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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
1001104942 PR_kwDOBm6k_c4r-EVH 1475 feat: allow joins using _through in both directions bram2000 5268174 open 0     0 2021-09-20T15:28:20Z 2021-09-20T15:28:20Z   FIRST_TIME_CONTRIBUTOR simonw/datasette/pulls/1475

Currently the _through clause can only work if the FK relationship is defined in a specific direction. I don't think there is any reason for this limitation, as an FK allows joining in both directions.

This is an admittedly hacky change to implement bidirectional joins using _through. It does work for our use-case, but I don't know if there are other implications that I haven't thought of. Also if this change is desirable we probably want to make the code a little nicer.

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891969037 MDU6SXNzdWU4OTE5NjkwMzc= 1326 How to limit fields returned from the JSON API? bram2000 5268174 closed 0     1 2021-05-14T14:27:41Z 2021-05-23T02:55:06Z 2021-05-23T02:55:00Z NONE  

Hi,

I have quite wide tables, and in many cases only want a subset of the data (to save on network bandwidth). I need to use the JSON API as handling pagination is so much easier, but I can't see a way to select specific columns.

Is there a way to do this, or is it a feature request?

Thanks!

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870946764 MDU6SXNzdWU4NzA5NDY3NjQ= 1312 how to query many-to-many relationship via json API? bram2000 5268174 open 0     0 2021-04-29T12:09:49Z 2021-04-29T12:09:49Z   NONE  

Hi,

Firstly thanks for Datasette, it's great!

I'm trying to use the JSON API to query data from a Datasette instance. I have a simple 3 table many-to-many relationship, like so:

category - list of categories document - list of documents document_category - join table (a category contains many documents, and a document can be a member of multiple categories)

the document_category table foreign keys to the other two using their respective row_ids.

Now I want to return "all documents within category X" but I cannot see a way to do this without executing two queries; the first to lookup the row_id of category X, and the second to join document with document_category where category ID is <id>.

I could easily write this in SQL, but this makes programmatic handling of pagination much more difficult (we'd have to dynamically modify the SQL to select the row_id and include the correct where and limit clauses).

Is there a way to achieve this using the JSON API?

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