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https://issues.apache.org/jira/browse/HIVE-18810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thejas M Nair resolved HIVE-18810.
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Resolution: Invalid
> Parquet Or ORC
> --------------
>
> Key: HIVE-18810
> URL: https://issues.apache.org/jira/browse/HIVE-18810
> Project: Hive
> Issue Type: Test
> Components: Hive
> Affects Versions: 1.1.0
> Environment: Hadoop 1.2.1
> Hive 1.1
> Reporter: Suddhasatwa Bhaumik
> Priority: Major
>
> Hello Experts,
> I would like to know for which data types (based on size and complexity of
> data) should one be using Parquet or ORC tables in Hive. E.g., On Hadoop
> 0.20.0 with hive 0.13, the performance of ORC tables in Hive is very good
> when accessed even by 3rd party BI systems like SAP Business Objects or
> Tableau; performing the same tests on Hadoop 1.2.1 with Hive 1.1 does not
> yield such reliability in queries, although ETL or insert/update of tables
> are taking nominal time the read performance is not within acceptable limits.
> In case of any queries, kindly advise.
> Thanks
> [~suddhasatwa_bhaumik]
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