1. Lighthouse

Level 6 · Page three of the staff directory

The request

From Nicole Bennett, HR Business Partner

“The new intranet shows the staff directory ten people per page, grouped by department with the newest hires first in each one. Page three looks wrong. What should be on it?”

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 employees tablenot done yet
  • Show exactly employee_id first_name last_name department hire_datenot done yet
  • 10 rows, sorted as askednot done yet

Your query

SQL

Loading the editor…

    ResultPreview of employees · press Run to see yours
    Preview of employees
    employee_idfirst_namelast_namedepartmenttitle
    1CatherineHaleExecutiveChief Executive Officer
    2RobertKimExecutiveChief Operating Officer
    3MeganCollinsSalesHead of Sales
    4ChloeGutierrezSalesAccount Executive

    Mote checks your result

    Press Run. Each row that matches the goal becomes a firefly in your lantern.

    Tables

    Harbor & Pine store data, ready to query.

    employees60 rows · 8 columns
    • employee_idinteger
    • first_namevarchar
    • last_namevarchar
    • departmentvarchar
    • titlevarchar
    • manager_idinteger
    • hire_datedate
    • salaryinteger
    First 5 rows of employees
    employee_idfirst_namelast_namedepartmenttitlemanager_idhire_datesalary
    1CatherineHaleExecutiveChief Executive OfficerNULL2016-03-01285000
    2RobertKimExecutiveChief Operating Officer12017-01-09235000
    3MeganCollinsSalesHead of Sales12018-04-16172000
    4ChloeGutierrezSalesAccount Executive32020-01-2172000
    5FrankBellSalesAccount Executive32023-05-2173000
    customers2,018 rows · 9 columns
    • customer_idinteger
    • first_namevarchar
    • last_namevarchar
    • emailvarchar
    • cityvarchar
    • statevarchar
    • signup_datedate
    • segmentvarchar
    • referral_sourcevarchar
    First 5 rows of customers
    customer_idfirst_namelast_nameemailcitystatesignup_datesegmentreferral_source
    1OwenHudsonowen.hudson@icloud.comSan FranciscoCA2022-06-02consumersearch
    2DouglasMendozadmendoza69@gmail.comAtlantaGA2022-06-02consumerNULL
    3HenryBrookshbrooks@lakesidecafe.comLos AngelesCA2022-06-04businessNULL
    4BrianGrahambgraham@bluecedarhomes.comSeattleWA2022-06-06businesspinterest
    5KyleJimenezkjimenez27@yahoo.comIndianapolisIN2022-06-07consumerNULL
    products120 rows · 8 columns
    • product_idinteger
    • namevarchar
    • categoryvarchar
    • subcategoryvarchar
    • unit_pricedecimal
    • unit_costdecimal
    • launched_ondate
    • is_activeboolean
    First 5 rows of products
    product_idnamecategorysubcategoryunit_priceunit_costlaunched_onis_active
    101Vale Velvet LoveseatFurnitureSofas1659.00NULL2023-09-11true
    102Alder Oak Coffee TableFurnitureTables919.00503.502024-05-16true
    103Orchard Rattan Dining ChairFurnitureChairs789.00429.872023-05-27true
    104Upland Oak BookcaseFurnitureStorage429.00214.702022-12-20true
    105Avery Leather Bed FrameFurnitureBeds449.00232.702021-08-31true
    orders12,000 rows · 7 columns
    • order_idinteger
    • customer_idinteger
    • order_datetimestamp
    • statusvarchar
    • channelvarchar
    • shipping_feedecimal
    • coupon_codevarchar
    First 5 rows of orders
    order_idcustomer_idorder_datestatuschannelshipping_feecoupon_code
    10011252023-01-01 20:51:19completedweb0.00NULL
    10021562023-01-02 07:58:46completedweb0.00NULL
    1003222023-01-02 10:25:27completedmarketplace4.99WELCOME10
    1004482023-01-02 11:21:51completedmarketplace4.99WELCOME10
    1005822023-01-02 11:43:36completedweb0.00WELCOME10
    order_items30,338 rows · 6 columns
    • order_item_idinteger
    • order_idinteger
    • product_idinteger
    • quantityinteger
    • unit_pricedecimal
    • discount_pctdecimal
    First 5 rows of order_items
    order_item_idorder_idproduct_idquantityunit_pricediscount_pct
    11001121931.990.00
    21001154311.990.00
    31002154411.990.00
    410021941149.000.00
    51002193219.990.00
    returns1,673 rows · 5 columns
    • return_idinteger
    • order_item_idinteger
    • returned_ondate
    • reasonvarchar
    • refund_amountdecimal
    First 5 rows of returns
    return_idorder_item_idreturned_onreasonrefund_amount
    1142023-01-10damaged83.69
    2422023-01-10wrong_item19.99
    31052023-01-14wrong_item10.99
    4242023-01-16changed_mind26.99
    51262023-01-16late20.99
    web_sessions40,000 rows · 7 columns
    • session_idinteger
    • customer_idinteger
    • started_attimestamp
    • devicevarchar
    • sourcevarchar
    • pages_viewedinteger
    • convertedboolean
    First 5 rows of web_sessions
    session_idcustomer_idstarted_atdevicesourcepages_viewedconverted
    1NULL2023-01-01 23:02:24mobilepaid1false
    2182023-01-01 15:07:49desktoppaid1false
    3NULL2023-01-01 16:55:46desktopdirect7false
    4NULL2023-01-01 12:43:28mobileorganic3false
    5NULL2023-01-01 13:06:21mobilesocial2false
    marketing_spend3,276 rows · 3 columns
    • spend_datedate
    • channelvarchar
    • amountdecimal
    First 5 rows of marketing_spend
    spend_datechannelamount
    2023-01-01paid492.99
    2023-01-01email37.38
    2023-01-01social200.53
    2023-01-02paid709.13
    2023-01-02email64.13

    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 DESC to 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;

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