"Guide to terminating an AWS Batch job that is in a RUNNABLE state using the JavaScript SDK

I need assistance with canceling a job stuck in runnable status on AWS Batch using the JavaScript SDK. Which API option should I choose?

1. The TerminateJobCommand documentation states that it terminates jobs in the STARTING or RUNNING state, causing them to transition to FAILED. Jobs not yet in the STARTING state are canceled as well. Since RUNNABLE status comes before STARTING, would TerminateJobCommand be the right choice?

2. The documentation for CancelJobCommand mentions that a job in RUNNABLE remains there until it reaches the front of the queue, at which point its status changes to FAILED. Does this mean CancelJobCommand could also handle cancellations, albeit with some delay?

My testing experience includes using both CancelJobCommand and TerminateJobCommand on the same runnable job, resulting in a 200 status response each time. However, occasionally, when checking with "aws batch list-jobs --job-status RUNNABLE --region XXXX" to confirm if the target jobs were successfully removed from the RUNNABLE list (i.e., canceled), they still appeared in the list as RUNNABLE even after hours.

javascriptamazon-web-services

Answer №1

Should jobs that have not progressed to the STARTING state be cancelled since RUNNABLE status comes before STARTING status?

Indeed, for jobs still in the queue, using TerminateJob essentially equals using CancelJob.

Would CancelJobCommand also work for cancelling, albeit with some delay?

There is no delay per se; once you successfully issue the command, the job will never execute. It will remain in a RUNNABLE state but transition directly to FAILED when its execution time arrives.

While batch jobs typically incorporate a retry mechanism to return them to a RUNNABLE state after numerous failed attempts, CancelJob supersedes this behavior.

In the output of the DescribeJobs function, flags like isCancelled and isTerminated indicate if a runnable job will never run as intended.

Note that the term "the head of the queue" can be misleading. Job status transitions from RUNNABLE to STARTING (or FAILED if canceled) just before assignment to a compute unit in the cluster. While being at the front of the queue is one condition, it's not the sole determining factor.

If your job requires 4G of memory but your EC2 instances only offer 2G, the job will remain perpetually in a RUNNABLE state due to mismatched cluster specifications.

The underlying job queue likely leverages an event streaming platform, possibly Kinesis. In event streaming, events are immutable and proceed through processing once on the stream—hence why they persist in the queue.

The status of cancelled or terminated jobs is usually stored elsewhere (e.g., DynamoDB). Until recently, AWS did not expose this information, but now they do.

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