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持续可用与CAP理论 – 一个系统开发者的观点. Posted by chuanhui on 2015 年 04 月 21 日. C Consistency A read is guaranteed to return the most recent write for a given client. A Availability A non-failing node will return a reasonable response within a reasonable amount of time (no error or timeout). P Partition Tolerance The system will continue to function when network partitions occur. 左图中,假设有两个节点N1和N2,N1和N2之间发生了网络分区 P ,N1写入新值y,N2一直是老值x,为了保证一致性 C ,读取N2总是返回失败,违反了可用性 A 要求 任何一个没有发生故障的节点必须在有限时间内返回结果,不允许为Error或者Timeout,系统只能保证CP。

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NOSQL Notes | nosqlnotes.net Reviews
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持续可用与CAP理论 – 一个系统开发者的观点. Posted by chuanhui on 2015 年 04 月 21 日. C Consistency A read is guaranteed to return the most recent write for a given client. A Availability A non-failing node will return a reasonable response within a reasonable amount of time (no error or timeout). P Partition Tolerance The system will continue to function when network partitions occur. 左图中,假设有两个节点N1和N2,N1和N2之间发生了网络分区 P ,N1写入新值y,N2一直是老值x,为了保证一致性 C ,读取N2总是返回失败,违反了可用性 A 要求 任何一个没有发生故障的节点必须在有限时间内返回结果,不允许为Error或者Timeout,系统只能保证CP。
<META>
KEYWORDS
1 关于作者
2 nosql notes
3 专注于分布式存储&计算技术及其应用
4 rss feed
5 0 comments
6 持续可用
7 当然,这里的恢复服务是以保证强一致性作为前提条件的
8 cap理论
9 由于分区可容忍性是不可选择的,因此,系统设计时只能在一致性和可用性之间权衡
10 这就带来了一个很悲观的结论 持续可用无法实现
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关于作者,nosql notes,专注于分布式存储&计算技术及其应用,rss feed,0 comments,持续可用,当然,这里的恢复服务是以保证强一致性作为前提条件的,cap理论,由于分区可容忍性是不可选择的,因此,系统设计时只能在一致性和可用性之间权衡,这就带来了一个很悲观的结论 持续可用无法实现,然而,事实是这样吗,首先,我们回到cap理论的原始定义,cap理论的证明也比较直观,如下,cap理论本身毋庸置疑,证明可以参考gilbert和lynch合著的 论文,cap中的a与高可用的ha,强同步性能
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NOSQL Notes | nosqlnotes.net Reviews

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持续可用与CAP理论 – 一个系统开发者的观点. Posted by chuanhui on 2015 年 04 月 21 日. C Consistency A read is guaranteed to return the most recent write for a given client. A Availability A non-failing node will return a reasonable response within a reasonable amount of time (no error or timeout). P Partition Tolerance The system will continue to function when network partitions occur. 左图中,假设有两个节点N1和N2,N1和N2之间发生了网络分区 P ,N1写入新值y,N2一直是老值x,为了保证一致性 C ,读取N2总是返回失败,违反了可用性 A 要求 任何一个没有发生故障的节点必须在有限时间内返回结果,不允许为Error或者Timeout,系统只能保证CP。

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AWS云平台系列介绍(一):AWS平台与EC2介绍 | NOSQL Notes

http://www.nosqlnotes.net/archives/250

Posted by chuanhui on 2012 年 04 月 05 日. 计算类 包含弹性计算云 EC2 和弹性MapReduce Elastic MapReduce 这两个产品。 工具支持 AWS支持多种开发语言,提供Java、Rupy、Python、PHP、Windows &.NET 以及Android和iOS的工具集。 它将区域分为两种 地理区域 Region Zone 和可用区域 Availability Zone ,其中地理区域是按照实际的地理位置划分的,而可用区域一般是按照数据中心划分的。 用户将Web应用上传到EC2实例中,EC2一般分成多个自动扩展 Auto Scaling 组,并通过弹性负载均衡 Elastic Load Balancing 组件进行负载均衡。 AMI Amazon Machine Image 是Amazon虚拟机镜像文件,它是一个可以将用户的应用程序、配置等一起打包的加密机器镜像。 每个实例自身包含一个本地存储模块 Instance Local Store ,临时存放用户数据。 持续可用与CAP理论 – 一个系统开发者的观点 →.

