a43481b3d0
Summary: When the rate limiter does not have any waiting requests, the first request to arrive may consume all of the available bandwidth, despite potentially having lower priority than requests that arrive later in the same refill interval. Then, those higher priority requests must wait for a refill. So even in scenarios in which we have an overall bandwidth surplus, the highest priority requests can be sporadically delayed up to a whole refill period. Alone, this isn't necessarily problematic as the refill period is configurable via `refill_period_us` and can be tuned down as needed until the max sporadic delay is tolerable. However, tuning down `refill_period_us` had a side effect of reducing burst size. Some users require a certain burst size to issue optimal I/O sizes to the underlying storage system. To satisfy those users, this PR decouples the refill period from the burst size. That way, the max sporadic delay can be limited without impacting I/O sizes issued to the underlying storage system. Pull Request resolved: https://github.com/facebook/rocksdb/pull/12379 Test Plan: The goal is to show we can now limit the max sporadic delay without impacting compaction's I/O size. The benchmark runs compaction with a large I/O size, while user reads simultaneously run at a low rate that does not consume all of the available bandwidth. The max sporadic delay is measured using the P100 of rocksdb.file.read.get.micros. I just used strace to verify the compaction reads follow `rate_limiter_single_burst_bytes` Setup: `./db_bench -benchmarks=fillrandom,flush -write_buffer_size=67108864 -disable_auto_compactions=true -value_size=256 -num=1048576` Benchmark: `./db_bench -benchmarks=readrandom -use_existing_db=true -num=1048576 -duration=10 -benchmark_read_rate_limit=4096 -rate_limiter_bytes_per_sec=67108864 -rate_limiter_refill_period_us=$refill_micros -rate_limiter_single_burst_bytes=16777216 -rate_limit_bg_reads=true -rate_limit_user_ops=true -statistics=true -cache_size=0 -stats_level=5 -compaction_readahead_size=16777216 -use_direct_reads=true` Results: refill_micros | rocksdb.file.read.get.micros (P100) -- | -- 10000 | 10802 100000 | 100240 1000000 | 922061 For verifying compaction read sizes: `strace -fye pread64 ./db_bench -benchmarks=compact -use_existing_db=true -rate_limiter_bytes_per_sec=67108864 -rate_limiter_refill_period_us=$refill_micros -rate_limiter_single_burst_bytes=16777216 -rate_limit_bg_reads=true -compaction_readahead_size=16777216 -use_direct_reads=true` Reviewed By: hx235 Differential Revision: D54165675 Pulled By: ajkr fbshipit-source-id: c5968486316cbfb7ff8e5b7d75d3589883dd1105 |
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RocksDB: A Persistent Key-Value Store for Flash and RAM Storage
RocksDB is developed and maintained by Facebook Database Engineering Team. It is built on earlier work on LevelDB by Sanjay Ghemawat (sanjay@google.com) and Jeff Dean (jeff@google.com)
This code is a library that forms the core building block for a fast key-value server, especially suited for storing data on flash drives. It has a Log-Structured-Merge-Database (LSM) design with flexible tradeoffs between Write-Amplification-Factor (WAF), Read-Amplification-Factor (RAF) and Space-Amplification-Factor (SAF). It has multi-threaded compactions, making it especially suitable for storing multiple terabytes of data in a single database.
Start with example usage here: https://github.com/facebook/rocksdb/tree/main/examples
See the github wiki for more explanation.
The public interface is in include/. Callers should not include or
rely on the details of any other header files in this package. Those
internal APIs may be changed without warning.
Questions and discussions are welcome on the RocksDB Developers Public Facebook group and email list on Google Groups.
License
RocksDB is dual-licensed under both the GPLv2 (found in the COPYING file in the root directory) and Apache 2.0 License (found in the LICENSE.Apache file in the root directory). You may select, at your option, one of the above-listed licenses.