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A library that provides an embeddable, persistent key-value store for fast storage.
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C++ 82.1%
Java 10.3%
C 2.5%
Python 1.7%
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sdong 045575ad0c Add CuckooHash table format to table_reader_bench 
Summary: Make table_reader_bench cover all the three table formats.

Test Plan: Run it using three options

Reviewers: radheshyamb, ljin

Reviewed By: ljin

Subscribers: leveldb

Differential Revision: https://reviews.facebook.net/D22137
2014-08-19 14:58:15 -07:00
build_tools Changes to support unity build: 2014-08-11 13:22:47 -04:00
coverage Disable the html-based coverage report by default 2014-02-06 12:58:13 -08:00
db Adding Column Family support in db_bench. 2014-08-18 18:15:01 -07:00
doc Remove seek compaction 2014-06-20 10:23:02 +02:00
examples Make it easier to start using RocksDB 2014-05-10 10:49:33 -07:00
hdfs hdfs cleanup and compile test against CDH 4.4. 2014-05-20 17:22:12 -04:00
helpers/memenv Expose in memory Env to the world 2014-04-14 12:28:15 -07:00
include WriteBatchWithIndex: a wrapper of WriteBatch, with a searchable index 2014-08-18 16:37:38 -07:00
java [Java] Add purgeOldBackups API 2014-08-14 10:58:09 -07:00
linters allow lambda function syntax in cpplint 2014-02-20 12:47:05 -08:00
port generic rate limiter 2014-07-08 11:41:57 -07:00
table Add CuckooHash table format to table_reader_bench 2014-08-19 14:58:15 -07:00
third-party/rapidjson Fix a rapidjson compile error in mac. 2014-06-23 17:09:24 -06:00
tools fix_sst_dump_for_old_sst_format 2014-08-14 09:59:41 -07:00
util Remove BitStream* tests 2014-08-19 09:52:54 -04:00
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README.md Update README.md 2014-06-23 15:58:54 -07:00
ROCKSDB_LITE.md RocksDBLite 2014-04-15 13:39:26 -07:00

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 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/