense to support extracting large values only during compactions whose output level is greater than or equal to a specified LSM tree level (e.g. compactions into L1/L2/... or above). This could reduce the space amplification caused by large values that are turned into garbage shortly after being written at the price of some write amplification incurred by long-lived values whose extraction to blob files is delayed.
In order to achieve this, we would like to do the following:
- Add a new configuration option `blob_file_starting_level` (default: 0) to `AdvancedColumnFamilyOptions` (and `MutableCFOptions` and extend the related logic)
- Instantiate `BlobFileBuilder` in `BuildTable` (used during flush and recovery, where the LSM tree level is L0) and `CompactionJob` iff `enable_blob_files` is set and the LSM tree level is `>= blob_file_starting_level`
- Add unit tests for the new functionality, and add the new option to our stress tests (`db_stress` and `db_crashtest.py` )
- Add the new option to our benchmarking tool `db_bench` and the BlobDB benchmark script `run_blob_bench.sh`
- Add the new option to the `ldb` tool (see https://github.com/facebook/rocksdb/wiki/Administration-and-Data-Access-Tool)
- Ideally extend the C and Java bindings with the new option
- Update the BlobDB wiki to document the new option.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10077
Reviewed By: ltamasi
Differential Revision: D36884156
Pulled By: gangliao
fbshipit-source-id: 942bab025f04633edca8564ed64791cb5e31627d
Summary:
Added rate limiter and read rate-limiting support to SequentialFileReader. I've updated call sites to SequentialFileReader::Read with appropriate IO priority (or left a TODO and specified IO_TOTAL for now).
The PR is separated into four commits: the first one added the rate-limiting support, but with some fixes in the unit test since the number of request bytes from rate limiter in SequentialFileReader are not accurate (there is overcharge at EOF). The second commit fixed this by allowing SequentialFileReader to check file size and determine how many bytes are left in the file to read. The third commit added benchmark related code. The fourth commit moved the logic of using file size to avoid overcharging the rate limiter into backup engine (the main user of SequentialFileReader).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9973
Test Plan:
- `make check`, backup_engine_test covers usage of SequentialFileReader with rate limiter.
- Run db_bench to check if rate limiting is throttling as expected: Verified that reads and writes are together throttled at 2MB/s, and at 0.2MB chunks that are 100ms apart.
- Set up: `./db_bench --benchmarks=fillrandom -db=/dev/shm/test_rocksdb`
- Benchmark:
```
strace -ttfe read,write ./db_bench --benchmarks=backup -db=/dev/shm/test_rocksdb --backup_rate_limit=2097152 --use_existing_db
strace -ttfe read,write ./db_bench --benchmarks=restore -db=/dev/shm/test_rocksdb --restore_rate_limit=2097152 --use_existing_db
```
- db bench on backup and restore to ensure no performance regression.
- backup (avg over 50 runs): pre-change: 1.90443e+06 micros/op; post-change: 1.8993e+06 micros/op (improve by 0.2%)
- restore (avg over 50 runs): pre-change: 1.79105e+06 micros/op; post-change: 1.78192e+06 micros/op (improve by 0.5%)
```
# Set up
./db_bench --benchmarks=fillrandom -db=/tmp/test_rocksdb -num=10000000
# benchmark
TEST_TMPDIR=/tmp/test_rocksdb
NUM_RUN=50
for ((j=0;j<$NUM_RUN;j++))
do
./db_bench -db=$TEST_TMPDIR -num=10000000 -benchmarks=backup -use_existing_db | egrep 'backup'
# Restore
#./db_bench -db=$TEST_TMPDIR -num=10000000 -benchmarks=restore -use_existing_db
done > rate_limit.txt && awk -v NUM_RUN=$NUM_RUN '{sum+=$3;sum_sqrt+=$3^2}END{print sum/NUM_RUN, sqrt(sum_sqrt/NUM_RUN-(sum/NUM_RUN)^2)}' rate_limit.txt >> rate_limit_2.txt
```
Reviewed By: hx235
Differential Revision: D36327418
Pulled By: cbi42
fbshipit-source-id: e75d4307cff815945482df5ba630c1e88d064691
Summary:
Essentially refactored the RangeMayExist implementation in
FullFilterBlockReader to FilterBlockReaderCommon so that it applies to
partitioned filters as well. (The function is not called for the
block-based filter case.) RangeMayExist is essentially a series of checks
around a possible PrefixMayExist, and I'm confident those checks should
be the same for partitioned as for full filters. (I think it's likely
that bugs remain in those checks, but this change is overall a simplifying
one.)
