/*
* Copyright 2002-2016 the original author or authors.
*
* 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 org.springframework.jms.listener;
import java.util.HashSet;
import java.util.Set;
import java.util.concurrent.Executor;
import javax.jms.Connection;
import javax.jms.JMSException;
import javax.jms.MessageConsumer;
import javax.jms.Session;
import org.springframework.core.Constants;
import org.springframework.core.task.SimpleAsyncTaskExecutor;
import org.springframework.core.task.TaskExecutor;
import org.springframework.jms.JmsException;
import org.springframework.jms.support.JmsUtils;
import org.springframework.jms.support.destination.CachingDestinationResolver;
import org.springframework.jms.support.destination.DestinationResolver;
import org.springframework.scheduling.SchedulingAwareRunnable;
import org.springframework.scheduling.SchedulingTaskExecutor;
import org.springframework.util.Assert;
import org.springframework.util.ClassUtils;
import org.springframework.util.backoff.BackOff;
import org.springframework.util.backoff.BackOffExecution;
import org.springframework.util.backoff.FixedBackOff;
/**
* Message listener container variant that uses plain JMS client APIs, specifically
* a loop of {@code MessageConsumer.receive()} calls that also allow for
* transactional reception of messages (registering them with XA transactions).
* Designed to work in a native JMS environment as well as in a Java EE environment,
* with only minimal differences in configuration.
*
* <p>This is a simple but nevertheless powerful form of message listener container.
* On startup, it obtains a fixed number of JMS Sessions to invoke the listener,
* and optionally allows for dynamic adaptation at runtime (up to a maximum number).
* Like {@link SimpleMessageListenerContainer}, its main advantage is its low level
* of runtime complexity, in particular the minimal requirements on the JMS provider:
* not even the JMS {@code ServerSessionPool} facility is required. Beyond that, it is
* fully self-recovering in case the broker is temporarily unavailable, and allows
* for stops/restarts as well as runtime changes to its configuration.
*
* <p>Actual {@code MessageListener} execution happens in asynchronous work units which are
* created through Spring's {@link org.springframework.core.task.TaskExecutor TaskExecutor}
* abstraction. By default, the specified number of invoker tasks will be created
* on startup, according to the {@link #setConcurrentConsumers "concurrentConsumers"}
* setting. Specify an alternative {@code TaskExecutor} to integrate with an existing
* thread pool facility (such as a Java EE server's), for example using a
* {@link org.springframework.scheduling.commonj.WorkManagerTaskExecutor CommonJ WorkManager}.
* With a native JMS setup, each of those listener threads is going to use a
* cached JMS {@code Session} and {@code MessageConsumer} (only refreshed in case
* of failure), using the JMS provider's resources as efficiently as possible.
*
* <p>Message reception and listener execution can automatically be wrapped
* in transactions by passing a Spring
* {@link org.springframework.transaction.PlatformTransactionManager} into the
* {@link #setTransactionManager "transactionManager"} property. This will usually
* be a {@link org.springframework.transaction.jta.JtaTransactionManager} in a
* Java EE environment, in combination with a JTA-aware JMS {@code ConnectionFactory}
* obtained from JNDI (check your Java EE server's documentation). Note that this
* listener container will automatically reobtain all JMS handles for each transaction
* in case an external transaction manager is specified, for compatibility with
* all Java EE servers (in particular JBoss). This non-caching behavior can be
* overridden through the {@link #setCacheLevel "cacheLevel"} /
* {@link #setCacheLevelName "cacheLevelName"} property, enforcing caching of
* the {@code Connection} (or also {@code Session} and {@code MessageConsumer})
* even if an external transaction manager is involved.
*
* <p>Dynamic scaling of the number of concurrent invokers can be activated
* by specifying a {@link #setMaxConcurrentConsumers "maxConcurrentConsumers"}
* value that is higher than the {@link #setConcurrentConsumers "concurrentConsumers"}
* value. Since the latter's default is 1, you can also simply specify a
* "maxConcurrentConsumers" of e.g. 5, which will lead to dynamic scaling up to
* 5 concurrent consumers in case of increasing message load, as well as dynamic
* shrinking back to the standard number of consumers once the load decreases.
* Consider adapting the {@link #setIdleTaskExecutionLimit "idleTaskExecutionLimit"}
* setting to control the lifespan of each new task, to avoid frequent scaling up
* and down, in particular if the {@code ConnectionFactory} does not pool JMS
* {@code Sessions} and/or the {@code TaskExecutor} does not pool threads (check
* your configuration!). Note that dynamic scaling only really makes sense for a
* queue in the first place; for a topic, you will typically stick with the default
* number of 1 consumer, otherwise you'd receive the same message multiple times on
* the same node.
*
* <p><b>Note: Don't use Spring's {@link org.springframework.jms.connection.CachingConnectionFactory}
* in combination with dynamic scaling.</b> Ideally, don't use it with a message
* listener container at all, since it is generally preferable to let the
* listener container itself handle appropriate caching within its lifecycle.
* Also, stopping and restarting a listener container will only work with an
* independent, locally cached Connection - not with an externally cached one.
*
* <p><b>It is strongly recommended to either set {@link #setSessionTransacted
* "sessionTransacted"} to "true" or specify an external {@link #setTransactionManager
* "transactionManager"}.</b> See the {@link AbstractMessageListenerContainer}
* javadoc for details on acknowledge modes and native transaction options, as
* well as the {@link AbstractPollingMessageListenerContainer} javadoc for details
* on configuring an external transaction manager. Note that for the default
* "AUTO_ACKNOWLEDGE" mode, this container applies automatic message acknowledgment
* before listener execution, with no redelivery in case of an exception.
