Voldemort

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Voldemort is a distributed key-value storage system.
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Voldemort 是一个分布式 key-value 存储系统。
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[[Image:Voldemort-logical-Architecture.png|right|thumb|Voldemort Logical Architecture]]
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==Functions==
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*Data is automatically replicated over multiple servers.
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*Data is automatically partitioned so each server contains only a subset of the total data
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*Server failure is handled transparently
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*Pluggable serialization is supported to allow rich keys and values including lists and tuples with named fields, as well as to integrate with common serialization frameworks like Protocol Buffers, Thrift, and Java Serialization
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*Data items are versioned to maximize data integrity in failure scenarios without compromising availability of the system
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*Each node is independent of other nodes with no central point of failure or coordination
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*Good single node performance: you can expect 10-20k operations per second depending on the machines, the network, the disk system, and the data replication factor
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*Support for pluggable data placement strategies to support things like distribution across data centers that are geographical far apart.
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[[Image:Voldemort-Physical-Architecture.png|right|thumb|Voldemort Physical Architecture]]
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It is used at [http://www.linkedin.com/ LinkedIn] for certain high-scalability storage problems where simple functional partitioning is not sufficient.
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==Links==
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==图集==
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*http://project-voldemort.com
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<gallery widths=100px heights=100px perrow=6>
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Image:Voldemort-logical-Architecture.png|逻辑架构
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Image:Voldemort-Physical-Architecture.png|物理架构
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Image:voldemort-hash-ring.png|Hash环
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Image:linkedin-data-cycle.png|TB级的数据周期
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Image:voldemort-data-format.png|数据格式
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Image:voldemort-store-build-process.png|只读存储构建和交换流程
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</gallery>
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==链接==
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*[http://project-voldemort.com/ Voldemort主页]
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[[Category:NoSQL]]
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[[Category:LinkedIn]]
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[[Category:Java]]

2011年6月17日 (五) 05:25的最后版本

Voldemort 是一个分布式 key-value 存储系统。

[编辑] 图集

  • 逻辑架构

  • 物理架构

  • Hash环

  • TB级的数据周期

  • 数据格式

  • 只读存储构建和交换流程

[编辑] 链接

来自“http://wiki.huihoo.com/wiki/?title=Voldemort&oldid=47863”
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