issue_comments

Table actions

3 rows where "created_at" is on date 2017-11-14 and user = 247192 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

  • macropin · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
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  
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  
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  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);