*
* @author Juergen Hoeller
* @since 2.0
* @see #setTransactionManager
* @see #setCacheLevel
* @see javax.jms.MessageConsumer#receive(long)
* @see SimpleMessageListenerContainer
* @see org.springframework.jms.listener.endpoint.JmsMessageEndpointManager
*/
public class DefaultMessageListenerContainer extends AbstractPollingMessageListenerContainer {
/**
* Default thread name prefix: "DefaultMessageListenerContainer-".
*/
public static final String DEFAULT_THREAD_NAME_PREFIX =
ClassUtils.getShortName(DefaultMessageListenerContainer.class) + "-";
/**
* The default recovery interval: 5000 ms = 5 seconds.
*/
public static final long DEFAULT_RECOVERY_INTERVAL = 5000;
/**
* Constant that indicates to cache no JMS resources at all.
* @see #setCacheLevel
*/
public static final int CACHE_NONE = 0;
/**
* Constant that indicates to cache a shared JMS {@code Connection} for each
* listener thread.
* @see #setCacheLevel
*/
public static final int CACHE_CONNECTION = 1;
/**
* Constant that indicates to cache a shared JMS {@code Connection} and a JMS
* {@code Session} for each listener thread.
* @see #setCacheLevel
*/
public static final int CACHE_SESSION = 2;
/**
* Constant that indicates to cache a shared JMS {@code Connection}, a JMS
* {@code Session}, and a JMS MessageConsumer for each listener thread.
* @see #setCacheLevel
*/
public static final int CACHE_CONSUMER = 3;
/**
* Constant that indicates automatic choice of an appropriate caching level
* (depending on the transaction management strategy).
* @see #setCacheLevel
*/
public static final int CACHE_AUTO = 4;
private static final Constants constants = new Constants(DefaultMessageListenerContainer.class);
private Executor taskExecutor;
private BackOff backOff = new FixedBackOff(DEFAULT_RECOVERY_INTERVAL, Long.MAX_VALUE);
private int cacheLevel = CACHE_AUTO;
private int concurrentConsumers = 1;
private int maxConcurrentConsumers = 1;
private int maxMessagesPerTask = Integer.MIN_VALUE;
private int idleConsumerLimit = 1;
private int idleTaskExecutionLimit = 1;
private final Set<AsyncMessageListenerInvoker> scheduledInvokers = new HashSet<>();
private int activeInvokerCount = 0;
private int registeredWithDestination = 0;
private volatile boolean recovering = false;
private volatile boolean interrupted = false;
private Runnable stopCallback;
private Object currentRecoveryMarker = new Object();
private final Object recoveryMonitor = new Object();
/**
* Set the Spring {@code TaskExecutor} to use for running the listener threads.
* <p>Default is a {@link org.springframework.core.task.SimpleAsyncTaskExecutor},
* starting up a number of new threads, according to the specified number
* of concurrent consumers.
* <p>Specify an alternative {@code TaskExecutor} for integration with an existing
* thread pool. Note that this really only adds value if the threads are
* managed in a specific fashion, for example within a Java EE environment.
* A plain thread pool does not add much value, as this listener container
* will occupy a number of threads for its entire lifetime.
* @see #setConcurrentConsumers
* @see org.springframework.core.task.SimpleAsyncTaskExecutor
* @see org.springframework.scheduling.commonj.WorkManagerTaskExecutor
*/
public void setTaskExecutor(Executor taskExecutor) {
this.taskExecutor = taskExecutor;
}
/**
* Specify the {@link BackOff} instance to use to compute the interval
* between recovery attempts. If the {@link BackOffExecution} implementation
* returns {@link BackOffExecution#STOP}, this listener container will not further
* attempt to recover.
* <p>The {@link #setRecoveryInterval(long) recovery interval} is ignored
* when this property is set.
* @since 4.1
*/
public void setBackOff(BackOff backOff) {
this.backOff = backOff;
}
/**
* Specify the interval between recovery attempts, in <b>milliseconds</b>.
* The default is 5000 ms, that is, 5 seconds. This is a convenience method
* to create a {@link FixedBackOff} with the specified interval.
* <p>For more recovery options, consider specifying a {@link BackOff}
* instance instead.
* @see #setBackOff(BackOff)
* @see #handleListenerSetupFailure
*/
public void setRecoveryInterval(long recoveryInterval) {
this.backOff = new FixedBackOff(recoveryInterval, Long.MAX_VALUE);
}
/**
* Specify the level of caching that this listener container is allowed to apply,
* in the form of the name of the corresponding constant: e.g. "CACHE_CONNECTION".
* @see #setCacheLevel
*/
public void setCacheLevelName(String constantName) throws IllegalArgumentException {
if (constantName == null || !constantName.startsWith("CACHE_")) {
throw new IllegalArgumentException("Only cache constants allowed");
}
setCacheLevel(constants.asNumber(constantName).intValue());
}
/**
* Specify the level of caching that this listener container is allowed to apply.
* <p>Default is {@link #CACHE_NONE} if an external transaction manager has been specified
* (to reobtain all resources freshly within the scope of the external transaction),
* and {@link #CACHE_CONSUMER} otherwise (operating with local JMS resources).
