1. Lighthouse

Level 2 · The 10 most recent orders

The request

From Rachel Adams, Customer Support Lead

“I want a live view of the newest orders on my team's screen. Just the 10 most recent ones, with the customer and channel.”

Your goal

From orders, return order_id, customer_id, order_date and channel for the 10 most recent orders. Sort by order_date newest first, then by order_id descending to break ties. Return exactly 10 rows.

  • Read from the orders tablenot done yet
  • Show exactly order_id customer_id order_date channelnot done yet
  • 10 rows, sorted as askednot 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

    LIMIT n keeps only the first n rows of the result. Combined with ORDER BY, it answers every “top N” question:

    SELECT order_id, order_date
    FROM orders
    ORDER BY order_date DESC, order_id DESC
    LIMIT 10;

    The database sorts all rows, then cuts the list after ten. Without ORDER BY, LIMIT 10 gives you ten arbitrary rows, which is fine for peeking at a table and wrong for anything else.

    Why the tie-breaker matters even more here

    If the 10th and 11th newest orders have the same timestamp, which one makes the cut? Without a tie-breaker, it is up to the database, and the answer can change between runs. With order_id DESC as the second sort key, the result is fully determined. In a report shared with a team, a top-10 list that changes on refresh with no new data is a quick way to lose trust.

    Dialects

    database syntax
    Postgres, DuckDB, MySQL, BigQuery, Snowflake LIMIT 10
    SQL Server SELECT TOP 10 ...
    SQL standard, Oracle, Postgres, DuckDB FETCH FIRST 10 ROWS ONLY

    LIMIT is what you will see in most analytics job interviews.

    Top N with ties

    Sometimes the business wants “everyone tied for the top spot”, not exactly 10 rows. Postgres 13+ supports FETCH FIRST 10 ROWS WITH TIES. The portable way is a window function such as RANK(), covered in chapter 8. For now, know that LIMIT always returns exactly n rows (or fewer if the table is smaller), whatever the ties.

    LIMIT does not always save work

    In DuckDB, BigQuery or Snowflake, SELECT * FROM big_table LIMIT 10 can still scan a lot of data, and in BigQuery you are billed for the full columns scanned regardless of the LIMIT. To explore cheaply there, select fewer columns or use table preview.

    Common mistakes

    • LIMIT before ORDER BY. It must come last.
    • Taking the “top 10 customers” from an unsorted query.
    • Using LIMIT to make a slow query fast while developing, then forgetting to remove it before sharing the numbers. If a total looks suspiciously small, look for a leftover LIMIT.