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Скачать или смотреть How to Fix flask db migrate Not Updating Column Settings in Your Flask Application

  • vlogize
  • 2025-07-30
  • 4
How to Fix flask db migrate Not Updating Column Settings in Your Flask Application
flask db migrate do not change column settingpythonflasksqlalchemyflask migrate
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Описание к видео How to Fix flask db migrate Not Updating Column Settings in Your Flask Application

Learn how to resolve issues with `flask db migrate` not reflecting changes in column settings in your Flask application using SQLAlchemy and Flask-Migrate.
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This video is based on the question https://stackoverflow.com/q/67973067/ asked by the user 'Emil Haas' ( https://stackoverflow.com/u/14098117/ ) and on the answer https://stackoverflow.com/a/67983660/ provided by the user 'Miguel Grinberg' ( https://stackoverflow.com/u/904393/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: flask db migrate do not change column setting

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding the Problem: Flask DB Migrate Not Updating Column Settings

If you've worked with Flask, SQLAlchemy, and Flask-Migrate, you may have encountered a frustrating issue: after attempting to change the size of a column in your database model, the changes do not get reflected after running the migration commands. This can lead to annoying errors, such as sqlalchemy.exc.DataError, which indicates that the data being inserted exceeds the current column length.

For instance, you might have initially defined your Candidate model like this:

[[See Video to Reveal this Text or Code Snippet]]

If you later increased the size of the name and interviewer columns:

[[See Video to Reveal this Text or Code Snippet]]

You would run the classic migration commands:

[[See Video to Reveal this Text or Code Snippet]]

However, if after these commands you still encounter the same error related to data truncation, something isn't working as it should.

The Root Cause of the Issue

The underlying problem lies with Alembic, the migration engine utilized by Flask-Migrate. By default, Alembic does not track changes to column types, which means if you increase the character limit from 32 to 64, it may not recognize that change and ignore it when creating migration scripts.

To confirm if your changes were ignored, you can look at the generated migration script. If it doesn’t include any instructions to modify the column type, that's where your issue lies.

Step-by-Step Solution

To address this issue and ensure that column type changes are picked up during your migrations, follow these steps:

1. Configure Alembic with compare_type=True

Modify the initialization of your Migrate object in your application to include the parameter compare_type=True. This setup instructs Alembic to monitor changes in column types. Your code should look similar to this:

[[See Video to Reveal this Text or Code Snippet]]

2. Regenerate Your Migration

Once you've made the change in your Migrate configuration, the next step is to regenerate your migration script. Run the following command:

[[See Video to Reveal this Text or Code Snippet]]

3. Upgrade Your Database

After regenerating the migration script, apply the changes to your database schema by running:

[[See Video to Reveal this Text or Code Snippet]]

4. Verify the Fix

Finally, check if the issue has been resolved. Attempt to insert data into your updated columns. If the data fits within the specified limit (e.g., 64 characters for name and interviewer), you should no longer encounter the truncation error.

Conclusion

Resolving issues related to flask db migrate not updating column settings can be challenging, but by ensuring that Alembic is properly configured to track column type changes, you'll effectively avoid data truncation errors and maintain the integrity of your database schema.

Next time you face a similar predicament, remember these steps and safeguard your application from unnecessary roadblocks!

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