Added auto_prefix_mode support to db_bench
Other small fixes as well
Fixes https://github.com/facebook/rocksdb/issues/10003
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10012
Test Plan:
Expanded unit test that uses statistics to check for filter
optimization, fails without the production code changes here
Performance: populate two DBs with
```
TEST_TMPDIR=/dev/shm/rocksdb_nonpartitioned ./db_bench -benchmarks=fillrandom -num=10000000 -disable_wal=1 -write_buffer_size=30000000 -bloom_bits=16 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=0 -prefix_size=8
TEST_TMPDIR=/dev/shm/rocksdb_partitioned ./db_bench -benchmarks=fillrandom -num=10000000 -disable_wal=1 -write_buffer_size=30000000 -bloom_bits=16 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=0 -prefix_size=8 -partition_index_and_filters
```
Observe no measurable change in non-partitioned performance
```
TEST_TMPDIR=/dev/shm/rocksdb_nonpartitioned ./db_bench -benchmarks=seekrandom[-X1000] -num=10000000 -readonly -bloom_bits=16 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=0 -prefix_size=8 -auto_prefix_mode -cache_index_and_filter_blocks=1 -cache_size=1000000000 -duration 20
```
Before: seekrandom [AVG 15 runs] : 11798 (± 331) ops/sec
After: seekrandom [AVG 15 runs] : 11724 (± 315) ops/sec
Observe big improvement with partitioned (also supported by bloom use statistics)
```
TEST_TMPDIR=/dev/shm/rocksdb_partitioned ./db_bench -benchmarks=seekrandom[-X1000] -num=10000000 -readonly -bloom_bits=16 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=0 -prefix_size=8 -partition_index_and_filters -auto_prefix_mode -cache_index_and_filter_blocks=1 -cache_size=1000000000 -duration 20
```
Before: seekrandom [AVG 12 runs] : 2942 (± 57) ops/sec
After: seekrandom [AVG 12 runs] : 7489 (± 184) ops/sec
Reviewed By: siying
Differential Revision: D36469796
Pulled By: pdillinger
fbshipit-source-id: bcf1e2a68d347b32adb2b27384f945434e7a266d
Summary:
**Context:**
Previous PR https://github.com/facebook/rocksdb/pull/9748, https://github.com/facebook/rocksdb/pull/9073, https://github.com/facebook/rocksdb/pull/8428 added separate flag for each charged memory area. Such API design is not scalable as we charge more and more memory areas. Also, we foresee an opportunity to consolidate this feature with other cache usage related features such as `cache_index_and_filter_blocks` using `CacheEntryRole`.
Therefore we decided to consolidate all these flags with `CacheUsageOptions cache_usage_options` and this PR serves as the first step by consolidating memory-charging related flags.
