A library that provides an embeddable, persistent key-value store for fast storage.
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Reid Horuff a6254f2bd4 Long outstanding prepare test
Summary: This tests that a prepared transaction is not lost after several crashes, restarts, and memtable flushes.

Test Plan: TwoPhaseLongPrepareTest

Reviewers: sdong

Subscribers: hermanlee4, andrewkr, dhruba

Differential Revision: https://reviews.facebook.net/D58185
2016-05-17 18:57:06 -07:00
arcanist_util Have sandcastle run lite_test for every diff 2016-05-06 14:51:20 -07:00
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examples Adding pin_l0_filter_and_index_blocks_in_cache feature and related fixes. 2016-04-01 10:42:39 -07:00
hdfs using java7 in runtime for hdfs env (#1072) 2016-04-12 00:08:26 -04:00
include/rocksdb [rocksdb] make more options dynamic 2016-05-17 13:11:56 -07:00
java Java API - Add missing HEADER_LEVEL logging (#1104) 2016-05-06 15:06:12 -07:00
memtable Updated all copyright headers to the new format. 2016-02-09 15:12:00 -08:00
port Fix build issue. (#1123) 2016-05-16 17:01:00 -07:00
table [rocksdb] make more options dynamic 2016-05-17 13:11:56 -07:00
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tools Added PersistentCache abstraction 2016-05-15 22:17:18 -07:00
util [rocksdb] make more options dynamic 2016-05-17 13:11:56 -07:00
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DEFAULT_OPTIONS_HISTORY.md Release RocksDB 4.8.0 2016-05-02 14:38:04 -07:00
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Makefile Persistent Read Cache (Part 2) Data structure for building persistent read cache index 2016-05-17 13:18:47 -07:00
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README.md Replaced "built on on earlier work" by "built on earlier work" in README.md 2014-09-17 01:16:17 -07:00
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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/