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graphql-engine/v3/crates/sql
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Daniel Chambers 862ad8e0dc Update ndc-models to latest version which includes new name newtypes (#791) 
This PR updated ndc-models to the latest version on main. This version
is still a 0.1.x version, but it now includes all the [new
newtypes](https://github.com/hasura/ndc-spec/pull/156) that wrap
previously stringly-typed things. For example, `ArgumentName`,
`FieldName`, etc.

This pervades across the entire engine, but thankfully the changes are
mostly mechanical repetitive changes. Usually you will see conversions
from `String`-typed variables into the newtypes using this sort of form:
`FieldName::from(string.as_str())`, which is the most efficient way
copying the value (the str slice is copied). Or you will see usages of
the newtype as a raw string by `.as_str()`-ing it. Converting the
newtypes into a String can be done with `.into()` if owned, but if
referenced `.as_str().to_owned()` performs the clone and type
conversion.

Other changes:
* A few minor instances of `ok_or()` usages (or similar) have been
converted into lazy error construction variants (eg `ok_or_else()`)

V3_GIT_ORIGIN_REV_ID: 64a371ae6197ef3be98a6f7cdc4052d654a43da0
2024-07-04 08:58:12 +00:00
..
src Update ndc-models to latest version which includes new name newtypes (#791) 2024-07-04 08:58:12 +00:00
Cargo.toml Experimental SQL interface (#742) 2024-06-25 18:46:39 +00:00
readme.md Experimental SQL interface (#742) 2024-06-25 18:46:39 +00:00

readme.md

SQL Interface

An experimental SQL interface over OpenDD models. This is mostly targeted at AI use cases for now - GenAI models are better at generating SQL queries than GraphQL queries.

This is implemented using the Apache DataFusion Query Engine by deriving the SQL metadata for datafusion from Open DDS metadata. As the implementation currently stands, once we get a LogicalPlan from datafusion we replace TableScans with NDC queries to the underlying connector. There is a rudimentary optimizer that pushes down projections to the ndc query so that we don't fetch all the columns of a collection.