**Summary:**
- Replaced old API reference with new ones, including making `kCompressionDictionaryBuildingBuffer` opt-out and added a unit test for that
- Added missing db bench/stress test for some memory charging features
- Renamed related test suite to indicate they are under the same theme of memory charging
- Refactored a commonly used mocked cache component in memory charging related tests to reduce code duplication
- Replaced the phrases "memory tracking" / "cache reservation" (other than CacheReservationManager-related ones) with "memory charging" for standard description of this feature.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9926
Test Plan:
- New unit test for opt-out `kCompressionDictionaryBuildingBuffer` `TEST_F(ChargeCompressionDictionaryBuildingBufferTest, Basic)`
- New unit test for option validation/sanitization `TEST_F(CacheUsageOptionsOverridesTest, SanitizeAndValidateOptions)`
- CI
- db bench (in case querying new options introduces regression) **+0.5% micros/op**: `TEST_TMPDIR=/dev/shm/testdb ./db_bench -benchmarks=fillseq -db=$TEST_TMPDIR -charge_compression_dictionary_building_buffer=1(remove this for comparison) -compression_max_dict_bytes=10000 -disable_auto_compactions=1 -write_buffer_size=100000 -num=4000000 | egrep 'fillseq'`
#-run | (pre-PR) avg micros/op | std micros/op | (post-PR) micros/op | std micros/op | change (%)
-- | -- | -- | -- | -- | --
10 | 3.9711 | 0.264408 | 3.9914 | 0.254563 | 0.5111933721
20 | 3.83905 | 0.0664488 | 3.8251 | 0.0695456 | **-0.3633711465**
40 | 3.86625 | 0.136669 | 3.8867 | 0.143765 | **0.5289363078**
- db_stress: `python3 tools/db_crashtest.py blackbox -charge_compression_dictionary_building_buffer=1 -charge_filter_construction=1 -charge_table_reader=1 -cache_size=1` killed as normal
Reviewed By: ajkr
Differential Revision: D36054712
Pulled By: hx235
fbshipit-source-id: d406e90f5e0c5ea4dbcb585a484ad9302d4302af
Summary:
ToString() is created as some platform doesn't support std::to_string(). However, we've already used std::to_string() by mistake for 16 months (in db/db_info_dumper.cc). This commit just remove ToString().
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9955
Test Plan: Watch CI tests
Reviewed By: riversand963
Differential Revision: D36176799
fbshipit-source-id: bdb6dcd0e3a3ab96a1ac810f5d0188f684064471
Summary:
Right now we still don't fully use std::numeric_limits but use a macro, mainly for supporting VS 2013. Right now we only support VS 2017 and up so it is not a problem. The code comment claims that MinGW still needs it. We don't have a CI running MinGW so it's hard to validate. since we now require C++17, it's hard to imagine MinGW would still build RocksDB but doesn't support std::numeric_limits<>.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9954
Test Plan: See CI Runs.
Reviewed By: riversand963
Differential Revision: D36173954
fbshipit-source-id: a35a73af17cdcae20e258cdef57fcf29a50b49e0
Summary:
This is inspired by debugging a regression test that runs for ~0.05 seconds and the short
running time makes it prone to variance. While db_bench ran for ~60 seconds, 59.95 seconds
was spent opening 128 databases (and doing recovery). So it was harder to notice that the
benchmark only ran for 0.05 seconds.
Normally I add output to the end of the line to make life easier for existing tools that parse it
but in this case the output near the end of the line has two optional parts and one of the optional
parts adds an extra newline.
This is for https://github.com/facebook/rocksdb/issues/9856
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9886
Test Plan:
./db_bench --benchmarks=overwrite,readrandom --num=1000000 --threads=4
old output:
DB path: [/tmp/rocksdbtest-2260/dbbench]
overwrite : 14.108 micros/op 283338 ops/sec; 31.3 MB/s
DB path: [/tmp/rocksdbtest-2260/dbbench]
readrandom : 7.994 micros/op 496788 ops/sec; 55.0 MB/s (1000000 of 1000000 found)
new output:
DB path: [/tmp/rocksdbtest-2260/dbbench]
overwrite : 14.117 micros/op 282862 ops/sec 14.141 seconds 4000000 operations; 31.3 MB/s
DB path: [/tmp/rocksdbtest-2260/dbbench]
readrandom : 8.649 micros/op 458475 ops/sec 8.725 seconds 4000000 operations; 49.8 MB/s (981548 of 1000000 found)
Reviewed By: ajkr
Differential Revision: D36102269
Pulled By: mdcallag
fbshipit-source-id: 5cd8a9e11f5cbe2a46809571afd83335b6b0caa0
Summary:
`InitializeOptionsGeneral()` was overwriting many options that were already configured by OPTIONS file, potentially with the flag default values. This PR changes that function to only overwrite options in limited scenarios, as described at the top of its definition. Block cache is still a violation.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9862
Test Plan: ran under various scenarios (multi-DB, single DB, OPTIONS file, flags) and verified options are set as expected
Reviewed By: jay-zhuang
Differential Revision: D35736960
Pulled By: ajkr
fbshipit-source-id: 75b77740af37e6f5741618f8a8f5685df2417d03
Summary:
There's an existing benchmark, "getmergeoperands", but it is unconventional in that it has multiple phases and hardcoded setup parameters.
