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subqueries_exercise.sql
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130 lines (99 loc) · 2.36 KB
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SELECT 'curie';
SELECT *
FROM employees
WHERE hire_date = (
SELECT hire_date
FROM employees
WHERE emp_no = 101010
);
SELECT emp_no
FROM employees
WHERE first_name = 'Aamod';
SELECT DISTINCT title
FROM titles
WHERE emp_no IN (
SELECT emp_no
FROM employees
WHERE first_name = 'Aamod'
);
-- how many people currently work at the company
SELECT COUNT(*)
FROM salaries
WHERE to_date > NOW();
-- how many records are in the employees table
SELECT count(*)
FROM employees;
SELECT (
SELECT COUNT(*)
FROM employees
) - (
SELECT COUNT(*)
FROM salaries
WHERE to_date > NOW()
);
SELECT DISTINCT emp_no
FROM salaries
WHERE to_date < NOW();
SELECT *
FROM employees
WHERE emp_no IN (
SELECT emp_no
FROM salaries
GROUP BY emp_no
HAVING MAX(to_date) < NOW()
);
SELECT *
FROM employees
WHERE emp_no NOT IN (
SELECT emp_no
FROM salaries
WHERE to_date > NOW()
);
SELECT first_name, last_name
FROM employees
WHERE emp_no IN (
SELECT emp_no
FROM dept_manager
WHERE to_date > NOW()
) AND gender = 'F';
SELECT
COALESCE(d.dept_name, 'Overall Average') AS department,
AVG(s.salary) AS salary
FROM departments d
JOIN dept_emp de USING (dept_no)
JOIN salaries s USING (emp_no)
GROUP BY d.dept_name WITH ROLLUP;
-- Find all the employees that currently have a higher than average salary.
-- 154543 rows in total. Here is what the first 5 rows will look like:
-- +------------+-----------+--------+
-- | first_name | last_name | salary |
-- +------------+-----------+--------+
-- | Georgi | Facello | 88958 |
-- | Bezalel | Simmel | 72527 |
-- | Chirstian | Koblick | 74057 |
-- | Kyoichi | Maliniak | 94692 |
-- | Tzvetan | Zielinski | 88070 |
-- +------------+-----------+--------+
-- employees table to get names
-- salary table to get the salary info
SELECT first_name, last_name, salary
FROM employees
JOIN salaries using(emp_no)
WHERE salary > (
SELECT AVG(salary)
FROM salaries
)
AND
to_date > CURDATE();
-- How many current salaries are within 1 standard deviation of the highest salary?
-- (Hint: you can use a built in function to calculate the standard deviation.)
-- What percentage of all salaries is this?
-- 78 salaries
SELECT
(SELECT count(*)
FROM salaries
WHERE salary >= (
(SELECT max(salary)
FROM salaries) - (SELECT STDDEV(salary) FROM salaries))
AND to_date > curdate())
/ (SELECT count(*) from salaries where to_date > curdate());