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manufacturer | SELECT t1.manufacturer_id , t1.num_of_shops FROM manufacturer AS t1 JOIN furniture_manufacte AS t2 ON t1.manufacturer_id = t2.manufacturer_id ORDER BY t2.Price_in_Dollar DESC LIMIT 1 | Find the id and number of shops for the company that produces the most expensive furniture. | [Schema (values) (types)]: | manufacturer | manufacturer : manufacturer_id (text) , open_year (number) , name (number) , num_of_factories (text) , num_of_shops (number) | furniture : furniture_id (text) , name (number) , num_of_component (number) , market_rate (text) | furniture_manufacte : manufacturer_id (text) , furniture_id (number) , price_in_dollar (number); | [Primary Keys]: manufacturer : manufacturer_id, furniture : furniture_id, furniture_manufacte : manufacturer_id | [Foreign Keys]: furniture_manufacte : furniture_id = furniture : furniture_id | furniture_manufacte : manufacturer_id = manufacturer : manufacturer_id |
manufacturer | SELECT count(*) , t1.name FROM manufacturer AS t1 JOIN furniture_manufacte AS t2 ON t1.manufacturer_id = t2.manufacturer_id GROUP BY t1.manufacturer_id | Find the number of funiture types produced by each manufacturer as well as the company names. | [Schema (values) (types)]: | manufacturer | manufacturer : manufacturer_id (text) , open_year (number) , name (number) , num_of_factories (text) , num_of_shops (number) | furniture : furniture_id (text) , name (number) , num_of_component (number) , market_rate (text) | furniture_manufacte : manufacturer_id (text) , furniture_id (number) , price_in_dollar (number); | [Primary Keys]: manufacturer : manufacturer_id, furniture : furniture_id, furniture_manufacte : manufacturer_id | [Foreign Keys]: furniture_manufacte : furniture_id = furniture : furniture_id | furniture_manufacte : manufacturer_id = manufacturer : manufacturer_id |
manufacturer | SELECT t1.name , t2.price_in_dollar FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID | Give me the names and prices of furnitures which some companies are manufacturing. | [Schema (values) (types)]: | manufacturer | manufacturer : manufacturer_id (text) , open_year (number) , name (number) , num_of_factories (text) , num_of_shops (number) | furniture : furniture_id (text) , name (number) , num_of_component (number) , market_rate (text) | furniture_manufacte : manufacturer_id (text) , furniture_id (number) , price_in_dollar (number); | [Primary Keys]: manufacturer : manufacturer_id, furniture : furniture_id, furniture_manufacte : manufacturer_id | [Foreign Keys]: furniture_manufacte : furniture_id = furniture : furniture_id | furniture_manufacte : manufacturer_id = manufacturer : manufacturer_id |
manufacturer | SELECT Market_Rate , name FROM furniture WHERE Furniture_ID NOT IN (SELECT Furniture_ID FROM furniture_manufacte) | Find the market shares and names of furnitures which no any company is producing in our records. | [Schema (values) (types)]: | manufacturer | manufacturer : manufacturer_id (text) , open_year (number) , name (number) , num_of_factories (text) , num_of_shops (number) | furniture : furniture_id (text) , name (number) , num_of_component (number) , market_rate (text) | furniture_manufacte : manufacturer_id (text) , furniture_id (number) , price_in_dollar (number); | [Primary Keys]: manufacturer : manufacturer_id, furniture : furniture_id, furniture_manufacte : manufacturer_id | [Foreign Keys]: furniture_manufacte : furniture_id = furniture : furniture_id | furniture_manufacte : manufacturer_id = manufacturer : manufacturer_id |
manufacturer | SELECT t3.name FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID JOIN manufacturer AS t3 ON t2.manufacturer_id = t3.manufacturer_id WHERE t1.num_of_component < 6 INTERSECT SELECT t3.name FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID JOIN manufacturer AS t3 ON t2.manufacturer_id = t3.manufacturer_id WHERE t1.num_of_component > 10 | Find the name of the company that produces both furnitures with less than 6 components and furnitures with more than 10 components. | [Schema (values) (types)]: | manufacturer | manufacturer : manufacturer_id (text) , open_year (number) , name (number) , num_of_factories (text) , num_of_shops (number) | furniture : furniture_id (text) , name (number) , num_of_component (number) , market_rate (text) | furniture_manufacte : manufacturer_id (text) , furniture_id (number) , price_in_dollar (number); | [Primary Keys]: manufacturer : manufacturer_id, furniture : furniture_id, furniture_manufacte : manufacturer_id | [Foreign Keys]: furniture_manufacte : furniture_id = furniture : furniture_id | furniture_manufacte : manufacturer_id = manufacturer : manufacturer_id |
hr_1 | SELECT T1.first_name , T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id | Display the first name and department name for each employee. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.first_name , T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id | What are the first name and department name of all employees? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary FROM employees WHERE salary < 6000 | List the full name (first and last name), and salary for those employees who earn below 6000. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary FROM employees WHERE salary < 6000 | What are the full names and salaries for any employees earning less than 6000? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , department_id FROM employees WHERE last_name = 'McEwen' | Display the first name, and department number for all employees whose last name is "McEwen". | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , department_id FROM employees WHERE last_name = 'McEwen' | What are the first names and department numbers for employees with last name McEwen? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE department_id = "null" | Return all the information for all employees without any department number. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE department_id = "null" | What are all the employees without a department number? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM departments WHERE department_name = 'Marketing' | Display all the information about the department Marketing. