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add the InsertDynamicPruningFilters rule to plan the DPP filters when…
… enable AQE
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sql/core/src/main/scala/org/apache/spark/sql/execution/SubqueryAdaptiveBroadcastExec.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. | ||
| */ | ||
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| package org.apache.spark.sql.execution | ||
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| import org.apache.spark.rdd.RDD | ||
| import org.apache.spark.sql.catalyst.InternalRow | ||
| import org.apache.spark.sql.catalyst.expressions._ | ||
| import org.apache.spark.sql.execution.exchange.BroadcastExchangeExec | ||
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| case class SubqueryAdaptiveBroadcastExec( | ||
| name: String, | ||
| index: Int, | ||
| buildKeys: Seq[Expression], | ||
| child: SparkPlan, | ||
| exchange: BroadcastExchangeExec) extends BaseSubqueryExec with UnaryExecNode { | ||
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| protected override def doExecute(): RDD[InternalRow] = { | ||
| throw new UnsupportedOperationException( | ||
| "SubqueryAdaptiveBroadcastExec does not support the execute() code path.") | ||
| } | ||
| } |
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64 changes: 64 additions & 0 deletions
64
.../src/main/scala/org/apache/spark/sql/execution/adaptive/InsertDynamicPruningFilters.scala
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| @@ -0,0 +1,64 @@ | ||
| /* | ||
| * 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. | ||
| */ | ||
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| package org.apache.spark.sql.execution.adaptive | ||
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| import scala.collection.concurrent.TrieMap | ||
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| import org.apache.spark.sql.catalyst.expressions.{DynamicPruningExpression, Literal} | ||
| import org.apache.spark.sql.catalyst.rules.Rule | ||
| import org.apache.spark.sql.execution._ | ||
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| case class InsertDynamicPruningFilters( | ||
| stageCache: TrieMap[SparkPlan, QueryStageExec]) extends Rule[SparkPlan] { | ||
| def apply(plan: SparkPlan): SparkPlan = { | ||
| if (!conf.dynamicPartitionPruningEnabled) { | ||
| return plan | ||
| } | ||
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| plan transformAllExpressions { | ||
| case DynamicPruningExpression(InSubqueryExec( | ||
| value, SubqueryAdaptiveBroadcastExec( | ||
| name, index, buildKeys, adaptivePlan: AdaptiveSparkPlanExec, exchange), exprId, _)) => | ||
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| val existingStage = stageCache.get(exchange.canonicalized) | ||
| if (existingStage.nonEmpty && conf.exchangeReuseEnabled) { | ||
| val name = s"dynamicpruning#${exprId.id}" | ||
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| val reuseQueryStage = existingStage.get.newReuseInstance( | ||
| adaptivePlan.stageId, exchange.output) | ||
| adaptivePlan.setStageId(adaptivePlan.stageId + 1) | ||
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| // Set the logical link for the reuse query stage. | ||
| val link = exchange.getTagValue(AdaptiveSparkPlanExec.TEMP_LOGICAL_PLAN_TAG).orElse( | ||
| exchange.logicalLink.orElse(exchange.collectFirst { | ||
| case p if p.getTagValue(AdaptiveSparkPlanExec.TEMP_LOGICAL_PLAN_TAG).isDefined => | ||
| p.getTagValue(AdaptiveSparkPlanExec.TEMP_LOGICAL_PLAN_TAG).get | ||
| case p if p.logicalLink.isDefined => p.logicalLink.get | ||
| })) | ||
| assert(link.isDefined) | ||
| reuseQueryStage.setLogicalLink(link.get) | ||
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| val broadcastValues = | ||
| SubqueryBroadcastExec(name, index, buildKeys, reuseQueryStage) | ||
| DynamicPruningExpression(InSubqueryExec(value, broadcastValues, exprId)) | ||
| } else { | ||
| DynamicPruningExpression(Literal.TrueLiteral) | ||
| } | ||
| } | ||
| } | ||
| } |
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