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From "Hyukjin Kwon (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-24116) SparkSQL inserting overwrite table has inconsistent behavior regarding HDFS trash
Date Wed, 02 May 2018 03:12:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-24116?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16460473#comment-16460473
] 

Hyukjin Kwon commented on SPARK-24116:
--------------------------------------

[~lirui], mind if I ask a reproducer please?

> SparkSQL inserting overwrite table has inconsistent behavior regarding HDFS trash
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-24116
>                 URL: https://issues.apache.org/jira/browse/SPARK-24116
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Rui Li
>            Priority: Major
>
> When inserting overwrite a table, the old data may or may not go to trash based on:
>  # Date format. E.g. text table may go to trash but parquet table doesn't.
>  # Whether table is partitioned. E.g. partitioned text table doesn't go to trash while
non-partitioned table does.



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