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143 changes: 143 additions & 0 deletions
143
...src/main/scala/org/apache/gluten/execution/CHBroadcastNestedLoopJoinExecTransformer.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,143 @@ | ||
| /* | ||
| * 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.gluten.execution | ||
|
|
||
| import org.apache.gluten.backendsapi.BackendsApiManager | ||
|
|
||
| import org.apache.spark.rdd.RDD | ||
| import org.apache.spark.rpc.GlutenDriverEndpoint | ||
| import org.apache.spark.sql.catalyst.expressions.Expression | ||
| import org.apache.spark.sql.catalyst.optimizer.BuildSide | ||
| import org.apache.spark.sql.catalyst.plans.JoinType | ||
| import org.apache.spark.sql.execution.{SparkPlan, SQLExecution} | ||
| import org.apache.spark.sql.execution.joins.{BuildSideRelation, HashJoin} | ||
| import org.apache.spark.sql.types._ | ||
| import org.apache.spark.sql.vectorized.ColumnarBatch | ||
|
|
||
| import com.google.protobuf.{Any, StringValue} | ||
|
|
||
| case class CHBroadcastNestedLoopJoinExecTransformer( | ||
| left: SparkPlan, | ||
| right: SparkPlan, | ||
| buildSide: BuildSide, | ||
| joinType: JoinType, | ||
| condition: Option[Expression]) | ||
| extends BroadcastNestedLoopJoinExecTransformer( | ||
| left, | ||
| right, | ||
| buildSide, | ||
| joinType, | ||
| condition | ||
| ) { | ||
| // Unique ID for builded table | ||
| lazy val buildBroadcastTableId: String = "BuiltBroadcastTable-" + buildPlan.id | ||
|
|
||
| lazy val (buildKeyExprs, streamedKeyExprs) = { | ||
| require( | ||
| leftKeys.length == rightKeys.length && | ||
| leftKeys | ||
| .map(_.dataType) | ||
| .zip(rightKeys.map(_.dataType)) | ||
| .forall(types => sameType(types._1, types._2)), | ||
| "Join keys from two sides should have same length and types" | ||
| ) | ||
| // Spark has an improvement which would patch integer joins keys to a Long value. | ||
| // But this improvement would cause add extra project before hash join in velox, | ||
| // disabling this improvement as below would help reduce the project. | ||
| val (lkeys, rkeys) = if (BackendsApiManager.getSettings.enableJoinKeysRewrite()) { | ||
| (HashJoin.rewriteKeyExpr(leftKeys), HashJoin.rewriteKeyExpr(rightKeys)) | ||
| } else { | ||
| (leftKeys, rightKeys) | ||
| } | ||
| if (needSwitchChildren) { | ||
| (lkeys, rkeys) | ||
| } else { | ||
| (rkeys, lkeys) | ||
| } | ||
| } | ||
|
|
||
| override def columnarInputRDDs: Seq[RDD[ColumnarBatch]] = { | ||
| val streamedRDD = getColumnarInputRDDs(streamedPlan) | ||
| val executionId = sparkContext.getLocalProperty(SQLExecution.EXECUTION_ID_KEY) | ||
| if (executionId != null) { | ||
| GlutenDriverEndpoint.collectResources(executionId, buildBroadcastTableId) | ||
| } else { | ||
| logWarning( | ||
| s"Can't not trace broadcast table data $buildBroadcastTableId" + | ||
| s" because execution id is null." + | ||
| s" Will clean up until expire time.") | ||
| } | ||
| val broadcast = buildPlan.executeBroadcast[BuildSideRelation]() | ||
| val context = | ||
| BroadCastHashJoinContext(Seq.empty, joinType, false, buildPlan.output, buildBroadcastTableId) | ||
| val broadcastRDD = CHBroadcastBuildSideRDD(sparkContext, broadcast, context) | ||
