It provides the functionality of a messaging system, but with a unique design.NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. There’s a definite trade-off with Kafka; we’ll have to shoulder a lot more operational complexity ourselves. We don’t need a fully connected graph here, but we Separate from the client library, here’s an example of what our message handling code might look like:If the third party fails for any reason, we can handle the failure. Categories: Queuing. So it’s not surprising that the included utilities are multi-purpose and composable. NSQ is less popular than Kafka. We evaluated a few different systems: Before discussing how NSQ works in practice, it’s worth understanding how the queue is architected. 我们知道，这需要一个类似于注册中心的中间件，nsq用的是nsqlookup，而kafka则直接采用了zookeeper:nsq的集群比较”另类“，让每个生产者自己配套一个nsq，kafka的集群就比较”正常“，正如上面架构图展示的：存储到磁盘？这样效率岂不是很低？Kafka知道大家有这样的疑虑，因而在它的官方文档里，写了一大段话来平息大家对磁盘存储的”怨恨“：大概意思是，我们对磁盘的用法做了改进，使得使用磁盘的性能比人们想象中的要快很多，不过里头的原理太过高深，还附上了篇论文，哀家没看懂，就不在这里和大家瞎比比了 …..Kafka觉得，反正最后也要进行持久化的，与其在内存不足的时候，匆匆忙忙去进行刷盘，不如直接就把数据放进磁盘：又比如，topic A的消息里面，userId相同的消息，要被顺序消费，那么就要根据userId字段做hash，保证相同userId的消息，去到同一个partition。这篇文章，通过Nsq和Kafka的对比，讲解了一些Kafka的特性，如果读者想对Kafka有进一步了解，不妨看看我之前写的一篇同时，我们也看到了相比于Nsq，Kafka更加强大，弥补了Nsq的一些“缺点”，而有赞也借鉴了Kafka的实现思路，对Nsq进行了自研开发，下一讲就一起来看看有赞是如何对Nsq进行改进的。 6K GitHub stars and 2.
The only key is that the consumers can query to get the complete set.While they might not be as strict of guarantees as a system like Kafka can provide, the simplicity of operating NSQ makes the failure conditions exceedingly apparent.In addition to the TCP protocol, NSQ provides an HTTP interface for simple cURL-able maintenance operations.
It ships with binaries for As I mentioned, that simplicity doesn’t come without trade-offs:We partially get around this by lowering the file sync time (configurable via a flag) and backing our queues with EBS. Nsq vs Kafka. Kafka - Distributed, fault tolerant, high throughput pub-sub messaging system. But there’s still the possibility that a queue could indicate it’s published a message and then die immediately, effectively losing the write.As you can see, the underlying motif behind all of these benefits is Today, we face a more complex future. ZeroMQ - Fast, lightweight messaging library that allows you to design complex communication system without much effort
3、数据备份.
See features & guarantees.The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 正如之前说的，Nsq是一款极简的消息中间件，通过学习Nsq，我们可以通过对比的方式，学习其他的Mq。 这一节，就让我们在对比中，学习另一种Mq，Kafka，在对比中，加深对Mq的理解。 首先，先放上这两者的架构图。 来源: Typically, application code is written to log directly to these sources which allows them to reduce latency and improve reliability. Kafka vs RabbitMQ Performance Apache Kafka: Kafka offers much higher performance than message brokers like RabbitMQ. UNIX-y tooling - NSQ is a good general purpose tool. 正如之前说的，Nsq是一款极简的消息中间件，前面几讲，我们分别学习了： Nsq的几个组件：MQ（1）—— 从队列到消息中间件 一条消息如何从生产到被消费：MQ(2) —— 一条消息是如何从生产到被消费的 Nsq的一些细节实现：MQ(3) —— 刨根问底 我们还尝试总结了如何设计一个靠谱 …
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