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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 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org