<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[snowlee的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/snowlee</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; snowlee]]></copyright><item><title><![CDATA[Hadoop集群硬件推荐]]></title><link>https://blog.youkuaiyun.com/snowlee/article/details/6974687</link><guid>https://blog.youkuaiyun.com/snowlee/article/details/6974687</guid><author>snowlee</author><pubDate>Tue, 15 Nov 2011 21:23:19 +0800</pubDate><description><![CDATA[From: 
http://www.cloudera.com/blog/2010/03/clouderas-support-team-shares-some-basic-hardware-recommendations/


The first question our customers raise when getting started with Hadoop is about se]]></description><category></category></item><item><title><![CDATA[hadoop能做什么?]]></title><link>https://blog.youkuaiyun.com/snowlee/article/details/6951200</link><guid>https://blog.youkuaiyun.com/snowlee/article/details/6951200</guid><author>snowlee</author><pubDate>Wed, 09 Nov 2011 10:09:46 +0800</pubDate><description><![CDATA[http://blog.nosqlfan.com/html/3395.html

Hadoop作为大数据存储及计算领域的一颗明星，目前已经得到越来越广泛的应用。下面PPT主要分析了Hadoop的一些典型应用场景，并对其进行了深入分析，主要包括下面几个方面：

日志处理: Hadoop擅长这个抓住本拉登: 并行计算ETL: 每个人几乎都在做ETL（Extract-Transform-Load]]></description><category></category></item><item><title><![CDATA[Hadoop集群注意事项--随笔]]></title><link>https://blog.youkuaiyun.com/snowlee/article/details/6686475</link><guid>https://blog.youkuaiyun.com/snowlee/article/details/6686475</guid><author>snowlee</author><pubDate>Sun, 14 Aug 2011 18:35:38 +0800</pubDate><description><![CDATA[虽然Hadoop构建在commodity hardware之上,但仍有许多注意点,这里建议创建Hadoop集群时考虑以下几点:
1. 建议不要Raid,特别是软Raid,在hadoop的conf里设置replica为3左右会比较好
2. 系统最好有多个硬盘组成盘阵,类似Rai]]></description><category></category></item><item><title><![CDATA[配置Hadoop M/R 采用Fair Scheduler算法代替FIFO]]></title><link>https://blog.youkuaiyun.com/snowlee/article/details/6640074</link><guid>https://blog.youkuaiyun.com/snowlee/article/details/6640074</guid><author>snowlee</author><pubDate>Thu, 28 Jul 2011 10:31:48 +0800</pubDate><description><![CDATA[采用Cloudera版本的hadoop/hbase:hadoop-0.20.2-cdh3u0hbase-0.90.1-cdh3u0zookeeper-3.3.3-cdh3u0默认已支持FairScheduler调度算法.只需改配置使期用FairSchedule而非默认的JobQu]]></description><category></category></item></channel></rss>