Hi Jing,
I already sent emails to the mentioned email ids... the reply I got was, my email I’d is not available... Not sure why I am still receiving these emails On Mon, 26 Jul 2021 at 9:42 AM, JING ZHANG <beyond1...@gmail.com> wrote: > Hi Bhagi, > To unsubscribe emails from Flink JIRA activities, send an email to > issues-unsubscr...@flink.apache.org > > To unsubscribe emails from Flink dev mail list, send an email to dev- > unsubscr...@flink.apache.org > > To unsubscribe emails from Flink user mail list, send an email to user- > unsubscr...@flink.apache.org > > For more information, please go to [1]. > > [1] https://flink.apache.org/community.html > > Best, > JING ZHANG > > R Bhaaagi <bhagi.ramaha...@gmail.com> 于2021年7月23日周五 下午5:45写道： > > > Hi Team, > > > > Please unsubscribe me from all these emails.... > > > > On Fri, 23 Jul 2021 at 2:19 PM, LINZ, Arnaud <al...@bouyguestelecom.fr> > > wrote: > > > > > Hello, > > > > > > It’s hard to say what caused the timeout to trigger – I agree with you > > > that it should not have stopped the heartbeat thread, but it did. The > > easy > > > fix was to increase it until we no longer see our app self-killed. The > > task > > > was using a CPU-intensive computation (with a few threads created at > some > > > points… Somehow breaking the “slot number” contract). > > > For the RAM cache, I believe that the hearbeat timeout may also times > out > > > because of a busy network. > > > > > > Cheers, > > > Arnaud > > > > > > > > > De : Till Rohrmann <trohrm...@apache.org> > > > Envoyé : jeudi 22 juillet 2021 11:33 > > > À : LINZ, Arnaud <al...@bouyguestelecom.fr> > > > Cc : Gen Luo <luogen...@gmail.com>; Yang Wang <danrtsey...@gmail.com>; > > > dev <dev@flink.apache.org>; user <u...@flink.apache.org> > > > Objet : Re: [DISCUSS] FLIP-185: Shorter heartbeat timeout and interval > > > default values > > > > > > Thanks for your inputs Gen and Arnaud. > > > > > > I do agree with you, Gen, that we need better guidance for our users on > > > when to change the heartbeat configuration. I think this should happen > in > > > any case. I am, however, not so sure whether we can give hard threshold > > > like 5000 tasks, for example, because as Arnaud said it strongly > depends > > on > > > the workload. Maybe we can explain it based on symptoms a user might > > > experience and what to do then. > > > > > > Concerning your workloads, Arnaud, I'd be interested to learn a bit > more. > > > The user code runs in its own thread. This means that its operation > won't > > > block the main thread/heartbeat. The only thing that can happen is that > > the > > > user code starves the heartbeat in terms of CPU cycles or causes a lot > of > > > GC pauses. If you are observing the former problem, then we might think > > > about changing the priorities of the respective threads. This should > then > > > improve Flink's stability for these workloads and a shorter heartbeat > > > timeout should be possible. > > > > > > Also for the RAM-cached repositories, what exactly is causing the > > > heartbeat to time out? Is it because you have a lot of GC or that the > > > heartbeat thread does not get enough CPU cycles? > > > > > > Cheers, > > > Till > > > > > > On Thu, Jul 22, 2021 at 9:16 AM LINZ, Arnaud <al...@bouyguestelecom.fr > > > <mailto:al...@bouyguestelecom.fr>> wrote: > > > Hello, > > > > > > From a user perspective: we have some (rare) use cases where we use > > > “coarse grain” datasets, with big beans and tasks that do lengthy > > operation > > > (such as ML training). In these cases we had to increase the time out > to > > > huge values (heartbeat.timeout: 500000) so that our app is not killed. > > > I’m aware this is not the way Flink was meant to be used, but it’s a > > > convenient way to distribute our workload on datanodes without having > to > > > use another concurrency framework (such as M/R) that would require the > > > recoding of sources and sinks. > > > > > > In some other (most common) cases, our tasks do some R/W accesses to > > > RAM-cached repositories backed by a key-value storage such as Kudu (or > > > Hbase). If most of those calls are very fast, sometimes when the system > > is > > > under heavy load they may block more than a few seconds, and having our > > app > > > killed because of a short timeout is not an option. > > > > > > That’s why I’m not in favor of very short timeouts… Because in my > > > experience it really depends on what user code does in the tasks. (I > > > understand that normally, as user code is not a JVM-blocking activity > > such > > > as a GC, it should have no impact on heartbeats, but from experience, > it > > > really does) > > > > > > Cheers, > > > Arnaud > > > > > > > > > De : Gen Luo <luogen...@gmail.com<mailto:luogen...@gmail.com>> > > > Envoyé : jeudi 22 juillet 2021 05:46 > > > À : Till Rohrmann <trohrm...@apache.org<mailto:trohrm...@apache.org>> > > > Cc : Yang Wang <danrtsey...@gmail.com<mailto:danrtsey...@gmail.com>>; > > dev > > > <dev@flink.apache.org<mailto:dev@flink.apache.org>>; user < > > > u...@flink.apache.org<mailto:u...@flink.apache.org>> > > > Objet : Re: [DISCUSS] FLIP-185: Shorter heartbeat timeout and interval > > > default values > > > > > > Hi, > > > Thanks for driving this @Till Rohrmann<mailto:trohrm...