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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:13:49 UTC
[jira] [Resolved] (SPARK-24116) SparkSQL inserting overwrite table
has inconsistent behavior regarding HDFS trash
[ https://issues.apache.org/jira/browse/SPARK-24116?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-24116.
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Resolution: Incomplete
> 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
> Labels: bulk-closed
>
> 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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