tanelk opened a new pull request #29810:
URL: https://github.com/apache/spark/pull/29810
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### What changes were proposed in this pull request?
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Collect, first and last have mistakenly been marked as non-deterministic.
They are actually deterministic iff their child expression is deterministic.
For example collect was marked as non-deterministic in #14749. The reasoning
was that its output depends on the actual order of input rows. Although it is
correct that these aggregators depend on the order of input rows, it does not
make them non-deterministic.
In `EliminateSorts` optimizer rule, there is a method
`isOrderIrrelevantAggs`, that lists all aggregators that do not depend on their
input row order. Collect, first and last are correctly not listed there.
An aggregator would be non-deterministic if its output for a group would
depend on previous groups it has aggregated - I can't think of any practical
examples of this kind of aggregator in Spark.
An analogous aggregator to these would be sum on float and double datatype
- its result does depend on the order of its inputs, but is deterministic.
### Why are the changes needed?
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The optimizer rule `PushPredicateThroughNonJoin` can work in more cases.
### Does this PR introduce _any_ user-facing change?
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No
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