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Sample database for MySQL, Oracle, PostgreSQL, SQLite, and SQL Server. Based on data from the Netflix Engagement Report and the Netflix Global Top 10 weekly list, it includes movies and TV shows for learning and practice purposes.
Download the SQL scripts from the latest release assets. One or more SQL script files are provided for each database vendor supported. You can run these SQL scripts with your preferred database tool.
-- Movies released since 2024-01-01select id, title, runtime from movie where release_date >='2024-01-01';
-- TV Show Seasons released since 2024-01-01selects.id, s.titleas season_title, s.season_number, t.titleas tv_show, s.runtimefrom season s left join tv_show t ont.id=s.tv_show_idwheres.release_date>='2024-01-01';
-- Top 10 movies (English)selectv.view_rank, m.title, v.hours_viewed, m.runtime, v.views, v.cumulative_weeks_in_top10from view_summary v
inner join movie m onm.id=v.movie_idwhere duration ='WEEKLY'and end_date ='2025-06-29'andm.locale='en'order byv.view_rank;
-- Engagement reportselectm.title, m.original_title, m.available_globally, m.release_date, v.hours_viewed, m.runtime, v.viewsfrom view_summary v
inner join movie m onm.id=v.movie_idwhere duration ='SEMI_ANNUALLY'and start_date ='2024-01-01'order byv.view_rankasc;
The database schema is defined in these entity classes, and it gets auto-generated when the application starts up.
After start-up, the application uses Spring Batch to run a batch job to populate the database based on the Netflix spreadsheet reports, and then exports the database schema and data to a SQL script.
The generated SQL scripts will be in the build/artifacts folder:
open ./build/artifacts
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Sample database for MySQL, Oracle, PostgreSQL, SQLite, and SQL Server. Based on data from the Netflix Engagement Report and the Netflix Global Top 10 weekly list, it includes movies and TV shows for learning and practice purposes.