5 مستودعات
Internal mechanisms for verifying data consistency and detecting corruption via checksums across the entire store.
Distinct from Data Integrity Verification: Distinct from Data Integrity Verification [f19_mt1]: focuses on internal database checksums rather than external record auditing.
Explore 5 awesome GitHub repositories matching data & databases · Database Integrity Verification. Refine with filters or upvote what's useful.
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
Calculates CRC32 checksums of all keys and values to detect database corruption.
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
Computes MD5 checksums over cache blocks to verify data integrity and perform diagnostics.
هذا المشروع عبارة عن مورد تعليمي شامل ودليل لتعلم نظام التحكم في الإصدار Git. يعمل كمصدر توثيق تقني لكتاب مدرسي يشرح الأساسيات، وتدفقات العمل المتقدمة، والبنية الداخلية لـ Git. تم تنظيم المشروع ككتاب إلكتروني متعدد التنسيقات، مع ملفات مصدرية مصممة ليتم تجميعها في تنسيقات نشر رقمية مختلفة، بما في ذلك HTML وPDF وEPUB وMobi. يستخدم خط أنابيب بناء مخصصاً لتوليد هذه المستندات والتحقق منها. يغطي المحتوى مجموعة واسعة من قدرات التحكم في الإصدار، بما في ذلك معالجة التاريخ، وإدارة المستودع، وتكامل النظام. يوفر تعليمات موجهة حول إدارة تدفق العمل—مثل التفرع، والدمج، وإعادة التأسيس—ويحلل الآليات الداخلية لنظام الملفات القابل للعنونة بالمحتوى وإصدار اللقطات.
Explains internal mechanisms for verifying data consistency and detecting corruption via checksums in the Git database.
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
Detects silent corruption using internal data checksums and recovers damaged blocks from available replicas.
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
Provides a tool that uses checksums and record counts to verify data consistency across different database engines.