Run Flink with parallelism more than 1
may be i'm just missing smth, but i just have no more ideas where to look.
i read messages from 2 sources, make a join based on a common key and sink
it all to kafka.
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setParallelism(3)
...
source1
.keyBy(_.searchId)
.connect(source2.keyBy(_.searchId))
.process(new SearchResultsJoinFunction)
.addSink(KafkaSink.sink)
so it perfectly works when i launch it locally and it also works on cluster with Parallelism set to 1, but with 3 not any more.
When i deploy it to 1 job manager and 3 taskmanagers and get every Task in "RUNNING" state, after 2
minutes (when nothing is comming to sink) one of the taskmanagers gets the following log:
https://gist.github.com/zavalit/1b1bf6621bed2a3848a05c1ef84c689c#file-gistfile1-txt-L108
and the whole thing just shuts down.
i'll appreciate any hint.
tnx, in an advance.
parallel-processing apache-flink
asked Nov 13 '18 at 14:14
zavalitzavalit
16711
add a comment |
may be i'm just missing smth, but i just have no more ideas where to look.
i read messages from 2 sources, make a join based on a common key and sink
it all to kafka.
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setParallelism(3)
...
source1
.keyBy(_.searchId)
.connect(source2.keyBy(_.searchId))
.process(new SearchResultsJoinFunction)
.addSink(KafkaSink.sink)
so it perfectly works when i launch it locally and it also works on cluster with Parallelism set to 1, but with 3 not any more.
When i deploy it to 1 job manager and 3 taskmanagers and get every Task in "RUNNING" state, after 2
minutes (when nothing is comming to sink) one of the taskmanagers gets the following log:
https://gist.github.com/zavalit/1b1bf6621bed2a3848a05c1ef84c689c#file-gistfile1-txt-L108
and the whole thing just shuts down.
i'll appreciate any hint.
tnx, in an advance.
parallel-processing apache-flink
asked Nov 13 '18 at 14:14
zavalitzavalit
16711
add a comment |
may be i'm just missing smth, but i just have no more ideas where to look.
i read messages from 2 sources, make a join based on a common key and sink
it all to kafka.
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setParallelism(3)
...
source1
.keyBy(_.searchId)
.connect(source2.keyBy(_.searchId))
.process(new SearchResultsJoinFunction)
.addSink(KafkaSink.sink)
so it perfectly works when i launch it locally and it also works on cluster with Parallelism set to 1, but with 3 not any more.
When i deploy it to 1 job manager and 3 taskmanagers and get every Task in "RUNNING" state, after 2
minutes (when nothing is comming to sink) one of the taskmanagers gets the following log:
https://gist.github.com/zavalit/1b1bf6621bed2a3848a05c1ef84c689c#file-gistfile1-txt-L108
and the whole thing just shuts down.
i'll appreciate any hint.
tnx, in an advance.
parallel-processing apache-flink
asked Nov 13 '18 at 14:14
zavalitzavalit
16711
may be i'm just missing smth, but i just have no more ideas where to look.
i read messages from 2 sources, make a join based on a common key and sink
it all to kafka.
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setParallelism(3)
...
source1
.keyBy(_.searchId)
.connect(source2.keyBy(_.searchId))
.process(new SearchResultsJoinFunction)
.addSink(KafkaSink.sink)
so it perfectly works when i launch it locally and it also works on cluster with Parallelism set to 1, but with 3 not any more.
When i deploy it to 1 job manager and 3 taskmanagers and get every Task in "RUNNING" state, after 2
minutes (when nothing is comming to sink) one of the taskmanagers gets the following log:
https://gist.github.com/zavalit/1b1bf6621bed2a3848a05c1ef84c689c#file-gistfile1-txt-L108
and the whole thing just shuts down.
i'll appreciate any hint.
tnx, in an advance.
parallel-processing apache-flink
parallel-processing apache-flink
asked Nov 13 '18 at 14:14
zavalitzavalit
16711
asked Nov 13 '18 at 14:14
zavalitzavalit
16711
asked Nov 13 '18 at 14:14
zavalitzavalit
16711
asked Nov 13 '18 at 14:14
zavalitzavalit
16711
asked Nov 13 '18 at 14:14
zavalitzavalit
16711
16711
add a comment |
add a comment |
1 Answer
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The problem appears to be that this task manager -- flink-taskmanager-12-2qvcd (10.81.53.209) -- is unable to talk to at least one of the other task managers, namely flink-taskmanager-12-57jzd (10.81.40.124:46240). This is why the job never really starts to run.
