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Hugh performance difference when calling RecommendationServiceClient.apply_recommendation with request vs with customer_id and operations
When I tried to apply recommendations by using ApplyRecommendationRequest, it takes around 5 minutes to make 100 operations, but if I do it with something like this:
recommendation_response = recommendation_service.apply_recommendation(
customer_id=customer_id, operations=operations
)
It usually finishes within seconds, the operations list also contains 100 apply recommendation operations.
This is how I build and apply the apply recommendation request:
request = client.get_type('ApplyRecommendationRequest')
request.customer_id = customer_id
request.partial_failure = True
request.operations = operations
recommendation_response = recommendation_service.apply_recommendation(
request=request
)
Is it because of the partial_failure flag? Why is there a huge performance difference between these 2 approaches? Also when I use ApplyRecommendationRequest approach, I usually get a bunch of errors like Authorization of the client failed.
I'm using the latest version of this library.
Any help would be much appreciated Thank you.