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4 مستودعات

Awesome GitHub RepositoriesSQL Batching

Groups multiple SQL statements into a single request to improve performance.

Distinct from Transaction Batching: Distinct from general transaction batching: focuses on SQL statement grouping for network efficiency.

Explore 4 awesome GitHub repositories matching software engineering & architecture · SQL Batching. Refine with filters or upvote what's useful.

Awesome SQL Batching GitHub Repositories

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  • tursodatabase/libsqlالصورة الرمزية لـ tursodatabase

    tursodatabase/libsql

    16,887عرض على GitHub↗

    LibSQL is a high-performance, distributed SQL database engine that extends SQLite to support remote network access, edge computing, and real-time synchronization. It functions as an embedded database library that integrates directly into application processes while providing the infrastructure to maintain consistency across multiple geographic regions. The platform distinguishes itself by enabling database interaction over standard HTTP protocols, allowing applications to query remote data sources in serverless and edge environments without requiring local filesystem access. It includes nativ

    Groups multiple SQL statements into a single request to improve performance and reduce latency.

    Cdatabaseembedded-databaserust
    عرض على GitHub↗16,887
  • ccgus/fmdbالصورة الرمزية لـ ccgus

    ccgus/fmdb

    13,851عرض على GitHub↗

    fmdb is an object-oriented SQLite database library and persistence layer for native macOS and iOS environments. It provides an Objective-C wrapper that encapsulates the low-level C API, allowing applications to manage local relational data storage and embedded database connections through a high-level interface. The library focuses on thread-safe database access by synchronizing operations across multiple threads using serialized queues to prevent data corruption and race conditions. It includes specialized capabilities for secure local storage, such as database encryption and the management

    Supports processing multiple semicolon-separated SQL statements in a single call for efficient execution.

    Objective-C
    عرض على GitHub↗13,851
  • pressly/gooseالصورة الرمزية لـ pressly

    pressly/goose

    10,197عرض على GitHub↗

    Goose is a database schema versioning system and SQL migration tool designed for Go applications. It functions as a framework for tracking and applying incremental database changes through versioned SQL scripts, ensuring consistency across different environments. The project distinguishes itself by providing a build-time capability to exclude unused database drivers to optimize binary size and a filesystem abstraction that allows migration scripts to be bundled directly into a compiled executable. It also supports out-of-order execution logic to apply missing scripts that were created after a

    Treats blocks of SQL as single execution units to handle complex statements containing internal semicolons.

    Godatabasedatabase-migrationsgo
    عرض على GitHub↗10,197
  • go-pg/pgالصورة الرمزية لـ go-pg

    go-pg/pg

    5,785عرض على GitHub↗

    pg is a PostgreSQL object-relational mapper (ORM) for Go that maps Go structs to database tables and provides a fluent query builder for constructing SQL statements programmatically. At its core, it automatically generates CREATE TABLE statements from Go struct definitions using struct tags and naming conventions, and builds queries through method chaining with placeholder-based parameter binding to prevent SQL injection. The library distinguishes itself through relation-aware join generation that automatically constructs JOIN clauses for has-one, has-many, many-to-many, and polymorphic assoc

    Combines multiple row insertions, updates, or deletions into single SQL statements to reduce round trips.

    Go
    عرض على GitHub↗5,785
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  2. Software Engineering & Architecture
  3. Transaction Batching
  4. SQL Batching

استكشف الوسوم الفرعية

  • Semicolon-Aware GroupingLogic to parse SQL blocks as single units to prevent splitting complex statements containing internal semicolons. **Distinct from SQL Batching:** Distinct from SQL Batching as it focuses on syntactic parsing integrity rather than network request efficiency.