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与 Amazon DynamoDB 全局表的多区域强一致性.pdf

上传人: 明**** 编号:1012596 2025-12-21 87页 629.87KB

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amrith KumarSenior Principal EngineerAmazon Web ServicesSomu PerianayagamSenior Principal Engineer

2、Amazon Web ServicesMulti-Region strong consistency with Amazon DynamoDB global tablesD A T 4 4 0 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Data close to their end users across the world High availability and Business continuity Low-latency access regardless of where users co

3、nnect Scalable architectures that operate across multiple RegionsWhy Multi-Region Data Matters 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Why Multi-Region Data Is HardRegions are physically far apartNetwork round-trip times are measured in tens to hundreds of millisecondsWrit

4、es may occur in multiple Regions simultaneouslyApplications must reason about propagation,ordering,and failover 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Local,independent writes provide:Low latencyConsistent performanceHigh throughputNo cross-Region dependenciesMulti-Region

5、 Trade-offsPredictable Performance vs.ConsistencyCoordinated global writes provide:Deterministic ordering across RegionsStronger cross-Region read behaviorStrictly serializable reads and writes globally 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Multi-Region Trade-offsRPO vs.

6、RTO 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Agenda01 Amazon DynamoDB consistency model02 Multi-Region consistency use cases03 How Async&MRSC Global Tables Work04 Demo:How MRSC works 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Strong consistency Event

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根据报告的内容,全文主要内容概括如下: 1. **多区域数据的重要性**: - 数据靠近全球用户,提高访问速度。 - 高可用性和业务连续性。 - 低延迟访问,无论用户连接位置。 - 可扩展架构,跨多个区域运行。 2. **多区域数据挑战**: - 地理位置相隔遥远。 - 网络往返时间在数十到数百毫秒。 - 多区域同时写入。 - 应用需处理传播、排序和故障转移。 3. **多区域一致性模型**: - 强一致性:数据在所有区域立即一致。 - 最终一致性:数据最终一致,但可能存在短暂的不一致。 - 读你写的一致性:读取操作总是看到最新的写入。 - 单调读取:读取操作总是返回相同的或更新的数据。 4. **异步全局表与多区域强一致性全局表**: - 异步全局表:低延迟,但可能存在数据不一致。 - 多区域强一致性全局表:严格一致性,但可能在高可用性方面有所牺牲。 5. **选择合适的全局表模型**: - 根据工作负载需求选择合适的模型,如低延迟或严格一致性。
**多区域数据优势** **DynamoDB一致性模型解析** **异步与强一致性全局表对比**
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