Master Hibernate and JPA with Spring Boot in 100 Steps - Step 72 - Hibernate and JPA Caching-First-Level Cache

The video tutorial explains the concept of the first level cache in the context of a transaction using the Spring Framework. It demonstrates how data retrieval is optimized by caching within a transaction, preventing repeated database queries. The tutorial highlights the importance of transaction boundaries and how they affect cache efficiency. It also provides insights into optimizing cache usage by aligning transaction boundaries with service methods.

What is the purpose of adding a transactional annotation in the course repository test?

• To ensure the test runs within a transaction boundary

• To increase the speed of database queries

• To allow multiple users to access the test simultaneously

• To prevent any changes to the database

When retrieving the same data twice within a transaction, what is observed?

• The transaction is automatically terminated

• A new query is fired each time

• The data is retrieved from the cache the second time

• The data retrieval fails the second time

What happens if a transactional annotation is not used?

• Each method call runs within its own transaction

• The application crashes

• The database is not accessed at all

• The data is cached across multiple transactions

Why is it important to define the transaction boundary?

• To increase the number of database queries

• To prevent data from being cached

• To allow multiple transactions to run simultaneously

• To ensure data is cached efficiently

What is the ideal place to start and end a transaction?

• In the configuration files

• In the service methods

• At the user interface

• Within the database layer

What is the main benefit of using a first level cache?

• It slows down the application

• It allows for more data to be stored

• It increases the complexity of transactions

• It reduces the need for database queries

How does the first level cache operate within a transaction?

• It caches data across all transactions

• It does not cache any data

• It caches data only within a single transaction

• It caches data based on user preferences