[ https://issues.apache.org/jira/browse/SPARK-33112?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yuya Ebihara updated SPARK-33112: --------------------------------- 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]? -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org