kotlin-orm/ktorm
Ktorm
Ktorm es un marco de mapeo objeto-relacional ligero para Kotlin que proporciona un lenguaje específico de dominio SQL seguro de tipos y API de secuencias funcionales para la interacción con bases de datos. Permite a los desarrolladores definir esquemas de base de datos y mapear tablas relacionales a objetos basados en interfaces, asegurando que la persistencia y recuperación de datos se manejen a través de expresiones fuertemente tipadas.
El marco se distingue por utilizar un enfoque funcional estilo colección para la construcción de consultas, permitiendo a los desarrolladores encadenar operaciones como filtrado, ordenamiento y agregación utilizando patrones de lenguaje idiomáticos. Al emplear la evaluación de secuencias perezosas, la biblioteca asegura que las operaciones de base de datos se difieran hasta que los datos se accedan explícitamente, lo que optimiza el rendimiento y el uso de memoria durante la recuperación de registros.
El sistema cubre una gama integral de capacidades de gestión de bases de datos, incluyendo operaciones de unión automatizadas, paginación de resultados y gestión del ciclo de vida de entidades. Admite definiciones de esquema complejas y mapeo de tipos personalizados, proporcionando herramientas para sincronizar estados de objetos en memoria con registros de base de datos persistentes mientras se mantiene la consistencia del esquema a través de metadatos declarativos.
Features
- Database Access and ORM - Retrieves records from relational tables as strongly-typed objects using a lazy-loading interface.
- Object-Relational Mapping Frameworks - The ORM supports defining data entities as interface-based objects, allowing for property initialization and custom business logic through methods.
- SQL Frameworks - Provides a lightweight database access library for Kotlin with a type-safe SQL DSL and functional sequence APIs.
- Type-Safe Query Construction - Enables programmatic construction of SQL statements that ensures type safety and provides compile-time autocompletion.
- Functional Query Interfaces - Provides functional APIs for chaining database operations using idiomatic collection-style patterns.
- Interface-Based Mappers - Links relational table columns to interface-based objects using declarative bindings and automated row-to-entity conversion.
- Type-Safe Query Builders - Provides tools for constructing database queries using strongly-typed language features that ensure schema consistency.
- Kotlin DAO Layers - Provides a data access layer for Kotlin that maps rows to entity objects with lazy-loaded references.
- Database Access - Provides a data retrieval interface that uses collection-style operators to filter, map, and process database records.
- Column Mappings - Links table columns to entity properties using declarative bindings.
- Metadata-Driven Schema Mappers - Links relational database structures to application objects using declarative metadata.
- Database ORMs - Enables mapping database tables and columns to code objects using a strongly-typed schema definition language.
- Entity Interfaces - Maps database tables to interface-based objects for property binding and business logic.
- Lifecycle Management - Synchronizes in-memory object states with persistent database records throughout the entity lifecycle.
- Functional Data Aggregation - Computes summary statistics like sums, averages, or counts from filtered database records.
- Pagination - Facilitates efficient retrieval of large datasets by limiting records and setting offsets for pagination.
- Query Filters - Applies conditional logic to database requests by chaining operations that refine selection criteria.
- ORM Join Generators - Reduces boilerplate by automatically performing recursive joins on referenced tables to populate related data.
- Relational Schemas - Defines database structures through code-based interfaces and declarative bindings to link application objects to table schemas.
- Dialect-Specific SQL Generation - Translates abstract query definitions into database-specific SQL syntax at execution time.
- Entity Mappings - Transforms relational table records into strongly-typed objects by automatically binding column values during retrieval.
- Lazy Sequences - Optimizes performance by deferring database operations until data is explicitly accessed via lazy sequences.
