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https://issues.apache.org/jira/browse/SPARK-48776?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-48776.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 47177
[https://github.com/apache/spark/pull/47177]
> XML, JSON and CSV default timestamp formatting fails for seconds offset
> -----------------------------------------------------------------------
>
> Key: SPARK-48776
> URL: https://issues.apache.org/jira/browse/SPARK-48776
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.5.0, 4.0.0
> Reporter: Milan Stefanovic
> Assignee: Milan Stefanovic
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> Older dates for certain timezones (e.g. America/Los_Angeles) have wierd
> offsets - such as: -07:52:58.
> JSON, XML and CSV default ISO timestamp formatter is using `XXX` for format
> which omits seconds information, so we end up with wrong result.
> example:
> sql("SET spark.sql.session.timeZone=America/Los_Angeles")
> sql("SELECT to_json(struct(CAST('1800-01-01T00:00:00+00:00' AS TIMESTAMP) AS
> ts))").show(false)
> will display:
> {"ts":"1799-12-31T16:07:02.000-07:52"} and hence we will lose 58 seconds
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