Storage based queue processing mechanism. Today, many backend technology is a simple derivative of the queuing systems used in the browser environment.
You can run jobs over the channels as asynchronous that saved regularly.
This library just a solution method for some use cases. Today, there are different technologies that fulfill the similar process.
Reminders:
- Designed for only browser environments.
- Built-in error handling.
- ES6/ES7 features.
- Full control over the workers.
- React Native support. (require few minor config)
- Native browser worker. (with polyfill)
Data regularly store (localstorage, inmemory or custom storage drivers) added to queue pool. Storing queue data is also inspired by the JSON-RPC method. When the queue is started, the queues start to be processed sequentially in the specified range according to the sorting algorithm.
If any exceptions occur while the worker classes are processing, the current queue is reprocessed to try again. The task is frozen when it reaches the defined retry value.
You need to create at least one channel. One channel can be created as many channels as desired. Channels run independently of each other. The areas where each channel will store tasks are also separate. The area where tasks are stored is named with the channel name and prefix.
The important thing to remember here is that each newly created channel is actually a new copy of the Queue class. So a new instance is formed, but the dependencies of the channels are still alive as singletons.
Example; You created two channels. Their names are channelA and channelB. If you make a setting in the channelA instance, this change will also be reflected in channelB and all other channels.
You can create countless worker. Worker classes should return boolean (true / false) data with the Promise class as the return value. The return Promise / resolve (true) must be true if a task is successfully completed and you want to pass the next task. A possible exception should also be tried again: Promise / resolve (false). If we do not want the task to be retried and we want to pass the next task: Promise / reject ('any value')
Also you can use native browser worker. If you are browser does not support Worker, Browser Worker polyfil will add a pseudo-worker function to window object.
Plase check the docs: Workers
$ npm install storage-based-queue --saveimport:
import Queue from "storage-based-queue";Script Tag:
<script src="https://unpkg.com/[email protected]/dist/queue.min.js" />Worker class:
class MessageSenderWorker {
handle(message) {
// If return value is false, this task will retry until retry value 5.
// If retry value is 5 in worker, current task will be as failed and freezed in the task pool.
retry = 5;
// Should return true or false value (boolean) that end of the all process
// If process rejected, current task will be removed from task pool in worker.
return new Promise((resolve, reject) => {
// A function is called in this example.
// The async operation is started by resolving the promise class with the return value.
const result = someMessageSenderFunc(message);
if (result) {
// Task will be completed successfully
resolve(true);
} else {
// Task will be failed.
// If retry value i not equal to 5,
// If the retry value was not 5, it is being sent back to the pool to try again.
resolve(false);
}
});
}
}Register worker:
Queue.workers({ MessageSenderWorker });Create channel:
// create new queue instance with default config
const queue = new Queue();// create a new channel
const channel = queue.create("send-message");Add task to channel:
channel
.add({
label: "Send message",
handler: "SendMessageWorker",
args: "Hello world!",
})
.then(result => {
// do something...
});Start queue:
channel.start();That's it!
Click for detailed documentation
$ npm test
| Name | Version |
|---|---|
| Chrome | 32 + |
| Firefox | 29 + |
| Safari | 8 + |
| Opera | 19 + |
| IE | 11 |
| Edge | all |
Note: Listed above list by pormise support.
You can testing all others browser version at BrowserStack
MIT license
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent