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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/12/20 12:34:58 UTC

[jira] [Assigned] (SPARK-18943) Avoid per-record type dispatch in CSV when reading

     [ https://issues.apache.org/jira/browse/SPARK-18943?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-18943:
------------------------------------

    Assignee: Apache Spark

> Avoid per-record type dispatch in CSV when reading
> --------------------------------------------------
>
>                 Key: SPARK-18943
>                 URL: https://issues.apache.org/jira/browse/SPARK-18943
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Hyukjin Kwon
>            Assignee: Apache Spark
>
> This is similar with https://issues.apache.org/jira/browse/SPARK-16434
> {{CSVRelation.csvParser}} does type dispatch for each value in each row.
> We can prevent this because the schema is already kept in {{CSVRelation}}.
> So, converters can be created first according to the schema, and then apply them to each.



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