Summary:
The current integration with folly requires cherry-picking folly source files to include in RocksDB for external CI builds. Its not scaleable as we depend on more features in folly, such as coroutines. This PR adds a dependency from RocksDB to the folly library when ```USE_FOLLY``` or ```USE_COROUTINES``` are set. We build folly using the build scripts in ```third-party/folly```, relying on it to download and build its dependencies. A new ```Makefile``` target, ```build_folly```, is provided to make building folly easier.
A new option, ```USE_FOLLY_LITE``` is added to retain the old model of compiling selected folly sources with RocksDB. This might be useful for short-term development.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10103
Reviewed By: pdillinger
Differential Revision: D38426787
Pulled By: anand1976
fbshipit-source-id: 33bc84abd9fdc7e2567749f02aa1b2494eb62b2f
Summary:
Update jemalloc version for platform009. Current one is a bit old and the new one can bring some quick wins (e.g. new heap profiling features on devserver).
Pull Request resolved: https://github.com/facebook/rocksdb/pull/10143
Test Plan:
1. The building and testing on devserver should work.
2. `db_bench` with `--dump_malloc_stats`
`./db_bench --benchmarks=fillrandom --num=10000000 -db=/db_bench_1 `
`./db_bench --benchmarks=overwrite,stats --num=10000000 -use_existing_db -duration=10 --benchmark_write_rate_limit=2000000 -db=/db_bench_1 `
`./db_bench --benchmarks=seekrandom,stats --threads=16 --num=10000000 -use_existing_db -duration=120 --benchmark_write_rate_limit=52000000 -use_direct_reads --cache_size=520000000 --statistics -db=/db_bench_1 --dump_malloc_stats=true`
Before this PR: jemalloc Version: "5.2.1-1303-g73b8faa7149e452f93e52005c89459da08343570"
After this PR: jemalloc Version:
Reviewed By: anand1976
Differential Revision: D37049347
Pulled By: gitbw95
fbshipit-source-id: 3fcd82cca989047b4bbdfdebe5beba2c4c255ed8
Summary:
This PR implements a coroutine version of batched MultiGet in order to concurrently read from multiple SST files in a level using async IO, thus reducing the latency of the MultiGet. The API from the user perspective is still synchronous and single threaded, with the RocksDB part of the processing happening in the context of the caller's thread. In Version::MultiGet, the decision is made whether to call synchronous or coroutine code.
A good way to review this PR is to review the first 4 commits in order - de773b3, 70c2f70, 10b50e1, and 377a597 - before reviewing the rest.
TODO:
1. Figure out how to build it in CircleCI (requires some dependencies to be installed)
2. Do some stress testing with coroutines enabled
No regression in synchronous MultiGet between this branch and main -
```
./db_bench -use_existing_db=true --db=/data/mysql/rocksdb/prefix_scan -benchmarks="readseq,multireadrandom" -key_size=32 -value_size=512 -num=5000000 -batch_size=64 -multiread_batched=true -use_direct_reads=false -duration=60 -ops_between_duration_checks=1 -readonly=true -adaptive_readahead=true -threads=16 -cache_size=10485760000 -async_io=false -multiread_stride=40000 -statistics
```
Branch - ```multireadrandom : 4.025 micros/op 3975111 ops/sec 60.001 seconds 238509056 operations; 2062.3 MB/s (14767808 of 14767808 found)```
Main - ```multireadrandom : 3.987 micros/op 4013216 ops/sec 60.001 seconds 240795392 operations; 2082.1 MB/s (15231040 of 15231040 found)```
More benchmarks in various scenarios are given below. The measurements were taken with ```async_io=false``` (no coroutines) and ```async_io=true``` (use coroutines). For an IO bound workload (with every key requiring an IO), the coroutines version shows a clear benefit, being ~2.6X faster. For CPU bound workloads, the coroutines version has ~6-15% higher CPU utilization, depending on how many keys overlap an SST file.
1. Single thread IO bound workload on remote storage with sparse MultiGet batch keys (~1 key overlap/file) -
No coroutines - ```multireadrandom : 831.774 micros/op 1202 ops/sec 60.001 seconds 72136 operations; 0.6 MB/s (72136 of 72136 found)```
Using coroutines - ```multireadrandom : 318.742 micros/op 3137 ops/sec 60.003 seconds 188248 operations; 1.6 MB/s (188248 of 188248 found)```
2. Single thread CPU bound workload (all data cached) with ~1 key overlap/file -
No coroutines - ```multireadrandom : 4.127 micros/op 242322 ops/sec 60.000 seconds 14539384 operations; 125.7 MB/s (14539384 of 14539384 found)```
Using coroutines - ```multireadrandom : 4.741 micros/op 210935 ops/sec 60.000 seconds 12656176 operations; 109.4 MB/s (12656176 of 12656176 found)```
3. Single thread CPU bound workload with ~2 key overlap/file -
No coroutines - ```multireadrandom : 3.717 micros/op 269000 ops/sec 60.000 seconds 16140024 operations; 139.6 MB/s (16140024 of 16140024 found)```
Using coroutines - ```multireadrandom : 4.146 micros/op 241204 ops/sec 60.000 seconds 14472296 operations; 125.1 MB/s (14472296 of 14472296 found)```
4. CPU bound multi-threaded (16 threads) with ~4 key overlap/file -
No coroutines - ```multireadrandom : 4.534 micros/op 3528792 ops/sec 60.000 seconds 211728728 operations; 1830.7 MB/s (12737024 of 12737024 found) ```
Using coroutines - ```multireadrandom : 4.872 micros/op 3283812 ops/sec 60.000 seconds 197030096 operations; 1703.6 MB/s (12548032 of 12548032 found) ```
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9968
Reviewed By: akankshamahajan15
Differential Revision: D36348563
Pulled By: anand1976
fbshipit-source-id: c0ce85a505fd26ebfbb09786cbd7f25202038696
Summary:
Especially after updating to C++17, I don't see a compelling case for
*requiring* any folly components in RocksDB. I was able to purge the existing
hard dependencies, and it can be quite difficult to strip out non-trivial components
from folly for use in RocksDB. (The prospect of doing that on F14 has changed
my mind on the best approach here.)
