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Posted to issues@spark.apache.org by "Navya Krishnappa (JIRA)" <ji...@apache.org> on 2017/09/20 11:37:00 UTC

[jira] [Reopened] (SPARK-22020) Support session local timezone

     [ https://issues.apache.org/jira/browse/SPARK-22020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Navya Krishnappa reopened SPARK-22020:
--------------------------------------

This is not working as expected. Please refer the above-mentioned description

> Support session local timezone
> ------------------------------
>
>                 Key: SPARK-22020
>                 URL: https://issues.apache.org/jira/browse/SPARK-22020
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Navya Krishnappa
>
> 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.
> Input data:
> Date,SparkDate,SparkDate1,SparkDate2
> 04/22/2017T03:30:02,2017-03-21T03:30:02,2017-03-21T03:30:02.02Z,2017-03-21T00:00:00Z
> I have set the below value to set the timeZone to UTC. It is adding the current timeZone value even though it is in the UTC format.
> spark.conf.set("spark.sql.session.timeZone", "UTC")
> Expected : Time should remain same as the input since it's already in UTC format
> var df1 = spark.read.option("delimiter", ",").option("qualifier", "\"").option("inferSchema","true").option("header", "true").option("mode", "PERMISSIVE").option("timestampFormat","MM/dd/yyyy'T'HH:mm:ss.SSS").option("dateFormat", "MM/dd/yyyy'T'HH:mm:ss").csv("DateSpark.csv");
> df1: org.apache.spark.sql.DataFrame = [Name: string, Age: int ... 5 more fields]
> scala> df1.show(false);
> ------------------------------------------------------------------------------
> Name	Age	Add	Date	SparkDate	SparkDate1	SparkDate2
> ------------------------------------------------------------------------------
> abc	21	bvxc	04/22/2017T03:30:02	2017-03-21 03:30:02	2017-03-21 09:00:02.02	2017-03-21 05:30:00
> ------------------------------------------------------------------------------



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