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https://issues.apache.org/jira/browse/SPARK-16675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-16675.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14323
[https://github.com/apache/spark/pull/14323]
> Avoid per-record type dispatch in JDBC when writing
> ---------------------------------------------------
>
> Key: SPARK-16675
> URL: https://issues.apache.org/jira/browse/SPARK-16675
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Fix For: 2.1.0
>
>
> This is similar with https://issues.apache.org/jira/browse/SPARK-16351.
> Currently, {{JdbcUtils.savePartition}} is doing type-based dispatch for each
> row to write appropriate values.
> So, appropriate writers can be created first according to the schema, and
> then apply them to each row. This approach is similar with
> {{CatalystWriteSupport}}.
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