💾 Designing a Distributed Key-Value Store скачать в хорошем качестве

💾 Designing a Distributed Key-Value Store

This chapter explains how to design a key-value store, beginning with its definition as a non-relational database that pairs unique keys with associated values. It details the characteristics of a robust key-value store, emphasizing high availability, scalability, and tunable consistency, and contrasts single-server limitations with the necessity of distributed systems for handling large data. A significant portion is dedicated to the CAP theorem, outlining the trade-offs between consistency, availability, and partition tolerance in distributed environments. The text further breaks down core components like data partitioning through consistent hashing, data replication, and various consistency models, including the use of quorum consensus and versioning with vector clocks for resolving inconsistencies. Finally, it addresses failure handling strategies like gossip protocol for detection, sloppy quorum, hinted handoff, and anti-entropy with Merkle trees for data synchronization, culminating in an overview of the system's architecture and the write and read paths.