issue_comments: 1419734229
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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 |
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https://github.com/simonw/sqlite-utils/issues/524#issuecomment-1419734229 | https://api.github.com/repos/simonw/sqlite-utils/issues/524 | 1419734229 | IC_kwDOCGYnMM5Un2zV | 193185 | 2023-02-06T20:53:28Z | 2023-02-06T21:16:29Z | NONE | I think it's not currently possible: sqlite-utils requires that it be one of `integer`, `text`, `float`, `blob` ([see code](https://github.com/simonw/sqlite-utils/blob/fc221f9b62ed8624b1d2098e564f525c84497969/sqlite_utils/cli.py#L2266)) IMO, this is a bit of friction and it would be nice if it was more permissive. SQLite permits developers to use any data type when creating a table. For example, this is a perfectly cromulent sqlite session that creates a table with columns of type `baz` and `bar`: ``` sqlite> create table foo(column1 baz, column2 bar); sqlite> .schema foo CREATE TABLE foo(column1 baz, column2 bar); sqlite> select * from pragma_table_info('foo'); cid name type notnull dflt_value pk ---------- ---------- ---------- ---------- ---------- ---------- 0 column1 baz 0 0 1 column2 bar 0 0 ``` The idea is that the application developer will know what meaning to ascribe to those types. For example, I'm working on a plugin to Datasette. Dates are tricky to handle. If you have some existing rows, you can look at the values in them to know how a user is serializing the dates -- as an ISO 8601 string? An RFC 3339 string? With millisecond precision? With timezone offset? But if you don't yet have any rows, you have to guess. If the column is of type `TEXT`, you don't even know that it's meant to hold a date! In this case, my plugin will look to see if the column is of type `DATE` or `DATETIME`, and assume a certain representation when writing. Perhaps there is an argument that sqlite-utils is trying to conform to SQLite's strict mode, and that is why it limits the choices. In strict mode, SQLite requires that the data type be one of `INT`, `INTEGER`, `REAL`, `TEXT`, `BLOB`, `ANY`. But that can't be the case -- sqlite-utils supports `FLOAT`, which is not one of the valid types in strict mode, and it rejects `INT`, `REAL` and `ANY`, which _are_ valid. | {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1572766460 |