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/*
* 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.SparkSession
import org.apache.spark.sql.catalyst.plans.SQLHelper
import org.apache.spark.sql.internal.SQLConf

/**
* Common base trait to run benchmark with the Dataset and DataFrame API.
*/
trait SqlBasedBenchmark extends BenchmarkBase with SQLHelper {

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()
}

/** Runs function `f` with whole stage codegen on and off. */
def runBenchmarkWithCodegen(name: String, cardinality: Long)(f: => Unit): Unit = {
val benchmark = new Benchmark(name, cardinality, output = output)

benchmark.addCase(s"$name wholestage off", numIters = 2) { _ =>
withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
f
}
}

benchmark.addCase(s"$name wholestage on", numIters = 5) { _ =>
withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "true") {
f
}
}

benchmark.run()
}
}