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Re: [ANNOUNCE] Apache CarbonData 1.0.0-incubating released

Posted by Liang Chen on Feb 07, 2017; 5:21am
URL: http://apache-carbondata-dev-mailing-list-archive.168.s1.nabble.com/ANNOUNCE-Apache-CarbonData-1-0-0-incubating-released-tp7207p7389.html

Hi relatall

Looks that AWS Athena doesn't support CarbonData format currently.
Maybe you can try your ad hoc queries on CarbonData(HDFS)HDSF+Spark
directly.

Regards
Liang

2017-02-06 19:06 GMT-05:00 <[hidden email]>:

> Hi,
>   I have data stored in S3 and use AWS Athena to do ad-hoc queries. How can
> I leverage CarbonData for my business, please?
>
> On Sun, Feb 5, 2017 at 5:27 PM, Liang Chen <[hidden email]>
> wrote:
>
> > Hi xiaoqiao
> >
> > Very happy to see that you will keep contributing on CarbonData, "Double
> > Array Trie" is really a good feature to improve dictionary part.
> >
> > Yes, CarbonData's goal is for solving  complex and diversity scenarios.
> > Please let us(community) know if you deploy CarbonData on scenario system
> > meets any issues and requires any helps.
> >
> > Regards
> > Liang
> >
> >
> > 2017-02-06 0:39 GMT+08:00 Xiaoqiao He <[hidden email]>:
> >
> > >  Firstly, configuration to *Apache CarbonData 1.0.0-incubating
> released*
> > > and Thanks for the great works.
> > >
> > > Test about CarbonData 1.0.0-incubating found that this version is
> better
> > in
> > > availability, reliability and performance than previous
> > > ones. Especially the performance of loading data improved
> significantly.
> > >
> > > As well as, new features such as supporting update/delete
> functionality,
> > > integration with Spark 2.x and removing kettle for loading data
> solution,
> > > etc. are really amazing. In order to improve the dictionary module
> > > performance, I will keep to work for continuous improvement and
> > > optimization about "Double Array Trie".
> > >
> > > I am from MEITUAN which is (one of) the biggest O2O internet company in
> > > China, Query scenario we are facing is very complex and diverse, and
> > > CarbonData is just match some of that. so we are in the process of
> > making a
> > > thorough research and plan to deploy CarbonData on our production
> > > environment.
> > >
> > >
> > > On Mon, Jan 30, 2017 at 12:01 PM, Jacky Li <[hidden email]> wrote:
> > >
> > > > Hi All,
> > > >
> > > > The Apache CarbonData PMC team is happy to annouce the release of
> > Apache
> > > > CarbonData version 1.0.0-incubating.
> > > >
> > > > Apache CarbonData(incubating) is an indexed columnar data format for
> > fast
> > > > analytics on big data platform, e.g.Apache Hadoop, Apache Spark, etc.
> > > >
> > > > The release notes is available at:
> > > > https://cwiki.apache.org/confluence/display/CARBONDATA/
> > > > Apache+CarbonData+1.0.0-incubating
> > > >
> > > > The release artifacts are available at:
> > > > https://www.apache.org/dyn/closer.lua/incubator/
> > > > carbondata/1.0.0-incubating
> > > >
> > > > You can follow this document to use these artifacts:
> > > > https://github.com/apache/incubator-carbondata/blob/
> > > > master/docs/quick-start-guide.md
> > > >
> > > > You can find the latest CarbonData document and learn more at:
> > > > http://carbondata.incubator.apache.org
> > > >
> > > > Thanks
> > > > The Apache CarbonData team
> > > >
> > > > ----
> > > >
> > > > DISCLAIMER
> > > >
> > > > Apache CarbonData is an effort undergoing incubation at the Apache
> > > >
> > > > Software Foundation (ASF), sponsored by the Apache Incubator PMC.
> > > >
> > > >
> > > >
> > > > Incubation is required of all newly accepted projects until a further
> > > >
> > > > review indicates that the infrastructure, communications, and
> decision
> > > >
> > > > making process have stabilized in a manner consistent with other
> > > >
> > > > successful ASF projects.
> > > >
> > > >
> > > >
> > > > While incubation status is not necessarily a reflection of the
> > > >
> > > > completeness or stability of the code, it does indicate that the
> > > >
> > > > project has yet to be fully endorsed by the ASF.
> > > >
> > > >
> > > >
> > > >
> > >
> >
> >
> >
> > --
> > Regards
> > Liang
> >
>



--
Regards
Liang