kafka KStreamFlatTransform 源码
kafka KStreamFlatTransform 代码
文件路径:/streams/src/main/java/org/apache/kafka/streams/kstream/internals/KStreamFlatTransform.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.streams.KeyValue;
import org.apache.kafka.streams.kstream.Transformer;
import org.apache.kafka.streams.kstream.TransformerSupplier;
import org.apache.kafka.streams.processor.api.ContextualProcessor;
import org.apache.kafka.streams.processor.api.Processor;
import org.apache.kafka.streams.processor.api.ProcessorContext;
import org.apache.kafka.streams.processor.api.ProcessorSupplier;
import org.apache.kafka.streams.processor.api.Record;
import org.apache.kafka.streams.processor.internals.InternalProcessorContext;
import org.apache.kafka.streams.state.StoreBuilder;
import java.util.Set;
public class KStreamFlatTransform<KIn, VIn, KOut, VOut> implements ProcessorSupplier<KIn, VIn, KOut, VOut> {
private final TransformerSupplier<? super KIn, ? super VIn, Iterable<KeyValue<KOut, VOut>>> transformerSupplier;
public KStreamFlatTransform(final TransformerSupplier<? super KIn, ? super VIn, Iterable<KeyValue<KOut, VOut>>> transformerSupplier) {
this.transformerSupplier = transformerSupplier;
}
@Override
public Processor<KIn, VIn, KOut, VOut> get() {
return new KStreamFlatTransformProcessor<>(transformerSupplier.get());
}
@Override
public Set<StoreBuilder<?>> stores() {
return transformerSupplier.stores();
}
public static class KStreamFlatTransformProcessor<KIn, VIn, KOut, VOut> extends ContextualProcessor<KIn, VIn, KOut, VOut> {
private final Transformer<? super KIn, ? super VIn, Iterable<KeyValue<KOut, VOut>>> transformer;
public KStreamFlatTransformProcessor(final Transformer<? super KIn, ? super VIn, Iterable<KeyValue<KOut, VOut>>> transformer) {
this.transformer = transformer;
}
@Override
public void init(final ProcessorContext<KOut, VOut> context) {
super.init(context);
transformer.init((InternalProcessorContext<KOut, VOut>) context);
}
@Override
public void process(final Record<KIn, VIn> record) {
final Iterable<KeyValue<KOut, VOut>> pairs = transformer.transform(record.key(), record.value());
if (pairs != null) {
for (final KeyValue<KOut, VOut> pair : pairs) {
context().forward(record.withKey(pair.key).withValue(pair.value));
}
}
}
@Override
public void close() {
transformer.close();
}
}
}
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