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I didn't check in which version it regressed, but it worked in v34 and is broken in v37.
It looks like the regression was caused by the specialization of the DistinctCount implementation of AggregateExpr.
To Reproduce
createtablet_sourceasvalues
('2018-11-13T17:11:10.011375885995', 'Row 0', 'X'),
('2011-12-13T11:13:10.12345', 'Row 1', 'X'),
(null, 'Row 2', 'Y'),
('2021-01-01T05:11:10.432', 'Row 3', 'Y');
createtabletasselect
arrow_cast(column1, 'Timestamp(Second, Some("UTC"))') as secs_utc,
column2 as names,
column3 as tag
from t_source;
SELECT tag, count(DISTINCT secs_utc) FROM t GROUP BY tag ORDER BY tag;
Expected behavior
It should work. The error we get is:
External error: query failed: DataFusion error: External error: External error: Arrow error: Invalid argument error: column types must match schema types, expected List(Field { name: "item", data_type: Timestamp(Second, Some("UTC")), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) but found List(Field { name: "item", data_type: Timestamp(Second, None), nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} }) at column index 1
Additional context
No response
The text was updated successfully, but these errors were encountered:
Describe the bug
I didn't check in which version it regressed, but it worked in v34 and is broken in v37.
It looks like the regression was caused by the specialization of the
DistinctCount
implementation ofAggregateExpr
.To Reproduce
Expected behavior
It should work. The error we get is:
Additional context
No response
The text was updated successfully, but these errors were encountered: