Currently, I'm iterating through each account and synchronizing campaigns 
sequentially, which is time-consuming. I'm considering using multithreading 
to parallelize the process but are unsure whether to implement 
multithreading or multiprocessing in your Django Python server. Could you 
provide guidance on which approach would be more suitable for my scenario, 
and what factors should I consider in making this decision for optimal 
performance and efficiency? Thanks.

-- 
-- 
=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~
Also find us on our blog:
https://googleadsdeveloper.blogspot.com/
=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~

You received this message because you are subscribed to the Google
Groups "AdWords API and Google Ads API Forum" group.
To post to this group, send email to adwords-api@googlegroups.com
To unsubscribe from this group, send email to
adwords-api+unsubscr...@googlegroups.com
For more options, visit this group at
http://groups.google.com/group/adwords-api?hl=en
--- 
You received this message because you are subscribed to the Google Groups 
"Google Ads API and AdWords API Forum" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to adwords-api+unsubscr...@googlegroups.com.
To view this discussion on the web visit 
https://groups.google.com/d/msgid/adwords-api/31499566-1e25-4745-ad66-ddb433184fecn%40googlegroups.com.

Reply via email to