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https://issues.apache.org/jira/browse/SPARK-13667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13667:
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Assignee: Apache Spark
> Support for specifying custom date format for date and timestamp types
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>
> 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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