redis-delayed-tasks
v2.0.1
Published
Allows for the future execution of tasks utilizing redis as a datastore.
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redis-delayed-tasks
This node module allows for the simple future execution of tasks utilizing redis as a datastore. It takes away the need to mess with redis or some other message queue and provides a way to do something in the future in a distributed environment.
The task callback is unaware of the context of your codebase. Instead of calling a specific callback function per task, this module calls the same callback function for each task, relying on you to route it to the appropriate place.
Possible use cases include:
- Retry logic (with or without backoff).
- Delaying a task wherein using
setTimeout
introduces a risk if the application crashes. - Distributing future tasks across multiple workers.
Installation
npm i redis-delayed-tasks
Upgrading from v1 to v2
Version 2 does not introduce any new features, but rather uses node-redis
v4 under the hood and therefore could incorporate breaking changes if you're using an older version of the redis library elsewhere. The library is instantiated the same way and just requires an additional line afterwards: await dt.connect()
.
Usage
Create a new DelayedTasks
object:
const { DelayedTasks } = require('redis-delayed-tasks');
const dt = new DelayedTasks({
id: 'delayed-queue-1',
redis: {
host: '127.0.0.1',
port: 6379
},
callback: (data, taskId, dueTime) => {
// `data` is the JSON.stringify-able data provided when the task was added
// `taskId` is the generated ID of the task to process
// `dueTime` is the epoch (milliseconds) of when the task was due
}
});
// Connect to redis (new in v2)
await dt.connect()
// Start polling
dt.start();
const newTaskId = await dt.add(2000, { foo: 'bar' });
// Don't forget to clean up later: `dt.stop()`
Example: HTTP Retry
Handling HTTP retries is a common use case that requires waiting a certain amount of time before retrying a request. You could use setTimeout
, but if the application dies before the timeout function is called, you lose the request entirely.
Instead, we'll use our DelayedTasks
queue to delay the task in a persisted manner until it's time to retry again.
const { DelayedTasks } = require('redis-delayed-tasks');
const dt = new DelayedTasks({
id: 'http-retry',
redis: {
host: '127.0.0.1',
port: 6379
},
callback: function (data, taskId, dueTime) {
// A task is ready to be tried again
try {
request(data);
} catch (e) {
// It failed again, try in another 5 seconds
this.add(5000, data);
}
}
});
// Connect redis
await dt.connect()
// Start polling
dt.start();
try {
// `request` would be your http request library of choice
request({
method: 'POST',
url: '/foo',
data: { foo: 'bar' }
});
} catch (e) {
// There was an error, try again in 5 seconds
this.add(5000, data);
}
// Don't forget to clean up later: `dt.stop()` or `dt.close()`, as applicable
Methods
constructor
The constructor takes a single object. Properties are as follows:
| Property | Description | Required | Default |
|--------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------|---------|
| id
| ID of the queue. This is used as a redis key, so it should be shared amongst any workers that operate within the same group. Think of it as a "consumer group" id. | Yes | |
| redis
| An existing redis client to use OR connection settings for a new redis client1. | Yes | |
| callback
| The function to call when tasks are due. When a task is due or past-due, your callback method is called asynchronously, passing the data
you provided when adding, the generated taskId
, and the time (in ms) that the task was due.The context of this
is the DelayedTasks
object. | Yes | |
| options.pollIntervalMs
| How often to poll redis for tasks due (in milliseconds). The shorter the interval, the sooner after being due a task will be processed, but the more load in redis. | No | 1000 |
1 This module uses node-redis
version 4 under the hood in legacy mode. If you provide your own client, you're responsible for connecting, disconnecting, and creating an error handler.
Connect
If you provided an object with options for connecting to redis, you must call await dt.connect()
to connect to redis before doing anything else. If you've provided an existing, connected redis client, this is not necessary.
start / stop polling
To begin polling for tasks, call dt.start()
. This returns a boolean with the status of starting. If false
, it's because the redis client hasn't been connected yet. If this was a self-supplied client, call await client.connect()
. Otherwise, call await dt.connect()
to create the connection.
Call dt.stop()
to stop future polling.
close()
Calling await dt.close()
will stop polling. If a new redis client was created for the object instance (that is, it was passed an object of configuration details), that redis client will be closed, too (using disconnect()
to abort pending requests). If you passed an existing redis client to the constructor, it will be left open and you'll have to close it yourself when you're finished with it.
This returns a promise that resolves when the client connection is confirmed closed.
If you just want to stop polling, but leave the connection open, call dt.stop()
instead.
add(delayMs, data)
Adds a task to be executed delayMs
millseconds in the future. data
can be any JSON.stringify-able data that will get passed to callback
when the task is due.
This function returns a promise that resolves to a generated UUID of the task. It is returned after the task is saved to redis, so if you want to add asynchronously and/or don't care about the generated ID, you can call the function asynchronously
Example
Add a task to be processed 30 seconds in the future:
const newTaskId = await dt.add(30000, { foo: 'bar' });
// or asynchronously
dt.add(30000, { foo: 'bar' });
poll()
To force a poll outside of the poll interval, call dt.poll()
. This should be used with caution as it could potentially interfere with an active poll, therefore causing a transaction conflict in redis.
Testing
The test suite requires a local redis server on port 6379. You can run docker-compose up
to launch one from this repo. Once redis is running, run npm test
or npm coverage
.
Notes
When tasks are processed
Tasks that are due are not processed immediately when due. Instead, they will be processed on the next poll interval. So, we recommend making the poll interval shorter if you care about processing tasks quicker after they're due.
Otherwise, if you just want to make sure it gets done sometime around when it's due, make the poll interval longer to give redis a break.
Redis transaction conflicts
If the redis key is updated during the internal poll()
call, we do not retry and, instead, wait for the next poll interval. Since polling intervals can be very short, we don't want to end up overlapping.
Future work
This module performs minimal error catching outside of required parameters for this module. This may be improved in the future. For now, we recommend surrounding with try-catch to catch everything, including redis errors.
Use non-legacy mode of node-redis v4.
Trap errors from
callback()
Ability to cancel a task by ID or data. Will wait until there's a genuine desire for this. For now, we'll assume that a task won't be added until it should run in the future.
Add a flag when the class is polling to prevent conflicts on explicit polls.
Better handling of watch conflicts in
dt.poll
. Right now it just quits, but if this happens a lot, nothing would end up getting processed.Find a redis mock that works with
node-redis
v4 and later versions of redis server.
License
MIT License