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-- Database schema
| manufacturer : Manufacturer_ID [ INT ] primary_key , Open_Year [ INT ] , Name [ TEXT ] , Num_of_Factories [ INT ] , Num_of_Shops [ INT ] | furniture : Furniture_ID [ INT ] primary_key , Name [ TEXT ] , Num_of_Component [ INT ] , Market_Rate [ INT ] | furniture_manufacte : Manufacturer_ID [ INT ] primary_key furniture_manufacte.Manufacturer_ID = manufacturer.Manufacturer_ID , Furniture_ID [ INT ] furniture_manufacte.Furniture_ID = furniture.Furniture_ID , Price_in_Dollar [ INT ] |
-- -- Find the id and number of shops for the company that produces the most expensive furniture.
| 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; |
-- Database schema
| manufacturer : Manufacturer_ID [ INT ] primary_key , Open_Year [ INT ] , Name [ TEXT ] , Num_of_Factories [ INT ] , Num_of_Shops [ INT ] | furniture : Furniture_ID [ INT ] primary_key , Name [ TEXT ] , Num_of_Component [ INT ] , Market_Rate [ INT ] | furniture_manufacte : Manufacturer_ID [ INT ] primary_key furniture_manufacte.Manufacturer_ID = manufacturer.Manufacturer_ID , Furniture_ID [ INT ] furniture_manufacte.Furniture_ID = furniture.Furniture_ID , Price_in_Dollar [ INT ] |
-- -- Find the number of funiture types produced by each manufacturer as well as the company names.
| 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; |
-- Database schema
| manufacturer : Manufacturer_ID [ INT ] primary_key , Open_Year [ INT ] , Name [ TEXT ] , Num_of_Factories [ INT ] , Num_of_Shops [ INT ] | furniture : Furniture_ID [ INT ] primary_key , Name [ TEXT ] , Num_of_Component [ INT ] , Market_Rate [ INT ] | furniture_manufacte : Manufacturer_ID [ INT ] primary_key furniture_manufacte.Manufacturer_ID = manufacturer.Manufacturer_ID , Furniture_ID [ INT ] furniture_manufacte.Furniture_ID = furniture.Furniture_ID , Price_in_Dollar [ INT ] |
-- -- Give me the names and prices of furnitures which some companies are manufacturing.
| SELECT t1.name , t2.price_in_dollar FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID; |
-- Database schema
| manufacturer : Manufacturer_ID [ INT ] primary_key , Open_Year [ INT ] , Name [ TEXT ] , Num_of_Factories [ INT ] , Num_of_Shops [ INT ] | furniture : Furniture_ID [ INT ] primary_key , Name [ TEXT ] , Num_of_Component [ INT ] , Market_Rate [ INT ] | furniture_manufacte : Manufacturer_ID [ INT ] primary_key furniture_manufacte.Manufacturer_ID = manufacturer.Manufacturer_ID , Furniture_ID [ INT ] furniture_manufacte.Furniture_ID = furniture.Furniture_ID , Price_in_Dollar [ INT ] |
-- -- Find the market shares and names of furnitures which no any company is producing in our records.
| SELECT Market_Rate , name FROM furniture WHERE Furniture_ID NOT IN (SELECT Furniture_ID FROM furniture_manufacte); |
-- Database schema
| manufacturer : Manufacturer_ID [ INT ] primary_key , Open_Year [ INT ] , Name [ TEXT ] , Num_of_Factories [ INT ] , Num_of_Shops [ INT ] | furniture : Furniture_ID [ INT ] primary_key , Name [ TEXT ] , Num_of_Component [ INT ] , Market_Rate [ INT ] | furniture_manufacte : Manufacturer_ID [ INT ] primary_key furniture_manufacte.Manufacturer_ID = manufacturer.Manufacturer_ID , Furniture_ID [ INT ] furniture_manufacte.Furniture_ID = furniture.Furniture_ID , Price_in_Dollar [ INT ] |
-- -- Find the name of the company that produces both furnitures with less than 6 components and furnitures with more than 10 components.
| 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; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Display the first name and department name for each employee.
| SELECT T1.first_name , T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the first name and department name of all employees?
| SELECT T1.first_name , T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- List the full name (first and last name), and salary for those employees who earn below 6000.
| SELECT first_name , last_name , salary FROM employees WHERE salary < 6000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the full names and salaries for any employees earning less than 6000?
