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社区首页 >专栏 >聊聊Cassandra的FailureDetector

聊聊Cassandra的FailureDetector

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code4it
发布2019-05-01 10:58:18
发布2019-05-01 10:58:18
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本文主要研究一下Cassandra的FailureDetector

IFailureDetector

cassandra-3.11.4/src/java/org/apache/cassandra/gms/IFailureDetector.java

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public interface IFailureDetector
{
    /**
     * Failure Detector's knowledge of whether a node is up or
     * down.
     *
     * @param ep endpoint in question.
     * @return true if UP and false if DOWN.
     */
    public boolean isAlive(InetAddress ep);
​
    /**
     * This method is invoked by any entity wanting to interrogate the status of an endpoint.
     * In our case it would be the Gossiper. The Failure Detector will then calculate Phi and
     * deem an endpoint as suspicious or alive as explained in the Hayashibara paper.
     *
     * param ep endpoint for which we interpret the inter arrival times.
     */
    public void interpret(InetAddress ep);
​
    /**
     * This method is invoked by the receiver of the heartbeat. In our case it would be
     * the Gossiper. Gossiper inform the Failure Detector on receipt of a heartbeat. The
     * FailureDetector will then sample the arrival time as explained in the paper.
     *
     * param ep endpoint being reported.
     */
    public void report(InetAddress ep);
​
    /**
     * remove endpoint from failure detector
     */
    public void remove(InetAddress ep);
​
    /**
     * force conviction of endpoint in the failure detector
     */
    public void forceConviction(InetAddress ep);
​
    /**
     * Register interest for Failure Detector events.
     *
     * @param listener implementation of an application provided IFailureDetectionEventListener
     */
    public void registerFailureDetectionEventListener(IFailureDetectionEventListener listener);
​
    /**
     * Un-register interest for Failure Detector events.
     *
     * @param listener implementation of an application provided IFailureDetectionEventListener
     */
    public void unregisterFailureDetectionEventListener(IFailureDetectionEventListener listener);
}
  • IFailureDetector接口定义了isAlive、interpret、report、forceConviction、registerFailureDetectionEventListener、unregisterFailureDetectionEventListener方法

