home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

3 rows where author_association = "NONE", "created_at" is on date 2019-06-22 and user = 7936571 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

  • chrismp · 3 ✖

issue 1

  • Documentation with recommendations on running Datasette in production without using Docker 3

author_association 1

  • NONE · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
504686266 https://github.com/simonw/datasette/issues/514#issuecomment-504686266 https://api.github.com/repos/simonw/datasette/issues/514 MDEyOklzc3VlQ29tbWVudDUwNDY4NjI2Ng== chrismp 7936571 2019-06-22T17:58:50Z 2019-06-23T21:21:57Z NONE

@russss

Actually, here's what I've got in /etc/systemd/system/datasette.service

``` [Unit] Description=Datasette After=network.target

[Service] Type=simple User=chris WorkingDirectory=/home/chris/digital-library ExecStart=/home/chris/Env/datasette/lib/python3.7/site-packages/datasette serve -h 0.0.0.0 databases/*.db --cors --metadata metadata.json Restart=on-failure

[Install] WantedBy=multi-user.target ```

I ran: $ sudo systemctl daemon-reload $ sudo systemctl enable datasette $ sudo systemctl start datasette Then I ran: $ journalctl -u datasette -f

Got this message.

Hint: You are currently not seeing messages from other users and the system. Users in groups 'adm', 'systemd-journal', 'wheel' can see all messages. Pass -q to turn off this notice. -- Logs begin at Thu 2019-06-20 00:05:23 CEST. -- Jun 22 19:55:57 ns331247 systemd[16176]: datasette.service: Failed to execute command: Permission denied Jun 22 19:55:57 ns331247 systemd[16176]: datasette.service: Failed at step EXEC spawning /home/chris/Env/datasette/lib/python3.7/site-packages/datasette: Permission denied Jun 22 19:55:57 ns331247 systemd[16184]: datasette.service: Failed to execute command: Permission denied Jun 22 19:55:57 ns331247 systemd[16184]: datasette.service: Failed at step EXEC spawning /home/chris/Env/datasette/lib/python3.7/site-packages/datasette: Permission denied Jun 22 19:55:58 ns331247 systemd[16186]: datasette.service: Failed to execute command: Permission denied Jun 22 19:55:58 ns331247 systemd[16186]: datasette.service: Failed at step EXEC spawning /home/chris/Env/datasette/lib/python3.7/site-packages/datasette: Permission denied Jun 22 19:55:58 ns331247 systemd[16190]: datasette.service: Failed to execute command: Permission denied Jun 22 19:55:58 ns331247 systemd[16190]: datasette.service: Failed at step EXEC spawning /home/chris/Env/datasette/lib/python3.7/site-packages/datasette: Permission denied Jun 22 19:55:58 ns331247 systemd[16191]: datasette.service: Failed to execute command: Permission denied Jun 22 19:55:58 ns331247 systemd[16191]: datasette.service: Failed at step EXEC spawning /home/chris/Env/datasette/lib/python3.7/site-packages/datasette: Permission denied When I go to the address for my server, I am met with the standard "Welcome to nginx" message:

``` Welcome to nginx! If you see this page, the nginx web server is successfully installed and working. Further configuration is required.

For online documentation and support please refer to nginx.org. Commercial support is available at nginx.com.

Thank you for using nginx. ```

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
Documentation with recommendations on running Datasette in production without using Docker 459397625  
504685187 https://github.com/simonw/datasette/issues/514#issuecomment-504685187 https://api.github.com/repos/simonw/datasette/issues/514 MDEyOklzc3VlQ29tbWVudDUwNDY4NTE4Nw== chrismp 7936571 2019-06-22T17:43:24Z 2019-06-22T17:43:24Z NONE

WorkingDirectory=/path/to/data

@russss, Which directory does this represent?

It's the working directory (cwd) of the spawned process. In this case if you set it to the directory your data is in, you can use relative paths to the db (and metadata/templates/etc) in the ExecStart command.

In my case, on a remote server, I set up a virtual environment in /home/chris/Env/datasette, and when I activated that environment I ran pip install datasette.

My datasette project is in /home/chris/datatsette-project, so I guess I'd use that directory in the WorkingDirectory parameter?

And the ExecStart parameter would be /home/chris/Env/datasette/lib/python3.7/site-packages/datasette serve -h 0.0.0.0 my.db I'm guessing?

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
Documentation with recommendations on running Datasette in production without using Docker 459397625  
504684709 https://github.com/simonw/datasette/issues/514#issuecomment-504684709 https://api.github.com/repos/simonw/datasette/issues/514 MDEyOklzc3VlQ29tbWVudDUwNDY4NDcwOQ== chrismp 7936571 2019-06-22T17:36:25Z 2019-06-22T17:36:25Z NONE

WorkingDirectory=/path/to/data

@russss, Which directory does this represent?

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
Documentation with recommendations on running Datasette in production without using Docker 459397625  

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]);
Powered by Datasette · Queries took 64.312ms · About: github-to-sqlite