5 repositorios
Executing search queries defined in JSON format with support for dynamic parameter injection.
Distinct from JSON Query Constraints: Closest candidates focus on graph constraints or general APIs; this is specifically about running JSON-based search queries against a data store.
Explore 5 awesome GitHub repositories matching data & databases · JSON Query Executions. Refine with filters or upvote what's useful.
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Supports extraction, validation, and transformation of nested JSON objects using path expressions.
Zombodb es una extensión de base de datos e indexador de datos relacionales que integra PostgreSQL con Elasticsearch. Proporciona una interfaz de búsqueda SQL, permitiendo a los usuarios ejecutar consultas de búsqueda complejas y agregaciones utilizando funciones y sintaxis SQL estándar en lugar de APIs JSON nativas. El proyecto sincroniza datos relacionales de PostgreSQL a un motor de búsqueda remoto para habilitar la búsqueda de texto completo y analítica de alto rendimiento. El sistema se distingue por tender un puente entre estructuras relacionales y capacidades de motores de búsqueda, específicamente mediante la integración de búsqueda geoespacial para tipos de geometría y geografía. Implementa una capa de mapeo de consultas SQL-a-JSON que permite un análisis de texto avanzado —incluyendo coincidencia difusa, búsquedas de proximidad y puntuación de relevancia— directamente dentro de un entorno relacional. El proyecto cubre áreas de capacidad amplias, incluyendo la gestión del ciclo de vida de índices, sincronización automatizada de datos relacionales y agregaciones analíticas complejas. Soporta indexación espacial para consultas basadas en ubicación, tuberías de análisis de texto personalizadas y herramientas de monitoreo para auditar estadísticas de índices y salud del clúster. La seguridad se maneja mediante conexiones cifradas entre la base de datos y el motor de búsqueda usando TLS.
Allows executing search queries defined in raw JSON format to access advanced search engine features.
TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features
Provides a console for executing search requests and rendering responses as grids or formatted JSON.
gojq is a JSON query engine and transformation tool implemented in Go. It serves as a Go language port of the jq command, providing a library for embedding JSON and YAML manipulation capabilities directly into Go applications. The tool functions as an arbitrary-precision JSON processor, performing mathematical operations on large integers to prevent precision loss or numeric overflow during data transformations. Its broader capabilities include filtering and reshaping structured data using a specialized query language, converting between YAML and JSON formats, and formatting date and time st
Parses and runs filter strings against JSON-compatible data to extract or modify specific information.
Spring Data Elasticsearch is a data access library that maps Java objects to Elasticsearch indices. It functions as an object mapper, a repository abstraction, and a query DSL wrapper, providing both a standard and a reactive client for executing asynchronous search and persistence operations. The project distinguishes itself by automating data access through repository interfaces, which generate query logic based on method naming conventions. It enables the construction of complex search queries using a domain-specific language and supports advanced search capabilities such as vector similar
Enables the execution of specific JSON queries using positional placeholders or expressions for dynamic parameterization.