repository-guide

To implement a multi-tenant repository pattern in Backend.AI, use base utilities like Creator, Querier, and Updater to delegate DB sources and apply scope objects for tenant filtering. This ensures consistent operations and clean public APIs across domain-specific repositories.

A standard Backend.AI repository includes six core operations: create, get, search, update, delete, and purge, along with batch variants like batch_update and batch_delete. These operations ensure consistent data access and testability across domain entities.

To test repository patterns in Backend.AI with real databases, follow the tdd-guide workflow and write tests that reflect the repository pattern in __init__ initializations. This approach validates consistent operations and scope handling in multi-tenant environments.

Yes, the Backend.AI repository pattern supports batch operations including batch_update, batch_delete, and batch_purge. These batch variants extend the six core CRUD operations to handle bulk data modifications efficiently within domain-specific repositories.

Yes, you can use Backend.AI repositories for domain entities like user groups and projects. The blueprint provides concrete implementations that delegate to DB sources and support testing with real databases for these common domain use cases.

Building a Backend.AI repository requires base utilities such as Creator, Querier, BatchQuerier, Updater, and Purger. These utilities handle standardized data access operations and maintain clean public APIs for multi-tenant scope filtering.