FailureDetector

cassandra-3.11.4/src/java/org/apache/cassandra/gms/FailureDetector.java

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/**
 * This FailureDetector is an implementation of the paper titled
 * "The Phi Accrual Failure Detector" by Hayashibara.
 * Check the paper and the <i>IFailureDetector</i> interface for details.
 */
public class FailureDetector implements IFailureDetector, FailureDetectorMBean
{
    private static final Logger logger = LoggerFactory.getLogger(FailureDetector.class);
    public static final String MBEAN_NAME = "org.apache.cassandra.net:type=FailureDetector";
    private static final int SAMPLE_SIZE = 1000;
    protected static final long INITIAL_VALUE_NANOS = TimeUnit.NANOSECONDS.convert(getInitialValue(), TimeUnit.MILLISECONDS);
    private static final int DEBUG_PERCENTAGE = 80; // if the phi is larger than this percentage of the max, log a debug message
    private static final long DEFAULT_MAX_PAUSE = 5000L * 1000000L; // 5 seconds
    private static final long MAX_LOCAL_PAUSE_IN_NANOS = getMaxLocalPause();
    private long lastInterpret = Clock.instance.nanoTime();
    private long lastPause = 0L;
​
    private static long getMaxLocalPause()
    {
        if (System.getProperty("cassandra.max_local_pause_in_ms") != null)
        {
            long pause = Long.parseLong(System.getProperty("cassandra.max_local_pause_in_ms"));
            logger.warn("Overriding max local pause time to {}ms", pause);
            return pause * 1000000L;
        }
        else
            return DEFAULT_MAX_PAUSE;
    }
​
    public static final IFailureDetector instance = new FailureDetector();
​
    // this is useless except to provide backwards compatibility in phi_convict_threshold,
    // because everyone seems pretty accustomed to the default of 8, and users who have
    // already tuned their phi_convict_threshold for their own environments won't need to
    // change.
    private final double PHI_FACTOR = 1.0 / Math.log(10.0); // 0.434...
​
    private final ConcurrentHashMap<InetAddress, ArrivalWindow> arrivalSamples = new ConcurrentHashMap<>();
    private final List<IFailureDetectionEventListener> fdEvntListeners = new CopyOnWriteArrayList<>();
​
    //......
​
    public boolean isAlive(InetAddress ep)
    {
        if (ep.equals(FBUtilities.getBroadcastAddress()))
            return true;
​
        EndpointState epState = Gossiper.instance.getEndpointStateForEndpoint(ep);
        // we could assert not-null, but having isAlive fail screws a node over so badly that
        // it's worth being defensive here so minor bugs don't cause disproportionate
        // badness.  (See CASSANDRA-1463 for an example).
        if (epState == null)
            logger.error("Unknown endpoint: " + ep, new IllegalArgumentException(""));
        return epState != null && epState.isAlive();
    }
​
    public void interpret(InetAddress ep)
    {
        ArrivalWindow hbWnd = arrivalSamples.get(ep);
        if (hbWnd == null)
        {
            return;
        }
        long now = Clock.instance.nanoTime();
        long diff = now - lastInterpret;
        lastInterpret = now;
        if (diff > MAX_LOCAL_PAUSE_IN_NANOS)
        {
            logger.warn("Not marking nodes down due to local pause of {} > {}", diff, MAX_LOCAL_PAUSE_IN_NANOS);
            lastPause = now;
            return;
        }
        if (Clock.instance.nanoTime() - lastPause < MAX_LOCAL_PAUSE_IN_NANOS)
        {
            logger.debug("Still not marking nodes down due to local pause");
            return;
        }
        double phi = hbWnd.phi(now);
        if (logger.isTraceEnabled())
            logger.trace("PHI for {} : {}", ep, phi);
​
        if (PHI_FACTOR * phi > getPhiConvictThreshold())
        {
            if (logger.isTraceEnabled())
                logger.trace("Node {} phi {} > {}; intervals: {} mean: {}", new Object[]{ep, PHI_FACTOR * phi, getPhiConvictThreshold(), hbWnd, hbWnd.mean()});
            for (IFailureDetectionEventListener listener : fdEvntListeners)
            {
                listener.convict(ep, phi);
            }
        }
        else if (logger.isDebugEnabled() && (PHI_FACTOR * phi * DEBUG_PERCENTAGE / 100.0 > getPhiConvictThreshold()))
        {
            logger.debug("PHI for {} : {}", ep, phi);
        }
        else if (logger.isTraceEnabled())
        {
            logger.trace("PHI for {} : {}", ep, phi);
            logger.trace("mean for {} : {}", ep, hbWnd.mean());
        }
    }
​
    //......
}
  • FailureDetector实现了IFailureDetector, FailureDetectorMBean接口
  • 这里定义的PHI_FACTOR为1.0 / Math.log(10.0),而phiConvictThreshold默认为8;这里维护了arrivalSamples,即InetAddress及其ArrivalWindow的映射
  • 其isAlive方法取的epState.isAlive()的值;其interpret方法调用ArrivalWindow.phi计算now值的phi,然后乘以PHI_FACTOR,如果大于phiConvictThreshold则会回调IFailureDetectionEventListener的convict方法

EndpointState

cassandra-3.11.4/src/java/org/apache/cassandra/gms/EndpointState.java

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public class EndpointState
{
    protected static final Logger logger = LoggerFactory.getLogger(EndpointState.class);
​
    public final static IVersionedSerializer<EndpointState> serializer = new EndpointStateSerializer();
​
    private volatile HeartBeatState hbState;
    private final AtomicReference<Map<ApplicationState, VersionedValue>> applicationState;
​
    /* fields below do not get serialized */
    private volatile long updateTimestamp;
    private volatile boolean isAlive;
​
    public boolean isAlive()
    {
        return isAlive;
    }
​
    void markAlive()
    {
        isAlive = true;
    }
​
    void markDead()
    {
        isAlive = false;
    }
​
    //......
}
  • EndpointState的isAlive返回的是isAlive值,则markDead方法则会标记该值为false

