[
https://issues.apache.org/jira/browse/HIVE-9333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14317583#comment-14317583
]
Hive QA commented on HIVE-9333:
-------------------------------
{color:green}Overall{color}: +1 all checks pass
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12698234/HIVE-9333.7.patch
{color:green}SUCCESS:{color} +1 7540 tests passed
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2767/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2767/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-2767/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12698234 - PreCommit-HIVE-TRUNK-Build
> Move parquet serialize implementation to DataWritableWriter to improve write
> speeds
> -----------------------------------------------------------------------------------
>
> Key: HIVE-9333
> URL: https://issues.apache.org/jira/browse/HIVE-9333
> Project: Hive
> Issue Type: Sub-task
> Reporter: Sergio Peña
> Assignee: Sergio Peña
> Attachments: HIVE-9333.5.patch, HIVE-9333.6.patch, HIVE-9333.7.patch
>
>
> The serialize process on ParquetHiveSerDe parses a Hive object
> to a Writable object by looping through all the Hive object children,
> and creating new Writables objects per child. These final writables
> objects are passed in to the Parquet writing function, and parsed again
> on the DataWritableWriter class by looping through the ArrayWritable
> object. These two loops (ParquetHiveSerDe.serialize() and
> DataWritableWriter.write() may be reduced to use just one loop into the
> DataWritableWriter.write() method in order to increment the writing process
> speed for Hive parquet.
> In order to achieve this, we can wrap the Hive object and object inspector
> on ParquetHiveSerDe.serialize() method into an object that implements the
> Writable object and thus avoid the loop that serialize() does, and leave the
> loop parser to the DataWritableWriter.write() method. We can see how ORC does
> this with the OrcSerde.OrcSerdeRow class.
> Writable objects are organized differently on any kind of storage formats, so
> I don't think it is necessary to create and keep the writable objects in the
> serialize() method as they won't be used until the writing process starts
> (DataWritableWriter.write()).
> This performance issue was found using microbenchmark tests from HIVE-8121.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