* <p>Some Java EE servers only register their JMS resources with an ongoing XA
* transaction in case of a freshly obtained JMS {@code Connection} and {@code Session},
* which is why this listener container by default does not cache any of those.
* However, depending on the rules of your server with respect to the caching
* of transactional resources, consider switching this setting to at least
* {@link #CACHE_CONNECTION} or {@link #CACHE_SESSION} even in conjunction with an
* external transaction manager.
* @see #CACHE_NONE
* @see #CACHE_CONNECTION
* @see #CACHE_SESSION
* @see #CACHE_CONSUMER
* @see #setCacheLevelName
* @see #setTransactionManager
*/
public void setCacheLevel(int cacheLevel) {
this.cacheLevel = cacheLevel;
}
/**
* Return the level of caching that this listener container is allowed to apply.
*/
public int getCacheLevel() {
return this.cacheLevel;
}
/**
* Specify concurrency limits via a "lower-upper" String, e.g. "5-10", or a simple
* upper limit String, e.g. "10" (the lower limit will be 1 in this case).
* <p>This listener container will always hold on to the minimum number of consumers
* ({@link #setConcurrentConsumers}) and will slowly scale up to the maximum number
* of consumers {@link #setMaxConcurrentConsumers} in case of increasing load.
*/
@Override
public void setConcurrency(String concurrency) {
try {
int separatorIndex = concurrency.indexOf('-');
if (separatorIndex != -1) {
setConcurrentConsumers(Integer.parseInt(concurrency.substring(0, separatorIndex)));
setMaxConcurrentConsumers(Integer.parseInt(concurrency.substring(separatorIndex + 1, concurrency.length())));
}
else {
setConcurrentConsumers(1);
setMaxConcurrentConsumers(Integer.parseInt(concurrency));
}
}
catch (NumberFormatException ex) {
throw new IllegalArgumentException("Invalid concurrency value [" + concurrency + "]: only " +
"single maximum integer (e.g. \"5\") and minimum-maximum combo (e.g. \"3-5\") supported.");
}
}
/**
* Specify the number of concurrent consumers to create. Default is 1.
* <p>Specifying a higher value for this setting will increase the standard
* level of scheduled concurrent consumers at runtime: This is effectively
* the minimum number of concurrent consumers which will be scheduled
* at any given time. This is a static setting; for dynamic scaling,
* consider specifying the "maxConcurrentConsumers" setting instead.
* <p>Raising the number of concurrent consumers is recommendable in order
* to scale the consumption of messages coming in from a queue. However,
* note that any ordering guarantees are lost once multiple consumers are
* registered. In general, stick with 1 consumer for low-volume queues.
* <p><b>Do not raise the number of concurrent consumers for a topic,
* unless vendor-specific setup measures clearly allow for it.</b>
* With regular setup, this would lead to concurrent consumption
* of the same message, which is hardly ever desirable.
* <p><b>This setting can be modified at runtime, for example through JMX.</b>
* @see #setMaxConcurrentConsumers
*/
public void setConcurrentConsumers(int concurrentConsumers) {
Assert.isTrue(concurrentConsumers > 0, "'concurrentConsumers' value must be at least 1 (one)");
synchronized (this.lifecycleMonitor) {
this.concurrentConsumers = concurrentConsumers;
if (this.maxConcurrentConsumers < concurrentConsumers) {
this.maxConcurrentConsumers = concurrentConsumers;
}
}
}
/**
* Return the "concurrentConsumer" setting.
* <p>This returns the currently configured "concurrentConsumers" value;
* the number of currently scheduled/active consumers might differ.
* @see #getScheduledConsumerCount()
* @see #getActiveConsumerCount()
*/
public final int getConcurrentConsumers() {
synchronized (this.lifecycleMonitor) {
return this.concurrentConsumers;
}
}
/**
* Specify the maximum number of concurrent consumers to create. Default is 1.
* <p>If this setting is higher than "concurrentConsumers", the listener container
* will dynamically schedule new consumers at runtime, provided that enough
* incoming messages are encountered. Once the load goes down again, the number of
* consumers will be reduced to the standard level ("concurrentConsumers") again.
* <p>Raising the number of concurrent consumers is recommendable in order
* to scale the consumption of messages coming in from a queue. However,
* note that any ordering guarantees are lost once multiple consumers are
* registered. In general, stick with 1 consumer for low-volume queues.
* <p><b>Do not raise the number of concurrent consumers for a topic,
* unless vendor-specific setup measures clearly allow for it.</b>
* With regular setup, this would lead to concurrent consumption
* of the same message, which is hardly ever desirable.
* <p><b>This setting can be modified at runtime, for example through JMX.</b>
* @see #setConcurrentConsumers
*/
public void setMaxConcurrentConsumers(int maxConcurrentConsumers) {
Assert.isTrue(maxConcurrentConsumers > 0, "'maxConcurrentConsumers' value must be at least 1 (one)");
synchronized (this.lifecycleMonitor) {
this.maxConcurrentConsumers =
(maxConcurrentConsumers > this.concurrentConsumers ? maxConcurrentConsumers : this.concurrentConsumers);
}
}
/**
* Return the "maxConcurrentConsumer" setting.
* <p>This returns the currently configured "maxConcurrentConsumers" value;
* the number of currently scheduled/active consumers might differ.
* @see #getScheduledConsumerCount()
* @see #getActiveConsumerCount()
*/
public final int getMaxConcurrentConsumers() {
synchronized (this.lifecycleMonitor) {
return this.maxConcurrentConsumers;
}
}
/**
* Specify the maximum number of messages to process in one task.
