kafka CogroupedKStreamImpl 源码

  • 2022-10-20
  • 浏览 (236)

kafka CogroupedKStreamImpl 代码

文件路径:/streams/src/main/java/org/apache/kafka/streams/kstream/internals/CogroupedKStreamImpl.java

/*
 * 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.CogroupedKStream;
import org.apache.kafka.streams.kstream.Initializer;
import org.apache.kafka.streams.kstream.KGroupedStream;
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.SessionWindowedCogroupedKStream;
import org.apache.kafka.streams.kstream.SessionWindows;
import org.apache.kafka.streams.kstream.SlidingWindows;
import org.apache.kafka.streams.kstream.TimeWindowedCogroupedKStream;
import org.apache.kafka.streams.kstream.Window;
import org.apache.kafka.streams.kstream.Windows;
import org.apache.kafka.streams.kstream.internals.graph.GraphNode;
import org.apache.kafka.streams.state.KeyValueStore;

import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Objects;
import java.util.Set;

public class CogroupedKStreamImpl<K, VOut> extends AbstractStream<K, VOut> implements CogroupedKStream<K, VOut> {

    static final String AGGREGATE_NAME = "COGROUPKSTREAM-AGGREGATE-";
    static final String MERGE_NAME = "COGROUPKSTREAM-MERGE-";

    final private Map<KGroupedStreamImpl<K, ?>, Aggregator<? super K, ? super Object, VOut>> groupPatterns;
    final private CogroupedStreamAggregateBuilder<K, VOut> aggregateBuilder;

    CogroupedKStreamImpl(final String name,
                         final Set<String> subTopologySourceNodes,
                         final GraphNode graphNode,
                         final InternalStreamsBuilder builder) {
        super(name, null, null, subTopologySourceNodes, graphNode, builder);
        groupPatterns = new LinkedHashMap<>();
        aggregateBuilder = new CogroupedStreamAggregateBuilder<>(builder);
    }

    @SuppressWarnings("unchecked")
    @Override
    public <VIn> CogroupedKStream<K, VOut> cogroup(final KGroupedStream<K, VIn> groupedStream,
                                                   final Aggregator<? super K, ? super VIn, VOut> aggregator) {
        Objects.requireNonNull(groupedStream, "groupedStream can't be null");
        Objects.requireNonNull(aggregator, "aggregator can't be null");
        groupPatterns.put((KGroupedStreamImpl<K, ?>) groupedStream,
                          (Aggregator<? super K, ? super Object, VOut>) aggregator);
        return this;
    }

    @Override
    public KTable<K, VOut> aggregate(final Initializer<VOut> initializer,
                                     final Materialized<K, VOut, KeyValueStore<Bytes, byte[]>> materialized) {
        return aggregate(initializer, NamedInternal.empty(), materialized);
    }

    @Override
    public KTable<K, VOut> aggregate(final Initializer<VOut> initializer, final Named named) {
        return aggregate(initializer, named, Materialized.with(keySerde, null));
    }

    @Override
    public KTable<K, VOut> aggregate(final Initializer<VOut> initializer,
                                     final Named named,
                                     final Materialized<K, VOut, KeyValueStore<Bytes, byte[]>> 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");
        return doAggregate(
            initializer,
            new NamedInternal(named),
            new MaterializedInternal<>(materialized, builder, AGGREGATE_NAME));
    }

    @Override
    public KTable<K, VOut> aggregate(final Initializer<VOut> initializer) {
        return aggregate(initializer, Materialized.with(keySerde, null));
    }

    @Override
    public <W extends Window> TimeWindowedCogroupedKStream<K, VOut> windowedBy(final Windows<W> windows) {
        Objects.requireNonNull(windows, "windows can't be null");
        return new TimeWindowedCogroupedKStreamImpl<>(
            windows,
            builder,
            subTopologySourceNodes,
            name,
            aggregateBuilder,
            graphNode,
            groupPatterns);
    }

    @Override
    public TimeWindowedCogroupedKStream<K, VOut> windowedBy(final SlidingWindows slidingWindows) {
        Objects.requireNonNull(slidingWindows, "slidingWindows can't be null");
        return new SlidingWindowedCogroupedKStreamImpl<>(
            slidingWindows,
            builder,
            subTopologySourceNodes,
            name,
            aggregateBuilder,
            graphNode,
            groupPatterns);
    }

    @Override
    public SessionWindowedCogroupedKStream<K, VOut> windowedBy(final SessionWindows sessionWindows) {
        Objects.requireNonNull(sessionWindows, "sessionWindows can't be null");
        return new SessionWindowedCogroupedKStreamImpl<>(sessionWindows,
            builder,
            subTopologySourceNodes,
            name,
            aggregateBuilder,
            graphNode,
            groupPatterns);
    }

    private KTable<K, VOut> doAggregate(final Initializer<VOut> initializer,
                                        final NamedInternal named,
                                        final MaterializedInternal<K, VOut, KeyValueStore<Bytes, byte[]>> materializedInternal) {
        return aggregateBuilder.build(
            groupPatterns,
            initializer,
            named,
            new TimestampedKeyValueStoreMaterializer<>(materializedInternal).materialize(),
            materializedInternal.keySerde(),
            materializedInternal.valueSerde(),
            materializedInternal.queryableStoreName());
    }
}

相关信息

kafka 源码目录

相关文章

kafka AbstractKStreamTimeWindowAggregateProcessor 源码

kafka AbstractStream 源码

kafka BranchedInternal 源码

kafka BranchedKStreamImpl 源码

kafka Change 源码

kafka ChangedDeserializer 源码

kafka ChangedSerializer 源码

kafka CogroupedStreamAggregateBuilder 源码

kafka ConsumedInternal 源码

kafka FullChangeSerde 源码

0  赞