| SELECT first_name , last_name , salary FROM employees WHERE salary < 6000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Display the first name, and department number for all employees whose last name is "McEwen".
| SELECT first_name , department_id FROM employees WHERE last_name = 'McEwen'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the first names and department numbers for employees with last name McEwen?
| SELECT first_name , department_id FROM employees WHERE last_name = 'McEwen'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Return all the information for all employees without any department number.
| SELECT * FROM employees WHERE department_id = "null"; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are all the employees without a department number?
| SELECT * FROM employees WHERE department_id = "null"; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Display all the information about the department Marketing.
| SELECT * FROM departments WHERE department_name = 'Marketing'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is all the information about the Marketing department?
| SELECT * FROM departments WHERE department_name = 'Marketing'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- when is the hire date for those employees whose first name does not containing the letter M?
| SELECT hire_date FROM employees WHERE first_name NOT LIKE '%M%'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- On what dates were employees without the letter M in their first names hired?
| SELECT hire_date FROM employees WHERE first_name NOT LIKE '%M%'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_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.
| SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the full name, hire date, salary, and department id for employees without the letter M in their first name?
| SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_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.
| SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_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?
| SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- what is the phone number of employees whose salary is in the range of 8000 and 12000?
| SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Return the phone numbers of employees with salaries between 8000 and 12000.
| SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- 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.
| SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR department_id != 40; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- 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.
| SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR department_id != 40; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the full name (first and last name) and salary for all employees who does not have any value for commission?
| SELECT first_name , last_name , salary FROM employees WHERE commission_pct = "null"; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Return the full names and salaries of employees with null commissions.
| SELECT first_name , last_name , salary FROM employees WHERE commission_pct = "null"; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Display the first and last name, and salary for those employees whose first name is ending with the letter m.
| SELECT first_name , last_name , salary FROM employees WHERE first_name LIKE '%m'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Return the full names and salaries for employees with first names that end with the letter m.
| SELECT first_name , last_name , salary FROM employees WHERE first_name LIKE '%m'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Find job id and date of hire for those employees who was hired between November 5th, 2007 and July 5th, 2009.
| SELECT job_id , hire_date FROM employees WHERE hire_date BETWEEN '2007-11-05' AND '2009-07-05'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the job ids and dates of hire for employees hired after November 5th, 2007 and before July 5th, 2009?
| SELECT job_id , hire_date FROM employees WHERE hire_date BETWEEN '2007-11-05' AND '2009-07-05'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the first and last name for those employees who works either in department 70 or 90?
| SELECT first_name , last_name FROM employees WHERE department_id = 70 OR department_id = 90; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the full names of employees who with in department 70 or 90?
| SELECT first_name , last_name FROM employees WHERE department_id = 70 OR department_id = 90; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Find the salary and manager number for those employees who is working under a manager.
| SELECT salary , manager_id FROM employees WHERE manager_id != "null"; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the salaries and manager ids for employees who have managers?
| SELECT salary , manager_id FROM employees WHERE manager_id != "null"; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display all the details from Employees table for those employees who was hired before 2002-06-21.
| SELECT * FROM employees WHERE hire_date < '2002-06-21'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is all the information about employees hired before June 21, 2002?
| SELECT * FROM employees WHERE hire_date < '2002-06-21'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- 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.
| SELECT * FROM employees WHERE first_name LIKE '%D%' OR first_name LIKE '%S%' ORDER BY salary DESC; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is all the information about employees with D or S in their first name, ordered by salary descending?
| SELECT * FROM employees WHERE first_name LIKE '%D%' OR first_name LIKE '%S%' ORDER BY salary DESC; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display those employees who joined after 7th September, 1987.
| SELECT * FROM employees WHERE hire_date > '1987-09-07'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Which employees were hired after September 7th, 1987?
| SELECT * FROM employees WHERE hire_date > '1987-09-07'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the job title of jobs which minimum salary is greater than 9000.
| SELECT job_title FROM jobs WHERE min_salary > 9000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Which job titles correspond to jobs with salaries over 9000?
| SELECT job_title FROM jobs WHERE min_salary > 9000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display job Title, the difference between minimum and maximum salaries for those jobs which max salary within the range 12000 to 18000.
| SELECT job_title , max_salary - min_salary FROM jobs WHERE max_salary BETWEEN 12000 AND 18000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the job titles, and range of salaries for jobs with maximum salary between 12000 and 18000?
| SELECT job_title , max_salary - min_salary FROM jobs WHERE max_salary BETWEEN 12000 AND 18000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- 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.
