issue_comments
7 rows where author_association = "NONE" and issue = 451513541 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Full text search of all tables at once? · 7 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
509042334 | https://github.com/simonw/datasette/issues/498#issuecomment-509042334 | https://api.github.com/repos/simonw/datasette/issues/498 | MDEyOklzc3VlQ29tbWVudDUwOTA0MjMzNA== | chrismp 7936571 | 2019-07-08T00:18:29Z | 2019-07-08T00:18:29Z | NONE | @simonw I made this primitive search that I've put in my Datasette project's custom templates directory: https://gist.github.com/chrismp/e064b41f08208a6f9a93150a23cf7e03 |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Full text search of all tables at once? 451513541 | |
508590397 | https://github.com/simonw/datasette/issues/498#issuecomment-508590397 | https://api.github.com/repos/simonw/datasette/issues/498 | MDEyOklzc3VlQ29tbWVudDUwODU5MDM5Nw== | chrismp 7936571 | 2019-07-04T23:34:41Z | 2019-07-04T23:34:41Z | NONE | I'll take your suggestion and do this all in Javascript. Would I need to make a |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Full text search of all tables at once? 451513541 | |
506985050 | https://github.com/simonw/datasette/issues/498#issuecomment-506985050 | https://api.github.com/repos/simonw/datasette/issues/498 | MDEyOklzc3VlQ29tbWVudDUwNjk4NTA1MA== | chrismp 7936571 | 2019-06-29T20:28:21Z | 2019-06-29T20:28:21Z | NONE | In my case, I have an ever-growing number of databases and tables within them. Most tables have FTS enabled. I cannot predict the names of future tables and databases, nor can I predict the names of the columns for which I wish to enable FTS. For my purposes, I was thinking of writing up something that sends these two GET requests to each of my databases' tables.
In the resulting JSON strings, I'd check the value of the key Is this feasible within the datasette library, or would it require some type of plugin? Or maybe you know of a better way of accomplishing this goal. Maybe I overlooked something. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Full text search of all tables at once? 451513541 | |
505228873 | https://github.com/simonw/datasette/issues/498#issuecomment-505228873 | https://api.github.com/repos/simonw/datasette/issues/498 | MDEyOklzc3VlQ29tbWVudDUwNTIyODg3Mw== | chrismp 7936571 | 2019-06-25T00:21:17Z | 2019-06-25T00:21:17Z | NONE | Eh, I'm not concerned with a relevance score right now. I think I'd be fine with a search whose results show links to data tables with at least one result. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Full text search of all tables at once? 451513541 | |
504785662 | https://github.com/simonw/datasette/issues/498#issuecomment-504785662 | https://api.github.com/repos/simonw/datasette/issues/498 | MDEyOklzc3VlQ29tbWVudDUwNDc4NTY2Mg== | chrismp 7936571 | 2019-06-23T20:47:37Z | 2019-06-23T20:47:37Z | NONE | Very cool, thank you. Using http://search-24ways.herokuapp.com as an example, let's say I want to search all FTS columns in all tables in all databases for the word "web." Here's a link to the query I'd need to run to search "web" on FTS columns in And here's a link to the JSON version of the above result. I'd like to get the JSON result of that query for each FTS table of each database in my datasette project. Is it possible in Javascript to automate the construction of query URLs like the one I linked, but for every FTS table in my datasette project? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Full text search of all tables at once? 451513541 | |
501903071 | https://github.com/simonw/datasette/issues/498#issuecomment-501903071 | https://api.github.com/repos/simonw/datasette/issues/498 | MDEyOklzc3VlQ29tbWVudDUwMTkwMzA3MQ== | chrismp 7936571 | 2019-06-13T22:35:06Z | 2019-06-13T22:35:06Z | NONE | I'd like to start working on this. I've made a custom template for Can I make additional custom Python scripts for this or must I edit datasette's files directly? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Full text search of all tables at once? 451513541 | |
499262397 | https://github.com/simonw/datasette/issues/498#issuecomment-499262397 | https://api.github.com/repos/simonw/datasette/issues/498 | MDEyOklzc3VlQ29tbWVudDQ5OTI2MjM5Nw== | chrismp 7936571 | 2019-06-05T21:28:32Z | 2019-06-05T21:28:32Z | NONE | Thinking about this more, I'd probably have to make a template page to go along with this, right? I'm guessing there's no way to add an all-databases-all-tables search to datasette's "home page" except by copying the "home page" template and editing it? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Full text search of all tables at once? 451513541 |
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]);
user 1