In this episode, we're cleaning up after a batch operation in our Laravel queue finishes successfully. We start by removing the custom exception we used to simulate a failure before, making sure our whole batch runs through from start to finish.
Next, we take advantage of the then
callback, which fires once everything in the batch/process chain has wrapped up. In this section, we update our server to set the provisioned_at
datetime, clear out any existing tasks related to the batch, and set the batch_id
to null
—basically making sure there's no leftover data we don't need anymore.
We step through these changes in the database, watching the queued jobs finish, and then check that our tasks were deleted and our server was updated as expected. From there, we dig into how Laravel keeps track of which server we're working with: by storing a serialized version of the relevant data (including the model and its ID) within the job batch's options.
Finally, we do a little debugging to show how you can inspect this serialization if you ever run into issues with rehydrating data in callbacks. If things go wrong, this is usually the first spot to check.
All in all, this episode is all about best practices for cleaning up after your batches and understanding how Laravel manages data across asynchronous jobs.