yashmayya commented on code in PR #14089:
URL: https://github.com/apache/pinot/pull/14089#discussion_r1777085061


##########
pinot-common/src/main/java/org/apache/pinot/common/function/scalar/arithmetic/PolymorphicBinaryArithmeticScalarFunction.java:
##########
@@ -0,0 +1,72 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.pinot.common.function.scalar.arithmetic;
+
+import javax.annotation.Nullable;
+import org.apache.pinot.common.function.FunctionInfo;
+import org.apache.pinot.common.function.PinotScalarFunction;
+import org.apache.pinot.common.utils.DataSchema.ColumnDataType;
+
+
+/**
+ * Base class for polymorphic binary arithmetic scalar functions
+ */
+public abstract class PolymorphicBinaryArithmeticScalarFunction implements 
PinotScalarFunction {
+
+  @Nullable
+  @Override
+  public FunctionInfo getFunctionInfo(ColumnDataType[] argumentTypes) {
+    if (argumentTypes.length != 2) {
+      return null;
+    }
+
+    return functionInfoForTypes(argumentTypes[0].getStoredType(), 
argumentTypes[1].getStoredType());
+  }
+
+  @Nullable
+  @Override
+  public FunctionInfo getFunctionInfo(int numArguments) {
+    if (numArguments != 2) {
+      return null;
+    }
+
+    // For backward compatibility
+    return functionInfoForType(ColumnDataType.DOUBLE);
+  }
+
+  private FunctionInfo functionInfoForTypes(ColumnDataType argumentType1, 
ColumnDataType argumentType2) {
+    if (argumentType1 == ColumnDataType.DOUBLE || argumentType2 == 
ColumnDataType.DOUBLE
+        || argumentType1 == ColumnDataType.FLOAT || argumentType2 == 
ColumnDataType.FLOAT) {
+      return functionInfoForType(ColumnDataType.DOUBLE);
+    }

Review Comment:
   This check isn't strictly necessary since we're falling back to double based 
comparison anyway but I started writing it this way since we could potentially 
add more types and type combinations here in the future.



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