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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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699524671 | https://github.com/simonw/sqlite-utils/issues/179#issuecomment-699524671 | https://api.github.com/repos/simonw/sqlite-utils/issues/179 | MDEyOklzc3VlQ29tbWVudDY5OTUyNDY3MQ== | simonw 9599 | 2020-09-26T17:31:23Z | 2020-09-27T20:31:50Z | OWNER | SQL query for detecting integers: ```sql select 'contains_non_integer' as result from mytable where cast(cast(mycolumn AS INTEGER) AS TEXT) != mycolumn limit 1 ``` This will return a single row with a 1 as soon as it comes across a column that contains a non-integer - so it short circuits quickly on TEXT columns with non-integers in them. If everything in the column is an integer it will scan the whole thing before returning no rows. More extensive demo: ```sql select value, cast(cast(value AS INTEGER) AS TEXT) = value as is_valid_int from ( select '1' as value union select '1.1' as value union select 'dog' as value union select null as value ) ``` https://latest.datasette.io/fixtures?sql=select%0D%0A++value%2C%0D%0A++cast%28cast%28value+AS+INTEGER%29+AS+TEXT%29+%3D+value+as+is_valid_int%0D%0Afrom%0D%0A++%28%0D%0A++++select%0D%0A++++++%271%27+as+value%0D%0A++++union%0D%0A++++select%0D%0A++++++%271.1%27+as+value%0D%0A++++union%0D%0A++++select%0D%0A++++++%27dog%27+as+value%0D%0A++++union%0D%0A++++select%0D%0A++++++null+as+value%0D%0A++%29 value | is_valid_int -- | -- | 1 | 1 1.1 | 0 dog | 0 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | sqlite-utils transform/insert --detect-types 709577625 | |
699526149 | https://github.com/simonw/sqlite-utils/issues/179#issuecomment-699526149 | https://api.github.com/repos/simonw/sqlite-utils/issues/179 | MDEyOklzc3VlQ29tbWVudDY5OTUyNjE0OQ== | simonw 9599 | 2020-09-26T17:43:28Z | 2020-09-26T17:43:28Z | OWNER | Posed a question about this on the SQLite forum here: https://sqlite.org/forum/forumpost/ab0dcd66ef | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | sqlite-utils transform/insert --detect-types 709577625 | |
699684535 | https://github.com/simonw/sqlite-utils/issues/179#issuecomment-699684535 | https://api.github.com/repos/simonw/sqlite-utils/issues/179 | MDEyOklzc3VlQ29tbWVudDY5OTY4NDUzNQ== | simonw 9599 | 2020-09-27T20:30:31Z | 2020-09-27T20:30:31Z | OWNER | This recipe looks like it might be the way to detect floats: ```sql select value, cast(cast(value AS REAL) AS TEXT) in (value, value || '.0') as is_valid_float from ( select '1' as value union select '1.1' as value union select 'dog' as value union select null as value ) ``` Demo: https://latest.datasette.io/fixtures?sql=select%0D%0A++value%2C%0D%0A++cast%28cast%28value+AS+REAL%29+AS+TEXT%29+in+%28value%2C+value+%7C%7C+%27.0%27%29+as+is_valid_float%0D%0Afrom%0D%0A++%28%0D%0A++++select%0D%0A++++++%271%27+as+value%0D%0A++++union%0D%0A++++select%0D%0A++++++%271.1%27+as+value%0D%0A++++union%0D%0A++++select%0D%0A++++++%27dog%27+as+value%0D%0A++++union%0D%0A++++select%0D%0A++++++null+as+value%0D%0A++%29 value | is_valid_float -- | -- | 1 | 1 1.1 | 1 dog | 0 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | sqlite-utils transform/insert --detect-types 709577625 | |
864349066 | https://github.com/simonw/sqlite-utils/issues/179#issuecomment-864349066 | https://api.github.com/repos/simonw/sqlite-utils/issues/179 | MDEyOklzc3VlQ29tbWVudDg2NDM0OTA2Ng== | simonw 9599 | 2021-06-19T03:36:04Z | 2021-06-19T03:36:04Z | OWNER | This work is going to happen in #282. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | sqlite-utils transform/insert --detect-types 709577625 |
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