Spring Boot JPA First Level Cache (Persistence Context) || CodeTav Management
Why is Hibernate executing a database query in one method, but totally ignoring the database in another? It's not a bug—it's the JPA First Level Cache!
In this deep dive, we explore the Persistence Context in Spring Boot. The First Level Cache is enabled by default and is the secret weapon for massive performance gains in enterprise applications. We break down exactly how the EntityManager works, how Spring scopes it per HTTP request, and why fetching the same record multiple times (like in a banking KYC/Loan scenario) only results in a single SQL query.
Finally, we cover the 4 Entity States (New, Managed, Detached, Removed) and answer the most common Spring Boot interview questions regarding JPA caching.
What you will learn in this video:
What the JPA First Level Cache actually is (Persistence Context)
How the EntityManager lifecycle dictates cache survival
Tracing Hibernate SQL logs to prove cache hits
The real-world banking scenario for L1 Cache optimization
How to manually clear, detach, or refresh the cache
The crucial difference between First Level and Second Level Cache
Top 6 JPA Interview Questions answered!
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