issue_comments

Table actions

4 rows where issue = 459397625 and user = 45057 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

  • russss · 4 ✖

issue 1

  • Documentation with recommendations on running Datasette in production without using Docker · 4 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
504690927 https://github.com/simonw/datasette/issues/514#issuecomment-504690927 https://api.github.com/repos/simonw/datasette/issues/514 MDEyOklzc3VlQ29tbWVudDUwNDY5MDkyNw== russss 45057 2019-06-22T19:06:07Z 2019-06-22T19:06:07Z CONTRIBUTOR

I'd rather not turn this into a systemd support thread, but you're trying to execute the package directory there. Your datasette executable is probably at /home/chris/Env/datasette/bin/datasette.

 
{
    "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  
504684831 https://github.com/simonw/datasette/issues/514#issuecomment-504684831 https://api.github.com/repos/simonw/datasette/issues/514 MDEyOklzc3VlQ29tbWVudDUwNDY4NDgzMQ== russss 45057 2019-06-22T17:38:23Z 2019-06-22T17:38:23Z CONTRIBUTOR

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.

 
{
    "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  
504663766 https://github.com/simonw/datasette/issues/514#issuecomment-504663766 https://api.github.com/repos/simonw/datasette/issues/514 MDEyOklzc3VlQ29tbWVudDUwNDY2Mzc2Ng== russss 45057 2019-06-22T12:57:59Z 2019-06-22T12:57:59Z CONTRIBUTOR

This example is useful to - I like how it has a Makefile that knows how to set up systemd: https://github.com/pikesley/Queube

I wasn't even aware it was possible to add a systemd service at an arbitrary path, but it seems a little messy to me.

Maybe worth noting that systemd does support per-user services which don't require root access. Cool but probably overkill for most people (especially when you're going to need root to listen on port 80 anyway, directly or via a reverse proxy).

 
{
    "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  
504662904 https://github.com/simonw/datasette/issues/514#issuecomment-504662904 https://api.github.com/repos/simonw/datasette/issues/514 MDEyOklzc3VlQ29tbWVudDUwNDY2MjkwNA== russss 45057 2019-06-22T12:45:21Z 2019-06-22T12:45:39Z CONTRIBUTOR

On most modern Linux distros, systemd is the easiest answer.

Example systemd unit file (save to /etc/systemd/system/datasette.service): ``` [Unit] Description=Datasette After=network.target

[Service] Type=simple User=<username> WorkingDirectory=/path/to/data ExecStart=/path/to/datasette serve -h 0.0.0.0 ./my.db Restart=on-failure

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

Activate it with: bash $ sudo systemctl daemon-reload $ sudo systemctl enable datasette $ sudo systemctl start datasette

Logs are best viewed using journalctl -u datasette -f.

 
{
    "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]);