ArrivalWindow

cassandra-3.11.4/src/java/org/apache/cassandra/gms/FailureDetector.java

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class ArrivalWindow
{
    private static final Logger logger = LoggerFactory.getLogger(ArrivalWindow.class);
    private long tLast = 0L;
    private final ArrayBackedBoundedStats arrivalIntervals;
    private double lastReportedPhi = Double.MIN_VALUE;
​
    // in the event of a long partition, never record an interval longer than the rpc timeout,
    // since if a host is regularly experiencing connectivity problems lasting this long we'd
    // rather mark it down quickly instead of adapting
    // this value defaults to the same initial value the FD is seeded with
    private final long MAX_INTERVAL_IN_NANO = getMaxInterval();
​
    ArrivalWindow(int size)
    {
        arrivalIntervals = new ArrayBackedBoundedStats(size);
    }
​
    private static long getMaxInterval()
    {
        String newvalue = System.getProperty("cassandra.fd_max_interval_ms");
        if (newvalue == null)
        {
            return FailureDetector.INITIAL_VALUE_NANOS;
        }
        else
        {
            logger.info("Overriding FD MAX_INTERVAL to {}ms", newvalue);
            return TimeUnit.NANOSECONDS.convert(Integer.parseInt(newvalue), TimeUnit.MILLISECONDS);
        }
    }
​
    synchronized void add(long value, InetAddress ep)
    {
        assert tLast >= 0;
        if (tLast > 0L)
        {
            long interArrivalTime = (value - tLast);
            if (interArrivalTime <= MAX_INTERVAL_IN_NANO)
            {
                arrivalIntervals.add(interArrivalTime);
                logger.trace("Reporting interval time of {} for {}", interArrivalTime, ep);
            }
            else
            {
                logger.trace("Ignoring interval time of {} for {}", interArrivalTime, ep);
            }
        }
        else
        {
            // We use a very large initial interval since the "right" average depends on the cluster size
            // and it's better to err high (false negatives, which will be corrected by waiting a bit longer)
            // than low (false positives, which cause "flapping").
            arrivalIntervals.add(FailureDetector.INITIAL_VALUE_NANOS);
        }
        tLast = value;
    }
​
    double mean()
    {
        return arrivalIntervals.mean();
    }
​
    // see CASSANDRA-2597 for an explanation of the math at work here.
    double phi(long tnow)
    {
        assert arrivalIntervals.mean() > 0 && tLast > 0; // should not be called before any samples arrive
        long t = tnow - tLast;
        lastReportedPhi = t / mean();
        return lastReportedPhi;
    }
​
    double getLastReportedPhi()
    {
        return lastReportedPhi;
    }
​
    public String toString()
    {
        return Arrays.toString(arrivalIntervals.getArrivalIntervals());
    }
}
  • ArrivalWindow使用ArrayBackedBoundedStats来存储arrivalIntervals值
  • 其add方法是一个synchronized方法,它在tLast大于0且interArrivalTime小于等于MAX_INTERVAL_IN_NANO的时候才会执行arrivalIntervals.add(interArrivalTime),如果tLast小于等于0则执行arrivalIntervals.add(FailureDetector.INITIAL_VALUE_NANOS)
  • phi值采用了exponential distribution appropriate,即通过t / mean()来近似计算P(x <= t)

Although the original paper suggests that the distribution is approximated by the Gaussian distribution we found the Exponential Distribution to be a better approximation, because of the nature of the gossip channel and its impact on latency Regular message transmissions experiencing typical random jitter will follow a normal distribution, but since gossip messages from endpoint A to endpoint B are sent at random intervals, they likely make up a Poisson process, making the exponential distribution appropriate.

