kafka WindowedStreamPartitioner 源码
kafka WindowedStreamPartitioner 代码
文件路径:/streams/src/main/java/org/apache/kafka/streams/kstream/internals/WindowedStreamPartitioner.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.kstream.internals;
import org.apache.kafka.clients.producer.internals.BuiltInPartitioner;
import org.apache.kafka.streams.kstream.Windowed;
import org.apache.kafka.streams.processor.StreamPartitioner;
public class WindowedStreamPartitioner<K, V> implements StreamPartitioner<Windowed<K>, V> {
private final WindowedSerializer<K> serializer;
public WindowedStreamPartitioner(final WindowedSerializer<K> serializer) {
this.serializer = serializer;
}
/**
* WindowedStreamPartitioner determines the partition number for a record with the given windowed key and value
* and the current number of partitions. The partition number id determined by the original key of the windowed key
* using the same logic as DefaultPartitioner so that the topic is partitioned by the original key.
*
* @param topic the topic name this record is sent to
* @param windowedKey the key of the record
* @param value the value of the record
* @param numPartitions the total number of partitions
* @return an integer between 0 and {@code numPartitions-1}, or {@code null} if the default partitioning logic should be used
*/
@Override
public Integer partition(final String topic, final Windowed<K> windowedKey, final V value, final int numPartitions) {
// for windowed key, the key bytes should never be null
final byte[] keyBytes = serializer.serializeBaseKey(topic, windowedKey);
// stick with the same built-in partitioner util functions that producer used
// to make sure its behavior is consistent with the producer
return BuiltInPartitioner.partitionForKey(keyBytes, numPartitions);
}
}
相关信息
相关文章
kafka AbstractKStreamTimeWindowAggregateProcessor 源码
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
7、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