* More concretely, this limits the number of message reception attempts
* per task, which includes receive iterations that did not actually
* pick up a message until they hit their timeout (see the
* {@link #setReceiveTimeout "receiveTimeout"} property).
* <p>Default is unlimited (-1) in case of a standard TaskExecutor,
* reusing the original invoker threads until shutdown (at the
* expense of limited dynamic scheduling).
* <p>In case of a SchedulingTaskExecutor indicating a preference for
* short-lived tasks, the default is 10 instead. Specify a number
* of 10 to 100 messages to balance between rather long-lived and
* rather short-lived tasks here.
* <p>Long-lived tasks avoid frequent thread context switches through
* sticking with the same thread all the way through, while short-lived
* tasks allow thread pools to control the scheduling. Hence, thread
* pools will usually prefer short-lived tasks.
* <p><b>This setting can be modified at runtime, for example through JMX.</b>
* @see #setTaskExecutor
* @see #setReceiveTimeout
* @see org.springframework.scheduling.SchedulingTaskExecutor#prefersShortLivedTasks()
*/
public void setMaxMessagesPerTask(int maxMessagesPerTask) {
Assert.isTrue(maxMessagesPerTask != 0, "'maxMessagesPerTask' must not be 0");
synchronized (this.lifecycleMonitor) {
this.maxMessagesPerTask = maxMessagesPerTask;
}
}
/**
* Return the maximum number of messages to process in one task.
*/
public final int getMaxMessagesPerTask() {
synchronized (this.lifecycleMonitor) {
return this.maxMessagesPerTask;
}
}
/**
* Specify the limit for the number of consumers that are allowed to be idle
* at any given time.
* <p>This limit is used by the {@link #scheduleNewInvokerIfAppropriate} method
* to determine if a new invoker should be created. Increasing the limit causes
* invokers to be created more aggressively. This can be useful to ramp up the
* number of invokers faster.
* <p>The default is 1, only scheduling a new invoker (which is likely to
* be idle initially) if none of the existing invokers is currently idle.
*/
public void setIdleConsumerLimit(int idleConsumerLimit) {
Assert.isTrue(idleConsumerLimit > 0, "'idleConsumerLimit' must be 1 or higher");
synchronized (this.lifecycleMonitor) {
this.idleConsumerLimit = idleConsumerLimit;
}
}
/**
* Return the limit for the number of idle consumers.
*/
public final int getIdleConsumerLimit() {
synchronized (this.lifecycleMonitor) {
return this.idleConsumerLimit;
}
}
/**
* Specify the limit for idle executions of a consumer task, not having
* received any message within its execution. If this limit is reached,
* the task will shut down and leave receiving to other executing tasks.
* <p>The default is 1, closing idle resources early once a task didn't
* receive a message. This applies to dynamic scheduling only; see the
* {@link #setMaxConcurrentConsumers "maxConcurrentConsumers"} setting.
* The minimum number of consumers
* (see {@link #setConcurrentConsumers "concurrentConsumers"})
* will be kept around until shutdown in any case.
* <p>Within each task execution, a number of message reception attempts
* (according to the "maxMessagesPerTask" setting) will each wait for an incoming
* message (according to the "receiveTimeout" setting). If all of those receive
* attempts in a given task return without a message, the task is considered
* idle with respect to received messages. Such a task may still be rescheduled;
* however, once it reached the specified "idleTaskExecutionLimit", it will
* shut down (in case of dynamic scaling).
* <p>Raise this limit if you encounter too frequent scaling up and down.
* With this limit being higher, an idle consumer will be kept around longer,
* avoiding the restart of a consumer once a new load of messages comes in.
* Alternatively, specify a higher "maxMessagesPerTask" and/or "receiveTimeout" value,
* which will also lead to idle consumers being kept around for a longer time
* (while also increasing the average execution time of each scheduled task).
* <p><b>This setting can be modified at runtime, for example through JMX.</b>
* @see #setMaxMessagesPerTask
* @see #setReceiveTimeout
*/
public void setIdleTaskExecutionLimit(int idleTaskExecutionLimit) {
Assert.isTrue(idleTaskExecutionLimit > 0, "'idleTaskExecutionLimit' must be 1 or higher");
synchronized (this.lifecycleMonitor) {
this.idleTaskExecutionLimit = idleTaskExecutionLimit;
}
}
/**
* Return the limit for idle executions of a consumer task.
*/
public final int getIdleTaskExecutionLimit() {
synchronized (this.lifecycleMonitor) {
return this.idleTaskExecutionLimit;
}
}
//-------------------------------------------------------------------------
// Implementation of AbstractMessageListenerContainer's template methods
//-------------------------------------------------------------------------
@Override
public void initialize() {
// Adapt default cache level.
if (this.cacheLevel == CACHE_AUTO) {
this.cacheLevel = (getTransactionManager() != null ? CACHE_NONE : CACHE_CONSUMER);
}
// Prepare taskExecutor and maxMessagesPerTask.
synchronized (this.lifecycleMonitor) {
if (this.taskExecutor == null) {
this.taskExecutor = createDefaultTaskExecutor();
}
else if (this.taskExecutor instanceof SchedulingTaskExecutor &&
((SchedulingTaskExecutor) this.taskExecutor).prefersShortLivedTasks() &&
this.maxMessagesPerTask == Integer.MIN_VALUE) {
// TaskExecutor indicated a preference for short-lived tasks. According to
// setMaxMessagesPerTask javadoc, we'll use 10 message per task in this case
// unless the user specified a custom value.
this.maxMessagesPerTask = 10;
}
}
// Proceed with actual listener initialization.
super.initialize();
}
/**
* Creates the specified number of concurrent consumers,
* in the form of a JMS Session plus associated MessageConsumer
* running in a separate thread.
