Hello Karthik,
You may check the execution-buffer-timeout-interval parameter. This value
is an important one for your case. I had a similar issue experienced in the
past.
https://nightlies.apache.org/flink/flink-docs-release-1.18/docs/deployment/config/#execution-buffer-timeout-interval
For your
退订
Hi, Wang.
What about just increasing the parallemism to reduce the number of keys
processed per parallelism? Is the distribution
of keys uneven? If so, you can use the datastream api to manually implement
some optimization methods of flink sql.[1]
[1]
https://nightlies.apache.org/flink/flin
Hi, Kartik.
On flink ui, is there any operator that maintains a relatively high busy? Could
you also try using a flame graph to provide more information?[1]
[1]
https://nightlies.apache.org/flink/flink-docs-master/docs/ops/debugging/flame_graphs/
--
Best!
Xuyang
At 2024-03-30 1