org.apache.kafka.streams.kstream.internals.KTableAggregate Maven / Gradle / Ivy
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* 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,
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* 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.errors.StreamsException;
import org.apache.kafka.streams.kstream.Aggregator;
import org.apache.kafka.streams.kstream.Initializer;
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 KTableAggregate implements KTableProcessorSupplier {
private final String storeName;
private final Initializer initializer;
private final Aggregator super K, ? super V, T> add;
private final Aggregator super K, ? super V, T> remove;
private boolean sendOldValues = false;
KTableAggregate(final String storeName,
final Initializer initializer,
final Aggregator super K, ? super V, T> add,
final Aggregator super K, ? super V, T> remove) {
this.storeName = storeName;
this.initializer = initializer;
this.add = add;
this.remove = remove;
}
@Override
public boolean enableSendingOldValues(final boolean forceMaterialization) {
// Aggregates are always materialized:
sendOldValues = true;
return true;
}
@Override
public Processor> get() {
return new KTableAggregateProcessor();
}
private class KTableAggregateProcessor 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 aggregate operator with state " + storeName + " should not be null.");
}
final ValueAndTimestamp oldAggAndTimestamp = store.get(key);
final T oldAgg = getValueOrNull(oldAggAndTimestamp);
final T intermediateAgg;
long newTimestamp = context().timestamp();
// first try to remove the old value
if (value.oldValue != null && oldAgg != null) {
intermediateAgg = remove.apply(key, value.oldValue, oldAgg);
newTimestamp = Math.max(context().timestamp(), oldAggAndTimestamp.timestamp());
} else {
intermediateAgg = oldAgg;
}
// then try to add the new value
final T newAgg;
if (value.newValue != null) {
final T initializedAgg;
if (intermediateAgg == null) {
initializedAgg = initializer.apply();
} else {
initializedAgg = intermediateAgg;
}
newAgg = add.apply(key, value.newValue, initializedAgg);
if (oldAggAndTimestamp != null) {
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);
}
}