October 2021
Beginner to intermediate
250 pages
7h 11m
Chinese
Content preview from 微服务与事件驱动架构
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68
｜
第
5
章
在重新分配分区时，工作通常会暂时挂起以避免争用分区的情况。这可以确保在分配分区
给新实例之前，其他实例不再处理任何被废除的分区，从而消除任何潜在的重复输出。
5.4.1
使用分区分配器分配分区
处理大数据通常需要多个消费者微服务实例，无论是专用流处理框架还是基础的生产者
/
消费者实现。
分区分配器
可以确保将分区以均衡和公平的方式分配给处理实例。
每当在消费者组中添加或删除消费者实例时，分区分配器都负责重新分配分区。根据所选
择的事件代理，此组件可能被构建到消费者客户端中，或者由事件代理维护。
5.4.2
分配协同分区
分区分配器还负责确保满足所有协同分区的需求。所有标记为协同分区的分区必须分配给
同一个消费者实例。这将确保为给定的微服务实例分配正确的事件数据子集，以执行其业
务逻辑。这方面的最佳实践是分区分配器实现校验机制，可以查看事件流是否具有相等的
分区数，并在不相等时抛出异常。
5.4.3
分区分配策略
在消费者实例处理能力相同的情况下，分区分配算法的目标是确保分区在消费者实例中均
匀分布。分区分配算法也可能有次要目标，比如减少在再平衡期间重新分配的分区数量。
当处理跨多个数据存储实例的物化状态分片时，这一点尤其重要，因为重新分配分区会导
致将来的更新进入错误的分片。第
7
章将进一步探讨关于内部状态存储的概念。
分配分区有许多常用的策略。默认策略可能会因框架或实现的不同而有所不同，但以下
3
种策略往往是最常用的。
1.
循环分配
所有分区都被记录到一个列表中，并以循环方式分配给每个消费者实例。为协同分区流保 ...
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