Home > Article > Web Front-end > How to understand that Node.js is not a completely single-threaded program (a brief analysis)
Why do we say Node.js is not completely single-threaded? How to understand? The following article will discuss it with you, I hope it will be helpful to you!
I believe everyone knows that node is a single-threaded program that uses Event Loop to achieve multiple concurrencies. Unfortunately this is not entirely correct.
So why is Node.js not a completely single-threaded program?
All the Javascript, V8, and event loops we wrote ourselves run in the same thread, which is the main thrad .
Hey, doesn’t this mean that node is single-threaded?
But maybe you don’t know that node has many modules with C code behind them.
Although node does not expose users to the permission to control threads, C can use multi-threading.
So when will node use multi-threading?
If a node method calls C's synchronous method behind the scenes, it will all run in the main thread.
If a node method calls C's asynchronous method behind the scenes, sometimes it does not run in the main thread.
Talk is cheap, show me the code.
Herecrypto Many related modules are written in C. The following program is a function for calculating hash, which is generally used to store passwords.
import { pbkdf2Sync } from "crypto";
const startTime = Date.now();
let index = 0;
for (index = 0; index < 3; index++) {
pbkdf2Sync("secret", "salt", 100000, 64, "sha512");
const endTime = Date.now();
console.log(`${index} time, ${endTime - startTime}`);
}
const endTime = Date.now();
console.log(`in the end`);Output time,
0 time, 44 1 time, 90 2 time, 134 in the end
You can see that it takes about 45ms each time, and the code is executed sequentially on the main thread.
Pay attention to who is the final output? Note that a hash here takes ~45ms on my CPU.
import { cpus } from "os";
import { pbkdf2 } from "crypto";
console.log(cpus().length);
let startTime = console.time("time-main-end");
for (let index = 0; index < 4; index++) {
startTime = console.time(`time-${index}`);
pbkdf2("secret", `salt${index}`, 100000, 64, "sha512", (err, derivedKey) => {
if (err) throw err;
console.timeEnd(`time-${index}`);
});
}
console.timeEnd("time-main-end");The output time,
time-main-end: 0.31ms time-2: 45.646ms time-0: 46.055ms time-3: 46.846ms time-1: 47.159ms
As you can see here, the main thread is early At the end, however, the time for each calculation is 45ms. You must know that the time it takes for a CPU to calculate hash is 45ms. The node here definitely uses multiple threads for hash calculation.
If I change the number of calls here to 10, then the time is as follows. You can see that as the number of CPU cores is used up, the time is also increasing. Once again, it is proved that node definitely uses multiple threads for hash calculation.
time-main-end: 0.451ms time-1: 44.977ms time-2: 46.069ms time-3: 50.033ms time-0: 51.381ms time-5: 96.429ms // 注意这里，从第五次时间开始增加了 time-7: 101.61ms time-4: 113.535ms time-6: 121.429ms time-9: 151.035ms time-8: 152.585ms
Although it is proven here that node definitely has multi-threading enabled. But there is a little problem? The CPU of my computer is AMD R5-5600U, which has 6 cores and 12 threads. But why does the time increase from the fifth time? Node does not fully utilize my CPU?
what is the reason?
Node uses a predefined thread pool. The default size of this thread pool is 4.
export UV_THREADPOOL_SIZE=6
Let us take a look An example,
import { request } from "https";
const options = {
hostname: "www.baidu.com",
port: 443,
path: "/img/PC_7ac6a6d319ba4ae29b38e5e4280e9122.png",
method: "GET",
};
let startTime = console.time(`main`);
for (let index = 0; index < 15; index++) {
startTime = console.time(`time-${index}`);
const req = request(options, (res) => {
console.log(`statusCode: ${res.statusCode}`);
console.timeEnd(`time-${index}`);
res.on("data", (d) => {
// process.stdout.write(d);
});
});
req.on("error", (error) => {
console.error(error);
});
req.end();
}
console.timeEnd("main");main: 13.927ms time-2: 83.247ms time-4: 89.641ms time-3: 91.497ms time-12: 91.661ms time-5: 94.677ms ..... time-8: 134.026ms time-1: 143.906ms time-13: 140.914ms time-10: 144.088ms
The main program here also ended early. Here I started http request to download pictures 15 times, but the time they spent did not succeed. Multiplying, it seems not to be affected by the thread pool/cpu.
Why? ? Is Node using a thread pool?
If the asynchronous method of C behind Node will first try to see if there is kernel asynchronous support, for example, please use epoll (Linux) for the network here. If the kernel does not provide an asynchronous method, Node will Will use its own thread pool. .
So although the http request is asynchronous, it is implemented by the kernel. After the kernel is completed, C will be notified, and C will notify the main thread to handle the callback.
So which asynchronous methods of Node use the thread pool? Which ones won’t?
Native Kernal Async
Thread pool
This It is also the entry point for most Node optimizations.
But how do these combine with the most important Event Loop?
I believe everyone is very familiar with Event loop. The event loop is like a distributor.
If it encounters an ordinary javascript program or callback, it is handed over to V8 for processing.
If you encounter a synchronization method written in C, hand it over to C and run it on the main thread.
If you encounter asynchronousThe back of the method is written in C. If there is kernel asynchronous support, it will be handed over from the main thread to the kernel for processing.
If it is asynchronousThe back of the method is written in C. If there is no kernel asynchronous support, it is handed over from the main thread to the thread pool.
Thread pool and the kernel will return the results to the event loop. If there is a javascript callback registered, it will be handed over to V8 for processing.
And then loop like this until there is nothing left to process.
So Node is not entirely a single-threaded program.
For more node-related knowledge, please visit: nodejs tutorial!
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