To merge MySQL Workbench (*.mwb) diagrams with Git, you can convert the .mwb file into a text representation using the mysqldump utility, and then manage the text files through Git version control. This approach allows you to track changes to the database schema using Git and collaborate with team members more efficiently.

Here's how you can do it:

Step 1: Convert .mwb to Text Representation Use the mysqldump utility with the --all-databases and --routines options to export the schema and routines from the MySQL Workbench model to a text file.

mysqldump --no-data --all-databases --routines > my_schema.sql

This command exports the schema and routines from all databases to the my_schema.sql file. If you want to export the schema for a specific database, replace --all-databases with the database name.

Step 2: Initialize Git Repository Create a new Git repository in your project folder (if not already done) or use an existing one.

git init

Step 3: Commit the Schema to Git Add the my_schema.sql file to the Git repository and commit it.

git add my_schema.sql git commit -m "Initial database schema"

Step 4: Collaborate with Your Team Now that you have the database schema tracked in your Git repository, you can collaborate with your team members using Git's version control features. When someone makes changes to the schema, they can commit and push the changes to the Git repository, and other team members can pull those changes to update their local copies.

Remember that the text representation of the schema is human-readable but not always easy to work with directly, especially for large databases. However, it allows for effective version control and collaboration using Git. If you need to make changes to the schema, use MySQL Workbench to modify the .mwb file, then repeat Step 1 to convert the updated model to a text representation and commit it to Git.

Alternatively, consider using database migration tools like Flyway or Liquibase to manage schema changes as incremental SQL scripts. These tools are designed to handle database schema versioning and migration, making it easier to apply changes to the schema over time while keeping track of the version history.

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