andygrove commented on code in PR #1376:
URL: https://github.com/apache/datafusion-comet/pull/1376#discussion_r1946952144
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spark/src/test/scala/org/apache/comet/CometExpressionSuite.scala:
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@@ -125,6 +125,26 @@ class CometExpressionSuite extends CometTestBase with
AdaptiveSparkPlanHelper {
}
}
+ test("uint data type support") {
+ Seq(true, false).foreach { dictionaryEnabled =>
+ Seq(Byte.MaxValue, Short.MaxValue).foreach { valueRanges =>
+ {
+ withTempDir { dir =>
+ val path = new Path(dir.toURI.toString, "testuint.parquet")
+ makeParquetFileAllTypes(path, dictionaryEnabled =
dictionaryEnabled, valueRanges + 1)
+ withParquetTable(path.toString, "tbl") {
+ if
(CometSparkSessionExtensions.isComplexTypeReaderEnabled(conf)) {
+ checkSparkAnswer("select _9, _10 FROM tbl order by _11")
Review Comment:
> As a result we fall back to Spark for both signed and unsigned integers.
Just 8 and 16 bit, or all integers? I'm fine with falling back for 8 and 16
bit for now, although it would be nice to have a config to override this (with
the understanding that behavior is incorrect for unsigned integers).
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