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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/15 08:46:02 UTC

[jira] [Updated] (SPARK-16239) SQL issues with cast from date to string around daylight savings time

     [ https://issues.apache.org/jira/browse/SPARK-16239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-16239:
---------------------------------
    Priority: Major  (was: Critical)

> SQL issues with cast from date to string around daylight savings time
> ---------------------------------------------------------------------
>
>                 Key: SPARK-16239
>                 URL: https://issues.apache.org/jira/browse/SPARK-16239
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.1
>            Reporter: Glen Maisey
>            Priority: Major
>
> Hi all,
> I have a dataframe with a date column. When I cast to a string using the spark sql cast function it converts it to the wrong date on certain days. Looking into it, it occurs once a year when summer daylight savings starts.
> I've tried to show this issue the code below. The toString() function works correctly whereas the cast does not.
> Unfortunately my users are using SQL code rather than scala dataframes and therefore this workaround does not apply. This was actually picked up where a user was writing something like "SELECT date1 UNION ALL select date2" where date1 was a string and date2 was a date type. It must be implicitly converting the date to a string which gives this error.
> I'm in the Australia/Sydney timezone (see the time changes here http://www.timeanddate.com/time/zone/australia/sydney) 
> val dates = Array("2014-10-03","2014-10-04","2014-10-05","2014-10-06","2015-10-02","2015-10-03", "2015-10-04", "2015-10-05")
> val df = sc.parallelize(dates)
>             .toDF("txn_date")
>             .select(col("txn_date").cast("Date"))
> df.select(
>         col("txn_date"),
>         col("txn_date").cast("Timestamp").alias("txn_date_timestamp"),
>         col("txn_date").cast("String").alias("txn_date_str_cast"),
>         col("txn_date".toString()).alias("txn_date_str_toString")
>         )
>     .show()
> +----------+--------------------+-----------------+---------------------+
> |  txn_date|  txn_date_timestamp|txn_date_str_cast|txn_date_str_toString|
> +----------+--------------------+-----------------+---------------------+
> |2014-10-03|2014-10-02 14:00:...|       2014-10-03|           2014-10-03|
> |2014-10-04|2014-10-03 14:00:...|       2014-10-04|           2014-10-04|
> |2014-10-05|2014-10-04 13:00:...|       2014-10-04|           2014-10-05|
> |2014-10-06|2014-10-05 13:00:...|       2014-10-06|           2014-10-06|
> |2015-10-02|2015-10-01 14:00:...|       2015-10-02|           2015-10-02|
> |2015-10-03|2015-10-02 14:00:...|       2015-10-03|           2015-10-03|
> |2015-10-04|2015-10-03 13:00:...|       2015-10-03|           2015-10-04|
> |2015-10-05|2015-10-04 13:00:...|       2015-10-05|           2015-10-05|
> +----------+--------------------+-----------------+---------------------+



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