这已被问及并解决了几次,但由于我的知识非常有限,我无法找到问题的答案。
我有一个生产者将工作任务发送给消费者,该任务大约需要两个小时才能完成。我需要执行一次任务,但是它会一遍又一遍地重新开始。
我发现我的日志最有用的是
2018-05-15 15:18:23.731 WARN 6888 --- [container-0-C-1] o.a.k.c.c.internals.ConsumerCoordinator : [Consumer clientId=consumer-2, groupId=anonymous.1ae85859-db41-4dc2-a7e2-ab4268256e00] Synchronous auto-commit of offsets {consumer-message-0=OffsetAndMetadata{offset=34, metadata=''}} failed: 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 max.poll.interval.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.
这让我认为简单地将消费者任务包装在一个线程中会解决,但事实并非如此。
我的消费者的一些代码
@Component
@Slf4j
public class KafkaConsumer {
private final CommandRunnerService commandRunnerService;
public KafkaConsumer(CommandRunnerService commandRunnerService) {
this.commandRunnerService = commandRunnerService;
}
@StreamListener(KafkaStreams.INPUT)
public void handleWorkUnit(@Payload Steak steak) {
commandRunnerService.executeCreateSteak(steak);
}
}
这是handleWorkUnit
,需要几个小时才能完成。所以我的修复尝试是
@StreamListener(KafkaStreams.INPUT)
public void handleWorkUnit(@Payload Steak steak) {
Runnable task = () -> commandRunnerService.executeCreateSteak(steak);
task.run();
}
这没什么区别。
我正在使用开箱即用的配置,只有消费者设置的基础知识
spring:
application:
cloud:
stream:
kafka:
binder:
brokers: 192.168.0.100
bindings:
consumer-message:
destination: consumer-message
contentType: application/json
consumer-response:
destination: consumer-response
contentType: application/json
我正在使用的东西的版本:
ext {
springCloudVersion = 'Finchley.RC1'
}
dependencies {
compile('org.springframework.cloud:spring-cloud-stream')
compile('org.springframework.cloud:spring-cloud-stream-binder-kafka')
compile('org.springframework.kafka:spring-kafka')
}
如上所述,我在docs和SO上看过很多复杂的例子,但是我希望有一个简单的配置修复?或者一些更“初学者”友好的例子。
干杯,
答案 0 :(得分:4)
请尝试修改您的代码,如下所示。
@StreamListener(KafkaStreams.INPUT)
public void handleWorkUnit(@Payload Steak steak) {
Runnable task = () -> commandRunnerService.executeCreateSteak(steak);
new Thread(task).start();
}
在您的代码中,您没有创建任何线程。您的代码只是调用run
的{{1}}方法。
相关属性是消费者的 Runnable
及其默认值
5分钟。如果您在此期间未调用max.poll.interval.ms
方法,则您的经纪人会认为您的消费者失败了。可能这是你失败的原因(重新平衡和分配)