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Kafka client whose producer requires explicit encoders.
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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.kafka.common.utils;
import org.apache.kafka.common.TopicPartition;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class CollectionUtils {
/**
* group data by topic
* @param data Data to be partitioned
* @param Partition data type
* @return partitioned data
*/
public static Map> groupDataByTopic(Map data) {
Map> dataByTopic = new HashMap>();
for (Map.Entry entry: data.entrySet()) {
String topic = entry.getKey().topic();
int partition = entry.getKey().partition();
Map topicData = dataByTopic.get(topic);
if (topicData == null) {
topicData = new HashMap();
dataByTopic.put(topic, topicData);
}
topicData.put(partition, entry.getValue());
}
return dataByTopic;
}
/**
* group partitions by topic
* @param partitions
* @return partitions per topic
*/
public static Map> groupDataByTopic(List partitions) {
Map> partitionsByTopic = new HashMap>();
for (TopicPartition tp: partitions) {
String topic = tp.topic();
List topicData = partitionsByTopic.get(topic);
if (topicData == null) {
topicData = new ArrayList();
partitionsByTopic.put(topic, topicData);
}
topicData.add(tp.partition());
}
return partitionsByTopic;
}
}