[jira] [Updated] (HIVE-14272) ConditionalResolverMergeFiles should keep staging data on HDFS, then copy (no rename) to S3

["Abdullah Yousufi (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HIVE-14272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Abdullah Yousufi updated HIVE-14272:
------------------------------------
    Assignee: Sergio Peña  (was: Abdullah Yousufi)

> ConditionalResolverMergeFiles should keep staging data on HDFS, then copy (no rename) to S3
> -------------------------------------------------------------------------------------------
>
>                 Key: HIVE-14272
>                 URL: https://issues.apache.org/jira/browse/HIVE-14272
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Sergio Peña
>            Assignee: Sergio Peña
>
> If {{hive.merge.mapfiles}} is True, and the output table to write is on S3, then Hive will generate a conditional plan where smaller files will be merged into larger sizes. 
> If the output files written by the initial MR job are small, then a second MR job is run to merge the output into larger files (a copy from S3 to S3 in the current code).
> If the original output files are large enough, then the conditional task is followed by a move/rename which is very expensive in S3.
> We should keep staging data on HDFS previous to copying them to S3 as final files.



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