+1 for jiali to be next release manager Wen Lin <[email protected]> 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 <[email protected]> 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 <[email protected]><mailto: > > [email protected]> 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 <[email protected]><mailto: > > [email protected]> wrote: > > > > > > > > Congratulations! Thanks for your efforts Radar. > > > > Regards, > > Amy > > > > On Tue, Sep 25, 2018 at 10:16 PM, Yi JIN <[email protected]><mailto: > > [email protected]> wrote: > > > > > > > > Congratulations! > > > > Yi (yjin) > > > > On Tue, Sep 25, 2018 at 1:40 PM Hongxu Ma <[email protected]><mailto: > > [email protected]> 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): [email protected]<mailto:[email protected] > > ><mailto:[email protected] > > > > > > > > > > > > [email protected]<mailto:[email protected]><mailto: > > [email protected]><mailto:[email protected]> > > > > *Know more about HAWQ:* > > http://hawq.apache.org > > > > - Apache HAWQ Team > > > > > > > > > > -- > > Regards, > > Hongxu. > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > -- > > Regards, > > Hongxu. > > >
