📚 JDBC is a repository containing multiple Java projects that demonstrate the usage of Java Database Connectivity (JDBC) for connecting to and interacting with databases.
The repository is organized into the following projects:
- Project 1: JDBC Basics
- Project 2: JDBC CRUD Operations
- Project 3: JDBC Transactions
- Project 4: JDBC Batch Processing
📝 This project provides a foundational understanding of JDBC and covers the following topics:
- Setting up the JDBC driver
- Establishing a connection to the database
- Executing SQL statements
- Retrieving and processing query results
- Handling exceptions and managing resources
📝 This project demonstrates how to perform CRUD (Create, Read, Update, Delete) operations using JDBC. The key concepts covered include:
- Inserting data into the database
- Retrieving data using SELECT statements
- Updating existing records
- Deleting records
- Prepared statements to prevent SQL injection
📝 This project focuses on JDBC transactions, which ensure the integrity and consistency of database operations. The project covers:
- Understanding transaction concepts
- Setting auto-commit mode
- Committing and rolling back transactions
- Implementing savepoints
- Handling transactional exceptions
📝 This project explores the concept of batch processing in JDBC, which enables efficient execution of multiple database operations as a single unit. The project covers:
- Batch inserts, updates, and deletes
- Setting batch sizes
- Retrieving generated keys
- Handling batch exceptions
- Measuring and optimizing batch performance
📝 This project focuses on the usage of prepared statements in JDBC, which offer improved performance and security compared to regular statements. The project covers:
- Creating and executing prepared statements
- Setting parameters in prepared statements
- Retrieving and processing result sets
- Batch updates using prepared statements
📝 This project explores the JDBC metadata API, which provides information about the database structure and schema. The project covers:
- Retrieving database metadata
- Navigating through tables, columns, and indexes
- Getting information about result sets
- Accessing stored procedure metadata
📝 This project demonstrates the usage of JDBC callable statements, which are used to execute stored procedures in the database. The project covers:
- Creating and executing callable statements
- Registering OUT and INOUT parameters
- Retrieving result sets from callable statements
- Handling stored procedure exceptions
📝 This project focuses on JDBC connection pooling, which improves performance and scalability in database applications. The project covers:
- Configuring a connection pool
- Acquiring and releasing connections from the pool
- Connection pooling with Apache Commons DBCP
- Handling connection pool exceptions
📝 This project demonstrates the integration of JDBC with the Spring framework, providing a convenient and simplified approach to working with databases. The project covers:
- Configuring data sources in Spring
- Performing database operations using Spring JDBC template
- Mapping query results to Java objects using RowMapper
- Implementing transaction management with Spring
📝 This project explores the integration of JDBC with Hibernate, a popular object-relational mapping (ORM) framework. The project covers:
- Setting up Hibernate configuration
- Mapping Java objects to database tables using annotations
- Performing CRUD operations with Hibernate APIs
- Querying data using Hibernate Query Language (HQL)
- Managing transactions with Hibernate
📝 This project focuses on integrating JDBC with Java Persistence API (JPA), a specification for ORM in Java. The project covers:
- Configuring JPA entities and persistence units
- Performing CRUD operations using EntityManager
- Querying data with JPQL (Java Persistence Query Language)
- Utilizing JPA relationships (One-to-One, One-to-Many, Many-to-One)
- Implementing transactions with JPA
📝 This project showcases the integration of JDBC with the Spring Boot framework, which provides a streamlined approach to building Java applications. The project covers:
- Setting up a Spring Boot project with JDBC dependencies
- Implementing database operations using Spring JDBC template
- Managing transactions with Spring Boot
- Building RESTful APIs with Spring Boot and JDBC
📝 This project explores the integration of JDBC with MyBatis, a lightweight persistence framework that simplifies database interactions. The project covers:
- Configuring MyBatis XML configuration file
- Mapping SQL statements to Java methods using MyBatis annotations
- Executing queries and managing transactions with MyBatis
- Handling result mappings and associations
📝 This project demonstrates the integration of JDBC with Spring Data JPA, a powerful library that simplifies database access using JPA. The project covers:
- Setting up Spring Data JPA repositories
- Implementing CRUD operations using repository methods
- Defining custom queries with method names and @Query annotations
- Utilizing Spring Data JPA's automatic query generation capabilities
📝 This project demonstrates the integration of JDBC with Apache Kafka, a distributed streaming platform. The project covers:
- Setting up Apache Kafka and ZooKeeper
- Producing database change events using Kafka Connect JDBC connector
- Consuming and processing database change events with a Kafka consumer
- Implementing real-time data synchronization between databases using JDBC and Kafka
📝 This project explores the integration of JDBC with Apache Spark, a fast and distributed data processing engine. The project covers:
- Loading data from databases into Spark DataFrames using JDBC
- Performing transformations and aggregations on DataFrames
- Writing results back to databases using JDBC
- Leveraging the power of Spark for large-scale data processing with JDBC
📝 This project demonstrates the integration of JDBC with Spring Batch, a framework for batch processing in Java applications. The project covers:
- Setting up a Spring Batch job with JDBC readers and writers
- Configuring batch processing steps for data import and export
- Handling large datasets and chunk-oriented processing
- Monitoring and managing batch jobs with Spring Batch
📝 This project focuses on testing JDBC operations using the JUnit testing framework. The project covers:
- Setting up a test environment for JDBC testing
- Writing unit tests for database operations
- Mocking database connections and executing test cases
- Verifying expected results and handling test assertions
📝 This project focuses on implementing security and authentication features with JDBC in Java applications. The project covers:
- Securing database connections with SSL/TLS
- Implementing user authentication and authorization
- Handling password encryption and hashing
- Preventing SQL injection and other security vulnerabilities
📝 This project covers best practices and performance tuning techniques for JDBC in Java applications. The project covers:
- Connection pooling for improved performance
- Optimizing SQL queries and database indexes
- Using batch processing and prepared statements efficiently
- Monitoring and profiling JDBC performance
📝 This project explores the integration of JDBC with NoSQL databases, such as MongoDB or Apache Cassandra. The project covers:
- Setting up the necessary drivers and configurations for the chosen NoSQL database
- Performing CRUD operations using JDBC for NoSQL databases
- Handling NoSQL-specific features, such as document storage or wide column storage
- Leveraging the flexibility and scalability of NoSQL databases with JDBC
📝 This project showcases the integration of JDBC with cloud databases, such as Amazon RDS or Azure SQL Database. The project covers:
- Configuring the cloud database instance and obtaining connection details
- Establishing JDBC connections to the cloud database
- Performing database operations and queries using JDBC
- Leveraging the scalability and managed services of cloud databases with JDBC
📝 This project focuses on implementing data encryption techniques with JDBC in Java applications. The project covers:
- Understanding data encryption concepts and algorithms
- Encrypting and decrypting data using JDBC
- Handling key management and secure storage of encryption keys
- Securing sensitive data in databases using JDBC encryption
📝 This project explores data validation techniques with JDBC in Java applications. The project covers:
- Implementing input validation for user-provided data
- Applying data validation rules and constraints with JDBC
- Handling validation errors and providing feedback to users
- Ensuring data integrity and consistency using JDBC data validation
Feel free to explore each project by following the provided links. These projects in the "JDBC" repository offer insights into data encryption and data validation techniques when working with JDBC in Java applications. Happy learning and coding! 🚀