Yeah I saw FLINK-13184 earlier and started watching it. I can see the second optimization being helpful too in a large cluster. I’ll be watching this as well. Do you have an estimate as to turn around time? Would be helpful planning-wise.
From: Yang Wang <[hidden email]>
Sent: Thursday, October 31, 2019 4:08 AM
To: Chan, Regina [Engineering] <[hidden email]>
Cc: Till Rohrmann <[hidden email]>; user <[hidden email]>
Subject: Re: The RMClient's and YarnResourceManagers internal state about the number of pending container requests has diverged
I think till's analysis is right. I just want to share more information.
After dive into the logs of Flink resource manager and Yarn resource manager, i found that the excess
containers come from two sides.
** Yarn Container Allocation Mechanism **
Receive containers more than allocated is inescapable. Imagine that we want to allocate 120 containers
from Yarn. The size of container request in the heartbeat1 will be 120. When Yarn RM received the
request and can not allocate any container because of not enough resource. So the allocated containers in
response of heartbeat1 will be 0. The Flink resource manager does not get any containers and will
set the size of container request in heartbeat2 to 120. However, Yarn resource manager has allocated
120 containers between heartbeat1 to heartbeat2. When Yarn Resource Manager receives heartbeat2, it will
set the 120 containers to response of heartbeat2. And it start to allocate for the new request of 120. Since
Flink resource manager has received all containers, it will set the size of container request in heartbeat3 to 0.
Yarn Resource Manager allocate 100 containers between heartbeat2 to heartbeat3, it will set the 100 containers
to response of heartbeat3. So Flink Resource Manager gets the 100 excess containers.
Note: Heartbeat means the heartbeat between Flink resource manager(Yarn client) and Yarn resource manager.
** Flink resource manager allocates more than it really needs **
Now in the onContainersAllocated of FlinkYarnResourceManager, we iterate through each container.
And each process will take more than 50ms. The most time cost at uploading {uuid}-taskmanager-conf.yaml to hdfs
and starting container. So if the allocated containers are more than 10, FlinkYarnResourceManager could not remove
container request timely and will allocate more than it really needs.
The first cause of Yarn, we could not do anything more from Flink. However, for the second, we could reduce the time
costof each allocated container so that FlinkYarnResource will allocate as it really need. We could have two optimizations
here. The first is use NMClientAsync instead of NMClient to reduce the start container time.[1] The
second is do not upload {uuid}-taskmanager-conf.yaml, use java options or environments instead. [2]
Chan, Regina <[hidden email]> 于2019年10月31日周四 上午5:09写道：
Just to provide a little bit of context, this behavior is highly problematic since we run these jobs at scale. This one job when running on 1.6 over allocated 2500 containers. On 1.9, with a one-minute heartbeat interval, we were able to bring that number of excess containers down to 230. My fear is that 230 excess containers is due to the fact that we also moved this to a smaller cluster so that it doesn’t have the potential of causing wider impact it did on the main cluster. We have over 70K jobs running in a day so imagine how bad this could become so I definitely appreciate your attention to this.
I’m open to a minimum and max number of TaskExecutors, the max number is probably the biggest concern. Can help test this whenever it’s ready and again greatly appreciate it.
Separately I think this loosely ties to into another thread on the dlist so far which is the usecase of per program or per job semantics. As we have one program representing a datastore’s batch with one or many jobs per dataset representing the stages of processing. Using this paradigm I think of the program having a pool of resources to be used by the job(s) with some expiry. The pool can be enlarged through additional requests when needed with the jobs acquiring and releasing back to the pool without having to send new requests to YARN.
I believe perfect usage of this pool behavior would bring down the total requests from the 540 to 120 as 120+230=350 which means there’s still an additional request of 190 containers.
From: Till Rohrmann <[hidden email]>
Sent: Wednesday, October 30, 2019 2:01 PM
To: Yang Wang <[hidden email]>
Cc: Chan, Regina [Engineering] <[hidden email]>; user <[hidden email]>
Subject: Re: The RMClient's and YarnResourceManagers internal state about the number of pending container requests has diverged
Hi Regina, sorry for not getting back to you earlier. I've gone through the logs and I couldn't find something suspicious. What I can see though is the following:
When you start the cluster, you submit a couple of jobs. This starts at 9:20. In total 120 slots are being required to run these jobs. Since you start a TaskExecutor with a single slot, you need 120 containers to run all jobs. Flink has sent all container requests by 9:21:40. So far so good.
