Artist
180 rows
- ArtistIdint · key
- Nametext
A hose dataset · canonical
The same music store, the same tables you know. The invoices kept coming.
3,953,160 rows · last row 3 minutes ago
The receipt
The whole dataset grows from this one seed. Everyone who downloads it gets the same rows with the same ids, today and next month, so whatever you build on it keeps working after the data refreshes.
The schema is Luis Rocha's Chinook, reused under the MIT License. The license includes its notice. This dataset is not affiliated with or endorsed by Luis Rocha.
Invoices per day, last 90 days
Schema · 11 tables
180 rows
903 rows
10,793 rows
6 rows
5 rows
18 rows
2,904 rows
4 rows
25,249 rows
823,138 rows
3,089,960 rows
Why this one
The Chinook everyone downloads was frozen in 2013. Every tutorial built on it teaches from a business where nothing has happened in over a decade, and every chart it produces falls off the same cliff.
This one runs on hose. The catalogue and the sales pattern match the original, and the sales continue through this morning. Retention curves have a today. Month-over-month comparisons include this month. Regenerate it with the same seed and every id and timestamp returns exactly as it was, so anything you build against it keeps reconciling.
Chinook was published with scripts for several engines, including SQL Server. The CSV bundle has one file per table that SQL Server’s flat-file import can load, and the schema above lists their columns and types.
The other datasets