Also known as

• Coarse-Grained Entity

Intent of Composite Entity Design Pattern

The Composite Entity design pattern in Java is aimed at managing a set of interrelated persistent objects as if they were a single entity. It is commonly used in enterprise applications, particularly within the context of Enterprise JavaBeans (EJB) and similar enterprise frameworks, to represent graph-based data structures within business models. This pattern enables clients to treat these complex structures as a single unit, simplifying operations and interactions.

Also known as

• Data Access Layer
• DAO

Intent of Data Access Object Design Pattern

The Data Access Object (DAO) design pattern aims to separate the application's business logic from the persistence layer, typically a database or any other storage mechanism. By using DAOs, the application can access and manipulate data without being dependent on the specific database implementation details.

Also known as

• Object-Relational Mapping (ORM)

Intent of the Data Mapper Pattern

The Data Mapper pattern aims to create an abstraction layer between the database and the business logic, allowing them to evolve independently. It maps data from the database objects to in-memory data structures and vice versa, minimizing direct dependencies between the application's core logic and the underlying database structure. This decoupling is essential in promoting maintainability and flexibility in Java programming.

Also known as

• Conceptual Model
• Domain Object Model

Intent of Domain Model Design Pattern

The Domain Model pattern aims to create a conceptual model in your software that matches the real-world system it's designed to represent. It involves using rich domain objects that encapsulate both data and behavior relevant to the application domain, ensuring business logic is centralized.

Also known as

• Event Logging
• Event Streaming

Intent of Event Sourcing Design Pattern

Event Sourcing is a design pattern that advocates for the storage of state changes as a sequence of events. Instead of updating a record in a database, all changes are stored as individual events which, when replayed, can recreate the state of an application at any point in time.

Intent of Identity Map Design Pattern

The Identity Map design pattern in Java aims to ensure that each object gets loaded only once by keeping every loaded object in a map, enhancing database performance and memory management.

Detailed Explanation of Identity Map Pattern with Real-World Examples

Also known as

• Lazy Initialization

Intent of Lazy Loading Design Pattern

The Lazy Loading design pattern in Java defers object initialization until the object is actually needed, minimizing memory usage and reducing startup times. This technique is crucial for optimizing Java application performance.

Intent of Metadata Mapping Design Pattern

Metadata Mapping Design Pattern is designed to manage the mapping between database records and Java objects in a way that keeps the database schema and object model decoupled and manageable.

Detailed Explanation of Metadata Mapping Pattern with Real-World Examples

Also known as

• Borg

Intent of Monostate Design Pattern

The Monostate pattern is an alternative approach to achieving a singleton-like behavior in object-oriented design, ensuring a shared state in Java applications. It enforces a unique behavior where all instances of a class share the same state. Unlike the Singleton pattern, which restricts a class to a single instance, Monostate allows for multiple instances but ensures they all have a shared state.

Also known as

• Transparent Objects

Intent of Naked Objects Design Pattern

To enable the rapid development of maintainable systems by representing all business objects directly and automatically creating the user interface from these definitions. Naked Objects design pattern is essential for developers aiming to align user interfaces with domain models seamlessly.