* @see #scheduleNewInvoker
* @see #setTaskExecutor
*/
@Override
protected void doInitialize() throws JMSException {
synchronized (this.lifecycleMonitor) {
for (int i = 0; i < this.concurrentConsumers; i++) {
scheduleNewInvoker();
}
}
}
/**
* Destroy the registered JMS Sessions and associated MessageConsumers.
*/
@Override
protected void doShutdown() throws JMSException {
logger.debug("Waiting for shutdown of message listener invokers");
try {
synchronized (this.lifecycleMonitor) {
// Waiting for AsyncMessageListenerInvokers to deactivate themselves...
while (this.activeInvokerCount > 0) {
if (logger.isDebugEnabled()) {
logger.debug("Still waiting for shutdown of " + this.activeInvokerCount +
" message listener invokers");
}
long timeout = getReceiveTimeout();
if (timeout > 0) {
this.lifecycleMonitor.wait(timeout);
}
else {
this.lifecycleMonitor.wait();
}
}
// Clear remaining scheduled invokers, possibly left over as paused tasks...
for (AsyncMessageListenerInvoker scheduledInvoker : this.scheduledInvokers) {
scheduledInvoker.clearResources();
}
this.scheduledInvokers.clear();
}
}
catch (InterruptedException ex) {
// Re-interrupt current thread, to allow other threads to react.
Thread.currentThread().interrupt();
}
}
/**
* Overridden to reset the stop callback, if any.
*/
@Override
public void start() throws JmsException {
synchronized (this.lifecycleMonitor) {
this.stopCallback = null;
}
super.start();
}
/**
* Stop this listener container, invoking the specific callback
* once all listener processing has actually stopped.
* <p>Note: Further {@code stop(runnable)} calls (before processing
* has actually stopped) will override the specified callback. Only the
* latest specified callback will be invoked.
* <p>If a subsequent {@link #start()} call restarts the listener container
* before it has fully stopped, the callback will not get invoked at all.
* @param callback the callback to invoke once listener processing
* has fully stopped
* @throws JmsException if stopping failed
* @see #stop()
*/
@Override
public void stop(Runnable callback) throws JmsException {
synchronized (this.lifecycleMonitor) {
if (!isRunning() || this.stopCallback != null) {
// Not started, already stopped, or previous stop attempt in progress
// -> return immediately, no stop process to control anymore.
callback.run();
return;
}
this.stopCallback = callback;
}
stop();
}
/**
* Return the number of currently scheduled consumers.
* <p>This number will always be between "concurrentConsumers" and
* "maxConcurrentConsumers", but might be higher than "activeConsumerCount"
* (in case some consumers are scheduled but not executing at the moment).
* @see #getConcurrentConsumers()
* @see #getMaxConcurrentConsumers()
* @see #getActiveConsumerCount()
*/
public final int getScheduledConsumerCount() {
synchronized (this.lifecycleMonitor) {
return this.scheduledInvokers.size();
}
}
/**
* Return the number of currently active consumers.
* <p>This number will always be between "concurrentConsumers" and
* "maxConcurrentConsumers", but might be lower than "scheduledConsumerCount"
* (in case some consumers are scheduled but not executing at the moment).
* @see #getConcurrentConsumers()
* @see #getMaxConcurrentConsumers()
* @see #getActiveConsumerCount()
*/
public final int getActiveConsumerCount() {
synchronized (this.lifecycleMonitor) {
return this.activeInvokerCount;
}
}
/**
* Return whether at least one consumer has entered a fixed registration with the
* target destination. This is particularly interesting for the pub-sub case where
* it might be important to have an actual consumer registered that is guaranteed
* not to miss any messages that are just about to be published.
* <p>This method may be polled after a {@link #start()} call, until asynchronous
* registration of consumers has happened which is when the method will start returning
* {@code true} – provided that the listener container ever actually establishes
* a fixed registration. It will then keep returning {@code true} until shutdown,
* since the container will hold on to at least one consumer registration thereafter.
* <p>Note that a listener container is not bound to having a fixed registration in
* the first place. It may also keep recreating consumers for every invoker execution.
* This particularly depends on the {@link #setCacheLevel cache level} setting:
* only {@link #CACHE_CONSUMER} will lead to a fixed registration.
*/
public boolean isRegisteredWithDestination() {
synchronized (this.lifecycleMonitor) {
return (this.registeredWithDestination > 0);
}
}
/**
* Create a default TaskExecutor. Called if no explicit TaskExecutor has been specified.
* <p>The default implementation builds a {@link org.springframework.core.task.SimpleAsyncTaskExecutor}
* with the specified bean name (or the class name, if no bean name specified) as thread name prefix.
* @see org.springframework.core.task.SimpleAsyncTaskExecutor#SimpleAsyncTaskExecutor(String)
*/
protected TaskExecutor createDefaultTaskExecutor() {
String beanName = getBeanName();
String threadNamePrefix = (beanName != null ? beanName + "-" : DEFAULT_THREAD_NAME_PREFIX);
return new SimpleAsyncTaskExecutor(threadNamePrefix);
}
/**
* Schedule a new invoker, increasing the total number of scheduled
* invokers for this listener container.