This PR adds a different one, "readrandomoperands", that follows the pattern of other benchmarks of having a single phase and taking its configuration from existing flags.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9785
Test Plan:
```
$ ./db_bench -benchmarks=mergerandom -merge_operator=StringAppendOperator -write_buffer_size=1048576 -max_bytes_for_level_base=4194304 -target_file_size_base=1048576 -compression_type=none -disable_auto_compactions=true
$ ./db_bench -use_existing_db=true -benchmarks=readrandomoperands -merge_operator=StringAppendOperator -disable_auto_compactions=true -duration=10
...
readrandomoperands : 542.082 micros/op 1844 ops/sec; 0.2 MB/s (11980 of 18999 found)
```
Reviewed By: jay-zhuang
Differential Revision: D35290412
Pulled By: ajkr
fbshipit-source-id: fb367ca614b128cef844a75f0e5d9dd7c3328d85
Summary:
Fixes a bug introduced by me in https://github.com/facebook/rocksdb/pull/9733
That PR added a counter so that the per-thread seeds in ThreadState would
be unique even when --benchmarks had more than one test. But it incorrectly
used this counter as the value for ThreadState::tid as well.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9757
Test Plan:
Confirm that unexpectedly good QPS results on the regression tests return
to normal with this fix. I have confirmed that the QPS increase starts with
the PR 9733 diff.
Reviewed By: jay-zhuang
Differential Revision: D35149303
Pulled By: mdcallag
fbshipit-source-id: dee5cc36b7faaba6c3be6d6a253d3c2eaad72864
Summary:
This is for https://github.com/facebook/rocksdb/issues/9737
I have wasted more than a few hours running db_bench benchmarks where --seed was not set
and getting better than expected results because cache hit rates are great because
multiple invocations of db_bench used the same value for --seed or did not set it,
and then all used 0. The result is that all see the same sequence of keys.
Others have done the same. The problem is worse in that it is easy to miss and the result is a benchmark with results that are misleading.
A good way to avoid this is to set it to the equivalent of gettimeofday() when either
--seed is not set or it is set to 0 (the default).
With this change the actual seed is printed when it was 0 at process start:
Set seed to 1647992570365606 because --seed was 0
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9740
Test Plan:
Perf results:
./db_bench --benchmarks=fillseq,readrandom --num=1000000 --reads=4000000
readrandom : 6.469 micros/op 154583 ops/sec; 17.1 MB/s (4000000 of 4000000 found)
./db_bench --benchmarks=fillseq,readrandom --num=1000000 --reads=4000000 --seed=0
readrandom : 6.565 micros/op 152321 ops/sec; 16.9 MB/s (4000000 of 4000000 found)
./db_bench --benchmarks=fillseq,readrandom --num=1000000 --reads=4000000 --seed=1
readrandom : 6.461 micros/op 154777 ops/sec; 17.1 MB/s (4000000 of 4000000 found)
./db_bench --benchmarks=fillseq,readrandom --num=1000000 --reads=4000000 --seed=2
readrandom : 6.525 micros/op 153244 ops/sec; 17.0 MB/s (4000000 of 4000000 found)
Reviewed By: jay-zhuang
Differential Revision: D35145361
Pulled By: mdcallag
fbshipit-source-id: 2b35b153ccec46b27d7c9405997523555fc51267
Summary:
This adds the --slow_usecs option with a default value of 1M. Operations that
take this much time have a message printed when --histogram=1, --stats_interval=0
and --stats_interval_seconds=0. The current code hardwired this to 20,000 usecs
and for some stress tests that reduced throughput by 20% or more.