| // FIXME: Do we have to make build side a RDD? | ||
| streamedRDD :+ broadcastRDD | ||
| } | ||
|
|
||
| override protected def withNewChildrenInternal( | ||
| newLeft: SparkPlan, | ||
| newRight: SparkPlan): CHBroadcastNestedLoopJoinExecTransformer = | ||
| copy(left = newLeft, right = newRight) | ||
|
|
||
| def isMixedCondition(cond: Option[Expression]): Boolean = { | ||
| val res = if (cond.isDefined) { | ||
| val leftOutputSet = left.outputSet | ||
| val rightOutputSet = right.outputSet | ||
| val allReferences = cond.get.references | ||
| !(allReferences.subsetOf(leftOutputSet) || allReferences.subsetOf(rightOutputSet)) | ||
| } else { | ||
| false | ||
| } | ||
| res | ||
| } | ||
|
|
||
| def sameType(from: DataType, to: DataType): Boolean = { | ||
| (from, to) match { | ||
| case (ArrayType(fromElement, _), ArrayType(toElement, _)) => | ||
| sameType(fromElement, toElement) | ||
|
|
||
| case (MapType(fromKey, fromValue, _), MapType(toKey, toValue, _)) => | ||
| sameType(fromKey, toKey) && | ||
| sameType(fromValue, toValue) | ||
|
|
||
| case (StructType(fromFields), StructType(toFields)) => | ||
| fromFields.length == toFields.length && | ||
| fromFields.zip(toFields).forall { | ||
| case (l, r) => | ||
| l.name.equalsIgnoreCase(r.name) && | ||
| sameType(l.dataType, r.dataType) | ||
| } | ||
|
|
||
| case (fromDataType, toDataType) => fromDataType == toDataType | ||
| } | ||
| } | ||
|
|
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| override def genJoinParameters(): Any = { | ||
| val joinParametersStr = new StringBuffer("JoinParameters:") | ||
| joinParametersStr | ||
| .append("buildHashTableId=") | ||
| .append(buildBroadcastTableId) | ||
| .append("\n") | ||
| val message = StringValue | ||
| .newBuilder() | ||
| .setValue(joinParametersStr.toString) | ||
| .build() | ||
| BackendsApiManager.getTransformerApiInstance.packPBMessage(message) | ||
| } | ||
|
|
||
| } |
123 changes: 123 additions & 0 deletions
123
...ouse/src/main/scala/org/apache/gluten/metrics/BroadcastNestedLoopJoinMetricsUpdater.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,123 @@ | ||
| /* | ||
| * 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.gluten.metrics | ||
|
|
||
| import org.apache.spark.internal.Logging | ||
| import org.apache.spark.sql.execution.metric.SQLMetric | ||
|
|
||
| class BroadcastNestedLoopJoinMetricsUpdater(val metrics: Map[String, SQLMetric]) | ||
| extends MetricsUpdater | ||
| with Logging { | ||
|
|
||
| override def updateNativeMetrics(opMetrics: IOperatorMetrics): Unit = { | ||
| try { | ||
| if (opMetrics != null) { | ||
| val operatorMetrics = opMetrics.asInstanceOf[OperatorMetrics] | ||
| if (!operatorMetrics.metricsList.isEmpty && operatorMetrics.joinParams != null) { | ||
| val joinParams = operatorMetrics.joinParams | ||
| var currentIdx = operatorMetrics.metricsList.size() - 1 | ||
| var totalTime = 0L | ||
|
|
||
| // build side pre projection | ||
| if (joinParams.buildPreProjectionNeeded) { | ||
| metrics("buildPreProjectionTime") += | ||
| (operatorMetrics.metricsList.get(currentIdx).time / 1000L).toLong | ||
| metrics("outputVectors") += operatorMetrics.metricsList.get(currentIdx).outputVectors | ||