*/
private void scheduleNewInvoker() {
AsyncMessageListenerInvoker invoker = new AsyncMessageListenerInvoker();
if (rescheduleTaskIfNecessary(invoker)) {
// This should always be true, since we're only calling this when active.
this.scheduledInvokers.add(invoker);
}
}
/**
* Use a shared JMS Connection depending on the "cacheLevel" setting.
* @see #setCacheLevel
* @see #CACHE_CONNECTION
*/
@Override
protected final boolean sharedConnectionEnabled() {
return (getCacheLevel() >= CACHE_CONNECTION);
}
/**
* Re-executes the given task via this listener container's TaskExecutor.
* @see #setTaskExecutor
*/
@Override
protected void doRescheduleTask(Object task) {
this.taskExecutor.execute((Runnable) task);
}
/**
* Tries scheduling a new invoker, since we know messages are coming in...
* @see #scheduleNewInvokerIfAppropriate()
*/
@Override
protected void messageReceived(Object invoker, Session session) {
((AsyncMessageListenerInvoker) invoker).setIdle(false);
scheduleNewInvokerIfAppropriate();
}
/**
* Marks the affected invoker as idle.
*/
@Override
protected void noMessageReceived(Object invoker, Session session) {
((AsyncMessageListenerInvoker) invoker).setIdle(true);
}
/**
* Schedule a new invoker, increasing the total number of scheduled
* invokers for this listener container, but only if the specified
* "maxConcurrentConsumers" limit has not been reached yet, and only
* if the specified "idleConsumerLimit" has not been reached either.
* <p>Called once a message has been received, in order to scale up while
* processing the message in the invoker that originally received it.
* @see #setTaskExecutor
* @see #getMaxConcurrentConsumers()
* @see #getIdleConsumerLimit()
*/
protected void scheduleNewInvokerIfAppropriate() {
if (isRunning()) {
resumePausedTasks();
synchronized (this.lifecycleMonitor) {
if (this.scheduledInvokers.size() < this.maxConcurrentConsumers &&
getIdleInvokerCount() < this.idleConsumerLimit) {
scheduleNewInvoker();
if (logger.isDebugEnabled()) {
logger.debug("Raised scheduled invoker count: " + this.scheduledInvokers.size());
}
}
}
}
}
/**
* Determine whether the current invoker should be rescheduled,
* given that it might not have received a message in a while.
* @param idleTaskExecutionCount the number of idle executions
* that this invoker task has already accumulated (in a row)
*/
private boolean shouldRescheduleInvoker(int idleTaskExecutionCount) {
boolean superfluous =
(idleTaskExecutionCount >= this.idleTaskExecutionLimit && getIdleInvokerCount() > 1);
return (this.scheduledInvokers.size() <=
(superfluous ? this.concurrentConsumers : this.maxConcurrentConsumers));
}
/**
* Determine whether this listener container currently has more
* than one idle instance among its scheduled invokers.
*/
private int getIdleInvokerCount() {
int count = 0;
for (AsyncMessageListenerInvoker invoker : this.scheduledInvokers) {
if (invoker.isIdle()) {
count++;
}
}
return count;
}
/**
* Overridden to accept a failure in the initial setup - leaving it up to the
* asynchronous invokers to establish the shared Connection on first access.
* @see #refreshConnectionUntilSuccessful()
*/
@Override
protected void establishSharedConnection() {
try {
super.establishSharedConnection();
}
catch (Exception ex) {
if (ex instanceof JMSException) {
invokeExceptionListener((JMSException) ex);
}
logger.debug("Could not establish shared JMS Connection - " +
"leaving it up to asynchronous invokers to establish a Connection as soon as possible", ex);
}
}
/**
* This implementations proceeds even after an exception thrown from
* {@code Connection.start()}, relying on listeners to perform
* appropriate recovery.
*/
@Override
protected void startSharedConnection() {
try {
super.startSharedConnection();
}
catch (Exception ex) {
logger.debug("Connection start failed - relying on listeners to perform recovery", ex);
}
}
/**
* This implementations proceeds even after an exception thrown from
* {@code Connection.stop()}, relying on listeners to perform
* appropriate recovery after a restart.
*/
@Override
protected void stopSharedConnection() {
try {
super.stopSharedConnection();
}
catch (Exception ex) {
logger.debug("Connection stop failed - relying on listeners to perform recovery after restart", ex);
}
}
/**
* Handle the given exception that arose during setup of a listener.
* Called for every such exception in every concurrent listener.
* <p>The default implementation logs the exception at warn level
* if not recovered yet, and at debug level if already recovered.
* Can be overridden in subclasses.
