数据库、大数据与 TiDB 的发展先容
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事务执行的前后，全部数据保持的一致性的状态，与cap一致性不一样，cap描写的是副本的一致性。
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TIDB：基于谷歌的F1论文和raft协议实现的。
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B树是一个平衡树，写入数据势必会导致，树的再平衡，是比力昂贵的操作。存在读友爱，写入成本高。
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TIDB采用的是LSM-tree结构用空间换写入延迟，用次序写替换随机写入的数据结构。
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Paxos是分布式一致性的一个代表，至今未被实现。Raft是基于Paxos论文的工业化实现
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Range在分布式下很多情况下都有优势次序、访问查找效率更高、弹性更自由，但会存在热点分片的题目。
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RocksDB具有高度灵活的配置功能,可以通过配置使其运行在各种各样的生产环境,包括纯内存,Flash,硬盘或HDFS。它支持各种压缩算法，并提供了便捷的生产环境维护和调试工具。
RocksDB需要支持高效的point lookup和range scan操作，需要支持配置各种参数在高压力的随机读、随机写或者二者流量都很大时性能调优，基于LSM树数据结构
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TIKV对每个表分配了一个table id 每个所引分配 index id 每一行分配一个row id
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MPP：并行盘算
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https://p9.toutiaoimg.com/large/pgc-image/360d456345d2453e8b510ac41e4c5c9c 转发了 转发了
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