issue_comments
1 row where "created_at" is on date 2022-06-13 and reactions = "{"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}"
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id ▼ | html_url | issue_url | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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1154373361 | https://github.com/simonw/sqlite-utils/issues/441#issuecomment-1154373361 | https://api.github.com/repos/simonw/sqlite-utils/issues/441 | IC_kwDOCGYnMM5Ezlbx | simonw 9599 | 2022-06-13T20:01:25Z | 2022-06-13T20:01:25Z | OWNER | Yeah, at the moment the best way to do this is with `search_sql()`, but you're right it really isn't very intuitive. Here's how I would do this, using a CTE trick to combine the queries: ```python search_sql = db["articles"].search_sql(columns=["title", "author"])) sql = f""" with search_results as ({search_sql}) select * from search_results where owner = :owner """ results = db.query(sql, {"query": "my search query", "owner": "my owner"}) ``` I'm not sure if `sqlite-utils` should ever evolve to provide a better way of doing this kind of thing to be honest - if it did, it would turn into more of an ORM. Something like [PeeWee](http://docs.peewee-orm.com/en/latest/) may be a better option here. | {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Combining `rows_where()` and `search()` to limit which rows are searched 1257724585 |
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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]);
updated_at (date) 1 ✖