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https://issues.apache.org/jira/browse/SPARK-18350?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-18350:
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Description:
As of Spark 2.1, Spark SQL assumes the machine timezone for datetime
manipulation, which is bad if users are not in the same timezones as the
machines, or if different users have different timezones.
We should introduce a session local timezone setting that is used for execution.
An explicit non-goal is locale handling.
was:
As of Spark 2.1, Spark SQL assumes the machine timezone for datetime
manipulation, which is bad if users are not in the same timezones as the
machines, or if different users have different timezones.
We should introduce a session local timezone setting that is used for execution.
> Support session local timezone
> ------------------------------
>
> Key: SPARK-18350
> URL: https://issues.apache.org/jira/browse/SPARK-18350
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Reporter: Reynold Xin
>
> As of Spark 2.1, Spark SQL assumes the machine timezone for datetime
> manipulation, which is bad if users are not in the same timezones as the
> machines, or if different users have different timezones.
> We should introduce a session local timezone setting that is used for
> execution.
> An explicit non-goal is locale handling.
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