Talk Python To Me #432: Migrating to Pydantic 2.0: Beanie for MongoDB
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Oct 6, 2023 Samual Colvin and his team spent a year refactoring Pydantic into a high-performance Rust version. They discuss migrating Beanie, a MongoDB async framework, from Pydantic v1 to v2. Topics include advantages of using MongoDB, creating a common class for MongoDB collections, and challenges of migrating to Pydantic 2.0.
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MongoDB's Document Database Advantage
- MongoDB offers flexibility with nested documents, unlike rigid SQL tables.
- This simplifies development by mirroring application data structures directly in the database.
MongoDB for Playful Projects
- Roman Wright enjoys MongoDB for small, playful projects due to its flexible schema.
- He finds the constant migrations required by SQL databases for schema changes annoying during experimentation.
Community-Driven Improvement: Indexes in Beanie
- Michael Kennedy's early feedback on Beanie led to the crucial addition of indexes.
- This highlights the value of community feedback in open-source project development.