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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/10/10 12:14:00 UTC
[jira] [Assigned] (SPARK-33112) Respect
DatabaseMetaData.supportsBatchUpdates in JdbcUtils
[ https://issues.apache.org/jira/browse/SPARK-33112?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-33112:
------------------------------------
Assignee: Apache Spark
> 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
> Assignee: Apache Spark
> 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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