org.apache.flink.table.planner.plan.nodes.exec.stream.StreamExecExchange Maven / Gradle / Ivy

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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.
 */

package org.apache.flink.table.planner.plan.nodes.exec.stream;

import org.apache.flink.api.common.ExecutionConfig;
import org.apache.flink.api.dag.Transformation;
import org.apache.flink.streaming.api.transformations.PartitionTransformation;
import org.apache.flink.streaming.runtime.partitioner.GlobalPartitioner;
import org.apache.flink.streaming.runtime.partitioner.KeyGroupStreamPartitioner;
import org.apache.flink.streaming.runtime.partitioner.StreamPartitioner;
import org.apache.flink.table.api.TableException;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.planner.delegation.PlannerBase;
import org.apache.flink.table.planner.plan.nodes.exec.ExecNode;
import org.apache.flink.table.planner.plan.nodes.exec.InputProperty;
import org.apache.flink.table.planner.plan.nodes.exec.InputProperty.HashDistribution;
import org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecExchange;
import org.apache.flink.table.planner.plan.utils.KeySelectorUtil;
import org.apache.flink.table.runtime.keyselector.RowDataKeySelector;
import org.apache.flink.table.runtime.typeutils.InternalTypeInfo;
import org.apache.flink.table.types.logical.RowType;

import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.annotation.JsonCreator;
import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.annotation.JsonProperty;

import java.util.Collections;
import java.util.List;

import static org.apache.flink.runtime.state.KeyGroupRangeAssignment.DEFAULT_LOWER_BOUND_MAX_PARALLELISM;
import static org.apache.flink.util.Preconditions.checkArgument;

/**
 * This {@link ExecNode} represents a change of partitioning of the input elements for stream.
 *
 * TODO Remove this class once FLINK-21224 is finished.
 */
@JsonIgnoreProperties(ignoreUnknown = true)
public class StreamExecExchange extends CommonExecExchange implements StreamExecNode {

    public StreamExecExchange(InputProperty inputProperty, RowType outputType, String description) {
        this(getNewNodeId(), Collections.singletonList(inputProperty), outputType, description);
    }

    @JsonCreator
    public StreamExecExchange(
            @JsonProperty(FIELD_NAME_ID) int id,
            @JsonProperty(FIELD_NAME_INPUT_PROPERTIES) List inputProperties,
            @JsonProperty(FIELD_NAME_OUTPUT_TYPE) RowType outputType,
            @JsonProperty(FIELD_NAME_DESCRIPTION) String description) {
        super(id, inputProperties, outputType, description);
        checkArgument(inputProperties.size() == 1);
    }

    @SuppressWarnings("unchecked")
    @Override
    protected Transformation translateToPlanInternal(PlannerBase planner) {
        final Transformation inputTransform =
                (Transformation) getInputEdges().get(0).translateToPlan(planner);

        final StreamPartitioner partitioner;
        final int parallelism;
        final InputProperty inputProperty = getInputProperties().get(0);
        final InputProperty.DistributionType distributionType =
                inputProperty.getRequiredDistribution().getType();
        switch (distributionType) {
            case SINGLETON:
                partitioner = new GlobalPartitioner<>();
                parallelism = 1;
                break;
            case HASH:
                // TODO Eliminate duplicate keys
                int[] keys = ((HashDistribution) inputProperty.getRequiredDistribution()).getKeys();
                InternalTypeInfo inputType =
                        (InternalTypeInfo) inputTransform.getOutputType();
                RowDataKeySelector keySelector =
                        KeySelectorUtil.getRowDataSelector(keys, inputType);
                partitioner =
                        new KeyGroupStreamPartitioner<>(
                                keySelector, DEFAULT_LOWER_BOUND_MAX_PARALLELISM);
                parallelism = ExecutionConfig.PARALLELISM_DEFAULT;
                break;
            default:
                throw new TableException(
                        String.format("%s is not supported now!", distributionType));
        }

        final Transformation transformation =
                new PartitionTransformation<>(inputTransform, partitioner);
        transformation.setParallelism(parallelism);
        transformation.setOutputType(InternalTypeInfo.of(getOutputType()));
        return transformation;
    }
}