google cloudrun updated their limits on maxscale based on memory and cpu count #1779
Description
if you don't set an explicit limit on container scaling, then google defaults to 100
google recently updated the limits on container scaling, such that if you set up datasette to use more memory or cpu, then you need to set the maxScale argument much smaller than 100.
would be nice if datasette publish could do this math for you and set the right maxScale.
Log of an failing publish run.
ERROR: (gcloud.run.deploy) spec.template.spec.containers[0].resources.limits.cpu: Invalid value specified for cpu. For the specified value, maxScale may not exceed 15.
Consider running your workload in a region with greater capacity, decreasing your requested cpu-per-instance, or requesting an increase in quota for this region if you are seeing sustained usage near this limit, see https://cloud.google.com/run/quotas. Your project may gain access to further scaling by adding billing information to your account.
Traceback (most recent call last):
File "/home/runner/.local/bin/datasette", line 8, in <module>
sys.exit(cli())
File "/home/runner/.local/lib/python3.8/site-packages/click/core.py", line 1128, in __call__
return self.main(*args, **kwargs)
File "/home/runner/.local/lib/python3.8/site-packages/click/core.py", line 1053, in main
rv = self.invoke(ctx)
File "/home/runner/.local/lib/python3.8/site-packages/click/core.py", line 1659, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/runner/.local/lib/python3.8/site-packages/click/core.py", line 1659, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/runner/.local/lib/python3.8/site-packages/click/core.py", line 1395, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/runner/.local/lib/python3.8/site-packages/click/core.py", line 754, in invoke
return __callback(*args, **kwargs)
File "/home/runner/.local/lib/python3.8/site-packages/datasette/publish/cloudrun.py", line 160, in cloudrun
check_call(
File "/usr/lib/python3.8/subprocess.py", line 364, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command 'gcloud run deploy --allow-unauthenticated --platform=managed --image gcr.io/labordata/datasette warehouse --memory 8Gi --cpu 2' returned non-zero exit status 1.