issue_comments: 1319582239
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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https://github.com/simonw/datasette/issues/1900#issuecomment-1319582239 | https://api.github.com/repos/simonw/datasette/issues/1900 | 1319582239 | IC_kwDOBm6k_c5Opzof | 9599 | 2022-11-18T05:55:38Z | 2022-11-18T05:55:38Z | OWNER | Trying this out locally with this 69MB SpatiaLite file I happened to have lying around (from testing `shapefile-to-sqlite` a while ago): https://static.simonwillison.net/static/2022/nps-spatialite.db ``` % datasette package nps-spatialite.db --spatialite ... => [2/6] COPY . /app 0.4s => [3/6] WORKDIR /app 0.0s => [4/6] RUN apt-get update && apt-get install -y python3-dev gcc libsqlite3-mod-spatialite && rm -rf /var/lib/apt/lists/* 29.6s => [5/6] RUN pip install -U datasette 12.0s => [6/6] RUN datasette inspect nps-spatialite.db --inspect-file inspect-data.json 2.6s => exporting to image 3.0s => => exporting layers 3.0s => => writing image sha256:4dfef1c373c5c057ef7ac22344f834d522acef24313a1b25d2eba9e500066b8f 0.0s ``` And then: docker run -p 8001:8001 4dfef1c373c5 This worked fine for me. I ran `datasette package` using Datasette 0.63.1. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1452572348 |