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分布式系统的常见数据场景:复制(Replication)、分区(Partitioning)和事务(Transactions) --《设计数据密集型应用》读书笔记
复制和分区是把数据分布在多台机器节点上的两种通用方式。其中,复制是把相同的数据复制一份放到多个不同的节点上(常常是物理上的不同地点),以数据冗余的方式提供系统的高可用(HA)和高性能;分区是把一个大的数据库拆分成一个个小的子集(叫partition),把它们分布到多个节点上。两者常常伴随一起使用。
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分布式系统的常见数据场景:复制(Replication)、分区(Partitioning)和事务(Transactions) --《设计数据密集型应用》读书笔记
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