lesson 01 SQL foundations · beginner
Meet your first SELECT
Choose columns and read rows from a table.
the idea
A table is a set of rows with named columns. SELECT lists the columns you want; FROM names the table that holds them. In Retail, every row of customers is one identified wholesale customer and every row of products is one stock code. A query reads rows; it never changes them.
Dataset: Retail
The tables the challenges use, with their first 6 rows. Under each column name: the kind of value it holds, and which table it links to.
customers4 columns · 848 rows
| customer_idnumber · unique id | countrytext | regiontext | first_order_atdate & time |
|---|---|---|---|
| 12347 | Iceland | Europe | 2010-10-31 14:20:00 |
| 12353 | Bahrain | Rest of World | 2010-10-27 12:44:00 |
| 12359 | Cyprus | Europe | 2009-12-05 13:32:00 |
| 12373 | Austria | Europe | 2010-02-04 12:08:00 |
| 12374 | Austria | Europe | 2010-04-30 14:01:00 |
| 12384 | Switzerland | Europe | 2011-08-10 11:23:00 |
- customer_idnumber · unique id
- 12347
- countrytext
- Iceland
- regiontext
- Europe
- first_order_atdate & time
- 2010-10-31 14:20:00
- customer_idnumber · unique id
- 12353
- countrytext
- Bahrain
- regiontext
- Rest of World
- first_order_atdate & time
- 2010-10-27 12:44:00
- customer_idnumber · unique id
- 12359
- countrytext
- Cyprus
- regiontext
- Europe
- first_order_atdate & time
- 2009-12-05 13:32:00
- customer_idnumber · unique id
- 12373
- countrytext
- Austria
- regiontext
- Europe
- first_order_atdate & time
- 2010-02-04 12:08:00
- customer_idnumber · unique id
- 12374
- countrytext
- Austria
- regiontext
- Europe
- first_order_atdate & time
- 2010-04-30 14:01:00
- customer_idnumber · unique id
- 12384
- countrytext
- Switzerland
- regiontext
- Europe
- first_order_atdate & time
- 2011-08-10 11:23:00
first 6 of 848 rows · your queries use all of them
products6 columns · 5,304 rows
| stock_codetext · unique id | descriptiontext | category_idnumber · links to categories | list_pricedecimal | first_sold_atdate & time | is_merchandisenumber |
|---|---|---|---|---|---|
| 10002 | INFLATABLE POLITICAL GLOBE | 17 | 0.85 | 2009-12-01 09:08:00 | 1 |
| 10002R | ROBOT PENCIL SHARPNER | 8 | 5.17 | 2009-12-02 14:43:00 | 1 |
| 10080 | GROOVY CACTUS INFLATABLE | 17 | 0.39 | 2009-12-02 16:02:00 | 1 |
| 10109 | BENDY COLOUR PENCILS | 8 | 0.42 | 2009-12-03 12:31:00 | 1 |
| 10120 | DOGGY RUBBER | 17 | 0.21 | 2009-12-01 16:17:00 | 1 |
| 10123C | HEARTS WRAPPING TAPE | 8 | 0.65 | 2009-12-01 14:28:00 | 1 |
- stock_codetext · unique id
- 10002
- descriptiontext
- INFLATABLE POLITICAL GLOBE
- category_idnumber · links to categories
- 17
- list_pricedecimal
- 0.85
- first_sold_atdate & time
- 2009-12-01 09:08:00
- is_merchandisenumber
- 1
- stock_codetext · unique id
- 10002R
- descriptiontext
- ROBOT PENCIL SHARPNER
- category_idnumber · links to categories
- 8
- list_pricedecimal
- 5.17
- first_sold_atdate & time
- 2009-12-02 14:43:00
- is_merchandisenumber
- 1
- stock_codetext · unique id
- 10080
- descriptiontext
- GROOVY CACTUS INFLATABLE
- category_idnumber · links to categories
- 17
- list_pricedecimal
- 0.39
- first_sold_atdate & time
- 2009-12-02 16:02:00
- is_merchandisenumber
- 1
- stock_codetext · unique id
- 10109
- descriptiontext
- BENDY COLOUR PENCILS
- category_idnumber · links to categories
- 8
- list_pricedecimal
- 0.42
- first_sold_atdate & time
- 2009-12-03 12:31:00
- is_merchandisenumber
- 1
- stock_codetext · unique id
- 10120
- descriptiontext
- DOGGY RUBBER
- category_idnumber · links to categories
- 17
- list_pricedecimal
- 0.21
- first_sold_atdate & time
- 2009-12-01 16:17:00
- is_merchandisenumber
- 1
- stock_codetext · unique id
- 10123C
- descriptiontext
- HEARTS WRAPPING TAPE
- category_idnumber · links to categories
- 8
- list_pricedecimal
- 0.65
- first_sold_atdate & time
- 2009-12-01 14:28:00
- is_merchandisenumber
- 1
first 6 of 5,304 rows · your queries use all of them
worked example
Run these steps in order to see the idea before you write your own query. The step marked “the pattern” is what the challenges ask for. Running the example does not count toward progress.
See a few customers. Run this first. Each row is one customer. You get every column so you can see what the table holds before you pick any.
step-1.sqlSELECT * FROM customers LIMIT 10;
Keep only the columns you need. Same customers, but SELECT now lists just two columns—the ones you ask for.the pattern
example.sqlSELECT customer_id, first_order_at FROM customers;
common mistake
SELECT * returns every column, including ones the task did not ask for. A checked answer must return exactly the requested columns, in the requested order.