query_id
int64
0
7k
database_id
stringclasses
140 values
table_id
sequencelengths
1
5
query
stringlengths
16
224
answer
stringlengths
18
577
difficulty
stringclasses
4 values
3,400
manufacturer
[ "manufacturer", "furniture_manufacte" ]
Find the number of funiture types produced by each manufacturer as well as the company names.
SELECT count(*) , t1.name FROM manufacturer AS t1 JOIN furniture_manufacte AS t2 ON t1.manufacturer_id = t2.manufacturer_id GROUP BY t1.manufacturer_id
medium
3,401
manufacturer
[ "furniture", "furniture_manufacte" ]
Give me the names and prices of furnitures which some companies are manufacturing.
SELECT t1.name , t2.price_in_dollar FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID
medium
3,402
manufacturer
[ "furniture", "furniture_manufacte" ]
Find the market shares and names of furnitures which no any company is producing in our records.
SELECT Market_Rate , name FROM furniture WHERE Furniture_ID NOT IN (SELECT Furniture_ID FROM furniture_manufacte)
extra
3,403
manufacturer
[ "furniture", "furniture_manufacte", "manufacturer" ]
Find the name of the company that produces both furnitures with less than 6 components and furnitures with more than 10 components.
SELECT t3.name FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID JOIN manufacturer AS t3 ON t2.manufacturer_id = t3.manufacturer_id WHERE t1.num_of_component < 6 INTERSECT SELECT t3.name FROM furniture AS t1 JOIN furniture_manufacte AS t2 ON t1.Furniture_ID = t2.Furniture_ID JOIN manufacturer AS t3 ON t2.manufacturer_id = t3.manufacturer_id WHERE t1.num_of_component > 10
extra
3,404
hr_1
[ "employees", "departments" ]
Display the first name and department name for each employee.
SELECT T1.first_name , T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id
medium
3,405
hr_1
[ "employees", "departments" ]
What are the first name and department name of all employees?
SELECT T1.first_name , T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id
medium
3,406
hr_1
[ "employees" ]
List the full name (first and last name), and salary for those employees who earn below 6000.
SELECT first_name , last_name , salary FROM employees WHERE salary < 6000
medium
3,407
hr_1
[ "employees" ]
What are the full names and salaries for any employees earning less than 6000?
SELECT first_name , last_name , salary FROM employees WHERE salary < 6000
medium
3,408
hr_1
[ "employees" ]
Display the first name, and department number for all employees whose last name is "McEwen".
SELECT first_name , department_id FROM employees WHERE last_name = 'McEwen'
medium
3,409
hr_1
[ "employees" ]
What are the first names and department numbers for employees with last name McEwen?
SELECT first_name , department_id FROM employees WHERE last_name = 'McEwen'
medium
3,410
hr_1
[ "employees" ]
Return all the information for all employees without any department number.
SELECT * FROM employees WHERE department_id = "null"
easy
3,411
hr_1
[ "employees" ]
What are all the employees without a department number?
SELECT * FROM employees WHERE department_id = "null"
easy
3,412
hr_1
[ "departments" ]
Display all the information about the department Marketing.
SELECT * FROM departments WHERE department_name = 'Marketing'
easy
3,413
hr_1
[ "departments" ]
What is all the information about the Marketing department?
SELECT * FROM departments WHERE department_name = 'Marketing'
easy
3,414
hr_1
[ "employees" ]
when is the hire date for those employees whose first name does not containing the letter M?
SELECT hire_date FROM employees WHERE first_name NOT LIKE '%M%'
medium
3,415
hr_1
[ "employees" ]
On what dates were employees without the letter M in their first names hired?
SELECT hire_date FROM employees WHERE first_name NOT LIKE '%M%'
medium
3,416
hr_1
[ "employees" ]
display the full name (first and last), hire date, salary, and department number for those employees whose first name does not containing the letter M.
SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%'
medium
3,417
hr_1
[ "employees" ]
What are the full name, hire date, salary, and department id for employees without the letter M in their first name?
SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%'
medium
3,418
hr_1
[ "employees" ]
display the full name (first and last), hire date, salary, and department number for those employees whose first name does not containing the letter M and make the result set in ascending order by department number.
SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id
hard
3,419
hr_1
[ "employees" ]
What are the full name, hire data, salary and department id for employees without the letter M in their first name, ordered by ascending department id?
SELECT first_name , last_name , hire_date , salary , department_id FROM employees WHERE first_name NOT LIKE '%M%' ORDER BY department_id
hard
3,420
hr_1
[ "employees" ]
what is the phone number of employees whose salary is in the range of 8000 and 12000?
SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000
easy
3,421
hr_1
[ "employees" ]
Return the phone numbers of employees with salaries between 8000 and 12000.
SELECT phone_number FROM employees WHERE salary BETWEEN 8000 AND 12000
easy
3,422
hr_1
[ "employees" ]
display all the information of employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40.
SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR department_id != 40
medium
3,423
hr_1
[ "employees" ]
Return all information about employees with salaries between 8000 and 12000 for which commission is not null or where their department id is not 40.
SELECT * FROM employees WHERE salary BETWEEN 8000 AND 12000 AND commission_pct != "null" OR department_id != 40
medium
3,424
hr_1
[ "employees" ]
What are the full name (first and last name) and salary for all employees who does not have any value for commission?
SELECT first_name , last_name , salary FROM employees WHERE commission_pct = "null"
medium
3,425
hr_1
[ "employees" ]
Return the full names and salaries of employees with null commissions.
SELECT first_name , last_name , salary FROM employees WHERE commission_pct = "null"
medium
3,426
hr_1
[ "employees" ]
Display the first and last name, and salary for those employees whose first name is ending with the letter m.
SELECT first_name , last_name , salary FROM employees WHERE first_name LIKE '%m'
medium
3,427
hr_1
[ "employees" ]
Return the full names and salaries for employees with first names that end with the letter m.
SELECT first_name , last_name , salary FROM employees WHERE first_name LIKE '%m'
medium
3,428
hr_1
[ "employees" ]
Find job id and date of hire for those employees who was hired between November 5th, 2007 and July 5th, 2009.
SELECT job_id , hire_date FROM employees WHERE hire_date BETWEEN '2007-11-05' AND '2009-07-05'
medium
3,429
hr_1
[ "employees" ]
What are the job ids and dates of hire for employees hired after November 5th, 2007 and before July 5th, 2009?
SELECT job_id , hire_date FROM employees WHERE hire_date BETWEEN '2007-11-05' AND '2009-07-05'
medium
3,430
hr_1
[ "employees" ]
What are the first and last name for those employees who works either in department 70 or 90?
SELECT first_name , last_name FROM employees WHERE department_id = 70 OR department_id = 90
extra
3,431
hr_1
[ "employees" ]
What are the full names of employees who with in department 70 or 90?
SELECT first_name , last_name FROM employees WHERE department_id = 70 OR department_id = 90
extra
3,432
hr_1
[ "employees" ]
Find the salary and manager number for those employees who is working under a manager.
SELECT salary , manager_id FROM employees WHERE manager_id != "null"
medium
3,433
hr_1
[ "employees" ]
What are the salaries and manager ids for employees who have managers?
SELECT salary , manager_id FROM employees WHERE manager_id != "null"
medium
3,434
hr_1
[ "employees" ]
display all the details from Employees table for those employees who was hired before 2002-06-21.
SELECT * FROM employees WHERE hire_date < '2002-06-21'
easy
3,435
hr_1
[ "employees" ]
What is all the information about employees hired before June 21, 2002?
SELECT * FROM employees WHERE hire_date < '2002-06-21'
easy
3,436
hr_1
[ "employees" ]
display all the information for all employees who have the letters D or S in their first name and also arrange the result in descending order by salary.
SELECT * FROM employees WHERE first_name LIKE '%D%' OR first_name LIKE '%S%' ORDER BY salary DESC
extra
3,437
hr_1
[ "employees" ]
What is all the information about employees with D or S in their first name, ordered by salary descending?
SELECT * FROM employees WHERE first_name LIKE '%D%' OR first_name LIKE '%S%' ORDER BY salary DESC
extra
3,438
hr_1
[ "employees" ]
display those employees who joined after 7th September, 1987.
