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https://issues.apache.org/jira/browse/SPARK-30668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17025643#comment-17025643
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Xiao Li commented on SPARK-30668:
---------------------------------

This will make the migration very painful. This is not mentioned in the 
migration guide. It will also generate different query results. Do we have a 
simple way to remove such a behavior change? For example, converting the 
pattern for users?

> to_timestamp failed to parse 2020-01-27T20:06:11.847-0800 using pattern 
> "yyyy-MM-dd'T'HH:mm:ss.SSSz"
> ----------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-30668
>                 URL: https://issues.apache.org/jira/browse/SPARK-30668
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Xiao Li
>            Priority: Blocker
>
> {code:java}
> SELECT to_timestamp("2020-01-27T20:06:11.847-0800", 
> "yyyy-MM-dd'T'HH:mm:ss.SSSz")
> {code}
> This can return a valid value in Spark 2.4 but return NULL in the latest 
> master



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