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https://issues.apache.org/jira/browse/SPARK-30706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Waldemar updated SPARK-30706:
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Attachment: DateZoneBug.zip
> TimeZone in writing pure date type in CSV output
> ------------------------------------------------
>
> Key: SPARK-30706
> URL: https://issues.apache.org/jira/browse/SPARK-30706
> Project: Spark
> Issue Type: Bug
> Components: Spark Shell
> Affects Versions: 2.4.3
> Reporter: Waldemar
> Priority: Minor
> Attachments: DateZoneBug.zip
>
>
> If I read string date from CSV file, then cast to date type and write into
> CSV file again on the west of Greenwich to csv file again it writes date of
> one day ago. This way making this operation in loop we can get unwillingly
> past date.
> If the spark-shell work on the east of Greenwich all is OK.
> When writing to parquet also is OK.
> Example of code:
> {code:java}
> //
> val test_5_load = "hdfs://192.168.44.161:8020/db/wbiernacki/test_5_load.csv"
> val test_5_save = "hdfs://192.168.44.161:8020/db/wbiernacki/test_5_save.csv"
> val test_5 = spark.read.format("csv")
> .option("header","true")
> .load( test_5_load )
> .withColumn("begin",to_date(col("begin" ),"yyyy-MM-dd"))
> .withColumn("end" ,to_date(col("end" ),"yyyy-MM-dd"))
> test_5.show()
> test_5
> .write.mode("overwrite")
> .format("csv")
> .option("header","true")
> .save( test_5_save )
> {code}
> Please perform this few times.. The test_5_load.csv file looks like:
> {code:java}
> //
> +--------+----------+----------+----+
> | patient| begin| end| new|
> +--------+----------+----------+----+
> |waldemar|2015-09-22|2015-09-23|old1|
> +--------+----------+----------+----+{code}
>
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