<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[江南水景]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/VectorYang</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; VectorYang]]></copyright><item><title><![CDATA[分布式协同AI基准测试KubeEdge-Ianvs快速入门教程]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/126025276</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/126025276</guid><author>VectorYang</author><pubDate>Thu, 28 Jul 2022 01:43:26 +0800</pubDate><description><![CDATA[分布式协同AI基准测试KubeEdge-Ianvs是KubeEdge SIG AI孵化的一个全新的社区子项目，主要来解决工业界如下核心痛点：1. 业务数据集及其配套算法难以获取；2. 全场景多范式测试成本高；3. 封闭测试环境难以跟上各类新业务孵化；4. 个性场景的测试用例准备繁琐。............]]></description><category></category></item><item><title><![CDATA[Spark内核源码深度剖析：Master注册机制原理剖析与源码分析]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/75205710</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/75205710</guid><author>VectorYang</author><pubDate>Sun, 16 Jul 2017 15:19:19 +0800</pubDate><description><![CDATA[Master注册机制原理剖析和master.scala中Application注册原理代码剖析]]></description><category></category></item><item><title><![CDATA[Spark内核源码深度剖析：Master主备切换机制原理剖析与源码分析]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/74991511</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/74991511</guid><author>VectorYang</author><pubDate>Tue, 11 Jul 2017 18:23:15 +0800</pubDate><description><![CDATA[Master主备切换机制的原理图解和重要源码分析]]></description><category></category></item><item><title><![CDATA[Spark内核源码深度剖析：SparkContext原理剖析与源码分析]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/74729559</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/74729559</guid><author>VectorYang</author><pubDate>Fri, 07 Jul 2017 15:56:19 +0800</pubDate><description><![CDATA[SparkContext原理剖析与源码分析。]]></description><category></category></item><item><title><![CDATA[Spark内核源码深度剖析：基于Yarn的两种提交模式深度剖析]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/74530727</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/74530727</guid><author>VectorYang</author><pubDate>Thu, 06 Jul 2017 11:30:52 +0800</pubDate><description><![CDATA[Spark的三种提交模式：
1、standalone模式，基于Spark自己的Master-Worker集群。 
2、第二种，是基于YARN的yarn-cluster模式。 
3、第三种，是基于YARN的yarn-client模式。]]></description><category></category></item><item><title><![CDATA[Spark内核源码深度剖析：宽依赖与窄依赖深度剖析]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/74388115</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/74388115</guid><author>VectorYang</author><pubDate>Wed, 05 Jul 2017 10:36:41 +0800</pubDate><description><![CDATA[通过WordCount的例子图解深度剖析宽依赖和窄依赖]]></description><category></category></item><item><title><![CDATA[Spark内核源码深度剖析：Spark内核架构深度剖析]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/74301199</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/74301199</guid><author>VectorYang</author><pubDate>Tue, 04 Jul 2017 11:34:55 +0800</pubDate><description><![CDATA[Spark内核构架图解]]></description><category></category></item><item><title><![CDATA[Spark核心编程：高级编程之topn]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/74278028</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/74278028</guid><author>VectorYang</author><pubDate>Mon, 03 Jul 2017 23:06:53 +0800</pubDate><description><![CDATA[案例：对每个班级内的学生成绩，取出前3名1>文件部分数据]]></description><category></category></item><item><title><![CDATA[Spark核心编程：高级编程之二次排序]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/74012012</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/74012012</guid><author>VectorYang</author><pubDate>Fri, 30 Jun 2017 20:28:22 +0800</pubDate><description><![CDATA[案例说明：
1.按照文件中的第一列排序。 
2.如果第一列相同，则按照第二列排序。]]></description><category></category></item><item><title><![CDATA[Spark核心编程：高级编程之基于排序机制的wordcount程序]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/73878663</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/73878663</guid><author>VectorYang</author><pubDate>Thu, 29 Jun 2017 10:54:03 +0800</pubDate><description><![CDATA[通过一个案例来深入基于排序机制的wordcount程序
案例需求：
1>对文本文件内的每个单词都统计出其出现的次数。 
2>按照每个单词出现次数的数量，降序排序。]]></description><category></category></item><item><title><![CDATA[Spark核心编程：共享变量（Broadcast Variable和Accumulator）]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/73848693</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/73848693</guid><author>VectorYang</author><pubDate>Wed, 28 Jun 2017 15:25:47 +0800</pubDate><description><![CDATA[Spark的编程核心：共享变量Broadcast Variable和Accumulator的工作原理和编程案例介绍。]]></description><category></category></item><item><title><![CDATA[Spark核心编程：RDD持久化详解]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/73776311</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/73776311</guid><author>VectorYang</author><pubDate>Tue, 27 Jun 2017 11:34:03 +0800</pubDate><description><![CDATA[Spark核心编程：RDD持久化详解]]></description><category></category></item><item><title><![CDATA[Spark核心编程：操作RDD（transformation和action案例实战）]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/73744227</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/73744227</guid><author>VectorYang</author><pubDate>Mon, 26 Jun 2017 20:39:52 +0800</pubDate><description><![CDATA[Spark核心编程：操作RDD（transformation和action案例实战）]]></description><category></category></item><item><title><![CDATA[Spark核心编程：创建RDD（集合、本地文件、HDFS文件）]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/73702277</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/73702277</guid><author>VectorYang</author><pubDate>Sun, 25 Jun 2017 11:23:25 +0800</pubDate><description><![CDATA[Spark核心编程：创建RDD（集合、本地文件、HDFS文件）]]></description><category></category></item><item><title><![CDATA[Spark核心编程：Spark架构原理]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/73564960</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/73564960</guid><author>VectorYang</author><pubDate>Thu, 22 Jun 2017 10:47:23 +0800</pubDate><description><![CDATA[Spark架构原理图形详解]]></description><category></category></item><item><title><![CDATA[Spark核心编程：使用Java和Scala开发wordcount程序]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/73556560</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/73556560</guid><author>VectorYang</author><pubDate>Wed, 21 Jun 2017 22:53:51 +0800</pubDate><description><![CDATA[基于spark，使用Java和Scala开发wordCount程序，并深度剖析wordCount程序的原理。]]></description><category></category></item><item><title><![CDATA[spark的基本工作原理和RDD]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/73321539</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/73321539</guid><author>VectorYang</author><pubDate>Fri, 16 Jun 2017 09:42:09 +0800</pubDate><description><![CDATA[spark的基本工作原理和RDD]]></description><category></category></item><item><title><![CDATA[office图标显示异常和新建时图标没有显示等问题解决]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/72925285</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/72925285</guid><author>VectorYang</author><pubDate>Thu, 08 Jun 2017 16:40:12 +0800</pubDate><description><![CDATA[office图标显示异常和新建时图标没有显示等问题解决]]></description><category></category></item><item><title><![CDATA[Scala-基础语法]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/72861033</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/72861033</guid><author>VectorYang</author><pubDate>Sun, 04 Jun 2017 20:08:06 +0800</pubDate><description><![CDATA[Scala-基础语法]]></description><category></category></item><item><title><![CDATA[Scala-安装]]></title><link>https://blog.youkuaiyun.com/VectorYang/article/details/72859144</link><guid>https://blog.youkuaiyun.com/VectorYang/article/details/72859144</guid><author>VectorYang</author><pubDate>Sun, 04 Jun 2017 15:20:48 +0800</pubDate><description><![CDATA[详细介绍Scala在windows和Ubuntu中的安装！]]></description><category></category></item></channel></rss>