Add support for MariaDB Vector data type

Describe the use case

MariaDB has introduced a new Vector data type in version 11.7. Details can be found here:
https://mariadb.org/projects/mariadb-vector/

The main issue I'm running into now is that reflection fails when reflecting on any table that has a vector column. The reflection fails to retrieve the columns as it sees the vector column and defaults it to NullType which eventually results in an exception.

Databases / Backends / Drivers targeted

mariadb
pymysql

Example Use

Creating a table with a vector column and index:

CREATE TABLE products (
    name varchar(128),
    description varchar(2000),
    embedding VECTOR(4) NOT NULL,  # Make sure the dimensions match your AI model's output
    VECTOR INDEX (embedding) M=6 DISTANCE=euclidean)
ENGINE=InnoDB;

The column should be queried using the built in vector search functions VEC_DISTANCE_EUCLIDEAN or VEC_DISTANCE_COSINE:

SELECT p.name, p.description
FROM products AS p
ORDER BY VEC_DISTANCE_EUCLIDEAN(p.embedding,
                      VEC_FromText('[0.3, 0,5, 0.1, 0.3]'))
LIMIT 10

Additional context

No response

No source file or test is named in the issue. Start by tracing MariaDB/PyMySQL column reflection for a VECTOR column and consult the MariaDB 11.7 vector documentation. Done means reflection succeeds for tables containing VECTOR columns and the reported type is no longer NullType, with coverage for the example schema.