Datasets:
AayushShah
/
Univeral_SQL_Three_Datasets_Combined_WithText_IDs

Dataset card Data Studio Files Community
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NATURAL_LANG
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Give me the name and year of opening of the manufacturers that have either less than 10 factories or more than 10 shops.
SELECT name, open_year FROM manufacturer WHERE num_of_shops > 10 OR Num_of_Factories < 10
CREATE TABLE manufacturer (name VARCHAR, open_year VARCHAR, num_of_shops VARCHAR, Num_of_Factories VARCHAR)
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what is the average number of factories and maximum number of shops for manufacturers that opened before 1990.
SELECT MAX(num_of_shops), AVG(Num_of_Factories) FROM manufacturer WHERE open_year < 1990
CREATE TABLE manufacturer (num_of_shops INTEGER, Num_of_Factories INTEGER, open_year INTEGER)
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Find the id and number of shops for the company that produces the most expensive furniture.
SELECT t1.manufacturer_id, t1.num_of_shops FROM manufacturer AS t1 JOIN furniture_manufacte AS t2 ON t1.manufacturer_id = t2.manufacturer_id ORDER BY t2.Price_in_Dollar DESC LIMIT 1
CREATE TABLE manufacturer (manufacturer_id VARCHAR, num_of_shops VARCHAR); CREATE TABLE furniture_manufacte (manufacturer_id VARCHAR, Price_in_Dollar VARCHAR)
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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
CREATE TABLE furniture_manufacte (manufacturer_id VARCHAR); CREATE TABLE manufacturer (name VARCHAR, manufacturer_id VARCHAR)
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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
CREATE TABLE furniture_manufacte (price_in_dollar VARCHAR, Furniture_ID VARCHAR); CREATE TABLE furniture (name VARCHAR, Furniture_ID VARCHAR)
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Find the market shares and names of furnitures which no any company is producing in our records.
SELECT Market_Rate, name FROM furniture WHERE NOT Furniture_ID IN (SELECT Furniture_ID FROM furniture_manufacte)
CREATE TABLE furniture (Market_Rate VARCHAR, name VARCHAR, Furniture_ID VARCHAR); CREATE TABLE furniture_manufacte (Market_Rate VARCHAR, name VARCHAR, Furniture_ID VARCHAR)
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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
CREATE TABLE departments (department_name VARCHAR, department_id VARCHAR); CREATE TABLE employees (first_name VARCHAR, department_id VARCHAR)
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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
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, salary INTEGER)
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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'
CREATE TABLE employees (first_name VARCHAR, department_id VARCHAR, last_name VARCHAR)
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Return all the information for all employees without any department number.
SELECT * FROM employees WHERE department_id = "null"
CREATE TABLE employees (department_id VARCHAR)
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Display all the information about the department Marketing.
SELECT * FROM departments WHERE department_name = 'Marketing'
CREATE TABLE departments (department_name VARCHAR)
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when is the hire date for those employees whose first name does not containing the letter M?
SELECT hire_date FROM employees WHERE NOT first_name LIKE '%M%'
CREATE TABLE employees (hire_date VARCHAR, first_name VARCHAR)
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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 NOT first_name LIKE '%M%'
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, hire_date VARCHAR, salary VARCHAR, department_id VARCHAR)
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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 NOT first_name LIKE '%M%' ORDER BY department_id
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, hire_date VARCHAR, salary VARCHAR, department_id VARCHAR)
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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
CREATE TABLE employees (phone_number VARCHAR, salary INTEGER)
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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
CREATE TABLE employees (department_id VARCHAR, salary VARCHAR, commission_pct VARCHAR)
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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"
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, salary VARCHAR, commission_pct VARCHAR)
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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'
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, salary VARCHAR)
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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'
CREATE TABLE employees (job_id VARCHAR, hire_date INTEGER)
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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
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, department_id VARCHAR)
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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"
CREATE TABLE employees (salary VARCHAR, manager_id VARCHAR)
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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'
CREATE TABLE employees (hire_date INTEGER)
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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
CREATE TABLE employees (salary VARCHAR, first_name VARCHAR)
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display those employees who joined after 7th September, 1987.
