Can do. Any advice on where the trace prints should go in the task manager source code?
BTW - How do I know I have a correctly configured cluster? Is there a set of messages in the job / task manager logs that indicate all required connectivity is present? I know I use the UI to make sure all the task managers are present, and that the job is running on all of them, but is there some verbiage in the logs that indicates the job manager can talk to all the task managers, and vice versa?
Thanks!
02.05.2017, 06:03, "Ufuk Celebi" <u...@apache.org>:
Hey Chet! I'm wondering why you are only seeing 2 registration
messages for 3 task managers. Unfortunately, there is no log message
at the task managers when they send out the notification. Is it
possible for you to run a remote debugger with the task managers or
build a custom Flink version with the appropriate log messages on the
task manager side?
– Ufuk
On Fri, Apr 28, 2017 at 2:20 PM, Chet Masterson
<chet.master...@yandex.com> wrote:Any insight here? I've got a situation where a key value state on a task
manager is being registered with the job manager, but when I try to query
it, the job manager responds it doesn't know the location of the key value
state...
26.04.2017, 12:11, "Chet Masterson" <chet.master...@yandex.com>:
After setting the logging to DEBUG on the job manager, I learned four
things:
(On the message formatting below, I have the Flink logs formatted into JSON
so I can import them into Kibana)
1. The appropriate key value state is registered in both parallelism = 1 and
parallelism = 3 environments. In parallelism = 1, I saw one registration
message in the log, in the parallelism = 3, I saw two registration messages:
{"level":"DEBUG","time":"2017-04-26
15:54:55,254","class":"org.apache.flink.runtime.jobmanager.JobManager","ndc":"",
"msg":"Key value state registered for job <job id> under name <statename>"}
2. When I issued the query in both parallelism = 1 and parallelism = 3
environments, I saw "Lookup key-value state for job <job id> with
registration name <statename>". In parallelism = 1, I saw 1 log message, in
parallelism = 3, I saw two identical messages.
3. I saw no other messages in the job manager log that seemed relevant.
4. When issuing the query in parallelism = 3, I continued to get the error:
org.apache.flink.runtime.query.UnknownKvStateKeyGroupLocation with a message
of null.
Thanks!
26.04.2017, 09:52, "Ufuk Celebi" <u...@apache.org>:
Thanks! Your config looks good to me.
Could you please set the log level org.apache.flink.runtime.jobmanager to
DEBUG?
log4j.logger.org.apache.flink.runtime.jobmanager=DEBUG
Then we can check whether the JobManager logs the registration of the
state instance with the respective name in the case of parallelism >
1?
Expected output is something like this: "Key value state registered
for job ${msg.getJobId} under name ${msg.getRegistrationName}."
– Ufuk
On Wed, Apr 26, 2017 at 3:06 PM, Chet Masterson
<chet.master...@yandex.com> wrote:
Ok...more information.
1. Built a fresh cluster from the ground up. Started testing queryable
state
at each step.
2. When running under any configuration of task managers and job managers
were parallelism = 1, the queries execute as expected.
3. As soon as I cross over to parallelism = 3 with 3 task managers (1 job
manager) feeding off a kafka topic partitioned three ways, queries will
always fail, returning error
(org.apache.flink.runtime.query.UnknownKvStateKeyGroupLocation) with an
error message of null.
4. I do know my state is as expected on the cluster. Liberal use of trace
prints show my state managed on the jobs is as I expect. However, I cannot
query them external.
5. I am sending the query to jobmanager.rpc.port = 6123, which I confirmed
is configured by using the job manager UI.
6. My flink-conf.yaml:
jobmanager.rpc.address: flink01
jobmanager.rpc.port: 6123
jobmanager.heap.mb: 256
taskmanager.heap.mb: 512
taskmanager.data.port: 6121
taskmanager.numberOfTaskSlots: 1
taskmanager.memory.preallocate: false
parallelism.default: 1
blob.server.port: 6130
jobmanager.web.port: 8081
query.server.enable: true
7. I do know my job is indeed running in parallel, from trace prints going
to the task manager logs.
Do I need a backend configured when running in parallel for the queryable
state? Do I need a shared temp directory on the task managers?
THANKS!
25.04.2017, 04:24, "Ufuk Celebi" <u...@apache.org>:
It's strange that the rpc port is set to 30000 when you use a
standalone cluster and configure 6123 as the port. I'm pretty sure
that the config has not been updated.
But everything should work as you say when you point it to the correct
jobmanager address and port. Could you please post the complete
stacktrace you get instead of the message you log?
On Mon, Apr 24, 2017 at 5:31 PM, Chet Masterson
<chet.master...@yandex.com> wrote:
More information:
0. I did remove the query.server.port and query.server.enabled from all
flink-conf.yaml files, and restarted the cluster.
1. The Akka error doesn't seem to have anything to do with the problem. If
I
point my query client at an IP address with no Flink server running at
all,
I get that error. It seems to be a (side effect?) timeout for "no flink
service is listening on the port you told me to check"
2. I did notice (using the Flink Web UI) even with the config file changes
in 0, and no changes to the default flink-conf.yaml the
jobmanager.rpc.port
(6123), on my cluster, jobmanager.rpc.port is set to 30000.
3. If I do send a query using the jobmanager.rpc.address and the
jobmanager.rpc.port as displayed in the Flink Web UI, the connection to
from
the client to Flink will be initiated and completed. When I try to execute
the query (code below), it will fail, and will get trapped. When I look at
the error message returned (e.getMessage() below), it is simply 'null':
try {
byte[] serializedResult = Await.result(future, new
FiniteDuration(maxQueryTime, TimeUnit.SECONDS));
// de-serialize, commented out for testing
return null;
}
catch (Exception e) {
logger.error("Queryable State Error:
"+key+"-"+flinkJobID+"-"+stateName+" Error: "+e.getMessage());
return null;
}
Should I be sending the query to the job manager on the the job manager's
rpc port when flink is clustered?
ALSO - I do know the state name I am trying to query exists, is populated,
and the job id exists. I also know the task managers are communicating
with
the job managers (task managers data port: 6121) and processed the data
that
resulted in the state variable I am trying to query being populated. All
this was logged.
24.04.2017, 10:34, "Ufuk Celebi" <u...@apache.org>:
Hey Chet! You can remove
query.server.port: 6123
query.server.enable: true
That shouldn't cause the Exception we see here though. I'm actually
not sure what is causing the PduCodecException. Could this be related
to different Akka versions being used in Flink and your client code?
[1] Is it possible for you to check this?
– Ufuk
[1] https://groups.google.com/forum/#!topic/akka-user/vr1uXsf9gW0