@apache.org> . > I > > > would give +1 on reducing the heartbeat timeout and interval, though > I'm > > > not sure if 15s and 3s would be enough either. > > > > > > IMO, except for the standalone cluster, where the heartbeat mechanism > in > > > Flink is totally relied, reducing the heartbeat can also help JM to > find > > > out faster TaskExecutors in abnormal conditions that can not respond to > > the > > > heartbeat requests, e.g., continuously Full GC, though the process of > > > TaskExecutor is alive and may not be known by the deployment system. > > Since > > > there are cases that can benefit from this change, I think it could be > > done > > > if it won't break the experience in other scenarios. > > > > > > If we can address what will block the main threads from processing > > > heartbeats, or enlarge the GC costs, we can try to get rid of them to > > have > > > a more predictable response time of heartbeat, or give some advices to > > > users if their jobs may encounter these issues. For example, as far as > I > > > know JM of a large scale job will be more busy and may not able to > > process > > > heartbeats in time, then we can give a advice that users working with > job > > > large than 5000 tasks should enlarge there heartbeat interval to 10s > and > > > timeout to 50s. The numbers are written casually. > > > > > > As for the issue in FLINK-23216, I think it should be fixed and may not > > be > > > a main concern for this case. > > > > > > On Wed, Jul 21, 2021 at 6:26 PM Till Rohrmann <trohrm...@apache.org > > > <mailto:trohrm...@apache.org>> wrote: > > > Thanks for sharing these insights. > > > > > > I think it is no longer true that the ResourceManager notifies the > > > JobMaster about lost TaskExecutors. See FLINK-23216 [1] for more > details. > > > > > > Given the GC pauses, would you then be ok with decreasing the heartbeat > > > timeout to 20 seconds? This should give enough time to do the GC and > then > > > still send/receive a heartbeat request. > > > > > > I also wanted to add that we are about to get rid of one big cause of > > > blocking I/O operations from the main thread. With FLINK-22483 [2] we > > will > > > get rid of Filesystem accesses to retrieve completed checkpoints. This > > > leaves us with one additional file system access from the main thread > > which > > > is the one completing a pending checkpoint. I think it should be > possible > > > to get rid of this access because as Stephan said it only writes > > > information to disk that is already written before. Maybe solving these > > two > > > issues could ease concerns about long pauses of unresponsiveness of > > Flink. > > > > > > [1] https://issues.apache.org/jira/browse/FLINK-23216 > > > [2] https://issues.apache.org/jira/browse/FLINK-22483 > > > > > > Cheers, > > > Till > > > > > > On Wed, Jul 21, 2021 at 4:58 AM Yang Wang <danrtsey...@gmail.com > <mailto: > > > danrtsey...@gmail.com>> wrote: > > > Thanks @Till Rohrmann<mailto:trohrm...@apache.org> for starting this > > > discussion > > > > > > Firstly, I try to understand the benefit of shorter heartbeat timeout. > > > IIUC, it will make the JobManager aware of > > > TaskManager faster. However, it seems that only the standalone cluster > > > could benefit from this. For Yarn and > > > native Kubernetes deployment, the Flink ResourceManager should get the > > > TaskManager lost event in a very short time. > > > > > > * About 8 seconds, 3s for Yarn NM -> Yarn RM, 5s for Yarn RM -> Flink > RM > > > * Less than 1 second, Flink RM has a watch for all the TaskManager pods > > > > > > Secondly, I am not very confident to decrease the timeout to 15s. I > have > > > quickly checked the TaskManager GC logs > > > in the past week of our internal Flink workloads and find more than 100 > > > 10-seconds Full GC logs, but no one is bigger than 15s. > > > We are using CMS GC for old generation. > > > > > > > > > Best, > > > Yang > > > > > > Till Rohrmann <trohrm...@apache.org<mailto:trohrm...@apache.org>> > > > 于2021年7月17日周六 上午1:05写道： > > > Hi everyone, > > > > > > Since Flink 1.5 we have the same heartbeat timeout and interval default > > > values that are defined as heartbeat.timeout: 50s and > heartbeat.interval: > > > 10s. These values were mainly chosen to compensate for lengthy GC > pauses > > > and blocking operations that were executed in the main threads of > Flink's > > > components. Since then, there were quite some advancements wrt the > JVM's > > > GCs and we also got rid of a lot of blocking calls that were executed > in > > > the main thread. Moreover, a long heartbeat.timeout causes long > recovery > > > times in case of a TaskManager loss because the system can only > properly > > > recover after the dead TaskManager has been removed from the scheduler. > > > Hence, I wanted to propose to change the timeout and interval to: > > > > > > heartbeat.timeout: 15s > > > heartbeat.interval: 3s > > > > > > Since there is no perfect solution that fits all use cases, I would > > really > > > like to hear from you what you think about it and how you configure > these > > > heartbeat options. Based on your experience we might actually come up > > with > > > better default values that allow us to be resilient but also to detect > > > failed components fast. FLIP-185 can be found here [1]. > > > > > > [1] https://cwiki.apache.org/confluence/x/GAoBCw > > > > > > Cheers, > > > Till > > > > > > ________________________________ > > > > > > L'intégrité de ce message n'étant pas assurée sur internet, la société > > > expéditrice ne peut être tenue responsable de son contenu ni de ses > > pièces > > > jointes. Toute utilisation ou diffusion non autorisée est interdite. Si > > > vous n'êtes pas destinataire de ce message, merci de le détruire et > > > d'avertir l'expéditeur. > > > > > > The integrity of this message cannot be guaranteed on the Internet. The > > > company that sent this message cannot therefore be held liable for its > > > content nor attachments. Any unauthorized use or dissemination is > > > prohibited. If you are not the intended recipient of this message, then > > > please delete it and notify the sender. > > > > > -- > > Thanks & Regards, Bhagi > > > -- Thanks & Regards, Bhagi
