id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,pull_request,body,repo,type,active_lock_reason,performed_via_github_app,reactions,draft,state_reason
925305186,MDU6SXNzdWU5MjUzMDUxODY=,282,Automatic type detection for CSV data,9599,closed,0,,,4,2021-06-19T03:33:21Z,2021-06-19T04:42:03Z,2021-06-19T04:38:00Z,OWNER,,"I've touched on this before in #179 - but now that I've added `sqlite-utils memory` this is much more important - because unlike with `sqlite-utils insert` the in-memory command doesn't give you the opportunity to fix any types you imported from CSV, so queries like `select * from stdin where age > 3` are never going to work correctly against these temporary in-memory tables.

Teaching `sqlite-utils insert` to detect types for columns in a CSV file would be a backwards-compatibility breaking change. Teaching `sqlite-utils memory` that trick would not be, since it hasn't been included in a release yet.

It's a little inconsistent, but I'm going to have `sqlite-utils memory` default to detecting types while `sqlite-utils insert` does not. In each case this can be controlled by a new command-line option:

    cat file.csv | sqlite-utils memory - --no-detect-types

To opt-in for `sqlite-utils insert`:

    cat file.csv | sqlite-utils insert blah.db blah - --detect-types

I'll have short options for these too: `-n` for `--no-detect-types` and `-d` for `--detect-types`.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/282/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,completed
709577625,MDU6SXNzdWU3MDk1Nzc2MjU=,179,sqlite-utils transform/insert --detect-types,9599,closed,0,,,4,2020-09-26T17:28:55Z,2021-06-19T03:36:16Z,2021-06-19T03:36:05Z,OWNER,,"Idea from https://github.com/simonw/datasette-edit-tables/issues/13 - provide Python utility methods and accompanying CLI options for detecting the likely types of TEXT columns.

So if you have a text column that actually contained exclusively integer string values, it can let you know and let you run transform against it.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/179/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed