kotlin-orm/ktorm

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.

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