The Programmer's Guide
  • About
  • Algorithm
    • Big O Notation
      • Tree
      • Problems
    • Basic Notes
    • Data Structure Implementation
      • Custom LinkedList
      • Custom Stack
      • Custom Queue
      • Custom Tree
        • Binary Tree Implementation
        • Binary Search Tree Implementation
        • Min Heap Implementation
        • Max Heap Implementation
        • Trie Implementation
      • Custom Graph
        • Adjacency List
        • Adjacency Matrix
        • Edge List
        • Bidirectional Search
    • Mathematical Algorithms
      • Problems - Set 1
      • Problems - Set 2
    • Bit Manipulation
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      • Truth Tables
      • Number System
        • Java Program
      • Problems - Set 1
    • Searching
    • Sorting
    • Array Algorithms
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    • Tree
      • Tree Traversal Techniques
      • Tree Implementation
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      • Problems - Set 1
    • Graph
      • Graph Traversal Techniques
      • Shortest Path Algorithms
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    • Dynamic Programming
      • Problems - Set 1
    • Recursion
    • Parallel Programming
    • Miscellaneous
      • Problems - Set 1
  • API
    • API Basics
      • What is an API?
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        • Comparison - TBU
      • Synchronous vs Asynchronous API
    • API Architecture
      • Synchronous & Asynchronous Communication
    • API Specification
  • Cloud Computing
    • Cloud Fundamentals
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  • Database
    • DBMS
      • Types of DBMS
        • Relational DBMS (RDBMS)
        • NoSQL DBMS
        • Object-Oriented DBMS (OODBMS)
        • Columnar DBMS
        • In-Memory DBMS
        • Distributed DBMS
        • Cloud-Based DBMS
        • Hierarchical DBMS
      • DBMS Architecture
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    • SQL Databases
      • Terminology
      • RDBMS Concepts
        • Entity Relationship Diagram (ERD)
          • ERD Examples
        • Normalization
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        • ACID & BASE Properties
          • ACID Properties
          • BASE Properties
        • Locking and Unlocking
      • SQL Fundamentals
        • SQL Commands
          • DDL (Data Definition Language)
          • DML (Data Manipulation Language)
          • DCL (Data Control Language)
          • TCL (Transaction Control Language)
          • DQL (Data Query Language)
        • SQL Operators
          • INTERSECT
          • EXCEPT
          • MINUS
          • IN and NOT IN
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        • SQL Clauses
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          • OVER
          • WITH
          • CONNECT BY
          • MODEL
          • FETCH FIRST
          • KEEP
          • OFFSET with FETCH
        • SQL Functions
          • Oracle Specific
        • SQL Data Types
          • Numeric Types
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        • Others
          • Indexing
      • Vendor Specific Concepts
        • Oracle Specific
          • Data Types
          • Character Set
          • Rownum, Rowid, Urowid
          • Order of Execution of the query
          • Keys
          • Tablespace
          • Partition
      • Best Practice
      • Resources & References
        • O’Reilly SQL Cookbook (2nd Edition)
          • 1. Retrieving Records
          • 2. Sorting Query Results
          • 3. Working with Multiple Tables
          • 4. Inserting, Updating, and Deleting
          • 5. Metadata Queries
          • 6. Working with Strings
          • 7. Working with Numbers
          • 8. Date Arithmetic
          • 9. Date Manipulation
          • 10. Working with Ranges
          • 11. Advanced Searching
          • 12. Reporting and Reshaping
          • 13. Hierarchical Queries
          • 14. Odds 'n' Ends
    • SQL vs NoSQL
    • Best Practices
  • Git
    • Commands
      • Setup and Configuration Commands
      • Getting and Creating Projects
      • Tracking Changes
      • Branching and Merging
      • Sharing and Updating Projects
      • Inspection and Comparison
      • Debugging
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      • Advanced Manipulations
    • Workflows
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        • Git Flow
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        • GitHub Flow
        • Comparison
      • Merge Strategies
        • Merge
        • Rebase
        • Squash
        • Fast-forward vs No-fast-forward
        • MR vs PR
      • Conflict Resolution
        • Handling Merge Conflicts
        • Merge Conflicts
        • Rebase Conflicts
        • Divergent Branches After git pull
        • Force Push
      • Patch & Recovery
        • Cherry-pick strategies
        • Revert vs Reset
        • Recover from a bad rebase
      • Rebasing Practices
        • Merge vs Rebase
        • Rebase develop branch on main branch
      • Repository Management
        • Working Directory
        • Mirror a repository
        • Convert a local folder to a Git repo
        • Backup and restore a Git repository
  • Java
    • Java Installation
    • Java Distributions
    • Java Platform Editions
      • Java SE
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      • Jakarta EE
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    • Java Overview
      • OOP Principles
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          • Interface
            • Functional Interfaces
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          • Abstract Class vs Interface
      • OOP Basics
        • What is a Class?
          • Types of Classes
        • What is an Object?
          • Equals and HashCode
            • FAQ
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        • Methods & Fields
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      • Parallelism & Concurrency
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        • Thread Management & Synchronisation
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            • Why is Synchronization Needed?
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          • Thread Lock
            • Types of Locks
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      • Keywords
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          • Array
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            • Map
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        • Specialized Classes
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    • Java Features by Version
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      • FAQ
    • Concepts