Shortly after, the cluster receives the first allocated containers. However, it lasts until 9:29:58 that Flink has received all 120 containers. I assume it is because the Hadoop cluster is quite contested. Afterwards one sees that 230 excess containers are being returned.
Given that the cluster is configured with yarn.heartbeat.container-request-interval: 60000, the Hadoop RM heartbeat is set to one minute. Hence, we report every minute the current number of required containers. Due to Yarn adding these requests up [1], it does not seem surprising that we end up with 230 excess containers. Assuming a constant container fulfillment we end up with 120 + 108 + 96 + ... + 12 + 0 = 540 requested containers on the Yarn RM side. This roughly matches the 120 + 230 (excess containers).
I'm not exactly sure how we can solve the Yarn problem. Flink would have to make sure that every container request is only sent once to the Yarn RM (e.g. canceling the container request after one heartbeat interval has been passed). However, this is not super trivial and might end up being super brittle.
Another idea could be to add a minimum and maximum number of `TaskExecutors` the cluster should keep alive. That way one would only pay the price of too many excess containers at startup but then the system would keep at least minimum number of TaskExecutors alive. If you wish this would imitate a bit the legacy mode Yarn behaviour where you start the cluster with a fixed number of TaskExecutors.
Cheers,
Till
On Wed, Oct 30, 2019 at 4:11 AM Yang Wang <[hidden email]> wrote:
Hi Chan,
If it is a bug, i think it is critical. Could you share the job manager logs with me too? I have some time to
analyze and hope to find the root cause.
Best,
Yang
Chan, Regina <[hidden email]> 于2019年10月30日周三 上午10:55写道：
Till, were you able find anything? Do you need more logs?
From: Till Rohrmann <[hidden email]>
Sent: Saturday, October 26, 2019 1:17 PM
To: Chan, Regina [Engineering] <[hidden email]>
Cc: Yang Wang <[hidden email]>; user <[hidden email]>
Subject: Re: The RMClient's and YarnResourceManagers internal state about the number of pending container requests has diverged
Forget my last email. I received the on time code and could access the logs.
Cheers,
Till
On Sat, Oct 26, 2019 at 6:49 PM Till Rohrmann <[hidden email]> wrote:
Hi Regina,
I couldn't access the log files because LockBox asked to create a new password and now it asks me for the one time code to confirm this change. It says that it will send the one time code to my registered email which I don't have.
Cheers,
Till
On Fri, Oct 25, 2019 at 10:14 PM Till Rohrmann <[hidden email]> wrote:
Great, thanks a lot Regina. I'll check the logs tomorrow. If info level is not enough, then I'll let you know.
Cheers,
Till
On Fri, Oct 25, 2019, 21:20 Chan, Regina <[hidden email]> wrote:
Till, I added you to this lockbox area where you should be able to download the logs. You should have also received an email with an account created in lockbox where you can set a password. Let me know if you have any issues.
From: Till Rohrmann <[hidden email]>
Sent: Friday, October 25, 2019 1:24 PM
To: Chan, Regina [Engineering] <[hidden email]>
Cc: Yang Wang <[hidden email]>; user <[hidden email]>
Subject: Re: The RMClient's and YarnResourceManagers internal state about the number of pending container requests has diverged
Could you provide me with the full logs of the cluster entrypoint/JobManager. I'd like to see what's going on there.
Cheers,
Till
On Fri, Oct 25, 2019, 19:10 Chan, Regina <[hidden email]> wrote:
Till,
We’re still seeing a large number of returned containers even with this heart beat set to something higher. Do you have hints as to what’s going on? It seems to be bursty in nature. The bursty requests cause the job to fail with the cluster not having enough resources because it’s in the process of releasing them.
“org.apache.flink.runtime.jobmanager.scheduler.NoResourceAvailableException: Could not allocate enough slots to run the job. Please make sure that the cluster has enough resources.” It causes the job to run very inconsistently.
Since legacy mode is now gone in 1.9, we don’t really see many options here.
