kafka StreamSinkNode 源码
kafka StreamSinkNode 代码
文件路径:/streams/src/main/java/org/apache/kafka/streams/kstream/internals/graph/StreamSinkNode.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.graph;
import org.apache.kafka.common.serialization.Serializer;
import org.apache.kafka.streams.kstream.internals.ProducedInternal;
import org.apache.kafka.streams.kstream.internals.WindowedSerializer;
import org.apache.kafka.streams.kstream.internals.WindowedStreamPartitioner;
import org.apache.kafka.streams.processor.StreamPartitioner;
import org.apache.kafka.streams.processor.TopicNameExtractor;
import org.apache.kafka.streams.processor.internals.InternalTopologyBuilder;
import org.apache.kafka.streams.processor.internals.StaticTopicNameExtractor;
public class StreamSinkNode<K, V> extends GraphNode {
private final TopicNameExtractor<K, V> topicNameExtractor;
private final ProducedInternal<K, V> producedInternal;
public StreamSinkNode(final String nodeName,
final TopicNameExtractor<K, V> topicNameExtractor,
final ProducedInternal<K, V> producedInternal) {
super(nodeName);
this.topicNameExtractor = topicNameExtractor;
this.producedInternal = producedInternal;
}
@Override
public String toString() {
return "StreamSinkNode{" +
"topicNameExtractor=" + topicNameExtractor +
", producedInternal=" + producedInternal +
"} " + super.toString();
}
@Override
@SuppressWarnings("unchecked")
public void writeToTopology(final InternalTopologyBuilder topologyBuilder) {
final Serializer<K> keySerializer = producedInternal.keySerde() == null ? null : producedInternal.keySerde().serializer();
final Serializer<V> valSerializer = producedInternal.valueSerde() == null ? null : producedInternal.valueSerde().serializer();
final String[] parentNames = parentNodeNames();
final StreamPartitioner<? super K, ? super V> partitioner;
if (producedInternal.streamPartitioner() == null && keySerializer instanceof WindowedSerializer) {
partitioner = (StreamPartitioner<K, V>) new WindowedStreamPartitioner<K, V>((WindowedSerializer<K>) keySerializer);
} else {
partitioner = producedInternal.streamPartitioner();
}
if (topicNameExtractor instanceof StaticTopicNameExtractor) {
final String topicName = ((StaticTopicNameExtractor<K, V>) topicNameExtractor).topicName;
topologyBuilder.addSink(nodeName(), topicName, keySerializer, valSerializer, partitioner, parentNames);
} else {
topologyBuilder.addSink(nodeName(), topicNameExtractor, keySerializer, valSerializer, partitioner, parentNames);
}
}
}
相关信息
相关文章
kafka BaseJoinProcessorNode 源码
kafka GroupedTableOperationRepartitionNode 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