But this change creates an optional integration where we can plug in
components from folly at compile time, starting here with F14FastMap to replace
std::unordered_map when possible (probably no public APIs for example). I have
replaced the biggest CPU users of std::unordered_map with compile-time
pluggable UnorderedMap which will use F14FastMap when USE_FOLLY is set.
USE_FOLLY is always set in the Meta-internal buck build, and a simulation of
that is in the Makefile for public CI testing. A full folly build is not needed, but
checking out the full folly repo is much simpler for getting the dependency,
and anything else we might want to optionally integrate in the future.
Some picky details:
* I don't think the distributed mutex stuff is actually used, so it was easy to remove.
* I implemented an alternative to `folly::constexpr_log2` (which is much easier
in C++17 than C++11) so that I could pull out the hard dependencies on
`ConstexprMath.h`
* I had to add noexcept move constructors/operators to some types to make
F14's complainUnlessNothrowMoveAndDestroy check happy, and I added a
macro to make that easier in some common cases.
* Updated Meta-internal buck build to use folly F14Map (always)
No updates to HISTORY.md nor INSTALL.md as this is not (yet?) considered a
production integration for open source users.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9546
Test Plan:
CircleCI tests updated so that a couple of them use folly.
Most internal unit & stress/crash tests updated to use Meta-internal latest folly.
(Note: they should probably use buck but they currently use Makefile.)
Example performance improvement: when filter partitions are pinned in cache,
they are tracked by PartitionedFilterBlockReader::filter_map_ and we can build
a test that exercises that heavily. Build DB with
```
TEST_TMPDIR=/dev/shm/rocksdb ./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 -partition_index_and_filters
```
and test with (simultaneous runs with & without folly, ~20 times each to see
convergence)
```
TEST_TMPDIR=/dev/shm/rocksdb ./db_bench_folly -readonly -use_existing_db -benchmarks=readrandom -num=10000000 -bloom_bits=16 -compaction_style=2 -fifo_compaction_max_table_files_size_mb=10000 -fifo_compaction_allow_compaction=0 -partition_index_and_filters -duration=40 -pin_l0_filter_and_index_blocks_in_cache
```
Average ops/s no folly: 26229.2
Average ops/s with folly: 26853.3 (+2.4%)
Reviewed By: ajkr
Differential Revision: D34181736
Pulled By: pdillinger
fbshipit-source-id: ffa6ad5104c2880321d8a1aa7187e00ab0d02e94
Summary:
So the build on dev server will work.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/9787
Test Plan: `$ make db_basic_bench` on dev server.
Reviewed By: ajkr
Differential Revision: D35295466
Pulled By: jay-zhuang
fbshipit-source-id: 58dccc65bc29e1185b97cbeb7630ed66deb604aa
Summary:
For internal build enviroment only. Developer could run the
microbenchmark without `ROCKSDB_NO_FBCODE=1`.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8954
Test Plan: `$ make microbench` on dev server
Reviewed By: ajkr
Differential Revision: D31163717
Pulled By: jay-zhuang
fbshipit-source-id: 1ff59f660ca05afd0fd5c7c7dcdfd831ac365462
Summary:
We see some hosts failed to build platform009 with gcc. Revert the default to be platform007 if USE_CLANG is not specified.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/7253
Test Plan: Build with both of USE_CLANG=1 set and not set and observe it builds successfully, and see the tool chain used.
Reviewed By: jay-zhuang
Differential Revision: D23110550
fbshipit-source-id: 25cb47923f7174b24debdad0cc8d90b07c4d5d09
Summary:
Upgrade tool chain to the latest. It is done mostly manually as build_tools/build_detect_platform fails to update many of them.
Try to fix a new clang analyze warning with the new tool chain.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/7251
Test Plan: "make all", "USE_CLANG=1 make all"
Reviewed By: riversand963
Differential Revision: D23091090
fbshipit-source-id: 732e5a30137837431438f85f36296406b641f975
