DB Quacks SQL Tutorial · Chapter 7
Cloud Atlas: The Remote Awakening
Captain Cosmos floats down in a silver space suit. Greetings from the Cloud Galaxy! I discovered massive datasets in cloud storage - too huge to download! DuckDB has interdimensional powers - query cloud data directly using httpfs extension!
Your task
Install the httpfs extension and query a remote CSV file directly from cloud storage. The file is located at https://data.dbquacks.com/cloud_ducks.csv. You will be accessing data from the cloud without downloading it.
Hint
First you need to install and load an extension, then use a URL instead of a local file path.
Expected result
A table showing cloud duck data loaded via httpfs extension.
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[] |
Database: https://dbquacks.com/data/databases/tutorial.duckdb
This page as markdown: https://dbquacks.com/tutorial/35.md