铭文一级：
DataV功能说明
1）点击量分省排名/运营商访问占比
Spark SQL项目实战课程： 通过IP就能解析到省份、城市、运营商
2）浏览器访问占比/操作系统占比
Hadoop项目：userAgent
DataV访问的数据库(mysql),需要能够在公网上访问
DataV测试数据
CREATE TABLE course_click_count
(
ID int(4) PRIMARY KEY,
day VARCHAR(10),
course_id VARCHAR(10),
click_count long
);
INSERT INTO course_click_count values (1,‘20171111‘,‘112‘,8000);
INSERT INTO course_click_count values (2,‘20171111‘,‘128‘,9000);
INSERT INTO course_click_count values (3,‘20171111‘,‘145‘,10000);
INSERT INTO course_click_count values (4,‘20171111‘,‘146‘,4000);
INSERT INTO course_click_count values (5,‘20171111‘,‘131‘,3000);
INSERT INTO course_click_count values (6,‘20171111‘,‘130‘,2000);
CREATE TABLE course_info
(
ID int(4) PRIMARY KEY,
course_id VARCHAR(10),
course_name VARCHAR(100)
);
INSERT INTO course_info values (1,‘112‘,‘Spark SQL‘);
INSERT INTO course_info values (2,‘128‘,‘10小时入门大数据‘);
INSERT INTO course_info values (3,‘145‘,‘深度学习‘);
INSERT INTO course_info values (4,‘146‘,‘Node.js‘);
INSERT INTO course_info values (5,‘131‘,‘Vue+Django实战‘);
INSERT INTO course_info values (6,‘130‘,‘Web前端性能优化‘);
select b.course_name course_name, a.click_count click_count
from (
(select course_id, click_count from course_click_count where day=‘20171111‘ ) a
join
(select course_id, course_name from course_info) b
on a.course_id = b.course_id
)
省份点击量排名
[
{
"value": "314529403.31",
"content": "北京市"
},
{
"value": "293711093.03",
"content": "上海市"
},
{
"value": "193691138.91",
"content": "山东省"
},
{
"value": "293711093.03",
"content": "河南省"
},
{
"value": "193120534.18",
"content": "安徽省"
}
]
客户端统计：
[
{
"x": "Chrome",
"y": 29000,
"s": "1"
},
{
"x": "Firefox",
"y": 4320,
"s": "1"
},
{
"x": "QQ",
"y": 13000,
"s": "1"
},
{
"x": "Safari",
"y": 23000,
"s": "1"
}
]
搜索引擎统计
[
{
"x": "百度",
"y": 14534,
"s": "1"
},
{
"x": "搜狗",
"y": 8345,
"s": "1"
},
{
"x": "雅虎",
"y": 4000,
"s": "1"
},
{
"x": "微软",
"y": 6666,
"s": "1"
}
]
运营商统计
[
{
"x": "移动",
"y": 5
},
{
"x": "联通",
"y": 22
},
{
"x": "电信",
"y": 22
},
{
"x": "鹏博士",
"y": 14
},
{
"x": "铁通",
"y": 15
},
{
"x": "其他",
"y": 15
}
]
操作系统占比
[
{
"x": "ios",
"y": 65000
},
{
"x": "MacOS",
"y": 80000
},
{
"x": "Win7",
"y": 20000
},
{
"x": "Win10",
"y": 40000
},
{
"x": "android",
"y": 70000
}
]
有兴趣的小伙伴，可以把如上的静态数据准备成sql语句，插入到MySQL中去，
然后在DataV组件上通过sql的方式展示出来。
铭文二级（自己看官网吧）：
DataV的使用、主要是数据库的连接，操作是写sql语句，个人版只有mysql数据库
无法使用HBase，所以需要自己写到mysql里面去
第14章 Java拓展
使用java开发Spark应用程序
使用java开发Spark Streaming应用程序