chucheng92 commented on code in PR #3459:
URL: https://github.com/apache/calcite/pull/3459#discussion_r1349646490
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core/src/main/java/org/apache/calcite/sql/fun/SqlLibraryOperators.java:
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@@ -1077,6 +1079,38 @@ private static RelDataType
arrayReturnType(SqlOperatorBinding opBinding) {
SqlLibraryOperators::arrayReturnType,
OperandTypes.SAME_VARIADIC);
+ private static RelDataType mapReturnType(SqlOperatorBinding opBinding) {
+ Pair<@Nullable RelDataType, @Nullable RelDataType> type =
+ getComponentTypes(
+ opBinding.getTypeFactory(), opBinding.collectOperandTypes());
+ return SqlTypeUtil.createMapType(
+ opBinding.getTypeFactory(),
+ requireNonNull(type.left, "inferred key type"),
+ requireNonNull(type.right, "inferred value type"),
+ false);
+ }
+
+ private static Pair<@Nullable RelDataType, @Nullable RelDataType>
getComponentTypes(
+ RelDataTypeFactory typeFactory,
+ List<RelDataType> argTypes) {
+ // special case, allows empty map
+ if (argTypes.size() == 0) {
+ return Pair.of(typeFactory.createUnknownType(),
typeFactory.createUnknownType());
Review Comment:
because Spark use UNKNOWN type when it's empty, it's similar with current
spark ARRAY handling. pls see: https://github.com/apache/calcite/pull/3141/files
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