Gossiper

cassandra-3.11.4/src/java/org/apache/cassandra/gms/Gossiper.java

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public class Gossiper implements IFailureDetectionEventListener, GossiperMBean
{
    //......
​
    /**
     * This method is part of IFailureDetectionEventListener interface. This is invoked
     * by the Failure Detector when it convicts an end point.
     *
     * @param endpoint end point that is convicted.
     */
    public void convict(InetAddress endpoint, double phi)
    {
        EndpointState epState = endpointStateMap.get(endpoint);
        if (epState == null)
            return;
​
        if (!epState.isAlive())
            return;
​
        logger.debug("Convicting {} with status {} - alive {}", endpoint, getGossipStatus(epState), epState.isAlive());
​
​
        if (isShutdown(endpoint))
        {
            markAsShutdown(endpoint);
        }
        else
        {
            markDead(endpoint, epState);
        }
    }
​
    /**
     * This method is used to mark a node as shutdown; that is it gracefully exited on its own and told us about it
     * @param endpoint endpoint that has shut itself down
     */
    protected void markAsShutdown(InetAddress endpoint)
    {
        EndpointState epState = endpointStateMap.get(endpoint);
        if (epState == null)
            return;
        epState.addApplicationState(ApplicationState.STATUS, StorageService.instance.valueFactory.shutdown(true));
        epState.addApplicationState(ApplicationState.RPC_READY, StorageService.instance.valueFactory.rpcReady(false));
        epState.getHeartBeatState().forceHighestPossibleVersionUnsafe();
        markDead(endpoint, epState);
        FailureDetector.instance.forceConviction(endpoint);
    }
​
    @VisibleForTesting
    public void markDead(InetAddress addr, EndpointState localState)
    {
        if (logger.isTraceEnabled())
            logger.trace("marking as down {}", addr);
        localState.markDead();
        liveEndpoints.remove(addr);
        unreachableEndpoints.put(addr, System.nanoTime());
        logger.info("InetAddress {} is now DOWN", addr);
        for (IEndpointStateChangeSubscriber subscriber : subscribers)
            subscriber.onDead(addr, localState);
        if (logger.isTraceEnabled())
            logger.trace("Notified {}", subscribers);
    }
​
    //......
}
  • Gossiper实现了IFailureDetectionEventListener接口,其convict方法会获取endpointState,如果已经shutdown则执行markAsShutdown方法,否则执行markDead方法
  • markAsShutdown方法会调用markDead方法,然后再调用FailureDetector.instance.forceConviction(endpoint)方法
  • markDead方法则直接调用endpointState.markDead()方法,然后回调IEndpointStateChangeSubscriber的onDead方法