This is for https://github.com/facebook/rocksdb/issues/9620
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9732
Test Plan:
./db_bench --benchmarks=fillrandom,readrandom --compression_type=lz4 --slow_usecs=100 --histogram=1
./db_bench --benchmarks=fillrandom,readrandom --compression_type=lz4 --slow_usecs=100000 --histogram=1
Reviewed By: jay-zhuang
Differential Revision: D35121522
Pulled By: mdcallag
fbshipit-source-id: daf27f937efd748980545d6395db332712fc078b
Summary:
db_bench quietly parses and ignores bad values for --compaction_fadvice and --value_size_distribution_type
I prefer that it fail for them as it does for bad option values in most other cases. Otherwise a benchmark
result will be provided for the wrong configuration and the result will be misleading.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9741
Test Plan:
These now fail:
./db_bench --compaction_fadvice=noney
Unknown compaction fadvice:noney
./db_bench --value_size_distribution_type=norma
Cannot parse distribution type 'norma'
While correct values continue to work:
./db_bench --value_size_distribution_type=normal
Initializing RocksDB Options from the specified file
Initializing RocksDB Options from command-line flags
./db_bench --compaction_fadvice=none
Initializing RocksDB Options from the specified file
Initializing RocksDB Options from command-line flags
Reviewed By: siying
Differential Revision: D35115973
Pulled By: mdcallag
fbshipit-source-id: c2b10de5c2d1ea7c7539e676f5bd556351f5d370
Summary:
When --benchmarks has more than one test then the threads in one benchmark
will use the same set of seeds as the threads in the previous benchmark.
This diff fixe that.
This fixes https://github.com/facebook/rocksdb/issues/9632
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9733
Test Plan:
For this command line the block cache is 8GB, so it caches at most 1024 8KB blocks. Note that without
this diff the second run of readrandom has a much better response time because seed reuse means the
second run reads the same 1000 blocks as the first run and they are cached at that point. But with
this diff that does not happen.
./db_bench --benchmarks=fillseq,flush,compact0,waitforcompaction,levelstats,readrandom,readrandom --compression_type=zlib --num=10000000 --reads=1000 --block_size=8192
...
```
Level Files Size(MB)
--------------------
0 0 0
1 11 238
2 9 253
3 0 0
4 0 0
5 0 0
6 0 0
```
--- perf results without this diff
DB path: [/tmp/rocksdbtest-2260/dbbench]
readrandom : 46.212 micros/op 21618 ops/sec; 2.4 MB/s (1000 of 1000 found)
DB path: [/tmp/rocksdbtest-2260/dbbench]
readrandom : 21.963 micros/op 45450 ops/sec; 5.0 MB/s (1000 of 1000 found)
--- perf results with this diff
DB path: [/tmp/rocksdbtest-2260/dbbench]
readrandom : 47.213 micros/op 21126 ops/sec; 2.3 MB/s (1000 of 1000 found)
DB path: [/tmp/rocksdbtest-2260/dbbench]
readrandom : 42.880 micros/op 23299 ops/sec; 2.6 MB/s (1000 of 1000 found)
Reviewed By: jay-zhuang
Differential Revision: D35089763
Pulled By: mdcallag
fbshipit-source-id: 1b50143a07afe876b8c8e5fa50dd94a8ce57fc6b
Summary:
This changes db_bench to fail at startup for invalid compression types. It had been
changing them to Snappy. For other invalid options it fails at startup.
This is for https://github.com/facebook/rocksdb/issues/9621
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9729
Test Plan:
This continues to work:
./db_bench --benchmarks=fillrandom --compression_type=lz4
This now fails rather than changing the compression type to Snappy
./db_bench --benchmarks=fillrandom --compression_type=lz44
Cannot parse compression type 'lz44'
Reviewed By: jay-zhuang
Differential Revision: D35081323
Pulled By: mdcallag
fbshipit-source-id: 9b38c835abddce11aa7feb235df63f53cf829981
