issues: 1334628400
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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| 1334628400 | I_kwDOBm6k_c5PjNAw | 1779 | google cloudrun updated their limits on maxscale based on memory and cpu count | 536941 | closed | 0 | 8303187 | 13 | 2022-08-10T13:27:21Z | 2022-08-14T19:42:59Z | 2022-08-14T17:07:34Z | CONTRIBUTOR | if you don't set an explicit limit on container scaling, then [google defaults to 100](https://cloud.google.com/run/docs/configuring/max-instances#limits) google recently updated the [limits on container scaling](https://cloud.google.com/run/docs/configuring/max-instances#limits), 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](https://github.com/labordata/warehouse/runs/7764725972?check_suite_focus=true#step:8:332). ``` 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. ``` | 107914493 | issue | {"url": "https://api.github.com/repos/simonw/datasette/issues/1779/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed |