<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[放飞我心]]></title><description><![CDATA[专注、平和、宁静]]></description><link>https://blog.youkuaiyun.com/j3smile</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; j3smile]]></copyright><item><title><![CDATA[hive 客户端结果乱码]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/19990343</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/19990343</guid><author>j3smile</author><pubDate>Wed, 26 Feb 2014 17:57:56 +0800</pubDate><description><![CDATA[insert overwrite table lobehaviour_daily_keep partition (part) 
select dp_id, buyer_nick, created,
    (case when sum(trade_tidcount)>0 then created else null end) as trade_created,
    sum(trade_tidc]]></description><category></category></item><item><title><![CDATA[python 时间]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/19988537</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/19988537</guid><author>j3smile</author><pubDate>Wed, 26 Feb 2014 17:00:23 +0800</pubDate><description><![CDATA[import datetime

now = datetime.datetime.now()

print
print "Current date and time using str method of datetime object:"
print str(now)

print
print "Current date and time using instance attributes:"
]]></description><category></category></item><item><title><![CDATA[maven 的粗了解]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/19824965</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/19824965</guid><author>j3smile</author><pubDate>Mon, 24 Feb 2014 15:22:44 +0800</pubDate><description><![CDATA[在setting.xml中，设置默认的repository目录。
 E:/eclipseMyLib/repository



eclipse中：]]></description><category></category></item><item><title><![CDATA[java 复制]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/19344513</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/19344513</guid><author>j3smile</author><pubDate>Mon, 17 Feb 2014 17:40:43 +0800</pubDate><description><![CDATA[java.util.list.addAll()方法同样是浅复制]]></description><category></category></item><item><title><![CDATA[hive udaf 返回复杂类型]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/19340253</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/19340253</guid><author>j3smile</author><pubDate>Mon, 17 Feb 2014 16:34:39 +0800</pubDate><description><![CDATA[package com.hive.customertag;


import java.util.ArrayList;
import java.util.regex.Matcher;
import java.util.regex.Pattern;


import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache]]></description><category></category></item><item><title><![CDATA[hive 高级结构]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/19327067</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/19327067</guid><author>j3smile</author><pubDate>Mon, 17 Feb 2014 10:25:17 +0800</pubDate><description><![CDATA[•array类型访问: A[n]

•map类型访问: M[key]

•struct类型访问: S.x



• array 类型访问 : A[n]

语法: A[n]

操作类型: A为array类型，n为int类型

说明：返回数组A中的第n个变量值。数组的起始下标为0。比如，A是个值为['foo', 'bar']的数组类型，那么A[0]将返回'foo',而A[1]]></description><category></category></item><item><title><![CDATA[Java日期时间使用总结]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/19198975</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/19198975</guid><author>j3smile</author><pubDate>Fri, 14 Feb 2014 14:18:37 +0800</pubDate><description><![CDATA[原文地址



Java日期时间使用总结
 
一、Java中的日期概述
 
日期在Java中是一块非常复杂的内容，对于一个日期在不同的语言国别环境中，日期的国际化，日期和时间之间的转换，日期的加减运算，日期的展示格式都是非常复杂的问题。
 
在Java中，操作日期主要涉及到一下几个类：
 
1、java.util.Date
        类 Date 表示特定的瞬间，精]]></description><category></category></item><item><title><![CDATA[java正则]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/19194857</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/19194857</guid><author>j3smile</author><pubDate>Fri, 14 Feb 2014 11:30:34 +0800</pubDate><description><![CDATA[众所周知，在程序开发中，难免会遇到需要匹配、查找、替换、判断字符串的情况发生，而这些情况有时又比较复杂，如果用纯编码方式解决，往往会浪费程序员的时间及精力。因此，学习及使用正则表达式，便成了解决这一矛盾的主要手段。
 大 家都知道，正则表达式是一种可以用于模式匹配和替换的规范，一个正则表达式就是由普通的字符（例如字符a到z）以及特殊字符（元字符）组成的文字模式，它 用以描述在查找文字主体时待匹配]]></description><category></category></item><item><title><![CDATA[hive 细节测试]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/19154309</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/19154309</guid><author>j3smile</author><pubDate>Thu, 13 Feb 2014 10:56:53 +0800</pubDate><description><![CDATA[hive> select * from test_1;                            
OK
1
1
NULL
2
Time taken: 0.064 seconds


select count(distinct id) from test_1;

2]]></description><category></category></item><item><title><![CDATA[关于本周,上周,本月,上月的实现]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/18082379</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/18082379</guid><author>j3smile</author><pubDate>Fri, 10 Jan 2014 16:13:09 +0800</pubDate><description><![CDATA[周会涉及到跨年,但是月不会跨年.
每周的天数的固定的,但是月的天数是不固定的.]]></description><category></category></item><item><title><![CDATA[Mysql日期和时间函数大全]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/18001815</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/18001815</guid><author>j3smile</author><pubDate>Wed, 08 Jan 2014 15:30:03 +0800</pubDate><description><![CDATA[原文

