Reputation: 26548
The Flink doc says:
A Flink cluster needs exactly as many task slots as the highest parallelism used in the job.
But when I run the WordCount example job with job parallelism=4 and 2 slots (2 TM * 1), what I observed was that the Dispatcher still accepted the job and finished some tasks, but a few minutes later this error happened:
org.apache.flink.runtime.jobmanager.scheduler.NoResourceAvailableException: Could not allocate enough slots within timeout of 300000 ms to run the job. Please make sure that the cluster has enough resources.
Is there a way I can configure my job to fail fast if parallelism is larger than the total number of slots?
Upvotes: 0
Views: 1368
Reputation: 2845
The flink job manager will try to find resource across your cluster.
You need to give the Job manager some time, obviously it`s depend on your cluster size and network.
You can change the slot.request.timeout in order to get the exception quicker.
Upvotes: 2