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Oceanbase – 千亿级海量数据库 | NOSQL Notes

http://www.nosqlnotes.net/archives/170

Oceanbase – 千亿级海量数据库. Posted by chuanhui on 2011 年 04 月 22 日. 我在数据库大会有一个报告 Oceanbase – 千亿级海量数据库 ,ppt已上传到 Slideshare. Amazon的系统实现了一个分布式哈希表,而Google Bigtable, Yahoo PNUTS,Microsoft SQL Azure实现了一颗分布式B 树。 更新操作改变系统的状态,数据库系统中更新操作首先以事务提交日志 MySQL称为binlog, NOSQL称为commit log 写入到磁盘,为了保证可靠性,commit log需要复制多份并保证它们之间的一致性。 由于底层有GFS保证可靠性,Google Bigtable设计时保证每一个子表同时只被一台机器(Tablet Server)服务 Yahoo PNUTS通过引入复杂的两节点提交(Two-phase commit)协议协调多个副本之间的一致性,使得他们的分裂点相同 Microsoft SQL Azure干脆不支持子表分裂,牺牲一部分扩展性从而简化系统设计。 A href= title= abbr ti...

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持续可用与CAP理论 – 一个系统开发者的观点 | NOSQL Notes

http://www.nosqlnotes.net/archives/333

持续可用与CAP理论 – 一个系统开发者的观点. Posted by chuanhui on 2015 年 04 月 21 日. C Consistency A read is guaranteed to return the most recent write for a given client. A Availability A non-failing node will return a reasonable response within a reasonable amount of time (no error or timeout). P Partition Tolerance The system will continue to function when network partitions occur. 左图中,假设有两个节点N1和N2,N1和N2之间发生了网络分区 P ,N1写入新值y,N2一直是老值x,为了保证一致性 C ,读取N2总是返回失败,违反了可用性 A 要求 任何一个没有发生故障的节点必须在有限时间内返回结果,不允许为Error或者Timeout,系统只能保证CP。

4

跨机房问题 | NOSQL Notes

http://www.nosqlnotes.net/archives/232

Posted by chuanhui on 2011 年 08 月 23 日. 这里的难点在于Tablet Server宕机时,某些操作日志还没有完成同步,因此,操作日志同步点也需要记录到GFS中,当其它Tablet Server加载宕机Tablet Server原先服务的tablet时,将继续发送没有同步完成的操作日志到备机房。 Google App Engine目前依赖于Google Megastore,解决了机房宕机可能破坏行事务的问题。 Why not look here. 2011 年 08 月 24 日 上午 8:36. 2011 年 08 月 24 日 上午 8:43. 2011 年 08 月 24 日 上午 9:51. 2011 年 08 月 24 日 下午 1:30. 2011 年 08 月 24 日 下午 1:36. 2011 年 09 月 02 日 下午 7:01. 2011 年 09 月 28 日 下午 2:39. 2011 年 10 月 12 日 下午 7:55. 2011 年 12 月 01 日 下午 4:12. 2011 年 12 月 09 日 下午 11:34.

5

Amazon Dynamo – 纠结的设计 | NOSQL Notes

http://www.nosqlnotes.net/archives/159

Amazon Dynamo – 纠结的设计. Posted by chuanhui on 2011 年 03 月 22 日. 从09年第一次阅读Dynamo论文,到最近阅读Amazon S3的一篇专利,一路过来对论文的理解可以简单归结为两个字 – 纠结。 第一次看到Amazon Dynamo论文,有一种眼前一亮的感觉,Dynamo通过巧妙地组合一些P2P技术在Amazon构建了一个工程上可行的系统,CAP,NWR, Vector Clock一时成为流行词,更为神奇的是,Dynamo号称能够让用户设置不同的NWR策略从而在CAP三者之间获得一个很好的权衡,鱼和熊掌亦可兼得。 而Amazon S3系统的核心基本可以分为两个部分 Blob系统存储对象(Object) 类似Dynamo的系统存放Keymap,即”Key = Object在Blob系统中的存放位置”之间的映射关系。 8221;Eventually Consistency”是从Dynamo这个系统开始流行起来的。 Amazon S3 & Simpledb内部实现分析 →. 2011 年 03 月 23 日 上午 9:32. 后来的Cassandra...

