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https://issues.apache.org/jira/browse/HIVE-6455?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13933995#comment-13933995
 ] 

Hive QA commented on HIVE-6455:
-------------------------------



{color:red}Overall{color}: -1 at least one tests failed

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12634395/HIVE-6455.16.patch

{color:red}ERROR:{color} -1 due to 14 failed/errored test(s), 5388 tests 
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_auto_sortmerge_join_16
org.apache.hadoop.hive.ql.parse.TestParse.testParse_input1
org.apache.hadoop.hive.ql.parse.TestParse.testParse_input2
org.apache.hadoop.hive.ql.parse.TestParse.testParse_input3
org.apache.hadoop.hive.ql.parse.TestParse.testParse_input6
org.apache.hadoop.hive.ql.parse.TestParse.testParse_input7
org.apache.hadoop.hive.ql.parse.TestParse.testParse_input9
org.apache.hadoop.hive.ql.parse.TestParse.testParse_sample2
org.apache.hadoop.hive.ql.parse.TestParse.testParse_sample3
org.apache.hadoop.hive.ql.parse.TestParse.testParse_sample4
org.apache.hadoop.hive.ql.parse.TestParse.testParse_sample5
org.apache.hadoop.hive.ql.parse.TestParse.testParse_sample6
org.apache.hadoop.hive.ql.parse.TestParse.testParse_sample7
org.apache.hadoop.hive.ql.parse.TestParse.testParse_union
{noformat}

Test results: 
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1765/testReport
Console output: 
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1765/console

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 14 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12634395

> Scalable dynamic partitioning and bucketing optimization
> --------------------------------------------------------
>
>                 Key: HIVE-6455
>                 URL: https://issues.apache.org/jira/browse/HIVE-6455
>             Project: Hive
>          Issue Type: New Feature
>          Components: Query Processor
>    Affects Versions: 0.13.0
>            Reporter: Prasanth J
>            Assignee: Prasanth J
>              Labels: optimization
>         Attachments: HIVE-6455.1.patch, HIVE-6455.1.patch, 
> HIVE-6455.10.patch, HIVE-6455.10.patch, HIVE-6455.11.patch, 
> HIVE-6455.12.patch, HIVE-6455.13.patch, HIVE-6455.13.patch, 
> HIVE-6455.14.patch, HIVE-6455.15.patch, HIVE-6455.16.patch, 
> HIVE-6455.2.patch, HIVE-6455.3.patch, HIVE-6455.4.patch, HIVE-6455.4.patch, 
> HIVE-6455.5.patch, HIVE-6455.6.patch, HIVE-6455.7.patch, HIVE-6455.8.patch, 
> HIVE-6455.9.patch, HIVE-6455.9.patch
>
>
> The current implementation of dynamic partition works by keeping at least one 
> record writer open per dynamic partition directory. In case of bucketing 
> there can be multispray file writers which further adds up to the number of 
> open record writers. The record writers of column oriented file format (like 
> ORC, RCFile etc.) keeps some sort of in-memory buffers (value buffer or 
> compression buffers) open all the time to buffer up the rows and compress 
> them before flushing it to disk. Since these buffers are maintained per 
> column basis the amount of constant memory that will required at runtime 
> increases as the number of partitions and number of columns per partition 
> increases. This often leads to OutOfMemory (OOM) exception in mappers or 
> reducers depending on the number of open record writers. Users often tune the 
> JVM heapsize (runtime memory) to get over such OOM issues. 
> With this optimization, the dynamic partition columns and bucketing columns 
> (in case of bucketed tables) are sorted before being fed to the reducers. 
> Since the partitioning and bucketing columns are sorted, each reducers can 
> keep only one record writer open at any time thereby reducing the memory 
> pressure on the reducers. This optimization is highly scalable as the number 
> of partition and number of columns per partition increases at the cost of 
> sorting the columns.



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