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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-10459) Add materialized views to Hive
Date Thu, 14 May 2015 19:13:59 GMT

    [ https://issues.apache.org/jira/browse/HIVE-10459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14544214#comment-14544214
] 

Hive QA commented on HIVE-10459:
--------------------------------



{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/12732895/HIVE-10459.2.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 8940 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_insert_partition_static
org.apache.hadoop.hive.ql.TestErrorMsg.testUniqueErrorCode
{noformat}

Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3894/testReport
Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/3894/console
Test logs: http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-3894/

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: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12732895 - PreCommit-HIVE-TRUNK-Build

> Add materialized views to Hive
> ------------------------------
>
>                 Key: HIVE-10459
>                 URL: https://issues.apache.org/jira/browse/HIVE-10459
>             Project: Hive
>          Issue Type: Improvement
>            Reporter: Alan Gates
>            Assignee: Alan Gates
>         Attachments: HIVE-10459.2.patch, HIVE-10459.patch
>
>
> Materialized views are useful as ways to store either alternate versions of data (e.g.
same data, different sort order) or derivatives of data sets (e.g. commonly used aggregates).
 It is useful to store these as materialized views rather than as tables because it can give
the optimizer the ability to understand how data sets are related.



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