Description
If you have a fleet of Stream workers for an application and attempt to shut them down simultaneously (e.g. via SIGTERM and Runtime.getRuntime().addShutdownHook() and streams.close())), a large number of the workers fail to shutdown.
The problem appears to be a race condition between the shutdown signal and the consumer rebalancing that is triggered by some of the workers existing before others. Apparently, workers that receive the signal later fail to exit apparently as they are caught in the rebalance.
Terminating workers in a rolling fashion is not advisable in some situations. The rolling shutdown will result in many unnecessary rebalances and may fail, as the application may have large amount of local state that a smaller number of nodes may not be able to store.
It would appear that there is a need for a protocol change to allow the coordinator to signal a consumer group to shutdown without leading to rebalancing.
Attachments
Issue Links
- relates to
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KAFKA-6943 Have option to shutdown KS cleanly if any threads crashes, or if all threads crash
- Closed
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KAFKA-10015 React Smartly to Unexpected Errors on Stream Threads
- Closed