目录
素材:
一、模块开发——数据预处理
1、分析预处理的数据
在收集的日志文件中,通常情况下,不能直接将日志文件进行数据分析,这是因为日志文件中有许多不合法的数据(比如日志数据在网络传输过程中发送数据丢失)。
在数据预处理阶段,主要目的就是对收集的原始数据进行清洗和筛选,因此使用MapReduce 技术就可以轻松实现。在实际开发中,数据预处理过程通常不会直接将不合法的数据直接删除,而是对每条数据添加标识字段,从而避免其他业务使用时丢失数据。
另外,此次数据预处理只是清洗和筛选不合法的数据信息,会读取每行日志文件数据并最终输出一条数据,不会进行其他操作,因此在使用MapReduce技术进行处理过程中,只会涉及 Map 阶段,不会涉及Reduce 阶段。在默认情况下,ReduceTask值为1,因此在主运行函数中,需要设置 Job.setNumReduceTasks(0)。
2、实现数据的预处理
(1)创建Maven项目,添加相关依赖
pom.xml文件配置如下:
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>cn.itcast</groupId>
<artifactId>HadoopDataReport</artifactId>
<version>1.0-SNAPSHOT</version>
<dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.10.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.10.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.10.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-core</artifactId>
<version>2.10.1</version>
</dependency>
</dependencies>
</project>
(2)创建JavaBean对象,封装日志记录
收集的日志数据中,每一行代表一条日志记录,并且包含有多个用空格分隔的字段信息,为了方便后续数据处理,创建一个 JavaBean 对象对每条数据进行封装。
WebLogBean.java
package cn.itcast.weblog.bean;
import org.apache.hadoop.io.Writable;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
/**
* 对接外部数据的层,表结构定义最好跟外部数据源保持一致
* 同时实现序列号,方便网络数据传播
*/
public class WebLogBean implements Writable {
private boolean valid = true; //标记数据是否合法
private String remote_addr; //访客IP地址
private String remote_user; //记录访客用户信息,忽略属性“-”
private String time_local; //记录访问时间与时区
private String request; //记录请求的URL
private String status; //请求状态
private String body_bytes_sent; //记录发送给客户端文件主体内容大小
private String http_referer; //记录从哪个页面链接访问过来的
private String http_user_agent; //记录客户浏览器的相关信息
//设置 WebLogBean 进行字段数据封装
public void setBean(boolean valid, String remote_addr, String remote_user,
String time_local, String request, String status,
String body_bytes_sent,
String http_referer, String http_user_agent) {
this.valid = valid;
this.remote_addr = remote_addr;
this.remote_user = remote_user;
this.time_local = time_local;
this.request = request;
this.status = status;
this.body_bytes_sent = body_bytes_sent;
this.http_referer = http_referer;
this.http_user_agent = http_user_agent;
}
public boolean isValid() {
return valid;
}
public void setValid(boolean valid) {
this.valid = valid;
}
public String getRemote_addr() {
return remote_addr;
}
public void setRemote_addr(String remote_addr) {
this.remote_addr = remote_addr;
}
public String getRemote_user() {
return remote_user;
}
public void setRemote_user(String remote_user) {
this.remote_user = remote_user;
}
public String getTime_local() {
return time_local;
}
public void setTime_local(String time_local) {
this.time_local = time_local;
}
public String getRequest() {
return request;
}
public void setRequest(String request) {
this.request = request;
}
public String getStatus() {
return status;
}
public void setStatus(String status) {
this.status = status;
}
public String getBody_bytes_sent() {
return body_bytes_sent;
}
public void setBody_bytes_sent(String body_bytes_sent) {
this.body_bytes_sent = body_bytes_sent;
}
public String getHttp_referer() {
return http_referer;
}
public void setHttp_referer(String http_referer) {
this.http_referer = http_referer;
}
public String getHttp_user_agent() {
return http_user_agent;
}
public void setHttp_user_agent(String http_user_agent) {
this.http_user_agent = http_user_agent;
}
