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RethinkDB 2.1.3 发布,分布式数据库

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 earlier in 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  • Changed the handling of outdated indexes from RethinkDB 1.13 during an import to no longer terminate the server ( #4766 )

性能提升

  • Improved the latency when reading from a system table in r.db('rethinkdb') while the server 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 parsers and to speed up pseudo type conversion ( #4585 )

  • Improved the prefetching logic in the Python driver to increase the throughput of cursors

  • Changed the Python driver to use a more efficient data structure to store cursor results ( #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。

RethinkDB 2.1.3 发布,分布式数据库

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

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