Run Profile
Number of returned excess containers
12G per TM, 2 slots
yarn.heartbeat.container-request-interval=500685
12G per TM, 2 slots
yarn.heartbeat.container-request-interval=5000552
12G per TM, 2 slots
yarn.heartbeat.container-request-interval=10000331
10G per TM, 1 slots
yarn.heartbeat.container-request-interval=60000478
2019-10-25 09:55:51,452 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - Deploying CHAIN DataSource (synonym | Read Staging From File System | AVRO) -> Map (Map at readAvroFileWithFilter(FlinkReadUtils.java:78)) -> Map (Key Extractor) (14/90) (attempt #0) to container_e22_1571837093169_78279_01_000852 @ d50503-004-e22.dc.gs.com (dataPort=33579)
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000909 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000909.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000910 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000910.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000911 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000911.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000912 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000912.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000913 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000913.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000914 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000914.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000915 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000915.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000916 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000916.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000917 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000917.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000918 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000918.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000919 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000919.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000920 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000920.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000921 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000921.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000922 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000922.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000923 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000923.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000924 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000924.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000925 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000925.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000926 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000926.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000927 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000927.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000928 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000928.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000929 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000929.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000930 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000930.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000931 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000931.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000932 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000932.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000933 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000933.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000934 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000934.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000935 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000935.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000936 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000936.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000937 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000937.
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000939 - Remaining pending container requests: 0
2019-10-25 09:55:51,513 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000939.
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000940 - Remaining pending container requests: 0
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000940.
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000941 - Remaining pending container requests: 0
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000941.
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000942 - Remaining pending container requests: 0
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000942.
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000943 - Remaining pending container requests: 0
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000943.
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000944 - Remaining pending container requests: 0
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000944.
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000945 - Remaining pending container requests: 0
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000945.
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000946 - Remaining pending container requests: 0
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container container_e22_1571837093169_78279_01_000946.
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: container_e22_1571837093169_78279_01_000947 - Remaining pending container requests: 0
2019-10-25 09:55:51,514 INFO org.apache.flink.yarn.YarnResourceManager -
From: Chan, Regina [Engineering]
Sent: Wednesday, October 23, 2019 4:51 PM
To: 'Till Rohrmann' <[hidden email]>; Yang Wang <[hidden email]>
Cc: [hidden email]
Subject: RE: The RMClient's and YarnResourceManagers internal state about the number of pending container requests has diverged
Yeah thanks for the responses. We’re in the process of testing 1.9.1 after we found https://issues.apache.org/jira/browse/FLINK-12342 as the cause of the original issue. FLINK-9455 makes sense as to why it didn’t work on legacy mode.
From: Till Rohrmann <[hidden email]>
Sent: Wednesday, October 23, 2019 5:32 AM
To: Yang Wang <[hidden email]>
Cc: Chan, Regina [Engineering] <[hidden email]>; [hidden email]
Subject: Re: The RMClient's and YarnResourceManagers internal state about the number of pending container requests has diverged
Hi Regina,
When using the FLIP-6 mode, you can control how long it takes for an idle TaskManager to be released via resourcemanager.taskmanager-timeout. Per default it is set to 30s.
In the Flink version you are using, 1.6.4, we do not support TaskManagers with multiple slots properly [1]. The consequence is that Flink will request too many containers if you are using FLIP-6 and configured your TaskManagers to be started with more than a single slot. With Flink >= 1.7.0 this issue has been fixed.
For the problem with the legacy mode it seems that there is a bug in the YarnFlinkResourceManager where we decrement the number of pending container requests by 2 instead of 1 every time a container is allocated [2]. This could explain the difference.
Since the Flink community no longer actively maintains Flink 1.6, I was wondering whether it would be possible for you to upgrade to a later version of Flink? I believe that your observed problems are fixed in a more recent version (1.9.1).
On Wed, Oct 23, 2019 at 10:37 AM Yang Wang <[hidden email]> wrote:
Hi Chan,
After FLIP-6, the Flink ResourceManager dynamically allocate resource from Yarn on demand.
What's your flink version? On the current code base, if the pending containers in resource manager
is zero, then it will releaseall the excess containers. Could you please check the
"Remaining pending container requests" in your jm logs?
On the other hand, Flink should not allocate such many resources. Do you set the `taskmanager.numberOfTaskSlots`?
The default value is 1 and will allocate containers based on your max parallelism.
Best,
Yang
Chan, Regina <[hidden email]> 于2019年10月23日周三 上午12:40写道：
Hi,
One of our Flink jobs has a lot of tiny Flink Jobs (and some larger jobs) associated with it that then request and release resources as need as per the FLIP-6 mode. Internally we track how much parallelism we’ve used before submitting the new job so that we’re bounded by the expected top cap. What we found was that the job intermittently holds onto 20-40x what is expected and thereby eating into our cluster’s overall resources. It seems as if Flink isn’t releasing the resources back to Yarn quickly enough for these.
As an immediate stop gap, what I tried doing was just to revert to using legacy mode hoping that the resource utilization is then at least constant as per the number of task managers + slots + memory allocated. However, we then ran into this issue. Why would the client’s pending container requests still be 60 when Yarn shows it’s been allocated? What can we do here?
org.apache.flink.runtime.akka.StoppingSupervisorWithoutLoggingActorKilledExceptionStrategy - Actor failed with exception. Stopping it now.
java.lang.IllegalStateException: The RMClient's and YarnResourceManagers internal state about the number of pending container requests has diverged. Number client's pending container requests 60 != Number RM's pending container requests 0.
at org.apache.flink.util.Preconditions.checkState(Preconditions.java:217)
at org.apache.flink.yarn.YarnFlinkResourceManager.getPendingRequests(YarnFlinkResourceManager.java:520)
at org.apache.flink.yarn.YarnFlinkResourceManager.containersAllocated(YarnFlinkResourceManager.java:449)
at org.apache.flink.yarn.YarnFlinkResourceManager.handleMessage(YarnFlinkResourceManager.java:227)
at org.apache.flink.runtime.akka.FlinkUntypedActor.handleLeaderSessionID(FlinkUntypedActor.java:104)
at org.apache.flink.runtime.akka.FlinkUntypedActor.onReceive(FlinkUntypedActor.java:71)
at akka.actor.UntypedActor$$anonfun$receive$1.applyOrElse(UntypedActor.scala:165)
at akka.actor.Actor$class.aroundReceive(Actor.scala:502)
at akka.actor.UntypedActor.aroundReceive(UntypedActor.scala:95)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:526)
at akka.actor.ActorCell.invoke(ActorCell.scala:495)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:257)
at akka.dispatch.Mailbox.run(Mailbox.scala:224)
at akka.dispatch.Mailbox.exec(Mailbox.scala:234)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
JobManager logs: (full logs also attached)
2019-10-22 11:36:52,733 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Received new container: container_e102_1569128826219_23941567_01_000002 - Remaining pending container requests: 118
2019-10-22 11:36:52,734 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Launching TaskManager in container ContainerInLaunch @ 1571758612734: Container: [ContainerId: container_e102_1569128826219_23941567_01_000002, NodeId: d49111-041.dc.gs.com:45454, NodeHttpAddress: d49111-041.dc.gs.com:8042, Resource: <memory:12288, vCores:2>, Priority: 0, Token: Token { kind: ContainerToken, service: 10.59.83.235:45454 }, ] on host d49111-041.dc.gs.com
2019-10-22 11:36:52,736 INFO org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy - Opening proxy : d49111-041.dc.gs.com:45454
2019-10-22 11:36:52,784 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Received new container: container_e102_1569128826219_23941567_01_000003 - Remaining pending container requests: 116
2019-10-22 11:36:52,784 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Launching TaskManager in container ContainerInLaunch @ 1571758612784: Container: [ContainerId: container_e102_1569128826219_23941567_01_000003, NodeId: d49111-162.dc.gs.com:45454, NodeHttpAddress: d49111-162.dc.gs.com:8042, Resource: <memory:12288, vCores:2>, Priority: 0, Token: Token { kind: ContainerToken, service: 10.59.72.254:45454 }, ] on host d49111-162.dc.gs.com
….
