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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2016/03/05 16:18:40 UTC
[jira] [Commented] (SPARK-13699) Spark SQL drops the HIVE table in
"overwrite" mode while writing into table
[ https://issues.apache.org/jira/browse/SPARK-13699?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15181750#comment-15181750 ]
Xiao Li commented on SPARK-13699:
---------------------------------
In RDBMS, I know truncate is much faster than drop-and-then-recreate due to logging issues. How about HIVE?
> Spark SQL drops the HIVE table in "overwrite" mode while writing into table
> ---------------------------------------------------------------------------
>
> Key: SPARK-13699
> URL: https://issues.apache.org/jira/browse/SPARK-13699
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Dhaval Modi
> Priority: Blocker
>
> Hi,
> While writing the dataframe to HIVE table with "SaveMode.Overwrite" option.
> E.g.
> tgtFinal.write.mode(SaveMode.Overwrite).saveAsTable("tgt_table")
> sqlContext drop the table instead of truncating.
> Thanks & Regards,
> Dhaval
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