output
stringlengths
18
577
instruction
stringlengths
16
224
input
stringclasses
160 values
SELECT first_name , last_name , hire_date FROM employees WHERE department_id = (SELECT department_id FROM employees WHERE first_name = "Clara")
What are the full names and hire dates for employees in the same department as someone with the first name Clara?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT first_name , last_name , hire_date FROM employees WHERE department_id = ( SELECT department_id FROM employees WHERE first_name = "Clara") AND first_name != "Clara"
display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara excluding Clara.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT first_name , last_name , hire_date FROM employees WHERE department_id = ( SELECT department_id FROM employees WHERE first_name = "Clara") AND first_name != "Clara"
What are the full names and hire dates for employees in the same department as someone with the first name Clara, not including Clara?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT employee_id , first_name , last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' )
display the employee number and name( first name and last name ) for all employees who work in a department with any employee whose name contains a ’T’.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT employee_id , first_name , last_name FROM employees WHERE department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%T%' )
What are the ids and full names for employees who work in a department that has someone with a first name that contains the letter T?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT employee_id , first_name , last_name , salary FROM employees WHERE salary > ( SELECT AVG (salary) FROM employees ) AND department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%J%')
display the employee number, name( first name and last name ), and salary for all employees who earn more than the average salary and who work in a department with any employee with a 'J' in their first name.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT employee_id , first_name , last_name , salary FROM employees WHERE salary > ( SELECT AVG (salary) FROM employees ) AND department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%J%')
What are the ids, full names, and salaries for employees making more than average and who work in a department with employees who have the letter J in their first name?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT employee_id , job_id FROM employees WHERE salary < ( SELECT min(salary) FROM employees WHERE job_id = 'MK_MAN' )
display the employee number and job id for all employees whose salary is smaller than any salary of those employees whose job title is MK_MAN.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT employee_id , job_id FROM employees WHERE salary < ( SELECT min(salary) FROM employees WHERE job_id = 'MK_MAN' )
What are the employee ids and job ids for employees who make less than the lowest earning employee with title MK_MAN?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT employee_id , first_name , last_name , job_id FROM employees WHERE salary > ( SELECT max(salary) FROM employees WHERE job_id = 'PU_MAN' )
display the employee number, name( first name and last name ) and job title for all employees whose salary is more than any salary of those employees whose job title is PU_MAN.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT employee_id , first_name , last_name , job_id FROM employees WHERE salary > ( SELECT max(salary) FROM employees WHERE job_id = 'PU_MAN' )
What are the employee ids, full names, and job ids for employees who make more than the highest earning employee with title PU_MAN?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT department_id , SUM(salary) FROM employees GROUP BY department_id HAVING count(*) >= 2
display the department id and the total salary for those departments which contains at least two employees.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT department_id , SUM(salary) FROM employees GROUP BY department_id HAVING count(*) >= 2
What are total salaries and department id for each department that has more than 2 employees?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT * FROM employees WHERE employee_id NOT IN (SELECT employee_id FROM job_history)
display all the information of those employees who did not have any job in the past.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT * FROM employees WHERE employee_id NOT IN (SELECT employee_id FROM job_history)
What is all the information about employees who have never had a job in the past?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT first_name , last_name , salary , department_id , MAX(salary) FROM employees GROUP BY department_id
display the department ID, full name (first and last name), salary for those employees who is highest salary in every department.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT first_name , last_name , salary , department_id , MAX(salary) FROM employees GROUP BY department_id
What are the department ids, full names, and salaries for employees who make the most in their departments?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT T1.first_name , T1.last_name , T2.department_name , T3.city , T3.state_province 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
display the first and last name, department, city, and state province for each employee.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT T1.first_name , T1.last_name , T2.department_name , T3.city , T3.state_province 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
What are the full names, departments, cities, and state provinces for each employee?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT T1.first_name , T1.last_name , T3.city 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 WHERE T1.first_name LIKE '%z%'
display those employees who contain a letter z to their first name and also display their last name, city.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT T1.first_name , T1.last_name , T3.city 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 WHERE T1.first_name LIKE '%z%'
What are the full names and cities of employees who have the letter Z in their first names?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT T1.department_name , T2.city , T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id
display the department name, city, and state province for each department.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT T1.department_name , T2.city , T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id
What are the department names, cities, and state provinces for each department?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT T1.first_name , T1.last_name , 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
display the full name (first and last name ) of employee with ID and name of the country presently where (s)he is working.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT T1.first_name , T1.last_name , T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id
What the full names, ids of each employee and the name of the country they are in?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY department_name
display the department name and number of employees in each of the department.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY department_name
What are the department names and how many employees work in each of them?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT first_name , last_name , salary 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 WHERE T3.city = 'London'
display the full name (first and last name), and salary of those employees who working in any department located in London.
