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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/03/07 02:20:40 UTC
[jira] [Commented] (SPARK-13667) Support for specifying custom date
format for date and timestamp types
[ https://issues.apache.org/jira/browse/SPARK-13667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15182431#comment-15182431 ]
Apache Spark commented on SPARK-13667:
--------------------------------------
User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/11550
> 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
> 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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