github
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https://github.com/simonw/datasette/issues/1768#issuecomment-1214405023 | https://api.github.com/repos/simonw/datasette/issues/1768 | 1214405023 | IC_kwDOBm6k_c5IYlmf | 9599 | 2022-08-14T15:54:11Z | 2022-08-14T15:54:11Z | OWNER | Also trying this locally: datasette publish cloudrun fixtures.db --service issue-1768 https://issue-1768-j7hipcg4aq-uc.a.run.app/-/versions <img width="775" alt="image" src="https://user-images.githubusercontent.com/9599/184544946-7cbce9c6-4cb3-4efa-96d8-1741afd1d6f4.png"> | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/1768#issuecomment-1177966193 | https://api.github.com/repos/simonw/datasette/issues/1768 | 1177966193 | IC_kwDOBm6k_c5GNlZx | 9599 | 2022-07-07T17:25:22Z | 2022-07-07T17:25:22Z | OWNER | I tried this on Datasette Cloud and swapping `datasetteproject/datasette` to `python:3.10-slim-bullseye` as the base image dropped the overall image size from ~232MB to ~166MB - but note that I don't have SpatiaLite in that second image. | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/1768#issuecomment-1176550192 | https://api.github.com/repos/simonw/datasette/issues/1768 | 1176550192 | IC_kwDOBm6k_c5GILsw | 9599 | 2022-07-06T18:39:11Z | 2022-07-06T18:39:11Z | OWNER | Relevant Twitter thread: https://twitter.com/simonw/status/1544710944462254080 Looks like `python:3.10-slim-bullseye` is a good option, see https://pythonspeed.com/articles/base-image-python-docker-images/ | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/1768#issuecomment-1214404690 | https://api.github.com/repos/simonw/datasette/issues/1768 | 1214404690 | IC_kwDOBm6k_c5IYlhS | 9599 | 2022-08-14T15:52:02Z | 2022-08-14T15:52:02Z | OWNER | Tested locally with: datasette package fixtures.db --extra-options="--setting sql_time_limit_ms 2500" \ -t datasette-package-python-upgrade And then: ``` docker run -p 8081:8001 datasette-package-python-upgrade INFO: Started server process [8] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8001 (Press CTRL+C to quit) ``` <img width="832" alt="image" src="https://user-images.githubusercontent.com/9599/184544853-bc2d06cc-ff9a-47f3-9744-e8916e531929.png"> | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/1768#issuecomment-1214403875 | https://api.github.com/repos/simonw/datasette/issues/1768 | 1214403875 | IC_kwDOBm6k_c5IYlUj | 9599 | 2022-08-14T15:46:49Z | 2022-08-14T15:46:49Z | OWNER | https://hub.docker.com/layers/python/library/python/3.10.6-slim-bullseye/images/sha256-cf85cd32e60184a94d88a0103c289d09024abffaa77680d116d7cc837668ea15?context=explore is the most recent - `3.10.6-slim-bullseye`. | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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