      • Set 1
        • Streams
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          • ExecutorService
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          • Locks, Atomic Variables, CountDownLatch, CyclicBarrier - TBU
          • Parallel Streams, Fork/Join Framework,Stream API with Parallelism - TBU
      • Set 2
        • Standards
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            • JSR 303, 349, 380 (Bean Validation)
        • Operator Precedence
      • Set 3
        • Date Time Formatter
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      • Set 4
        • Input from User
        • Comparison & Ordering
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    • Packages
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      • Jakarta Packages
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    • Code Troubleshoot
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      • Tools
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        • VisualVM - TBU
        • jcmd - TBU
        • JConsole - TBU
        • YourKit Java Profiler - TBU
        • Eclipse MAT - TBU
        • IntelliJ IDEA Profiler - TBU
        • AppDynamics - TBU
        • Dynatrace - TBU
        • Thread Dump Analyzers - TBU
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        • jmap
        • VisualVM - TBU
        • jcmd - TBU
        • Eclipse MAT (Memory Analyzer Tool) - TBU
        • IntelliJ IDEA Profiler - TBU
        • YourKit Java Profiler - TBU
        • AppDynamics - TBU
        • Dynatrace - TBU
        • Kill -3 Command - TBU
        • jhat (Java Heap Analysis Tool) - TBU
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      • Wireshark
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    • Best Practices
      • Artifact and BOM Versioning
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    • FAQs
      • Fixing Maven SSL Issues: Unable to Find Valid Certification Path
  • Spring
    • Spring Basics
      • What is Spring?
      • Why Use Spring
      • Spring Ecosystem
      • Versioning
      • Setting Up a Spring Project
    • Core Concepts
      • Spring Core
        • Dependency Injection (DI)
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      • Spring Beans
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          • Singleton Bean
        • Lazy & Eager Initialization
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        • BeanFactory
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      • Spring Annotations
        • Spring Boot Specific
        • Controller Layer (Web & REST Controllers)
    • Spring Features
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        • Spring Boot 2: spring.factories
        • Spring Boot 3: spring.factories
      • Spring Caching
        • In-Memory Caching
      • Spring AOP
        • Before Advice
        • After Returning Advice
        • After Throwing Advice
        • After (finally) Advice
        • Around Advice
      • Spring File Handling
      • Reactive Programming
        • Reactive System
        • Reactive Stream Specification
        • Project Reactor
          • Mono & Flux
      • Asynchronous Computation
        • @Async annotation
      • Spring Security
        • Authentication
          • Core Components
            • Security Filter Chain
              • HttpSecurity
              • Example
            • AuthenticationManager
            • AuthenticationProvider
            • UserDetailsService
              • UserDetails
              • PasswordEncoder
            • SecurityContext
            • SecurityContextHolder
            • GrantedAuthority
            • Security Configuration (Spring Security DSL)
          • Authentication Models
            • One-Way Authentication
            • Mutual Authentication
          • Authentication Mechanism
            • Basic Authentication
            • Form-Based Authentication
            • Token-Based Authentication (JWT)
            • OAuth2 Authentication
            • Multi-Factor Authentication (MFA)
            • SAML Authentication
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            • Custom Authentication
          • Logout Handling
        • Authorization
        • Security Filters and Interceptors
        • CSRF
          • Real-World CSRF Attacks & Prevention
        • CORS
        • Session Management and Security
        • Best Practices
      • Spring Persistence
        • JDBC
          • JDBC Components
          • JDBC Template
          • Transaction Management
          • Best Practices in JDBC Usage
          • Datasource
            • Connection Pooling
              • HikariCP
            • Caching
        • JPA (Java Persistence API)
          • JPA Fundamentals
          • ORM Mapping Annotations
            • 1. Entity and Table Mappings
            • 2. Field/Column Mappings
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          • Querying Data
            • JPQL
            • Criteria API
            • JPA Specification
              • Example - Employee Portal
            • Native SQL Queries
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            • Query Return Types
            • Pagination & Sorting
              • Example - Employee Portal
            • Projection
          • Fetch Strategies in JPA
        • JPA Implementation
          • Hibernate
            • Properties
            • Example
        • Spring Data JPA
          • Repository Abstractions
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        • Cross-Cutting Concerns
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        • Examples
          • Employee Portal
            • API
    • Distributed Systems & Communication
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        • 3. OpenFeign
        • Retry Mechanism
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            • Example
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      • Encoding | Decoding
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            • Base16 - TBD
              • Encoding and Decoding in Java - TBD
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              • Encoding and Decoding in Java
            • Base64 -TBD
              • Encoding and Decoding in Java - TBD
          • Text Encoding - TBD
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                • IBM Code Pages - TBD
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On this page
  • Introduction
  • 1. Simplicity and Productivity
  • 2. Flexibility and Modularity
  • 3. Enterprise-Grade Features
  • 4. Microservices and Cloud-Native Development
  • 5. Performance and Scalability
  • 6. Strong Ecosystem and Community Support
  • 7. Integration with Other Technologies
  • 8. Security and Reliability
  • Comparison: Spring vs Other Frameworks

