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Posted to user@hive.apache.org by Sergey Shelukhin <se...@apache.org> on 2016/05/31 20:39:47 UTC
[ANNOUNCE] Apache Hive 2.0.1 Released
The Apache Hive team is proud to announce the the release of Apache Hive
version 2.0.1.
The Apache Hive (TM) data warehouse software facilitates querying and
managing large datasets residing in distributed storage. Built on top of
Apache Hadoop (TM), it provides:
* Tools to enable easy data extract/transform/load (ETL)
* A mechanism to impose structure on a variety of data formats
* Access to files stored either directly in Apache HDFS (TM) or in other
data storage systems such as Apache HBase (TM)
* Query execution via Apache Hadoop MapReduce and Apache Tez frameworks.
For Hive release details and downloads, please visit:
https://hive.apache.org/downloads.html
Hive 2.0.1 Release Notes are available here:
https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12334886&sty
leName=Text&projectId=12310843
We would like to thank the many contributors who made this release
possible.
Regards,
The Apache Hive Team
Re: [ANNOUNCE] Apache Hive 2.0.1 Released
Posted by Sergey Shelukhin <se...@hortonworks.com>.
Oh. I just copy-pasted the Wiki text, perhaps it should be updated.
From: Mich Talebzadeh <mi...@gmail.com>>
Reply-To: "user@hive.apache.org<ma...@hive.apache.org>" <us...@hive.apache.org>>
Date: Tuesday, May 31, 2016 at 14:01
To: user <us...@hive.apache.org>>
Cc: "dev@hive.apache.org<ma...@hive.apache.org>" <de...@hive.apache.org>>, "announce@apache.org<ma...@apache.org>" <an...@apache.org>>
Subject: Re: [ANNOUNCE] Apache Hive 2.0.1 Released
Thanks Sergey,
Congratulations.
May I add that Hive 0.14 and above can also deploy Spark as its executions engine and with Spark on Hive on Spark execution engine you have a winning combination.
BTW we are just discussing the merits of TEZ + LLAP versus Spark as the execution engine for Spark. With Hive on Spark vs Hive on MapReduce the performance gains are order of magnitude.
HTH
Dr Mich Talebzadeh
LinkedIn https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
http://talebzadehmich.wordpress.com<http://talebzadehmich.wordpress.com/>
On 31 May 2016 at 21:39, Sergey Shelukhin <se...@apache.org>> wrote:
The Apache Hive team is proud to announce the the release of Apache Hive
version 2.0.1.
The Apache Hive (TM) data warehouse software facilitates querying and
managing large datasets residing in distributed storage. Built on top of
Apache Hadoop (TM), it provides:
* Tools to enable easy data extract/transform/load (ETL)
* A mechanism to impose structure on a variety of data formats
* Access to files stored either directly in Apache HDFS (TM) or in other
data storage systems such as Apache HBase (TM)
* Query execution via Apache Hadoop MapReduce and Apache Tez frameworks.
For Hive release details and downloads, please visit:
https://hive.apache.org/downloads.html
Hive 2.0.1 Release Notes are available here:
https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12334886&sty
leName=Text&projectId=12310843
We would like to thank the many contributors who made this release
possible.
Regards,
The Apache Hive Team
Fwd: [ANNOUNCE] Apache Hive 2.0.1 Released
Posted by Mich Talebzadeh <mi...@gmail.com>.
Thanks Sergey,
Congratulations.
May I add that Hive 0.14 and above can also deploy Spark as its executions
engine and with Spark on Hive on Spark execution engine you have a winning
combination.
BTW we are just discussing the merits of TEZ + LLAP versus Spark as the
execution engine for Spark. With Hive on Spark vs Hive on MapReduce the
performance gains are order of magnitude.
HTH
Dr Mich Talebzadeh
LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
<https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
http://talebzadehmich.wordpress.com
On 31 May 2016 at 21:39, Sergey Shelukhin <se...@apache.org> wrote:
> The Apache Hive team is proud to announce the the release of Apache Hive
> version 2.0.1.
>
> The Apache Hive (TM) data warehouse software facilitates querying and
> managing large datasets residing in distributed storage. Built on top of
> Apache Hadoop (TM), it provides:
>
> * Tools to enable easy data extract/transform/load (ETL)
>
> * A mechanism to impose structure on a variety of data formats
>
> * Access to files stored either directly in Apache HDFS (TM) or in other
> data storage systems such as Apache HBase (TM)
>
> * Query execution via Apache Hadoop MapReduce and Apache Tez frameworks.
>
> For Hive release details and downloads, please visit:
> https://hive.apache.org/downloads.html
>
> Hive 2.0.1 Release Notes are available here:
> https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12334886&sty
> leName=Text&projectId=12310843
> <https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12334886&styleName=Text&projectId=12310843>
>
> We would like to thank the many contributors who made this release
> possible.
>
> Regards,
>
> The Apache Hive Team
>
>
>
Re: [ANNOUNCE] Apache Hive 2.0.1 Released
Posted by Sergey Shelukhin <se...@hortonworks.com>.
Oh. I just copy-pasted the Wiki text, perhaps it should be updated.
From: Mich Talebzadeh <mi...@gmail.com>>
Reply-To: "user@hive.apache.org<ma...@hive.apache.org>" <us...@hive.apache.org>>
Date: Tuesday, May 31, 2016 at 14:01
To: user <us...@hive.apache.org>>
Cc: "dev@hive.apache.org<ma...@hive.apache.org>" <de...@hive.apache.org>>, "announce@apache.org<ma...@apache.org>" <an...@apache.org>>
Subject: Re: [ANNOUNCE] Apache Hive 2.0.1 Released
Thanks Sergey,
Congratulations.
May I add that Hive 0.14 and above can also deploy Spark as its executions engine and with Spark on Hive on Spark execution engine you have a winning combination.
BTW we are just discussing the merits of TEZ + LLAP versus Spark as the execution engine for Spark. With Hive on Spark vs Hive on MapReduce the performance gains are order of magnitude.
HTH
Dr Mich Talebzadeh
LinkedIn https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
http://talebzadehmich.wordpress.com<http://talebzadehmich.wordpress.com/>
On 31 May 2016 at 21:39, Sergey Shelukhin <se...@apache.org>> wrote:
The Apache Hive team is proud to announce the the release of Apache Hive
version 2.0.1.
The Apache Hive (TM) data warehouse software facilitates querying and
managing large datasets residing in distributed storage. Built on top of
Apache Hadoop (TM), it provides:
* Tools to enable easy data extract/transform/load (ETL)
* A mechanism to impose structure on a variety of data formats
* Access to files stored either directly in Apache HDFS (TM) or in other
data storage systems such as Apache HBase (TM)
* Query execution via Apache Hadoop MapReduce and Apache Tez frameworks.
For Hive release details and downloads, please visit:
https://hive.apache.org/downloads.html
Hive 2.0.1 Release Notes are available here:
https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12334886&sty
leName=Text&projectId=12310843
We would like to thank the many contributors who made this release
possible.
Regards,
The Apache Hive Team
Re: [ANNOUNCE] Apache Hive 2.0.1 Released
Posted by Mich Talebzadeh <mi...@gmail.com>.
Thanks Sergey,
Congratulations.
May I add that Hive 0.14 and above can also deploy Spark as its executions
engine and with Spark on Hive on Spark execution engine you have a winning
combination.
BTW we are just discussing the merits of TEZ + LLAP versus Spark as the
execution engine for Spark. With Hive on Spark vs Hive on MapReduce the
performance gains are order of magnitude.
HTH
Dr Mich Talebzadeh
LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
<https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
http://talebzadehmich.wordpress.com
On 31 May 2016 at 21:39, Sergey Shelukhin <se...@apache.org> wrote:
> The Apache Hive team is proud to announce the the release of Apache Hive
> version 2.0.1.
>
> The Apache Hive (TM) data warehouse software facilitates querying and
> managing large datasets residing in distributed storage. Built on top of
> Apache Hadoop (TM), it provides:
>
> * Tools to enable easy data extract/transform/load (ETL)
>
> * A mechanism to impose structure on a variety of data formats
>
> * Access to files stored either directly in Apache HDFS (TM) or in other
> data storage systems such as Apache HBase (TM)
>
> * Query execution via Apache Hadoop MapReduce and Apache Tez frameworks.
>
> For Hive release details and downloads, please visit:
> https://hive.apache.org/downloads.html
>
> Hive 2.0.1 Release Notes are available here:
> https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12334886&sty
> leName=Text&projectId=12310843
>
> We would like to thank the many contributors who made this release
> possible.
>
> Regards,
>
> The Apache Hive Team
>
>
>
Re: [ANNOUNCE] Apache Hive 2.0.1 Released
Posted by Mich Talebzadeh <mi...@gmail.com>.
Thanks Sergey,
Congratulations.
May I add that Hive 0.14 and above can also deploy Spark as its executions
engine and with Spark on Hive on Spark execution engine you have a winning
combination.
BTW we are just discussing the merits of TEZ + LLAP versus Spark as the
execution engine for Spark. With Hive on Spark vs Hive on MapReduce the
performance gains are order of magnitude.
HTH
Dr Mich Talebzadeh
LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
<https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
http://talebzadehmich.wordpress.com
On 31 May 2016 at 21:39, Sergey Shelukhin <se...@apache.org> wrote:
> The Apache Hive team is proud to announce the the release of Apache Hive
> version 2.0.1.
>
> The Apache Hive (TM) data warehouse software facilitates querying and
> managing large datasets residing in distributed storage. Built on top of
> Apache Hadoop (TM), it provides:
>
> * Tools to enable easy data extract/transform/load (ETL)
>
> * A mechanism to impose structure on a variety of data formats
>
> * Access to files stored either directly in Apache HDFS (TM) or in other
> data storage systems such as Apache HBase (TM)
>
> * Query execution via Apache Hadoop MapReduce and Apache Tez frameworks.
>
> For Hive release details and downloads, please visit:
> https://hive.apache.org/downloads.html
>
> Hive 2.0.1 Release Notes are available here:
> https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12334886&sty
> leName=Text&projectId=12310843
>
> We would like to thank the many contributors who made this release
> possible.
>
> Regards,
>
> The Apache Hive Team
>
>
>