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT first_name , last_name , salary 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 WHERE T3.city = 'London'
What are full names and salaries of employees working in the city of London?
"Schema (values (type))": regions : REGION_ID (number) , REGION_NAME (text) | countries : COUNTRY_ID (text) , COUNTRY_NAME (text) , REGION_ID (number) | departments : DEPARTMENT_ID (number) , DEPARTMENT_NAME (text) , MANAGER_ID (number) , LOCATION_ID (number) | jobs : JOB_ID (text) , JOB_TITLE (text) , MIN_SALARY (number) , MAX_SALARY (number) | employees : EMPLOYEE_ID (number) , FIRST_NAME (text) , LAST_NAME (text) , EMAIL (text) , PHONE_NUMBER (text) , HIRE_DATE (time) , JOB_ID (text) , SALARY (number) , COMMISSION_PCT (number) , MANAGER_ID (number) , DEPARTMENT_ID (number) | job_history : EMPLOYEE_ID (number) , START_DATE (time) , END_DATE (time) , JOB_ID (text) , DEPARTMENT_ID (number) | locations : LOCATION_ID (number) , STREET_ADDRESS (text) , POSTAL_CODE (text) , CITY (text) , STATE_PROVINCE (text) , COUNTRY_ID (text) "Primary Keys": regions : REGION_ID | countries : COUNTRY_ID | departments : DEPARTMENT_ID | jobs : JOB_ID | employees : EMPLOYEE_ID | job_history : EMPLOYEE_ID | locations : LOCATION_ID "Foreign Keys": countries : REGION_ID equals regions : REGION_ID | employees : JOB_ID equals jobs : JOB_ID | employees : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : JOB_ID equals jobs : JOB_ID | job_history : DEPARTMENT_ID equals departments : DEPARTMENT_ID | job_history : EMPLOYEE_ID equals employees : EMPLOYEE_ID | locations : COUNTRY_ID equals countries : COUNTRY_ID
SELECT song_name , releasedate FROM song ORDER BY releasedate DESC LIMIT 1
What is the name of the song that was released in the most recent year?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT song_name , releasedate FROM song ORDER BY releasedate DESC LIMIT 1
What is the name of the song that was released most recently?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT f_id FROM files ORDER BY duration DESC LIMIT 1
What is the id of the longest song?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT f_id FROM files ORDER BY duration DESC LIMIT 1
Find the id of the song that lasts the longest.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT song_name FROM song WHERE languages = "english"
Find the names of all English songs.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT song_name FROM song WHERE languages = "english"
What are the names of all songs in English?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT f_id FROM files WHERE formats = "mp3"
What are the id of songs whose format is mp3.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT f_id FROM files WHERE formats = "mp3"
What are the id of all the files in mp3 format?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT DISTINCT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.rating > 9
List the name and country of origin for all singers who have produced songs with rating above 9.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT DISTINCT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.rating > 9
What are the different names and countries of origins for all artists whose song ratings are above 9?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT DISTINCT T1.file_size , T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.resolution < 800
List the file size and format for all songs that have resolution lower than 800.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT DISTINCT T1.file_size , T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.resolution < 800
What are the file sizes and formats for all songs with a resolution lower than 800?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.artist_name FROM song AS T1 JOIN files AS T2 ON T1.f_id = T2.f_id ORDER BY T2.duration LIMIT 1
What is the name of the artist who produced the shortest song?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.artist_name FROM song AS T1 JOIN files AS T2 ON T1.f_id = T2.f_id ORDER BY T2.duration LIMIT 1
What are the names of the artists who sang the shortest song?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.rating DESC LIMIT 3
What are the names and countries of origin for the artists who produced the top three highly rated songs.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.rating DESC LIMIT 3
What are the names of the singers who sang the top 3 most highly rated songs and what countries do they hail from?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT count(*) FROM files WHERE duration LIKE "4:%"
How many songs have 4 minute duration?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT count(*) FROM files WHERE duration LIKE "4:%"
What is the count of the songs that last approximately 4 minutes?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT count(*) FROM artist WHERE country = "Bangladesh"
How many artists are from Bangladesh?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT count(*) FROM artist WHERE country = "Bangladesh"
How many Bangladeshi artists are listed?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT avg(T2.rating) FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female"
