Difference between calling task group directly vs. calling it via apply_async in celery
In my tasks.py, I have two celery tasks A and B. Task B takes user id as parameter. Task A collects all the user ids and creates a group of Task B with each user id.
@app.task
def A():
user_ids = get_all_user_ids()
job = group(B.s(uid) for uid in user_ids)
job()
@app.task
def B(user_id):
#some heavy processing
In this case, I am directly calling the celery task group. Problem with this is that sometimes it gives a SoftTimeLimitExceeded exception in task A. My question is if I call don't directly call the job rather if call it with apply_async, will this resolve the issue? Also, What is the exact difference between calling a task group directly vs. calling it with apply_async?
python celery
asked Nov 13 '18 at 9:49
Vaibhav JhaVaibhav Jha
61
add a comment |
In my tasks.py, I have two celery tasks A and B. Task B takes user id as parameter. Task A collects all the user ids and creates a group of Task B with each user id.
@app.task
def A():
user_ids = get_all_user_ids()
job = group(B.s(uid) for uid in user_ids)
job()
@app.task
def B(user_id):
#some heavy processing
In this case, I am directly calling the celery task group. Problem with this is that sometimes it gives a SoftTimeLimitExceeded exception in task A. My question is if I call don't directly call the job rather if call it with apply_async, will this resolve the issue? Also, What is the exact difference between calling a task group directly vs. calling it with apply_async?
python celery
asked Nov 13 '18 at 9:49
Vaibhav JhaVaibhav Jha
61
add a comment |
In my tasks.py, I have two celery tasks A and B. Task B takes user id as parameter. Task A collects all the user ids and creates a group of Task B with each user id.
@app.task
def A():
user_ids = get_all_user_ids()
job = group(B.s(uid) for uid in user_ids)
job()
@app.task
def B(user_id):
#some heavy processing
In this case, I am directly calling the celery task group. Problem with this is that sometimes it gives a SoftTimeLimitExceeded exception in task A. My question is if I call don't directly call the job rather if call it with apply_async, will this resolve the issue? Also, What is the exact difference between calling a task group directly vs. calling it with apply_async?
python celery
asked Nov 13 '18 at 9:49
Vaibhav JhaVaibhav Jha
61
In my tasks.py, I have two celery tasks A and B. Task B takes user id as parameter. Task A collects all the user ids and creates a group of Task B with each user id.
@app.task
def A():
user_ids = get_all_user_ids()
job = group(B.s(uid) for uid in user_ids)
job()
@app.task
def B(user_id):
#some heavy processing
In this case, I am directly calling the celery task group. Problem with this is that sometimes it gives a SoftTimeLimitExceeded exception in task A. My question is if I call don't directly call the job rather if call it with apply_async, will this resolve the issue? Also, What is the exact difference between calling a task group directly vs. calling it with apply_async?
python celery
python celery
asked Nov 13 '18 at 9:49
Vaibhav JhaVaibhav Jha
61
asked Nov 13 '18 at 9:49
Vaibhav JhaVaibhav Jha
61
asked Nov 13 '18 at 9:49
Vaibhav JhaVaibhav Jha
61
asked Nov 13 '18 at 9:49
Vaibhav JhaVaibhav Jha
61
asked Nov 13 '18 at 9:49
Vaibhav JhaVaibhav Jha
61
61
add a comment |
add a comment |
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