andygrove commented on code in PR #2614:
URL: https://github.com/apache/datafusion-comet/pull/2614#discussion_r2452208360
##########
fuzz-testing/src/main/scala/org/apache/comet/fuzz/Meta.scala:
##########
@@ -35,100 +61,261 @@ object Meta {
(DataTypes.createDecimalType(10, 2), 0.2),
(DataTypes.DateType, 0.2),
(DataTypes.TimestampType, 0.2),
- // TimestampNTZType only in Spark 3.4+
- // (DataTypes.TimestampNTZType, 0.2),
+ (DataTypes.TimestampNTZType, 0.2),
(DataTypes.StringType, 0.2),
(DataTypes.BinaryType, 0.1))
- val stringScalarFunc: Seq[Function] = Seq(
- Function("substring", 3),
- Function("coalesce", 1),
- Function("starts_with", 2),
- Function("ends_with", 2),
- Function("contains", 2),
- Function("ascii", 1),
- Function("bit_length", 1),
- Function("octet_length", 1),
- Function("upper", 1),
- Function("lower", 1),
- Function("chr", 1),
- Function("init_cap", 1),
- Function("trim", 1),
- Function("ltrim", 1),
- Function("rtrim", 1),
- Function("string_space", 1),
- Function("rpad", 2),
- Function("rpad", 3), // rpad can have 2 or 3 arguments
- Function("hex", 1),
- Function("unhex", 1),
- Function("xxhash64", 1),
- Function("sha1", 1),
- // Function("sha2", 1), -- needs a second argument for number of bits
- Function("substring", 3),
- Function("btrim", 1),
- Function("concat_ws", 2),
- Function("repeat", 2),
- Function("length", 1),
- Function("reverse", 1),
- Function("instr", 2),
- Function("replace", 2),
- Function("translate", 2))
-
- val dateScalarFunc: Seq[Function] =
- Seq(Function("year", 1), Function("hour", 1), Function("minute", 1),
Function("second", 1))
+ private def createFunctionWithInputs(name: String, inputs: Seq[SparkType]):
Function = {
+ Function(name, Seq(FunctionSignature(inputs)))
+ }
+ private def createFunctions(name: String, signatures:
Seq[FunctionSignature]): Function = {
+ Function(name, signatures)
+ }
+
+ private def createUnaryStringFunction(name: String): Function = {
+ createFunctionWithInputs(name, Seq(SparkStringType))
+ }
+
+ private def createUnaryNumericFunction(name: String): Function = {
+ createFunctionWithInputs(name, Seq(SparkNumericType))
+ }
+
+ // Math expressions (corresponds to mathExpressions in QueryPlanSerde)
val mathScalarFunc: Seq[Function] = Seq(
Review Comment:
I filed https://github.com/apache/datafusion-comet/issues/2627 for finding a
way to automate this
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