Kimahriman commented on code in PR #53468:
URL: https://github.com/apache/spark/pull/53468#discussion_r3837364649


##########
sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/ArraySetLikeBenchmark.scala:
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@@ -0,0 +1,85 @@
+/*
+ * 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.execution.benchmark
+
+import org.apache.spark.benchmark.Benchmark
+import org.apache.spark.sql.functions._
+
+/**
+ * Benchmark for measuring perf of array set-like operations.
+ * To run this benchmark:
+ * {{{
+ *   1. without sbt:
+ *      bin/spark-submit --class <this class> --jars <spark core test jar> 
<sql core test jar>
+ *   2. build/sbt "sql/Test/runMain <this class>"
+ *   3. generate result:
+ *      SPARK_GENERATE_BENCHMARK_FILES=1 build/sbt "sql/Test/runMain <this 
class>"
+ *      Results will be written to 
"benchmarks/ArraySetLikeBenchmark-results.txt".
+ * }}}
+ */
+object ArraySetLikeBenchmark extends SqlBasedBenchmark {
+  private val N = 1000L
+
+  override def runBenchmarkSuite(mainArgs: Array[String]): Unit = {
+    val range1 = lit((1 to 20000).map(x => Array(x, x)).toArray)
+    val range2 = lit((10001 to 30000).map(x => Array(x, x)).toArray)
+
+
+    val arrayDistinctBenchmark = new Benchmark("Array Distinct", N, output = 
output)
+    arrayDistinctBenchmark.addCase("array_distinct") { _ =>

Review Comment:
   Benchmark results got lost in the last PR description update, re-added



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