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From 陶征霖 <ztao1...@apache.org>
Subject Re: [ANNOUNCE] Apache HAWQ 2.4.0.0 Release
Date Thu, 27 Sep 2018 13:03:00 GMT
+1 for jiali to be next release manager

Wen Lin <wlin@pivotal.io> 于2018年9月27日周四 下午5:50写道:

> Glad to see the new version release after HAWQ's graduation.
> Congratulations!
>
> On Thu, Sep 27, 2018 at 4:46 PM Hongxu Ma <interma@outlook.com> wrote:
>
> > 👍, thanks Jiali!
> >
> > 在 27/09/2018 16:41, jiali yao 写道:
> >
> > Great !
> > Thanks for Radar and  previous release managers: Ed, Yi and Ruilong to
> make
> > it happen.
> >
> > It is really an exciting project and I will be volunteer to be next
> release
> > manager.
> >
> > Thanks a lot.
> >
> > Jiali
> >
> >
> >
> >
> > On Thu, Sep 27, 2018 at 4:31 PM Radar Lei <rlei@pivotal.io><mailto:
> > rlei@pivotal.io> wrote:
> >
> >
> >
> > This is HAWQ's first release as TLP,  thanks everyone for making this
> real,
> > especially the help from previous release managers: Ed, Yi and Ruilong.
> >
> > To make it a more successful apache project and community, we need to
> keep
> > the
> > release cadence. Who would like to be volunteer for the next release
> > manager and enjoy the adventure? Thanks.
> >
> > Regards,
> > Radar
> >
> > On Thu, Sep 27, 2018 at 10:55 AM, Bai Jie <amybai6666@gmail.com><mailto:
> > amybai6666@gmail.com> wrote:
> >
> >
> >
> > Congratulations! Thanks for your efforts Radar.
> >
> > Regards,
> > Amy
> >
> > On Tue, Sep 25, 2018 at 10:16 PM, Yi JIN <yjin@apache.org><mailto:
> > yjin@apache.org> wrote:
> >
> >
> >
> > Congratulations!
> >
> > Yi (yjin)
> >
> > On Tue, Sep 25, 2018 at 1:40 PM Hongxu Ma <interma@outlook.com><mailto:
> > interma@outlook.com> wrote:
> >
> >
> >
> > Great!
> > Thanks Radar.
> >
> > 在 23/09/2018 09:35, Radar Lei 写道:
> >
> > Apache HAWQ Project Team is proud to announce Apache
> > HAWQ 2.4.0.0 has been released.
> >
> > Apache HAWQ combines exceptional MPP-based analytics
> > performance, robust ANSI SQL compliance, Hadoop ecosystem
> > integration and manageability, and flexible data-store format
> > support, all natively in Hadoop, no connectors required. Built
> > from a decade’s worth of massively parallel processing (MPP)
> > expertise developed through the creation of the Pivotal
> > Greenplum® enterprise database and open source PostgreSQL, HAWQ
> > enables to you to swiftly and interactively query Hadoop data,
> > natively via HDFS.
> >
> > *Download Link*:
> > https://dist.apache.org/repos/dist/release/hawq/2.4.0.0/
> >
> > *About this release*
> > This is the project's initial release as an Apache Top Level
> > Project.
> > This is a release having both source code and binary.
> >
> > New features:
> > Pluggable Vectorized Execution Engine on HAWQ.
> > Runtime Filter for HAWQ local hash join.
> >
> > All changes:
> >
> > https://cwiki.apache.org/confluence/display/HAWQ/
> >
> >
> > Apache+HAWQ+2.4.0.0+Release
> >
> >
> >
> > *HAWQ Resources:*
> >    - JIRA: https://issues.apache.org/jira/browse/HAWQ
> >    - Wiki:
> > https://cwiki.apache.org/confluence/pages/viewpage.
> >
> >
> > action?pageId=61318291
> >
> >
> >    - Mailing list(s): dev@hawq.apache.org<mailto:dev@hawq.apache.org
> > ><mailto:dev@hawq.apache.org
> >
> >
> >
> >
> >
> > user@hawq.apache.org<mailto:user@hawq.apache.org><mailto:
> > user@hawq.apache.org><mailto:user@hawq.apache.org>
> >
> > *Know more about HAWQ:*
> > http://hawq.apache.org
> >
> > - Apache HAWQ Team
> >
> >
> >
> >
> > --
> > Regards,
> > Hongxu.
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > --
> > Regards,
> > Hongxu.
> >
>

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