/*
* 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.streaming.connectors.kafka.testutils;
import org.apache.flink.api.common.functions.MapFunction;
import java.util.HashSet;
import java.util.Set;
public class PartitionValidatingMapper implements MapFunction<Integer, Integer> {
private static final long serialVersionUID = 1088381231244959088L;
/* the partitions from which this function received data */
private final Set<Integer> myPartitions = new HashSet<>();
private final int numPartitions;
private final int maxPartitions;
public PartitionValidatingMapper(int numPartitions, int maxPartitions) {
this.numPartitions = numPartitions;
this.maxPartitions = maxPartitions;
}
@Override
public Integer map(Integer value) throws Exception {
// validate that the partitioning is identical
int partition = value % numPartitions;
myPartitions.add(partition);
if (myPartitions.size() > maxPartitions) {
throw new Exception("Error: Elements from too many different partitions: " + myPartitions
+ ". Expect elements only from " + maxPartitions + " partitions");
}
return value;
}
}