issue_comments
7 rows where issue = 273127694
This data as json, CSV (advanced)
Suggested facets: user, author_association, reactions, created_at (date), updated_at (date)
| id ▼ | html_url | issue_url | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 343769692 | https://github.com/simonw/datasette/issues/57#issuecomment-343769692 | https://api.github.com/repos/simonw/datasette/issues/57 | MDEyOklzc3VlQ29tbWVudDM0Mzc2OTY5Mg== | simonw 9599 | 2017-11-12T21:32:36Z | 2017-11-12T21:32:36Z | OWNER | I have created a Docker Hub public repository for this: https://hub.docker.com/r/simonwillison/datasette/ | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Ship a Docker image of the whole thing 273127694 | |
| 344145265 | https://github.com/simonw/datasette/issues/57#issuecomment-344145265 | https://api.github.com/repos/simonw/datasette/issues/57 | MDEyOklzc3VlQ29tbWVudDM0NDE0NTI2NQ== | macropin 247192 | 2017-11-14T04:45:38Z | 2017-11-14T04:45:38Z | CONTRIBUTOR | I'm happy to contribute this. Just let me know if you want a Dockerfile for development or production purposes, or both. If it's prod then we can just pip install the source from pypi, otherwise for dev we'll need a `requirements.txt` to speed up rebuilds. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Ship a Docker image of the whole thing 273127694 | |
| 344147583 | https://github.com/simonw/datasette/issues/57#issuecomment-344147583 | https://api.github.com/repos/simonw/datasette/issues/57 | MDEyOklzc3VlQ29tbWVudDM0NDE0NzU4Mw== | macropin 247192 | 2017-11-14T05:03:47Z | 2017-11-14T05:03:47Z | CONTRIBUTOR | Let me know if you'd like a PR. The image is usable as `docker run --rm -t -i -p 9000:8001 -v $(pwd)/db:/db datasette datasette serve /db/chinook.db` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Ship a Docker image of the whole thing 273127694 | |
| 344149165 | https://github.com/simonw/datasette/issues/57#issuecomment-344149165 | https://api.github.com/repos/simonw/datasette/issues/57 | MDEyOklzc3VlQ29tbWVudDM0NDE0OTE2NQ== | simonw 9599 | 2017-11-14T05:16:34Z | 2017-11-14T05:17:14Z | OWNER | I’m intrigued by this pattern: https://github.com/macropin/datasette/blob/147195c2fdfa2b984d8f9fc1c6cab6634970a056/Dockerfile#L8 What’s the benefit of doing that? Does it result in a smaller image size? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Ship a Docker image of the whole thing 273127694 | |
| 344151223 | https://github.com/simonw/datasette/issues/57#issuecomment-344151223 | https://api.github.com/repos/simonw/datasette/issues/57 | MDEyOklzc3VlQ29tbWVudDM0NDE1MTIyMw== | macropin 247192 | 2017-11-14T05:32:28Z | 2017-11-14T05:33:03Z | CONTRIBUTOR | The pattern is called "multi-stage builds". And the result is a svelte 226MB image (201MB for 3.6-slim) vs 700MB+ for the full image. It's possible to get it even smaller, but that takes a lot more work. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Ship a Docker image of the whole thing 273127694 | |
| 344185817 | https://github.com/simonw/datasette/issues/57#issuecomment-344185817 | https://api.github.com/repos/simonw/datasette/issues/57 | MDEyOklzc3VlQ29tbWVudDM0NDE4NTgxNw== | simonw 9599 | 2017-11-14T08:46:24Z | 2017-11-14T08:46:24Z | OWNER | Thanks for the explanation! Please do start a pull request. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Ship a Docker image of the whole thing 273127694 | |
| 400903871 | https://github.com/simonw/datasette/issues/57#issuecomment-400903871 | https://api.github.com/repos/simonw/datasette/issues/57 | MDEyOklzc3VlQ29tbWVudDQwMDkwMzg3MQ== | simonw 9599 | 2018-06-28T04:01:38Z | 2018-06-28T04:01:38Z | OWNER | Shipped to Docker Hub: https://hub.docker.com/r/datasetteproject/datasette/ I did this manually the first time. I'll set Travis up to do this automatically in #329 | {"total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Ship a Docker image of the whole thing 273127694 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] (
[html_url] TEXT,
[issue_url] TEXT,
[id] INTEGER PRIMARY KEY,
[node_id] TEXT,
[user] INTEGER REFERENCES [users]([id]),
[created_at] TEXT,
[updated_at] TEXT,
[author_association] TEXT,
[body] TEXT,
[reactions] TEXT,
[issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
ON [issue_comments] ([user]);