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https://issues.apache.org/activemq/browse/CAMEL-1510?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=51174#action_51174
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Christopher Hunt commented on CAMEL-1510:
-----------------------------------------
Hi guys,
Thanks for this great dialogue.
With regards to:
_I think that's also an issue in the original code (i.e. in the codebase, not
Christopher's proposal): the batch sender has always been interrupted whenever
a message was enequeued. From a user's perspective there's no noticable batch
timeout, for example, when the batchTimout is set to 1000 ms and every 300 ms
there is a message coming in (assuming the batch size is 100). Normally, the
batch processor should send 3 messages after the timout occurs but using the
original code it would send more (I'd expect 100 messages)_
I do not believe that is the case with the original code or my proposal. The
queue is only drained into the collection if the batch times out. Using my code
to illustrate:
{code}
if (!exchangeQueued) {
drainQueueTo(collection, batchSize);
}
{code}
Furthermore sendExchanges would not even be called unless the batch is complete
given the following block:
{code}
if (exchangeQueued) {
exchangeQueued = false;
queueMutex.unlock();
try {
while (isInBatchCompleted(queue.size())) {
queueMutex.lock();
try {
drainQueueTo(collection, batchSize);
} finally {
queueMutex.unlock();
}
}
if (!isOutBatchCompleted()) {
continue;
}
} finally {
queueMutex.lock();
}
}
{code}
... if the batch is not completed then the loop will continue.
On the re-factoring, please bear in mind that in essence, all that I have done
is moved blocks of existing code around and used a condition to signal when
adding to the queue.
> BatchProcessor interrupt has side effects
> -----------------------------------------
>
> Key: CAMEL-1510
> URL: https://issues.apache.org/activemq/browse/CAMEL-1510
> Project: Apache Camel
> Issue Type: Bug
> Components: camel-core
> Affects Versions: 1.6.0, 2.0-M1
> Environment: Mac OS X
> Reporter: Christopher Hunt
> Priority: Critical
>
> I have noticed that the BatchProcessor class uses the Thread class interrupt
> method to wake the run loop from sleeping within the enqueueExchange method.
> The unfortunate side effect of this is that if the run loop is in the middle
> of processing exchanges, and the processing involves something slow like
> establishing a JMS connection over SSL or queuing to an asynchronous
> processor, then the processing can become interrupted. The consequence of
> this side effect is that the batch sender thread rarely gets the opportunity
> to complete properly and exceptions regarding the interrupt are thrown.
> This all became apparent during some performance testing that resulted in
> continuously adding exchanges to the aggregator, the threshold becoming
> reached, and then trying to enqueue the aggregated result to a JMS queue.
> If my analysis of the BatchProcessor is correct then I would recommend finer
> grained concurrency controls being used instead of relying upon interrupting
> a thread. Perhaps something like the following (untested) re-write of the
> sender:
> {code}
> private class BatchSender extends Thread {
> private Queue<Exchange> queue;
> private boolean exchangeQueued = false;
> private Lock queueMutex = new ReentrantLock();
> private Condition queueCondition = queueMutex.newCondition();
> public BatchSender() {
> super("Batch Sender");
> this.queue = new LinkedList<Exchange>();
> }
> public void cancel() {
> interrupt();
> }
> private void drainQueueTo(Collection<Exchange> collection, int
> batchSize) {
> for (int i = 0; i < batchSize; ++i) {
> Exchange e = queue.poll();
> if (e != null) {
> collection.add(e);
> } else {
> break;
> }
> }
> }
> public void enqueueExchange(Exchange exchange) {
> queueMutex.lock();
> try {
> queue.add(exchange);
> exchangeQueued = true;
> queueCondition.signal();
> } finally {
> queueMutex.unlock();
> }
> }
> @Override
> public void run() {
> queueMutex.lock();
> try {
> do {
> try {
> if (!exchangeQueued) {
> queueCondition.await(batchTimeout,
> TimeUnit.MILLISECONDS);
> if (!exchangeQueued) {
> drainQueueTo(collection, batchSize);
> }
> }
> if (exchangeQueued) {
> exchangeQueued = false;
> queueMutex.unlock();
> try {
> while (isInBatchCompleted(queue.size())) {
> queueMutex.lock();
> try {
> drainQueueTo(collection, batchSize);
> } finally {
> queueMutex.unlock();
> }
> }
> if (!isOutBatchCompleted()) {
> continue;
> }
> } finally {
> queueMutex.lock();
> }
> }
> queueMutex.unlock();
> try {
> try {
> sendExchanges();
> } catch (Exception e) {
> getExceptionHandler().handleException(e);
> }
> } finally {
> queueMutex.lock();
> }
> } catch (InterruptedException e) {
> break;
> }
> } while (true);
> } finally {
> queueMutex.unlock();
> }
> }
> private void sendExchanges() throws Exception {
> Iterator<Exchange> iter = collection.iterator();
> while (iter.hasNext()) {
> Exchange exchange = iter.next();
> iter.remove();
> processExchange(exchange);
> }
> }
> }
> {code}
> I have replaced the concurrent queue with a regular linked list and mutexed
> its access. In addition any queuing of exchanges is noted. This should result
> in less locking.
> The main change though is that queuing an exchange does not interrupt the
> batch sender's current activity.
> I hope that this sample is useful.
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