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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