GossipTask

cassandra-3.11.4/src/java/org/apache/cassandra/gms/Gossiper.java

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public class Gossiper implements IFailureDetectionEventListener, GossiperMBean
{
    //......
​
    public void start(int generationNumber)
    {
        start(generationNumber, new EnumMap<ApplicationState, VersionedValue>(ApplicationState.class));
    }
​
    /**
     * Start the gossiper with the generation number, preloading the map of application states before starting
     */
    public void start(int generationNbr, Map<ApplicationState, VersionedValue> preloadLocalStates)
    {
        buildSeedsList();
        /* initialize the heartbeat state for this localEndpoint */
        maybeInitializeLocalState(generationNbr);
        EndpointState localState = endpointStateMap.get(FBUtilities.getBroadcastAddress());
        localState.addApplicationStates(preloadLocalStates);
​
        //notify snitches that Gossiper is about to start
        DatabaseDescriptor.getEndpointSnitch().gossiperStarting();
        if (logger.isTraceEnabled())
            logger.trace("gossip started with generation {}", localState.getHeartBeatState().getGeneration());
​
        scheduledGossipTask = executor.scheduleWithFixedDelay(new GossipTask(),
                                                              Gossiper.intervalInMillis,
                                                              Gossiper.intervalInMillis,
                                                              TimeUnit.MILLISECONDS);
    }
​
    private class GossipTask implements Runnable
    {
        public void run()
        {
            try
            {
                //wait on messaging service to start listening
                MessagingService.instance().waitUntilListening();
​
                taskLock.lock();
​
                /* Update the local heartbeat counter. */
                endpointStateMap.get(FBUtilities.getBroadcastAddress()).getHeartBeatState().updateHeartBeat();
                if (logger.isTraceEnabled())
                    logger.trace("My heartbeat is now {}", endpointStateMap.get(FBUtilities.getBroadcastAddress()).getHeartBeatState().getHeartBeatVersion());
                final List<GossipDigest> gDigests = new ArrayList<GossipDigest>();
                Gossiper.instance.makeRandomGossipDigest(gDigests);
​
                if (gDigests.size() > 0)
                {
                    GossipDigestSyn digestSynMessage = new GossipDigestSyn(DatabaseDescriptor.getClusterName(),
                                                                           DatabaseDescriptor.getPartitionerName(),
                                                                           gDigests);
                    MessageOut<GossipDigestSyn> message = new MessageOut<GossipDigestSyn>(MessagingService.Verb.GOSSIP_DIGEST_SYN,
                                                                                          digestSynMessage,
                                                                                          GossipDigestSyn.serializer);
                    /* Gossip to some random live member */
                    boolean gossipedToSeed = doGossipToLiveMember(message);
​
                    /* Gossip to some unreachable member with some probability to check if he is back up */
                    maybeGossipToUnreachableMember(message);
​
                    /* Gossip to a seed if we did not do so above, or we have seen less nodes
                       than there are seeds.  This prevents partitions where each group of nodes
                       is only gossiping to a subset of the seeds.
​
                       The most straightforward check would be to check that all the seeds have been
                       verified either as live or unreachable.  To avoid that computation each round,
                       we reason that:
​
                       either all the live nodes are seeds, in which case non-seeds that come online
                       will introduce themselves to a member of the ring by definition,
​
                       or there is at least one non-seed node in the list, in which case eventually
                       someone will gossip to it, and then do a gossip to a random seed from the
                       gossipedToSeed check.
​
                       See CASSANDRA-150 for more exposition. */
                    if (!gossipedToSeed || liveEndpoints.size() < seeds.size())
                        maybeGossipToSeed(message);
​
                    doStatusCheck();
                }
            }
            catch (Exception e)
            {
                JVMStabilityInspector.inspectThrowable(e);
                logger.error("Gossip error", e);
            }
            finally
            {
                taskLock.unlock();
            }
        }
    }
​
    private void doStatusCheck()
    {
        if (logger.isTraceEnabled())
            logger.trace("Performing status check ...");
​
        long now = System.currentTimeMillis();
        long nowNano = System.nanoTime();
​
        long pending = ((JMXEnabledThreadPoolExecutor) StageManager.getStage(Stage.GOSSIP)).metrics.pendingTasks.getValue();
        if (pending > 0 && lastProcessedMessageAt < now - 1000)
        {
            // if some new messages just arrived, give the executor some time to work on them
            Uninterruptibles.sleepUninterruptibly(100, TimeUnit.MILLISECONDS);
​
            // still behind?  something's broke
            if (lastProcessedMessageAt < now - 1000)
            {
                logger.warn("Gossip stage has {} pending tasks; skipping status check (no nodes will be marked down)", pending);
                return;
            }
        }
​
        Set<InetAddress> eps = endpointStateMap.keySet();
        for (InetAddress endpoint : eps)
        {
            if (endpoint.equals(FBUtilities.getBroadcastAddress()))
                continue;
​
            FailureDetector.instance.interpret(endpoint);
            EndpointState epState = endpointStateMap.get(endpoint);
            if (epState != null)
            {
                // check if this is a fat client. fat clients are removed automatically from
                // gossip after FatClientTimeout.  Do not remove dead states here.
                if (isGossipOnlyMember(endpoint)
                    && !justRemovedEndpoints.containsKey(endpoint)
                    && TimeUnit.NANOSECONDS.toMillis(nowNano - epState.getUpdateTimestamp()) > fatClientTimeout)
                {
                    logger.info("FatClient {} has been silent for {}ms, removing from gossip", endpoint, fatClientTimeout);
                    removeEndpoint(endpoint); // will put it in justRemovedEndpoints to respect quarantine delay
                    evictFromMembership(endpoint); // can get rid of the state immediately
                }
​
                // check for dead state removal
                long expireTime = getExpireTimeForEndpoint(endpoint);
                if (!epState.isAlive() && (now > expireTime)
                    && (!StorageService.instance.getTokenMetadata().isMember(endpoint)))
                {
                    if (logger.isDebugEnabled())
                    {
                        logger.debug("time is expiring for endpoint : {} ({})", endpoint, expireTime);
                    }
                    evictFromMembership(endpoint);
                }
            }
        }
​
        if (!justRemovedEndpoints.isEmpty())
        {
            for (Entry<InetAddress, Long> entry : justRemovedEndpoints.entrySet())
            {
                if ((now - entry.getValue()) > QUARANTINE_DELAY)
                {
                    if (logger.isDebugEnabled())
                        logger.debug("{} elapsed, {} gossip quarantine over", QUARANTINE_DELAY, entry.getKey());
                    justRemovedEndpoints.remove(entry.getKey());
                }
            }
        }
    }
​
    //......
}
  • Gossiper定义了start方法,该方法通过executor.scheduleWithFixedDelay创建了GossipTask的调度任务
  • GossipTask的run方法会执行doGossipToLiveMember、maybeGossipToUnreachableMember,最后执行doStatusCheck方法
  • doStatusCheck方法会遍历endpointStateMap中的InetAddress,对其执行FailureDetector.instance.interpret(endpoint)

