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From Wen Lin <w...@pivotal.io>
Subject Re: [ANNOUNCE] Apache HAWQ 2.4.0.0 Release
Date Thu, 27 Sep 2018 08:50:26 GMT
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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