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  1. Spring
  2. Spring Basics

Why Use Spring

Introduction

Spring is one of the most widely used Java frameworks for building scalable, maintainable, and high-performance applications. It provides a comprehensive ecosystem that simplifies Java development, making it the preferred choice for enterprise applications, microservices, and cloud-native architectures.

This page explores the key benefits of Spring, real-world use cases, and why developers and organisations choose it over other frameworks.

1. Simplicity and Productivity

Spring removes boilerplate code, making development faster and easier.

  • Dependency Injection (DI) eliminates manual object creation, reducing complexity.

  • Auto-configuration (Spring Boot) minimizes setup effort.

  • Convention over configuration enables rapid development.

Example: With Spring Boot, a REST API can be created with minimal code. No need for XML configurations—Spring Boot auto-configures everything!

@RestController
@RequestMapping("/users")
public class UserController {
    @GetMapping("/{id}")
    public ResponseEntity<User> getUser(@PathVariable Long id) {
        return ResponseEntity.ok(new User(id, "John Doe"));
    }
}

2. Flexibility and Modularity

Spring follows a modular architecture, allowing developers to pick and choose only the necessary components.

  • Supports Java-based, annotation-based, and XML-based configurations.

  • Works with multiple frameworks (JPA, Hibernate, Kafka, RabbitMQ, etc.).

  • Can be used for monolithic, microservices, or serverless applications.

Example: Spring can be used with any database (MySQL, PostgreSQL, MongoDB). Spring automatically provides database operations—no need for boilerplate JDBC code.

