Fix DistinctCount for timestamps with time zone #10043
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Preserve the original data type in the aggregation state
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| dt @ Decimal256(_, _) => Box::new( | ||
| PrimitiveDistinctCountAccumulator::<Decimal256Type>::new() | ||
| .with_data_type(dt.clone()), | ||
| ), |
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Can you add the test for decimal too?
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I expect the test that shows the change is needed. If this change is removed, it failed.
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It is clear for me the change for timestamp with timezone, but I'm not sure about the decimal one.
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I can show that for Decimal128 (not sure why it doesn't trigger for Decimal256). But it's better to be consistent, losing the data type might lead to unexpected consequences.
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| Timestamp(Second, _) => { | ||
| Box::new(PrimitiveDistinctCountAccumulator::<TimestampSecondType>::new()) | ||
| } | ||
| dt @ Timestamp(Microsecond, _) => Box::new( |
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I wonder if we should defensively always set with_data_type to PrimitiveDistinctCountAccumulator 🤔
I tried to come up with other DataType that doesn't have a 1:1 mapping to its ArrowPrimitiveType and I don't think there is one, but always supplying the data_type might be a more defensive pattern
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I was wondering the same. Let me know what you prefer?
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How about we do it as a follow on PR? I would like to merge this one asap as it fixes a regression
* Fix DistinctCount for timestamps with time zone Preserve the original data type in the aggregation state * Add tests for decimal count distinct
* Fix DistinctCount for timestamps with time zone (apache#10043) * Fix DistinctCount for timestamps with time zone Preserve the original data type in the aggregation state * Add tests for decimal count distinct * Fix with_new_children for EmptyExec
* Fix DistinctCount for timestamps with time zone Preserve the original data type in the aggregation state * Add tests for decimal count distinct
* Fix DistinctCount for timestamps with time zone Preserve the original data type in the aggregation state * Add tests for decimal count distinct
Which issue does this PR close?
Closes #10042
Rationale for this change
Fixing a regression.
What changes are included in this PR?
Preserve the original data type in the aggregation state.
Are these changes tested?
Tested in SLT.
Are there any user-facing changes?
Internal changes only.