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  • date, year, month and day querystring lookups · 3 ✖

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  • OWNER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
392575160 https://github.com/simonw/datasette/issues/36#issuecomment-392575160 https://api.github.com/repos/simonw/datasette/issues/36 MDEyOklzc3VlQ29tbWVudDM5MjU3NTE2MA== simonw 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):

 
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 date, year, month and day querystring lookups 268262480  
345448756 https://github.com/simonw/datasette/issues/36#issuecomment-345448756 https://api.github.com/repos/simonw/datasette/issues/36 MDEyOklzc3VlQ29tbWVudDM0NTQ0ODc1Ng== simonw 9599 2017-11-18T15:17:43Z 2017-11-18T15:17:43Z OWNER 
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 date, year, month and day querystring lookups 268262480  
345262738 https://github.com/simonw/datasette/issues/36#issuecomment-345262738 https://api.github.com/repos/simonw/datasette/issues/36 MDEyOklzc3VlQ29tbWVudDM0NTI2MjczOA== simonw 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

 
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 date, year, month and day querystring lookups 268262480  

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