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* 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
*
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package org.apache.flink.runtime.deployment;
import org.apache.flink.runtime.executiongraph.IntermediateResultPartition;
import org.apache.flink.runtime.io.network.partition.ResultPartition;
import org.apache.flink.runtime.io.network.partition.ResultPartitionType;
import org.apache.flink.runtime.jobgraph.IntermediateDataSetID;
import org.apache.flink.runtime.jobgraph.IntermediateResultPartitionID;
import org.apache.flink.runtime.state.KeyGroupRangeAssignment;
import java.io.Serializable;
import static org.apache.flink.util.Preconditions.checkArgument;
import static org.apache.flink.util.Preconditions.checkNotNull;
/**
* Deployment descriptor for a result partition.
*
* @see ResultPartition
*/
public class ResultPartitionDeploymentDescriptor implements Serializable {
private static final long serialVersionUID = 6343547936086963705L;
/** The ID of the result this partition belongs to. */
private final IntermediateDataSetID resultId;
/** The ID of the partition. */
private final IntermediateResultPartitionID partitionId;
/** The type of the partition. */
private final ResultPartitionType partitionType;
/** The number of subpartitions. */
private final int numberOfSubpartitions;
/** The maximum parallelism. */
private final int maxParallelism;
/** Flag whether the result partition should send scheduleOrUpdateConsumer messages. */
private final boolean sendScheduleOrUpdateConsumersMessage;
public ResultPartitionDeploymentDescriptor(
IntermediateDataSetID resultId,
IntermediateResultPartitionID partitionId,
ResultPartitionType partitionType,
int numberOfSubpartitions,
int maxParallelism,
boolean lazyScheduling) {
this.resultId = checkNotNull(resultId);
this.partitionId = checkNotNull(partitionId);
this.partitionType = checkNotNull(partitionType);
KeyGroupRangeAssignment.checkParallelismPreconditions(maxParallelism);
checkArgument(numberOfSubpartitions >= 1);
this.numberOfSubpartitions = numberOfSubpartitions;
this.maxParallelism = maxParallelism;
this.sendScheduleOrUpdateConsumersMessage = lazyScheduling;
}
public IntermediateDataSetID getResultId() {
return resultId;
}
public IntermediateResultPartitionID getPartitionId() {
return partitionId;
}
public ResultPartitionType getPartitionType() {
return partitionType;
}
public int getNumberOfSubpartitions() {
return numberOfSubpartitions;
}
public int getMaxParallelism() {
return maxParallelism;
}
public boolean sendScheduleOrUpdateConsumersMessage() {
return sendScheduleOrUpdateConsumersMessage;
}
@Override
public String toString() {
return String.format("ResultPartitionDeploymentDescriptor [result id: %s, "
+ "partition id: %s, partition type: %s]",
resultId, partitionId, partitionType);
}
// ------------------------------------------------------------------------
public static ResultPartitionDeploymentDescriptor from(
IntermediateResultPartition partition, int maxParallelism, boolean lazyScheduling) {
final IntermediateDataSetID resultId = partition.getIntermediateResult().getId();
final IntermediateResultPartitionID partitionId = partition.getPartitionId();
final ResultPartitionType partitionType = partition.getIntermediateResult().getResultType();
// The produced data is partitioned among a number of subpartitions.
//
// If no consumers are known at this point, we use a single subpartition, otherwise we have
// one for each consuming sub task.
int numberOfSubpartitions = 1;
if (!partition.getConsumers().isEmpty() && !partition.getConsumers().get(0).isEmpty()) {
if (partition.getConsumers().size() > 1) {
throw new IllegalStateException("Currently, only a single consumer group per partition is supported.");
}
numberOfSubpartitions = partition.getConsumers().get(0).size();
}
return new ResultPartitionDeploymentDescriptor(
resultId, partitionId, partitionType, numberOfSubpartitions, maxParallelism, lazyScheduling);
}
}
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