[ 
https://issues.apache.org/jira/browse/HIVE-5350?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Phabricator updated HIVE-5350:
------------------------------

    Attachment: D13617.1.patch

navis requested code review of "HIVE-5350 [jira] Cleanup exception handling 
around parallel orderby".

Reviewers: JIRA

HIVE-5350 Cleanup exception handling around parallel orderby

I think we should log the message to the console and the full exception to the 
log:

ExecDriver:

        try {
          handleSampling(driverContext, mWork, job, conf);
          job.setPartitionerClass(HiveTotalOrderPartitioner.class);
        } catch (Exception e) {
          console.printInfo("Not enough sampling data.. Rolling back to single 
reducer task");
          rWork.setNumReduceTasks(1);
          job.setNumReduceTasks(1);
        }

TEST PLAN
  EMPTY

REVISION DETAIL
  https://reviews.facebook.net/D13617

AFFECTED FILES
  ql/src/java/org/apache/hadoop/hive/ql/exec/PartitionKeySampler.java
  ql/src/java/org/apache/hadoop/hive/ql/exec/mr/ExecDriver.java

MANAGE HERALD RULES
  https://reviews.facebook.net/herald/view/differential/

WHY DID I GET THIS EMAIL?
  https://reviews.facebook.net/herald/transcript/41013/

To: JIRA, navis


> Cleanup exception handling around parallel orderby
> --------------------------------------------------
>
>                 Key: HIVE-5350
>                 URL: https://issues.apache.org/jira/browse/HIVE-5350
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Brock Noland
>            Assignee: Navis
>            Priority: Minor
>         Attachments: D13617.1.patch
>
>
> I think we should log the message to the console and the full exception to 
> the log:
> ExecDriver:
> {noformat}
>         try {
>           handleSampling(driverContext, mWork, job, conf);
>           job.setPartitionerClass(HiveTotalOrderPartitioner.class);
>         } catch (Exception e) {
>           console.printInfo("Not enough sampling data.. Rolling back to 
> single reducer task");
>           rWork.setNumReduceTasks(1);
>           job.setNumReduceTasks(1);
>         }
> {noformat}



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