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Cassandra 0.8.0流程分析(1)——CassandraDaemon启动流程 | Hycz's Blog

https://hycz.wordpress.com/2011/11/07/cassandradaemon_activate_process

Life is a game. Why so serious? Cassandra 0.8.0流程分析 1 CassandraDaemon启动流程. On November 7, 2011. Public static void main(String[] args) { new CassandraDaemon().activate(); }. 全名orgapache.cassandra.config.DatabaseDescriptor。 第2部分是建立各种system tables,这些系统表的配置是直接写在代码中的 hardcode ,而不是从配置中读取。 Persistent metadata for the local node,本节点的持久化元数据. Individual schema mutations,单个 schema改变. Current state of the schema,当前schema状态. Indexes that have been completed,已完成索引. NodeId and their metadat. Hardcoded system tables KS...

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Document | Dataing 数据驱动未来

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Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. 买买买 11 months ago. 显示 该方案自10月1日起开放服务,剩余流量可转结至下月使用 开通方式为系统默 11 months ago. 7 Tips to Succeed with Big Data in 2014 Big Data Analytics News bigdataanalyticsnews.com/7-tips-succeed.

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KDD Cup 2011讨论区 | Dataing 数据驱动未来

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KDD Cup http:/ kddcup.yahoo.com/index.php. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. 买买买 11 months ago. 显示 该方案自10月1日起开放服务,剩余流量可转结至下月使用 开通方式为系统默 11 months ago. 再次来临 3 years ago. 通过访问 WordPress.com 创建免费网站或博客.

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支付宝2011春季实习生招聘正式启动 | Dataing 数据驱动未来

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Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. 买买买 11 months ago. 显示 该方案自10月1日起开放服务,剩余流量可转结至下月使用 开通方式为系统默 11 months ago. 7 Tips to Succeed with Big Data in 2014 Big Data Analytics News bigdataanalyticsnews.com/7-tips-succeed.

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社会网络分析:探索人人网好友推荐系统 | Dataing 数据驱动未来

https://dataing.wordpress.com/2011/04/29/社会网络分析:探索人人网好友推荐系统

作者 陈逸波. 社会网络分析 探索人人网好友推荐系统. 统计之都, 2011.04. URL: http:/ cos.name/2011/04/exploring-renren-social-network/. Http:/ friend.renren.com/GetFriendList.do? Net1), 10), ]. 其中,第一行数据表示 沈叶 与 邢凤婷 是好友关系,id0与id1为相应的用户id。 Net11 = net.1[net.1[, 1]! Net12 = net.1.1[net.1.1[, 4] %. Net11[, 2], ]. Ff = net.1.2[,. D = ff, directed = F). Png("net.png", width = 500, height = 500). Gg, layout = layout.fruchterman.reingold, vertex.size = 5, vertex.label =. 05), edge.arrow.mode =. Name = com$labels, sg = com$mem). Sg[sg[,2] = 10...

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[转]Paxos算法1-算法形成理论 | Hycz's Blog

https://hycz.wordpress.com/2012/02/27/转paxos算法1-算法形成理论

Life is a game. Why so serious? On February 27, 2012. 原文转自 http:/ www.cnblogs.com/chen77716/archive/2011/01/27/2130804.html. 除了Lamport的几篇论文,对Paxos算法描述比较简洁的中文文章是 http:/ zh.wikipedia.org/zh-cn/Paxos%E7%AE%97%E6%B3%95. NoSQL领域 一致性更强调 能读到新写入的 ,就是读写一致性. 数据库领域 一致性强调 所有的数据状态一致 ,经过一个事务后,如果事务成功,所有的表数据都按照事务中的SQL进行了操作,该修改的修改,该增加的增加,该删除的删除,不能该修改的修改了,该删除的没删掉 如果事务失败,所有的数据还是在初始状态. Only a single value is chosen. P1 An acceptor must accept the first proposal that it receives. 如果 P1 和 P2 都能够保证,那么约束2就能够保证. 这是一个泛泛的描述,但如果这个描...

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[转]Paxos算法2-算法过程 | Hycz's Blog

https://hycz.wordpress.com/2012/02/27/转paxos算法2-算法过程

Life is a game. Why so serious? On February 27, 2012. 原文转自 http:/ www.cnblogs.com/chen77716/archive/2011/01/30/2130803.html. 8212;—–低编号(L N)——– ——–当前编号(N)——– ——–高编号(H N)——–. An acceptor can accept a proposal numbered n iff it has not responded to a prepare request having a number greater than n. B 如果acceptor发现n是它已回复的请求中编号最大的,它会回复它已accept的最大的proposal和对应的value 如果有 同时还附有一种承诺 不会批准编号小于n的proposal. A 如果proposer接收到了多数派的回应,它发送一个accept消息到 编号为n,value v的proposal 到acceptor的多数派 可以与prepare的多数派不同. S = m*n i. You are com...

