erenavsarogullari commented on code in PR #1271:
URL: https://github.com/apache/datafusion-comet/pull/1271#discussion_r1914195082
##########
spark/src/test/scala/org/apache/comet/CometExpressionSuite.scala:
##########
@@ -2545,4 +2545,20 @@ class CometExpressionSuite extends CometTestBase with
AdaptiveSparkPlanHelper {
}
}
}
+
+ test("array_intersect") {
+ Seq(true, false).foreach { dictionaryEnabled =>
+ withTempDir { dir =>
+ val path = new Path(dir.toURI.toString, "test.parquet")
+ makeParquetFileAllTypes(path, dictionaryEnabled, 10000)
+ spark.read.parquet(path.toString).createOrReplaceTempView("t1")
+ checkSparkAnswerAndOperator(
+ sql("SELECT array_intersect(array(_2, _3, _4), array(_9, _10)) from
t1"))
Review Comment:
Thanks for the review. Updated unit test case. Spark and Comet Physical
Plans are as follows:
Spark Physical Plan:
```
*(1) Project [array_intersect(array(cast(_2#1 as int), cast(_3#2 as int),
_4#3), array(cast(_3#2 as int), _4#3)) AS array_intersect(array(_2, _3, _4),
array(_3, _4))#44]
+- *(1) ColumnarToRow
+- FileScan parquet [_2#1,_3#2,_4#3] Batched: true, DataFilters: [],
Format: Parquet, Location: InMemoryFileIndex(1
paths)[file:/private/var/folders/jq/jhn012m16zzg7dc9lcgbdvjc0000gp/T/spark-97...,
PartitionFilters: [], PushedFilters: [], ReadSchema:
struct<_2:tinyint,_3:smallint,_4:int>
```
Comet Physical Plan:
```
*(1) CometColumnarToRow
+- CometProject [array_intersect(array(_2, _3, _4), array(_3, _4))#49],
[array_intersect(array(cast(_2#1 as int), cast(_3#2 as int), _4#3),
array(cast(_3#2 as int), _4#3)) AS array_intersect(array(_2, _3, _4), array(_3,
_4))#49]
+- CometScan parquet [_2#1,_3#2,_4#3] Batched: true, DataFilters: [],
Format: CometParquet, Location: InMemoryFileIndex(1
paths)[file:/private/var/folders/jq/jhn012m16zzg7dc9lcgbdvjc0000gp/T/spark-97...,
PartitionFilters: [], PushedFilters: [], ReadSchema:
struct<_2:tinyint,_3:smallint,_4:int>
```
Also, the execution result is as follows:
<img width="535" alt="Query Result"
src="https://github.com/user-attachments/assets/2520df45-78c5-47d1-8b0d-77b2780333a0";
/>
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