andygrove commented on PR #424:
URL: https://github.com/apache/datafusion-comet/pull/424#issuecomment-2110428794
I'd like to see the tests use some randomly generated inputs.
As a quick hack, I added the following test to `CometCastSuite` and it shows
some differences in results between Spark and Comet.
```scala
test("xxhash64") {
val input = generateStrings(timestampPattern, 8).toDF("a")
withTempPath { dir =>
val data = roundtripParquet(input, dir).coalesce(1)
data.createOrReplaceTempView("t")
val df = spark.sql(s"select a, xxhash64(a) from t order by a")
checkSparkAnswerAndOperator(df)
}
}
```
Some differences:
```
!== Correct Answer - 1000 == == Spark Answer - 1000 ==
struct<a:string,xxhash64(a):bigint> struct<a:string,xxhash64(a):bigint>
![,-7444071767201028348] [,-1205034819632174695]
![ 23,-1992628079781282865] [ 23,4312780814362028915]
![ 31T3,5857608402363468958] [ 31T3,6089516869931970265]
```
We could extract the `generate*` methods from `CometCastSuite` into a
separate `DataGenerator` class that other test suites can leverage.
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