Add benchmark for LongToUnsafeRowMap.

sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/HashedRelationMetricsBenchmark.scala

@@ -0,0 +1,84 @@
+/*
+ * 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.SparkConf
+import org.apache.spark.benchmark.Benchmark
+import org.apache.spark.internal.config.MEMORY_OFFHEAP_ENABLED
+import org.apache.spark.memory.{StaticMemoryManager, TaskMemoryManager}
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.{BoundReference, UnsafeProjection}
+import org.apache.spark.sql.execution.joins.LongToUnsafeRowMap
+import org.apache.spark.sql.types.LongType
+
+/**
+ * Benchmark to measure metrics performance at HashedRelation.
+ * To run this benchmark:
+ * {{{
+ *   1. without sbt: bin/spark-submit --class <this class> <spark sql 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/HashedRelationMetricsBenchmark-results.txt".
+ * }}}
+ */
+object HashedRelationMetricsBenchmark extends SqlBasedBenchmark {
+
+  def benchmarkLongToUnsafeRowMapMetrics(numRows: Int): Unit = {
+    runBenchmark("LongToUnsafeRowMap metrics") {
+      val benchmark = new Benchmark("LongToUnsafeRowMap metrics", numRows, output = output)
+      benchmark.addCase("LongToUnsafeRowMap") { iter =>
+        val taskMemoryManager = new TaskMemoryManager(
+          new StaticMemoryManager(
+            new SparkConf().set(MEMORY_OFFHEAP_ENABLED.key, "false"),
+            Long.MaxValue,
+            Long.MaxValue,
+            1),
+          0)
+        val unsafeProj = UnsafeProjection.create(Seq(BoundReference(0, LongType, false)))
+
+        val keys = Range.Long(0, numRows, 1)
+        val map = new LongToUnsafeRowMap(taskMemoryManager, 1)
+        keys.foreach { k =>
+          map.append(k, unsafeProj(InternalRow(k)))
+        }
+        map.optimize()
+
+        val threads = (0 to 100).map { _ =>
+          val thread = new Thread {
+            override def run: Unit = {
+              val row = unsafeProj(InternalRow(0L)).copy()
+              keys.foreach { k =>
+                assert(map.getValue(k, row) eq row)
+                assert(row.getLong(0) == k)
+              }
+            }
+          }
+          thread.start()
+          thread
+        }
+        threads.map(_.join())
+        map.free()
+      }
+      benchmark.run()
+    }
+  }
+
+  override def runBenchmarkSuite(mainArgs: Array[String]): Unit = {
+    benchmarkLongToUnsafeRowMapMetrics(500000)
+  }
+}