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Posted to announce@apache.org by ShaoFeng Shi <sh...@apache.org> on 2018/09/19 00:30:56 UTC
[Announce] Apache Kylin 2.5.0 released
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
Re: [Announce] Apache Kylin 2.5.0 released
Posted by ShaoFeng Shi <sh...@apache.org>.
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 <bi...@apache.org> 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 <sh...@apache.org> 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
Posted by ShaoFeng Shi <sh...@apache.org>.
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 <bi...@apache.org> 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 <sh...@apache.org> 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
Posted by Billy Liu <bi...@apache.org>.
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 <sh...@apache.org> 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
>
Re: [Announce] Apache Kylin 2.5.0 released
Posted by Billy Liu <bi...@apache.org>.
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 <sh...@apache.org> 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
>