issue_comments: 947203725
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/1480#issuecomment-947203725 | https://api.github.com/repos/simonw/datasette/issues/1480 | 947203725 | IC_kwDOBm6k_c44dS6N | 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?](https://stackoverflow.com/questions/59812405/cloud-run-why-does-my-instance-need-so-much-ram), points to [this section of the Cloud Run docs](https://cloud.google.com/run/docs/troubleshooting) that says: > Note that the Cloud Run container instances run in an environment where the files written to the local filesystem count towards the available memory. This also includes any log files that are not written to /var/log/* or /dev/log. Does datasette write any large files when starting? Or does the [`COPY` command in the Dockerfile](https://github.com/simonw/datasette/blob/main/datasette/utils/__init__.py#L349) count as writing to the local filesystem? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1015646369 |