Mark Callaghan dfccc7b4e2 Add readwhilemerging benchmark
Summary:
This is like readwhilewriting but uses Merge rather than Put in the writer thread.
I am using it for in-progress benchmarks. I don't think the other benchmarks for Merge
cover this behavior. The purpose for this test is to measure read performance when
readers might have to merge results. This will also benefit from work-in-progress
to add skewed key generation.

Task ID: #

Blame Rev:

Test Plan:
Revert Plan:

Database Impact:

Memcache Impact:

Other Notes:

EImportant:

- begin *PUBLIC* platform impact section -
Bugzilla: #
- end platform impact -

Reviewers: igor

Reviewed By: igor

Subscribers: dhruba

Differential Revision: https://reviews.facebook.net/D35115
2015-03-18 13:50:52 -07:00
2014-11-03 14:53:00 -08:00
2015-03-18 13:50:52 -07:00
2014-06-20 10:23:02 +02:00
2015-02-09 09:53:30 -08:00
2015-02-27 00:04:14 +03:00
2015-03-17 14:08:00 -07:00
2015-03-16 18:27:30 -07:00
2015-03-18 13:50:52 -07:00
2015-03-18 11:40:46 -07:00
2015-02-19 11:48:09 -08:00
2015-03-17 15:24:16 -07:00
2014-09-29 10:52:18 -07:00
2014-03-12 12:06:58 -07:00
2015-03-16 18:27:30 -07:00
2013-10-16 15:37:32 -07:00
2014-04-15 13:39:26 -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%