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM departments WHERE department_name = 'Marketing' | What is all the information about the Marketing department? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT hire_date FROM employees WHERE first_name NOT LIKE '%M%' | when is the hire date for those employees whose first name does not containing the letter M? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT hire_date FROM employees WHERE first_name NOT LIKE '%M%' | On what dates were employees without the letter M in their first names hired? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%' | display the full name (first and last), hire date, salary, and department number for those employees whose first name does not containing the letter M. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%' | What are the full name, hire date, salary, and department id for employees without the letter M in their first name? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id | display the full name (first and last), hire date, salary, and department number for those employees whose first name does not containing the letter M and make the result set in ascending order by department number. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id | What are the full name, hire data, salary and department id for employees without the letter M in their first name, ordered by ascending department id? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000 | what is the phone number of employees whose salary is in the range of 8000 and 12000? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000 | Return the phone numbers of employees with salaries between 8000 and 12000. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR department_id != 40 | display all the information of employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR department_id != 40 | Return all information about employees with salaries between 8000 and 12000 for which commission is not null or where their department id is not 40. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary FROM employees WHERE commission_pct = "null" | What are the full name (first and last name) and salary for all employees who does not have any value for commission? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary FROM employees WHERE commission_pct = "null" | Return the full names and salaries of employees with null commissions. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary FROM employees WHERE first_name LIKE '%m' | Display the first and last name, and salary for those employees whose first name is ending with the letter m. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , salary FROM employees WHERE first_name LIKE '%m' | Return the full names and salaries for employees with first names that end with the letter m. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_id , hire_date FROM employees WHERE hire_date BETWEEN '2007-11-05' AND '2009-07-05' | Find job id and date of hire for those employees who was hired between November 5th, 2007 and July 5th, 2009. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_id , hire_date FROM employees WHERE hire_date BETWEEN '2007-11-05' AND '2009-07-05' | What are the job ids and dates of hire for employees hired after November 5th, 2007 and before July 5th, 2009? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name FROM employees WHERE department_id = 70 OR department_id = 90 | What are the first and last name for those employees who works either in department 70 or 90? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name FROM employees WHERE department_id = 70 OR department_id = 90 | What are the full names of employees who with in department 70 or 90? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT salary , manager_id FROM employees WHERE manager_id != "null" | Find the salary and manager number for those employees who is working under a manager. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT salary , manager_id FROM employees WHERE manager_id != "null" | What are the salaries and manager ids for employees who have managers? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE hire_date < '2002-06-21' | display all the details from Employees table for those employees who was hired before 2002-06-21. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE hire_date < '2002-06-21' | What is all the information about employees hired before June 21, 2002? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE first_name LIKE '%D%' OR first_name LIKE '%S%' ORDER BY salary DESC | display all the information for all employees who have the letters D or S in their first name and also arrange the result in descending order by salary. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE first_name LIKE '%D%' OR first_name LIKE '%S%' ORDER BY salary DESC | What is all the information about employees with D or S in their first name, ordered by salary descending? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE hire_date > '1987-09-07' | display those employees who joined after 7th September, 1987. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE hire_date > '1987-09-07' | Which employees were hired after September 7th, 1987? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_title FROM jobs WHERE min_salary > 9000 | display the job title of jobs which minimum salary is greater than 9000. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_title FROM jobs WHERE min_salary > 9000 | Which job titles correspond to jobs with salaries over 9000? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_title , max_salary - min_salary FROM jobs WHERE max_salary BETWEEN 12000 AND 18000 | display job Title, the difference between minimum and maximum salaries for those jobs which max salary within the range 12000 to 18000. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_title , max_salary - min_salary FROM jobs WHERE max_salary BETWEEN 12000 AND 18000 | What are the job titles, and range of salaries for jobs with maximum salary between 12000 and 18000? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT email FROM employees WHERE commission_pct = "null" AND salary BETWEEN 7000 AND 12000 AND department_id = 50 | display the emails of the employees who have no commission percentage and salary within the range 7000 to 12000 and works in that department which number is 50. