Dear API Team,
sorry to bump this old thread, but our question is a direct follow-up to
this particular thread, and the issue mentioned therein. Because of the
issue mentioned above, we have no choice but to make a significant 21
SearchStream requests per client account (because we can only get
aggregates using "SUMMARY_ROW_ONLY", we need separate requests for 3 date
intervals, and 5 for the most common campaign types, that is 3×5 requests
plus 6 requests for other purposes). This amounts to over a thousand
SearchStream requests in a single run.
Now this would be technically impossible to pull off in a linear fashion,
waiting for results would take far too long. Therefore, we use threading to
send all requests at once, and await for the responses. It works, but at
this volume, we get the following errors:
"""
File "\google\api_core\gapic_v1\method.py", line 154, in __call__
return wrapped_func(*args, **kwargs) raise
exceptions.from_grpc_error(exc) from exc
google.api_core.exceptions.ServiceUnavailable
File "\google\api_core\grpc_helpers.py", line 160, in
error_remapped_callable:
raise exceptions.from_grpc_error(exc) from exc
google.api_core.exceptions.503 failed to connect to all addresses
ServiceUnavailable: 503 failed to connect to all addresses
"""
What would be the right way to go about this issue? Note that if there was
a way to get the above requested data directly, we could save 12 requests
per client, cutting the request count to less than half the original.
However, we're also fine with doing thousands of simultaneous SearchStream
requests, but obviously that doesn't sound optimal.
adsapi a következőt írta (2022. május 27., péntek, 21:04:49 UTC+2):
> Hi Prototype,
>
> Thank you for reaching out to the Google Ads API support team.
>
> If you want to more report, you can apply for standard
> <https://developers.google.com/google-ads/api/docs/access-levels?hl=en#standard_access>
>
> access. If you are using search/searchstream then you have to make separate
> queries. Let me know if you have any question.
>
> Thanks,
> [image: Google Logo]
> Nirmita
> Google Ads API Team
>
>
> ref:_00D1U1174p._5004Q2bDP8o:ref
>
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