The request

From Nicole Bennett, HR Business Partner
Your goal
From employees, return employee_id, first_name, last_name, department and hire_date for page 3 of a directory with 10 employees per page. The directory is sorted by department ascending (A to Z), then hire_date descending (newest first), then employee_id ascending. Page 3 means rows 21 to 30 of that sorted list.
- Read from the
employeestablenot done yet - Show exactly
employee_idfirst_namelast_namedepartmenthire_datenot done yet - 10 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
Paging combines two ideas from this chapter: a fully defined sort and an offset. This directory adds a twist: the sort keys go in different directions.
Every key has its own direction
DESC is not a setting for the whole ORDER BY. It belongs to the column right before it, and every
column without a keyword is ascending:
SELECT department, hire_date, employee_id
FROM employees
ORDER BY department ASC, hire_date DESC, employee_id ASC;
Rows are sorted by department first. Only among people in the same department does hire_date DESC
decide, newest first. Only if two people share both would employee_id decide. In Harbor & Pine’s
table no two people in one department share a hire date, so the last key never kicks in today, but it
guarantees the order stays fixed when someone new joins.
Pages are offsets
With 10 rows per page, page n starts after (n - 1) * 10 rows:
LIMIT 10 OFFSET 20 -- rows 21 to 30, page 3
Here that page starts with Eric Lopez (Engineering, hired 2023-08-21), runs through Catherine Hale and Robert Kim in Executive, and ends with four Finance employees, the newest being Jack Sanchez (hired 2024-05-03).
Common mistakes
- Expecting
ORDER BY department, hire_date DESCto sort departments descending. It does not; only hire_date is descending. - Changing the sort between pages. Page three only makes sense if pages one and two used the exact same ORDER BY.
- Using the page number as the offset,
OFFSET 3. Offsets count rows, not pages. - Leaving out the tie-breaker because “there are no ties today”. Paging is where a missing tie-breaker hurts most: if two rows tie at the edge of a page, one person can show up on both pages and another on neither, and nobody notices until HR gets a complaint.
- Forgetting that a large offset still reads every skipped row. For a 60-person directory that is nothing, but apps that page through millions of rows switch to “keyset” paging: remember the last row shown and ask for rows after it.
In SQL Server
SQL Server pages with OFFSET ... FETCH NEXT, and it requires an ORDER BY:
SELECT employee_id, department, hire_date
FROM employees
ORDER BY department ASC, hire_date DESC, employee_id ASC
OFFSET 20 ROWS FETCH NEXT 10 ROWS ONLY; Lantern lit!
Practised: order bymulti column sortasc desclimitoffsetpaging
- Solved
- No hints
- First run
