cloud-fan commented on code in PR #53158:
URL: https://github.com/apache/spark/pull/53158#discussion_r2590304820


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Measure.scala:
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@@ -0,0 +1,60 @@
+/*
+ * 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.spark.sql.catalyst.expressions.aggregate
+
+import org.apache.spark.sql.catalyst.analysis.FunctionRegistry
+import org.apache.spark.sql.catalyst.expressions.{ExpectsInputTypes, 
Expression, ExpressionDescription, UnevaluableAggregateFunc}
+import org.apache.spark.sql.catalyst.trees.TreePattern.{MEASURE, TreePattern}
+import org.apache.spark.sql.catalyst.trees.UnaryLike
+import org.apache.spark.sql.types.{AbstractDataType, AnyDataType, DataType}
+
+// This function serves as an annotation to tell the analyzer to calculate
+// the measures defined in metric views. It cannot be evaluated in execution 
phase
+// and instead it'll be replaced to the actual aggregate functions defined by
+// the measure (as input argument).
+// scalastyle:off line.size.limit
+@ExpressionDescription(
+  usage = "_FUNC_(expr) - this function is used and can only be used to 
calculate a measure defined in a metric view.",
+  examples = """
+    Examples:
+      > SELECT dimension_col, _FUNC_(measure_col)
+        FROM test_metric_view
+        GROUP BY dimension_col;
+      dim_1, 100
+      dim_2, 200
+  """,
+  group = "agg_funcs",
+  since = "4.0.0")

Review Comment:
   ```suggestion
     since = "4.2.0")
   ```



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