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Apache Drill 1.9.0 发布,大型数据集分析系统

时间:2016-12-02 06:22来源:linux.it.net.cn 作者:IT

Apache Drill 1.9.0 发布了。主要更新如下:

新特性:

  • Asynchronous Parquet reader

  • Parquet filter pushdown

  • Dynamic UDF support

  • HTTPD format plugin

改进:

  • [DRILL-1950] - Implement filter pushdown for Parquet

  • [DRILL-3178] - csv reader should allow newlines inside quotes

  • [DRILL-4309] - Make this option store.hive.optimize_scan_with_native_readers=true default

  • [DRILL-4653] - Malformed JSON should not stop the entire query from progressing

  • [DRILL-4674] - Allow casting to boolean the same literals as in Postgre

  • [DRILL-4752] - Remove submit_plan script from Drill distribution

  • [DRILL-4771] - Drill should avoid doing the same join twice if count(distinct) exists

  • [DRILL-4792] - Include session options used for a query as part of the profile

  • [DRILL-4800] - Improve parquet reader performance

  • [DRILL-4864] - Add ANSI format for date/time functions

  • [DRILL-4865] - Add ANSI format for date/time functions

  • [DRILL-4927] - Add support for Null Equality Joins

  • [DRILL-4967] - Adding template_name to source code generated using freemarker template

  • [DRILL-4986] - Allow users to customize the Drill log file name

  • [DRILL-4987] - Use ImpersonationUtil in RemoteFunctionRegistry

下载地址:

为了帮助企业用户寻找更为有效、加快Hadoop数据查询的方法,Apache 软件基金会发起了一项名为“Drill”的开源项目。Apache Drill 实现了 Google's Dremel.

该项目将会创建出开源版本的谷歌Dremel Hadoop工具(谷歌使用该工具来为Hadoop数据分析工具的互联网应用提速)。而“Drill”将有助于Hadoop用户实现更快查询海量数据集的目的。

Day-zero analytics & rapid application development

数据结构:

   Purpose-built for semi-structured/nested data

兼容已有的 SQL 环境和 Apache Hive:

 Compatibility with existing SQL environments and Apache Hive deployments

(责任编辑:IT)
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