Introduction to faktory-worker
Faktory-worker is a robust and efficient background job processing library for languages like Ruby, Python, Go, and node.js. Designed to handle a large number of jobs with minimal latencies, it offers an easy-to-use, highly flexible API that integrates smoothly with Faktory, a Go-based background job processor.
Getting Started
Before diving into the APIs, ensure you’ve installed Faktory and the appropriate language client library. For example, in Ruby, you would install the gem:
gem install faktory_worker_ruby
Connecting to Faktory
To connect your worker to Faktory, initialize a client:
# Ruby example require 'faktory_worker_ruby' client = Faktory::Client.new
Defining and Enqueuing Jobs
Define a job class and enqueue jobs:
class MyJob include Faktory::Job def perform(name) puts "Hello, #{name}" end end MyJob.perform_async('world')
Processing Jobs
The worker processes enqueued jobs:
worker = Faktory::Worker.new worker.run
Job Middleware
Add middleware to your job processing pipeline to customize the behavior:
Faktory::Middleware::Server.configure do |chain| chain.add MyCustomMiddleware end
Scheduing Jobs
Schedule jobs to be performed in the future:
MyJob.perform_in(5.minutes, 'scheduled job')
Batch Processing
Handle jobs in batches for better efficiency:
batch = Faktory::Batch.new do |b| b.callback('success', MySuccessJob) end batch.jobs do 10.times { MyJob.perform_async('batch job') } end
Error Handling and Retries
Handle errors and implement retries:
class MyJob include Faktory::Job def perform raise 'error' rescue => e retry_job wait: 5.minutes if retry_attempt < 3 end end
App Example
Here is a complete example of a small application leveraging Faktory-worker:
require 'faktory_worker_ruby' class EmailJob include Faktory::Job def perform(email) # Simulate email sending puts "Sending email to #{email}" end end class ReportJob include Faktory::Job def perform(report_id) # Simulate report generation puts "Generating report #{report_id}" end end worker = Faktory::Worker.new worker.supervise('EmailJob') do |job| job.perform(async: true) { EmailJob.perform_async('user@example.com') } end worker.supervise('ReportJob') do |job| job.perform(async: true) { ReportJob.perform_async(123) } end worker.run
This setup illustrates how easy it is to create, enqueue, and process background jobs with Faktory-worker, allowing you to build scalable and resilient applications with minimal effort.
By understanding and leveraging the comprehensive API provided by Faktory-worker, developers can ensure efficient background job processing, ultimately enhancing the performance and reliability of their applications.
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