Split Employees into Salary Quartiles with NTILE(4)
Return every employee with a quartile number from 1 (highest paid) to 4.
The challenge runs on the SQLabHub practice database (SQLite) and uses the employees table. You can solve it in the browser, with nothing to install.
The task
Divide employees into 4 salary buckets.
A correct answer returns 120 rows with 13 columns: id, first_name, last_name, email, department, department_id, title, salary, hire_date, manager_id, city, status, bucket.
Tables used in this challenge
employees 120 rows
id INTEGER (PK) · first_name TEXT · last_name TEXT · email TEXT · department TEXT · department_id INTEGER · title TEXT · salary REAL · hire_date TEXT · manager_id INTEGER · city TEXT · status TEXT
| id | first_name | last_name | department | department_id | title | salary | hire_date | manager_id | city | status | |
|---|---|---|---|---|---|---|---|---|---|---|---|
The first rows of each table are shown. See how all the tables relate on the database schema page.
Expected output
| id | first_name | last_name | department | department_id | title | salary | hire_date | manager_id | city | status | bucket | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
First 5 of 120 rows. This is the output of the model solution on the practice database. The task does not fix a sort order, so your rows may come back in a different order.
What you practise
- Splitting rows into equal-sized buckets with NTILE()
Hint and approach
Try the challenge first. Open these only when you need them.
Show the hint
NTILE(4)
Show the step-by-step approach
How the model solution is built, in the order the database evaluates it:
- Read from the
employeestable. - Deal the rows into 4 equal-sized buckets with
NTILE(4), ordered bysalarydescending.
Model solution
Checking your session…
What to watch for
With 120 employees each quartile has exactly 30. When the row count does not divide evenly, the earlier buckets receive the extra rows.
- NTILE(). NTILE() balances the number of rows per bucket, not the values. Rows with the same value can end up in different buckets.
Related SQL challenges
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- Rank All Employees by Salary with RANK()Similar levelHard
- Calculate a Z-Score for Each SalarySimilar levelHard
Keep learning
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