[SPARK-13667] Support for specifying custom date format for date and timestamp types

• Type: Sub-task
• Status: Resolved
• Priority: Minor
• Resolution: Fixed
• Fix Version/s: 2.0.0
• Component/s: SQL
• Target Version/s: 2.0.0
• Assignee: Hyukjin Kwon
• Reporter: Hyukjin Kwon
• Created: 04/Mar/16 04:26
• Updated: 12/Dec/22 17:50
• Resolved: 30/Apr/16 05:52

Description

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

Issue Links

• links to: [Github] Pull Request #11550 (HyukjinKwon)