Version Vectors and Vector Clocks | System Design | High Level Design скачать в хорошем качестве

Version Vectors and Vector Clocks | System Design | High Level Design

Welcome to a concise guide on Version Vectors and Vector Clocks in system design! Join me as I explore these concepts crucial for managing concurrency and consistency in distributed systems. What are Version Vectors and Vector Clocks? Version Vectors: Version vectors are data structures used to track the state of distributed objects in a system. They help in detecting and resolving conflicts by maintaining a vector of version numbers, one for each node in the system. Vector Clocks: Vector clocks are a type of version vector used to capture the causal relationships between events in a distributed system. They help in determining the partial ordering of events and detecting causality. How Version Vectors and Vector Clocks Work 1. Version Vectors: Each node in the system maintains a version vector, which is an array where each element represents the version number of the data known to that node. When a node updates data, it increments its version number in the vector. The updated vector is then propagated to other nodes. Nodes use version vectors to compare versions and resolve conflicts by determining which version is more recent. 2. Vector Clocks: Each node maintains a vector clock, which is an array where each element represents the clock value of the corresponding node. When a node performs an operation, it increments its own entry in the vector clock and includes the updated vector clock in messages sent to other nodes. Vector clocks allow nodes to determine the causal relationship between events by comparing vector clocks. They can identify if events are concurrent or if one event causally precedes another. Consider a distributed database with multiple nodes. Each node maintains a version vector to track the state of data. When Node A updates a record, it increments its version number in its version vector. The updated vector is sent to other nodes, allowing them to compare versions and apply the most recent update. If Node B also updates the same record, both nodes use their version vectors to resolve the conflict and synchronize their data. Follow ‪@ReactifyLabs‬ for more Amazon, Apple, Facebook, Meta, Netflix, Google #consistency #strongconsistency #eventualconsistency #consistencymodels #SystemDesign #SoftwareArchitecture #SystemArchitecture #DesignPatterns #ScalableSystems #DistributedSystems #MicroservicesArchitecture #LargeScaleSystems #TechDesign #SystemScaling #PerformanceEngineering #DesignThinking #ArchitecturalDecisions #HighAvailability #SystemOptimization #CloudArchitecture #InfrastructureDesign #NetworkDesign #DatabaseDesign #SystemReliability #FencingTokens #DistributedSystems #TechTutorial #LearnWithMe #Programming #TechExplained #SoftwareEngineering #Scalability #FaultTolerance #ConcurrencyControl #DistributedDatabases #Consistency #SystemDesign #VersionVectors #VectorClocks #TechTutorial #LearnWithMe #Programming #TechExplained #DistributedSystems #Concurrency #ConflictResolution #DataConsistency #EventOrdering #DatabaseManagement #CollaborationTools