Received new container: container_e102_1569128826219_23941567_01_000066 - Remaining pending container requests: 2
2019-10-22 11:36:53,409 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Launching TaskManager in container ContainerInLaunch @ 1571758613409: Container: [ContainerId: container_e102_1569128826219_23941567_01_000066, NodeId: d49111-275.dc.gs.com:45454, NodeHttpAddress: d49111-275.dc.gs.com:8042, Resource: <memory:12288, vCores:2>, Priority: 0, Token: Token { kind: ContainerToken, service: 10.50.199.239:45454 }, ] on host d49111-275.dc.gs.com
2019-10-22 11:36:53,411 INFO org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy - Opening proxy : d49111-275.dc.gs.com:45454
2019-10-22 11:36:53,418 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Received new container: container_e102_1569128826219_23941567_01_000067 - Remaining pending container requests: 0
2019-10-22 11:36:53,418 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Launching TaskManager in container ContainerInLaunch @ 1571758613418: Container: [ContainerId: container_e102_1569128826219_23941567_01_000067, NodeId: d49111-409.dc.gs.com:45454, NodeHttpAddress: d49111-409.dc.gs.com:8042, Resource: <memory:12288, vCores:2>, Priority: 0, Token: Token { kind: ContainerToken, service: 10.59.40.203:45454 }, ] on host d49111-409.dc.gs.com
2019-10-22 11:36:53,420 INFO org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy - Opening proxy : d49111-409.dc.gs.com:45454
2019-10-22 11:36:53,430 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Received new container: container_e102_1569128826219_23941567_01_000070 - Remaining pending container requests: 0
2019-10-22 11:36:53,430 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Launching TaskManager in container ContainerInLaunch @ 1571758613430: Container: [ContainerId: container_e102_1569128826219_23941567_01_000070, NodeId: d49111-167.dc.gs.com:45454, NodeHttpAddress: d49111-167.dc.gs.com:8042, Resource: <memory:12288, vCores:2>, Priority: 0, Token: Token { kind: ContainerToken, service: 10.51.138.251:45454 }, ] on host d49111-167.dc.gs.com
2019-10-22 11:36:53,432 INFO org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy - Opening proxy : d49111-167.dc.gs.com:45454
2019-10-22 11:36:53,439 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Received new container: container_e102_1569128826219_23941567_01_000072 - Remaining pending container requests: 0
2019-10-22 11:36:53,440 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Launching TaskManager in container ContainerInLaunch @ 1571758613439: Container: [ContainerId: container_e102_1569128826219_23941567_01_000072, NodeId: d49111-436.dc.gs.com:45454, NodeHttpAddress: d49111-436.dc.gs.com:8042, Resource: <memory:12288, vCores:2>, Priority: 0, Token: Token { kind: ContainerToken, service: 10.59.235.176:45454 }, ] on host d49111-436.dc.gs.com
2019-10-22 11:36:53,441 INFO org.apache.hadoop.yarn.client.api.impl.ContainerManagementProtocolProxy - Opening proxy : d49111-436.dc.gs.com:45454
2019-10-22 11:36:53,449 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Received new container: container_e102_1569128826219_23941567_01_000073 - Remaining pending container requests: 0
2019-10-22 11:36:53,449 INFO org.apache.flink.yarn.YarnFlinkResourceManager - Launching TaskManager in container ContainerInLaunch @ 1571758613449: Container: [ContainerId: container_e102_1569128826219_23941567_01_000073, NodeId: d49111-387.dc.gs.com:45454, NodeHttpAddress: d49111-387.dc.gs.com:8042, Resource: <memory:12288, vCores:2>, Priority: 0, Token: Token { kind: ContainerToken, service: 10.51.136.247:45454 }, ] on host d49111-387.dc.gs.com
…..
Thanks,
Regina
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Your Personal Data: We may collect and process information about you that may be subject to data protection laws. For more information about how we use and disclose your personal data, how we protect your information, our legal basis to use your information, your rights and who you can contact, please refer to: www.gs.com/privacy-notices
Your Personal Data: We may collect and process information about you that may be subject to data protection laws. For more information about how we use and disclose your personal data, how we protect your information, our legal basis to use your information, your rights and who you can contact, please refer to: www.gs.com/privacy-notices
Your Personal Data: We may collect and process information about you that may be subject to data protection laws. For more information about how we use and disclose your personal data, how we protect your information, our legal basis to use your information, your rights and who you can contact, please refer to: www.gs.com/privacy-notices
Your Personal Data: We may collect and process information about you that may be subject to data protection laws. For more information about how we use and disclose your personal data, how we protect your information, our legal basis to use your information, your rights and who you can contact, please refer to: www.gs.com/privacy-notices
Your Personal Data: We may collect and process information about you that may be subject to data protection laws. For more information about how we use and disclose your personal data, how we protect your information, our legal basis to use your information, your rights and who you can contact, please refer to: www.gs.com/privacy-notices
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