随笔分类 - data
摘要:w Parsing Huge XML Files Incrementally Parsing Huge XML Files Incrementally Parsing Huge XML Files Incrementally http://pclib.github.io/safari/program
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摘要:w yaoxing.zhang@mongodb.com 转变思路:根据读写模式而不是范式设计数据模型积累经验:了解常见的数据结构对应的模式理解思想:数据是应用的一部分,随应用一起迭代 模式演化{_id: Object Id(“…”),level: “Fatal”,message: “Shit jus
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摘要:The prototypical MapReduce example counts the appearance of each word in a set of documents:[14] Here, each document is split into words, and each wor
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摘要:w https://en.wikipedia.org/wiki/Extract,_transform,_load
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摘要:w 关于时间序列数据库的思考-CSDN.NET http://www.csdn.net/article/2015-07-13/2825192 存储和处理时间序列数据(“Time Series Databases”第三章) https://segmentfault.com/a/119000000279
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摘要:连通 距离 直径 离心率 eccentricity diameter https://zh.wikipedia.org/wiki/图论术语 如何学习数据结构? - 知乎 https://www.zhihu.com/question/21318658/answer/63652147 数据结构的本质就在
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摘要:小结: 1、jpeg这个协议本身就支持调整图片质量的 glup 压缩图片 大图上传 Golang压缩Jpeg图片和PNG图片 - 员力 - 博客园 https://www.cnblogs.com/lianggx6/p/12684885.html
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摘要:http://www.world-english.org/boys_names-j-l.htm w http://ename.dict.cn/list/male/F/4 http://babynames.net/all/starts-with/d?page=2
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摘要:w推测“域名解析过程中,Google crawlers中首先是Googlebo中的Google Web search上阵”。 https://support.google.com/webmasters/answer/1061943?hl=en Crawl Monitor crawling activ
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摘要:http://club.alibabatech.org/salon_detail.htm?salonId=67
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摘要:w 24-1缓存旁置-2断路器模式 https://msdn.microsoft.com/en-us/library/dn568099.aspx Figure 1 - Using the Cache-Aside pattern to store data in the cache Figure 1
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摘要:字符串和整数一一映射的算法 公司每人的英文名不同,现在给每个英文名一个不同的数字编号,怎么设计? 走ipv4/6 2/32 2/128就够了,把“网段”概念对应到“表或库”,ip有a_e5类,这概念都可以引过来 和 时间 年月日 店铺 sellid marketplaceid amazon 平台参数
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摘要:w公共查询表复制至每一个碎片 http://www.agildata.com/database-sharding/ In the Bookstore example, the Primary Shard Table is the ‘customer’ entity. This is the tabl
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摘要:w横切 http://www.agildata.com/database-sharding/ When Database Sharding is Appropriate Database Sharding is an excellent fit for many types of business
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摘要:w分布式查询、数据聚合、跨碎片join是可且应避免的、自增主键管理、基于-会话/事务/语句-选择碎片、通过-主键/模块/碎片索引-碎片化数据 http://www.agildata.com/database-sharding/ Database Sharding Challenges Due to
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摘要:w将单个服务器上的单个数据库打碎为多个服务器上的单个数据库 http://www.agildata.com/database-sharding/ Database Sharding provides a method for scalability across independent server
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摘要:w主写从读、集群节点间时时内存复制、单表横切纵切、分析报表系统通过服务器联表 http://www.agildata.com/database-sharding/ Database Partitioning Options It has long been known that database p
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摘要:wIO瓶颈 http://www.agildata.com/database-sharding/ What Drives the Need for Database Sharding? Database Sharding is a highly scalable approach for impro
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摘要:w玻璃碎片、0共享 http://www.agildata.com/database-sharding/ The Rise of Database Sharding The concept of Database Sharding has been gaining popularity over t
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