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https://issues.apache.org/jira/browse/SPARK-24116?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16457937#comment-16457937
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Hyukjin Kwon commented on SPARK-24116:
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Can you describe the cases more closely? The logics there are complicated and
it'd be nicer if we know the specific cases.
> 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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