Github user wangyum commented on a diff in the pull request: https://github.com/apache/spark/pull/22484#discussion_r220764252 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/SqlBasedBenchmark.scala --- @@ -0,0 +1,87 @@ +/* + * 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, BenchmarkBase} +import org.apache.spark.sql.{AnalysisException, SparkSession} +import org.apache.spark.sql.internal.SQLConf + +/** + * Common base trait to run benchmark with the Dataset and DataFrame API. + */ +trait SqlBasedBenchmark extends BenchmarkBase { + + val spark: SparkSession = getSparkSession + + /** Subclass can override this function to build their own SparkSession */ + def getSparkSession: SparkSession = { + SparkSession.builder() + .master("local[1]") + .appName(this.getClass.getCanonicalName) + .config(SQLConf.SHUFFLE_PARTITIONS.key, 1) + .config(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key, 1) + .getOrCreate() + } + + /** + * Sets all SQL configurations specified in `pairs`, calls `f`, and then restores all SQL + * configurations. + */ + protected def withSQLConf(pairs: (String, String)*)(f: => Unit): Unit = { --- End diff -- @dongjoon-hyun I finished it.
--- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org