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消息队列 Pulsar 版(TDMQ for Apache Pulsar,简称 TDMQ Pulsar 版)是一款基于 Apache Pulsar 自研的消息中间件,具备极好的云原生和 Serverless 特性,兼容 Pulsar 的各个组件与概念,具备计算存储分离,灵活扩缩容的底层优势。
TDMQ Pulsar 版采用 BookKeeper 一致性协议实现数据强一致性,将消息数据备份写到不同物理机上,并且同步刷盘。当某台物理机出故障时,后台数据复制机制能够对数据快速迁移,保证用户数据备份可用。
TDMQ Pulsar 版能够高效支持百万级消息生产消费以及海量消息堆积,单集群 QPS 超过10万,同时在时耗方面有保护机制来保证低延迟,帮助您轻松满足业务性能需求。
TDMQ Pulsar 版计算与存储架构的分离设计,使得 TDMQ Pulsar 版可以轻松支持百万级消息主题。相比于市场上其他 MQ 产品,整个集群不会因为 Topic 数量增加而导致性能急剧下降。
TDMQ Pulsar 版提供丰富的消息类型,涵盖普通消息、顺序消息(全局顺序 / 分区顺序)、分布式事务消息、定时消息,满足各种严苛场景下的高级特性需求。
TDMQ Pulsar 版的消费者数量不受限于 Topic 的分区个数,并且会按照一定的算法均衡每个消费者的消息量,业务可按需启动对应的消费者数量。
提供按租户对 Topic 进行隔离的机制,同时可精确管控各个租户的生产和消费速率,保证租户之间互不影响,消息的处理不会出现资源竞争的现象。
每笔交易订单数据需要被几十个下游业务系统关注,包括物品批价、发货、积分、流计算分析等,多个系统对消息的处理逻辑不一致,单个系统不可能去适配每一个关联业务。此时,TDMQ Pulsar 版可实现高效的异步通信和应用解耦,确保主站业务的连续性。
企业不定时举办的一些营销活动,新品发布上线,节日抢红包等,往往都会带来临时性的流量洪峰,这对后端的各个应用系统考验是十分巨大的。TDMQ Pulsar 版此时便可以承担一个缓冲器的角色,将上游突增的请求集中收集,下游可以根据自己的实际处理能力来消费请求消息。
顺序消息的应用出现在业务场景中。例如APP或者游戏中商品购买与发放过程中的订单创建、支付、退款等流程都是严格按照顺序执行的,与先进先出(First In First Out,FIFO)原理类似,TDMQ RocketMQ 版提供一种专门应对这种情形的顺序消息功能,即保证消息 FIFO。
如果有多个数据中心存在,需要在多个数据中心之间消费,那么 TDMQ Pulsar 版可以非常方便实现数据中心之间的同步。
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