Are you prepared for questions like 'Describe the use of @RestController annotation.' and similar? We've collected 40 interview questions for you to prepare for your next Spring interview.
The @RestController annotation in Spring is a shorthand for combining @Controller and @ResponseBody. It simplifies the creation of RESTful web services by converting the return value of each method to a JSON response. When you annotate a class with @RestController, you eliminate the need to annotate every method with @ResponseBody, which makes your code cleaner and more concise. Essentially, it tells Spring to treat the class as a controller where every method returns a domain object instead of a view.
Spring Framework is a comprehensive framework for Java development, providing infrastructure support at the application level to facilitate creating high-performing, easily testable, and reusable code. It's well-known for its dependency injection, which helps in loosely coupling components and simplifying unit testing.
Some of its main features include:
Spring Boot simplifies Spring application development by eliminating the need for extensive configuration. It provides a range of out-of-the-box functionalities, such as embedded servers, default configurations, and pre-built templates, which allows developers to get up and running quickly without needing to manually configure everything from scratch. With features like Spring Boot Starters, it also offers convenient dependency management by bundling commonly used libraries and frameworks into lightweight packages. This streamlined approach lets you focus on writing your business logic rather than dealing with boilerplate code and configuration tasks.
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Spring MVC is synchronous and follows a one-request-per-thread model, which is well-suited for traditional web applications. It uses the Servlet API and is blocking by design, meaning each request is handled by a dedicated thread until the response is ready.
Spring WebFlux, on the other hand, is asynchronous and non-blocking, using a reactive programming model. It can handle many more concurrent connections with fewer resources by using event loops and is built on the Reactor project. This makes it ideal for applications that require high scalability and responsiveness, such as real-time applications.
Spring handles scheduling tasks using the @Scheduled
annotation and the TaskScheduler
interface. You can use the annotation to define when a particular method should run, specifying intervals in a cron-like syntax or as fixed delays or fixed rates. For more complex needs, such as dynamic scheduling or external configuration, you can implement a SchedulingConfigurer
to customize task scheduling. The underlying mechanism relies on thread pools managed by Spring to ensure tasks run efficiently and concurrently.
Creating custom annotations in Spring involves defining the annotation with @interface
and then using it where needed. You can also add meta-annotations like @Component
, @Configuration
, etc., to integrate them within the Spring context. For example, you might create a custom annotation for a special component:
java
@Target(ElementType.TYPE)
@Retention(RetentionPolicy.RUNTIME)
@Component
public @interface MyCustomComponent {
String value() default "";
}
Then you can use @MyCustomComponent
in your Spring beans which you'd like to mark with that annotation. Spring will treat those classes as components if it's properly configured for component scanning. Functionally, you can also create custom annotations to handle aspects, for example, by combining with Spring AOP to add behaviors like logging or transaction management.
java
@Aspect
@Component
public class MyCustomAspect {
@Before("@within(MyCustomComponent)")
public void beforeAdvice(JoinPoint joinPoint) {
// implement the advice logic
}
}
This sets up a before advice that's triggered for all methods within classes annotated with @MyCustomComponent
.
Message converters in Spring MVC are used to handle the conversion between HTTP requests and responses and Java objects. When a request comes in, a message converter can read the request body and convert it to a POJO (Plain Old Java Object) that the controller can work with. Similarly, when a controller returns data, a message converter can take this data and convert it into an appropriate response format like JSON or XML. This process allows for a seamless handling of data formats and is essential for RESTful APIs. Various message converters are available in Spring, such as MappingJackson2HttpMessageConverter
for JSON and Jaxb2RootElementHttpMessageConverter
for XML.
Spring IoC (Inversion of Control) is a principle where the control of object creation and management is given to the container instead of the developer. Essentially, the framework handles the lifecycle and configuration of application objects, making the code more modular and easier to test.
Dependency Injection (DI) is a design pattern under IoC where the dependencies required by an object are provided externally rather than the object creating them itself. This can be done via constructor injection, setter injection, or field injection. DI promotes loose coupling and enhances the maintainability of the application. In Spring, beans and their dependencies are defined in configuration files or annotations, and the framework automatically wires them together.
Spring Data JPA is a part of the larger Spring Data project that simplifies database access and provides a consistent programming model. It leverages Java Persistence API (JPA) to interact with relational databases, and it aims to significantly reduce the amount of boilerplate code required to implement data access layers.
Its advantages include simplifying CRUD operations, providing powerful query capabilities via method names and an easy-to-use query language, and offering seamless integration with Spring's dependency injection and transaction management. It also helps in implementing custom repositories and reducing development time, making the data access layer more maintainable and readable.
Spring AOP is a programming paradigm that allows you to separate cross-cutting concerns, like logging or security, from the main business logic of your application. This helps in keeping the code cleaner and more modular. You can use it to define aspects, which are modules that encapsulate behaviors affecting multiple classes, like logging across different services.
To use it, you typically define aspects using annotations like @Aspect and advice types such as @Before, @After, and @Around to hook into specific join points in your code execution. For example, you can add a logging aspect that logs method execution times by creating an aspect class and annotating a method with @Around, then specifying a pointcut expression to match the methods you want to intercept.
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