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/*
* 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.Aggregator;
import org.apache.kafka.streams.kstream.Initializer;
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.apache.kafka.streams.state.internals.KeyValueStoreWrapper;
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;
import static org.apache.kafka.streams.state.VersionedKeyValueStore.PUT_RETURN_CODE_NOT_PUT;
import static org.apache.kafka.streams.state.internals.KeyValueStoreWrapper.PUT_RETURN_CODE_IS_LATEST;
public class KStreamAggregate implements KStreamAggProcessorSupplier {
private static final Logger LOG = LoggerFactory.getLogger(KStreamAggregate.class);
private final String storeName;
private final Initializer initializer;
private final Aggregator super KIn, ? super VIn, VAgg> aggregator;
private boolean sendOldValues = false;
KStreamAggregate(final String storeName,
final Initializer initializer,
final Aggregator super KIn, ? super VIn, VAgg> aggregator) {
this.storeName = storeName;
this.initializer = initializer;
this.aggregator = aggregator;
}
@Override
public Processor> get() {
return new KStreamAggregateProcessor();
}
@Override
public void enableSendingOldValues() {
sendOldValues = true;
}
private class KStreamAggregateProcessor extends ContextualProcessor> {
private KeyValueStoreWrapper store;
private Sensor droppedRecordsSensor;
private TimestampedTupleForwarder tupleForwarder;
@Override
public void init(final ProcessorContext> context) {
super.init(context);
droppedRecordsSensor = droppedRecordsSensor(
Thread.currentThread().getName(),
context.taskId().toString(),
(StreamsMetricsImpl) context.metrics());
store = new KeyValueStoreWrapper<>(context, storeName);
tupleForwarder = new TimestampedTupleForwarder<>(
store.getStore(),
context,
new TimestampedCacheFlushListener<>(context),
sendOldValues);
}
@Override
public void process(final Record record) {
// If the key or value is null we don't need to proceed
if (record.key() == null || record.value() == null) {
if (context().recordMetadata().isPresent()) {
final RecordMetadata recordMetadata = context().recordMetadata().get();
LOG.warn(
"Skipping record due to null key or value. "
+ "topic=[{}] partition=[{}] offset=[{}]",
recordMetadata.topic(), recordMetadata.partition(), recordMetadata.offset()
);
} else {
LOG.warn(
"Skipping record due to null key or value. Topic, partition, and offset not known."
);
}
droppedRecordsSensor.record();
return;
}
final ValueAndTimestamp oldAggAndTimestamp = store.get(record.key());
VAgg oldAgg = getValueOrNull(oldAggAndTimestamp);
final VAgg newAgg;
final long newTimestamp;
if (oldAgg == null) {
oldAgg = initializer.apply();
newTimestamp = record.timestamp();
} else {
oldAgg = oldAggAndTimestamp.value();
newTimestamp = Math.max(record.timestamp(), oldAggAndTimestamp.timestamp());
}
newAgg = aggregator.apply(record.key(), record.value(), oldAgg);
final long putReturnCode = store.put(record.key(), newAgg, newTimestamp);
// if not put to store, do not forward downstream either
if (putReturnCode != PUT_RETURN_CODE_NOT_PUT) {
tupleForwarder.maybeForward(
record.withValue(new Change<>(newAgg, sendOldValues ? oldAgg : null, putReturnCode == PUT_RETURN_CODE_IS_LATEST))
.withTimestamp(newTimestamp));
}
}
}
@Override
public KTableValueGetterSupplier view() {
return new KTableValueGetterSupplier() {
public KTableValueGetter get() {
return new KStreamAggregateValueGetter();
}
@Override
public String[] storeNames() {
return new String[]{storeName};
}
};
}
private class KStreamAggregateValueGetter implements KTableValueGetter {
private KeyValueStoreWrapper store;
@Override
public void init(final ProcessorContext, ?> context) {
store = new KeyValueStoreWrapper<>(context, storeName);
}
@Override
public ValueAndTimestamp get(final KIn key) {
return store.get(key);
}
@Override
public ValueAndTimestamp get(final KIn key, final long asOfTimestamp) {
return store.get(key, asOfTimestamp);
}
@Override
public boolean isVersioned() {
return store.isVersionedStore();
}
}
}