Data persistence with hibernate research
Hibernate is a popular Java-based framework used for Object Relational Mapping (OR M) which provides a way to map Java objects to database tables and vice versa. One of the key features of Hibernate is its ability to handle data persistence, which means the ability to store and retrieve data from a database.
Here are some key points to consider when researching data persistence with Hibernate:
- Hibernate’s session management: Hibernate manages sessions which represent a single unit of work with the database. The session provides methods for creating, reading, updating, and deleting persistent objects. The session also manages transaction boundaries and caching of objects to improve performance.
- Hibernate mapping: Hibernate uses mapping files to define the mapping between Java classes and database tables. These mapping files define the relationship between entities, their attributes, and how they map to database columns.
- Hibernate Query Language (HQ L): HQ L is a query language that allows developers to write database queries in object-oriented terms, rather than in SQL. HQ L provides a way to write queries that are database independent and allows developers to work with objects, rather than raw data.
- Hibernate caching: Hibernate provides caching of objects in memory to improve performance. This caching can be configured to be either at the session level or at the application level.
- Hibernate transaction management: Hibernate provides transaction management, which allows developers to define transaction boundaries and ensure data consistency. Transactions can be managed either program ma tical ly or declarat ively.
- Hibernate validation: Hibernate also provides validation of data, which ensures that data meets certain criteria before it is persisted. This validation can be done either at the application level or at the database level.
Overall, Hibernate provides a comprehensive framework for handling data persistence in Java applications. By providing a high-level abstraction over database operations, it makes it easier for developers to write efficient and maintainable code while ensuring data consistency and reliability.