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API requests that fetch a larger number of devices are very slow when using config contexts #11599
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opened 2025-12-29 21:47:29 +01:00 by adam
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Reference: starred/netbox#11599
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Originally created by @fabi125 on GitHub (Sep 11, 2025).
Originally assigned to: @jnovinger on GitHub.
NetBox Edition
NetBox Community
NetBox Version
v4.2.9
Python Version
3.12
Steps to Reproduce
Expected Behavior
The query should return reasonably fast (<1s).
Observed Behavior
The query takes over a minute to complete.
Running the same query with
&exclude=config_contextreturns very fast as expected.Using the debug mode we can observe that the following query is being constructed:
This unfortunately seems to mean that the database calculates the config context data for all devices in the result set, not just the current page of 10 devices.
I'm not very good at Django but with a bit of digging the only halfway reasonable solution that I could come up with is the following:
This will essentially run the query twice for api list requests. Once without calculating the config context (should be very fast) and then again with the calculation but limited to the keys that are being returned.
To me this feels kinda hacky, so I'm looking for some feedback here. In my testing this made the requests as expected.
@jnovinger commented on GitHub (Sep 12, 2025):
I was able to script the insertion of a similar number of device/config contexts and confirm that there is definitely a performance gap in these circumstances. On a local development laptop, making the API request as described above took ~1375ms (where 1018ms of that was time spent in SQL queries and 985ms spent in one particular query) while making the same request with
exclude=config_contextas a GET param took only 222ms with 41ms of that spent in SQL queries.The offending query I saw was the same as mentioned above. From what I can see, I concur with @fabi125 , that the root cause is the aggregate being run on a full queryset before being paginated. I'm not sure what the best approach to fix this is.
@fabi125 commented on GitHub (Sep 15, 2025):
May I request to keep this issue open for now? I think #20346 is a great start but even with it I'm still seeing those slow requests.
@jnovinger commented on GitHub (Sep 15, 2025):
My goal with #20346 was to get something in to
mainquickly so that users could see some improvement with this behavior in the v4.4.1 release that is scheduled for tomorrow.I think the right way to handle this is for us to file a follow-up issue for additional improvement. I was planning to do that shortly, but please feel free to do so if you would like.