yaooqinn commented on a change in pull request #28511: URL: https://github.com/apache/spark/pull/28511#discussion_r426379977
########## File path: sql/hive/src/test/scala/org/apache/spark/sql/execution/benchmark/InsertIntoHiveTableBenchmark.scala ########## @@ -0,0 +1,144 @@ +/* + * 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.SparkSession +import org.apache.spark.sql.hive.HiveUtils +import org.apache.spark.sql.hive.test.TestHive + +/** + * Benchmark to measure hive table write performance. + * To run this benchmark: + * {{{ + * 1. without sbt: bin/spark-submit --class <this class> + * --jars <spark catalyst test jar>,<spark core test jar>,<spark hive jar> + * --packages org.spark-project.hive:hive-exec:1.2.1.spark2 + * <spark hive test jar> + * 2. build/sbt "hive/test:runMain <this class>" -Phive-1.2 or + * build/sbt "hive/test:runMain <this class>" -Phive-2.3 + * 3. generate result: + * SPARK_GENERATE_BENCHMARK_FILES=1 build/sbt "hive/test:runMain <this class>" + * Results will be written to "benchmarks/InsertIntoHiveTableBenchmark-results.txt". + * 4. -Phive-1.2 does not work for JDK 11 + * }}} + */ +object InsertIntoHiveTableBenchmark extends SqlBasedBenchmark { + + override def getSparkSession: SparkSession = TestHive.sparkSession + + val tempTable = "temp" + val numRows = 1024 * 10 + val sql = spark.sql _ + + // scalastyle:off hadoopconfiguration + private val hadoopConf = spark.sparkContext.hadoopConfiguration + // scalastyle:on hadoopconfiguration + hadoopConf.set("hive.exec.dynamic.partition", "true") + hadoopConf.set("hive.exec.dynamic.partition.mode", "nonstrict") + hadoopConf.set("hive.exec.max.dynamic.partitions", numRows.toString) + + def withTempTable(tableNames: String*)(f: => Unit): Unit = { + val ds = spark.range(numRows) + tableNames.foreach { name => + ds.createOrReplaceTempView(name) + } + try f finally tableNames.foreach(spark.catalog.dropTempView) + } + + def withTable(tableNames: String*)(f: => Unit): Unit = { + tableNames.foreach { name => + sql(s"CREATE TABLE $name(a INT) STORED AS TEXTFILE PARTITIONED BY (b INT, c INT)") + } + try f finally { + tableNames.foreach { name => + spark.sql(s"DROP TABLE IF EXISTS $name") + } + } + } + + def insertOverwriteDynamic(table: String, benchmark: Benchmark): Unit = { + benchmark.addCase("INSERT OVERWRITE DYNAMIC") { _ => + sql(s"INSERT OVERWRITE TABLE $table SELECT CAST(id AS INT) AS a," + + s" CAST(id % 10 AS INT) AS b, CAST(id % 100 AS INT) AS c FROM $tempTable DISTRIBUTE BY a") + } + } + + def insertOverwriteHybrid(table: String, benchmark: Benchmark): Unit = { + benchmark.addCase("INSERT OVERWRITE HYBRID") { _ => + sql(s"INSERT OVERWRITE TABLE $table partition(b=1, c) SELECT CAST(id AS INT) AS a," + + s" CAST(id % 10 AS INT) AS c FROM $tempTable DISTRIBUTE BY a") + } + } + + def insertOverwriteStatic(table: String, benchmark: Benchmark): Unit = { + benchmark.addCase("INSERT OVERWRITE STATIC") { _ => + sql(s"INSERT OVERWRITE TABLE $table partition(b=1, c=10) SELECT CAST(id AS INT) AS a" + + s" FROM $tempTable DISTRIBUTE BY a") + } + } + + def insertIntoDynamic(table: String, benchmark: Benchmark): Unit = { + benchmark.addCase("INSERT INTO DYNAMIC") { _ => + sql(s"INSERT INTO TABLE $table SELECT CAST(id AS INT) AS a," + + s" CAST(id % 10 AS INT) AS b, CAST(id % 100 AS INT) AS c FROM $tempTable DISTRIBUTE BY a") + } + } + + def insertIntoHybrid(table: String, benchmark: Benchmark): Unit = { + benchmark.addCase("INSERT INTO HYBRID") { _ => + sql(s"INSERT INTO TABLE $table partition(b=1, c) SELECT CAST(id AS INT) AS a," + + s" CAST(id % 10 AS INT) AS c FROM $tempTable DISTRIBUTE BY a") + } + } + + def insertIntoStatic(table: String, benchmark: Benchmark): Unit = { + benchmark.addCase("INSERT INTO STATIC") { _ => + sql(s"INSERT INTO TABLE $table partition(b=1, c=10) SELECT CAST(id AS INT) AS a" + + s" FROM $tempTable DISTRIBUTE BY a") + } + } + + override def runBenchmarkSuite(mainArgs: Array[String]): Unit = { + withTempTable(tempTable) { + val t1 = "t1" + val t2 = "t2" + val t3 = "t3" + val t4 = "t4" + val t5 = "t5" + val t6 = "t6" + + val benchmark = new Benchmark(s"insert hive table benchmark", numRows, output = output) + + withTable(t1, t2, t3, t4, t5, t6) { + + insertIntoDynamic(t1, benchmark) + insertIntoHybrid(t2, benchmark) + insertIntoStatic(t3, benchmark) + + insertOverwriteDynamic(t4, benchmark) + insertOverwriteHybrid(t5, benchmark) + insertOverwriteStatic(t6, benchmark) + + benchmark.run() + } + } + } + + override def suffix: String = if (HiveUtils.isHive23) "" else "hive1.2" Review comment: OK ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
