Nathan Bronson b8f656767a always invalidate sequential-insertion cache for concurrent skiplist adds
Summary:
InlineSkipList::InsertConcurrently should invalidate the
sequential-insertion cache prev_[] for all inserts of multi-level nodes,
not just those that increase the height of the skip list.  The invariant
for prev_ is that prev_[i] (i > 0) is supposed to be the predecessor of
prev_[0] at level i.  Before this diff InsertConcurrently could violate
this constraint when inserting a multi-level node after prev_[i] but
before prev_[0].

This diff also reenables kConcurrentSkipList as db_test's
MultiThreaded/MultiThreadedDBTest.MultiThreaded/29.

Test Plan:
1. unit tests
2. temporarily hack kConcurrentSkipList timing so that it is fast but has a 1.5% failure rate on my dev box (1ms stagger on thread launch, 1s test duration, failure rate baseline over 1000 runs)
3. observe 1000 passes post-fix

Reviewers: igor, sdong

Reviewed By: sdong

Subscribers: MarkCallaghan, dhruba

Differential Revision: https://reviews.facebook.net/D53751
2016-02-04 14:21:27 -08:00
2014-11-03 14:53:00 -08:00
2015-11-16 12:56:21 -08:00
2015-12-16 17:04:46 +01:00
2015-12-30 10:12:44 -08:00
2016-01-13 14:53:23 -08:00
2016-01-13 14:53:23 -08:00
2015-04-07 11:56:29 -07:00
2015-10-01 08:29:31 +13:00
2015-10-16 10:47:37 -07:00
2014-09-29 10:52:18 -07:00
2016-01-14 16:57:06 -08:00
2014-03-12 12:06:58 -07:00
2015-12-30 15:43:52 -08:00
2015-04-13 10:33:43 +01:00
2015-05-29 14:36:35 -07:00
2015-12-25 11:03:40 -08:00
2016-01-09 14:11:44 -08:00
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%