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Date: Tue, 21 Jan 2014 04:21:20 +0000 (UTC)
From: "Hive QA (JIRA)" <jira@apache.org>
To: hive-dev@hadoop.apache.org
Message-ID: <JIRA.12678287.1383936006099.37905.1390278080279@arcas>
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Subject: [jira] [Commented] (HIVE-5783) Native Parquet Support in Hive
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    [ https://issues.apache.org/jira/browse/HIVE-5783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13877171#comment-13877171 ] 

Hive QA commented on HIVE-5783:
-------------------------------


{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/12624023/HIVE-5783.patch

{color:red}ERROR:{color} -1 due to 1 failed/errored test(s), 4977 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.ql.history.TestHiveHistory.testSimpleQuery
{noformat}

Test results: http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/969/testReport
Console output: http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/969/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: 1 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12624023

> Native Parquet Support in Hive
> ------------------------------
>
>                 Key: HIVE-5783
>                 URL: https://issues.apache.org/jira/browse/HIVE-5783
>             Project: Hive
>          Issue Type: New Feature
>          Components: Serializers/Deserializers
>            Reporter: Justin Coffey
>            Assignee: Justin Coffey
>            Priority: Minor
>             Fix For: 0.13.0
>
>         Attachments: HIVE-5783.patch, HIVE-5783.patch, HIVE-5783.patch, HIVE-5783.patch
>
>
> Problem Statement:
> Hive would be easier to use if it had native Parquet support. Our organization, Criteo, uses Hive extensively. Therefore we built the Parquet Hive integration and would like to now contribute that integration to Hive.
> About Parquet:
> Parquet is a columnar storage format for Hadoop and integrates with many Hadoop ecosystem tools such as Thrift, Avro, Hadoop MapReduce, Cascading, Pig, Drill, Crunch, and Hive. Pig, Crunch, and Drill all contain native Parquet integration.
> Changes Details:
> Parquet was built with dependency management in mind and therefore only a single Parquet jar will be added as a dependency.


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