DB Quacks SQL Tutorial · Chapter 4
Pond Bouncers: The WHERE-JOIN Chronicles
Security guard goose swims over with a badge. We have VIP ponds for older ducks only! Show me visits where ducks older than 3 years went to ponds. I need to verify our access rules work correctly.
Your task
Show visits where ducks older than 3 years visited ponds, combining the ducks table with 'data/pond_visits.csv' and filtering by age. You will be joining and filtering data simultaneously.
Hint
First join the tables, then add a condition to filter for specific age criteria.
Expected result
A table showing visits by ducks older than 3 years.
Tables
duck_diaries (10 rows)
| column | type |
|---|---|
diary_id | BIGINT |
duck_id | BIGINT |
entry_date | DATE |
diary_text | VARCHAR |
mood | VARCHAR |
duck_surveys (5000 rows)
| column | type |
|---|---|
survey_id | BIGINT |
duck_id | BIGINT |
age | BIGINT |
favorite_food | VARCHAR |
favorite_pond | BIGINT |
swimming_rating | BIGINT |
migration_preference | VARCHAR |
social_behavior | VARCHAR |
health_status | VARCHAR |
activity_level | VARCHAR |
survey_date | DATE |
survey_location | BIGINT |
ducks (15 rows)
| column | type |
|---|---|
id | BIGINT |
name | VARCHAR |
age | BIGINT |
species | VARCHAR |
birth_date | DATE |
arrival_date | DATE |
ponds (3 rows)
| column | type |
|---|---|
pond_id | BIGINT |
pond_name | VARCHAR |
location_lat | DOUBLE |
location_lng | DOUBLE |
capacity | BIGINT |
features | VARCHAR[] |
amenities | VARCHAR[] |
Files
data/pond_visits.csv (40 rows)
| column | type |
|---|---|
visit_id | BIGINT |
duck_id | BIGINT |
pond_id | BIGINT |
visit_date | DATE |
duration_minutes | BIGINT |
Database: https://dbquacks.com/data/databases/tutorial.duckdb
This page as markdown: https://dbquacks.com/tutorial/18.md