3 रिपॉजिटरी
APIs that allow developers to write database queries using functional programming paradigms.
Distinguishing note: Focuses on the syntax and paradigm of query construction rather than the underlying execution engine.
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RethinkDB is a distributed, document-oriented database designed to store and manage JSON-formatted data across scalable clusters. It utilizes a custom log-structured storage engine with B-Tree indexing to ensure high-performance disk I/O and data persistence. The system maintains high availability through automatic sharding and replication, employing a primary-replica voting consensus mechanism to handle node failures and ensure consistent cluster operations. A defining characteristic of the platform is its reactive changefeed engine, which allows applications to subscribe to live data update
RethinkDB writes functional-style queries using language constructs like lambdas, which the driver converts into optimized server-side operations for cluster evaluation.
jid is an interactive JSON query tool and data explorer for the terminal. It provides a keyboard-driven interface to navigate, evaluate, and extract information from nested JSON structures using dot-notation paths and real-time autocomplete. The tool integrates JMESPath to support complex data filtering and transformation. It distinguishes itself through a type-aware assistance system that provides context-aware function hints and argument templates based on the data type of the selected JSON node. The capability surface includes a terminal user interface with syntax highlighting, predictive
Suggests functions and usage hints with automatically filled argument templates for complex queries.
Ktorm is a lightweight object-relational mapping framework for Kotlin that provides a type-safe SQL domain-specific language and functional sequence APIs for database interaction. It enables developers to define database schemas and map relational tables to interface-based objects, ensuring that data persistence and retrieval are handled through strongly-typed expressions. The framework distinguishes itself by utilizing a functional, collection-style approach to query construction, allowing developers to chain operations like filtering, sorting, and aggregation using idiomatic language patter
Provides functional APIs for chaining database operations using idiomatic collection-style patterns.