issue_comments: 699524671
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/sqlite-utils/issues/179#issuecomment-699524671 | https://api.github.com/repos/simonw/sqlite-utils/issues/179 | 699524671 | MDEyOklzc3VlQ29tbWVudDY5OTUyNDY3MQ== | 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} | 709577625 |