EasySQL challenge #37WHERE

Large Orders

Find orders with item_count greater than 5.

The challenge runs on the SQLabHub practice database (SQLite) and uses the orders table. You can solve it in the browser, with nothing to install.

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The task

Find orders with item_count greater than 5.

A correct answer returns 23 rows with 10 columns: id, user_id, total, discount, item_count, status, order_date, shipped_date, shipping_city, shipping_country.

Tables used in this challenge

orders 200 rows

id INTEGER (PK) · user_id INTEGER · total REAL · discount REAL · item_count INTEGER · status TEXT · order_date TEXT · shipped_date TEXT · shipping_city TEXT · shipping_country TEXT

First 3 rows of the orders table
iduser_idtotaldiscountitem_countstatusorder_dateshipped_dateshipping_cityshipping_country
1432638.110.253cancelled2024-04-24NULLLos AngelesUSA
2829470.195delivered2024-03-152023-04-09ChicagoUSA
3136683.240.082delivered2023-02-152023-07-10Los AngelesUSA

The first rows of each table are shown. See how all the tables relate on the database schema page.

Expected output

Expected output of the challenge
iduser_idtotaldiscountitem_countstatusorder_dateshipped_dateshipping_cityshipping_country
331244487.940.016shipped2023-09-232023-09-20DallasUSA
39101264.930.196delivered2023-12-152024-04-25JacksonvilleUSA
431264063.20.216shipped2023-08-202023-09-04San FranciscoUSA
55371087.10.246processing2023-06-13NULLAustinUSA
56874915.010.186delivered2024-11-172023-07-12JacksonvilleUSA

First 5 of 23 rows. This is the output of the model solution on the practice database. The task does not fix a sort order, so your rows may come back in a different order.

What you practise

  • Returning every column of a table with SELECT *
  • Filtering rows with a WHERE condition

Hint and approach

Try the challenge first. Open these only when you need them.

Show the hint

Use WHERE

Show the step-by-step approach

How the model solution is built, in the order the database evaluates it:

  1. Read from the orders table.
  2. Filter in WHERE: keep the rows where item_count is greater than 5.
  3. Return every column with SELECT *.

Model solution

Checking your session…

What to watch for

  • WHERE. WHERE is evaluated before the SELECT list, so it cannot use a column alias defined there or the result of an aggregate.
  • SELECT *. SELECT * is fine for exploring, but its output changes whenever a column is added to the table. Queries that feed a report should name their columns.
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