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4 dépôts

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

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • hazelcast/hazelcastAvatar de hazelcast

    hazelcast/hazelcast

    6,570Voir sur 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
    Voir sur GitHub↗6,570
  • loro-dev/loroAvatar de loro-dev

    loro-dev/loro

    5,374Voir sur 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
    Voir sur GitHub↗5,374
  • uptrace/bunAvatar de uptrace

    uptrace/bun

    4,867Voir sur GitHub↗

    Bun est un ORM (Object Relational Mapper) typé pour Go qui privilégie la construction de requêtes SQL-first et le mappage des résultats. Il fonctionne comme un constructeur de requêtes SQL programmable, un gestionnaire de connexion de base de données et un outil pour mapper les tables de base de données aux structs Go. Le projet se distingue par un système de prise en charge SQL multi-dialecte, permettant à une seule base de code d'interagir avec différents moteurs de base de données via une interface cohérente. Il inclut un outil d'observabilité de base de données intégré pour l'interception de requêtes, le traçage distribué et la journalisation, ainsi qu'un outil de migration de schéma pour le versioning des changements structurels. La bibliothèque couvre un large éventail d'opérations de données, incluant le traitement par lots, les upserts, les suppressions logiques (soft deletes) et la gestion des données relationnelles telles que les associations polymorphes. Elle fournit des capacités pour l'analyse SQL avancée en utilisant des expressions de table communes (CTE) et des fonctions de fenêtre, parallèlement à la gestion des transactions atomiques et au pooling de connexions. La gestion des schémas est prise en charge via une interface en ligne de commande pour appliquer des scripts de migration versionnés.

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

    Godatabasegogolang
    Voir sur GitHub↗4,867
  • kimai/kimaiAvatar de kimai

    kimai/kimai

    4,757Voir sur 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
    Voir sur GitHub↗4,757
  1. Home
  2. Data & Databases
  3. Update Operations
  4. Bulk Update Processing

Explorer les sous-tags

  • Bulk Map Update Operations2 sous-tagsCopies 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.