kafka TimeWindowedCogroupedKStreamImpl 源码

  • 2022-10-20
  • 浏览 (230)

kafka TimeWindowedCogroupedKStreamImpl 代码

文件路径:/streams/src/main/java/org/apache/kafka/streams/kstream/internals/TimeWindowedCogroupedKStreamImpl.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.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.StoreBuilder;
import org.apache.kafka.streams.state.Stores;
import org.apache.kafka.streams.state.TimestampedWindowStore;
import org.apache.kafka.streams.state.WindowBytesStoreSupplier;
import org.apache.kafka.streams.state.WindowStore;

import java.time.Duration;
import java.util.Map;
import java.util.Objects;
import java.util.Set;

public class TimeWindowedCogroupedKStreamImpl<K, V, W extends Window> extends AbstractStream<K, V>
    implements TimeWindowedCogroupedKStream<K, V> {

    private final Windows<W> windows;
    private final CogroupedStreamAggregateBuilder<K, V> aggregateBuilder;
    private final Map<KGroupedStreamImpl<K, ?>, Aggregator<? super K, ? super Object, V>> groupPatterns;

    TimeWindowedCogroupedKStreamImpl(final Windows<W> windows,
                                     final InternalStreamsBuilder builder,
                                     final Set<String> subTopologySourceNodes,
                                     final String name,
                                     final CogroupedStreamAggregateBuilder<K, V> aggregateBuilder,
                                     final GraphNode graphNode,
                                     final Map<KGroupedStreamImpl<K, ?>, Aggregator<? super K, ? super Object, V>> 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<Windowed<K>, V> aggregate(final Initializer<V> initializer) {
        return aggregate(initializer, Materialized.with(null, null));
    }

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

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

    @Override
    public KTable<Windowed<K>, V> aggregate(final Initializer<V> initializer,
                                            final Named named,
                                            final Materialized<K, V, WindowStore<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");
        final MaterializedInternal<K, V, WindowStore<Bytes, byte[]>> materializedInternal = new MaterializedInternal<>(
            materialized,
            builder,
            CogroupedKStreamImpl.AGGREGATE_NAME);
        return aggregateBuilder.build(
            groupPatterns,
            initializer,
            new NamedInternal(named),
            materialize(materializedInternal),
            materializedInternal.keySerde() != null ?
                new FullTimeWindowedSerde<>(materializedInternal.keySerde(), windows.size())
                : null,
            materializedInternal.valueSerde(),
            materializedInternal.queryableStoreName(),
            windows);
    }

    private StoreBuilder<TimestampedWindowStore<K, V>> materialize(
        final MaterializedInternal<K, V, WindowStore<Bytes, byte[]>> materialized) {
        WindowBytesStoreSupplier supplier = (WindowBytesStoreSupplier) materialized.storeSupplier();
        if (supplier == null) {
            final long retentionPeriod = materialized.retention() != null ?
                materialized.retention().toMillis() : windows.size() + windows.gracePeriodMs();

            if ((windows.size() + windows.gracePeriodMs()) > retentionPeriod) {
                throw new IllegalArgumentException("The retention period of the window store "
                        + name
                        + " must be no smaller than its window size plus the grace period."
                        + " Got size=[" + windows.size() + "],"
                        + " grace=[" + windows.gracePeriodMs()
                        + "],"
                        + " retention=[" + retentionPeriod
                        + "]");
            }

            switch (materialized.storeType()) {
                case IN_MEMORY:
                    supplier = Stores.inMemoryWindowStore(
                        materialized.storeName(),
                        Duration.ofMillis(retentionPeriod),
                        Duration.ofMillis(windows.size()),
                        false
                    );
                    break;
                case ROCKS_DB:
                    supplier = Stores.persistentTimestampedWindowStore(
                        materialized.storeName(),
                        Duration.ofMillis(retentionPeriod),
                        Duration.ofMillis(windows.size()),
                        false
                    );
                    break;
                default:
                    throw new IllegalStateException("Unknown store type: " + materialized.storeType());
            }
        }

        final StoreBuilder<TimestampedWindowStore<K, V>> builder = Stores
            .timestampedWindowStoreBuilder(
                supplier,
                materialized.keySerde(),
                materialized.valueSerde()
            );

        if (materialized.loggingEnabled()) {
            builder.withLoggingEnabled(materialized.logConfig());
        } else {
            builder.withLoggingDisabled();
        }

        if (materialized.cachingEnabled()) {
            builder.withCachingEnabled();
        }
        return builder;
    }
}

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 CogroupedKStreamImpl 源码

kafka CogroupedStreamAggregateBuilder 源码

kafka ConsumedInternal 源码

0  赞