Awesome GitHub RepositoriesDatabase Integrity Verification

Sled is an embedded key-value store and ACID-compliant database designed for high-performance data persistence. It functions as a log-structured storage engine that organizes data using B+ trees to support efficient range queries and prefix scans. The engine implements a zero-copy data store model, utilizing epoch-based reclamation to provide direct references to cached values without memory allocations. It distinguishes itself through a combination of write-ahead logging, page cache optimizations to reduce write amplification on flash storage, and serializable transactions for atomic multi-k

LMCache is a distributed key-value cache manager and tiering system designed to accelerate large language model inference. It functions as a tiered storage layer that offloads tensors from GPU memory to CPU RAM, local disks, or remote object stores, enabling the reuse of cached prefixes across different inference sessions and serving engines. The system differentiates itself through a disaggregated prefill-decode model, which separates prompt processing from token generation by transferring caches between distributed compute nodes. It utilizes peer-to-peer orchestration to share and retrieve

Ce projet est une ressource éducative complète et un guide pour apprendre le système de contrôle de version Git. Il sert de source de documentation technique pour un manuel qui explique les fondamentaux, les workflows avancés et l'architecture interne de Git. Le projet est structuré comme un e-book multi-format, avec des fichiers sources conçus pour être compilés dans divers formats de publication numérique, incluant HTML, PDF, EPUB et Mobi. Il utilise un pipeline de build dédié pour générer et valider ces documents. Le contenu couvre un large éventail de capacités de contrôle de version, incluant la manipulation de l'historique, l'administration de dépôt et l'intégration système. Il fournit des instructions guidées sur la gestion des workflows—tels que le branching, le merging et le rebasing—et analyse la mécanique interne du système de fichiers adressable par contenu et le versioning basé sur des instantanés.

Pigsty is a full-stack orchestration suite for deploying, monitoring, and managing high-availability PostgreSQL clusters and their supporting infrastructure. It functions as a cluster management platform and high-availability suite that automates failover, manages virtual IPs, and ensures data consistency through distributed consensus. The project distinguishes itself by providing a comprehensive database infrastructure-as-code framework and a dedicated observability stack. It incorporates a backup and recovery manager supporting point-in-time recovery via S3-compatible object storage, alongs

test_db is a collection of tools for validating database integrity, benchmarking system throughput, and generating synthetic schemas and datasets. It includes a sample corporate employee database for MySQL, a SQL dataset generator for creating representative records, and an integrity validator that uses checksums and record counts to verify data consistency across different database engines. The project provides a database performance benchmark consisting of complex queries and stored procedures designed to measure system response times and throughput. These tools simulate real-world workload