The request

From Nicole Bennett, HR Business Partner
Your goal
Join employees to itself (each employee to their manager through manager_id). Return one row per employee who has at least one direct report, with: manager_name (the manager's first_name, a space, last_name), title (the manager's title), direct_reports (number of employees whose manager_id is that manager) and avg_report_salary (average salary of those direct reports, rounded to 0). Sort by direct_reports descending, then manager_name ascending.
- Read from the
employeestablenot done yet - Show exactly
manager_nametitledirect_reportsavg_report_salarynot done yet - 12 rows, sorted as askednot done yet
Your query
Loading the editor…
Reference solution
| employee_id | first_name | last_name | department | title |
|---|---|---|---|---|
| 1 | Catherine | Hale | Executive | Chief Executive Officer |
| 2 | Robert | Kim | Executive | Chief Operating Officer |
| 3 | Megan | Collins | Sales | Head of Sales |
| 4 | Chloe | Gutierrez | Sales | Account Executive |
Mote checks your result
Press Run. Each row that matches the goal becomes a firefly in your lantern.
What Nicole gets, and why
Tables
Harbor & Pine store data, ready to query.
employees60 rows · 8 columns
employee_idintegerfirst_namevarcharlast_namevarchardepartmentvarchartitlevarcharmanager_idintegerhire_datedatesalaryinteger
| employee_id | first_name | last_name | department | title | manager_id | hire_date | salary |
|---|---|---|---|---|---|---|---|
| 1 | Catherine | Hale | Executive | Chief Executive Officer | NULL | 2016-03-01 | 285000 |
| 2 | Robert | Kim | Executive | Chief Operating Officer | 1 | 2017-01-09 | 235000 |
| 3 | Megan | Collins | Sales | Head of Sales | 1 | 2018-04-16 | 172000 |
| 4 | Chloe | Gutierrez | Sales | Account Executive | 3 | 2020-01-21 | 72000 |
| 5 | Frank | Bell | Sales | Account Executive | 3 | 2023-05-21 | 73000 |
customers2,018 rows · 9 columns
customer_idintegerfirst_namevarcharlast_namevarcharemailvarcharcityvarcharstatevarcharsignup_datedatesegmentvarcharreferral_sourcevarchar
| customer_id | first_name | last_name | city | state | signup_date | segment | referral_source | |
|---|---|---|---|---|---|---|---|---|
| 1 | Owen | Hudson | owen.hudson@icloud.com | San Francisco | CA | 2022-06-02 | consumer | search |
| 2 | Douglas | Mendoza | dmendoza69@gmail.com | Atlanta | GA | 2022-06-02 | consumer | NULL |
| 3 | Henry | Brooks | hbrooks@lakesidecafe.com | Los Angeles | CA | 2022-06-04 | business | NULL |
| 4 | Brian | Graham | bgraham@bluecedarhomes.com | Seattle | WA | 2022-06-06 | business | |
| 5 | Kyle | Jimenez | kjimenez27@yahoo.com | Indianapolis | IN | 2022-06-07 | consumer | NULL |
products120 rows · 8 columns
product_idintegernamevarcharcategoryvarcharsubcategoryvarcharunit_pricedecimalunit_costdecimallaunched_ondateis_activeboolean
| product_id | name | category | subcategory | unit_price | unit_cost | launched_on | is_active |
|---|---|---|---|---|---|---|---|
| 101 | Vale Velvet Loveseat | Furniture | Sofas | 1659.00 | NULL | 2023-09-11 | true |
| 102 | Alder Oak Coffee Table | Furniture | Tables | 919.00 | 503.50 | 2024-05-16 | true |
| 103 | Orchard Rattan Dining Chair | Furniture | Chairs | 789.00 | 429.87 | 2023-05-27 | true |
| 104 | Upland Oak Bookcase | Furniture | Storage | 429.00 | 214.70 | 2022-12-20 | true |
| 105 | Avery Leather Bed Frame | Furniture | Beds | 449.00 | 232.70 | 2021-08-31 | true |
orders12,000 rows · 7 columns
order_idintegercustomer_idintegerorder_datetimestampstatusvarcharchannelvarcharshipping_feedecimalcoupon_codevarchar
| order_id | customer_id | order_date | status | channel | shipping_fee | coupon_code |
|---|---|---|---|---|---|---|
| 1001 | 125 | 2023-01-01 20:51:19 | completed | web | 0.00 | NULL |
| 1002 | 156 | 2023-01-02 07:58:46 | completed | web | 0.00 | NULL |
| 1003 | 22 | 2023-01-02 10:25:27 | completed | marketplace | 4.99 | WELCOME10 |
| 1004 | 48 | 2023-01-02 11:21:51 | completed | marketplace | 4.99 | WELCOME10 |
| 1005 | 82 | 2023-01-02 11:43:36 | completed | web | 0.00 | WELCOME10 |
