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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.flink.connector.base.source.reader.fetcher;

import org.apache.flink.annotation.VisibleForTesting;
import org.apache.flink.api.connector.source.SourceSplit;
import org.apache.flink.connector.base.source.reader.RecordsWithSplitIds;
import org.apache.flink.connector.base.source.reader.SourceReaderBase;
import org.apache.flink.connector.base.source.reader.splitreader.SplitReader;
import org.apache.flink.connector.base.source.reader.synchronization.FutureCompletingBlockingQueue;

import java.util.Collection;
import java.util.List;
import java.util.function.Consumer;
import java.util.function.Supplier;

/**
 * A Fetcher Manager with a single fetching thread (I/O thread) that handles all splits
 * concurrently.
 *
 * 

This pattern is, for example, useful for connectors like File Readers, Apache Kafka Readers, * etc. In the example of Kafka, there is a single thread that reads all splits (topic partitions) * via the same client. In the example of the file source, there is a single thread that reads the * files after another. */ public class SingleThreadFetcherManager extends SplitFetcherManager { /** * Creates a new SplitFetcherManager with a single I/O threads. * * @param elementsQueue The queue that is used to hand over data from the I/O thread (the * fetchers) to the reader (which emits the records and book-keeps the state. This must be * the same queue instance that is also passed to the {@link SourceReaderBase}. * @param splitReaderSupplier The factory for the split reader that connects to the source * system. */ public SingleThreadFetcherManager( FutureCompletingBlockingQueue> elementsQueue, Supplier> splitReaderSupplier) { super(elementsQueue, splitReaderSupplier); } /** * Creates a new SplitFetcherManager with a single I/O threads. * * @param elementsQueue The queue that is used to hand over data from the I/O thread (the * fetchers) to the reader (which emits the records and book-keeps the state. This must be * the same queue instance that is also passed to the {@link SourceReaderBase}. * @param splitReaderSupplier The factory for the split reader that connects to the source * system. * @param splitFinishedHook Hook for handling finished splits in split fetchers */ @VisibleForTesting public SingleThreadFetcherManager( FutureCompletingBlockingQueue> elementsQueue, Supplier> splitReaderSupplier, Consumer> splitFinishedHook) { super(elementsQueue, splitReaderSupplier, splitFinishedHook); } @Override public void addSplits(List splitsToAdd) { SplitFetcher fetcher = getRunningFetcher(); if (fetcher == null) { fetcher = createSplitFetcher(); // Add the splits to the fetchers. fetcher.addSplits(splitsToAdd); startFetcher(fetcher); } else { fetcher.addSplits(splitsToAdd); } } protected SplitFetcher getRunningFetcher() { return fetchers.isEmpty() ? null : fetchers.values().iterator().next(); } }





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