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backends-velox/src/test/scala/io/glutenproject/execution/VeloxMetricsSuite.scala
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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 io.glutenproject.execution | ||
|
|
||
| import io.glutenproject.GlutenConfig | ||
|
|
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| import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper | ||
| import org.apache.spark.sql.internal.SQLConf | ||
|
|
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| class VeloxMetricsSuite extends VeloxWholeStageTransformerSuite with AdaptiveSparkPlanHelper { | ||
| override protected val backend: String = "velox" | ||
| override protected val resourcePath: String = "/tpch-data-parquet-velox" | ||
| override protected val fileFormat: String = "parquet" | ||
|
|
||
| override def beforeAll(): Unit = { | ||
| super.beforeAll() | ||
|
|
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| spark | ||
| .range(100) | ||
| .selectExpr("id as c1", "id % 3 as c2") | ||
| .write | ||
| .format("parquet") | ||
| .saveAsTable("metrics_t1") | ||
|
|
||
| spark | ||
| .range(200) | ||
| .selectExpr("id as c1", "id % 3 as c2") | ||
| .write | ||
| .format("parquet") | ||
| .saveAsTable("metrics_t2") | ||
| } | ||
|
|
||
| override protected def afterAll(): Unit = { | ||
| spark.sql("drop table metrics_t1") | ||
| spark.sql("drop table metrics_t2") | ||
|
|
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| super.afterAll() | ||
| } | ||
|
|
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| test("test sort merge join metrics") { | ||
| withSQLConf( | ||
| GlutenConfig.COLUMNAR_FPRCE_SHUFFLED_HASH_JOIN_ENABLED.key -> "false", | ||
| SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") { | ||
| // without preproject | ||
| runQueryAndCompare( | ||
| "SELECT * FROM metrics_t1 join metrics_t2 on metrics_t1.c1 = metrics_t2.c1" | ||
| ) { | ||
| df => | ||
| val smj = find(df.queryExecution.executedPlan) { | ||
| case _: SortMergeJoinExecTransformer => true | ||
| case _ => false | ||
| } | ||
| assert(smj.isDefined) | ||
| val metrics = smj.get.metrics | ||
| assert(metrics("numOutputRows").value == 100) | ||
| assert(metrics("numOutputVectors").value > 0) | ||
| assert(metrics("numOutputBytes").value > 0) | ||
| } | ||
|
|
||
| // with preproject | ||
| runQueryAndCompare( | ||
| "SELECT * FROM metrics_t1 join metrics_t2 on metrics_t1.c1 + 1 = metrics_t2.c1 + 1" | ||
| ) { | ||
| df => | ||
| val smj = find(df.queryExecution.executedPlan) { | ||
| case _: SortMergeJoinExecTransformer => true | ||
| case _ => false | ||
| } | ||
| assert(smj.isDefined) | ||
| val metrics = smj.get.metrics | ||
| assert(metrics("numOutputRows").value == 100) | ||
| assert(metrics("numOutputVectors").value > 0) | ||
| assert(metrics("streamPreProjectionCpuCount").value > 0) | ||
| assert(metrics("bufferPreProjectionCpuCount").value > 0) | ||
| } | ||
| } | ||
| } | ||
|
|
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| test("test shuffle hash join metrics") { | ||
| withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") { | ||
| // without preproject | ||
| runQueryAndCompare( | ||
| "SELECT * FROM metrics_t1 join metrics_t2 on metrics_t1.c1 = metrics_t2.c1" | ||
| ) { | ||
| df => | ||
| val smj = find(df.queryExecution.executedPlan) { | ||
| case _: ShuffledHashJoinExecTransformer => true | ||
| case _ => false | ||
| } | ||
| assert(smj.isDefined) | ||
| val metrics = smj.get.metrics | ||
| assert(metrics("numOutputRows").value == 100) | ||
| assert(metrics("numOutputVectors").value > 0) | ||
| assert(metrics("numOutputBytes").value > 0) | ||
| } | ||
|
|
||
| // with preproject | ||
| runQueryAndCompare( | ||
| "SELECT * FROM metrics_t1 join metrics_t2 on metrics_t1.c1 + 1 = metrics_t2.c1 + 1" | ||
| ) { | ||
| df => | ||
| val smj = find(df.queryExecution.executedPlan) { | ||
| case _: ShuffledHashJoinExecTransformer => true | ||
| case _ => false | ||
| } | ||
| assert(smj.isDefined) | ||
| val metrics = smj.get.metrics | ||
| assert(metrics("numOutputRows").value == 100) | ||
| assert(metrics("numOutputVectors").value > 0) | ||
| assert(metrics("streamPreProjectionCpuCount").value > 0) | ||
| assert(metrics("buildPreProjectionCpuCount").value > 0) | ||
| } | ||
| } | ||
| } | ||
| } |
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