<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[sunflower_cao的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/sunflower_cao</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; sunflower_cao]]></copyright><item><title><![CDATA[sqoop的安装与使用]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/40348721</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/40348721</guid><author>sunflower_cao</author><pubDate>Tue, 21 Oct 2014 18:44:54 +0800</pubDate><description><![CDATA[Sqoop即 SQL to Hadoop ，是一款方便的在传统型数据库与Hadoop之间进行数据迁移的工具，充分利用MapReduce并行特点以批处理的方式加快数据传输，发展至今主要演化了二大版本，Sqoop1和Sqoop2。 

Sqoop工具是hadoop下连接关系型数据库和Hadoop的桥梁，支持关系型数据库和hive、hdfs，hbase之间数据的相互导入，可以使用全表导入和增量导入。

那么为什么选择Sqoop呢？ 
高效可控的利用资源，任务并行度，超时时间。 数据类型映射与转化，可自动进行，用户]]></description><category></category></item><item><title><![CDATA[mysql load 从文件读入数据提示ERROR 1148]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/40347461</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/40347461</guid><author>sunflower_cao</author><pubDate>Tue, 21 Oct 2014 17:01:28 +0800</pubDate><description><![CDATA[创建数据表CREATE TABLE weblogs(
            md5  varchar(32),
            url varchar(64),
            request_date date,
            request_time time,
            ip varchar(15))

我的版本是：Server vers]]></description><category></category></item><item><title><![CDATA[Ubuntu安装摄像头驱动]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/40213345</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/40213345</guid><author>sunflower_cao</author><pubDate>Sat, 18 Oct 2014 18:11:57 +0800</pubDate><description><![CDATA[a) 请根据内核版本和摄像头类型从
http://mxhaard.free.fr/download.html
选择下载最新驱动，该驱动支持市面上大多数摄像头。
b) 编译、安装连同装载摄像头驱动
c) # tar xvzf gspcav1-20061216.tar.gz
# cd gspcav1-20061216
# make
# make install
# modprobe g]]></description><category></category></item><item><title><![CDATA[在Maprecue中利用MultipleOutputs输出多个文件]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/40072865</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/40072865</guid><author>sunflower_cao</author><pubDate>Tue, 14 Oct 2014 10:26:53 +0800</pubDate><description><![CDATA[用户在使用Mapreduce时默认以part-＊命名，M]]></description><category></category></item><item><title><![CDATA[《深入浅出pig系列之一》pig-0.12.0-cdh5.1.2的安装与运行]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/40049621</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/40049621</guid><author>sunflower_cao</author><pubDate>Mon, 13 Oct 2014 19:22:54 +0800</pubDate><description><![CDATA[这里使用的版本是cdh发行的pig-0.12.0-cdh5.1.2 下载地址点这里


1.Pig简介：      


Pig是yahoo捐献给apache的一个项目，它是SQL-like语言，是在MapReduce上构建的一种高级查询语言，把一些运算编译进MapReduce模型的Map和Reduce中，并且用户可以定义自己的功能。这是Yahoo开发的又一个克隆Google的项目:S]]></description><category></category></item><item><title><![CDATA[explore your hadoop data and get real-time results]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/40041203</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/40041203</guid><author>sunflower_cao</author><pubDate>Mon, 13 Oct 2014 11:01:37 +0800</pubDate><description><![CDATA[explore your hadoop data and get real-time results   深度api集成使你大数据访问更加容易]]></description><category></category></item><item><title><![CDATA[Choosing Between ElasticSearch, MongoDB & Hadoop]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/40039499</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/40039499</guid><author>sunflower_cao</author><pubDate>Mon, 13 Oct 2014 09:39:12 +0800</pubDate><description><![CDATA[Choosing Between ElasticSearch, MongoDB & Hadoop]]></description><category></category></item><item><title><![CDATA[kibana显示elasticsearch集群中flume到入的日志]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/39931197</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/39931197</guid><author>sunflower_cao</author><pubDate>Thu, 09 Oct 2014 15:09:28 +0800</pubDate><description><![CDATA[elasticsearch  kibana3安装]]></description><category></category></item><item><title><![CDATA[flume 日志导入elasticsearch]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/39929931</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/39929931</guid><author>sunflower_cao</author><pubDate>Thu, 09 Oct 2014 14:13:50 +0800</pubDate><description><![CDATA[Flume配置
。
flume生成的数据结构


