What are some performance tips for SQLAlchemy?
An example of an AI chatbot conversation about SQLAlchemy performance optimization tips.
What are some performance tips for SQLAlchemy?
To improve SQLAlchemy performance, consider using lazy loading, optimizing queries, and using connection pooling.
Can you explain lazy loading and how it helps?
Lazy loading defers the loading of related data until it's actually needed, reducing initial load times and memory usage.
What about connection pooling? How does that work?
Connection pooling reuses database connections, which reduces the overhead of establishing new connections for each request.
Are there any specific query optimization techniques you recommend?
Yes, use indexed columns, avoid SELECT *, and leverage SQLAlchemy's query options like options and with_polymorphic.
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