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如何在Celery中正确调用forget()方法?针对链式任务提交场景

How to Call forget() on Celery Task Chains for Each Line in Your Dataset

Hey there! Let's get your Celery task chain forget() functionality working properly.

Looking at your current code, you're already creating and submitting task chains with apply_async(), but you just need to add one small step to call forget() on each chain's result object. Here's how to adjust your code:

for line in alldat:
    # Create the task chain for the current line
    task_chain = chain(get_url.s(line[:-1]), do_work.s(line[:-1]))
    # Submit the chain and capture the result object
    result = task_chain.apply_async()
    # Call forget() to discard the task result from the backend
    result.forget()
    print(f'task submitted for {line[:-1]}')

A quick breakdown of what's happening here:

  • When you call apply_async() on a Celery chain, it returns an AsyncResult (or ChainResult) object that represents the entire chain's execution.
  • Calling result.forget() tells Celery to not store the task/chain's result in your result backend (like Redis, RabbitMQ, or Django's DB). This is great for saving storage space if you don't need to retrieve the results later.
  • Important: forget() doesn't stop or interrupt the task chain—it just cleans up the result data after the tasks complete (or immediately, depending on your backend setup). The tasks will still run to completion as expected.

If you were worried about whether forget() handles the entire chain rather than just a single task, don't stress: the result object from the chain tracks all tasks in the sequence, so calling forget() on it will clean up all associated result records for the chain.

内容的提问来源于stack exchange,提问作者Scott Goulds

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最近更新时间:2026.05.14 06:49:30