| totalTime += operatorMetrics.metricsList.get(currentIdx).time | ||
| currentIdx -= 1 | ||
| } | ||
|
|
||
| // stream side pre projection | ||
| if (joinParams.streamPreProjectionNeeded) { | ||
| metrics("streamPreProjectionTime") += | ||
| (operatorMetrics.metricsList.get(currentIdx).time / 1000L).toLong | ||
| metrics("outputVectors") += operatorMetrics.metricsList.get(currentIdx).outputVectors | ||
| totalTime += operatorMetrics.metricsList.get(currentIdx).time | ||
| currentIdx -= 1 | ||
| } | ||
|
|
||
| // update fillingRightJoinSideTime | ||
| MetricsUtil | ||
| .getAllProcessorList(operatorMetrics.metricsList.get(currentIdx)) | ||
| .foreach( | ||
| processor => { | ||
| if (processor.name.equalsIgnoreCase("FillingRightJoinSide")) { | ||
| metrics("fillingRightJoinSideTime") += (processor.time / 1000L).toLong | ||
| } | ||
| }) | ||
|
|
||
| // joining | ||
| val joinMetricsData = operatorMetrics.metricsList.get(currentIdx) | ||
| metrics("outputVectors") += joinMetricsData.outputVectors | ||
| metrics("inputWaitTime") += (joinMetricsData.inputWaitTime / 1000L).toLong | ||
| metrics("outputWaitTime") += (joinMetricsData.outputWaitTime / 1000L).toLong | ||
| totalTime += joinMetricsData.time | ||
|
|
||
| MetricsUtil | ||
| .getAllProcessorList(joinMetricsData) | ||
| .foreach( | ||
| processor => { | ||
| if (processor.name.equalsIgnoreCase("FillingRightJoinSide")) { | ||
| metrics("fillingRightJoinSideTime") += (processor.time / 1000L).toLong | ||
| } | ||
| if (processor.name.equalsIgnoreCase("FilterTransform")) { | ||
| metrics("conditionTime") += (processor.time / 1000L).toLong | ||
| } | ||
| if (processor.name.equalsIgnoreCase("JoiningTransform")) { | ||
| metrics("probeTime") += (processor.time / 1000L).toLong | ||
| } | ||
| if ( | ||
| !BroadcastNestedLoopJoinMetricsUpdater.INCLUDING_PROCESSORS.contains( | ||
| processor.name) | ||
| ) { | ||
| metrics("extraTime") += (processor.time / 1000L).toLong | ||
| } | ||
| if ( | ||
| BroadcastNestedLoopJoinMetricsUpdater.CH_PLAN_NODE_NAME.contains(processor.name) | ||
| ) { | ||
| metrics("numOutputRows") += processor.outputRows | ||
| metrics("outputBytes") += processor.outputBytes | ||
| metrics("numInputRows") += processor.inputRows | ||
| metrics("inputBytes") += processor.inputBytes | ||
| } | ||
| }) | ||
|
|
||
| currentIdx -= 1 | ||
|
|
||
| // post projection | ||
| if (joinParams.postProjectionNeeded) { | ||
| metrics("postProjectTime") += | ||
| (operatorMetrics.metricsList.get(currentIdx).time / 1000L).toLong | ||
| metrics("outputVectors") += operatorMetrics.metricsList.get(currentIdx).outputVectors | ||
| totalTime += operatorMetrics.metricsList.get(currentIdx).time | ||
| currentIdx -= 1 | ||
| } | ||
| metrics("totalTime") += (totalTime / 1000L).toLong | ||
| } | ||
| } | ||
| } catch { | ||
| case e: Exception => | ||
| logError(s"Updating native metrics failed due to ${e.getCause}.") | ||
| throw e | ||
| } | ||
| } | ||
| } | ||
|
|
||
| object BroadcastNestedLoopJoinMetricsUpdater { | ||
| val INCLUDING_PROCESSORS = Array("JoiningTransform", "FillingRightJoinSide", "FilterTransform") | ||
| val CH_PLAN_NODE_NAME = Array("JoiningTransform") | ||
| } |
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