kafka DefaultStreamPartitioner 源码
kafka DefaultStreamPartitioner 代码
文件路径:/streams/src/main/java/org/apache/kafka/streams/processor/internals/DefaultStreamPartitioner.java
/*
* 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.BuiltInPartitioner;
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;
public DefaultStreamPartitioner(final Serializer<K> keySerializer) {
this.keySerializer = keySerializer;
}
@Override
public Integer partition(final String topic, final K key, final V value, final int numPartitions) {
final byte[] keyBytes = keySerializer.serialize(topic, key);
// if the key bytes are not available, we just return null to let the producer to decide
// which partition to send internally; otherwise stick with the same built-in partitioner
// util functions that producer used to make sure its behavior is consistent with the producer
if (keyBytes == null) {
return null;
} else {
return BuiltInPartitioner.partitionForKey(keyBytes, numPartitions);
}
}
}
相关信息
相关文章
kafka AbstractProcessorContext 源码
kafka AbstractReadOnlyDecorator 源码
kafka AbstractReadWriteDecorator 源码
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