Add Support for Vector Data Type in SQL for GraphQL

[RubenCerna2079]

Why make this change?

• Solves issue Add Vector Support for GraphQL #3682

What is this change?

• In order to allow graphql to read array types that are not [string] we moved the section that parses the scalar values to types hot chocolate can use in order output them to the user. This new CoerceJsonLeafValueToRuntimeType method is then used in a loop to allow support for arrays inside the ExecutionHelper.cs file.
• In multiple places throughout the code, DAB looks at the SyntaxKind of the values it is working with in order to know if the value can be directly used or if it has a relationship with another entity. In order to allow graphql to write to the data base, we now add a new function TryGetUnderlyingFieldKind in ISqlMetadataProvider.cs that checks if the value is a list and it comes from a row that has the IsArrayType. If that condition is met, then it means the list value we have should be processed as a regular ScalarType and not as a List/Object that is a relationship to a different entity. This method is used in the following files: MultipleMutationInputValidator.cs, MultipleCreateOrderHelper.cs, SqlMutationEnginge.cs.
• Lastly, as part to allow graphql to write to the data base, we add a new GetStringifiedValue function that checks if the value that we are going to parse to the data base is a list or a regular value and transforms it into a string accordingly. Since we set all values as strings, this is something that cannot be directly done with a list as the .ToString() function will return a useless value. This value is then parsed before being used as a parameter in the data base query.

How was this tested?

• Integration Tests
• Unit Tests
  Added tests that query (read) from the data base as well as mutation (change) to the data base such as create, update, and delete.

Sample Request(s)

Query

query {
  dbo_normalvectors {
    items {
      Embedding
      ProductID
    }
  }
}

Create

mutation {
  createdbo_normalvector(
    item: { ProductID: 10000, Embedding: [125, 1.22222, 0.75] }
  ) {
    ProductID
    Embedding
  }
}

Update

mutation {
  updatedbo_normalvector(
    ProductID: 10000,
    item: { Embedding: [0.532, 200, 100.152] }
  ) {
    ProductID
    Embedding
  }
}

Delete

mutation {
  deletedbo_normalvector(
    ProductID: 10000
  ) {
    ProductID
    Embedding
  }
}