order_items30,338 rows · 6 columns
order_item_idintegerorder_idintegerproduct_idintegerquantityintegerunit_pricedecimaldiscount_pctdecimal
| order_item_id | order_id | product_id | quantity | unit_price | discount_pct |
|---|---|---|---|---|---|
| 1 | 1001 | 121 | 9 | 31.99 | 0.00 |
| 2 | 1001 | 154 | 3 | 11.99 | 0.00 |
| 3 | 1002 | 154 | 4 | 11.99 | 0.00 |
| 4 | 1002 | 194 | 1 | 149.00 | 0.00 |
| 5 | 1002 | 193 | 2 | 19.99 | 0.00 |
returns1,673 rows · 5 columns
return_idintegerorder_item_idintegerreturned_ondatereasonvarcharrefund_amountdecimal
| return_id | order_item_id | returned_on | reason | refund_amount |
|---|---|---|---|---|
| 1 | 14 | 2023-01-10 | damaged | 83.69 |
| 2 | 42 | 2023-01-10 | wrong_item | 19.99 |
| 3 | 105 | 2023-01-14 | wrong_item | 10.99 |
| 4 | 24 | 2023-01-16 | changed_mind | 26.99 |
| 5 | 126 | 2023-01-16 | late | 20.99 |
web_sessions40,000 rows · 7 columns
session_idintegercustomer_idintegerstarted_attimestampdevicevarcharsourcevarcharpages_viewedintegerconvertedboolean
| session_id | customer_id | started_at | device | source | pages_viewed | converted |
|---|---|---|---|---|---|---|
| 1 | NULL | 2023-01-01 23:02:24 | mobile | paid | 1 | false |
| 2 | 18 | 2023-01-01 15:07:49 | desktop | paid | 1 | false |
| 3 | NULL | 2023-01-01 16:55:46 | desktop | direct | 7 | false |
| 4 | NULL | 2023-01-01 12:43:28 | mobile | organic | 3 | false |
| 5 | NULL | 2023-01-01 13:06:21 | mobile | social | 2 | false |
marketing_spend3,276 rows · 3 columns
spend_datedatechannelvarcharamountdecimal
| spend_date | channel | amount |
|---|---|---|
| 2023-01-01 | paid | 492.99 |
| 2023-01-01 | 37.38 | |
| 2023-01-01 | social | 200.53 |
| 2023-01-02 | paid | 709.13 |
| 2023-01-02 | 64.13 |
The lesson
A self-join reads one table twice under two aliases. In employees, every row is a person and
manager_id points to another row of the same table. Giving the table two names lets you treat one
copy as “the report” and the other as “the manager”.
Recap: two roles, one table
SELECT e.first_name || ' ' || e.last_name AS employee_name,
e.department,
m.first_name || ' ' || m.last_name AS manager_name,
m.department AS manager_department
FROM employees AS e
JOIN employees AS m ON m.employee_id = e.manager_id
WHERE e.department <> m.department;
This lists the people whose manager sits in another department: 8 rows, all department heads reporting
to Catherine Hale or Robert Kim in Executive. The direction of the join condition carries the meaning:
m.employee_id = e.manager_id reads “m is the manager of e”.
For the ticket, the same join is followed by a GROUP BY on the manager. After the join there is one row
per report, so counting rows per manager counts their direct reports. The inner join drops anyone with no
reports, which is exactly the “at least one direct report” rule. Only 12 of the 60 employees manage
someone. If HR also wanted the people who manage nobody, with 0 reports, you would start from the
manager copy and LEFT JOIN the reports instead.
Group by m.employee_id as well as the name columns. Two managers could share a name; the id keeps them
apart even when you only display the name.
Common mistakes
- Reversed condition.
ON m.manager_id = e.employee_idmakesmthe report andethe manager. The query still runs and returns plausible but wrong teams. - Averaging the wrong alias.
AVG(m.salary)is the manager’s own salary repeated on every row. - Direct versus all reports. This counts direct reports only. Someone reporting to a team lead who reports to a head is not counted for the head. Walking the whole chain needs a recursive query, which appears later in the track.
In SQL Server
String concatenation uses + or CONCAT: m.first_name + ' ' + m.last_name AS manager_name. CONCAT
also treats NULL as an empty string, while + returns NULL if any part is NULL. || exists only in the newest
versions (Azure SQL, SQL Server 2025), so do not count on it.
Lantern lit!
Practised: self joininner joingroup byaliases
- Solved
- No hints
- First run
