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- Exceeding Cloud Run memory limits when deploying a 4.8G database · 7 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
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1271101072 | https://github.com/simonw/datasette/issues/1480#issuecomment-1271101072 | https://api.github.com/repos/simonw/datasette/issues/1480 | IC_kwDOBm6k_c5Lw3aQ | fgregg 536941 | 2022-10-07T04:39:10Z | 2022-10-07T04:39:10Z | CONTRIBUTOR | switching from |
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Exceeding Cloud Run memory limits when deploying a 4.8G database 1015646369 | |
1269847461 | https://github.com/simonw/datasette/issues/1480#issuecomment-1269847461 | https://api.github.com/repos/simonw/datasette/issues/1480 | IC_kwDOBm6k_c5LsFWl | fgregg 536941 | 2022-10-06T11:21:49Z | 2022-10-06T11:21:49Z | CONTRIBUTOR | thanks @simonw, i'll spend a little more time trying to figure out why this isn't working on cloudrun, and then will flip over to fly if i can't. |
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Exceeding Cloud Run memory limits when deploying a 4.8G database 1015646369 | |
1268629159 | https://github.com/simonw/datasette/issues/1480#issuecomment-1268629159 | https://api.github.com/repos/simonw/datasette/issues/1480 | IC_kwDOBm6k_c5Lnb6n | fgregg 536941 | 2022-10-05T16:00:55Z | 2022-10-05T16:00:55Z | CONTRIBUTOR | as a next step, i'll fetch the docker image from the google registry, and see what memory and disk usage looks like when i run it locally. |
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Exceeding Cloud Run memory limits when deploying a 4.8G database 1015646369 | |
1268613335 | https://github.com/simonw/datasette/issues/1480#issuecomment-1268613335 | https://api.github.com/repos/simonw/datasette/issues/1480 | IC_kwDOBm6k_c5LnYDX | fgregg 536941 | 2022-10-05T15:45:49Z | 2022-10-05T15:45:49Z | CONTRIBUTOR | running into this as i continue to grow my labor data warehouse. Here a CloudRun PM says the container size should not count against memory: https://stackoverflow.com/a/56570717 |
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Exceeding Cloud Run memory limits when deploying a 4.8G database 1015646369 | |
947203725 | https://github.com/simonw/datasette/issues/1480#issuecomment-947203725 | https://api.github.com/repos/simonw/datasette/issues/1480 | IC_kwDOBm6k_c44dS6N | ghing 110420 | 2021-10-20T00:21:54Z | 2021-10-20T00:21:54Z | CONTRIBUTOR | This StackOverflow post, sqlite - Cloud Run: Why does my instance need so much RAM?, points to this section of the Cloud Run docs that says:
Does datasette write any large files when starting? Or does the |
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Exceeding Cloud Run memory limits when deploying a 4.8G database 1015646369 | |
947196177 | https://github.com/simonw/datasette/issues/1480#issuecomment-947196177 | https://api.github.com/repos/simonw/datasette/issues/1480 | IC_kwDOBm6k_c44dRER | ghing 110420 | 2021-10-20T00:05:10Z | 2021-10-20T00:05:10Z | CONTRIBUTOR | I was looking through the Dockerfile-generation code to see if there was anything that would cause memory usage to be a lot during deployment. I noticed that the Dockerfile runs Or would that come into play when running |
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Exceeding Cloud Run memory limits when deploying a 4.8G database 1015646369 | |
938171377 | https://github.com/simonw/datasette/issues/1480#issuecomment-938171377 | https://api.github.com/repos/simonw/datasette/issues/1480 | IC_kwDOBm6k_c4361vx | ghing 110420 | 2021-10-07T21:33:12Z | 2021-10-07T21:33:12Z | CONTRIBUTOR | Thanks for the reply @simonw. What services have you had better success with than Cloud Run for larger database? Also, what about my issue description makes you think there may be a workaround? Is there any instrumentation I could add to see at which point in the deploy the memory usage spikes? Should I be able to see this whether it's running under Docker locally, or do you suspect this is Cloud Run-specific? |
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Exceeding Cloud Run memory limits when deploying a 4.8G database 1015646369 |
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