+1(binding)

LICENSE,NOTICE are ok
no binary file
compile is ok with spark 1.6 and 2.1

*mvn clean -Pspark-1.6 package*
[INFO] Apache CarbonData :: Parent ........................ SUCCESS [
 1.520 s]
[INFO] Apache CarbonData :: Common ........................ SUCCESS [
 2.546 s]
[INFO] Apache CarbonData :: Core .......................... SUCCESS [
44.153 s]
[INFO] Apache CarbonData :: Processing .................... SUCCESS [
 7.531 s]
[INFO] Apache CarbonData :: Hadoop ........................ SUCCESS [
 7.117 s]
[INFO] Apache CarbonData :: Spark Common .................. SUCCESS [
23.700 s]
[INFO] Apache CarbonData :: Spark ......................... SUCCESS [03:37
min]
[INFO] Apache CarbonData :: Spark Common Test ............. SUCCESS [04:51
min]
[INFO] Apache CarbonData :: Assembly ...................... SUCCESS [
 4.476 s]
[INFO] Apache CarbonData :: Spark Examples ................ SUCCESS [
12.540 s]
[INFO] ------------------------------------------------------------
------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------
------------

*mvn clean -Pspark-2.1 package*
[INFO] Apache CarbonData :: Parent ........................ SUCCESS [
 1.884 s]
[INFO] Apache CarbonData :: Common ........................ SUCCESS [
 3.198 s]
[INFO] Apache CarbonData :: Core .......................... SUCCESS [
43.969 s]
[INFO] Apache CarbonData :: Processing .................... SUCCESS [
 8.116 s]
[INFO] Apache CarbonData :: Hadoop ........................ SUCCESS [
 8.413 s]
[INFO] Apache CarbonData :: Spark Common .................. SUCCESS [
26.447 s]
[INFO] Apache CarbonData :: Spark2 ........................ SUCCESS [03:12
min]
[INFO] Apache CarbonData :: Spark Common Test ............. SUCCESS [06:35
min]
[INFO] Apache CarbonData :: Assembly ...................... SUCCESS [
 5.016 s]
[INFO] Apache CarbonData :: Spark2 Examples ............... SUCCESS [
12.147 s]
[INFO]
------------------------------------------------------------------------
[INFO] BUILD SUCCESS


Regards
Liang

2017-05-12 1:08 GMT+08:00 Ravindra Pesala <ravi.pes...@gmail.com>:

> Hi
>
> I submit the Apache CarbonData 1.1.0 (RC3) to your vote.
>
> *1.Release Notes:*https://issues.apache.org/jira/secure/ReleaseNote.
> jspa?projectId=12320220&version=12338987
>
> Key features of this release are highlighted as below.
>
>    -  Introduced new data format called V3 to improve scan performance (~20
>    to 50%).
>    -  Alter table support in carbondata. (Only for Spark 2.1)
>    -  Supported Batch Sort to improve data loading performance.
>    -  Improved Single pass load by upgrading to latest netty framework and
>    launched dictionary client for each loading
>    -  Supported range filters to combine the between filters to one filter
>    to improve the filter performance.
>    -  Many improvements done on large cluster especially in query
>    processing.
>    -  More than 160 bugs and many improvements done in this release.
>    -
>
>  2. The tag to be voted upon : apache-carbondata-1.1.0-rc3
> (commit: 88eb7e0860506bfeea3a08e1605a89dc8d5a4ab6)
>
> *https://github.com/apache/carbondata/commit/
> 88eb7e0860506bfeea3a08e1605a89dc8d5a4ab6
> <https://github.com/apache/carbondata/commit/
> 88eb7e0860506bfeea3a08e1605a89dc8d5a4ab6>*
>
> 3.The artifacts to be voted on are located here: https://dist.apache.org/
> repos/dist/dev/carbondata/1.1.0-rc3/
>
> 4. A staged Maven repository is available for review at:
> https://repository.apache.org/content/repositories/
> orgapachecarbondata-1013
>
> 5. Release artifacts are signed with the following key:
>
> https://people.apache.org/keys/committer/ravipesala.asc
>
>
> Please vote on releasing this package as Apache CarbonData 1.1.0,  The vote
> will beopen for the next 72 hours and passes if a majority of
>
> at least three +1 PMC votes are cast.
>
>
> [ ] +1 Release this package as Apache CarbonData 1.1.0
>
> [ ] 0 I don't feel strongly about it, but I'm okay with the release
>
> [ ] -1 Do not release this package because...
> -------
> Thanks & Regards,
> Ravindra.
>



-- 
Regards
Liang

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