//重写 toString() 方法,使用 Hive 默认分隔符进行分隔,为后续导入 Hive 表提供便利
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append(valid);
sb.append("\001").append(this.getRemote_addr());
sb.append("\001").append(this.getRemote_user());
sb.append("\001").append(this.getTime_local());
sb.append("\001").append(this.getRequest());
sb.append("\001").append(this.getStatus());
sb.append("\001").append(this.getBody_bytes_sent());
sb.append("\001").append(this.getHttp_referer());
sb.append("\001").append(this.getHttp_user_agent());
return sb.toString();
}
//序列化方法
@Override
public void readFields(DataInput dataInput) throws IOException {
this.valid = dataInput.readBoolean();
this.remote_addr = dataInput.readUTF();
this.remote_user = dataInput.readUTF();
this.time_local = dataInput.readUTF();
this.request = dataInput.readUTF();
this.status = dataInput.readUTF();
this.body_bytes_sent = dataInput.readUTF();
this.http_referer = dataInput.readUTF();
this.http_user_agent = dataInput.readUTF();
}
// 反序列化方法(注意与序列化方法顺序保持一致)
@Override
public void write(DataOutput dataOutput) throws IOException {
dataOutput.writeBoolean(this.valid);
dataOutput.writeUTF(this.remote_addr);
dataOutput.writeUTF(this.remote_user);
dataOutput.writeUTF(this.time_local);
dataOutput.writeUTF(this.request);
dataOutput.writeUTF(this.status);
dataOutput.writeUTF(this.body_bytes_sent);
dataOutput.writeUTF(this.http_referer);
dataOutput.writeUTF(this.http_user_agent);
}
}
(3)创建MapReduce程序,执行数据预处理
创建 JavaBean 实体类后,接下来开始编写 MapReduce 程序,进行数据预处理。
WebLogPreProcess.java
package cn.itcast.weblog.preproces;
import cn.itcast.weblog.bean.WebLogBean;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import java.io.IOException;
import java.util.HashSet;
import java.util.Set;
/**
* 日志数据处理:数据清洗、日期格式转换、缺失字段填充默认值、字段添加合法标记
*/
public class WebLogPreProcess {
public static void main(String[] args) throws Exception{
Configuration conf = new Configuration();
Job job = Job.getInstance(conf);
job.setJarByClass(WebLogPreProcess.class);
job.setMapperClass(WebLogPreProcessMapper.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(NullWritable.class);
//此次案例测试数据不是非常大,所以使用本地路径
//(实际情况会对 HDFS 上存储的文件进行处理)
FileInputFormat.setInputPaths(job, new Path("/home/huanganchi/Hadoop/实训项目/HadoopDemo/textHadoop/weblog/input"));
FileOutputFormat.setOutputPath(job, new Path("/home/huanganchi/Hadoop/实训项目/HadoopDemo/textHadoop/weblog/output"));
//将 ReduceTask 属设置为 0,不需要 Reduce 阶段
job.setNumReduceTasks(0);
boolean res = job.waitForCompletion(true);
System.exit(res ? 0 : 1);
}
//mapreduce 程序 map 阶段
public static class WebLogPreProcessMapper extends Mapper<LongWritable, Text, Text, NullWritable> {
//用来存储网站 URL 分类数据
Set<String> pages = new HashSet<String>();
Text k = new Text();
NullWritable v = NullWritable.get();
/**
* 设置初始化方法, 用来表示用户请求的是合法数据
*/
@Override
protected void setup(Context context) throws IOException, InterruptedException {
pages.add("/about");
pages.add("/black-ip-list");
pages.add("/cassendra-cluster/");
pages.add("/finance-rhive-repurchase");
pages.add("/hadoop-family-roadmad");
pages.add("/hadoop-hive-intro/");
pages.add("/hadoop-zookeeper-intro");
pages.add("/hadoop-mahout-roadmap");
}
/**
* 重写 map()方法,对每行记录重新解析转换并输出
*/
@Override
protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
//获取一行数据
String line = value.toString();
//调用解析类 WebLogParser 解析日志数据,最后封装为 WebLogBean 对象
