andygrove commented on code in PR #2176:
URL: https://github.com/apache/datafusion-comet/pull/2176#discussion_r2285587793
##########
spark/src/test/scala/org/apache/comet/parquet/ParquetReadSuite.scala:
##########
@@ -86,67 +86,74 @@ abstract class ParquetReadSuite extends CometTestBase {
}
test("unsupported Spark types") {
- // for native iceberg compat, CometScanExec supports some types that
native_comet does not.
- // note that native_datafusion does not use CometScanExec so we need not
include that in
- // the check
- val isDataFusionScan = usingDataSourceExec(conf)
- Seq(
- NullType -> false,
- BooleanType -> true,
- ByteType -> true,
- ShortType -> true,
- IntegerType -> true,
- LongType -> true,
- FloatType -> true,
- DoubleType -> true,
- BinaryType -> true,
- StringType -> true,
- // Timestamp here arbitrary for picking a concrete data type to from
ArrayType
- // Any other type works
- ArrayType(TimestampType) -> isDataFusionScan,
- StructType(
- Seq(
- StructField("f1", DecimalType.SYSTEM_DEFAULT),
- StructField("f2", StringType))) -> isDataFusionScan,
- MapType(keyType = LongType, valueType = DateType) -> isDataFusionScan,
- StructType(
- Seq(StructField("f1", ByteType), StructField("f2", StringType))) ->
isDataFusionScan,
- MapType(keyType = IntegerType, valueType = BinaryType) ->
isDataFusionScan)
- .foreach { case (dt, expected) =>
- val fallbackReasons = new ListBuffer[String]()
- assert(
- CometScanTypeChecker(CometConf.COMET_NATIVE_SCAN_IMPL.get())
- .isTypeSupported(dt, "", fallbackReasons) == expected)
- // usingDataFusionParquetExec does not support CometBatchScanExec yet
- if (!isDataFusionScan) {
- assert(CometBatchScanExec.isTypeSupported(dt, "", fallbackReasons)
== expected)
+ withSQLConf(CometConf.COMET_NATIVE_SCAN_IMPL.key ->
CometConf.SCAN_NATIVE_COMET) {
Review Comment:
@parthchandra could you take another look?
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