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https://issues.apache.org/jira/browse/SPARK-10946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14989353#comment-14989353
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Apache Spark commented on SPARK-10946:
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User 'somideshmukh' has created a pull request for this issue:
https://github.com/apache/spark/pull/9465
> JDBC - Use Statement.executeUpdate instead of PreparedStatement.executeUpdate
> for DDLs
> --------------------------------------------------------------------------------------
>
> Key: SPARK-10946
> URL: https://issues.apache.org/jira/browse/SPARK-10946
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.0, 1.4.1, 1.5.1
> Reporter: Pallavi Priyadarshini
> Priority: Minor
>
> Certain DataFrame APIs invoke DDLs such as CREATE TABLE and DROP TABLE under
> the covers. Current code in DataFrameWriter and JDBCUtils uses
> PreparedStatement.executeUpdate to issue the DDLs to the DBs. This causes the
> DDLs to fail against couple of databases that do not support prepares of DDLs.
> Can we use Statement.executeUpdate instead of
> PreparedStatement.executeUpdate? DDL is not a repetitive activity, so there
> shouldn't be a performance impact.
> I can submit a PULL request if no one has objections.
> Thanks.
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