[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
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[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/21356 I think the behavior in your change (trying to keep things running) is fine. Since the queues are isolated now, there's no risk of bad listeners affecting important ones (like the ones used for dynamic allocation or building the UI) and causing cascading issues, which was a risk in the previous versions. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user squito commented on the issue: https://github.com/apache/spark/pull/21356 the problem was not actually an interrupted exception from the listener, it was that the Thread's state was getting set to interrupted, and then there would be a failure later in `queue.take()`: ``` 18/05/16 17:46:36 INFO scheduler.AsyncEventQueue: Stopping listener queue eventLog. java.lang.InterruptedException at java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireInterruptibly(AbstractQueuedSynchronizer.java:1220) at java.util.concurrent.locks.ReentrantLock.lockInterruptibly(ReentrantLock.java:335) at java.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:439) at org.apache.spark.scheduler.AsyncEventQueue$$anonfun$org$apache$spark$scheduler$AsyncEventQueue$$dispatch$1.apply(AsyncEventQueue.scala:94) ... ``` so really the question is what to do if a listener sets the interrupt state *or* throws an InterruptedException. But from all the discussion its not that clear to me what we should (other than of course preventing the queue from hanging and the applciation from stopping). --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user zsxwing commented on the issue: https://github.com/apache/spark/pull/21356 The code here is just propagating the interrupt state and is not doing anything wrong. @squito do you know what would cause this in the first place? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/21356
@zsxwing Imran knows more since he debugged it, but I see a lot of code
like this in Hadoop libraries:
```
try { ... } catch (InterruptedException ie) {
// log or something
Thread.currentThread().interrupt();
}
```
Which could cause things like this. I don't know what would cause the
exception in the first place, but the fact that the library is propagating the
interrupt to the caller explains why Spark is seeing it in one of its own calls.
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[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user zsxwing commented on the issue: https://github.com/apache/spark/pull/21356 @vanzin I just want to understand the real issue here to make sure the current solution is correct. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/21356 So, to clarify a little more what the previous code did: `ListenerBus.postToAll()` catches non-fatal exceptions from each individual listener and ignores them; but `InterruptedException` is not one of those, so the old code would stop the context like Imran says. If we just wanted to emulate the old behavior we could do that, although I agree it's better to try not to do that. It's weird that HDFS would be throwing that exception in the caller thread, but at the same time, it's an issue that we have to work around, since even if they fix HDFS, there are just so many versions out there for that to not matter much. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user zsxwing commented on the issue: https://github.com/apache/spark/pull/21356 > hdfs can interrupt the thread. @squito Could you clarify this? This sounds like a bug in HDFS. I'm curious when this will happen. Although we don't interrupt the AsyncEventQueue thread in Spark right now, I think it's still better to respect InterruptedException rather than ignoring it, e.g., we may decide to interrupt the thread in future. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user skonto commented on the issue: https://github.com/apache/spark/pull/21356 > I'm pretty sure the existing use of PoisonPill is intentionally put at the end of the queue, so that the > everything is processed before the queue is shut down. Yes I guessed that, I was just thinking that knowing that its to time shut down is one thing and consuming all input is another. anyway. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user squito commented on the issue: https://github.com/apache/spark/pull/21356 > As an alternative design option, PoisonPill could be handled differently, since some msgs should have higher priority and can be considered them as part of your "control plane". I'm pretty sure the existing use of PoisonPill is intentionally put at the end of the queue, so that the everything is processed before the queue is shut down. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user squito commented on the issue: https://github.com/apache/spark/pull/21356 I pushed an update which only removes the listener which was active at the interrupt. Note that is not the same thing as the listener which *caused* the interrupt, necessarily -- we have no idea who caused the interrupt really, but I guess it would be rather contrived for another Thread to interrupt the event queue threads. I'm not sure if I should leave some more guards against interrupts as well -- eg. check the interrupted status before posting the event to a specific listener, and if its set throwing InterruptedException, and leaving the generic handling of InterruptedException in the AsyncEventQueue, to shut the queue down entirely if there is any interrupt *outside* of a posting to a listener. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user skonto commented on the issue: https://github.com/apache/spark/pull/21356 Also PoisonPill could be handled differently some msgs should have higher priority, consider them as part of your control plane. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/21356 Since `InterruptedException` is fatal, maybe it's not safe to keep calling this listener, but stopping the entire queue seems an overkill. Shall we just remove this listener from the queue? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user squito commented on the issue: https://github.com/apache/spark/pull/21356 > does this mean a problematic listener can kill the queue and crash other listeners in the same queue? Shall we do some isolation? yeah I think marcelo was asking about this above https://github.com/apache/spark/pull/21356#discussion_r189100750 of course, we can't stop a listener from causing an OOM or launching 20 threads and hogging the CPU, but we could try for a little more isolation ... > Not introduced by this PR, but I'm wondering why we only catch InterruptedException? what about other exceptions? NonFatal is already handled inside [`ListenerBus.postToAll`](https://github.com/apache/spark/blob/d4a0895c628ca854895c3c35c46ed990af36ec61/core/src/main/scala/org/apache/spark/util/ListenerBus.scala#L81-L84) --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/21356 does this mean a problematic listener can kill the queue and crash other listeners in the same queue? Shall we do some isolation? Not introduced by this PR, but I'm wondering why we only catch `InterruptedException`? what about other exceptions? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
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[GitHub] spark issue #21356: [SPARK-24309][CORE] AsyncEventQueue should stop on inter...
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