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[FLINK-20437][table-planner-blink] Move the utility methods in ExecNo…
…de into ExecNodeUtil
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...link/src/main/java/org/apache/flink/table/planner/plan/nodes/exec/utils/ExecNodeUtil.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:https://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.utils; | ||
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| import org.apache.flink.api.common.typeinfo.TypeInformation; | ||
| import org.apache.flink.api.dag.Transformation; | ||
| import org.apache.flink.core.memory.ManagedMemoryUseCase; | ||
| import org.apache.flink.streaming.api.operators.StreamOperatorFactory; | ||
| import org.apache.flink.streaming.api.transformations.OneInputTransformation; | ||
| import org.apache.flink.streaming.api.transformations.TwoInputTransformation; | ||
| import org.apache.flink.table.api.TableException; | ||
| import org.apache.flink.table.planner.plan.nodes.exec.ExecNode; | ||
|
|
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| import java.util.Optional; | ||
|
|
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| /** | ||
| * An Utility class that helps translating {@link ExecNode} to {@link Transformation}. | ||
| */ | ||
| public class ExecNodeUtil { | ||
|
|
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| /** | ||
| * Set memoryBytes to {@link Transformation#declareManagedMemoryUseCaseAtOperatorScope(ManagedMemoryUseCase, int)}. | ||
| */ | ||
| public static <T> Transformation<T> setManagedMemoryWeight( | ||
| Transformation<T> transformation, | ||
| long memoryBytes) { | ||
| // Using Bytes can easily overflow | ||
| // Using KibiBytes to cast to int | ||
| // Careful about zero | ||
| if (memoryBytes > 0) { | ||
| int memoryKibiBytes = (int) Math.max(1, (memoryBytes >> 10)); | ||
| Optional<Integer> previousWeight = transformation.declareManagedMemoryUseCaseAtOperatorScope( | ||
| ManagedMemoryUseCase.BATCH_OP, memoryKibiBytes); | ||
| if (previousWeight.isPresent()) { | ||
| throw new TableException("Managed memory weight has been set, this should not happen."); | ||
| } | ||
| } | ||
| return transformation; | ||
| } | ||
|
|
||
| /** | ||
| * Create a {@link OneInputTransformation} with memoryBytes. | ||
| */ | ||
| public static <T> OneInputTransformation<T, T> createOneInputTransformation( | ||
| Transformation<T> input, | ||
| String name, | ||
| StreamOperatorFactory<T> operatorFactory, | ||
| TypeInformation<T> outputType, | ||
| int parallelism, | ||
| long memoryBytes) { | ||
| OneInputTransformation<T, T> transformation = new OneInputTransformation<>( | ||
| input, name, operatorFactory, outputType, parallelism); | ||
| setManagedMemoryWeight(transformation, memoryBytes); | ||
| return transformation; | ||
| } | ||
|
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| /** | ||
| * Create a {@link TwoInputTransformation} with memoryBytes. | ||
| */ | ||
| public static <T> TwoInputTransformation<T, T, T> createTwoInputTransformation( | ||
| Transformation<T> input1, | ||
| Transformation<T> input2, | ||
| String name, | ||
| StreamOperatorFactory<T> operatorFactory, | ||
| TypeInformation<T> outputType, | ||
| int parallelism, | ||
| long memoryBytes) { | ||
| TwoInputTransformation<T, T, T> transformation = new TwoInputTransformation<>( | ||
| input1, input2, name, operatorFactory, outputType, parallelism); | ||
| setManagedMemoryWeight(transformation, memoryBytes); | ||
| return transformation; | ||
| } | ||
| } |
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