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4 个仓库

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

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  • hazelcast/hazelcasthazelcast 的头像

    hazelcast/hazelcast

    6,570在 GitHub 上查看↗

    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
    在 GitHub 上查看↗6,570
  • loro-dev/loroloro-dev 的头像

    loro-dev/loro

    5,374在 GitHub 上查看↗

    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
    在 GitHub 上查看↗5,374
  • uptrace/bunuptrace 的头像

    uptrace/bun

    4,867在 GitHub 上查看↗

    Bun 是一个 Go 语言的类型安全对象关系映射器(ORM),优先考虑 SQL 优先的查询构建和结果映射。它作为一个可编程 SQL 查询构建器、数据库连接管理器以及将数据库表映射到 Go 结构体的工具。 该项目通过多方言 SQL 支持系统脱颖而出,允许单个代码库通过一致的接口与不同的数据库引擎交互。它包括一个用于查询拦截、分布式跟踪和日志记录的内置数据库可观测性工具,以及一个用于版本化结构变更的模式迁移工具。 该库涵盖了广泛的数据操作,包括批量处理、Upsert、软删除以及多态关联等关系数据的管理。它提供使用公用表表达式(CTE)和窗口函数进行高级 SQL 分析的功能,以及原子事务管理和连接池。 模式管理通过用于应用版本化迁移脚本的命令行界面支持。

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

    Godatabasegogolang
    在 GitHub 上查看↗4,867
  • kimai/kimaikimai 的头像

    kimai/kimai

    4,757在 GitHub 上查看↗

    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
    在 GitHub 上查看↗4,757
  1. Home
  2. Data & Databases
  3. Update Operations
  4. Bulk Update Processing

探索子标签

  • Bulk Map Update Operations2 个子标签Copies 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.