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https://issues.apache.org/jira/browse/SPARK-16216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15596382#comment-15596382
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Barry Becker commented on SPARK-16216:
--------------------------------------
Yes, That worked. Thanks for the workaround!
If I use
.option("timestampFormat", "yyyy-MM-dd'T'HH:mm:ss")
instead of
.option("dateFormat", "yyyy-MM-dd'T'HH:mm:ss")
Then my test passes, and it has the behavior that I want.
> 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
> Assignee: Hyukjin Kwon
> Priority: Blocker
> Labels: releasenotes
> Fix For: 2.0.1, 2.1.0
>
>
> 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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