/*
* 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.streams.processor.internals;
import org.apache.kafka.clients.producer.internals.DefaultPartitioner;
import org.apache.kafka.common.Cluster;
import org.apache.kafka.common.serialization.Serializer;
import org.apache.kafka.streams.processor.StreamPartitioner;
public class DefaultStreamPartitioner<K, V> implements StreamPartitioner<K, V> {
private final Serializer<K> keySerializer;
private final Cluster cluster;
private final String topic;
private final DefaultPartitioner defaultPartitioner;
public DefaultStreamPartitioner(final Serializer<K> keySerializer, final Cluster cluster, final String topic) {
this.keySerializer = keySerializer;
this.cluster = cluster;
this.topic = topic;
this.defaultPartitioner = new DefaultPartitioner();
}
@Override
public Integer partition(final K key, final V value, final int numPartitions) {
final byte[] keyBytes = keySerializer.serialize(topic, key);
return defaultPartitioner.partition(topic, key, keyBytes, value, null, cluster);
}
}