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/1880#issuecomment-1311273063,https://api.github.com/repos/simonw/datasette/issues/1880,1311273063,IC_kwDOBm6k_c5OKHBn,9599,2022-11-11T06:15:28Z,2022-11-11T06:15:28Z,OWNER,"The `_internal` database is intended to help Datasette handle much larger attached databases. Right now Datasette attempts to show every database on the https://latest.datasette.io/ index page and every table on the https://latest.datasette.io/fixtures database index page - but these are not paginated. If you had a database containing 1,000 tables the database index page would get pretty slow.

So I want to be able to paginate (and search) those. But to paginate them it's useful to have them in a database table itself, since then I can paginate using SQL.

My plan for `_internal` is to use it to implement those advanced browsing features. I've not completed this work yet though. See this issue for more details on that:

- #417","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1433576351,
https://github.com/simonw/datasette/issues/1880#issuecomment-1311271298,https://api.github.com/repos/simonw/datasette/issues/1880,1311271298,IC_kwDOBm6k_c5OKGmC,9599,2022-11-11T06:12:29Z,2022-11-11T06:12:29Z,OWNER,"I think you may have misunderstood this feature. This is talking about the `_internal` in-memory database, which maintains a set of tables that list the databases and tables that are attached to Datasette.

They're not a copy of the data itself - just a list of table names, column names and database names.

You can see what that database looks like by signing in as root - running `datasette --root` and clicking the link. Or you can see an example here:

- Click the button on https://latest.datasette.io/login-as-root
- Now visit https://latest.datasette.io/_internal

For the example instance that looks like this:

<img width=""697"" alt=""image"" src=""https://user-images.githubusercontent.com/9599/201275230-b6375574-17f0-4cd8-b363-0c69a5907080.png"">

The two most interesting tables in there are these ones:

<img width=""1703"" alt=""image"" src=""https://user-images.githubusercontent.com/9599/201275343-589eb6d7-6a9f-403c-b84a-07455d936a85.png"">

<img width=""1670"" alt=""CleanShot 2022-11-10 at 22 11 23@2x"" src=""https://user-images.githubusercontent.com/9599/201275287-04e6c57d-3ef9-4987-9a8b-5d421a48c452.png"">

As you can see, it's just the table schema itself and the columns that make up the tables. Even if you have hundreds of databases connected each with hundreds of tables this should still only add up to a few MB of RAM.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1433576351,