Yi Wu 640d724808 Update db_bench and sst_dump to test with block cache mid-point inser?
Summary:
?tion

Add flags in db_bench to test with block cache mid-point insertion.
Also update sst_dump to dump total block sizes of each type. I find it
useful to look at these test db stats and I don't know if we have them
elsewhere.
Closes https://github.com/facebook/rocksdb/pull/1706

Differential Revision: D4355812

Pulled By: yiwu-arbug

fbshipit-source-id: 3e4a348
2017-01-03 18:39:14 -08:00
2014-11-03 14:53:00 -08:00
2017-01-03 18:39:14 -08:00
2016-12-14 11:54:22 -08:00
2017-01-03 18:39:14 -08:00
2016-12-29 15:54:19 -08:00
2017-01-03 18:39:14 -08:00
2017-01-01 11:24:14 -08:00
2016-08-10 09:08:13 -07:00
2014-09-29 10:52:18 -07:00
2016-12-29 15:54:19 -08:00
2015-04-13 10:33:43 +01:00
2016-07-26 13:54:08 -07:00
2015-05-29 14:36:35 -07:00
2016-12-19 12:09:12 -08:00

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

Build Status 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%