lesson 03 Filtering & sorting · beginner
Filter with WHERE
Keep only rows that meet a condition.
the idea
WHERE keeps only rows whose condition is true. Text values go in single quotes and must match exactly. The filter runs before the SELECT list is produced, so you can filter on a column you do not return.
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.
orders6 columns · 6,722 rows
| order_idnumber · unique id | invoice_notext | customer_idnumber · links to customers | ordered_atdate & time | countrytext | order_typetext |
|---|---|---|---|---|---|
| 1 | 489438 | 18102 | 2009-12-01 09:24:00 | United Kingdom | sale |
| 2 | 489517 | 16329 | 2009-12-01 11:34:00 | United Kingdom | sale |
| 3 | C489528 | 16714 | 2009-12-01 11:50:00 | United Kingdom | cancellation |
| 4 | 489529 | 17984 | 2009-12-01 11:51:00 | United Kingdom | sale |
| 5 | 489532 | 13394 | 2009-12-01 11:58:00 | United Kingdom | sale |
| 6 | 489540 | 12913 | 2009-12-01 12:18:00 | United Kingdom | sale |
- order_idnumber · unique id
- 1
- invoice_notext
- 489438
- customer_idnumber · links to customers
- 18102
- ordered_atdate & time
- 2009-12-01 09:24:00
- countrytext
- United Kingdom
- order_typetext
- sale
- order_idnumber · unique id
- 2
- invoice_notext
- 489517
- customer_idnumber · links to customers
- 16329
- ordered_atdate & time
- 2009-12-01 11:34:00
- countrytext
- United Kingdom
- order_typetext
- sale
- order_idnumber · unique id
- 3
- invoice_notext
- C489528
- customer_idnumber · links to customers
- 16714
- ordered_atdate & time
- 2009-12-01 11:50:00
- countrytext
- United Kingdom
- order_typetext
- cancellation
- order_idnumber · unique id
- 4
- invoice_notext
- 489529
- customer_idnumber · links to customers
- 17984
- ordered_atdate & time
- 2009-12-01 11:51:00
- countrytext
- United Kingdom
- order_typetext
- sale
- order_idnumber · unique id
- 5
- invoice_notext
- 489532
- customer_idnumber · links to customers
- 13394
- ordered_atdate & time
- 2009-12-01 11:58:00
- countrytext
- United Kingdom
- order_typetext
- sale
- order_idnumber · unique id
- 6
- invoice_notext
- 489540
- customer_idnumber · links to customers
- 12913
- ordered_atdate & time
- 2009-12-01 12:18:00
- countrytext
- United Kingdom
- order_typetext
- sale
first 6 of 6,722 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.
Preview the column you will filter. Run this. order_type tells you whether a row is a sale, cancellation, or adjustment.
step-1.sqlSELECT order_id, invoice_no, order_type FROM orders LIMIT 10;
Filter to one country. Run this. WHERE keeps only orders where country is Netherlands.the pattern
example.sqlSELECT order_id, invoice_no, ordered_at FROM orders WHERE country = 'Netherlands';
common mistake
Double quotes name columns in SQL. WHERE order_type = "sale" compares with a column named sale, not with the text 'sale'.