drexler-sky commented on PR #1923:
URL:
https://github.com/apache/datafusion-comet/pull/1923#issuecomment-3002328767
> ...1 more thing please add tests with empty array.
I tested array_distinct with an empty array.
```
SELECT array_distinct(array()) FROM t1;
== Optimized Logical Plan ==
Project [[] AS array_distinct(array())#240]
+- Relation
[_1#121,_2#122,_3#123,_4#124,_5#125L,_6#126,_7#127,_8#128,_9#129,_10#130,_11#131L,_12#132,_13#133,_14#134,_15#135,_16#136,_17#137,_18#138,_19#139,_20#140,_21#141,_id#142]
parquet
== Physical Plan ==
*(1) Project [[] AS array_distinct(array())#240]
+- *(1) CometColumnarToRow
+- CometScan parquet [] Batched: true, DataFilters: [], Format:
CometParquet, Location: InMemoryFileIndex(1
paths)[file:/private/var/folders/2r/znvj4hhd3t1cp22pmw4m3h_40000gn/T/spark-f9...,
PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>
```
Spark uses an alias, `[] AS array_distinct(array())` , so it doesn't reach
`case _: ArrayDistinct => convert(CometArrayDistinct`
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