Re: [Announce] Apache Kylin 2.5.0 released

[ShaoFeng Shi]

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  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  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

Re: [Announce] Apache Kylin 2.5.0 released

[Billy Liu]

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  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
>