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A library that provides an embeddable, persistent key-value store for fast storage.
2,625 Commits 152 Branches 236 Tags 271 MiB
C++ 82.1%
Java 10.3%
C 2.5%
Python 1.7%
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Yueh-Hsuan Chiang 469d474ba0 Apply InfoLogLevel to the logs in db/db_impl.cc 
Summary: Apply InfoLogLevel to the logs in db/db_impl.cc

Test Plan:
db_test
db_bench

Reviewers: ljin, sdong, igor

Reviewed By: igor

Subscribers: leveldb, MarkCallaghan, dhruba

Differential Revision: https://reviews.facebook.net/D28233
2014-11-04 10:28:08 -08:00
build_tools Revamp our build tools 2014-11-03 14:00:45 -08:00
coverage Fix coverage script 2014-11-03 14:53:00 -08:00
db Apply InfoLogLevel to the logs in db/db_impl.cc 2014-11-04 10:28:08 -08:00
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examples add make clean in examples makefile 2014-11-03 04:42:28 +08:00
hdfs DB::Open() to automatically increase thread pool size if it is smaller than max number of parallel compactions or flushes 2014-11-03 17:22:34 -08:00
helpers/memenv Expose in memory Env to the world 2014-04-14 12:28:15 -07:00
include DB::Open() to automatically increase thread pool size if it is smaller than max number of parallel compactions or flushes 2014-11-03 17:22:34 -08:00
java [RocksJava] Build fix after options refactoring 2014-11-02 23:48:40 +01:00
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util DB::Open() to automatically increase thread pool size if it is smaller than max number of parallel compactions or flushes 2014-11-03 17:22:34 -08:00
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README.md

RocksDB: A Persistent Key-Value Store for Flash and RAM Storage

Build Status

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/