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Jerry Wei edited comment on KAFKA-10134 at 7/14/20, 12:21 AM: -------------------------------------------------------------- [~guozhang], yes, [~seanguo] and I are working on the same issue. I've verified PR:https://github.com/apache/kafka/pull/9011. looks like the CPU issue has gone away, but the new consumer spends much more long time joining group than before, it's about 2mins. was (Author: zhowei): [~guozhang], yes, [~seanguo] and I are working on the same issue. I've verified PR:https://github.com/apache/kafka/pull/9011. looks like the CPU issue is gone away, but the new consumer spends much more long time joining group than before, it's about 2mins. > High CPU issue during rebalance in Kafka consumer after upgrading to 2.5 > ------------------------------------------------------------------------ > > Key: KAFKA-10134 > URL: https://issues.apache.org/jira/browse/KAFKA-10134 > Project: Kafka > Issue Type: Bug > Components: clients > Affects Versions: 2.5.0 > Reporter: Sean Guo > Assignee: Guozhang Wang > Priority: Blocker > Fix For: 2.6.0, 2.5.1 > > > We want to utilize the new rebalance protocol to mitigate the stop-the-world > effect during the rebalance as our tasks are long running task. > But after the upgrade when we try to kill an instance to let rebalance happen > when there is some load(some are long running tasks >30S) there, the CPU will > go sky-high. It reads ~700% in our metrics so there should be several threads > are in a tight loop. We have several consumer threads consuming from > different partitions during the rebalance. This is reproducible in both the > new CooperativeStickyAssignor and old eager rebalance rebalance protocol. The > difference is that with old eager rebalance rebalance protocol used the high > CPU usage will dropped after the rebalance done. But when using cooperative > one, it seems the consumers threads are stuck on something and couldn't > finish the rebalance so the high CPU usage won't drop until we stopped our > load. Also a small load without long running task also won't cause continuous > high CPU usage as the rebalance can finish in that case. > > "executor.kafka-consumer-executor-4" #124 daemon prio=5 os_prio=0 > cpu=76853.07ms elapsed=841.16s tid=0x00007fe11f044000 nid=0x1f4 runnable > [0x00007fe119aab000]"executor.kafka-consumer-executor-4" #124 daemon prio=5 > os_prio=0 cpu=76853.07ms elapsed=841.16s tid=0x00007fe11f044000 nid=0x1f4 > runnable [0x00007fe119aab000] java.lang.Thread.State: RUNNABLE at > org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.poll(ConsumerCoordinator.java:467) > at > org.apache.kafka.clients.consumer.KafkaConsumer.updateAssignmentMetadataIfNeeded(KafkaConsumer.java:1275) > at > org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1241) > at > org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1216) > at > > By debugging into the code we found it looks like the clients are in a loop > on finding the coordinator. > I also tried the old rebalance protocol for the new version the issue still > exists but the CPU will be back to normal when the rebalance is done. > Also tried the same on the 2.4.1 which seems don't have this issue. So it > seems related something changed between 2.4.1 and 2.5.0. > -- This message was sent by Atlassian Jira (v8.3.4#803005)