In a high-load Spring Boot application, how does connection pooling optimize the performance?
- By enabling distributed caching.
- By increasing the size of the database server.
- By reducing the number of database connections and reusing them efficiently.
- By using NoSQL databases instead of traditional SQL databases.
Connection pooling optimizes performance by managing a pool of database connections, which reduces the overhead of creating and closing connections for each database request. This results in improved performance because it ensures efficient reuse of connections, minimizing the impact on the database server and reducing the overall resource consumption. High-load applications benefit significantly from connection pooling as it prevents exhausting database resources and mitigates latency.
Loading...
Related Quiz
- How does Spring Boot support reactive programming in conjunction with traditional MVC patterns?
- What components are typically scanned and loaded when a test is annotated with @DataJpaTest in Spring Boot?
- How can @ControllerAdvice be used to customize the response body of a global exception handler?
- In Spring Boot, how do you customize the behavior of a mocked object for specific arguments using Mockito?
- Which annotation is mainly used to handle HTTP GET requests in a Spring Boot application?