I would check in the logs for this other task manager to see what it says, and I would also review your network configuration. Perhaps a firewall is getting in the way?
answered Nov 13 '18 at 21:34
David AndersonDavid Anderson
6,58421424
oh, man, you are completely right.! is there some akka cluster behind, where every node needs to now about every other node around him?
– zavalit
Nov 14 '18 at 10:30
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
The problem appears to be that this task manager -- flink-taskmanager-12-2qvcd (10.81.53.209) -- is unable to talk to at least one of the other task managers, namely flink-taskmanager-12-57jzd (10.81.40.124:46240). This is why the job never really starts to run.
I would check in the logs for this other task manager to see what it says, and I would also review your network configuration. Perhaps a firewall is getting in the way?
answered Nov 13 '18 at 21:34
David AndersonDavid Anderson
6,58421424
oh, man, you are completely right.! is there some akka cluster behind, where every node needs to now about every other node around him?
– zavalit
Nov 14 '18 at 10:30
add a comment |
The problem appears to be that this task manager -- flink-taskmanager-12-2qvcd (10.81.53.209) -- is unable to talk to at least one of the other task managers, namely flink-taskmanager-12-57jzd (10.81.40.124:46240). This is why the job never really starts to run.
I would check in the logs for this other task manager to see what it says, and I would also review your network configuration. Perhaps a firewall is getting in the way?
answered Nov 13 '18 at 21:34
David AndersonDavid Anderson
6,58421424
oh, man, you are completely right.! is there some akka cluster behind, where every node needs to now about every other node around him?
– zavalit
Nov 14 '18 at 10:30
add a comment |
The problem appears to be that this task manager -- flink-taskmanager-12-2qvcd (10.81.53.209) -- is unable to talk to at least one of the other task managers, namely flink-taskmanager-12-57jzd (10.81.40.124:46240). This is why the job never really starts to run.
I would check in the logs for this other task manager to see what it says, and I would also review your network configuration. Perhaps a firewall is getting in the way?
answered Nov 13 '18 at 21:34
David AndersonDavid Anderson
6,58421424
The problem appears to be that this task manager -- flink-taskmanager-12-2qvcd (10.81.53.209) -- is unable to talk to at least one of the other task managers, namely flink-taskmanager-12-57jzd (10.81.40.124:46240). This is why the job never really starts to run.
I would check in the logs for this other task manager to see what it says, and I would also review your network configuration. Perhaps a firewall is getting in the way?
answered Nov 13 '18 at 21:34
David AndersonDavid Anderson
6,58421424
answered Nov 13 '18 at 21:34
David AndersonDavid Anderson
6,58421424
answered Nov 13 '18 at 21:34
David AndersonDavid Anderson
6,58421424
answered Nov 13 '18 at 21:34
David AndersonDavid Anderson
6,58421424
6,58421424
oh, man, you are completely right.! is there some akka cluster behind, where every node needs to now about every other node around him?
– zavalit
Nov 14 '18 at 10:30
add a comment |
oh, man, you are completely right.! is there some akka cluster behind, where every node needs to now about every other node around him?
– zavalit
Nov 14 '18 at 10:30
oh, man, you are completely right.! is there some akka cluster behind, where every node needs to now about every other node around him?
– zavalit
Nov 14 '18 at 10:30
oh, man, you are completely right.! is there some akka cluster behind, where every node needs to now about every other node around him?
– zavalit
Nov 14 '18 at 10:30
add a comment |
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