Node.js Complete Node JS Guide with Examples
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Node.js: Complete Node JS Guide with Examples by Claudia Alves
English | 2020 | ISBN: N/A | ASIN: B08QSHHCB9 | 163 pages | Rar (PDF, AZW3) | 1.15 Mb
Node.js web development
After reading this book, you'll be ready to build node applications.
If you write front end code, it shouldn't be news that you could easily write web apps with NodeJs since both rely heavily on JavaScript.
It's very important to understand that Node isn't a silver bullet, it's not always the best solution for every project. Anybody can start up a server in Node, but it takes a deeper understanding of the language to write web apps that scale.
Recently, I've been having a lot of fun with Node and I think I've learned enough to share, get feedback and learn more. Generally to cement my knowledge.
So lets get started.
Before Node.js.
Web applications were written in a client/server model where the client would demand resources from the server and the server would respond with the resources. The server only responded when the client requested and would close the connection after each response.
This pattern is efficient because every request to the server takes time and resources(memory, CPU etc). So, it's wiser to close a connection after serving the requested asset so the server could respond to other requests too.
So how do servers like these respond to millions of requests coming in at the same time? If you asked this question, you understand that it wouldn't be nice if requests to servers would be delayed till all other requests were responded to.
Imagine visiting Facebook and you were told to wait for 5 minutes, for thousands of people requesting before you. There has to be a way to run thousands or at least hundred of requests at once. Good news!!. There's a thing as Threads.
Threads are a way for systems to run multiple operations concurrently. So every request would open a new thread, every thread had all it required to run the same code to completion.
If it sounds strange?. Let's use this analogy.
Imagine a restaurant with just one person serving food. When the demand for food increases, things would crazily go wrong. People would have to wait till all preceding orders were delivered. A way to solve this problem would be to employ more people to serve food right? This way, more customers would be served at once.
Each thread is a new employee and the browsers, well, hungry people. I'm sure you can get the point now.
But this system has a downside. It would get to a point where there's a lot of requests and starting up new threads would consume a whole lot of memory and system resources. Just like in our example, employing more and more people to serve food would cost more money and space.
But it's also a good thing that immediately the server responds to the browser, the connection is closed and all resources (memory etc) are retrieved.
A benefit of this system is that it excels at CPU intensive applications. CPU intensive operations require a lot of logic and take more time to compute. Since every new request is handled by a new thread, it takes serious work off the main thread therefore making the system faster and able to perform important computations.
It's quite efficient because each operation executes code off the main thread.
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