January 2018
Beginner to intermediate
234 pages
7h 8m
Chinese
Content preview from Kafka权威指南
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182
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第
10
章
表10-17：需要监控的度量指标
客户端 MBean
消费者
kafka.consumer:type=consumer-fetch-manager-metrics,client-id=CLIENTID
的属性
fetch-throttle-time-avg
生产者
kafka.producer:type=producer-metrics,client-id=CLIENTID
的属性
produce-throttle-time-avg
默认情况下，
broker
不会开启配额功能。不过不管有没有使用配额，监控这些指标总是没
有问题的。况且，它们有可能在未来某个时刻被启用，而且从一开始就监控它们要比在后
期添加更加容易。
10.4
延时监控
对于消费者来说，最需要被监控的指标是消费者的延时。它表示分区最后一个消息和消费
者最后读取的消息之间相差的消息个数。在之前的小节里已经说过，在这里，使用外部监
控要比使用客户端自己的监控好得多。虽然消费者提供了延时指标，但该指标存在一个问
题，它只表示单个分区的延时，也就是具有最大延时的那个分区，所以它不能准确地表示
消费者的延时。另外，它需要消费者做一些额外的操作，因为该指标是由消费者对每个发
出的请求进行计算得出的。如果消费者发生崩溃或者离线，那么该指标要么不准确，要么
不可用。
监控消费者延时最好的办法是使用外部进程，它能够观察
broker
的分区状态，跟踪最近消
息的偏移量，也能观察消费者的状态，跟踪消费者提交的最新偏移量。这种方式提供了一
种持续更新的客观视图，而且不依赖消费者的状态。我们需要在每一个分区上进行这种检 ...
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