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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/22 03:36:20 UTC

[jira] [Assigned] (SPARK-16674) Avoid per-record type dispatch in JDBC when reading

     [ https://issues.apache.org/jira/browse/SPARK-16674?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-16674:
------------------------------------

    Assignee: Apache Spark

> Avoid per-record type dispatch in JDBC when reading
> ---------------------------------------------------
>
>                 Key: SPARK-16674
>                 URL: https://issues.apache.org/jira/browse/SPARK-16674
>             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-16434
> Currently, {{JDBCRDD.compute}} is doing type dispatch for each row to read appropriate values.
> It might not have to be done like this because the schema is already kept in {{JDBCRDD}}.
> So, appropriate converters can be created first according to the schema, and then apply them to each row.



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