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6 repositorios

Awesome GitHub RepositoriesDynamic Query Execution

The ability to execute complex graph logic and recursive queries via API at runtime without redeploying code.

Distinct from Graph Querying: Focuses on the runtime execution of dynamic logic rather than the static design of query languages.

Explore 6 awesome GitHub repositories matching data & databases · Dynamic Query Execution. Refine with filters or upvote what's useful.

Awesome Dynamic Query Execution GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • omcljs/omO

    omcljs/om

    6,631Ver en GitHub↗

    Om is a frontend state management library and reactive user interface framework that integrates ClojureScript functional programming with the React virtual DOM rendering engine. It provides a bridge to build responsive web interfaces where visual elements automatically update when underlying application data changes. The project centers on a normalized state store that flattens complex data structures into a relational format. This data is accessed through a reader-based querying system, which decouples the user interface from the state by allowing components to declare specific data requirem

    Allows the parameters of a data request to be changed during execution to update displayed information.

    Clojure
    Ver en GitHub↗6,631
  • dotnetnext/sqlsugarAvatar de DotNetNext

    DotNetNext/SqlSugar

    5,816Ver en GitHub↗

    SqlSugar is an object-relational mapping library for .NET that translates C# and VB objects into database queries and tables without requiring raw SQL. It is designed as a multi-database ORM supporting SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, ClickHouse, and other databases through a unified API, and it is compatible with .NET AOT compilation for native ahead-of-time deployment. The library distinguishes itself through high-speed bulk data operations that can insert or update millions of records in seconds using batch processing instead of row-by-row handling. It also provides multi-te

    Builds filter expressions programmatically at runtime by combining multiple conditions with logical operators.

    C#clickhousemongodbmysql
    Ver en GitHub↗5,816
  • querydsl/querydslAvatar de querydsl

    querydsl/querydsl

    4,964Ver en GitHub↗

    Querydsl es un framework para la construcción de consultas con seguridad de tipos (type-safe). Utiliza una API fluida y generación de código basada en anotaciones para crear clases espejo a partir de modelos de dominio, permitiendo la validación en tiempo de compilación de consultas de base de datos y eliminando la necesidad de concatenación manual de cadenas. El proyecto proporciona una sintaxis de consulta unificada que se traduce en dialectos específicos para múltiples backends, incluyendo SQL, MongoDB, Lucene y JDO. Admite capacidades de consulta avanzadas como expresiones de tabla comunes, funciones de ventana, operaciones geoespaciales y subconsultas anidadas complejas. Más allá de la recuperación de datos, el framework cubre la ejecución de DML con seguridad de tipos para actualizaciones y eliminaciones masivas, así como el mapeo de resultados en Java Beans, constructores o tuplas. Incluye soporte para consultas de colecciones en memoria y se integra con el Spring Framework para la gestión de transacciones y el manejo de conexiones.

    Provides programmatic builders for constructing complex boolean expressions and data filters at runtime.

    Java
    Ver en GitHub↗4,964
  • ravendb/ravendbAvatar de ravendb

    ravendb/ravendb

    3,961Ver en GitHub↗

    RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind

    Analyzes filtering criteria at runtime to automatically create or select an optimal index for retrieval.

    C#csharpdatabasedocument-database
    Ver en GitHub↗3,961
  • helixdb/helix-dbAvatar de HelixDB

    HelixDB/helix-db

    3,830Ver en GitHub↗

    Helix DB is a distributed graph database and knowledge graph platform that persists nodes and edges on object storage for durable and unlimited scaling. It operates as an ACID-compliant system, ensuring data consistency through serializable snapshot isolation during concurrent operations. The project distinguishes itself by combining a vector search engine and a property graph, utilizing hybrid vector and full-text search to locate entry points for graph traversals. It enables dynamic graph querying through a domain-specific language, allowing complex logic and recursive queries to be execute

    Enables execution of complex graph logic and recursive queries via an API without redeploying application code.

    Rustaiclidatabase
    Ver en GitHub↗3,830
  • spring-projects/spring-data-elasticsearchAvatar de spring-projects

    spring-projects/spring-data-elasticsearch

    2,959Ver en GitHub↗

    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

    Retrieves documents using dynamic finder methods and criteria with built-in support for sorting and pagination.

    Java
    Ver en GitHub↗2,959
  1. Home
  2. Data & Databases
  3. Graph Querying
  4. Dynamic Query Execution

Explorar subetiquetas

  • Document Retrieval MethodsMethods for retrieving documents based on dynamic criteria, finder methods, and pagination. **Distinct from Dynamic Query Execution:** Focuses on document retrieval patterns in search indices rather than runtime execution of recursive graph logic.
  • Dynamic Expression DefinitionProgrammatically creating query paths, constants, and operations when static types are unavailable. **Distinct from Dynamic Query Execution:** Distinct from Dynamic Query Execution by focusing on the definition of the expressions rather than the act of executing them.
  • Dynamic Query ParameterizationUpdating the parameters of data requests at runtime to dynamically change the retrieved state. **Distinct from Dynamic Query Execution:** Focuses on changing parameters of a state reader/query rather than executing recursive graph logic or SQL.
  • Filter Expression BuildersBuilding filter expressions programmatically at runtime by combining multiple conditions with logical operators. **Distinct from Dynamic Query Execution:** Distinct from Dynamic Query Execution: focuses on building filter expressions with logical operators, not executing complex graph logic or recursive queries.