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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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