SELECT * FROM employees WHERE hire_date > '1987-09-07'
CREATE TABLE employees (hire_date INTEGER)
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display the job title of jobs which minimum salary is greater than 9000.
SELECT job_title FROM jobs WHERE min_salary > 9000
CREATE TABLE jobs (job_title VARCHAR, min_salary INTEGER)
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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
CREATE TABLE jobs (job_title VARCHAR, max_salary INTEGER, min_salary VARCHAR)
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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
CREATE TABLE employees (email VARCHAR, department_id VARCHAR, commission_pct VARCHAR, salary VARCHAR)
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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
CREATE TABLE job_history (employee_id VARCHAR, end_date INTEGER)
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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
CREATE TABLE employees (department_id VARCHAR, commission_pct VARCHAR)
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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
CREATE TABLE employees (department_id VARCHAR, manager_id VARCHAR, employee_id VARCHAR)
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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
CREATE TABLE employees (department_id VARCHAR, salary INTEGER, commission_pct VARCHAR)
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display the country ID and number of cities for each country.
SELECT country_id, COUNT(*) FROM locations GROUP BY country_id
CREATE TABLE locations (country_id VARCHAR)
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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
CREATE TABLE job_history (job_id VARCHAR, end_date VARCHAR, start_date VARCHAR)
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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
CREATE TABLE job_history (employee_id VARCHAR)
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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
CREATE TABLE countries (country_name VARCHAR, country_id VARCHAR); CREATE TABLE departments (department_id VARCHAR, location_id VARCHAR); CREATE TABLE locations (location_id VARCHAR, country_id VARCHAR); CREATE TABLE employees (employee_id VARCHAR, department_id VARCHAR)
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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
CREATE TABLE departments (department_name VARCHAR, department_id VARCHAR); CREATE TABLE employees (department_id VARCHAR)
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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
CREATE TABLE job_history (employee_id VARCHAR); CREATE TABLE employees (employee_id VARCHAR, salary VARCHAR)
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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
CREATE TABLE jobs (job_title VARCHAR, job_id VARCHAR); CREATE TABLE employees (job_id VARCHAR)
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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)
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, salary INTEGER, employee_id VARCHAR)
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return the smallest salary for every departments.
SELECT MIN(salary), department_id FROM employees GROUP BY department_id
CREATE TABLE employees (department_id VARCHAR, salary INTEGER)
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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)
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, department_id VARCHAR, salary INTEGER)
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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)
CREATE TABLE employees (employee_id VARCHAR, salary INTEGER)
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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')
CREATE TABLE employees (employee_id VARCHAR, salary VARCHAR, manager_id VARCHAR, first_name VARCHAR)
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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
CREATE TABLE departments (department_name VARCHAR, department_id VARCHAR); CREATE TABLE employees (department_id VARCHAR)
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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
CREATE TABLE departments (department_id VARCHAR, manager_id VARCHAR); CREATE TABLE employees (department_id VARCHAR, employee_id VARCHAR)
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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
CREATE TABLE employees (job_id VARCHAR, salary INTEGER)
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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
CREATE TABLE jobs (job_title VARCHAR, job_id VARCHAR); CREATE TABLE employees (employee_id VARCHAR, job_id VARCHAR, department_id VARCHAR)
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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'
CREATE TABLE departments (department_id VARCHAR, department_name VARCHAR); CREATE TABLE employees (first_name VARCHAR, job_id VARCHAR, department_id VARCHAR)
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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
CREATE TABLE employees (salary INTEGER)
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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 NOT department_id IN (SELECT department_id FROM departments WHERE manager_id BETWEEN 100 AND 200)
CREATE TABLE departments (department_id VARCHAR, manager_id INTEGER); CREATE TABLE employees (department_id VARCHAR, manager_id INTEGER)
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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")
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, hire_date VARCHAR, department_id VARCHAR)
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display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara excluding Clara.
