Hibernate Tutorial

• Introduction to Hibernate Framework
• Hibernate Architecture
• Hibernate Lifecycle
• Difference between JDBC and Hibernate in Java
• JPA vs Hibernate
• Hibernate - Difference Between ORM and JDBC
• Hibernate Example using XML in Eclipse
• Hibernate - Create Hibernate Configuration File with the Help of Plugin

Core Hibernate

• Hibernate - Cache Eviction with Example
• Hibernate - Cache Expiration
• Hibernate - Enable and Implement First and Second Level Cache
• Hibernate - Pagination
• Hibernate - Different Cascade Types
• Hibernate - Caching
• Hibernate - Eager/Lazy Loading
• Hibernate - get() and load() Method
• Hibernate Validator with Example
• Hibernate - Batch Processing
• Hibernate - Interceptors
• Hibernate - Criteria Queries
• Hibernate - Create POJO Classes
• Hibernate - Web Application
• Hibernate - Generator Classes
• Hibernate Example without IDE

Hibernate Mapping

• Hibernate - One-to-One Mapping
• Hibernate - One-to-Many Mapping
• Hibernate - Many-to-One Mapping
• Hibernate - Many-to-Many Mapping
• Hibernate - Component Mapping
• Hibernate - Mapping List
• Hibernate - Collection Mapping
• Hibernate - Bag Mapping
• Hibernate - Difference Between List and Bag Mapping
• Hibernate - SortedSet Mapping
• Hibernate - SortedMap Mapping
• Hibernate - Bidirectional Association
• Hibernate - Lazy Collection

Hibernate Annotations

• Hibernate - Annotations
• Hibernate - @Embeddable and @Embedded Annotation

Hibernate with Spring Framework

• Spring Hibernate Configuration and Create a Table in Database
• Spring ORM Example using Hibernate
• Spring Boot - Validation using Hibernate Validator
• How to Create a Project using Spring MVC and Hibernate 5?
• Spring Boot - Integrating Hibernate and JPA

Hibernate with Database

• Hibernate - Save Image and Other Types of Values to Database
• Hibernate Native SQL Query with Example
• CRUD Operations using Hibernate
• Automatic Table Creation Using Hibernate
• Hibernate - Native SQL
• Hibernate - SQL Dialects
• Hibernate - Query Language
• Hibernate Example using JPA and MySQL

Hibernate Log4j

• Hibernate - Logging by Log4j using xml File
• Hibernate - Logging By Log4j Using Properties File

Inheritance Mapping

• Hibernate - Inheritance Mapping
• Hibernate - Table Per Hierarchy using XML File
• Hibernate - Table Per Hierarchy using Annotation
• Hibernate - Table Per Concrete Class using XML File
• Hibernate - Table Per Concrete Class Using Annotation
• Hibernate - Table Per Subclass Example using XML File
• Hibernate - Table Per Subclass using Annotation

Difference between JDBC and Hibernate in Java

Both JDBC (Java Database Connectivity) and Hibernate are popular technologies used in Java applications to interact with databases. However, they serve different purposes and offer different levels of abstraction.

Here's a detailed comparison between JDBC and Hibernate:

1. Level of Abstraction:

• JDBC: It is a low-level standard API for connecting Java applications to a variety of relational databases. With JDBC, you manually handle the SQL queries, result set extraction, connection management, and transaction management.

• Hibernate: It is a high-level Object-Relational Mapping (ORM) framework. With Hibernate, you work with Java objects, and it internally translates those to SQL queries and operations to interact with the database. Hibernate abstracts away many of the complexities of database interaction.

2. Code Length and Maintenance:

• JDBC: Requires more lines of code, especially for CRUD operations, as you deal directly with SQL queries, result sets, connection management, etc. This often leads to repetitive boilerplate code.

• Hibernate: Typically requires fewer lines of code for CRUD operations, as Hibernate handles the underlying SQL operations. This can lead to better maintainability.

3. Portability:

• JDBC: Your SQL queries might be specific to a certain database if you use database-specific features. To migrate to another database, you might need to change some SQL statements.

• Hibernate: It uses dialects to handle database-specific SQL variants. This means you can switch databases with minimal changes in your Hibernate code by just changing the dialect.

4. Performance:

• JDBC: Since it's a lower-level API, with the right optimizations, it can be faster as you have granular control over all aspects of database interaction.

• Hibernate: Introduces overhead due to the additional layers of abstraction. However, Hibernate offers many performance-enhancing features like caching, lazy loading, and batch processing, which, when used properly, can provide efficient data access.

5. Error Handling:

• JDBC: Offers basic error handling related to database operations.

• Hibernate: Provides more comprehensive error handling due to its higher-level abstraction, allowing for more specific error scenarios related to ORM.

6. Connection Management:

• JDBC: Requires manual management of database connections. Connection pooling can be implemented using third-party libraries like Apache DBCP or C3P0.

• Hibernate: Comes with built-in connection pooling and can also integrate with third-party connection pool providers.

7. Transactions:

• JDBC: Requires manual handling of transactions using the commit() and rollback() methods.

• Hibernate: Provides a transaction API which abstracts away some of the complexities of transaction management. It also integrates well with JTA (Java Transaction API) for distributed transactions.

8. Query Language:

• JDBC: Uses native SQL.

• Hibernate: Uses HQL (Hibernate Query Language), which is object-oriented. However, it also supports native SQL.

Conclusion:

• If you want granular control over your database interactions and are working on a lightweight application, or if ORM is not a good fit for your use case, then JDBC may be suitable.

• If you want a higher-level abstraction that deals with database interactions in a more object-oriented manner, or if you're working on a complex enterprise application, then Hibernate (or another ORM) may be more suitable.

While JDBC and Hibernate are two of the more commonly known methods for database interactions in Java, there are other frameworks and libraries (like JPA, MyBatis, etc.) that also offer different approaches and features.