Hi Team,
I am reaching out for assistance regarding a recurring exception
encountered when executing a GAQL query through the Google Ads API. We have
observed that the issue is not related to excessive or unusual daily
resource usage on our end. The exception occurs within just a few
executions from our environment, and the quota appears to reset the
following day. Despite minimal usage, the API intermittently returns the
error noted below, which is preventing us from running our queries
consistently.
*Please find below example Account Details:*
Paragon Honda --> 127-167-0580
*Issue Summary*
While running the following GAQL query, the Google Ads API returns
a ResourceExhausted exception:
SELECT campaign.id, campaign.name, campaign.status, campaign.end_date,
campaign_budget.id, campaign.advertising_channel_type,
campaign_budget.amount_micros,
campaign.geo_target_type_setting.negative_geo_target_type,
campaign.geo_target_type_setting.positive_geo_target_type,
campaign.bidding_strategy_type FROM campaign WHERE campaign.status IN
('ENABLED', 'PAUSED')
------------------------------
*Exception Details*
Status(StatusCode="ResourceExhausted", Detail="Resource has been exhausted
(e.g. check quota).",
DebugException="Grpc.Core.Internal.CoreErrorDetailException:
{"created":"@1761050016.088000000", "description":"Error received from peer
ipv4:142.251.111.95:443",
"file":"..\..\..\src\core\lib\surface\call.cc","file_line":953,
"grpc_message":"Resource
has been exhausted (e.g. check quota).", "grpc_status":8}")
------------------------------
*Request*
Could you please help us identify the root cause and advise on the next
steps? Specifically, we would like to know:
1.
Whether this is related to API quota limits or resource usage.
2.
If there are recommended best practices (pagination, throttling, etc.)
to avoid this exception.
3.
Whether any quota increases are required on our account.
------------------------------
*Additional Notes*
-
The query is a simple campaign-level fetch and we are only filtering by
campaign status.
-
We would like to continue running this query at scale without hitting
resource limits.
------------------------------
Please let us know if you need our customer ID, request logs, or any
additional details to investigate further.
Regards,
TeamvAds
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