SQL

Natural language to SQL query generation evaluates text-to-query fidelity and schema reasoning. This task is particularly relevant for analytics chat assistants and simplified database interfaces where users need to query data using natural language. Models must understand both the intent behind the question and the structure of the underlying database schema.

Duration

Input Tokens

1029

Output Tokens

378

Cost

$0.00

Context

Input

Add a foreign key from completions to enrollments, linking through user_id and course_id to ensure data consistency.

Expected output

ALTER TABLE completions ADD COLUMN course_id INT, ADD CONSTRAINT fk_completions_user_course FOREIGN KEY (user_id, course_id) REFERENCES enrollments(user_id, course_id);

Model output

-- First, add a course_id column to completions (derived from lesson_id)
ALTER TABLE completions ADD COLUMN course_id INT;

-- Populate the course_id column based on lesson_id
UPDATE completions c
SET course_id = l.course_id
FROM lessons l
WHERE c.lesson_id = l.lesson_id;

-- Add the foreign key constraint to enforce referential integrity
ALTER TABLE completions
ADD CONSTRAINT fk_completions_enrollments
FOREIGN KEY (user_id, course_id)
REFERENCES enrollments(user_id, course_id)
ON DELETE CASCADE;