Re: [VOTE] Apache CarbonData 1.3.0(RC2) release

[xm_zzc]

Hi dev:
  there are two errors when compile with jdk 1.7, I have raise a pr to fix
these: https://github.com/apache/carbondata/pull/1928 



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Re: [VOTE] Apache CarbonData 1.3.0(RC2) release

[Jacky Li]

+1 
Many good features. Thanks for the great effort from community

Regards,
Jacky

> 在 2018年2月4日，上午8:54，Liang Chen  写道：
> 
> Hi
> 
> +1(binding)
> 
> Regards
> Liang
> 
> 2018-02-04 5:54 GMT+08:00 Ravindra Pesala :
> 
>> Hi
>> 
>> I submit the Apache CarbonData 1.3.0 (RC2) for your vote.
>> 
>> 1.Release Notes:
>> *https://issues.apache.org/jira/secure/ReleaseNote.jspa?
>> projectId=12320220=12341004
>> > projectId=12320220=12341004>*
>> 
>>Some key improvement in this patch release:
>> 
>>   1. Supported Streaming in CarbonData
>>   2. Supported Spark 2.2 version in Carbon.
>>   3. Added Pre-aggregation support to carbon.
>>   4. Supported Time Series (Alpha feature)
>>   5. Supported standard hive type of partitioning in carbon.
>>   6. Added CTAS support in Carbon
>>   7. Support Boolean DataType
>> 
>> 
>> 2. The tag to be voted upon : apache-carbondata-1.3.0-rc2(commit:
>> c055c8f33123bfb6e1103456bea23a0ff8c944ca)
>> *https://github.com/apache/carbondata/releases/tag/
>> apache-carbondata-1.3.0-rc
>> > apache-carbondata-1.2.0-rc2>2*
>> 
>> 3.The artifacts to be voted on are located here:
>> *https://dist.apache.org/repos/dist/dev/carbondata/1.3.0-rc2/
>> *
>> 
>> 4. A staged Maven repository is available for review at:
>> *https://repository.apache.org/content/repositories/
>> orgapachecarbondata-1025/
>> > orgapachecarbondata-1025/>*
>> 
>> 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 1.3.0,  The vote
>> will be open 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 1.3.0
>> [ ] 0 I don't feel strongly about it, but I'm okay with the release
>> [ ] -1 Do not release this package because...
>> 
>> Regards,
>> Ravindra.
>> 
> 
> 
> -- 
> Regards
> Liang

Re: [VOTE] Apache CarbonData 1.3.0(RC2) release

[Liang Chen]

Hi

+1(binding)

Regards
Liang

2018-02-04 5:54 GMT+08:00 Ravindra Pesala :

> Hi
>
> I submit the Apache CarbonData 1.3.0 (RC2) for your vote.
>
> 1.Release Notes:
> *https://issues.apache.org/jira/secure/ReleaseNote.jspa?
> projectId=12320220=12341004
>  projectId=12320220=12341004>*
>
> Some key improvement in this patch release:
>
>1. Supported Streaming in CarbonData
>2. Supported Spark 2.2 version in Carbon.
>3. Added Pre-aggregation support to carbon.
>4. Supported Time Series (Alpha feature)
>5. Supported standard hive type of partitioning in carbon.
>6. Added CTAS support in Carbon
>7. Support Boolean DataType
>
>
>  2. The tag to be voted upon : apache-carbondata-1.3.0-rc2(commit:
> c055c8f33123bfb6e1103456bea23a0ff8c944ca)
> *https://github.com/apache/carbondata/releases/tag/
> apache-carbondata-1.3.0-rc
>  apache-carbondata-1.2.0-rc2>2*
>
> 3.The artifacts to be voted on are located here:
> *https://dist.apache.org/repos/dist/dev/carbondata/1.3.0-rc2/
> *
>
> 4. A staged Maven repository is available for review at:
> *https://repository.apache.org/content/repositories/
> orgapachecarbondata-1025/
>  orgapachecarbondata-1025/>*
>
> 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 1.3.0,  The vote
> will be open 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 1.3.0
> [ ] 0 I don't feel strongly about it, but I'm okay with the release
> [ ] -1 Do not release this package because...
>
> Regards,
> Ravindra.
>



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Regards
Liang

[VOTE] Apache CarbonData 1.3.0(RC2) release

[Ravindra Pesala]

Hi

I submit the Apache CarbonData 1.3.0 (RC2) for your vote.

1.Release Notes:
*https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12320220=12341004
*

Some key improvement in this patch release:

   1. Supported Streaming in CarbonData
   2. Supported Spark 2.2 version in Carbon.
   3. Added Pre-aggregation support to carbon.
   4. Supported Time Series (Alpha feature)
   5. Supported standard hive type of partitioning in carbon.
   6. Added CTAS support in Carbon
   7. Support Boolean DataType


 2. The tag to be voted upon : apache-carbondata-1.3.0-rc2(commit:
c055c8f33123bfb6e1103456bea23a0ff8c944ca)
*https://github.com/apache/carbondata/releases/tag/apache-carbondata-1.3.0-rc
2*

3.The artifacts to be voted on are located here:
*https://dist.apache.org/repos/dist/dev/carbondata/1.3.0-rc2/
*

4. A staged Maven repository is available for review at:
*https://repository.apache.org/content/repositories/orgapachecarbondata-1025/
*

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 1.3.0,  The vote
will be open 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 1.3.0
[ ] 0 I don't feel strongly about it, but I'm okay with the release
[ ] -1 Do not release this package because...

Regards,
Ravindra.

Re: Help, carbondata issues on spark

[Liang Chen]

Hi

1.no multiple levels partitions , we need three levels partitions, like 
year,day,hour 

Reply : Year,day,hour belong to one column(field)  or three columns ?   Can 
you explain, what are your exact scenarios?  we can help you to design 
partition + sort columns to solve your specific query issues. 

2.spark needs import carbondata jar, we wouldn't modify the existing sql 
algorithm 

Reply : No need to modify any sql rules , you can use all sql which be 
supported by SparkSQL to query carbondata. 

3.low stability, insert failure frequently 
Reply : What are the exact error ? 

Regards
Liang

ilegend wrote
> Hi guys 
> We're testing carbondata for our project. The performance of the
> carbondata is better than parquet under the special rules, but there are
> some problems. Do you have any solutions for our issues. 
> Hdfs 2.6, spark 2.1, carbondata 1.3
> 1.no multiple levels partitions , we need three levels partitions, like
> year,day,hour
> 2.spark needs import carbondata jar, we wouldn't modify the existing sql
> algorithm 
> 3.low stability, insert failure frequently 
> 
> Look forward to your reply.
> 
> 发自我的 iPhone





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