issue_comments: 504785662
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/498#issuecomment-504785662 | https://api.github.com/repos/simonw/datasette/issues/498 | 504785662 | MDEyOklzc3VlQ29tbWVudDUwNDc4NTY2Mg== | 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](http://search-24ways.herokuapp.com/24ways-f8f455f?sql=select+count%28*%29from+articles+where+rowid+in+%28select+rowid+from+articles_fts+where+articles_fts+match+%3Asearch%29&search=web) to the query I'd need to run to search "web" on FTS columns in `articles` table of the `24ways` database. And [here's a link](http://search-24ways.herokuapp.com/24ways-f8f455f.json?sql=select+count%28*%29from+articles+where+rowid+in+%28select+rowid+from+articles_fts+where+articles_fts+match+%3Asearch%29&search=web) 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} | 451513541 |