What is the average rating of songs produced by female artists?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT avg(T2.rating) FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female"
How many songs, on average, are sung by a female artist?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT formats FROM files GROUP BY formats ORDER BY COUNT (*) DESC LIMIT 1
What is the most popular file format?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT formats FROM files GROUP BY formats ORDER BY COUNT (*) DESC LIMIT 1
Find the file format that is used by the most files.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT artist_name FROM song WHERE languages = "english"
Find the names of the artists who are from UK and have produced English songs.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT artist_name FROM song WHERE languages = "english"
What are the names of the artists that are from the UK and sang songs in English?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT f_id FROM files WHERE formats = "mp4" INTERSECT SELECT f_id FROM song WHERE resolution < 1000
Find the id of songs that are available in mp4 format and have resolution lower than 1000.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT f_id FROM files WHERE formats = "mp4" INTERSECT SELECT f_id FROM song WHERE resolution < 1000
What is the id of the files that are available in the format of mp4 and a resolution smaller than 1000?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla"
What is the country of origin of the artist who is female and produced a song in Bangla?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla"
What countries are the female artists who sung in the language Bangla from?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT avg(T1.duration) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" AND T2.resolution < 800
What is the average duration of songs that have mp3 format and resolution below 800?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT avg(T1.duration) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" AND T2.resolution < 800
What is the average song duration for the songs that are in mp3 format and whose resolution below 800?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT count(*) , gender FROM artist GROUP BY gender
What is the number of artists for each gender?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT count(*) , gender FROM artist GROUP BY gender
How many artists are male and how many are female?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT avg(rating) , languages FROM song GROUP BY languages
What is the average rating of songs for each language?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT avg(rating) , languages FROM song GROUP BY languages
What is the average song rating for each language?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.gender , T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.resolution LIMIT 1
Return the gender and name of artist who produced the song with the lowest resolution.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.gender , T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name ORDER BY T2.resolution LIMIT 1
What is the gender and name of the artist who sang the song with the smallest resolution?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT count(*) , formats FROM files GROUP BY formats
For each file format, return the number of artists who released songs in that format.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT count(*) , formats FROM files GROUP BY formats
How many songs were released for each format?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT DISTINCT song_name FROM song WHERE resolution > (SELECT min(resolution) FROM song WHERE languages = "english")
Find the distinct names of all songs that have a higher resolution than some songs in English.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT DISTINCT song_name FROM song WHERE resolution > (SELECT min(resolution) FROM song WHERE languages = "english")
What are the different names for all songs that have a higher resolution than English songs?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT song_name FROM song WHERE rating < (SELECT max(rating) FROM song WHERE genre_is = "blues")
What are the names of all songs that have a lower rating than some song of blues genre?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT song_name FROM song WHERE rating < (SELECT max(rating) FROM song WHERE genre_is = "blues")
What are the names of the songs that have a lower rating than at least one blues song?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.song_name LIKE "%love%"
What is the name and country of origin of the artist who released a song that has "love" in its title?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.song_name LIKE "%love%"
What are the names of the artists who released a song that has the word love in its title, and where are the artists from?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.artist_name , T1.gender FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.releasedate LIKE "%Mar%"