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"
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, hire_date VARCHAR, department_id VARCHAR)
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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’.
SELECT employee_id, first_name, last_name FROM employees WHERE department_id IN (SELECT department_id FROM employees WHERE first_name LIKE '%T%')
CREATE TABLE employees (employee_id VARCHAR, first_name VARCHAR, last_name VARCHAR, department_id VARCHAR)
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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.
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%')
CREATE TABLE employees (employee_id VARCHAR, first_name VARCHAR, last_name VARCHAR, salary INTEGER, department_id VARCHAR)
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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.
SELECT employee_id, job_id FROM employees WHERE salary < (SELECT MIN(salary) FROM employees WHERE job_id = 'MK_MAN')
CREATE TABLE employees (employee_id VARCHAR, job_id VARCHAR, salary INTEGER)
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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.
SELECT employee_id, first_name, last_name, job_id FROM employees WHERE salary > (SELECT MAX(salary) FROM employees WHERE job_id = 'PU_MAN')
CREATE TABLE employees (employee_id VARCHAR, first_name VARCHAR, last_name VARCHAR, job_id VARCHAR, salary INTEGER)
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display the department id and the total salary for those departments which contains at least two employees.
SELECT department_id, SUM(salary) FROM employees GROUP BY department_id HAVING COUNT(*) >= 2
CREATE TABLE employees (department_id VARCHAR, salary INTEGER)
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display all the information of those employees who did not have any job in the past.
SELECT * FROM employees WHERE NOT employee_id IN (SELECT employee_id FROM job_history)
CREATE TABLE job_history (employee_id VARCHAR); CREATE TABLE employees (employee_id VARCHAR)
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display the department ID, full name (first and last name), salary for those employees who is highest salary in every department.
SELECT first_name, last_name, salary, department_id, MAX(salary) FROM employees GROUP BY department_id
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, salary INTEGER, department_id VARCHAR)
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display the first and last name, department, city, and state province for each employee.
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
CREATE TABLE departments (department_name VARCHAR, department_id VARCHAR, location_id VARCHAR); CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, department_id VARCHAR); CREATE TABLE locations (city VARCHAR, state_province VARCHAR, location_id VARCHAR)
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display those employees who contain a letter z to their first name and also display their last name, city.
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%'
CREATE TABLE locations (city VARCHAR, location_id VARCHAR); CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, department_id VARCHAR); CREATE TABLE departments (department_id VARCHAR, location_id VARCHAR)
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display the department name, city, and state province for each department.
SELECT T1.department_name, T2.city, T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id
CREATE TABLE locations (city VARCHAR, state_province VARCHAR, location_id VARCHAR); CREATE TABLE departments (department_name VARCHAR, location_id VARCHAR)
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display the full name (first and last name ) of employee with ID and name of the country presently where (s)he is working.
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
CREATE TABLE countries (country_name VARCHAR, country_id VARCHAR); CREATE TABLE departments (department_id VARCHAR, location_id VARCHAR); CREATE TABLE locations (location_id VARCHAR, country_id VARCHAR); CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, employee_id VARCHAR, department_id VARCHAR)
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display the department name and number of employees in each of the department.
SELECT department_name, COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY department_name
CREATE TABLE employees (department_id VARCHAR); CREATE TABLE departments (department_id VARCHAR)
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display the full name (first and last name), and salary of those employees who working in any department located in London.
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'
CREATE TABLE locations (location_id VARCHAR, city VARCHAR); CREATE TABLE employees (department_id VARCHAR); CREATE TABLE departments (department_id VARCHAR, location_id VARCHAR)
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What is the name of the song that was released in the most recent year?
SELECT song_name, releasedate FROM song ORDER BY releasedate DESC LIMIT 1
CREATE TABLE song (song_name VARCHAR, releasedate VARCHAR)
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What is the id of the longest song?
