kafka KTableKTableRightJoin 源码
kafka KTableKTableRightJoin 代码
文件路径:/streams/src/main/java/org/apache/kafka/streams/kstream/internals/KTableKTableRightJoin.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.common.metrics.Sensor;
import org.apache.kafka.streams.kstream.ValueJoiner;
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.Record;
import org.apache.kafka.streams.processor.api.RecordMetadata;
import org.apache.kafka.streams.processor.internals.metrics.StreamsMetricsImpl;
import org.apache.kafka.streams.state.ValueAndTimestamp;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import static org.apache.kafka.streams.processor.internals.metrics.TaskMetrics.droppedRecordsSensor;
import static org.apache.kafka.streams.state.ValueAndTimestamp.getValueOrNull;
class KTableKTableRightJoin<K, V1, V2, VOut> extends KTableKTableAbstractJoin<K, V1, V2, VOut> {
private static final Logger LOG = LoggerFactory.getLogger(KTableKTableRightJoin.class);
KTableKTableRightJoin(final KTableImpl<K, ?, V1> table1,
final KTableImpl<K, ?, V2> table2,
final ValueJoiner<? super V1, ? super V2, ? extends VOut> joiner) {
super(table1, table2, joiner);
}
@Override
public Processor<K, Change<V1>, K, Change<VOut>> get() {
return new KTableKTableRightJoinProcessor(valueGetterSupplier2.get());
}
@Override
public KTableValueGetterSupplier<K, VOut> view() {
return new KTableKTableRightJoinValueGetterSupplier(valueGetterSupplier1, valueGetterSupplier2);
}
private class KTableKTableRightJoinValueGetterSupplier extends KTableKTableAbstractJoinValueGetterSupplier<K, VOut, V1, V2> {
KTableKTableRightJoinValueGetterSupplier(final KTableValueGetterSupplier<K, V1> valueGetterSupplier1,
final KTableValueGetterSupplier<K, V2> valueGetterSupplier2) {
super(valueGetterSupplier1, valueGetterSupplier2);
}
public KTableValueGetter<K, VOut> get() {
return new KTableKTableRightJoinValueGetter(valueGetterSupplier1.get(), valueGetterSupplier2.get());
}
}
private class KTableKTableRightJoinProcessor extends ContextualProcessor<K, Change<V1>, K, Change<VOut>> {
private final KTableValueGetter<K, V2> valueGetter;
private Sensor droppedRecordsSensor;
KTableKTableRightJoinProcessor(final KTableValueGetter<K, V2> valueGetter) {
this.valueGetter = valueGetter;
}
@Override
public void init(final ProcessorContext<K, Change<VOut>> context) {
super.init(context);
droppedRecordsSensor = droppedRecordsSensor(
Thread.currentThread().getName(),
context.taskId().toString(),
(StreamsMetricsImpl) context.metrics()
);
valueGetter.init(context);
}
@Override
public void process(final Record<K, Change<V1>> record) {
// we do join iff keys are equal, thus, if key is null we cannot join and just ignore the record
if (record.key() == null) {
if (context().recordMetadata().isPresent()) {
final RecordMetadata recordMetadata = context().recordMetadata().get();
LOG.warn(
"Skipping record due to null key. "
+ "topic=[{}] partition=[{}] offset=[{}]",
recordMetadata.topic(), recordMetadata.partition(), recordMetadata.offset()
);
} else {
LOG.warn(
"Skipping record due to null key. Topic, partition, and offset not known."
);
}
droppedRecordsSensor.record();
return;
}
final VOut newValue;
final long resultTimestamp;
VOut oldValue = null;
final ValueAndTimestamp<V2> valueAndTimestampLeft = valueGetter.get(record.key());
final V2 valueLeft = getValueOrNull(valueAndTimestampLeft);
if (valueLeft == null) {
return;
}
resultTimestamp = Math.max(record.timestamp(), valueAndTimestampLeft.timestamp());
// joiner == "reverse joiner"
newValue = joiner.apply(record.value().newValue, valueLeft);
if (sendOldValues) {
// joiner == "reverse joiner"
oldValue = joiner.apply(record.value().oldValue, valueLeft);
}
context().forward(record.withValue(new Change<>(newValue, oldValue)).withTimestamp(resultTimestamp));
}
@Override
public void close() {
valueGetter.close();
}
}
private class KTableKTableRightJoinValueGetter implements KTableValueGetter<K, VOut> {
private final KTableValueGetter<K, V1> valueGetter1;
private final KTableValueGetter<K, V2> valueGetter2;
KTableKTableRightJoinValueGetter(final KTableValueGetter<K, V1> valueGetter1,
final KTableValueGetter<K, V2> valueGetter2) {
this.valueGetter1 = valueGetter1;
this.valueGetter2 = valueGetter2;
}
@Override
public void init(final ProcessorContext<?, ?> context) {
valueGetter1.init(context);
valueGetter2.init(context);
}
@Override
public ValueAndTimestamp<VOut> get(final K key) {
final ValueAndTimestamp<V2> valueAndTimestamp2 = valueGetter2.get(key);
final V2 value2 = getValueOrNull(valueAndTimestamp2);
if (value2 != null) {
final ValueAndTimestamp<V1> valueAndTimestamp1 = valueGetter1.get(key);
final V1 value1 = getValueOrNull(valueAndTimestamp1);
final long resultTimestamp;
if (valueAndTimestamp1 == null) {
resultTimestamp = valueAndTimestamp2.timestamp();
} else {
resultTimestamp = Math.max(valueAndTimestamp1.timestamp(), valueAndTimestamp2.timestamp());
}
return ValueAndTimestamp.make(joiner.apply(value1, value2), resultTimestamp);
} else {
return null;
}
}
@Override
public void close() {
valueGetter1.close();
valueGetter2.close();
}
}
}
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