* @param ex the exception to handle
* @param alreadyRecovered whether a previously executing listener
* already recovered from the present listener setup failure
* (this usually indicates a follow-up failure than can be ignored
* other than for debug log purposes)
* @see #recoverAfterListenerSetupFailure()
*/
protected void handleListenerSetupFailure(Throwable ex, boolean alreadyRecovered) {
if (ex instanceof JMSException) {
invokeExceptionListener((JMSException) ex);
}
if (ex instanceof SharedConnectionNotInitializedException) {
if (!alreadyRecovered) {
logger.info("JMS message listener invoker needs to establish shared Connection");
}
}
else {
// Recovery during active operation..
if (alreadyRecovered) {
logger.debug("Setup of JMS message listener invoker failed - already recovered by other invoker", ex);
}
else {
StringBuilder msg = new StringBuilder();
msg.append("Setup of JMS message listener invoker failed for destination '");
msg.append(getDestinationDescription()).append("' - trying to recover. Cause: ");
msg.append(ex instanceof JMSException ? JmsUtils.buildExceptionMessage((JMSException) ex) : ex.getMessage());
if (logger.isDebugEnabled()) {
logger.warn(msg, ex);
}
else {
logger.warn(msg);
}
}
}
}
/**
* Recover this listener container after a listener failed to set itself up,
* for example re-establishing the underlying Connection.
* <p>The default implementation delegates to DefaultMessageListenerContainer's
* recovery-capable {@link #refreshConnectionUntilSuccessful()} method, which will
* try to re-establish a Connection to the JMS provider both for the shared
* and the non-shared Connection case.
* @see #refreshConnectionUntilSuccessful()
* @see #refreshDestination()
*/
protected void recoverAfterListenerSetupFailure() {
this.recovering = true;
try {
refreshConnectionUntilSuccessful();
refreshDestination();
}
finally {
this.recovering = false;
this.interrupted = false;
}
}
/**
* Refresh the underlying Connection, not returning before an attempt has been
* successful. Called in case of a shared Connection as well as without shared
* Connection, so either needs to operate on the shared Connection or on a
* temporary Connection that just gets established for validation purposes.
* <p>The default implementation retries until it successfully established a
* Connection, for as long as this message listener container is running.
* Applies the specified recovery interval between retries.
* @see #setRecoveryInterval
* @see #start()
* @see #stop()
*/
protected void refreshConnectionUntilSuccessful() {
BackOffExecution execution = this.backOff.start();
while (isRunning()) {
try {
if (sharedConnectionEnabled()) {
refreshSharedConnection();
}
else {
Connection con = createConnection();
JmsUtils.closeConnection(con);
}
logger.info("Successfully refreshed JMS Connection");
break;
}
catch (Exception ex) {
if (ex instanceof JMSException) {
invokeExceptionListener((JMSException) ex);
}
StringBuilder msg = new StringBuilder();
msg.append("Could not refresh JMS Connection for destination '");
msg.append(getDestinationDescription()).append("' - retrying using ");
msg.append(execution).append(". Cause: ");
msg.append(ex instanceof JMSException ? JmsUtils.buildExceptionMessage((JMSException) ex) : ex.getMessage());
if (logger.isDebugEnabled()) {
logger.error(msg, ex);
}
else {
logger.error(msg);
}
}
if (!applyBackOffTime(execution)) {
StringBuilder msg = new StringBuilder();
msg.append("Stopping container for destination '")
.append(getDestinationDescription())
.append("': back-off policy does not allow ").append("for further attempts.");
logger.error(msg.toString());
stop();
}
}
}
/**
* Refresh the JMS destination that this listener container operates on.
* <p>Called after listener setup failure, assuming that a cached Destination
* object might have become invalid (a typical case on WebLogic JMS).
* <p>The default implementation removes the destination from a
* DestinationResolver's cache, in case of a CachingDestinationResolver.
* @see #setDestinationName
* @see org.springframework.jms.support.destination.CachingDestinationResolver
*/
protected void refreshDestination() {
String destName = getDestinationName();
if (destName != null) {
DestinationResolver destResolver = getDestinationResolver();
if (destResolver instanceof CachingDestinationResolver) {
((CachingDestinationResolver) destResolver).removeFromCache(destName);
}
}
}
/**
* Apply the next back-off time using the specified {@link BackOffExecution}.
* <p>Return {@code true} if the back-off period has been applied and a new
* attempt to recover should be made, {@code false} if no further attempt
* should be made.
* @since 4.1
*/
protected boolean applyBackOffTime(BackOffExecution execution) {
if (this.recovering && this.interrupted) {
// Interrupted right before and still failing... give up.
return false;
}
long interval = execution.nextBackOff();
if (interval == BackOffExecution.STOP) {
return false;
}
else {
try {
synchronized (this.lifecycleMonitor) {
this.lifecycleMonitor.wait(interval);
}
}
catch (InterruptedException interEx) {
// Re-interrupt current thread, to allow other threads to react.
Thread.currentThread().interrupt();
if (this.recovering) {
this.interrupted = true;
}
}
return true;
}
}
/**
* Return whether this listener container is currently in a recovery attempt.
* <p>May be used to detect recovery phases but also the end of a recovery phase,
* with {@code isRecovering()} switching to {@code false} after having been found
* to return {@code true} before.
* @see #recoverAfterListenerSetupFailure()
*/
public final boolean isRecovering() {
return this.recovering;
}
//-------------------------------------------------------------------------
// Inner classes used as internal adapters
//-------------------------------------------------------------------------
/**
* Runnable that performs looped {@code MessageConsumer.receive()} calls.
