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Posted to issues@storm.apache.org by "Stig Rohde Døssing (JIRA)" <ji...@apache.org> on 2017/08/16 04:46:00 UTC
[jira] [Commented] (STORM-2494) KafkaSpout does not handle
CommitFailedException
[ https://issues.apache.org/jira/browse/STORM-2494?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16128296#comment-16128296 ]
Stig Rohde Døssing commented on STORM-2494:
-------------------------------------------
[~hmclouro] This is caused by using the subscribe API. I don't think we should try to make the code work around this. Upgrading to 1.2.0 for https://issues.apache.org/jira/browse/STORM-2640 will solve this.
> KafkaSpout does not handle CommitFailedException
> ------------------------------------------------
>
> Key: STORM-2494
> URL: https://issues.apache.org/jira/browse/STORM-2494
> Project: Apache Storm
> Issue Type: Bug
> Components: storm-kafka-client
> Affects Versions: 1.1.0
> Reporter: Yuri Barseghyan
> Assignee: Hugo Louro
>
> In situations when tuple processing takes longer than session timeout, we get CommitFailedException and instead of recovering from it Storm worker dies.
> {code}
> 2017-04-26 11:07:04.902 o.a.s.util [ERROR] Async loop died!
> org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.
> \tat org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:578) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:519) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:679) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:658) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.RequestFuture$1.onSuccess(RequestFuture.java:167) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:133) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:107) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient$RequestFutureCompletionHandler.onComplete(ConsumerNetworkClient.java:426) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:278) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.clientPoll(ConsumerNetworkClient.java:360) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:224) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:192) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:163) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.commitOffsetsSync(ConsumerCoordinator.java:404) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.KafkaConsumer.commitSync(KafkaConsumer.java:1058) ~[stormjar.jar:3.0.2]
> \tat org.apache.storm.kafka.spout.KafkaSpout.commitOffsetsForAckedTuples(KafkaSpout.java:384) ~[stormjar.jar:3.0.2]
> \tat org.apache.storm.kafka.spout.KafkaSpout.nextTuple(KafkaSpout.java:219) ~[stormjar.jar:3.0.2]
> \tat org.apache.storm.daemon.executor$fn__4976$fn__4991$fn__5022.invoke(executor.clj:644) ~[storm-core-1.1.0.jar:1.1.0]
> \tat org.apache.storm.util$async_loop$fn__557.invoke(util.clj:484) [storm-core-1.1.0.jar:1.1.0]
> \tat clojure.lang.AFn.run(AFn.java:22) [clojure-1.7.0.jar:?]
> \tat java.lang.Thread.run(Thread.java:748) [?:1.8.0_131]
> 2017-04-26 11:07:04.909 o.a.s.d.executor [ERROR]
> org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.
> \tat org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:578) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:519) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:679) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:658) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.RequestFuture$1.onSuccess(RequestFuture.java:167) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:133) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:107) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient$RequestFutureCompletionHandler.onComplete(ConsumerNetworkClient.java:426) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:278) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.clientPoll(ConsumerNetworkClient.java:360) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:224) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:192) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:163) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.KafkaConsumer.commitSync(KafkaConsumer.java:1058) ~[stormjar.jar:3.0.2]
> \tat org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.commitOffsetsSync(ConsumerCoordinator.java:404) ~[stormjar.jar:3.0.2]
> \tat org.apache.storm.kafka.spout.KafkaSpout.commitOffsetsForAckedTuples(KafkaSpout.java:384) ~[stormjar.jar:3.0.2]
> \tat org.apache.storm.kafka.spout.KafkaSpout.nextTuple(KafkaSpout.java:219) ~[stormjar.jar:3.0.2]
> \tat org.apache.storm.daemon.executor$fn__4976$fn__4991$fn__5022.invoke(executor.clj:644) ~[storm-core-1.1.0.jar:1.1.0]
> \tat org.apache.storm.util$async_loop$fn__557.invoke(util.clj:484) [storm-core-1.1.0.jar:1.1.0]
> \tat clojure.lang.AFn.run(AFn.java:22) [clojure-1.7.0.jar:?]
> \tat java.lang.Thread.run(Thread.java:748) [?:1.8.0_131]
> 2017-04-26 11:07:04.953 o.a.s.util [ERROR] Halting process: (\"Worker died\")
> java.lang.RuntimeException: (\"Worker died\")
> \tat org.apache.storm.util$exit_process_BANG_.doInvoke(util.clj:341) [storm-core-1.1.0.jar:1.1.0]
> \tat clojure.lang.RestFn.invoke(RestFn.java:423) [clojure-1.7.0.jar:?]
> \tat org.apache.storm.daemon.worker$fn__5646$fn__5647.invoke(worker.clj:763) [storm-core-1.1.0.jar:1.1.0]
> \tat org.apache.storm.daemon.executor$mk_executor_data$fn__4863$fn__4864.invoke(executor.clj:274) [storm-core-1.1.0.jar:1.1.0]
> \tat org.apache.storm.util$async_loop$fn__557.invoke(util.clj:494) [storm-core-1.1.0.jar:1.1.0]
> \tat clojure.lang.AFn.run(AFn.java:22) [clojure-1.7.0.jar:?]
