How to Quickly Create a Test Database

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • chinook-database

    Sample database for SQL Server, Oracle, MySQL, PostgreSQL, SQLite, DB2

  • schemacrawler/chinook-database builds on the earlier project. The project has an automatic build using GitHub Actions, which pulls scripts from lerocha/chinook-database, cleans them up, and converts them all to UTF-8 with consistent line-endings. Then are are repacked and redistributed in various ways - as a Java jar file for use in Java programs or in tests with database in Testcontainers. The SQLite database can be directly download from the project site. But probably the best way to use the package it is use the Docker image from schemacrawler/chinook-database to create the Chinook database on a database of your choice, whether the database server is running on a separate host or within a Docker container itself.

  • chinook-database

    Chinook database packaged as a jar, for use in Java and with Testcontainers (by sualeh)

  • schemacrawler/chinook-database builds on the earlier project. The project has an automatic build using GitHub Actions, which pulls scripts from lerocha/chinook-database, cleans them up, and converts them all to UTF-8 with consistent line-endings. Then are are repacked and redistributed in various ways - as a Java jar file for use in Java programs or in tests with database in Testcontainers. The SQLite database can be directly download from the project site. But probably the best way to use the package it is use the Docker image from schemacrawler/chinook-database to create the Chinook database on a database of your choice, whether the database server is running on a separate host or within a Docker container itself.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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