对于每个类型拥有的值范围以及并且指定日期何时间值的有效格式的描述见7.3.6 日期和时间类型。 

这里是一个使用日期函数的例子。下面的查询选择了所有记录，其date_col的值是在最后30天以内： 

mysql> SELECT something FROM table 
WHERE TO_DAYS(NOW()) - TO_DAYS(date_col) select DAY]]></description><category></category></item><item><title><![CDATA[关联规则学习]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/17716823</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/17716823</guid><author>j3smile</author><pubDate>Fri, 03 Jan 2014 16:23:14 +0800</pubDate><description><![CDATA[主要的指标包括：支持度support，置信度confidence，提升度lift。对于一个二项规则例如“A→B”，支持度是指A与B同时出现的概率，即P(A B)；置信度是B关于A的条件概率，即P(B | A)；提升度是B的概率的提升，即P(B
 | A) / P(B)。
频繁项集:
闭集
极大频繁项集
apriori算法:]]></description><category></category></item><item><title><![CDATA[logistic回归学习]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/17680557</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/17680557</guid><author>j3smile</author><pubDate>Mon, 30 Dec 2013 16:11:54 +0800</pubDate><description><![CDATA[logistic回归为概率型非线性回归模型，是研究分类观察结果(y)与一些影响因素(x)之间关系的一种多变量分析方法


可解决的问题:     
因变量为二分类的称为二项logistic回归，因变量为多分类的称为多元logistic回归。因变量的类型:
可为连续变量、等级变量、分类变量。适用性




两元因变量的logistic回归模型方程讲解



一个自变量与Y]]></description><category></category></item><item><title><![CDATA[Mysql group by top N的问题]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/17302209</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/17302209</guid><author>j3smile</author><pubDate>Fri, 13 Dec 2013 14:53:44 +0800</pubDate><description><![CDATA[http://sqlfiddle.com/#!2/4c0a5/32
>>>>> 建表
create table mytable
(
  person varchar(10),
  `group` int,
  age int
);
insert into mytable values
('Bob', 1, 32),
('Jill', 1, 34),
('Shawn', 1, ]]></description><category></category></item><item><title><![CDATA[hive 语法错误 小节]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/17185851</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/17185851</guid><author>j3smile</author><pubDate>Sat, 07 Dec 2013 13:26:30 +0800</pubDate><description><![CDATA[FAILED: Error in semantic analysis: DISTINCT on different columns not supported with skew in data]]></description><category></category></item><item><title><![CDATA[hive 正则]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/17185029</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/17185029</guid><author>j3smile</author><pubDate>Sat, 07 Dec 2013 10:17:29 +0800</pubDate><description><![CDATA[case when length(regexp_extract(receiver_mobile,"^(1(3[4-9]|4[7]|5[012789]|8[23478])\\d{8})$",1))!=0 then "福建移动"]]></description><category></category></item><item><title><![CDATA[计算广告-百度沙龙]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/17101953</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/17101953</guid><author>j3smile</author><pubDate>Tue, 03 Dec 2013 21:44:27 +0800</pubDate><description><![CDATA[打通线上线下
acookies记录上网行


广告支撑互联网的存在
正确的事情就是做对用户和网站都有用的事
广告：广、快、准


GSP拍卖
基尼系数：稳定性（大小广告组博弈）


从经济学的模型定理 
点击作弊
竞价系统


点击率（CTR）预估（二分类）
大型线性logistic Regression
时效性
稀疏矩阵


深度神经网络模型：语音]]></description><category></category></item><item><title><![CDATA[御膳房交流]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/17101827</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/17101827</guid><author>j3smile</author><pubDate>Tue, 03 Dec 2013 21:33:40 +0800</pubDate><description><![CDATA[产品的各环节打通是很重要的，离线在线要结合，买了还买如果无法转化为生产力，就没什么意思了。
精准营销
数据可视化也许比分析更重要
推荐系统独立于数据挖掘
数据源不在一起不好解决
集团方面：成功案例、uv]]></description><category></category></item><item><title><![CDATA[novicat]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/17096989</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/17096989</guid><author>j3smile</author><pubDate>Tue, 03 Dec 2013 15:55:16 +0800</pubDate><description><![CDATA[导出时选择xls格式就会很慢,要选择txt或者csv]]></description><category></category></item><item><title><![CDATA[excel 小节]]></title><link>https://blog.youkuaiyun.com/j3smile/article/details/17077733</link><guid>https://blog.youkuaiyun.com/j3smile/article/details/17077733</guid><author>j3smile</author><pubDate>Mon, 02 Dec 2013 18:34:21 +0800</pubDate><description><![CDATA[===== excel固定表头
“窗口”＝>“冻结窗格”
=====]]></description><category></category></item></channel></rss>