godfreyhe commented on code in PR #21489: URL: https://github.com/apache/flink/pull/21489#discussion_r1057097911
########## flink-table/flink-table-planner/src/main/java/org/apache/flink/table/planner/plan/optimize/program/FlinkDynamicPartitionPruningConverterProgram.java: ########## @@ -0,0 +1,147 @@ +/* + * 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.flink.table.planner.plan.optimize.program; + +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.table.api.config.OptimizerConfigOptions; +import org.apache.flink.table.planner.plan.nodes.physical.batch.BatchPhysicalDynamicFilteringTableSourceScan; +import org.apache.flink.table.planner.plan.nodes.physical.batch.BatchPhysicalTableSourceScan; +import org.apache.flink.table.planner.plan.utils.DefaultRelShuttle; +import org.apache.flink.table.planner.utils.DynamicPartitionPruningUtils; +import org.apache.flink.table.planner.utils.ShortcutUtils; + +import org.apache.calcite.rel.RelNode; +import org.apache.calcite.rel.core.Join; +import org.apache.calcite.rel.core.JoinInfo; +import org.apache.calcite.rel.core.JoinRelType; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; + +/** + * Planner program that tries to do partition prune in the execution phase, which can translate a + * {@link BatchPhysicalTableSourceScan} to a {@link BatchPhysicalDynamicFilteringTableSourceScan} + * whose source is a partition source. The {@link + * OptimizerConfigOptions#TABLE_OPTIMIZER_DYNAMIC_FILTERING_ENABLED} need to be true. + * + * <p>Suppose we have the original physical plan: + * + * <pre>{@code + * LogicalProject(...) + * HashJoin(joinType=[InnerJoin], where=[=(fact_partition_key, dim_key)], select=[xxx]) + * * :- TableSourceScan(table=[[fact]], fields=[xxx, fact_partition_key],) # Is a partition table. + * * +- Exchange(distribution=[broadcast]) + * * +- Calc(select=[xxx], where=[<(xxx, xxx)]) # Need have an arbitrary filter condition. + * * +- TableSourceScan(table=[[dim, filter=[]]], fields=[xxx, dim_key]) + * }</pre> + * + * <p>This physical plan will be rewritten to: + * + * <pre>{@code + * HashJoin(joinType=[InnerJoin], where=[=(fact_partition_key, dim_key)], select=[xxx]) + * :- DynamicFilteringTableSourceScan(table=[[fact]], fields=[xxx, fact_partition_key]) # Is a partition table. + * : +- DynamicFilteringDataCollector(fields=[dim_key]) + * : +- Calc(select=[xxx], where=[<(xxx, xxx)]) + * : +- TableSourceScan(table=[[dim, filter=[]]], fields=[xxx, dim_key]) + * +- Exchange(distribution=[broadcast]) + * +- Calc(select=[xxx], where=[<(xxx, xxx)]) # Need have an arbitrary filter condition. + * +- TableSourceScan(table=[[dim, filter=[]]], fields=[xxx, dim_key]) + * }</pre> + */ +public class FlinkDynamicPartitionPruningConverterProgram + implements FlinkOptimizeProgram<BatchOptimizeContext> { + + @Override + public RelNode optimize(RelNode root, BatchOptimizeContext context) { + DefaultRelShuttle shuttle = + new DefaultRelShuttle() { + @Override + public RelNode visit(RelNode rel) { + if (!(rel instanceof Join)) { + List<RelNode> newInputs = new ArrayList<>(); + for (RelNode input : rel.getInputs()) { + RelNode newInput = input.accept(this); + newInputs.add(newInput); + } + return rel.copy(rel.getTraitSet(), newInputs); + } + Join join = (Join) rel; + if (!ShortcutUtils.unwrapContext(join) + .getTableConfig() + .get( + OptimizerConfigOptions + .TABLE_OPTIMIZER_DYNAMIC_FILTERING_ENABLED)) { + return join; + } + + JoinInfo joinInfo = join.analyzeCondition(); + RelNode leftSide = join.getLeft(); + RelNode rightSide = join.getRight(); + Join newJoin = join; + boolean changed = false; + if (DynamicPartitionPruningUtils.isDimSide(leftSide)) { + if (join.getJoinType() != JoinRelType.RIGHT) { + Tuple2<Boolean, RelNode> relTuple = + DynamicPartitionPruningUtils + .canConvertAndConvertDppFactSide( + rightSide, + joinInfo.rightKeys, + leftSide, + joinInfo.leftKeys, + join); + changed = relTuple.f0; + newJoin = + join.copy( + join.getTraitSet(), + Arrays.asList(leftSide, relTuple.f1.accept(this))); + } + } + if (DynamicPartitionPruningUtils.isDimSide(rightSide)) { Review Comment: if leftSide is dim side, do we need to check the right side agin ? -- This is an automated message from the Apache Git Service. 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