Yoshinori Matsunobu 4886073174 Adding Slice::difference_offset() function
Summary:
There are some use cases in MyRocks to compare two slices
and to return the first byte where they differ. It may be
useful to add it as a RocksDB Slice function.

Test Plan: db_test

Reviewers: sdong, rven, igor

Reviewed By: igor

Subscribers: jkedgar, dhruba

Differential Revision: https://reviews.facebook.net/D46935
2015-09-15 10:32:42 -07:00
2014-11-03 14:53:00 -08:00
2014-06-20 10:23:02 +02:00
2015-08-25 12:29:44 -07:00
2015-08-12 10:18:59 -07:00
2015-09-14 17:41:40 -07:00
2015-09-15 15:04:56 +03:00
2015-04-07 11:56:29 -07:00
2015-07-01 16:13:56 -07:00
2014-09-29 10:52:18 -07:00
2015-09-09 16:01:03 -07:00
2015-09-03 19:46:09 -07:00
2014-03-12 12:06:58 -07:00
2015-04-13 10:33:43 +01:00
2015-05-29 14:36:35 -07:00
2015-09-02 14:04:51 -07:00
2015-02-26 15:19:17 -08:00

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/

Description
A library that provides an embeddable, persistent key-value store for fast storage.
Readme 271 MiB
Languages
C++ 82.1%
Java 10.3%
C 2.5%
Python 1.7%
Perl 1.1%
Other 2.1%