DB Quacks SQL Tutorial · Chapter 3
Parquet and Recreation
Data engineer badger approaches with a hard hat and massive laptop. We discovered huge migration files in Parquet format! Millions of duck travel records in high-performance format. These are super fast to read!
Your task
Read and display the contents of the migration data file 'data/migration_history.parquet'. You will be working with a large dataset containing duck migration records.
Hint
Look for a function that can read Parquet files directly.
Expected result
A table showing all migration data from the Parquet file.
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/migration_history.parquet (20 rows)
| column | type |
|---|---|
duck_id | BIGINT |
migration_date | DATE |
destination | VARCHAR |
distance_km | DOUBLE |
season | VARCHAR |
Database: https://dbquacks.com/data/databases/tutorial.duckdb
This page as markdown: https://dbquacks.com/tutorial/16.md