Reid Horuff 0460e9dcce Modification of WriteBatch to support two phase commit
Summary: Adds three new WriteBatch data types: Prepare(xid), Commit(xid), Rollback(xid). Prepare(xid) should precede the (single) operation to which is applies. There can obviously be multiple Prepare(xid) markers. There should only be one Rollback(xid) or Commit(xid) marker yet not both. None of this logic is currently enforced and will most likely be implemented further up such as in the memtableinserter. All three markers are similar to PutLogData in that they are writebatch meta-data, ie stored but not counted. All three markers differ from PutLogData in that they will actually be written to disk. As for WriteBatchWithIndex, Prepare, Commit, Rollback are all implemented just as PutLogData and none are tested just as PutLogData.

Test Plan: single unit test in write_batch_test.

Reviewers: hermanlee4, sdong, anthony

Subscribers: leveldb, dhruba, vasilep, andrewkr

Differential Revision: https://reviews.facebook.net/D57867
2016-05-10 14:06:07 -07:00
2014-11-03 14:53:00 -08:00
2015-11-16 12:56:21 -08:00
2016-05-10 09:53:52 -07:00
2015-04-07 11:56:29 -07:00
2016-03-07 15:56:16 -08:00
2016-04-13 14:22:29 -07:00
2014-09-29 10:52:18 -07:00
2016-05-06 17:42:50 -07:00
2016-05-09 15:57:19 -07:00
2016-04-27 16:23:33 -07:00
2015-04-13 10:33:43 +01:00
2015-05-29 14:36:35 -07:00
2016-05-06 17:42:50 -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%