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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/26 06:19:33 UTC
[jira] [Commented] (SPARK-16216) CSV data source does not write
date and timestamp correctly
[ https://issues.apache.org/jira/browse/SPARK-16216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15349992#comment-15349992 ]
Apache Spark commented on SPARK-16216:
--------------------------------------
User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/13912
> CSV data source does not write date and timestamp correctly
> -----------------------------------------------------------
>
> Key: SPARK-16216
> URL: https://issues.apache.org/jira/browse/SPARK-16216
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Hyukjin Kwon
> Priority: Minor
>
> Currently, CSV data source write {{DateType}} and {{TimestampType}} as below:
> {code}
> +----------------+
> | date|
> +----------------+
> |1440637200000000|
> |1414459800000000|
> |1454040000000000|
> +----------------+
> {code}
> It would be nicer if it write dates and timestamps as a formatted string just like JSON data sources.
> Also, CSV data source currently supports {{dateFormat}} option to read dates and timestamps in a custom format. It might be better if this option can be applied in writing as well.
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