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Posted to issues@spark.apache.org by "Marco Gaido (JIRA)" <ji...@apache.org> on 2018/08/25 14:48:00 UTC

[jira] [Commented] (SPARK-25193) insert overwrite doesn't throw exception when drop old data fails

    [ https://issues.apache.org/jira/browse/SPARK-25193?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16592609#comment-16592609 ] 

Marco Gaido commented on SPARK-25193:
-------------------------------------

Well, this I think is HIVE-12505. So it would need to be fixed in the hive version which is shipped in Spark...

> insert overwrite doesn't throw exception when drop old data fails
> -----------------------------------------------------------------
>
>                 Key: SPARK-25193
>                 URL: https://issues.apache.org/jira/browse/SPARK-25193
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.2.0
>            Reporter: chen xiao
>            Priority: Major
>
> dataframe.write.mode(SaveMode.Overwrite).insertInto(s"$databaseName.$tableName")
> Insert overwrite mode will drop old data in hive table if there's old data.
> But if data deleting fails, no exception will be thrown and the data folder will be like:
> hdfs://uxs_nbp/nba_score/dt=2018-08-15/seq_num=2/part-00000
> hdfs://uxs_nbp/nba_score/dt=2018-08-15/seq_num=2/part-000001534916642513.
> Two copies of data will be kept.



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