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https://issues.apache.org/jira/browse/HIVE-6423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13900635#comment-13900635
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Hive QA commented on HIVE-6423:
-------------------------------



{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/12628618/HIVE-6423.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 5094 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_bucketizedhiveinputformat
org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_bucketmapjoin6
{noformat}

Test results: 
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1311/testReport
Console output: 
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1311/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: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12628618

> Read Timestamps and Dates from Avro files (stored as Strings in ISO format)
> ---------------------------------------------------------------------------
>
>                 Key: HIVE-6423
>                 URL: https://issues.apache.org/jira/browse/HIVE-6423
>             Project: Hive
>          Issue Type: New Feature
>          Components: HiveServer2
>    Affects Versions: 0.12.0
>            Reporter: Nick White
>         Attachments: HIVE-6423.patch
>
>
> Avro doesn't have native timestamp or date data types. Some tools (e.g. 
> apache Sqoop) work around this by adding the java.sql.Types type number as an 
> "sqlType" attribute to the Avro schema JSON field element. The attached patch 
> makes the Avro SerDe look for an sqlType attribute, and if it is a Hive 
> primitive type that's not an Avro primitive type (i.e. timestamp and date) it 
> returns the appropriate Hive type (the one corresponding to the SQL type).



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