Master Reactive Spring: Essential Resources and Insights for Beginners

This article recommends a comprehensive CSDN blog series on reactive Spring, detailing beginner‑friendly explanations of reactive programming, lambda and functional concepts, testing tips, performance insights, and includes vivid CPU‑I/O analogies, plus useful links to the Reactor 3 manual and Apache Shenyu gateway.

Xiao Lou's Tech Notes
Xiao Lou's Tech Notes
Xiao Lou's Tech Notes
Master Reactive Spring: Essential Resources and Insights for Beginners

Some readers asked for good learning material on the SpringWebflux framework mentioned in my previous article “The Evolution of Microservice Gateways”. I usually rely on official docs and scattered online resources, which are not beginner‑friendly.

I discovered a CSDN blog series titled 【道法术器】响应式Spring by Liu Kang, which is excellent for newcomers. The series contains over 20 easy‑to‑understand articles covering what reactive programming is, reactive streams, why it’s needed, alternative solutions, their pros and cons, as well as prerequisite knowledge such as lambda expressions and functional programming. It also includes small examples, unit‑testing tips, and performance‑testing guidance.

The series is introductory and assumes only basic Java knowledge. For hands‑on practice, the author also translated the Reactor 3 reference manual (the core of SpringWebflux):

https://htmlpreview.github.io/?https://github.com/get-set/reactor-core/blob/master-zh/src/docs/index.html

Reactive programming is a niche technology, but if you’re building a Java gateway service, it’s worth exploring. Apache’s incubating Shenyu gateway is built on SpringWebflux:

https://github.com/apache/incubator-shenyu

The author explains abstract concepts clearly. Here is a snippet he wrote about “How slow I/O really is”: IO到底有多慢 He uses vivid analogies about space, time, and CPU perception to illustrate latency, including a humorous list of CPU, cache, memory, and I/O performance comparisons.

CPU can execute an instruction in one second (metaphorically).

L1 cache “understands” instantly.

L2 cache takes several seconds.

Memory access may take 4–5 minutes.

I/O such as SSD can take 4–5 days, mechanical disks up to 10 months, and transferring 1 MB may require 20 months.

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Xiao Lou's Tech Notes
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Xiao Lou's Tech Notes

Backend technology sharing, architecture design, performance optimization, source code reading, troubleshooting, and pitfall practices

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