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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.runtime.executiongraph;
import org.apache.flink.runtime.jobgraph.IntermediateDataSetID;
import java.util.Collections;
import java.util.Map;
import static org.apache.flink.util.Preconditions.checkArgument;
import static org.apache.flink.util.Preconditions.checkNotNull;
/** The parallelism and {@link JobVertexInputInfo}s of a job vertex . */
public class ParallelismAndInputInfos {
private final int parallelism;
private final Map jobVertexInputInfos;
public ParallelismAndInputInfos(
int parallelism, Map jobVertexInputInfos) {
checkArgument(parallelism > 0);
jobVertexInputInfos
.values()
.forEach(
jobVertexInputInfo ->
checkArgument(
jobVertexInputInfo.getExecutionVertexInputInfos().size()
== parallelism));
this.parallelism = parallelism;
this.jobVertexInputInfos = checkNotNull(jobVertexInputInfos);
}
public int getParallelism() {
return parallelism;
}
public Map getJobVertexInputInfos() {
return Collections.unmodifiableMap(jobVertexInputInfos);
}
}
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