*/
private class AsyncMessageListenerInvoker implements SchedulingAwareRunnable {
private Session session;
private MessageConsumer consumer;
private Object lastRecoveryMarker;
private boolean lastMessageSucceeded;
private int idleTaskExecutionCount = 0;
private volatile boolean idle = true;
@Override
public void run() {
synchronized (lifecycleMonitor) {
activeInvokerCount++;
lifecycleMonitor.notifyAll();
}
boolean messageReceived = false;
try {
if (maxMessagesPerTask < 0) {
messageReceived = executeOngoingLoop();
}
else {
int messageCount = 0;
while (isRunning() && messageCount < maxMessagesPerTask) {
messageReceived = (invokeListener() || messageReceived);
messageCount++;
}
}
}
catch (Throwable ex) {
clearResources();
if (!this.lastMessageSucceeded) {
// We failed more than once in a row or on startup -
// wait before first recovery attempt.
waitBeforeRecoveryAttempt();
}
this.lastMessageSucceeded = false;
boolean alreadyRecovered = false;
synchronized (recoveryMonitor) {
if (this.lastRecoveryMarker == currentRecoveryMarker) {
handleListenerSetupFailure(ex, false);
recoverAfterListenerSetupFailure();
currentRecoveryMarker = new Object();
}
else {
alreadyRecovered = true;
}
}
if (alreadyRecovered) {
handleListenerSetupFailure(ex, true);
}
}
finally {
synchronized (lifecycleMonitor) {
decreaseActiveInvokerCount();
lifecycleMonitor.notifyAll();
}
if (!messageReceived) {
this.idleTaskExecutionCount++;
}
else {
this.idleTaskExecutionCount = 0;
}
synchronized (lifecycleMonitor) {
if (!shouldRescheduleInvoker(this.idleTaskExecutionCount) || !rescheduleTaskIfNecessary(this)) {
// We're shutting down completely.
scheduledInvokers.remove(this);
if (logger.isDebugEnabled()) {
logger.debug("Lowered scheduled invoker count: " + scheduledInvokers.size());
}
lifecycleMonitor.notifyAll();
clearResources();
}
else if (isRunning()) {
int nonPausedConsumers = getScheduledConsumerCount() - getPausedTaskCount();
if (nonPausedConsumers < 1) {
logger.error("All scheduled consumers have been paused, probably due to tasks having been rejected. " +
"Check your thread pool configuration! Manual recovery necessary through a start() call.");
}
else if (nonPausedConsumers < getConcurrentConsumers()) {
logger.warn("Number of scheduled consumers has dropped below concurrentConsumers limit, probably " +
"due to tasks having been rejected. Check your thread pool configuration! Automatic recovery " +
"to be triggered by remaining consumers.");
}
}
}
}
}
private boolean executeOngoingLoop() throws JMSException {
boolean messageReceived = false;
boolean active = true;
while (active) {
synchronized (lifecycleMonitor) {
boolean interrupted = false;
boolean wasWaiting = false;
while ((active = isActive()) && !isRunning()) {
if (interrupted) {
throw new IllegalStateException("Thread was interrupted while waiting for " +
"a restart of the listener container, but container is still stopped");
}
if (!wasWaiting) {
decreaseActiveInvokerCount();
}
wasWaiting = true;
try {
lifecycleMonitor.wait();
}
catch (InterruptedException ex) {
// Re-interrupt current thread, to allow other threads to react.
Thread.currentThread().interrupt();
interrupted = true;
}
}
if (wasWaiting) {
activeInvokerCount++;
}
if (scheduledInvokers.size() > maxConcurrentConsumers) {
active = false;
}
}
if (active) {
messageReceived = (invokeListener() || messageReceived);
}
}
return messageReceived;
}
private boolean invokeListener() throws JMSException {
initResourcesIfNecessary();
boolean messageReceived = receiveAndExecute(this, this.session, this.consumer);
this.lastMessageSucceeded = true;
return messageReceived;
}
private void decreaseActiveInvokerCount() {
activeInvokerCount--;
if (stopCallback != null && activeInvokerCount == 0) {
stopCallback.run();
stopCallback = null;
}
}
private void initResourcesIfNecessary() throws JMSException {
if (getCacheLevel() <= CACHE_CONNECTION) {
updateRecoveryMarker();
}
else {
if (this.session == null && getCacheLevel() >= CACHE_SESSION) {
updateRecoveryMarker();
this.session = createSession(getSharedConnection());
}
if (this.consumer == null && getCacheLevel() >= CACHE_CONSUMER) {
this.consumer = createListenerConsumer(this.session);
synchronized (lifecycleMonitor) {
registeredWithDestination++;
}
}
}
}
private void updateRecoveryMarker() {
synchronized (recoveryMonitor) {
this.lastRecoveryMarker = currentRecoveryMarker;
}
}
private void clearResources() {
if (sharedConnectionEnabled()) {
synchronized (sharedConnectionMonitor) {
JmsUtils.closeMessageConsumer(this.consumer);
JmsUtils.closeSession(this.session);
}
}
else {
JmsUtils.closeMessageConsumer(this.consumer);
JmsUtils.closeSession(this.session);
}
if (this.consumer != null) {
synchronized (lifecycleMonitor) {
registeredWithDestination--;
}
}
this.consumer = null;
this.session = null;
}
/**
* Apply the back-off time once. In a regular scenario, the back-off is only applied if we
* failed to recover with the broker. This additional wait period avoids a burst retry
* scenario when the broker is actually up but something else if failing (i.e. listener
* specific).
*/
private void waitBeforeRecoveryAttempt() {
BackOffExecution execution = DefaultMessageListenerContainer.this.backOff.start();
applyBackOffTime(execution);
}
@Override
public boolean isLongLived() {
return (maxMessagesPerTask < 0);
}
public void setIdle(boolean idle) {
this.idle = idle;
}
public boolean isIdle() {
return this.idle;
}
}
}