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https://issues.apache.org/jira/browse/SPARK-33112?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yuya Ebihara updated SPARK-33112:
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Description: Currently, JdbcUtils calls executeBatch regardless of
DatabaseMetaData.supportsBatchUpdates. How about executing "stmt.execute()"
when the JDBC driver doesn't support batch updates as
[https://github.com/apache/spark/pull/30001]? (was: Currently, JdbcUtils calls
executeBatch regardless of DatabaseMetaData.supportsBatchUpdates. How about
executing "stmt.execute()" when the JDBC driver doesn't support batch updates?)
> Respect DatabaseMetaData.supportsBatchUpdates in JdbcUtils
> ----------------------------------------------------------
>
> Key: SPARK-33112
> URL: https://issues.apache.org/jira/browse/SPARK-33112
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.1
> Reporter: Yuya Ebihara
> Priority: Trivial
>
> Currently, JdbcUtils calls executeBatch regardless of
> DatabaseMetaData.supportsBatchUpdates. How about executing "stmt.execute()"
> when the JDBC driver doesn't support batch updates as
> [https://github.com/apache/spark/pull/30001]?
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