cloud-fan commented on code in PR #38046: URL: https://github.com/apache/spark/pull/38046#discussion_r994202822
########## sql/catalyst/src/test/scala/org/apache/spark/sql/CalendarIntervalBenchmark.scala: ########## @@ -0,0 +1,77 @@ +/* + * 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 + +import org.apache.spark.benchmark.{Benchmark, BenchmarkBase} +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.catalyst.encoders.RowEncoder +import org.apache.spark.sql.catalyst.expressions.UnsafeProjection +import org.apache.spark.sql.types.{CalendarIntervalType, DataType, StructType} +import org.apache.spark.unsafe.types.CalendarInterval + +/** + * Benchmark for read/write CalendarInterval with two int vs + * read/write CalendarInterval with one long. + * To run this benchmark: + * {{{ + * 1. without sbt: + * bin/spark-submit --class <this class> --jars <spark core test jar> <spark catalyst test jar> + * 2. build/sbt "catalyst/Test/runMain <this class>" + * 3. generate result: + * SPARK_GENERATE_BENCHMARK_FILES=1 build/sbt "catalyst/Test/runMain <this class>" + * Results will be written to "benchmarks/CalendarIntervalBenchmark-results.txt". + * }}} + */ +object CalendarIntervalBenchmark extends BenchmarkBase { + + def test(name: String, schema: StructType, numRows: Int, iters: Int): Unit = { + assert(schema.length == 1) + assert(schema.head.dataType.isInstanceOf[CalendarIntervalType]) + runBenchmark(name) { + val generator = RandomDataGenerator.forType(schema, nullable = false).get + val toRow = RowEncoder(schema).createSerializer() + val rows = (1 to numRows).map(_ => toRow(generator().asInstanceOf[Row]).copy()).toArray + + val row = InternalRow.apply(new CalendarInterval(0, 0, 0)) + val unsafeRow = UnsafeProjection.create(Array[DataType](CalendarIntervalType)).apply(row) + + val benchmark = + new Benchmark("CalendarInterval For " + name, iters * numRows.toLong, output = output) + benchmark.addCase("Call setInterval & getInterval") { _: Int => + for (_ <- 0L until iters) { + var i = 0 + while (i < numRows) { + val interval = rows(i).getInterval(0) + unsafeRow.setInterval(0, interval) + val newInterval = unsafeRow.getInterval(0) + assert(interval == newInterval) Review Comment: this is benchmark, we don't need to check result. -- 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. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
