6797e6ffac
Summary: If options.write_buffer_size is not set, nor options.write_buffer_manager, no need to update the bytes allocated counter in MemTableAllocator, which is expensive in parallel memtable insert case. Remove it can improve parallel memtable insert throughput by 10% with write batch size 128. Test Plan: Run benchmarks TEST_TMPDIR=/dev/shm/ ./db_bench --benchmarks=fillrandom -disable_auto_compactions -level0_slowdown_writes_trigger=9999 -level0_stop_writes_trigger=9999 -num=10000000 --writes=1000000 -max_background_flushes=16 -max_write_buffer_number=16 --threads=32 --batch_size=128 -allow_concurrent_memtable_write -enable_write_thread_adaptive_yield The throughput grows 10% with the benchmark. Reviewers: andrewkr, yiwu, IslamAbdelRahman, igor, ngbronson Reviewed By: ngbronson Subscribers: ngbronson, leveldb, andrewkr, dhruba Differential Revision: https://reviews.facebook.net/D60465
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 specially suitable for storing multiple terabytes of data in a single database.
Start with example usage here: https://github.com/facebook/rocksdb/tree/master/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.
Design discussions are conducted in https://www.facebook.com/groups/rocksdb.dev/