| SELECT email FROM employees WHERE commission_pct = "null" AND salary BETWEEN 7000 AND 12000 AND department_id = 50; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the emails of employees with null commission, salary between 7000 and 12000, and who work in department 50?
| SELECT email FROM employees WHERE commission_pct = "null" AND salary BETWEEN 7000 AND 12000 AND department_id = 50; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the employee ID for each employee and the date on which he ended his previous job.
| SELECT employee_id , MAX(end_date) FROM job_history GROUP BY employee_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the employee ids for each employee and final dates of employment at their last job?
| SELECT employee_id , MAX(end_date) FROM job_history GROUP BY employee_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display those departments where more than ten employees work who got a commission percentage.
| SELECT department_id FROM employees GROUP BY department_id HAVING COUNT(commission_pct) > 10; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the department ids for which more than 10 employees had a commission?
| SELECT department_id FROM employees GROUP BY department_id HAVING COUNT(commission_pct) > 10; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Find the ids of the departments where any manager is managing 4 or more employees.
| SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are department ids for departments with managers managing more than 3 employees?
| SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the average salary of employees for each department who gets a commission percentage.
| SELECT department_id , AVG(salary) FROM employees WHERE commission_pct != "null" GROUP BY department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is the average salary of employees who have a commission percentage that is not null?
| SELECT department_id , AVG(salary) FROM employees WHERE commission_pct != "null" GROUP BY department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the country ID and number of cities for each country.
| SELECT country_id , COUNT(*) FROM locations GROUP BY country_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Give the country id and corresponding count of cities in each country.
| SELECT country_id , COUNT(*) FROM locations GROUP BY country_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display job ID for those jobs that were done by two or more for more than 300 days.
| SELECT job_id FROM job_history WHERE end_date - start_date > 300 GROUP BY job_id HAVING COUNT(*) >= 2; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the job ids for jobs done more than once for a period of more than 300 days?
| SELECT job_id FROM job_history WHERE end_date - start_date > 300 GROUP BY job_id HAVING COUNT(*) >= 2; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the ID for those employees who did two or more jobs in the past.
| SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the employee ids for employees who have held two or more jobs?
| SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Find employee with ID and name of the country presently where (s)he is working.
| 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; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are all the employee ids and the names of the countries in which they work?
| 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; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the department name and number of employees in each of the department.
| 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; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Give the name of each department and the number of employees in each.
| 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; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- 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?
| SELECT * FROM job_history AS T1 JOIN employees AS T2 ON T1.employee_id = T2.employee_id WHERE T2.salary >= 12000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is all the job history info done by employees earning a salary greater than or equal to 12000?
| SELECT * FROM job_history AS T1 JOIN employees AS T2 ON T1.employee_id = T2.employee_id WHERE T2.salary >= 12000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display job title and average salary of employees.
| 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; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is the average salary for each job title?
| 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; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is the full name ( first name and last name ) for those employees who gets more salary than the employee whose id is 163?
| SELECT first_name , last_name FROM employees WHERE salary > (SELECT salary FROM employees WHERE employee_id = 163 ); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Provide the full names of employees earning more than the employee with id 163.
| SELECT first_name , last_name FROM employees WHERE salary > (SELECT salary FROM employees WHERE employee_id = 163 ); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- return the smallest salary for every departments.
| SELECT MIN(salary) , department_id FROM employees GROUP BY department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is the minimum salary in each department?
| SELECT MIN(salary) , department_id FROM employees GROUP BY department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_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.
| SELECT first_name , last_name , department_id FROM employees WHERE salary IN (SELECT MIN(salary) FROM employees GROUP BY department_id); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the full names and department ids for the lowest paid employees across all departments.
| SELECT first_name , last_name , department_id FROM employees WHERE salary IN (SELECT MIN(salary) FROM employees GROUP BY department_id); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Find the employee id for all employees who earn more than the average salary.
| SELECT employee_id FROM employees WHERE salary > (SELECT AVG(salary) FROM employees); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the employee ids for employees who make more than the average?
| SELECT employee_id FROM employees WHERE salary > (SELECT AVG(salary) FROM employees); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the employee id and salary of all employees who report to Payam (first name).
| SELECT employee_id , salary FROM employees WHERE manager_id = (SELECT employee_id FROM employees WHERE first_name = 'Payam' ); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the employee ids of employees who report to Payam, and what are their salaries?
