spring-projects/spring-data-examples
Spring Data Examples
Ce projet est une implémentation de référence fournissant une collection d'exemples pratiques pour les patterns d'accès aux données et les abstractions de dépôt au sein de l'écosystème Spring Data. Il sert de vitrine complète pour implémenter des couches de données cohérentes à travers diverses bases de données relationnelles et non relationnelles.
Le dépôt démontre spécifiquement la persistance multi-store en intégrant des bases de données relationnelles, documentaires et vectorielles au sein d'une seule application. Il inclut des implémentations pour la recherche vectorielle afin de gérer des plongements de haute dimension et des recherches de similarité à travers différentes technologies de base de données.
Les capacités supplémentaires couvertes incluent l'accès aux données réactif pour les opérations non bloquantes et les flux de données asynchrones. Le projet fournit également des conseils sur l'optimisation des images natives pour améliorer les performances de démarrage et l'utilisation de la mémoire via la compilation ahead-of-time.
Les exemples illustrent en outre l'isolation des données multi-tenant, la conception d'API de dépôt de données et l'intégration de la recherche géospatiale et plein texte.
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.
