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Filter Data Collections

Oso supports applying authorization logic at the ORM layer so that you can efficiently authorize entire data sets. For example, suppose you have millions of posts in a social media application created by thousands of users, and regular users are only authorized to view posts from their friends. It would be inefficient to fetch all of the posts and authorize them one by one. It would be much more efficient to distill from the policy a filter that can be applied by the ORM to return only the authorized posts. This idea can be used in any scenario where you need to authorize a subset of a large collection of data.

The Oso policy engine can now produce such filters from your policy with our Django & SQLAlchemy integrations. For more information on how data filtering works, head over to our explanation of Oso’s internals.

To get started with data filtering in Django or SQLAlchemy, follow one of the guides below.

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If you have any questions, or just want to talk something through, jump into Slack. An Oso engineer or one of the thousands of developers in the growing community will be happy to help.