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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.clients.consumer.ConsumerRecord;
import org.apache.kafka.streams.kstream.Aggregator;
import org.apache.kafka.streams.kstream.EmitStrategy;
import org.apache.kafka.streams.kstream.EmitStrategy.StrategyType;
import org.apache.kafka.streams.kstream.Initializer;
import org.apache.kafka.streams.kstream.TimeWindows;
import org.apache.kafka.streams.kstream.Window;
import org.apache.kafka.streams.kstream.Windowed;
import org.apache.kafka.streams.kstream.Windows;
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.state.TimestampedWindowStore;
import org.apache.kafka.streams.state.ValueAndTimestamp;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Map;
import static org.apache.kafka.streams.state.ValueAndTimestamp.getValueOrNull;
public class KStreamWindowAggregate implements KStreamAggProcessorSupplier, VAgg> {
private final Logger log = LoggerFactory.getLogger(getClass());
private final String storeName;
private final Windows windows;
private final Initializer initializer;
private final Aggregator aggregator;
private final EmitStrategy emitStrategy;
private boolean sendOldValues = false;
public KStreamWindowAggregate(final Windows windows,
final String storeName,
final EmitStrategy emitStrategy,
final Initializer initializer,
final Aggregator aggregator) {
this.windows = windows;
this.storeName = storeName;
this.emitStrategy = emitStrategy;
this.initializer = initializer;
this.aggregator = aggregator;
if (emitStrategy.type() == StrategyType.ON_WINDOW_CLOSE) {
if (!(windows instanceof TimeWindows)) {
throw new IllegalArgumentException("ON_WINDOW_CLOSE strategy is only supported for "
+ "TimeWindows and SlidingWindows for TimeWindowedKStream");
}
}
}
@Override
public Processor, Change> get() {
return new KStreamWindowAggregateProcessor(storeName, emitStrategy, sendOldValues);
}
public Windows windows() {
return windows;
}
@Override
public void enableSendingOldValues() {
sendOldValues = true;
}
private class KStreamWindowAggregateProcessor extends AbstractKStreamTimeWindowAggregateProcessor {
protected KStreamWindowAggregateProcessor(final String storeName, final EmitStrategy emitStrategy, final boolean sendOldValues) {
super(storeName, emitStrategy, sendOldValues);
}
@Override
public void process(final Record 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;
}
// first get the matching windows
final long timestamp = record.timestamp();
updateObservedStreamTime(timestamp);
final long windowCloseTime = observedStreamTime - windows.gracePeriodMs();
final Map matchedWindows = windows.windowsFor(timestamp);
// try update the window whose end time is still larger than the window close time,
// and create the new window for the rest of unmatched window that do not exist yet;
for (final Map.Entry entry : matchedWindows.entrySet()) {
final Long windowStart = entry.getKey();
final long windowEnd = entry.getValue().end();
if (windowEnd > windowCloseTime) {
final ValueAndTimestamp oldAggAndTimestamp = windowStore.fetch(record.key(), windowStart);
VAgg oldAgg = getValueOrNull(oldAggAndTimestamp);
final VAgg newAgg;
final long newTimestamp;
if (oldAgg == null) {
oldAgg = initializer.apply();
newTimestamp = record.timestamp();
} else {
newTimestamp = Math.max(record.timestamp(), oldAggAndTimestamp.timestamp());
}
newAgg = aggregator.apply(record.key(), record.value(), oldAgg);
// update the store with the new value
windowStore.put(record.key(), ValueAndTimestamp.make(newAgg, newTimestamp), windowStart);
maybeForwardUpdate(record, entry.getValue(), oldAgg, newAgg, newTimestamp);
} else {
final String windowString = "[" + windowStart + "," + windowEnd + ")";
logSkippedRecordForExpiredWindow(log, record.timestamp(), windowCloseTime, windowString);
}
}
maybeForwardFinalResult(record, windowCloseTime);
}
@Override
protected long emitRangeLowerBound(final long windowCloseTime) {
// Since time window end timestamp is exclusive, we set the inclusive lower bound plus 1;
// Set lower bound to 0L for the first time emit so that when we fetchAll, we fetch from 0L
return lastEmitWindowCloseTime == ConsumerRecord.NO_TIMESTAMP ?
0L : Math.max(0L, lastEmitWindowCloseTime - windows.size()) + 1;
}
@Override
protected long emitRangeUpperBound(final long windowCloseTime) {
return windowCloseTime - windows.size();
}
@Override
protected boolean shouldRangeFetch(final long emitRangeLowerBound, final long emitRangeUpperBound) {
// Don't fetch store if the new emit window close time doesn't
// progress enough to cover next window;
// Note since window-end time is exclusive we would not count windows whose end time == lower bound, hence
// would minus 1 when finding matched windows
if (lastEmitWindowCloseTime != ConsumerRecord.NO_TIMESTAMP) {
final Map matchedCloseWindows = windows.windowsFor(emitRangeUpperBound);
final Map matchedEmitWindows = windows.windowsFor(emitRangeLowerBound - 1);
if (matchedCloseWindows.equals(matchedEmitWindows)) {
log.trace("No new windows to emit. LastEmitCloseTime={}, emitRangeLowerBound={}, emitRangeUpperBound={}",
lastEmitWindowCloseTime, emitRangeLowerBound, emitRangeUpperBound);
return false;
}
}
return true;
}
}
@Override
public KTableValueGetterSupplier, VAgg> view() {
return new KTableValueGetterSupplier, VAgg>() {
public KTableValueGetter, VAgg> get() {
return new KStreamWindowAggregateValueGetter();
}
@Override
public String[] storeNames() {
return new String[] {storeName};
}
};
}
private class KStreamWindowAggregateValueGetter implements KTableValueGetter, VAgg> {
private TimestampedWindowStore windowStore;
@Override
public void init(final ProcessorContext context) {
windowStore = context.getStateStore(storeName);
}
@SuppressWarnings("unchecked")
@Override
public ValueAndTimestamp get(final Windowed windowedKey) {
final KIn key = windowedKey.key();
final W window = (W) windowedKey.window();
return windowStore.fetch(key, window.start());
}
@Override
public boolean isVersioned() {
return false;
}
}
}
