spring-projects/spring-data-examples
Spring Data Examples
Dieses Projekt ist eine Referenzimplementierung, die eine Sammlung praktischer Beispiele für Datenzugriffsmuster und Repository-Abstraktionen innerhalb des Spring-Data-Ökosystems bereitstellt. Es dient als umfassendes Showcase für die Implementierung konsistenter Datenschichten über verschiedene relationale und nicht-relationale Datenbanken hinweg.
Das Repository demonstriert spezifisch Multi-Store-Persistenz durch die Integration relationaler, Dokumenten- und Vektordatenbanken innerhalb einer einzigen Anwendung. Es enthält Implementierungen für Vektorsuche zur Verwaltung hochdimensionaler Embeddings und Ähnlichkeitssuchen über verschiedene Datenbanktechnologien hinweg.
Zusätzliche abgedeckte Funktionen umfassen reaktiven Datenzugriff für nicht-blockierende Operationen und asynchrone Datenströme. Das Projekt bietet zudem Anleitungen zur Optimierung nativer Images, um die Start-Performance und den Speicherverbrauch durch Ahead-of-Time-Kompilierung zu verbessern.
Die Beispiele illustrieren darüber hinaus Multi-Tenant-Datenisolierung, das Design von Daten-Repository-APIs sowie die Integration von Geodaten- und Volltextsuche.
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.