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[转]PaxosLease | Hycz's Blog

https://hycz.wordpress.com/2012/02/27/转paxoslease

Life is a game. Why so serious? On February 27, 2012. 原文转自 http:/ www.cnblogs.com/chen77716/archive/2011/03/21/2130800.html. 所有的实现都指向一个Leader/Master,但Master的选举又该如何实现 如果继续采用paxos那性能和活锁又该如何解决 这个似乎 是个递归问题,用paxos解决paxos遇到的问题。 一种可行的方案是给锁加个时间 Lease ,拿 到锁的Master只能在Lease有效期内访问锁定的资源,在Lease timeout后,其他Node可以继续竞争锁,这就从根本上避免了死锁。 关于Lease更多的请参考 http:/ research.microsoft.com/en-us/um/people/blampson/58-consensus/webpage.html. M 全局Lease时间,要确保 M T. 如果msgballot number local.promisedBallotNumber,则发送拒绝消息. You are commenting ...

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分析是一种状态 | Dataing 数据驱动未来

https://dataing.wordpress.com/2011/04/16/分析是一种状态

Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. 买买买 11 months ago. 显示 该方案自10月1日起开放服务,剩余流量可转结至下月使用 开通方式为系统默 11 months ago. 7 Tips to Succeed with Big Data in 2014 Big Data Analytics News bigdataanalyticsnews.com/7-tips-succeed.

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[转]Paxos算法3-实现探讨 | Hycz's Blog

https://hycz.wordpress.com/2012/02/27/转paxos算法3-实现探讨

Life is a game. Why so serious? On February 27, 2012. 原文转自 http:/ www.cnblogs.com/chen77716/archive/2011/02/04/2130802.html. 这里还要强调一点的是,仅每个proposer按自己的规则提高编号是不够的,还必须了解 外面 的最大编号是多少,例如,P1、P2、P3 请参考 Paxos算法2#再论编号问题 编号唯一性. 当P3提交proposal时发现已经有更大的编号16 16是P2提出的,按规则 5*3 1. P3发起新编号时必须保证new no 16,按照前面的规则必须选择 5*3 2 = 17,而不能仅按自己的规则选择 1*3 2=5. 原因 本次选举 instance 已经有提案了,虽未获通过,但以后的提案应该继续之前的,Lamport在paxos simple的论文中选择这种方式。 持久化的目的是在proposer server宕机 苏醒 时,可以继续参与paxos过程。 Leave a Reply Cancel reply. Enter your comment here.

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NOSQL Notes

持续可用与CAP理论 – 一个系统开发者的观点. Posted by chuanhui on 2015 年 04 月 21 日. C Consistency A read is guaranteed to return the most recent write for a given client. A Availability A non-failing node will return a reasonable response within a reasonable amount of time (no error or timeout). P Partition Tolerance The system will continue to function when network partitions occur. 左图中,假设有两个节点N1和N2,N1和N2之间发生了网络分区 P ,N1写入新值y,N2一直是老值x,为了保证一致性 C ,读取N2总是返回失败,违反了可用性 A 要求 任何一个没有发生故障的节点必须在有限时间内返回结果,不允许为Error或者Timeout,系统只能保证CP。

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NoSQL Exploitation Framework Project

For the First Time Ever. A Scanning and Pwnage Framework for NoSQL Databases. Support for over 5 NoSQL Databases". Learn More on NoSQL. NoSQL databases are Schemaless databases.They are fast,efficient and easy to maintain. The project can be forked directly from Github and update and push to master.Any contribution to the framework would be great. FeedBack for the project is greatly valued and any suggestion or bugs can be reported @ helofrancis.at.gmaildotcom.

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Take Back Your Data!

Specializes in ElasticSearch development and consulting. You want someone who can come in and get things working quickly. We can also train your people to bring that expertise in house. We actually work with the tools and frameworks on a daily basis. We know what works, what doesn't, and what's on the horizon. We're happy to come and take a look at what you're doing and validate your approach or give you alternate ideas based on where the industry is heading. ELK - ElasticSearch Logstash Kibana - are a p...

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