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From "Oksana Romankova (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-17914) Spark SQL casting to TimestampType with nanosecond results in incorrect timestamp
Date Thu, 13 Oct 2016 18:17:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-17914?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15572758#comment-15572758
] 

Oksana Romankova commented on SPARK-17914:
------------------------------------------

You are correct. It is related to what has been proposed in SPARK-14428. However, current
behavior is defective. If SPARK-14428 is not going to be approved to be supported, then at
least the defect deserves  consideration to be addressed. 

> Spark SQL casting to TimestampType with nanosecond results in incorrect timestamp
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-17914
>                 URL: https://issues.apache.org/jira/browse/SPARK-17914
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.1
>            Reporter: Oksana Romankova
>
> In some cases when timestamps contain nanoseconds they will be parsed incorrectly. 
> Examples: 
> "2016-05-14T15:12:14.0034567Z" -> "2016-05-14 15:12:14.034567"
> "2016-05-14T15:12:14.000345678Z" -> "2016-05-14 15:12:14.345678"
> The issue seems to be happening in DateTimeUtils.stringToTimestamp(). It assumes that
only 6 digit fraction of a second will be passed.
> With this being the case I would suggest either discarding nanoseconds automatically,
or throw an exception prompting to pre-format timestamps to microsecond precision first before
casting to the Timestamp.



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