November 2022
Beginner to intermediate
346 pages
11h
Chinese
Content preview from Kafka权威指南（第2版）
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132
｜
第
7
章
结果写入主题并提交偏移量。一般来说，这是一个比较复杂的问题，建议尝试使用其他框
架，比如
Kafka Streams
或
Flink
，它们为聚合
、连接、时间窗和其他复杂的分析操作提供
了高级的
DSL
API
。
7.6
验证系统可靠性
经过了所有这些流程（确认可靠性需求、配置
broker
、配置客户端和正确使用
API
），现在
可以把所有东西都部署到生产环境中，然后高枕无忧，自信不会丢失任何消息了，对吗？
建议还是先对系统可靠性做
3
个层面的验证
：验证配置、验证应用程序以及在生产环境中
监控可靠性。下面来看看每一步都需要验证什么以及如何验证。
7.6.1
验证配置
可以抛开应用程序逻辑，单独验证
broker
和客户端的配置。之所以建议这么做，主要是因
为以下两个原因。
•
有助于验证配置是否能够满足需求。
•
有助于了解系统的预期行为。
Kafka
提供了两个重要的配置验证工具
：
org.apache.kafka.tools
包下面的
VerifiableProducer
类和
VerifiableConsumer
类。可以在命令行中运行这两个工具，或把它们嵌入自动化测试框
架中。
VerifiableProducer
会生成一系列消息，消息里包含了一个从
1
到指定数字的数字。可以
使用与真实的生产者相同的配置参数来配置
VerifiableProducer
，比如配置相同的
acks
、
retries
、
delivery.timeout.ms
和消息生成速率。在运行过程中，
VerifiableProducer
会根据收到的确认响应将每条消息发送成功或失败的结果打印出来 ...
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