1. Lighthouse

Level 1 · Set up a supplier import table

The request

From Tyler Morgan, Junior Data Engineer

“A new lighting supplier emailed five products. Before we load anything into the catalog, can you put them in an import table and flag the ones that need a second look? One of them came without a price.”

Your goal

Create a table supplier_import with columns import_id INTEGER PRIMARY KEY, product_name VARCHAR, category VARCHAR, unit_price DECIMAL(10, 2) and received_on DATE. Keep the four rows in the starter's INSERT and add a fifth: (5, 'Wren Ceramic Table Lamp', 'Lighting', NULL, '2025-11-04'). Finish with a SELECT returning import_id, product_name, unit_price and review_status ('missing price' when unit_price is NULL, 'needs approval' when unit_price is above 500, otherwise 'ok'), sorted by import_id.

  • Show exactly import_id product_name unit_price review_statusnot done yet
  • 5 rows, sorted as askednot done yet

Your query

SQL

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

    Tables

    Harbor & Pine store data, ready to query.

    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
    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

    Most of SQL is reading tables that someone else built. This chapter is about building your own. The first two statements you need are CREATE TABLE, which defines a table’s columns, and INSERT, which puts rows into it.

    CREATE TABLE

    A table definition lists each column with a data type:

    CREATE TABLE supplier_import (
      import_id INTEGER PRIMARY KEY,
      product_name VARCHAR,
      category VARCHAR,
      unit_price DECIMAL(10, 2),
      received_on DATE
    );

    The type decides what the column accepts and how it behaves. INTEGER holds whole numbers, VARCHAR holds text, DATE holds a calendar day, and DECIMAL(10, 2) holds exact numbers with up to 10 digits, 2 of them after the decimal point. Money always goes in DECIMAL, never in a floating-point type, because floats store binary approximations: 0.1 + 0.2 is not exactly 0.3 in a DOUBLE.

    PRIMARY KEY means every import_id must be present and unique. Insert a second row with id 3 and the database refuses it with a constraint error. That is the point: keys are how tables join, so the database protects them.

    INSERT INTO … VALUES

    INSERT INTO supplier_import VALUES
      (1, 'Harlow Brass Pendant', 'Lighting', 189.00, '2025-11-03'),
      (5, 'Wren Ceramic Table Lamp', 'Lighting', NULL, '2025-11-04');

    Each parenthesized list is one row, with values in the same order as the columns. Text and dates go in single quotes, numbers do not, and a missing value is written NULL without quotes. 'NULL' in quotes would be a four-letter string, not a missing value.

    When you only fill some columns, name them, and the rest become NULL (or their default):

    INSERT INTO supplier_import (import_id, product_name) VALUES (6, 'Sample Lamp');

    Naming the columns is also safer in general: the insert keeps working if someone adds a column later.

    Read it back

    After any change, query the table to confirm it holds what you expect. Here the final SELECT adds a review flag. The CASE checks for the missing price first, because a NULL price is neither above nor below 500: NULL > 500 is unknown, and an unknown condition never matches a WHEN.

    In this game every run is rolled back afterwards, which is why the solution creates the table each time. On a real database the table would stay until someone drops it.

    Common mistakes

    • Quoting numbers or forgetting quotes around text and dates. '189.00' usually still converts, but Lighting without quotes is read as a column name and fails.
    • Putting values in the wrong column order. VALUES follows the table’s column order unless you list the columns.
    • Writing 'NULL' or an empty string '' for a missing value. Both are real values, so IS NULL will not find them.
    • Using FLOAT or DOUBLE for prices.

    In SQL Server

    The same table in T-SQL usually uses NVARCHAR(100) for text (Unicode) and often an IDENTITY column that numbers rows for you:

    CREATE TABLE dbo.SupplierImport (
      ImportID INT IDENTITY(1,1) PRIMARY KEY,
      ProductName NVARCHAR(100),
      UnitPrice DECIMAL(10,2)
    );

    DuckDB’s VARCHAR needs no length, and INSERT INTO ... VALUES with several rows works the same in both.

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