[VL] Add sort merge join metrics #3920
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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 | ||
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| 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" | ||
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| 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") | ||
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| spark | ||
| .range(200) | ||
| .selectExpr("id as c1", "id % 3 as c2") | ||
| .write | ||
| .format("parquet") | ||
| .saveAsTable("metrics_t2") | ||
| } | ||
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| 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") { | ||
|
There was a problem hiding this comment. @ulysses-you Do we need to add the test with post project? And also add the hash join test for both with pre project and post project? There was a problem hiding this comment. Join always has the post project. The numOutputRows/numOutputVectors metrics are from post project. |
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| 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) | ||
| } | ||
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| // 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) | ||
| } | ||
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| // 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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@ulysses-you What are the differences between stream and buffer? How can they be mapped to the left and right in a sort merge join?
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Merge join only supports inner and left outer, so the steam side is always left child and the buffer side is always right child. It's used to show the metrics pre-project for stream/buffer side.