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/*
 * Copyright 2024 Responsive Computing, Inc.
 *
 *  Licensed 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 dev.responsive.kafka.api.async.internals.queues;

import dev.responsive.kafka.api.async.internals.FatalAsyncException;
import dev.responsive.kafka.api.async.internals.events.AsyncEvent;
import java.util.concurrent.BlockingDeque;
import java.util.concurrent.LinkedBlockingDeque;
import java.util.concurrent.TimeUnit;
import org.apache.kafka.common.utils.LogContext;
import org.slf4j.Logger;

/**
 * A queue for events whose inputs have been fully processed by the AsyncThread
 * and have been handed off to await the StreamThread for finalization. The
 * StreamThread picks up events from this queue in order to execute any outputs
 * that were intercepted during processing, such as forwards and writes, before
 * ultimating marking the async event as completed. This queue is conceptually
 * the reverse of the thread pool's queue in that it forms a channel from
 * the thread pool threads to the StreamThread, whereas the pool's queue does
 * the exact opposite.
 * 

* Events in this queue are in the {@link AsyncEvent.State#TO_FINALIZE} state *

* Threading notes: * -Produces to queue -- async threadpool (see {@link WriteOnlyFinalizingQueue}) * -Consumes from queue -- StreamThread (see {@link ReadOnlyFinalizingQueue}) * -One per physical AsyncProcessor instance * (ie per logical processor per partition per StreamThread) */ public class FinalizingQueue implements ReadOnlyFinalizingQueue, WriteOnlyFinalizingQueue { private final Logger log; private final BlockingDeque finalizableRecords = new LinkedBlockingDeque<>(); private final int partition; public FinalizingQueue(final String logPrefix, final int partition) { this.log = new LogContext(logPrefix).logger(FinalizingQueue.class); this.partition = partition; } /** * See {@link WriteOnlyFinalizingQueue#addFinalizableEvent} */ @Override public void addFinalizableEvent( final AsyncEvent event ) { if (event.partition() != this.partition) { final String errorMsg = String.format( "Attempted to finalize an event for partition %d on queue for partition %d", event.partition(), this.partition ); log.error(errorMsg); throw new IllegalStateException(errorMsg); } finalizableRecords.addLast(event); } /** * See {@link WriteOnlyFinalizingQueue#addFailedEvent} */ @Override public void addFailedEvent( final AsyncEvent event, final Throwable throwable ) { // Failed events get to jump the line to make sure the StreamThread fails fast finalizableRecords.addFirst(event); } /** * See {@link ReadOnlyFinalizingQueue#nextFinalizableEvent()} *

* Note: non-blocking API */ @Override public AsyncEvent nextFinalizableEvent() { return finalizableRecords.poll(); } /** * See {@link ReadOnlyFinalizingQueue#waitForNextFinalizableEvent} *

* Note: blocking API */ @Override public AsyncEvent waitForNextFinalizableEvent(long timeout, TimeUnit unit) { try { return finalizableRecords.poll(timeout, unit); } catch (final InterruptedException e) { log.error("Fatally interrupted while waiting for finalizable event", e); throw new FatalAsyncException("Interrupted while waiting for finalizable event", e); } } /** * See {@link ReadOnlyFinalizingQueue#isEmpty()} */ @Override public boolean isEmpty() { return finalizableRecords.isEmpty(); } }





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