List the name and gender for all artists who released songs in March.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T1.artist_name , T1.gender FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.releasedate LIKE "%Mar%"
What are the names and genders of all artists who released songs in the month of March?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT g_name , rating FROM genre ORDER BY g_name
List the names of all genres in alphabetical oder, together with its ratings.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT g_name , rating FROM genre ORDER BY g_name
What are the names of all genres in alphabetical order, combined with its ratings?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT song_name FROM song ORDER BY resolution
Give me a list of the names of all songs ordered by their resolution.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT song_name FROM song ORDER BY resolution
What are the names of all songs that are ordered by their resolution numbers?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT f_id FROM files WHERE formats = "mp4" UNION SELECT f_id FROM song WHERE resolution > 720
What are the ids of songs that are available in either mp4 format or have resolution above 720?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT f_id FROM files WHERE formats = "mp4" UNION SELECT f_id FROM song WHERE resolution > 720
What are the ids of all songs that are available on mp4 or have a higher resolution than 720?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "4:%" UNION SELECT song_name FROM song WHERE languages = "english"
List the names of all songs that have 4 minute duration or are in English.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "4:%" UNION SELECT song_name FROM song WHERE languages = "english"
What are the names of all songs that are approximately 4 minutes long or are in English?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT languages FROM song GROUP BY languages ORDER BY count(*) DESC LIMIT 1
What is the language used most often in the songs?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT languages FROM song GROUP BY languages ORDER BY count(*) DESC LIMIT 1
What are the languages that are used most often in songs?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT artist_name FROM song WHERE resolution > 500 GROUP BY languages ORDER BY count(*) DESC LIMIT 1
What is the language that was used most often in songs with resolution above 500?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT artist_name FROM song WHERE resolution > 500 GROUP BY languages ORDER BY count(*) DESC LIMIT 1
What is the name of the artist, for each language, that has the most songs with a higher resolution than 500?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT artist_name FROM artist WHERE country = "UK" AND gender = "Male"
What are the names of artists who are Male and are from UK?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT artist_name FROM artist WHERE country = "UK" AND gender = "Male"
What are the names of all male British artists?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT song_name FROM song WHERE genre_is = "modern" OR languages = "english"
Find the names of songs whose genre is modern or language is English.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT song_name FROM song WHERE genre_is = "modern" OR languages = "english"
What are the names of the songs that are modern or sung in English?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" INTERSECT SELECT song_name FROM song WHERE resolution < 1000
Return the names of songs for which format is mp3 and resolution is below 1000.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT T2.song_name FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" INTERSECT SELECT song_name FROM song WHERE resolution < 1000
What are the names of all songs that are in mp3 format and have a resolution lower than 1000?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "english"
Return the names of singers who are from UK and released an English song.
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "english"
What are the names of all singers that are from the UK and released a song in English?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT avg(rating) , avg(resolution) FROM song WHERE languages = "bangla"
What are the average rating and resolution of songs that are in Bangla?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT avg(rating) , avg(resolution) FROM song WHERE languages = "bangla"
What is the average rating and resolution of all bangla songs?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name
SELECT max(T2.resolution) , min(T2.resolution) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "3:%"
What are the maximum and minimum resolution of songs whose duration is 3 minutes?
"Schema (values (type))": genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number) "Primary Keys": genre : g_name | artist : artist_name | files : f_id | song : song_name "Foreign Keys": artist : preferred_genre equals genre : g_name | files : artist_name equals artist : artist_name | song : genre_is equals genre : g_name | song : f_id equals files : f_id | song : artist_name equals artist : artist_name