org.apache.kafka.streams.kstream.internals.KTableReduce Maven / Gradle / Ivy
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* 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,
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package org.apache.kafka.streams.kstream.internals;
import org.apache.kafka.streams.errors.StreamsException;
import org.apache.kafka.streams.kstream.Reducer;
import org.apache.kafka.streams.processor.AbstractProcessor;
import org.apache.kafka.streams.processor.Processor;
import org.apache.kafka.streams.processor.ProcessorContext;
import org.apache.kafka.streams.state.TimestampedKeyValueStore;
import org.apache.kafka.streams.state.ValueAndTimestamp;
import static org.apache.kafka.streams.state.ValueAndTimestamp.getValueOrNull;
public class KTableReduce implements KTableProcessorSupplier {
private final String storeName;
private final Reducer addReducer;
private final Reducer removeReducer;
private boolean sendOldValues = false;
KTableReduce(final String storeName, final Reducer addReducer, final Reducer removeReducer) {
this.storeName = storeName;
this.addReducer = addReducer;
this.removeReducer = removeReducer;
}
@Override
public boolean enableSendingOldValues(final boolean forceMaterialization) {
// Reduce is always materialized:
sendOldValues = true;
return true;
}
@Override
public Processor> get() {
return new KTableReduceProcessor();
}
private class KTableReduceProcessor extends AbstractProcessor> {
private TimestampedKeyValueStore store;
private TimestampedTupleForwarder tupleForwarder;
@SuppressWarnings("unchecked")
@Override
public void init(final ProcessorContext context) {
super.init(context);
store = (TimestampedKeyValueStore) context.getStateStore(storeName);
tupleForwarder = new TimestampedTupleForwarder<>(
store,
context,
new TimestampedCacheFlushListener<>(context),
sendOldValues);
}
/**
* @throws StreamsException if key is null
*/
@Override
public void process(final K key, final Change value) {
// the keys should never be null
if (key == null) {
throw new StreamsException("Record key for KTable reduce operator with state " + storeName + " should not be null.");
}
final ValueAndTimestamp oldAggAndTimestamp = store.get(key);
final V oldAgg = getValueOrNull(oldAggAndTimestamp);
final V intermediateAgg;
long newTimestamp;
// first try to remove the old value
if (value.oldValue != null && oldAgg != null) {
intermediateAgg = removeReducer.apply(oldAgg, value.oldValue);
newTimestamp = Math.max(context().timestamp(), oldAggAndTimestamp.timestamp());
} else {
intermediateAgg = oldAgg;
newTimestamp = context().timestamp();
}
// then try to add the new value
final V newAgg;
if (value.newValue != null) {
if (intermediateAgg == null) {
newAgg = value.newValue;
} else {
newAgg = addReducer.apply(intermediateAgg, value.newValue);
newTimestamp = Math.max(context().timestamp(), oldAggAndTimestamp.timestamp());
}
} else {
newAgg = intermediateAgg;
}
// update the store with the new value
store.put(key, ValueAndTimestamp.make(newAgg, newTimestamp));
tupleForwarder.maybeForward(key, newAgg, sendOldValues ? oldAgg : null, newTimestamp);
}
}
@Override
public KTableValueGetterSupplier view() {
return new KTableMaterializedValueGetterSupplier<>(storeName);
}
}