Dragonfly Cloud is now available in the AWS Marketplace - learn more

Error: bullmq error missing lock for job

What's Causing This Error

The 'missing lock for job' error in BullMQ generally happens when a process tries to fetch a job from the queue which has already been locked by another process. It could be due to concurrency issues or when multiple workers are trying to access the same job simultaneously.

This can also happen if a worker process crashes or is terminated unexpectedly, leaving a job locked without releasing it. When another worker tries to access this job, the system will throw a 'missing lock for job' error because the lock created by the crashed/terminated process still exists.

Solution - Here's How To Resolve It

  1. Retry with backoff: One way to mitigate this issue is to implement retry logic with exponential backoff. This gives the system time to clear the lock from any jobs that may have been left hanging due to an unexpected exit or crash.

  2. Job events monitoring: Monitor job events such as 'completed', 'failed', and 'stalled'. This can help in tracing jobs which are often causing the issue. If a particular job is consistently causing problems, there may be something in the job itself that needs to be addressed.

  3. Control Concurrency: Be cautious while setting the concurrency level. A high level of concurrency might lead to such issues. Manage concurrency based on your application requirements and resources availability.

  4. Graceful shutdown: Implement graceful shutdown mechanisms for worker processes where they finish processing their current job before shutting down. This ensures any locks held by those processes are released properly.

  5. Check for process failures: Regularly check for any crashed or stalled processes and ensure they are restarted promptly. This can prevent locks from lingering on jobs.

Remember, BullMQ is designed to be highly concurrent and resilient, but it still requires careful handling of worker processes and job queue management to ensure smooth operation.

Was this content helpful?

Switch & save up to 80% 

Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement. Instantly experience up to a 25X boost in performance and 80% reduction in cost