SELECT * FROM employees WHERE hire_date > '1987-09-07'
easy
3,439
hr_1
[ "employees" ]
Which employees were hired after September 7th, 1987?
SELECT * FROM employees WHERE hire_date > '1987-09-07'
easy
3,440
hr_1
[ "jobs" ]
display the job title of jobs which minimum salary is greater than 9000.
SELECT job_title FROM jobs WHERE min_salary > 9000
easy
3,441
hr_1
[ "jobs" ]
Which job titles correspond to jobs with salaries over 9000?
SELECT job_title FROM jobs WHERE min_salary > 9000
easy
3,442
hr_1
[ "jobs" ]
display job Title, the difference between minimum and maximum salaries for those jobs which max salary within the range 12000 to 18000.
SELECT job_title , max_salary - min_salary FROM jobs WHERE max_salary BETWEEN 12000 AND 18000
medium
3,443
hr_1
[ "jobs" ]
What are the job titles, and range of salaries for jobs with maximum salary between 12000 and 18000?
SELECT job_title , max_salary - min_salary FROM jobs WHERE max_salary BETWEEN 12000 AND 18000
medium
3,444
hr_1
[ "employees" ]
display the emails of the employees who have no commission percentage and salary within the range 7000 to 12000 and works in that department which number is 50.
SELECT email FROM employees WHERE commission_pct = "null" AND salary BETWEEN 7000 AND 12000 AND department_id = 50
medium
3,445
hr_1
[ "employees" ]
What are the emails of employees with null commission, salary between 7000 and 12000, and who work in department 50?
SELECT email FROM employees WHERE commission_pct = "null" AND salary BETWEEN 7000 AND 12000 AND department_id = 50
medium
3,446
hr_1
[ "job_history" ]
display the employee ID for each employee and the date on which he ended his previous job.
SELECT employee_id , MAX(end_date) FROM job_history GROUP BY employee_id
medium
3,447
hr_1
[ "job_history" ]
What are the employee ids for each employee and final dates of employment at their last job?
SELECT employee_id , MAX(end_date) FROM job_history GROUP BY employee_id
medium
3,448
hr_1
[ "employees" ]
display those departments where more than ten employees work who got a commission percentage.
SELECT department_id FROM employees GROUP BY department_id HAVING COUNT(commission_pct) > 10
easy
3,449
hr_1
[ "employees" ]
What are the department ids for which more than 10 employees had a commission?
SELECT department_id FROM employees GROUP BY department_id HAVING COUNT(commission_pct) > 10
easy
3,450
hr_1
[ "employees" ]
Find the ids of the departments where any manager is managing 4 or more employees.
SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4
medium
3,451
hr_1
[ "employees" ]
What are department ids for departments with managers managing more than 3 employees?
SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4
medium
3,452
hr_1
[ "employees" ]
display the average salary of employees for each department who gets a commission percentage.
SELECT department_id , AVG(salary) FROM employees WHERE commission_pct != "null" GROUP BY department_id
medium
3,453
hr_1
[ "employees" ]
What is the average salary of employees who have a commission percentage that is not null?
SELECT department_id , AVG(salary) FROM employees WHERE commission_pct != "null" GROUP BY department_id
medium
3,454
hr_1
[ "locations" ]
display the country ID and number of cities for each country.
SELECT country_id , COUNT(*) FROM locations GROUP BY country_id
medium
3,455
hr_1
[ "locations" ]
Give the country id and corresponding count of cities in each country.
SELECT country_id , COUNT(*) FROM locations GROUP BY country_id
medium
3,456
hr_1
[ "job_history" ]
display job ID for those jobs that were done by two or more for more than 300 days.
SELECT job_id FROM job_history WHERE end_date - start_date > 300 GROUP BY job_id HAVING COUNT(*) >= 2
medium
3,457
hr_1
[ "job_history" ]
What are the job ids for jobs done more than once for a period of more than 300 days?
SELECT job_id FROM job_history WHERE end_date - start_date > 300 GROUP BY job_id HAVING COUNT(*) >= 2
medium
3,458
hr_1
[ "job_history" ]
display the ID for those employees who did two or more jobs in the past.
SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2
easy
3,459
hr_1
[ "job_history" ]
What are the employee ids for employees who have held two or more jobs?
SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2
easy
3,460
hr_1
[ "employees", "departments", "countries", "locations" ]
Find employee with ID and name of the country presently where (s)he is working.
SELECT T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id
hard
3,461
hr_1
[ "employees", "departments", "countries", "locations" ]
What are all the employee ids and the names of the countries in which they work?
SELECT T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id
hard
3,462
hr_1
[ "employees", "departments" ]
display the department name and number of employees in each of the department.
SELECT T2.department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name
medium
3,463
hr_1
[ "employees", "departments" ]
Give the name of each department and the number of employees in each.
SELECT T2.department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name
medium
3,464
hr_1
[ "employees", "job_history" ]
Can you return all detailed info of jobs which was done by any of the employees who is presently earning a salary on and above 12000?
SELECT * FROM job_history AS T1 JOIN employees AS T2 ON T1.employee_id = T2.employee_id WHERE T2.salary >= 12000
medium
3,465
hr_1
[ "employees", "job_history" ]
What is all the job history info done by employees earning a salary greater than or equal to 12000?
SELECT * FROM job_history AS T1 JOIN employees AS T2 ON T1.employee_id = T2.employee_id WHERE T2.salary >= 12000
medium
3,466
hr_1
[ "employees", "jobs" ]
display job title and average salary of employees.
SELECT job_title , AVG(salary) FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id GROUP BY T2.job_title
medium
3,467
hr_1
[ "employees", "jobs" ]
What is the average salary for each job title?
SELECT job_title , AVG(salary) FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id GROUP BY T2.job_title
medium
3,468
hr_1
[ "employees" ]
What is the full name ( first name and last name ) for those employees who gets more salary than the employee whose id is 163?
SELECT first_name , last_name FROM employees WHERE salary > (SELECT salary FROM employees WHERE employee_id = 163 )
extra
3,469
hr_1
[ "employees" ]
Provide the full names of employees earning more than the employee with id 163.
SELECT first_name , last_name FROM employees WHERE salary > (SELECT salary FROM employees WHERE employee_id = 163 )
extra
3,470
hr_1
[ "employees" ]
return the smallest salary for every departments.
SELECT MIN(salary) , department_id FROM employees GROUP BY department_id
medium
3,471
hr_1
[ "employees" ]
What is the minimum salary in each department?
SELECT MIN(salary) , department_id FROM employees GROUP BY department_id
medium
3,472
hr_1
[ "employees" ]
Find the first name and last name and department id for those employees who earn such amount of salary which is the smallest salary of any of the departments.
SELECT first_name , last_name , department_id FROM employees WHERE salary IN (SELECT MIN(salary) FROM employees GROUP BY department_id)
extra
3,473
hr_1
[ "employees" ]
What are the full names and department ids for the lowest paid employees across all departments.
SELECT first_name , last_name , department_id FROM employees WHERE salary IN (SELECT MIN(salary) FROM employees GROUP BY department_id)
extra
3,474
hr_1
[ "employees" ]
Find the employee id for all employees who earn more than the average salary.
SELECT employee_id FROM employees WHERE salary > (SELECT AVG(salary) FROM employees)
hard
3,475
hr_1
[ "employees" ]
What are the employee ids for employees who make more than the average?
SELECT employee_id FROM employees WHERE salary > (SELECT AVG(salary) FROM employees)
hard
3,476
hr_1
[ "employees" ]
display the employee id and salary of all employees who report to Payam (first name).
SELECT employee_id , salary FROM employees WHERE manager_id = (SELECT employee_id FROM employees WHERE first_name = 'Payam' )
extra
3,477
hr_1
[ "employees" ]
What are the employee ids of employees who report to Payam, and what are their salaries?
SELECT employee_id , salary FROM employees WHERE manager_id = (SELECT employee_id FROM employees WHERE first_name = 'Payam' )
extra
3,478
hr_1
[ "employees", "departments" ]
find the name of all departments that do actually have one or more employees assigned to them.
SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id
easy
3,479
hr_1
[ "employees", "departments" ]
What are the names of departments that have at least one employee.
SELECT DISTINCT T2.department_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id
easy
3,480
hr_1
[ "employees", "departments" ]
get the details of employees who manage a department.
SELECT DISTINCT * FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T1.employee_id = T2.manager_id
medium
3,481
hr_1
[ "employees", "departments" ]
What is all the information regarding employees who are managers?
SELECT DISTINCT * FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T1.employee_id = T2.manager_id
medium
3,482
hr_1
[ "departments" ]
display all the information about the department Marketing.
SELECT * FROM departments WHERE department_name = 'Marketing'
easy
3,483
hr_1
[ "departments" ]
What is all the information about the Marketing department?
SELECT * FROM departments WHERE department_name = 'Marketing'
easy
3,484
hr_1
[ "job_history" ]
display the ID for those employees who did two or more jobs in the past.
SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2
easy
3,485
hr_1
[ "job_history" ]
What are the employee ids for those who had two or more jobs.
SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2
easy
3,486
hr_1
[ "employees" ]
What are the unique ids of those departments where any manager is managing 4 or more employees.
SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4
medium
3,487
hr_1
[ "employees" ]
Give the distinct department ids of departments in which a manager is in charge of 4 or more employees?
SELECT DISTINCT department_id FROM employees GROUP BY department_id , manager_id HAVING COUNT(employee_id) >= 4
medium
3,488
hr_1
[ "employees" ]
Find the job ID for those jobs which average salary is above 8000.
SELECT job_id FROM employees GROUP BY job_id HAVING AVG(salary) > 8000
easy
3,489
hr_1
[ "employees" ]
What are the job ids corresponding to jobs with average salary above 8000?
SELECT job_id FROM employees GROUP BY job_id HAVING AVG(salary) > 8000
easy
3,490
hr_1
[ "employees", "jobs" ]
display the employee ID and job name for all those jobs in department 80.
SELECT T1.employee_id , T2.job_title FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.department_id = 80
medium
3,491
hr_1
[ "employees", "jobs" ]
what are the employee ids and job titles for employees in department 80?
SELECT T1.employee_id , T2.job_title FROM employees AS T1 JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.department_id = 80
medium
3,492
hr_1
[ "employees", "departments" ]
What is the first name and job id for all employees in the Finance department?
SELECT T1.first_name , T1.job_id FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Finance'
medium
3,493
hr_1
[ "employees", "departments" ]
Give the first name and job id for all employees in the Finance department.
SELECT T1.first_name , T1.job_id FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Finance'
medium
3,494
hr_1
[ "employees" ]
display all the information of the employees whose salary if within the range of smallest salary and 2500.
SELECT * FROM employees WHERE salary BETWEEN (SELECT MIN(salary) FROM employees) AND 2500
hard
3,495
hr_1
[ "employees" ]
What is all the information regarding employees with salaries above the minimum and under 2500?
SELECT * FROM employees WHERE salary BETWEEN (SELECT MIN(salary) FROM employees) AND 2500
hard
3,496
hr_1
[ "departments", "employees" ]
Find the ids of the employees who does not work in those departments where some employees works whose manager id within the range 100 and 200.
SELECT * FROM employees WHERE department_id NOT IN (SELECT department_id FROM departments WHERE manager_id BETWEEN 100 AND 200)
hard
3,497
hr_1
[ "departments", "employees" ]
What are the ids for employees who do not work in departments with managers that have ids between 100 and 200?
SELECT * FROM employees WHERE department_id NOT IN (SELECT department_id FROM departments WHERE manager_id BETWEEN 100 AND 200)
hard
3,498
hr_1
[ "employees" ]
display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara.
SELECT first_name , last_name , hire_date FROM employees WHERE department_id = (SELECT department_id FROM employees WHERE first_name = "Clara")
extra
3,499
hr_1
[ "employees" ]
What are the full names and hire dates for employees in the same department as someone with the first name Clara?
SELECT first_name , last_name , hire_date FROM employees WHERE department_id = (SELECT department_id FROM employees WHERE first_name = "Clara")
extra