我有一个kafka streams应用程序版本-0.11，它从几个主题中获取数据，并将数据合并到另一个主题中。
Kafka配置：

5 kafka brokers - version 0.11
Kafka Topics - 15 partitions and 3 replication factor.

每小时消耗/产生几百万张唱片。每当我搞垮Kafka经纪人时，都会抛出以下例外：

org.apache.kafka.streams.errors.LockException: task [4_10] Failed to lock the state directory for task 4_10
    at org.apache.kafka.streams.processor.internals.ProcessorStateManager.<init>(ProcessorStateManager.java:99)
    at org.apache.kafka.streams.processor.internals.AbstractTask.<init>(AbstractTask.java:80)
    at org.apache.kafka.streams.processor.internals.StandbyTask.<init>(StandbyTask.java:62)
    at org.apache.kafka.streams.processor.internals.StreamThread.createStandbyTask(StreamThread.java:1325)
    at org.apache.kafka.streams.processor.internals.StreamThread.access$2400(StreamThread.java:73)
    at org.apache.kafka.streams.processor.internals.StreamThread$StandbyTaskCreator.createTask(StreamThread.java:313)
    at org.apache.kafka.streams.processor.internals.StreamThread$AbstractTaskCreator.retryWithBackoff(StreamThread.java:254)
    at org.apache.kafka.streams.processor.internals.StreamThread.addStandbyTasks(StreamThread.java:1366)
    at org.apache.kafka.streams.processor.internals.StreamThread.access$1200(StreamThread.java:73)
    at org.apache.kafka.streams.processor.internals.StreamThread$RebalanceListener.onPartitionsAssigned(StreamThread.java:185)
    at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.onJoinComplete(ConsumerCoordinator.java:265)
    at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.joinGroupIfNeeded(AbstractCoordinator.java:363)
    at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureActiveGroup(AbstractCoordinator.java:310)
    at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.poll(ConsumerCoordinator.java:297)
    at org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:1078)
    at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1043)
    at org.apache.kafka.streams.processor.internals.StreamThread.pollRequests(StreamThread.java:582)
    at org.apache.kafka.streams.processor.internals.StreamThread.runLoop(StreamThread.java:553)
    at org.apache.kafka.streams.processor.internals.StreamThread.run(StreamThread.java:527)

我读过几篇关于jira的文章，认为清理流可能有助于解决这个问题。但是每次启动kafka流应用程序时清除流是正确的解决方案还是修补程序？而且，流清理会延迟应用程序的启动，对吗？
注意：每次启动kafka streams应用程序时，是否需要在调用streams.start（）之前调用streams.cleanup（）