This is a distributed job runner for .NET Standard 2.0 Applications.
Inspired by Celery for Python, it allows you to quickly queue code execution on a worker pool.
Use natural expression syntax to queue jobs for execution.
Queued jobs are persisted, and automatically run by the first available worker.
Scale your worker pool by simply adding new nodes.
Backed by Redis, all tasks are persistent.
We recommend using the dotnet cli to get started, but it's not a necessity.
The dotnet cli is part of the .NET Core SDK.
We recommend using docker to start a local Redis instance for testing. Setting up a production-level Redis instance is out of the scope of this documentation.
$ docker run -d -p 127.0.0.1:6379:6379 redis:4-alpine
Open up a terminal and create a new console project to get started.
$ mkdir myProject && cd myProject $ dotnet new consoleAdd the Gofer.NET NuGet package.
$ dotnet add package Gofer.NET --version 1.0.0-*
This example Program.cs shows how to queue jobs for the worker pool to process, then start a worker to go and run them.
Some important notes:
Workers would usually be on a separate machine from the code queueing the jobs, this is purely to give an example.
More workers can be added at any time, and will start picking up jobs off the queue immediately.
public class Program
{
public static async Task Main(string[] args)
{
var redisConnectionString = "127.0.0.1:6379";
// Create a Task Client connected to Redis
var taskClient = new TaskClient(TaskQueue.Redis(redisConnectionString));
// Queue up a Sample Job
await taskClient.TaskQueue.Enqueue(() => SampleJobFunction("Hello World!"));
// Start the task listener, effectively turning this process into a worker.
// NOTE: This will loop endlessly waiting for new tasks.
await taskClient.Listen();
}
private static void SampleJobFunction(object value)
{
Console.WriteLine(value.ToString());
}
}
Read the Docs for more details.
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