[jira] [Created] (SPARK-31982) Spark sequence doesn't handle date increments that cross DST

["Dave DeCaprio (Jira)" <ji...@apache.org>]

Dave DeCaprio created SPARK-31982:
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             Summary: Spark sequence doesn't handle date increments that cross DST
                 Key: SPARK-31982
                 URL: https://issues.apache.org/jira/browse/SPARK-31982
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.4.4
            Reporter: Dave DeCaprio


Run the following query with the Spark default time zone set to "America/Chicago"

 
{code:java}
sequence(cast("2011-03-01" as date), cast("2011-05-01" as date), interval 1 month)
{code}
The result is:

 
{noformat}
[2011-03-01, 2011-03-31, 2011-04-30]{noformat}
I've traced the code what happens is that during this month there is daylight savings and so  the time ends up being 11pm on 3/31 instead of midnight on 4/1.

If you run this with timezone set to GMT or run the sequence functions over months that don't have daylight savings moving forward, it works correctly.

I think this is because the toLong and from long functions are not using a timezone but timestampAddInterval is.  I think the solution is probably to make everything time zone aware, but maybe you can just always use GMT for timestmapAddInterval. 



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