spring-projects/spring-data-examples

Features

• Spring Boot Database Access - Provides a comprehensive reference for database access patterns and repository abstractions using the Spring Data framework.
• Polyglot Persistence Strategies - Demonstrates a comprehensive implementation of multi-store persistence by integrating relational, document, and vector databases.
• Repository Pattern Abstractions - Standardizes database access by mapping domain entities to common repository interfaces for multiple store types.
• Repository Patterns - Implements repository mediator layers that decouple domain logic from specific data source implementations.
• Data Source Routing - Implements mechanisms for directing database queries to specific storage instances based on runtime logic.
• Data Tenant Isolators - Separates user data within shared database instances using distinct schemas or discriminator columns.
• Store Routing - Provides functionality to route repositories to different storage engines automatically using domain type metadata.
• Unified Repository Abstractions - Builds data access layers for various databases including relational and non-relational stores using common abstractions.
• Polyglot Persistence Configurations - Integrates and operates relational, document, and vector databases within a single application.
• Reactive Data Access Layers - Implements backend data access layers using non-blocking reactive programming patterns.
• Reactive Data Streams - Implements non-blocking data access patterns that return results as asynchronous publishers or streams.
• Asynchronous Operations - Executes non-blocking database operations using reactive templates to handle high concurrency.
• Reactive SQL Query Execution - Retrieves database records as asynchronous streams to prevent thread blocking during heavy I/O.
• Relational Data Storage - Maps objects to relational database tables to perform standard data operations using a mapping layer.
• Polyglot Persistence Examples - Showcases the integration of relational, document, and vector databases within a single application.
• Repository API Projections - Converts database repositories into RESTful HTTP endpoints with support for pagination and data projections.
• Vector Search - Finds related content by performing similarity searches on high-dimensional vector embeddings.
• Vector Similarity Search - Performs similarity searches on high-dimensional vector embeddings across different database technologies.
• Spring Framework Reference Architectures - Serves as a reference implementation for best-practice data access and repository patterns using the Spring framework.
• Multi-Store Persistence Coordination - Manages persistence across different database technologies by combining diverse storage engines.
• Data Auditing and Versioning - Tracks and stores historical versions of entity changes to maintain a complete record of modifications.
• Full Text Search - Implements text-based searching and result filtering using specialized lexical indexing.
• Geospatial Search - Provides combined full-text and geospatial search capabilities for filtering data by coordinates and boundaries.
• Geospatial Search - Integrates geospatial search capabilities to perform location-based queries within the data layer.
• Domain-Driven Store Routing - Demonstrates automatic assignment of data operations to specific storage engines based on domain type metadata.
• Multitenancy Isolation - Implements strategies for partitioning data to ensure privacy and resource separation between tenants.
• Example Object Database Queries - Generates dynamic database queries based on the state of a populated object instance.
• Spatial Data Extensions - Stores and queries location-based information using geospatial search and standardized geographic data formats.
• Native AOT Compilation - Provides examples of compiling data access layers into native machine code using ahead-of-time processing for faster startup.
• Ahead-Of-Time Compilation - Applies build-phase source code processing to reduce boot times and enable native image creation.
• Request-to-Query Predicate Mapping - Binds HTTP request parameters directly to database query predicates to enable dynamic data filtering.
• RESTful Data APIs - Converts database repositories into RESTful HTTP endpoints supporting custom URIs and data projections.

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