SELECT f_id FROM files ORDER BY duration DESC LIMIT 1
CREATE TABLE files (f_id VARCHAR, duration VARCHAR)
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Find the names of all English songs.
SELECT song_name FROM song WHERE languages = "english"
CREATE TABLE song (song_name VARCHAR, languages VARCHAR)
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What are the id of songs whose format is mp3.
SELECT f_id FROM files WHERE formats = "mp3"
CREATE TABLE files (f_id VARCHAR, formats VARCHAR)
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List the name and country of origin for all singers who have produced songs with rating above 9.
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
CREATE TABLE song (artist_name VARCHAR, rating INTEGER); CREATE TABLE artist (artist_name VARCHAR, country VARCHAR)
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List the file size and format for all songs that have resolution lower than 800.
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
CREATE TABLE song (f_id VARCHAR, resolution INTEGER); CREATE TABLE files (file_size VARCHAR, formats VARCHAR, f_id VARCHAR)
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What is the name of the artist who produced the shortest song?
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
CREATE TABLE files (f_id VARCHAR, duration VARCHAR); CREATE TABLE song (artist_name VARCHAR, f_id VARCHAR)
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What are the names and countries of origin for the artists who produced the top three highly rated songs.
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
CREATE TABLE song (artist_name VARCHAR, rating VARCHAR); CREATE TABLE artist (artist_name VARCHAR, country VARCHAR)
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How many songs have 4 minute duration?
SELECT COUNT(*) FROM files WHERE duration LIKE "4:%"
CREATE TABLE files (duration VARCHAR)
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How many artists are from Bangladesh?
SELECT COUNT(*) FROM artist WHERE country = "Bangladesh"
CREATE TABLE artist (country VARCHAR)
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What is the average rating of songs produced by female artists?
SELECT AVG(T2.rating) FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female"
CREATE TABLE song (rating INTEGER, artist_name VARCHAR); CREATE TABLE artist (artist_name VARCHAR, gender VARCHAR)
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What is the most popular file format?
SELECT formats FROM files GROUP BY formats ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE files (formats VARCHAR)
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Find the names of the artists who are from UK and have produced English songs.
SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT artist_name FROM song WHERE languages = "english"
CREATE TABLE artist (artist_name VARCHAR, country VARCHAR, languages VARCHAR); CREATE TABLE song (artist_name VARCHAR, country VARCHAR, languages VARCHAR)
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Find the id of songs that are available in mp4 format and have resolution lower than 1000.
SELECT f_id FROM files WHERE formats = "mp4" INTERSECT SELECT f_id FROM song WHERE resolution < 1000
CREATE TABLE song (f_id VARCHAR, formats VARCHAR, resolution INTEGER); CREATE TABLE files (f_id VARCHAR, formats VARCHAR, resolution INTEGER)
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What is the country of origin of the artist who is female and produced a song in Bangla?
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"
CREATE TABLE artist (country VARCHAR, artist_name VARCHAR, gender VARCHAR); CREATE TABLE song (artist_name VARCHAR, languages VARCHAR)
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What is the average duration of songs that have mp3 format and resolution below 800?
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
CREATE TABLE files (duration INTEGER, f_id VARCHAR, formats VARCHAR); CREATE TABLE song (f_id VARCHAR, resolution VARCHAR)
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What is the number of artists for each gender?
SELECT COUNT(*), gender FROM artist GROUP BY gender
CREATE TABLE artist (gender VARCHAR)
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What is the average rating of songs for each language?
SELECT AVG(rating), languages FROM song GROUP BY languages
CREATE TABLE song (languages VARCHAR, rating INTEGER)
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Return the gender and name of artist who produced the song with the lowest resolution.
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
CREATE TABLE artist (gender VARCHAR, artist_name VARCHAR); CREATE TABLE song (artist_name VARCHAR, resolution VARCHAR)
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For each file format, return the number of artists who released songs in that format.
