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  • simonw · 3 ✖

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  • A way of creating indexes on newly created tables · 3 ✖

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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
987461427 https://github.com/simonw/sqlite-utils/issues/349#issuecomment-987461427 https://api.github.com/repos/simonw/sqlite-utils/issues/349 IC_kwDOCGYnMM4623cz simonw 9599 2021-12-07T01:03:43Z 2021-12-07T01:04:37Z OWNER

In terms of types, I think that means it looks like this:

```python IndexesType = Iterable[ Union[str, Iterable[str]] ]

def create( self, columns: Dict[str, Any], pk: Optional[Any] = None, ... indexes: Optional[IndexesType] = None, ): ```

 
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 A way of creating indexes on newly created tables 1071531082  
987458772 https://github.com/simonw/sqlite-utils/issues/349#issuecomment-987458772 https://api.github.com/repos/simonw/sqlite-utils/issues/349 IC_kwDOCGYnMM4622zU simonw 9599 2021-12-07T01:00:41Z 2021-12-07T01:00:41Z OWNER

I think the syntax design of this looks like: python item_pk = db[item_table].lookup( {"_item_id": item_id}, item_to_insert, column_order=("_id", "_item_id"), pk="_id", indexes=("_version",), ) So it's a sequence of column names... or a sequence of tuples for creating compound indexes: python db["dogs"].insert( {"name": "Cleo", "species": "Mutt", "hobbies": "Raiding picnics"}, indexes=(("name", "species"), "hobbies"), )

 
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 A way of creating indexes on newly created tables 1071531082  
987349633 https://github.com/simonw/sqlite-utils/issues/349#issuecomment-987349633 https://api.github.com/repos/simonw/sqlite-utils/issues/349 IC_kwDOCGYnMM462cKB simonw 9599 2021-12-06T23:19:28Z 2021-12-06T23:19:28Z OWNER

(I ended up not needing this here since .lookup() already creates a unique index on _item_id for you. Still could be a useful feature though.)

 
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 A way of creating indexes on newly created tables 1071531082  

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