| Name | Size | License | Age | Last Published |
|---|---|---|---|---|
| umzug | 33.03 kB | MIT | 9 Years | 3 Aug 2023 |
| sqlite | 23.23 kB | MIT | 12 Years | 11 Jul 2023 |
| db-migrate | 26.37 kB | MIT | 12 Years | 7 Sep 2023 |
| migrate | 11.8 kB | MIT | 12 Years | 29 May 2023 |
| node-pg-migrate | 62.08 kB | MIT | 9 Years | 30 Jun 2022 |
| elasticdump | 42.12 kB | Apache-2.0 | 10 Years | 1 Jun 2023 |
| db-migrate-pg | 10.09 kB | MIT | 8 Years | 12 Sep 2023 |
| jquery-migrate | 156.38 kB | MIT | 8 Years | 23 Feb 2023 |
| postgrator | 13.1 kB | MIT | 11 Years | 9 Jul 2023 |
| mongodb-migrations | 18.76 kB | MIT | 9 Years | 16 Jan 2017 |
| vuera | 9.46 kB | MIT | 6 Years | 27 Jan 2020 |
| json-schema-migrate | 7.92 kB | MIT | 6 Years | 28 Mar 2021 |
| db-migrate-base | 7.92 kB | MIT | 8 Years | 26 Dec 2020 |
| migrate-mongoose | 10.35 kB | MIT | 7 Years | 7 Jul 2019 |
| jest-codemods | 44.27 kB | MIT | 7 Years | 22 Mar 2023 |
Database migration tools are especially useful in the following scenarios:
Application Changes: When changes to the application require adjustments to the database schema or data, database migration tools can help manage these changes in a controlled manner.
Version Control: They enable version control for your database in a similar way to how npm packages are versioned. This is essential when working in a team environment or when the application goes through multiple stages, such as development, testing, production etc.
DevOps and Continuous Integration: In a DevOps environment with a continuous integration/continuous delivery (CI/CD) pipeline, you can automate database changes using scripts and migration tools in the build and deployment processes.
Multi-platform and Multi-database Approaches: When dealing with heterogeneous systems, migration tools can provide standards and normalization across the board.
Database migration tools usually offer the following features and functionalities:
Schema Migration: They handle changes in the database structure. This could range from the modification of tables and fields to more complex relations and constraints.
Data Migration: They oversee and manage the transfer of data from the existing database to the new one while maintaining or improving data integrity.
Version Control: They basically keep track of all changes, letting developers 'rollback' changes or switch between database versions like you would do with a version control system for code.
Script Generation: Scripts for migration, backup, roll back, etc. are often automatically generated.
Upgrade or Degrade Database Schema: These tools allow developers to upgrade or degrade database schema at will, which is particularly useful when testing.
Database Seeding: They often provide support for 'seeding' the database with initial data, often used in testing environments.
When using database migration tools, here are some potential pitfalls to look out for:
Script Consistency: Always ensure script consistency across all environments to avoid unnecessary bugs or conflicts in different environments.
Wrong Execution Order: Be careful of the order in which scripts are executed. The whole system might crash if scripts are implemented in the wrong order.
Ignoring Testing: It's critical to thoroughly test scripts prior to implementing and committing to them to reduce the risk of data loss or data corruption.
Inconsistent Database States: Keep an eye on database states for each version. Inconsistent states might make some versions unusable.
Dependency Management: If working with npm packages, make sure dependencies are well managed to avoid versioning conflicts with the packages and the database migration tools.
Remember, reviewing migration scripts generated by the database tool is essential as they hold the potential to create destructive changes. Be thorough, test carefully, and always have a backup strategy in hand.