@Repository
public interface UserRepository extends JpaRepository<User, Long> { }

3. Enterprise-Grade Features

Spring is built for enterprise applications that require high availability, security, and scalability.

  • Transaction management ensures data consistency.

  • Security (Spring Security) provides authentication, authorization, and OAuth2.

  • Batch processing handles large data workloads efficiently.

Example: Declarative transaction management ensures atomic operations:

@Service
public class AccountService {
    @Transactional
    public void transferMoney(Long from, Long to, BigDecimal amount) {
        // Withdraw from one account, deposit to another
    }
}

Spring automatically manages commit or rollback based on success or failure.

4. Microservices and Cloud-Native Development

Spring is the leading framework for microservices and cloud-native applications.

  • Spring Boot provides lightweight, standalone applications.

  • Spring Cloud integrates with Netflix OSS, Kubernetes, and AWS.

  • Reactive programming (Spring WebFlux) supports high-performance, non-blocking applications.

Example: A simple Spring Boot microservice can be containerized with Docker:

docker build -t my-spring-app .
docker run -p 8080:8080 my-spring-app

Spring’s cloud-native features make it ideal for distributed and scalable architectures.

5. Performance and Scalability

Spring is optimized for high performance:

  • Asynchronous programming enables non-blocking execution.

  • Spring Caching improves response time.

  • Support for Reactive Streams allows handling millions of concurrent requests.

Example: Enable asynchronous processing with @Async:

@Service
public class EmailService {
    @Async
    public void sendEmail(String recipient) {
        // Send email asynchronously
    }
}

This prevents blocking the main thread, improving performance

6. Strong Ecosystem and Community Support

Spring has a vast ecosystem that covers:

  • Spring Boot (Auto-configuration, Embedded Servers)

  • Spring Data (JPA, Redis, MongoDB)

  • Spring Security (OAuth2, JWT, SAML)

  • Spring Batch (Batch Processing)

  • Spring Cloud (Microservices, Kubernetes)

  1. Large developer community

  2. Frequent updates & security patches

  3. Extensive documentation & tutorials

Example: Spring’s official documentation is well-maintained and updated, making it easy to find solutions.

7. Integration with Other Technologies

Spring integrates seamlessly with:

  • Databases (MySQL, PostgreSQL, MongoDB, Cassandra)

  • Messaging Systems (Kafka, RabbitMQ)

  • DevOps Tools (Docker, Kubernetes, Jenkins)

  • Cloud Providers (AWS, GCP, Azure)

Example: Integrate Spring Boot with Kafka for event-driven architectures:

@KafkaListener(topics = "user-events", groupId = "user-group")
public void consume(String message) {
    System.out.println("Received: " + message);
}

This makes Spring suitable for high-performance distributed applications.

8. Security and Reliability

Spring provides enterprise-grade security through Spring Security:

  • Authentication (Username/Password, OAuth2, JWT)

  • Authorization (Role-based access control)

  • Protection against CSRF, XSS, and SQL Injection

Example: Secure a REST API using Spring Security:

@Configuration
@EnableWebSecurity
public class SecurityConfig {
    @Bean
    public SecurityFilterChain securityFilterChain(HttpSecurity http) throws Exception {
        return http
            .authorizeHttpRequests(auth -> auth
                .requestMatchers("/admin/**").hasRole("ADMIN")
                .anyRequest().authenticated())
            .formLogin()
            .build();
    }
}

Spring Security handles authentication and access control automatically.

Comparison: Spring vs Other Frameworks

Feature
Spring
Java EE
Node.js
.NET

Configuration

Flexible (Annotations, Java, XML)

Heavy XML

Lightweight

Microsoft-based

Dependency Injection

Yes

Yes (CDI)

No

Yes

Web Framework

Spring MVC, WebFlux

JSF, JAX-RS

Express.js

ASP.NET

Microservices Support

Excellent (Spring Boot, Spring Cloud)

Moderate

High

High

Security

Strong (Spring Security)

Moderate

Weak (Requires third-party modules)

Strong

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Last updated 3 months ago

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