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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.utils.Bytes;
import org.apache.kafka.streams.kstream.Aggregator;
import org.apache.kafka.streams.kstream.EmitStrategy;
import org.apache.kafka.streams.kstream.Initializer;
import org.apache.kafka.streams.kstream.KTable;
import org.apache.kafka.streams.kstream.Materialized;
import org.apache.kafka.streams.kstream.Named;
import org.apache.kafka.streams.kstream.TimeWindowedCogroupedKStream;
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.kstream.internals.graph.GraphNode;
import org.apache.kafka.streams.state.WindowStore;
import java.util.Map;
import java.util.Objects;
import java.util.Set;
public class TimeWindowedCogroupedKStreamImpl extends AbstractStream
implements TimeWindowedCogroupedKStream {
private final Windows windows;
private final CogroupedStreamAggregateBuilder aggregateBuilder;
private final Map, Aggregator> groupPatterns;
TimeWindowedCogroupedKStreamImpl(final Windows windows,
final InternalStreamsBuilder builder,
final Set subTopologySourceNodes,
final String name,
final CogroupedStreamAggregateBuilder aggregateBuilder,
final GraphNode graphNode,
final Map, Aggregator> groupPatterns) {
super(name, null, null, subTopologySourceNodes, graphNode, builder);
//keySerde and valueSerde are null because there are many different groupStreams that they could be from
this.windows = windows;
this.aggregateBuilder = aggregateBuilder;
this.groupPatterns = groupPatterns;
}
@Override
public KTable, V> aggregate(final Initializer initializer) {
return aggregate(initializer, Materialized.with(null, null));
}
@Override
public KTable, V> aggregate(final Initializer initializer,
final Materialized> materialized) {
return aggregate(initializer, NamedInternal.empty(), materialized);
}
@Override
public KTable, V> aggregate(final Initializer initializer,
final Named named) {
return aggregate(initializer, named, Materialized.with(null, null));
}
@Override
public KTable, V> aggregate(final Initializer initializer,
final Named named,
final Materialized> materialized) {
Objects.requireNonNull(initializer, "initializer can't be null");
Objects.requireNonNull(named, "named can't be null");
Objects.requireNonNull(materialized, "materialized can't be null");
final MaterializedInternal> materializedInternal = new MaterializedInternal<>(
materialized,
builder,
CogroupedKStreamImpl.AGGREGATE_NAME);
return aggregateBuilder.build(
groupPatterns,
initializer,
new NamedInternal(named),
new WindowStoreMaterializer<>(materializedInternal, windows, EmitStrategy.onWindowUpdate()),
materializedInternal.keySerde() != null ?
new FullTimeWindowedSerde<>(materializedInternal.keySerde(), windows.size())
: null,
materializedInternal.valueSerde(),
materializedInternal.queryableStoreName(),
windows);
}
}
