Adding a blog post to introduce this release, we encourage you to upgrade and provide feedback in the mailing list:
English: https://kylin.apache.org/blog/2018/09/20/release-v2.5.0/ Chinese: https://kylin.apache.org/cn/blog/2018/09/20/release-v2.5.0/ Thanks! Billy Liu <[email protected]> 于2018年9月19日周三 下午9:23写道： > Thanks Shaofeng. > > I think this is one of the most remarkable releases since 2.0. > A few highlights: > [KYLIN-3521] - Enable Cube Planner by default > [KYLIN-2565] - Support Hadoop 3.0 > [KYLIN-3033] - Support HBase 2.0 > [KYLIN-3418] - User interface for hybrid model > [KYLIN-3427] - Convert to HFile in Spark > [KYLIN-3441] - Merge cube segments in Spark > [KYLIN-3442] - Fact distinct columns in Spark > [KYLIN-3453] - Improve cube size estimation for TOPN, COUNT DISTINCT > and a lot of bug fixes and improvement on stability. > > With Warm regards > > Billy Liu > ShaoFeng Shi <[email protected]> 于2018年9月19日周三 上午8:31写道： > > > > The Apache Kylin team is pleased to announce the immediate availability > of the 2.5.0 release. > > > > This is a major release after 2.4, with more than 100 enhancements and > bug fixes. All of the changes in this release can be found in: > > https://kylin.apache.org/docs/release_notes.html > > > > You can download the source release and binary packages from Apache > Kylin's download page: https://kylin.apache.org/download/ > > > > Apache Kylin is an open source Distributed Analytics Engine designed to > provide SQL interface and multi-dimensional analysis (OLAP) on Apache > Hadoop, supporting extremely large datasets. > > > > Apache Kylin lets you query massive dataset at sub-second latency in 3 > steps: > > 1. Identify a star schema or snowflake schema data set on Hadoop. > > 2. Build Cube on Hadoop. > > 3. Query data with ANSI-SQL and get results in sub-second, via ODBC, > JDBC or RESTful API. > > > > Thanks to everyone who has contributed to the 2.5.0 release. > > > > We welcome your help and feedback. For more information on how to > > report problems, and to get involved, visit the project website at > > https://kylin.apache.org/ > > > > -- > > Best regards, > > > > Shaofeng Shi 史少锋 > > > -- Best regards, Shaofeng Shi 史少锋