SELECT COUNT(*), formats FROM files GROUP BY formats
CREATE TABLE files (formats VARCHAR)
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Find the distinct names of all songs that have a higher resolution than some songs in English.
SELECT DISTINCT song_name FROM song WHERE resolution > (SELECT MIN(resolution) FROM song WHERE languages = "english")
CREATE TABLE song (song_name VARCHAR, resolution INTEGER, languages VARCHAR)
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What are the names of all songs that have a lower rating than some song of blues genre?
SELECT song_name FROM song WHERE rating < (SELECT MAX(rating) FROM song WHERE genre_is = "blues")
CREATE TABLE song (song_name VARCHAR, rating INTEGER, genre_is VARCHAR)
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What is the name and country of origin of the artist who released a song that has "love" in its title?
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%"
CREATE TABLE song (artist_name VARCHAR, song_name VARCHAR); CREATE TABLE artist (artist_name VARCHAR, country VARCHAR)
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List the name and gender for all artists who released songs in March.
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%"
CREATE TABLE song (artist_name VARCHAR, releasedate VARCHAR); CREATE TABLE artist (artist_name VARCHAR, gender VARCHAR)
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List the names of all genres in alphabetical oder, together with its ratings.
SELECT g_name, rating FROM genre ORDER BY g_name
CREATE TABLE genre (g_name VARCHAR, rating VARCHAR)
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Give me a list of the names of all songs ordered by their resolution.
SELECT song_name FROM song ORDER BY resolution
CREATE TABLE song (song_name VARCHAR, resolution VARCHAR)
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What are the ids of songs that are available in either mp4 format or have resolution above 720?
SELECT f_id FROM files WHERE formats = "mp4" UNION SELECT f_id FROM song WHERE resolution > 720
CREATE TABLE song (f_id VARCHAR, formats VARCHAR, resolution INTEGER); CREATE TABLE files (f_id VARCHAR, formats VARCHAR, resolution INTEGER)
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List the names of all songs that have 4 minute duration or are in English.
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"
CREATE TABLE files (f_id VARCHAR, duration VARCHAR); CREATE TABLE song (song_name VARCHAR, f_id VARCHAR); CREATE TABLE song (song_name VARCHAR, languages VARCHAR)
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What is the language used most often in the songs?
SELECT languages FROM song GROUP BY languages ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE song (languages VARCHAR)
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What is the language that was used most often in songs with resolution above 500?
SELECT artist_name FROM song WHERE resolution > 500 GROUP BY languages ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE song (artist_name VARCHAR, languages VARCHAR, resolution INTEGER)
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What are the names of artists who are Male and are from UK?
SELECT artist_name FROM artist WHERE country = "UK" AND gender = "Male"
CREATE TABLE artist (artist_name VARCHAR, country VARCHAR, gender VARCHAR)
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Find the names of songs whose genre is modern or language is English.
SELECT song_name FROM song WHERE genre_is = "modern" OR languages = "english"
CREATE TABLE song (song_name VARCHAR, genre_is VARCHAR, languages VARCHAR)
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Return the names of songs for which format is mp3 and resolution is below 1000.
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
CREATE TABLE song (song_name VARCHAR, resolution INTEGER); CREATE TABLE song (song_name VARCHAR, f_id VARCHAR); CREATE TABLE files (f_id VARCHAR, formats VARCHAR)
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Return the names of singers who are from UK and released an English song.
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"
CREATE TABLE song (artist_name VARCHAR, languages VARCHAR); CREATE TABLE artist (artist_name VARCHAR); CREATE TABLE artist (artist_name VARCHAR, country VARCHAR)
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What are the average rating and resolution of songs that are in Bangla?
SELECT AVG(rating), AVG(resolution) FROM song WHERE languages = "bangla"
CREATE TABLE song (rating INTEGER, resolution INTEGER, languages VARCHAR)
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