BullMQ, a Node.js library for handling jobs and messages in a queue, provides mechanisms to handle errors. Here are various strategies:
When defining a processor for jobs, it's important to catch any potential errors that might be thrown. If uncaught, these exceptions could cause your queue processing to terminate unexpectedly.
const jobQueue = new Queue('my-job-queue'); jobQueue.process(async (job) => { try { // Your job processing code here... } catch (error) { console.error(`Job ${job.id} failed with error ${error.message}`); throw error; // Rethrow the error so BullMQ knows this job failed } });
In this example, any errors thrown during the processing of a job are caught and logged, then re-thrown. BullMQ automatically handles failed jobs by moving them to a dedicated failed
list.
Failed jobs can be retried manually or automatically based on a retry strategy.
// Automatic retries with a fixed number of attempts const jobQueue = new Queue('my-job-queue', { defaultJobOptions: { attempts: 5, }, }); // Manual retry const failedJob = await jobQueue.getFailed(); if (failedJob.length > 0) { await failedJob[0].retry(); }
In the first part, BullMQ is configured to automatically retry failed jobs up to a fixed number of times. In the second part, failed jobs are manually retrieved and retried.
BullMQ emits events related to the life cycle of jobs which can be used to handle errors or track failures. For instance, you can listen for a failed
event on your job queue:
jobQueue.on('failed', (job, err) => { console.error(`Job ${job.id} failed with error ${err.message}`); });
In the above code, an event listener is added to log any job failures.
Remember that error handling strategies depend on the specific requirements and nature of your jobs. Some jobs might be safe to retry multiple times, while others might need manual intervention after failure.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.