> \tat java.lang.Thread.run(Thread.java:748) [?:1.8.0_131]
> 2017-04-26 11:07:44.507 o.a.s.k.s.KafkaSpoutRetryExponentialBackoff [DEBUG] Instantiated KafkaSpoutRetryExponentialBackoff{delay=TimeInterval{length=0, timeUnit=SECONDS}, ratio=TimeInterval{length=2, timeUnit=MILLISECONDS}, maxRetries=2147483647, maxRetryDelay=TimeInterval{length=10, timeUnit=SECONDS}}
> 2017-04-26 11:07:44.516 o.a.s.k.s.KafkaSpoutRetryExponentialBackoff [DEBUG] Instantiated KafkaSpoutRetryExponentialBackoff{delay=TimeInterval{length=0, timeUnit=SECONDS}, ratio=TimeInterval{length=0, timeUnit=MILLISECONDS}, maxRetries=2147483647, maxRetryDelay=TimeInterval{length=0, timeUnit=MILLISECONDS}}
> 2017-04-26 11:07:45.048 o.a.s.k.s.KafkaSpout [INFO] Kafka Spout opened with the following configuration: KafkaSpoutConfig{kafkaProps={enable.auto.commit=false, request.timeout.ms=30000, group.id=Group1, bootstrap.servers=192.168.1.143:9092, session.timeout.ms=20000}, key=org.apache.kafka.common.serialization.StringDeserializer@1b5080fd, value=org.apache.kafka.common.serialization.StringDeserializer@2720873b, pollTimeoutMs=200, offsetCommitPeriodMs=5000, maxUncommittedOffsets=1000, firstPollOffsetStrategy=UNCOMMITTED_EARLIEST, subscription=org.apache.storm.kafka.spout.NamedSubscription@7f068c1f, translator=org.apache.storm.kafka.spout.SimpleRecordTranslator@1f1ca6a2, retryService=KafkaSpoutRetryExponentialBackoff{delay=TimeInterval{length=0, timeUnit=SECONDS}, ratio=TimeInterval{length=2, timeUnit=MILLISECONDS}, maxRetries=2147483647, maxRetryDelay=TimeInterval{length=10, timeUnit=SECONDS}}}
> 2017-04-26 11:07:45.111 o.a.s.k.s.KafkaSpout [INFO] Kafka Spout opened with the following configuration: KafkaSpoutConfig{kafkaProps={enable.auto.commit=false, request.timeout.ms=30000, group.id=Group2, bootstrap.servers=192.168.1.143:9092, session.timeout.ms=20000}, key=org.apache.kafka.common.serialization.StringDeserializer@45ffa954, value=org.apache.kafka.common.serialization.StringDeserializer@4b384f9b, pollTimeoutMs=200, offsetCommitPeriodMs=5000, maxUncommittedOffsets=1000, firstPollOffsetStrategy=UNCOMMITTED_EARLIEST, subscription=org.apache.storm.kafka.spout.NamedSubscription@4f07c224, translator=org.apache.storm.kafka.spout.SimpleRecordTranslator@a0545a0, retryService=KafkaSpoutRetryExponentialBackoff{delay=TimeInterval{length=0, timeUnit=SECONDS}, ratio=TimeInterval{length=2, timeUnit=MILLISECONDS}, maxRetries=2147483647, maxRetryDelay=TimeInterval{length=10, timeUnit=SECONDS}}}
> 2017-04-26 11:07:45.297 o.a.s.k.s.NamedSubscription [INFO] Kafka consumer subscribed topics [topic-1]
> 2017-04-26 11:07:45.302 o.a.s.k.s.NamedSubscription [INFO] Kafka consumer subscribed topics [topic-2]
> 2017-04-26 11:07:45.456 o.a.s.k.s.KafkaSpout [INFO] Partitions revoked. [consumer-group=Group1, consumer=org.apache.kafka.clients.consumer.KafkaConsumer@32cbdbb0, topic-partitions=[]]
> 2017-04-26 11:07:45.463 o.a.s.k.s.KafkaSpout [INFO] Partitions revoked. [consumer-group=Group1, consumer=org.apache.kafka.clients.consumer.KafkaConsumer@275d5222, topic-partitions=[]]
> 2017-04-26 11:07:45.545 o.a.s.k.s.KafkaSpout [INFO] Partitions reassignment. [consumer-group=Group1, consumer=org.apache.kafka.clients.consumer.KafkaConsumer@275d5222, topic-partitions=[topic-1]]
> 2017-04-26 11:07:45.546 o.a.s.k.s.KafkaSpout [INFO] Partitions reassignment. [consumer-group=Group1, consumer=org.apache.kafka.clients.consumer.KafkaConsumer@32cbdbb0, topic-partitions=[topic-2]]
> 2017-04-26 11:07:45.551 o.a.s.k.s.i.OffsetManager [DEBUG] Instantiated OffsetManager{topic-partition=topic-1, fetchOffset=11803, committedOffset=11802, ackedMsgs=[]}
> 2017-04-26 11:07:45.551 o.a.s.k.s.i.OffsetManager [DEBUG] Instantiated OffsetManager{topic-partition=topic-2, fetchOffset=11801, committedOffset=11800, ackedMsgs=[]}
> 2017-04-26 11:07:45.552 o.a.s.k.s.KafkaSpout [INFO] Initialization complete
> 2017-04-26 11:07:45.552 o.a.s.k.s.KafkaSpout [INFO] Initialization complete
> {code}
> I think expected behaviour would be that KafkaSpout would recover from exception (client will reconnect and get partitions reassigned) without worker getting killed.
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