0.2.7 • Published 5 years ago

ipqueue v0.2.7

Weekly downloads
2
License
MIT
Repository
github
Last release
5 years ago

IPQueue

A inter-process task queue implementation for NodeJS.

Purpose

This package is meant to achieve sequential operations across processes in multi-processing scenario.

An Example Of Why

When you're programming that your code will run in several sub-processes, say, in cluster mode, and you have to write data to a file, you will need to check if that file exists or not. If the file is missing, you create that file. All these operations are asynchronous (even synchronous), they are running in parallel in different processes, there is no way to guarantee that which operation will be finished first. You may have tested that the file doesn't exists in process A, and about to create that file, meanwhile, before creation, process B, tested the file doesn't exist as well, and try to create the file again. Now the problem is quite clear, the two processes, A and B, will both try to create that file, even before B doing the creation, A already created it, because B never knows it. So We need a tool to sequence the operation cross those processes, and make them run in a certain order.

File-Lock Doesn't Always Lock

You may have noticed that there are several packages on NPM that call themselves file-locker, well, I can tell you very few of them are thread-safe. Because most of them perform file-existence checking just like I said above, which is absolutely not safe in multi-processing scenario. But, I'd like to point out some of them actually work. like fs-ext and os-lock, they acquire file lock from system API, and can work both in Windows and Unix-Like systems. However, these two packages both require you installing and compiling extra binary code, which sometimes it might fail due to environment needs not fulfilled, and by the way, they are only available for NodeJS 8+, no support for older versions.

Say Bye-Bye To Redis

Of course there is another way to implement cross-process queue based on Redis. However, do you really need it? It is a good idea to store cache in Redis, and many other features are perfectly when you're building a large program. But, only for a queue that runs cross processes? It is definitely not the best choice, it's even more complicated to install a Redis server (and client binary code) than installing fs-ext or os-lock.

A Better Choice

With IPQueue, it is pure JavaScript, based on IPC channel (open-channel), do not need any extra effort to install and run. It's safe, and much handy than other packages, it not only provides you the ability to lock file operations, but any operations you want to handle in order.

How To Use?

// task.js
import connectQueue from "ipqueue";

var queue = connectQueue();

// push a task into the queue and waiting to run. 
queue.push((next) => {
    // TODO...
    next(); // calling next to prepare running the next task.
});

// push another task
queue.push((next) => {
    // TODO...
    next();
});

In this example, I will use cluster to fork several child-processes, but using cluster is optional, you can just use child_process module as you want, or even run them manually (must provide the absolute path of the script file, e.g. node $(pwd)/task.js).

// index.js
const cluster = require("cluster");

if (cluster.isMaster) {
    // fork 4 workers
    for (let i = 0; i < 4; i++) {
        cluster.fork();
    }
} else {
    // There would be 8 task to run in all processes (2 for each process), and 
    // they're all run in order (but cannot guarantee the sequence).
    require("./task");
}

API

There are very few API in this package, it's designed to be as simple as possible, but brings the most powerful task queue functionality across processes into NodeJS.

  • connectQueue(name: string, timeout?: number): Queue Opens connection to the queue server and returns a client instance.

    • name A unique name to distinguish potential queues on the same machine.
    • timeout Sets both connection timeout and max lock time, meaning if you don't call next() in a task (or the process fails to call it, i.e. exited unexpected), the next task will be run anyway when timeout. The default value is 5000 ms.
  • queue.connected: boolean Returns true if the queue is connected to the server, false the otherwise.

  • queue.disconnect(): void Closes connection to the queue server.
  • queue.push(task: (next: () => void) => void): this Pushes a task into the queue. The program will send a request to the server acquiring for a lock, and wait until the lock has been acquired, run the task automatically.
    • next Once the job is done, this callback function should be and must be called.
  • queue.getLength(): Promise<number> Gets the length of remaining tasks in the queue.
  • queue.onError(handler: (err: Error) => void): this Binds an error handler to catch errors whenever occurred.
  • queue.setTimeout(timeout: number): void Sets a timeout to force release the queue for next task.

What Can't IPQueue Do?

  • IPQueue requires all processes run with the same entry file, it won't work with multi-entry applications.

Tip

Powered by open-channel, IPQueue can work under PM2 supervision even doesn't have access to the master process.

License

This package is licensed under MIT license.

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