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Subject [GitHub] [spark] srowen commented on a change in pull request #25981: [SPARK-28420][SQL] Support the `INTERVAL` type in `date_part()`
Date Tue, 08 Oct 2019 15:24:40 GMT
srowen commented on a change in pull request #25981: [SPARK-28420][SQL] Support the `INTERVAL`
type in `date_part()`

 File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
 @@ -2067,6 +2082,10 @@ object DatePart {
       > SELECT _FUNC_('SECONDS', timestamp'2019-10-01 00:00:01.000001');
+      > SELECT _FUNC_('days', interval 1 year 10 months 5 days);
 Review comment:
   > The entire interval's length is returned for `EPOCH` only, and components for other
`field` values.
   Hm, but then back to the original question; why is the answer not 30 below?
   SELECT _FUNC_('seconds', interval 30 seconds 1 milliseconds 1 microseconds);
   I'm not concerned necessarily about matching PostgreSQL, but am concerned about internal
consistency. Unless I'm really missing something, these two examples here seem to have different
semantics. I understand if you mean it's the natural way to implement this given the representation,
but, I'm not sure that makes it right?
   I think the discussion of `PERIOD` is separate. Here the question is the use case for `date_part`
on an interval. I'm sort of struggling to think of when that's useful, though I accept it
exists in other DBs. Your example doesn't show using `date_part`. I can imagine wanting to
render an interval in given units -- what is the length of this whole interval in seconds?
-- but that's not what this does, nor what the function name seems to imply.
   That's why I'm questioning supporting this at all.

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