issue_comments

Table actions

5 rows where issue = 1296222572 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

issue 1

  • Upgrade to 3.10.6-slim-bullseye Docker base image · 5 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1214405023 https://github.com/simonw/datasette/issues/1768#issuecomment-1214405023 https://api.github.com/repos/simonw/datasette/issues/1768 IC_kwDOBm6k_c5IYlmf simonw 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

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Upgrade to 3.10.6-slim-bullseye Docker base image 1296222572  
1214404690 https://github.com/simonw/datasette/issues/1768#issuecomment-1214404690 https://api.github.com/repos/simonw/datasette/issues/1768 IC_kwDOBm6k_c5IYlhS simonw 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) 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Upgrade to 3.10.6-slim-bullseye Docker base image 1296222572  
1214403875 https://github.com/simonw/datasette/issues/1768#issuecomment-1214403875 https://api.github.com/repos/simonw/datasette/issues/1768 IC_kwDOBm6k_c5IYlUj simonw 9599 2022-08-14T15:46:49Z 2022-08-14T15:46:49Z OWNER 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Upgrade to 3.10.6-slim-bullseye Docker base image 1296222572  
1177966193 https://github.com/simonw/datasette/issues/1768#issuecomment-1177966193 https://api.github.com/repos/simonw/datasette/issues/1768 IC_kwDOBm6k_c5GNlZx simonw 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
}
 Upgrade to 3.10.6-slim-bullseye Docker base image 1296222572  
1176550192 https://github.com/simonw/datasette/issues/1768#issuecomment-1176550192 https://api.github.com/repos/simonw/datasette/issues/1768 IC_kwDOBm6k_c5GILsw simonw 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
}
 Upgrade to 3.10.6-slim-bullseye Docker base image 1296222572  

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]);