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4 repositorios

Awesome GitHub RepositoriesBulk Update Processing

Processing multiple remote state updates in a single batch to improve merge performance.

Distinct from Bulk Update Utilities: Distinct from Bulk Update Utilities: focuses on merging remote synchronization updates rather than database record modifications.

Explore 4 awesome GitHub repositories matching data & databases · Bulk Update Processing. Refine with filters or upvote what's useful.

Awesome Bulk Update Processing GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • hazelcast/hazelcastAvatar de hazelcast

    hazelcast/hazelcast

    6,570Ver en GitHub↗

    Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

    Writes multiple key-value pairs to a distributed map in a single operation to improve efficiency when synchronizing large datasets.

    Javabig-datacachingdata-in-motion
    Ver en GitHub↗6,570
  • loro-dev/loroAvatar de loro-dev

    loro-dev/loro

    5,374Ver en GitHub↗

    Loro is a conflict-free replicated data type (CRDT) framework and collaborative state engine designed for building real-time collaborative applications. It provides a distributed data synchronizer that enables multiple users to edit shared documents and complex nested structures—such as maps, lists, trees, and counters—with automatic state convergence without requiring a central server. The project distinguishes itself through a versioned document store that supports branching, forking, and merging via a directed acyclic graph of causal operation history. It enables advanced version control c

    Processes groups of remote changes in a single operation to reduce overhead and accelerate the merging process.

    Rustcollaborative-editingcrdtlocal-first
    Ver en GitHub↗5,374
  • uptrace/bunAvatar de uptrace

    uptrace/bun

    4,867Ver en GitHub↗

    Bun es un mapeador objeto-relacional (ORM) con seguridad de tipos para Go que prioriza la construcción de consultas SQL primero y el mapeo de resultados. Funciona como un constructor de consultas SQL programable, un gestor de conexiones de base de datos y una herramienta para mapear tablas de bases de datos a structs de Go. El proyecto se distingue por un sistema de soporte SQL multi-dialecto, permitiendo que una única base de código interactúe con diferentes motores de base de datos a través de una interfaz consistente. Incluye una herramienta de observabilidad de base de datos incorporada para la interceptación de consultas, rastreo distribuido y registro, así como una herramienta de migración de esquemas para el versionado de cambios estructurales. La biblioteca cubre una amplia gama de operaciones de datos, incluyendo procesamiento por lotes, upserts, eliminaciones lógicas (soft deletes) y la gestión de datos relacionales como asociaciones polimórficas. Proporciona capacidades para análisis SQL avanzados utilizando expresiones de tabla comunes (CTE) y funciones de ventana, junto con la gestión de transacciones atómicas y agrupación de conexiones (connection pooling). La gestión de esquemas es compatible a través de una interfaz de línea de comandos para aplicar scripts de migración versionados.

    Updates multiple records efficiently by utilizing common table expressions to apply changes in one operation.

    Godatabasegogolang
    Ver en GitHub↗4,867
  • kimai/kimaiAvatar de kimai

    kimai/kimai

    4,757Ver en GitHub↗

    Kimai is an open-source time tracking system that records employee working hours, manages absences, and generates professional invoices from recorded timesheets and expenses. It organizes all time records through a mandatory three-level hierarchy of customer, project, and activity, and supports project budget monitoring with configurable time and money limits. The application is extensible through a plugin system that allows adding custom features, invoice templates, reporting views, and dashboard widgets without modifying core files. It provides a RESTful JSON API for programmatic read and w

    Recomputes a timesheet's rate automatically when its customer, project, activity, or user is changed.

    PHPdoctrineinvoiceinvoicing
    Ver en GitHub↗4,757
  1. Home
  2. Data & Databases
  3. Update Operations
  4. Bulk Update Processing

Explorar subetiquetas

  • Bulk Map Update Operations2 sub-etiquetasCopies multiple key-value pairs into a distributed map in a single operation. **Distinct from Bulk Update Processing:** Focuses on bulk map-specific operations, whereas the parent focuses on general remote state update processing.
  • CTE-Based Bulk UpdatesOptimizing bulk updates using Common Table Expressions. **Distinct from Bulk Update Processing:** Uses CTEs for database record updates, whereas the parent focuses on remote state merge performance.
  • Price RecalculationsBatch updating of monetary values for existing records following a change in rate settings. **Distinct from Bulk Update Processing:** Specific to financial value updates of records rather than generic database synchronization updates.