RethinkDB 2.1.3 发布，分布式数据库

jilgb

欢迎加入运维网交流群:263444886  
　　RethinkDB 2.1.3 发布，此版本是个 bug 修复版本。
　　更新内容如下：
兼容性

• 　　RethinkDB 2.1.3 servers cannot be mixed with servers running RethinkDB 2.1.1 or earlierin the same cluster
  

Bug 修复

• 　　Fixed a data corruption bug in the b-tree implementation (#4769)
  
• 　　Fixed the ssl option in the JavaScript driver (#4786)
  
• 　　Made the Ruby driver compatible with Ruby on Rails 3.2 (#4753)
  
• 　　Added the backports.ssl_match_hostname library to the Python driver package (#4683)
  
• 　　Changed the update check to use an encrypted https connection (#3988, #4643)
  
• 　　Fixed access to https sources in r.http on OS X (#3112)
  
• 　　Fixed an Unexpected exception error (#4758)
  
• 　　Fixed a Guarantee failed: [pair.second] crash that could occur during resharding(#4774)
  
• 　　Fixed a bug that caused some queries to not report an error when interrupted (#4762)
  
• 　　Added a new "_debug_recommit" recovery option to emergency_repair (#4720)
  
• 　　Made error reporting in the Python driver compatible with celery and nose (#4764)
  
• 　　Changed the handling of outdated indexes from RethinkDB 1.13 during an import to nolonger terminate the server (#4766)
  

性能提升

• 　　Improved the latency when reading from a system table in r.db('rethinkdb') while theserver is under load (#4773)
  
• 　　Improved the parallelism of JSON encoding on the server to utilize multiple CPU cores
  
• 　　Refactored JSON decoding in the Python driver to allow the use of custom JSON parsersand to speed up pseudo type conversion (#4585)
  
• 　　Improved the prefetching logic in the Python driver to increase the throughput ofcursors
  
• 　　Changed the Python driver to use a more efficient data structure to store cursorresults (#4782)
  

　　下载：https://github.com/rethinkdb/rethinkdb/archive/v2.1.3.zip
　　RethinkDB 设计用来存储 JSON 文档的分布式数据库，可通过简单操作实现多机分布式存储。支持表的联合和分组查询。

　　特点：
　　简单编程模型

• 　　JSON 数据模型和一致性
  
• 　　分布式联合查询、子查询、聚合查询和原子更新操作
  
• 　　Hadoop 风格的 map/reduce.
  

　　轻松管理

• 　　提供友好的 Web 和命令行管理工具
  
• 　　服务器和网络故障时的谨慎处理
  
• 　　多数据中心复制和故障转移
  

　　水平伸缩

• 　　数据分片和复制到多个节点
  
• 　　自动化并行查询和分布式查询
  
• 　　通过 MVCC 并发实现无锁操作