[jira] [Assigned] (SPARK-13667) Support for specifying custom date format for date and timestamp types

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-13667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-13667:
------------------------------------

    Assignee: Apache Spark

> Support for specifying custom date format for date and timestamp types
> ----------------------------------------------------------------------
>
>                 Key: SPARK-13667
>                 URL: https://issues.apache.org/jira/browse/SPARK-13667
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Hyukjin Kwon
>            Assignee: Apache Spark
>            Priority: Minor
>
> Currently, CSV data source does not support to parse date and timestamp types in custom format and infer the type of timestamp type  in custom format.
> It looks quite many of users want this feature. It would be great to set custom date format.
> This was reported in spark-csv.
> https://github.com/databricks/spark-csv/issues/279
> https://github.com/databricks/spark-csv/issues/262
> https://github.com/databricks/spark-csv/issues/266
> Currently I submitted a PR for this in spark-csv
> https://github.com/databricks/spark-csv/pull/280



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