Team Ai
Apppublic

Chemically-motivated/SQL_Generation

sourceHugging Facemitupdated 2y agoView on Hugging Face
1likes
example_queries.py33 linesDownload Raw Back to root
1-- Create the 'employees' table with appropriate data types2CREATE TABLE employees (3    employee_id INT PRIMARY KEY,4    first_name VARCHAR(20),5    last_name VARCHAR(25),6    email VARCHAR(25),7    phone_number VARCHAR(20),8    hire_date DATE,9    job_id VARCHAR(10),10    salary DECIMAL(8,2),11    commission_pct DECIMAL(2,2),12    manager_id INT,13    department_id INT14);15 16-- Create the 'job_history' table with appropriate data types17CREATE TABLE job_history (18    employee_id INT,19    start_date DATE,20    end_date DATE,21    job_id VARCHAR(10),22    department_id INT,23    PRIMARY KEY (employee_id, start_date)24);25 26-- Query to find employees without any job history and count occurrences of each job_id27SELECT e.job_id, COUNT(e.job_id) AS job_count28FROM employees e29LEFT JOIN job_history jh ON e.employee_id = jh.employee_id30WHERE jh.job_id IS NULL31GROUP BY e.job_id32ORDER BY e.job_id;33