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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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592999503 | https://github.com/simonw/sqlite-utils/issues/46#issuecomment-592999503 | https://api.github.com/repos/simonw/sqlite-utils/issues/46 | MDEyOklzc3VlQ29tbWVudDU5Mjk5OTUwMw== | chrishas35 35075 | 2020-02-29T22:08:20Z | 2020-02-29T22:08:20Z | NONE | @simonw any thoughts on allow extracts to specify the lookup column name? If I'm understanding the documentation right, `.lookup()` allows you to define the "value" column (the documentation uses name), but when you use `extracts` keyword as part of `.insert()`, `.upsert()` etc. the lookup must be done against a column named "value". I have an existing lookup table that I've populated with columns "id" and "name" as opposed to "id" and "value", and seems I can't use `extracts=`, unless I'm missing something... Initial thought on how to do this would be to allow the dictionary value to be a tuple of table name column pair... so: ``` table = db.table("trees", extracts={"species_id": ("Species", "name"}) ``` I haven't dug too much into the existing code yet, but does this make sense? Worth doing? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | extracts= option for insert/update/etc 471780443 |
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