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/datasette/issues/36#issuecomment-392575160,https://api.github.com/repos/simonw/datasette/issues/36,392575160,MDEyOklzc3VlQ29tbWVudDM5MjU3NTE2MA==,9599,2018-05-28T17:30:52Z,2018-05-28T17:30:52Z,OWNER,"I've changed my mind about this. ""Select every record on the 3rd day of the month"" doesn't strike me as an actually useful feature. ""Select every record in 2018 / in May 2018 / on 1st May 2018"", if you are using the SQLite-preferred datestring format, are already supported using LIKE queries (or the startswith filter): * https://fivethirtyeight.datasettes.com/fivethirtyeight/inconvenient-sequel%2Fratings?timestamp__startswith=2017 * https://fivethirtyeight.datasettes.com/fivethirtyeight/inconvenient-sequel%2Fratings?timestamp__startswith=2017-08 * https://fivethirtyeight.datasettes.com/fivethirtyeight/inconvenient-sequel%2Fratings?timestamp__startswith=2017-08-29 ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",268262480, https://github.com/simonw/datasette/issues/36#issuecomment-345448756,https://api.github.com/repos/simonw/datasette/issues/36,345448756,MDEyOklzc3VlQ29tbWVudDM0NTQ0ODc1Ng==,9599,2017-11-18T15:17:43Z,2017-11-18T15:17:43Z,OWNER,"This may be useful: https://github.com/coleifer/peewee/blob/db85167d93861451a1fe7cde8c4f05748b222634/peewee.py#L162-L185","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",268262480, https://github.com/simonw/datasette/issues/36#issuecomment-345262738,https://api.github.com/repos/simonw/datasette/issues/36,345262738,MDEyOklzc3VlQ29tbWVudDM0NTI2MjczOA==,9599,2017-11-17T14:45:37Z,2017-11-17T14:45:37Z,OWNER,"Consider for example https://fivethirtyeight.datasettes.com/fivethirtyeight/inconvenient-sequel%2Fratings The idea here is to be able to support querystring parameters like this: * `?timestamp___date=2017-07-17` - return every item where the timestamp falls on that date * `?timestamp___year=2017` - return every item where the timestamp falls within 2017 * `?timestamp___month=1` - return every item where the month component is January * `?timestamp___day=10` - return every item where the day-of-the-month component is 10 This is similar to #64 but a fair bit more complicated. SQLite date functions are documented here: https://sqlite.org/lang_datefunc.html ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",268262480,