小结

  • IFailureDetector接口定义了isAlive、interpret、report、forceConviction、registerFailureDetectionEventListener、unregisterFailureDetectionEventListener方法
  • FailureDetector实现了IFailureDetector, FailureDetectorMBean接口;其isAlive方法取的epState.isAlive()的值,EndpointState的isAlive返回的是isAlive值,则markDead方法则会标记该值为false;其interpret方法调用ArrivalWindow.phi计算now值的phi,然后乘以PHI_FACTOR,如果大于phiConvictThreshold则会回调IFailureDetectionEventListener的convict方法
  • ArrivalWindow使用ArrayBackedBoundedStats来存储arrivalIntervals值;其add方法是一个synchronized方法,它在tLast大于0且interArrivalTime小于等于MAX_INTERVAL_IN_NANO的时候才会执行arrivalIntervals.add(interArrivalTime),如果tLast小于等于0则执行arrivalIntervals.add(FailureDetector.INITIAL_VALUE_NANOS);phi值采用了exponential distribution appropriate,即通过t / mean()来近似计算P(x <= t)
  • Gossiper实现了IFailureDetectionEventListener接口,其convict方法会获取endpointState,如果已经shutdown则执行markAsShutdown方法,否则执行markDead方法;markAsShutdown方法会调用markDead方法,然后再调用FailureDetector.instance.forceConviction(endpoint)方法;markDead方法则直接调用endpointState.markDead()方法,然后回调IEndpointStateChangeSubscriber的onDead方法
  • Gossiper定义了start方法,该方法通过executor.scheduleWithFixedDelay创建了GossipTask的调度任务;GossipTask的run方法会执行doGossipToLiveMember、maybeGossipToUnreachableMember,最后执行doStatusCheck方法;doStatusCheck方法会遍历endpointStateMap中的InetAddress,对其执行FailureDetector.instance.interpret(endpoint)

doc

原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

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目录
  • IFailureDetector
  • FailureDetector
  • EndpointState
  • ArrivalWindow
  • Gossiper
  • GossipTask
  • 小结
  • doc
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