"_index" : "logstash-2013.01.07",
"_type" : "tms_jboss_syslog",
"_id" : "a_M9X_0YSpmE7A_bEzIFiw",
"_score" : 1.0, "_source" : {"@source":"file://localhost.localdomain/tmp]]></description><category></category></item><item><title><![CDATA[Ubuntu好用的词典 星际译王 stardict安装  词典添加]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/39927925</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/39927925</guid><author>sunflower_cao</author><pubDate>Thu, 09 Oct 2014 11:22:37 +0800</pubDate><description><![CDATA[Ubuntu系统默认没有安装Ubuntu星际译王，但Ubuntu系统的软件源中包含了该软件，我们可以使用apt-get命令或新立得软件包管理器来安装该软件。如果当前系统连接到互联网，我们用apt-get命令来安装该软件。在菜单“应用程序”→“附件”下找到“终端”项，用鼠标单击该项，则打开一个 GNOME终端窗口，在窗口中输入如下命令：
sudo apt-get install stardict ]]></description><category></category></item><item><title><![CDATA[elasticsearch  与 hive集成]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/39896189</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/39896189</guid><author>sunflower_cao</author><pubDate>Wed, 08 Oct 2014 18:38:47 +0800</pubDate><description><![CDATA[ElasticSearch是一个基于Lucene构建的开源，分布式，RESTful搜索引擎。设计用于云计算中，能够达到实时搜索，稳定，可靠，快速，安装使用方便。


hive]]></description><category></category></item><item><title><![CDATA[Mahout in Action 第二章推荐系统 读书笔记 思维导图]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/39756147</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/39756147</guid><author>sunflower_cao</author><pubDate>Fri, 03 Oct 2014 16:38:03 +0800</pubDate><description><![CDATA[首先给出思维导图]]></description><category></category></item><item><title><![CDATA[Mahout 第一章 学习笔记 思维导图]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/39755781</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/39755781</guid><author>sunflower_cao</author><pubDate>Fri, 03 Oct 2014 15:18:41 +0800</pubDate><description><![CDATA[在]]></description><category></category></item><item><title><![CDATA[ubuntu hive无法初始化mysql元数据库]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/39368297</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/39368297</guid><author>sunflower_cao</author><pubDate>Thu, 18 Sep 2014 13:49:44 +0800</pubDate><description><![CDATA[$HIVE_HOME/bin/hive
show databases;
报错：
FAILED: Execution Error, return code 1 from org.apache.Hadoop.hive.ql.exec.DDLTask. java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.]]></description><category></category></item><item><title><![CDATA[ubuntu桌面启动器创建]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/39296061</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/39296061</guid><author>sunflower_cao</author><pubDate>Mon, 15 Sep 2014 18:06:58 +0800</pubDate><description><![CDATA[方法一、通过桌面启动器创建

命令：gnome-desktop-item-edit ~/ --create-new 

名称：eclipse
命令：eclipse 
图标： /opt/eclipse/icon.xpm

sudo apt-get install --no-install-recommends gnome-panel


方法二、通过在应用程序中创建，其实就是添]]></description><category></category></item><item><title><![CDATA[yum提示another app is currently holding the yum lock;waiting for it to exit]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/38726663</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/38726663</guid><author>sunflower_cao</author><pubDate>Thu, 21 Aug 2014 10:46:16 +0800</pubDate><description><![CDATA[可能是系统自动升级正在运行，yum在锁定状态中。
可以通过强制关掉yum进程：
#rm -f /var/run/yum.pid
然后就可以使用yum了。]]></description><category></category></item><item><title><![CDATA[java字符串分割解析类StringTokenizer的使用]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/38701363</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/38701363</guid><author>sunflower_cao</author><pubDate>Wed, 20 Aug 2014 09:08:03 +0800</pubDate><description><![CDATA[StringTokenizer是字符串分隔解析类型，属于：java.util包。

1.StringTokenizer的构造函数
StringTokenizer（String str）：构造一个用来解析str的StringTokenizer对象。java默认的分隔符是“空格”、“制表符（‘\t’）”、“换行符(‘\n’）”、“回车符（‘\r’）”。
StringTokenizer（Stri]]></description><category></category></item><item><title><![CDATA[spark sql 访问hive数据时找不mysql的解决方法]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/38562081</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/38562081</guid><author>sunflower_cao</author><pubDate>Thu, 14 Aug 2014 18:07:17 +0800</pubDate><description><![CDATA[1现象：
错误如下：
org.apache.hadoop.hive.ql.metadata.HiveException: Unable to fetch table SOGOUQ1
        at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:958)
        at org.apache.hadoop.hiv]]></description><category></category></item><item><title><![CDATA[spark sql 访问hive数据时找不mysql的解决方法]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/38561639</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/38561639</guid><author>sunflower_cao</author><pubDate>Thu, 14 Aug 2014 17:40:39 +0800</pubDate><description><![CDATA[错误如下：]]></description><category></category></item><item><title><![CDATA[spark 1.0.1 worker启动失败：at java.lang.ClassLoader.loadClass(libgcj.so.10)]]></title><link>https://blog.youkuaiyun.com/sunflower_cao/article/details/38557579</link><guid>https://blog.youkuaiyun.com/sunflower_cao/article/details/38557579</guid><author>sunflower_cao</author><pubDate>Thu, 14 Aug 2014 13:49:32 +0800</pubDate><description><![CDATA[错误现象：
下面是控制台的错误：]]></description><category></category></item></channel></rss>