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SirixDB is a hybrid on-disk and in-memory document oriented, versioned database system. It has a lightweight buffer manager, stores everything in a huge persistent and durable tree and allows efficient reconstruction of every revision. Furthermore, SirixDB implements change tracking, diffing and supports time travel queries.
/*
* Copyright (c) 2011, University of Konstanz, Distributed Systems Group All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met: * Redistributions of source code must retain the
* above copyright notice, this list of conditions and the following disclaimer. * Redistributions
* in binary form must reproduce the above copyright notice, this list of conditions and the
* following disclaimer in the documentation and/or other materials provided with the distribution.
* * Neither the name of the University of Konstanz nor the names of its contributors may be used to
* endorse or promote products derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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package io.sirix.axis.concurrent;
import java.util.concurrent.BlockingQueue;
import io.sirix.api.Axis;
import io.sirix.utils.LogWrapper;
import org.checkerframework.checker.nullness.qual.NonNull;
import io.sirix.settings.Fixed;
import org.slf4j.LoggerFactory;
import static java.util.Objects.requireNonNull;
/**
*
* Is the helper for the ConcurrentAxis and realizes the concurrent evaluation of pipeline steps by
* decoupling the given axis from the main thread and storing its results in a blocking queue so
* establish a producer-consumer-relationship between the ConcurrentAxis and this one.
*
*
* This axis should only be used and instantiated by the ConcurrentAxis. Find more information on
* how to use this framework in the ConcurrentAxis documentation.
*
*/
public class ConcurrentAxisHelper implements Runnable {
/** Logger. */
public static final LogWrapper LOGWRAPPER =
new LogWrapper(LoggerFactory.getLogger(ConcurrentAxisHelper.class));
/** {@link Axis} that computes the results. */
private final Axis axis;
/**
* Queue that stores result keys already computed by this axis. End of the result sequence is
* marked by the NULL_NODE_KEY. This is used for communication with the consumer.
*/
private BlockingQueue results;
/**
* Bind axis step to transaction. Make sure to create a new ReadTransaction instead of using the
* parameter rtx. Because of concurrency every axis has to have it's own transaction.
*
* @param axis Axis to bind with
* @param results queue which has results related to the axis
*/
public ConcurrentAxisHelper(final Axis axis, @NonNull final BlockingQueue results) {
this.axis = requireNonNull(axis);
this.results = requireNonNull(results);
}
@Override
public void run() {
// Compute all results of the given axis and store the results in the queue.
while (axis.hasNext()) {
final long nodeKey = axis.nextLong();
try {
// Store result in queue as soon as there is space left.
results.put(nodeKey);
// Wait until next thread arrives and exchange blocking queue.
} catch (final InterruptedException e) {
LOGWRAPPER.error(e.getMessage(), e);
}
}
try {
// Mark end of result sequence by the NULL_NODE_KEY.
results.put(Fixed.NULL_NODE_KEY.getStandardProperty());
} catch (final InterruptedException e) {
LOGWRAPPER.error(e.getMessage(), e);
}
}
}
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