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT email FROM employees WHERE commission_pct = "null" AND salary BETWEEN 7000 AND 12000 AND department_id = 50 | What are the emails of employees with null commission, salary between 7000 and 12000, and who work in department 50? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , MAX(end_date) FROM job_history GROUP BY employee_id | display the employee ID for each employee and the date on which he ended his previous job. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , MAX(end_date) FROM job_history GROUP BY employee_id | What are the employee ids for each employee and final dates of employment at their last job? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT department_id FROM employees GROUP BY department_id HAVING COUNT(commission_pct) > 10 | display those departments where more than ten employees work who got a commission percentage. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT department_id FROM employees GROUP BY department_id HAVING COUNT(commission_pct) > 10 | What are the department ids for which more than 10 employees had a commission? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4 | Find the ids of the departments where any manager is managing 4 or more employees. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4 | What are department ids for departments with managers managing more than 3 employees? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT department_id , AVG(salary) FROM employees WHERE commission_pct != "null" GROUP BY department_id | display the average salary of employees for each department who gets a commission percentage. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT department_id , AVG(salary) FROM employees WHERE commission_pct != "null" GROUP BY department_id | What is the average salary of employees who have a commission percentage that is not null? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT country_id , COUNT(*) FROM locations GROUP BY country_id | display the country ID and number of cities for each country. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT country_id , COUNT(*) FROM locations GROUP BY country_id | Give the country id and corresponding count of cities in each country. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_id FROM job_history WHERE end_date - start_date > 300 GROUP BY job_id HAVING COUNT(*) >= 2 | display job ID for those jobs that were done by two or more for more than 300 days. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_id FROM job_history WHERE end_date - start_date > 300 GROUP BY job_id HAVING COUNT(*) >= 2 | What are the job ids for jobs done more than once for a period of more than 300 days? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2 | display the ID for those employees who did two or more jobs in the past. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2 | What are the employee ids for employees who have held two or more jobs? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id | Find employee with ID and name of the country presently where (s)he is working. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id | What are all the employee ids and the names of the countries in which they work? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T2.department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name | display the department name and number of employees in each of the department. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T2.department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name | Give the name of each department and the number of employees in each. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM job_history AS T1 JOIN employees AS T2 ON T1.employee_id = T2.employee_id WHERE T2.salary >= 12000 | Can you return all detailed info of jobs which was done by any of the employees who is presently earning a salary on and above 12000? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM job_history AS T1 JOIN employees AS T2 ON T1.employee_id = T2.employee_id WHERE T2.salary >= 12000 | What is all the job history info done by employees earning a salary greater than or equal to 12000? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_title , AVG(salary) FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id GROUP BY T2.job_title | display job title and average salary of employees. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_title , AVG(salary) FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id GROUP BY T2.job_title | What is the average salary for each job title? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name FROM employees WHERE salary > (SELECT salary FROM employees WHERE employee_id = 163 ) | What is the full name ( first name and last name ) for those employees who gets more salary than the employee whose id is 163? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name FROM employees WHERE salary > (SELECT salary FROM employees WHERE employee_id = 163 ) | Provide the full names of employees earning more than the employee with id 163. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT MIN(salary) , department_id FROM employees GROUP BY department_id | return the smallest salary for every departments. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT MIN(salary) , department_id FROM employees GROUP BY department_id | What is the minimum salary in each department? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , department_id FROM employees WHERE salary IN (SELECT MIN(salary) FROM employees GROUP BY department_id) | Find the first name and last name and department id for those employees who earn such amount of salary which is the smallest salary of any of the departments. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , department_id FROM employees WHERE salary IN (SELECT MIN(salary) FROM employees GROUP BY department_id) | What are the full names and department ids for the lowest paid employees across all departments. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id FROM employees WHERE salary > (SELECT AVG(salary) FROM employees) | Find the employee id for all employees who earn more than the average salary. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id FROM employees WHERE salary > (SELECT AVG(salary) FROM employees) | What are the employee ids for employees who make more than the average? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , salary FROM employees WHERE manager_id = (SELECT employee_id FROM employees WHERE first_name = 'Payam' ) | display the employee id and salary of all employees who report to Payam (first name). | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id , salary FROM employees WHERE manager_id = (SELECT employee_id FROM employees WHERE first_name = 'Payam' ) | What are the employee ids of employees who report to Payam, and what are their salaries? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id | find the name of all departments that do actually have one or more employees assigned to them. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id | What are the names of departments that have at least one employee. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT DISTINCT * FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T1.employee_id = T2.manager_id | get the details of employees who manage a department. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT DISTINCT * FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T1.employee_id = T2.manager_id | What is all the information regarding employees who are managers? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM departments WHERE department_name = 'Marketing' | display all the information about the department Marketing. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM departments WHERE department_name = 'Marketing' | What is all the information about the Marketing department? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2 | display the ID for those employees who did two or more jobs in the past. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2 | What are the employee ids for those who had two or more jobs. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4 | What are the unique ids of those departments where any manager is managing 4 or more employees. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4 | Give the distinct department ids of departments in which a manager is in charge of 4 or more employees? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_id FROM employees GROUP BY job_id HAVING AVG(salary) > 8000 | Find the job ID for those jobs which average salary is above 8000. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT job_id FROM employees GROUP BY job_id HAVING AVG(salary) > 8000 | What are the job ids corresponding to jobs with average salary above 8000? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.employee_id , T2.job_title FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.department_id = 80 | display the employee ID and job name for all those jobs in department 80. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.employee_id , T2.job_title FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.department_id = 80 | what are the employee ids and job titles for employees in department 80? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.first_name , T1.job_id FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Finance' | What is the first name and job id for all employees in the Finance department? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT T1.first_name , T1.job_id FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Finance' | Give the first name and job id for all employees in the Finance department. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE salary BETWEEN (SELECT MIN(salary) FROM employees) AND 2500 | display all the information of the employees whose salary if within the range of smallest salary and 2500. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE salary BETWEEN (SELECT MIN(salary) FROM employees) AND 2500 | What is all the information regarding employees with salaries above the minimum and under 2500? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE department_id NOT IN (SELECT department_id FROM departments WHERE manager_id BETWEEN 100 AND 200) | Find the ids of the employees who does not work in those departments where some employees works whose manager id within the range 100 and 200. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT * FROM employees WHERE department_id NOT IN (SELECT department_id FROM departments WHERE manager_id BETWEEN 100 AND 200) | What are the ids for employees who do not work in departments with managers that have ids between 100 and 200? | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
hr_1 | SELECT first_name , last_name , hire_date FROM employees WHERE department_id = (SELECT department_id FROM employees WHERE first_name = "Clara") | display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara. | [Schema (values) (types)]: | hr_1 | regions : region_id (text) , region_name (number) | countries : country_id (text) , country_name (number) , region_id (text) | departments : department_id (text) , department_name (number) , manager_id (text) , location_id (text) | jobs : job_id (text) , job_title (number) , min_salary (text) , max_salary (text) | employees : employee_id (text) , first_name (number) , last_name (text) , email (text) , phone_number (text) , hire_date (number) , job_id (number) , salary (text) , commission_pct (number) , manager_id (number) , department_id (text) | job_history : employee_id (text) , start_date (number) , end_date (text) , job_id (text) , department_id (text) | locations : location_id (text) , street_address (number) , postal_code (text) , city (text) , state_province (text) , country_id (number); | [Primary Keys]: regions : region_id, countries : country_id, departments : department_id, jobs : job_id, employees : employee_id, job_history : employee_id, locations : location_id | [Foreign Keys]: countries : region_id = regions : region_id | employees : job_id = jobs : job_id | employees : department_id = departments : department_id | job_history : job_id = jobs : job_id | job_history : department_id = departments : department_id | job_history : employee_id = employees : employee_id | locations : country_id = countries : country_id |
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