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[FLINK-20515][table-planner-blink] Make BatchExecMultipleInput extend…
…ed only from BatchExecNode and port it to Java This closes apache#14380
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...ain/java/org/apache/flink/table/planner/plan/nodes/exec/batch/BatchExecMultipleInput.java
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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.flink.table.planner.plan.nodes.exec.batch; | ||
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| import org.apache.flink.api.dag.Transformation; | ||
| import org.apache.flink.streaming.api.operators.ChainingStrategy; | ||
| import org.apache.flink.streaming.api.transformations.MultipleInputTransformation; | ||
| import org.apache.flink.table.data.RowData; | ||
| import org.apache.flink.table.planner.delegation.BatchPlanner; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.ExecEdge; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.ExecNode; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.utils.ExecNodeUtil; | ||
| import org.apache.flink.table.runtime.operators.multipleinput.BatchMultipleInputStreamOperatorFactory; | ||
| import org.apache.flink.table.runtime.operators.multipleinput.TableOperatorWrapperGenerator; | ||
| import org.apache.flink.table.runtime.operators.multipleinput.input.InputSpec; | ||
| import org.apache.flink.table.runtime.typeutils.InternalTypeInfo; | ||
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| import org.apache.commons.lang3.tuple.Pair; | ||
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| import java.util.ArrayList; | ||
| import java.util.List; | ||
| import java.util.stream.Collectors; | ||
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| /** | ||
| * Batch exec node for multiple input which contains a sub-graph of {@link ExecNode}s. | ||
| * The root node of the sub-graph is {@link #rootNode}, and the leaf nodes of the sub-graph are | ||
| * the output nodes of the {@link #getInputNodes()}. | ||
| * | ||
| * <p>The following example shows a graph of {@code ExecNode}s with multiple input node: | ||
| * <pre>{@code | ||
| * Sink | ||
| * | | ||
| * +---------+--------+ | ||
| * | | | | ||
| * | Join | | ||
| * | / \ | BatchExecMultipleInput | ||
| * | Agg1 Agg2 | | ||
| * | | | | | ||
| * +----+-------+-----+ | ||
| * | | | ||
| * Exchange1 Exchange2 | ||
| * | | | ||
| * Scan1 Scan2 | ||
| * }</pre> | ||
| * | ||
| * <p>The multiple input node contains three nodes: `Join`, `Agg1` and `Agg2`. | ||
| * `Join` is the root node ({@link #rootNode}) of the sub-graph, | ||
| * `Agg1` and `Agg2` are the leaf nodes of the sub-graph, | ||
| * `Exchange1` and `Exchange2` are the input nodes of the multiple input node. | ||
| */ | ||
| public class BatchExecMultipleInput extends BatchExecNode<RowData> { | ||
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| private final ExecNode<?> rootNode; | ||
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| public BatchExecMultipleInput( | ||
| List<ExecNode<?>> inputNodes, | ||
| List<ExecEdge> inputEdges, | ||
| ExecNode<?> rootNode, | ||
| String description) { | ||
| super(inputNodes, inputEdges, rootNode.getOutputType(), description); | ||
| this.rootNode = rootNode; | ||
| } | ||
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| @Override | ||
| protected Transformation<RowData> translateToPlanInternal(BatchPlanner planner) { | ||
| final List<Transformation<?>> inputTransforms = new ArrayList<>(); | ||
| for (ExecNode<?> input : getInputNodes()) { | ||
| inputTransforms.add(input.translateToPlan(planner)); | ||
| } | ||
| final Transformation<?> outputTransform = rootNode.translateToPlan(planner); | ||
| final int[] readOrders = getInputEdges().stream().map(ExecEdge::getPriority).mapToInt(i -> i).toArray(); | ||
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| final TableOperatorWrapperGenerator generator = new TableOperatorWrapperGenerator( | ||
| inputTransforms, outputTransform, readOrders); | ||
| generator.generate(); | ||
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| final List<Pair<Transformation<?>, InputSpec>> inputTransformAndInputSpecPairs = | ||
| generator.getInputTransformAndInputSpecPairs(); | ||
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| final MultipleInputTransformation<RowData> multipleInputTransform = new MultipleInputTransformation<>( | ||
| getDesc(), | ||
| new BatchMultipleInputStreamOperatorFactory( | ||
| inputTransformAndInputSpecPairs.stream().map(Pair::getValue).collect(Collectors.toList()), | ||
| generator.getHeadWrappers(), | ||
| generator.getTailWrapper()), | ||
| InternalTypeInfo.of(getOutputType()), | ||
| generator.getParallelism()); | ||
| inputTransformAndInputSpecPairs.forEach(input -> multipleInputTransform.addInput(input.getKey())); | ||
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| if (generator.getMaxParallelism() > 0) { | ||
| multipleInputTransform.setMaxParallelism(generator.getMaxParallelism()); | ||
| } | ||
| // set resources | ||
| multipleInputTransform.setResources(generator.getMinResources(), generator.getPreferredResources()); | ||
| long memoryKB = generator.getManagedMemoryWeight(); | ||
| ExecNodeUtil.setManagedMemoryWeight(multipleInputTransform, memoryKB * 1024L); | ||
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| // set chaining strategy for source chaining | ||
| multipleInputTransform.setChainingStrategy(ChainingStrategy.HEAD_WITH_SOURCES); | ||
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| return multipleInputTransform; | ||
| } | ||
| } |
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106 changes: 0 additions & 106 deletions
106
...ala/org/apache/flink/table/planner/plan/nodes/physical/batch/BatchExecMultipleInput.scala
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