Master Hibernate and JPA with Spring Boot in 100 Steps - Step 86 - Performance Tuning - Avoid N+1 Problems

The video tutorial addresses the N+1 problem in Hibernate, a common performance issue where multiple queries are executed to retrieve related data. It explains the problem with examples and explores three solutions: eager fetch, entity graph, and join fetch. Eager fetch retrieves all related data at once but can be inefficient if not all data is needed. Entity graph allows selective loading of related data, improving performance. Join fetch uses SQL joins to retrieve related data in a single query. The tutorial demonstrates how to implement these solutions to optimize database interactions.

What is the N + 1 problem in the context of Hibernate?

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Explain the difference between lazy fetching and eager fetching.

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How can the N + 1 problem be solved using eager fetching?

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What are the consequences of using eager fetching for retrieving courses and students?

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What is the purpose of using an entity graph in Hibernate?

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Describe the process of creating a named query with join fetch.

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What are the two solutions discussed for solving the N + 1 problem?

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