1. Lighthouse

Level 8 · Debug: too many holiday coupon orders

The request

From Lauren Hayes, Email Marketing Manager

“I asked for completed web and app orders that used HOLIDAY20. Tyler's query gives me almost 4,000 orders, and plenty of them have no coupon at all. The numbers look way off. Can you fix it?”

Your goal

Fix the query. From orders, return order_id, order_date, channel, status and coupon_code for orders with coupon_code 'HOLIDAY20', channel 'web' or 'app', and status 'completed'.

  • Read from the orders tablenot done yet
  • Show exactly order_id order_date channel status coupon_codenot done yet
  • 148 rowsnot done yet

Your query

SQL

Loading the editor…

    ResultPreview of orders · press Run to see yours
    Preview of orders
    order_idcustomer_idorder_datestatuschannel
    10011252023-01-01 20:51:19completedweb
    10021562023-01-02 07:58:46completedweb
    1003222023-01-02 10:25:27completedmarketplace
    1004482023-01-02 11:21:51completedmarketplace

    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.

    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
    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
    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
    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
    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

    The query runs and returns rows that look like orders, so nothing warns you. The clue is in the ticket: orders without any coupon are in a coupon report.

    Read the WHERE the way SQL does

    AND binds tighter than OR, like * before +. The starter’s condition

    WHERE coupon_code = 'HOLIDAY20'
      AND channel = 'web'
      OR channel = 'app'
      AND status = 'completed'

    is evaluated as

    WHERE (coupon_code = 'HOLIDAY20' AND channel = 'web')
       OR (channel = 'app' AND status = 'completed')

    The second group has no coupon condition at all, so every completed app order qualifies: 3,966 rows in total. The line breaks and indentation suggest a different grouping, but the database ignores layout.

    The fix is to make the channel choice a single condition:

    WHERE coupon_code = 'HOLIDAY20'
      AND channel IN ('web', 'app')
      AND status = 'completed'

    Now 148 orders come back, every one with HOLIDAY20, a web or app channel and a completed status.

    How to spot this bug

    • A column you filtered on shows values it should not. Here coupon_code has NULLs and status has cancelled orders. Scan each filtered column in the result.
    • The count is out of proportion. HOLIDAY20 only runs December 1 to 20, and only 193 orders used it across all three years, so thousands is impossible.
    • Any WHERE with both AND and OR and no parentheses deserves a second look, even if the result seems right.

    Common mistakes

    • Fixing it by moving lines around. Order and indentation do not change precedence; only parentheses or IN do.
    • Wrapping the wrong part, such as (coupon_code = 'HOLIDAY20' AND channel = 'web') OR .... That spells out the bug instead of fixing it.
    • Checking only the row count after the fix. Also scan the result once more: every row should now show HOLIDAY20, a web or app channel and a completed status. If one column still shows an unexpected value, a condition is still in the wrong group.

    In SQL Server

    AND binds before OR there too, so the starter has the same bug in SQL Server, MySQL, Postgres and every other database. The fix is identical, and IN is standard SQL everywhere:

    WHERE coupon_code = 'HOLIDAY20'
      AND channel IN ('web', 'app')
      AND status = 'completed';

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