| SELECT employee_id , salary FROM employees WHERE manager_id = (SELECT employee_id FROM employees WHERE first_name = 'Payam' ); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- find the name of all departments that do actually have one or more employees assigned to them.
| SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the names of departments that have at least one employee.
| SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- get the details of employees who manage a department.
| SELECT DISTINCT * FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T1.employee_id = T2.manager_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is all the information regarding employees who are managers?
| SELECT DISTINCT * FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T1.employee_id = T2.manager_id; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display all the information about the department Marketing.
| SELECT * FROM departments WHERE department_name = 'Marketing'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is all the information about the Marketing department?
| SELECT * FROM departments WHERE department_name = 'Marketing'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the ID for those employees who did two or more jobs in the past.
| SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the employee ids for those who had two or more jobs.
| SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the unique ids of those departments where any manager is managing 4 or more employees.
| SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Give the distinct department ids of departments in which a manager is in charge of 4 or more employees?
| SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Find the job ID for those jobs which average salary is above 8000.
| SELECT job_id FROM employees GROUP BY job_id HAVING AVG(salary) > 8000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the job ids corresponding to jobs with average salary above 8000?
| SELECT job_id FROM employees GROUP BY job_id HAVING AVG(salary) > 8000; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the employee ID and job name for all those jobs in department 80.
| 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; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- what are the employee ids and job titles for employees in department 80?
| 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; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is the first name and job id for all employees in the Finance department?
| 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'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- Give the first name and job id for all employees in the Finance department.
| 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'; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display all the information of the employees whose salary if within the range of smallest salary and 2500.
| SELECT * FROM employees WHERE salary BETWEEN (SELECT MIN(salary) FROM employees) AND 2500; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What is all the information regarding employees with salaries above the minimum and under 2500?
| SELECT * FROM employees WHERE salary BETWEEN (SELECT MIN(salary) FROM employees) AND 2500; |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- 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.
| SELECT * FROM employees WHERE department_id NOT IN (SELECT department_id FROM departments WHERE manager_id BETWEEN 100 AND 200); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- What are the ids for employees who do not work in departments with managers that have ids between 100 and 200?
| SELECT * FROM employees WHERE department_id NOT IN (SELECT department_id FROM departments WHERE manager_id BETWEEN 100 AND 200); |
-- Database schema
| regions : REGION_ID [ INT ] primary_key , REGION_NAME [ TEXT ] | countries : COUNTRY_ID [ TEXT ] primary_key , COUNTRY_NAME [ TEXT ] , REGION_ID [ INT ] countries.REGION_ID = regions.REGION_ID | departments : DEPARTMENT_ID [ INT ] primary_key , DEPARTMENT_NAME [ TEXT ] , MANAGER_ID [ INT ] , LOCATION_ID [ INT ] | jobs : JOB_ID [ TEXT ] primary_key , JOB_TITLE [ TEXT ] , MIN_SALARY [ INT ] , MAX_SALARY [ INT ] | employees : EMPLOYEE_ID [ INT ] primary_key , FIRST_NAME [ TEXT ] , LAST_NAME [ TEXT ] , EMAIL [ TEXT ] , PHONE_NUMBER [ TEXT ] , HIRE_DATE [ TEXT ] , JOB_ID [ TEXT ] employees.JOB_ID = jobs.JOB_ID , SALARY [ INT ] , COMMISSION_PCT [ INT ] , MANAGER_ID [ INT ] , DEPARTMENT_ID [ INT ] employees.DEPARTMENT_ID = departments.DEPARTMENT_ID | job_history : EMPLOYEE_ID [ INT ] primary_key job_history.EMPLOYEE_ID = employees.EMPLOYEE_ID , START_DATE [ TEXT ] , END_DATE [ TEXT ] , JOB_ID [ TEXT ] job_history.JOB_ID = jobs.JOB_ID , DEPARTMENT_ID [ INT ] job_history.DEPARTMENT_ID = departments.DEPARTMENT_ID | locations : LOCATION_ID [ INT ] primary_key , STREET_ADDRESS [ TEXT ] , POSTAL_CODE [ TEXT ] , CITY [ TEXT ] , STATE_PROVINCE [ TEXT ] , COUNTRY_ID [ TEXT ] locations.COUNTRY_ID = countries.COUNTRY_ID |
-- -- display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara.
| SELECT first_name , last_name , hire_date FROM employees WHERE department_id = (SELECT department_id FROM employees WHERE first_name = "Clara"); |
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