Siying Dong 7291a3f813 Improve fallocate size in compaction output
Summary:
Now in leveled compaction, we allocate solely based on output target file size. If the total input size is smaller than the number, we should use the total input size instead. Also, cap the allocate size to 1GB.
Closes https://github.com/facebook/rocksdb/pull/3385

Differential Revision: D6762363

Pulled By: siying

fbshipit-source-id: e30906f6e9bff3ec847d2166e44cb49c92f98a13
2018-01-22 16:43:46 -08:00
2017-11-30 15:27:34 -08:00
2017-12-01 10:42:05 -08:00
2017-08-03 15:56:46 -07:00
2017-12-01 10:42:05 -08:00
2017-10-18 14:42:10 -07:00
2017-12-05 18:42:35 -08:00
2017-12-05 18:42:35 -08:00
2017-04-27 18:06:12 -07:00
2017-09-29 11:41:28 -07:00
2017-07-15 16:11:23 -07:00
2018-01-12 23:41:43 -08:00
2015-05-29 14:36:35 -07:00
2017-12-11 15:27:32 -08:00
2017-11-19 10:11:44 -08:00

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

Linux/Mac Build Status Windows Build status PPC64le 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%