How can I optimize my ORM migrations for better performance?
To optimize your ORM migrations, consider using batch processing, indexing, and minimizing data transformations.
What are some common pitfalls to avoid during migrations?
Common pitfalls include not testing migrations in a staging environment, failing to back up data, and ignoring performance impacts.
Can you explain how indexing helps with migration performance?
Indexing speeds up data retrieval, which can significantly reduce the time it takes to apply migrations, especially on large datasets.
Are there any tools that can help with ORM migrations?
Yes, tools like Alembic for SQLAlchemy and Django's built-in migration framework can help manage and optimize migrations.
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