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Vijay Parmar commented on SPARK-14057: -------------------------------------- Hi Andrew, Any updates? Sorry the github link is working. I was missing the last 2 lines of the url. https://github.com/apache/spark/blob/bb3b3627ac3fcd18be7fb07b6d0ba5eae0342fc3/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala#L81-L93 Thanks Vijay > sql time stamps do not respect time zones > ----------------------------------------- > > Key: SPARK-14057 > URL: https://issues.apache.org/jira/browse/SPARK-14057 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.6.0 > Reporter: Andrew Davidson > Priority: Minor > > we have time stamp data. The time stamp data is UTC how ever when we load the > data into spark data frames, the system assume the time stamps are in the > local time zone. This causes problems for our data scientists. Often they > pull data from our data center into their local macs. The data centers run > UTC. There computers are typically in PST or EST. > It is possible to hack around this problem > This cause a lot of errors in their analysis > A complete description of this issue can be found in the following mail msg > https://www.mail-archive.com/user@spark.apache.org/msg48121.html -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org