Spark timestamp format with timezone issue

gigives 0
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I have code:

timestampFormat="yyy-MM-dd'T'HH:mm:ssXXX"

or

timestampFormat="yyy-MM-dd'T'HH:mm:ssZZZZZ"
Dataset<Row> inputDataFrame = spark.read()
            .format("CSV")
            .option("timestampFormat", timestampFormat)
            .load(path/file);

The value 2022-04-05T08:19:00+00:00 is loaded into the hive table as 05.04.2022 10:19:00. There is 2 hours difference. It should be 05.04.2022 08:19:00. Can someone tell me what kind of format should I use?

timestamp hive java apache-spark
1 Answers

You can set spark sql session timezone like below & rerun the job.

--conf "spark.sql.session.timeZone=UTC" // Change it your timezone.

or

spark.conf.set("spark.sql.session.timeZone", "UTC") // Change it your timezone.
user4z3A0
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