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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-17536) Minor performance improvement to JDBC batch inserts
Date Wed, 14 Sep 2016 16:22:20 GMT

     [ https://issues.apache.org/jira/browse/SPARK-17536?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-17536:
------------------------------------

    Assignee:     (was: Apache Spark)

> Minor performance improvement to JDBC batch inserts
> ---------------------------------------------------
>
>                 Key: SPARK-17536
>                 URL: https://issues.apache.org/jira/browse/SPARK-17536
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: John Muller
>            Priority: Trivial
>              Labels: perfomance
>   Original Estimate: 0.5h
>  Remaining Estimate: 0.5h
>
> JDBC batch inserts currently are set to repeatedly retrieve the number of fields inside
the row iterator:
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala#L598
> val numFields = rddSchema.fields.length
> This value does not change and can be set prior to the loop.



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