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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/23 03:07:20 UTC

[jira] [Assigned] (SPARK-16675) Avoid per-record type dispatch in JDBC when writing

     [ https://issues.apache.org/jira/browse/SPARK-16675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-16675:
------------------------------------

    Assignee: Apache Spark

> 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: Apache Spark
>
> 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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