WebLogBean webLogBean = WebLogParser.parser(line);
if (webLogBean != null) {
//过滤 js/图片/css 等静态资源
WebLogParser.filtStaticResource(webLogBean, pages);
k.set(webLogBean.toString());
context.write(k, v);
}
}
}
}
WebLogParser.java
package cn.itcast.weblog.preproces;
import cn.itcast.weblog.bean.WebLogBean;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Locale;
import java.util.Set;
public class WebLogParser {
//定义时间格式
public static SimpleDateFormat df1 = new SimpleDateFormat("dd/MMM/yyyy:HH:mm:ss", Locale.US);
public static SimpleDateFormat df2 = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss", Locale.US);
/**
* 根据采集的数据字段信息进行解析封装
*/
public static WebLogBean parser(String line) {
WebLogBean webLogBean = new WebLogBean();
//把一行数据以空格字符切割并存入数组arr中
String[] arr = line.split(" ");
//如果数组长度小于等于11,说明这条数据不完整,因此可以忽略这条数据
if (arr.length > 11) {
//满足条件的数据逐个赋值给webLogBean对象
webLogBean.setRemote_addr(arr[0]);
webLogBean.setRemote_user(arr[1]);
String time_local = formatDate(arr[3].substring(1));
if (null == time_local || "".equals(time_local)) time_local = "-invalid_time-";
webLogBean.setTime_local(time_local);
webLogBean.setRequest(arr[6]);
webLogBean.setStatus(arr[8]);
webLogBean.setBody_bytes_sent(arr[9]);
webLogBean.setHttp_referer(arr[10]);
//如果useragent元素较多,拼接useragent
if (arr.length > 12) {
StringBuilder sb = new StringBuilder();
for (int i = 11; i < arr.length; i++) {
sb.append(arr[i]);
}
webLogBean.setHttp_user_agent(sb.toString());
} else {
webLogBean.setHttp_user_agent(arr[11]);
}
//大于 400,HTTP 错误
if (Integer.parseInt(webLogBean.getStatus()) >= 400) {
webLogBean.setValid(false);
}
if ("-invalid_time-".equals(webLogBean.getTime_local())) {
webLogBean.setValid(false);
}
} else {
webLogBean = null;
}
return webLogBean;
}
//对请求路径资源是否合法进行标记
public static void filtStaticResource(WebLogBean bean, Set<String> pages) {
if (!pages.contains(bean.getRequest())) {
bean.setValid(false);
}
}
//格式化时间方法
public static String formatDate(String time_local) {
try {
return df2.format(df1.parse(time_local));
} catch (ParseException e) {
return null;
}
}
}
运行结果:
二、模块开发——数据仓库开发
1、上传文件
在启动了Hadoop的Linux系统root目录下创建目录weblog,并将预处理产生的结果文件上传到 weblog 目录下。
cd
mkdir weblog
cd weblog
执行 rz 文件上传命令
在HDFS上创建目录,用于存放预处理过的数据,并上传数据到HDFS。
hadoop fs -mkdir -p /weblog/preprocessed
hadoop fs -put part-m-00000 /weblog/preprocessed
2、实现数据仓库
启动Hive数据仓库,执行以下操作:
--创建数据仓库
DROP DATABASE IF EXISTS weblog;
CREATE DATABASE weblog;
USE weblog;
--创建表
CREATE TABLE ods_weblog_origin (
valid string, --有效标志
remote_addr string, --来源IP
remote_user string, --用户标志
time_local string, --访问完整时间
request string, --请求的URL
status string, --响应码
body_bytes_sent string, --传输字节数
http_referer string, --来源URL
http_user_agent string --客户终端标志
)
partitioned by (datestr string)
row format delimited fields terminated by '\001';
--导入数据
load data inpath '/weblog/preprocessed' overwrite into table ods_weblog_origin partition(datestr='20130918');
--生成明细表
--1. 创建明细表 ods_weblog_detwail
CREATE TABLE ods_weblog_detwail (
valid string, --有效标志
remote_addr string, --来源IP
remote_user string, --用户标志
time_local string, --访问完整时间
daystr string, --访问日期
timestr string, --访问时间
month string, --访问月
day string, --访问日
hour string, --访问时
request string, --请求的URL
status string, --响应码
body_bytes_sent string, --传输字节数
http_referer string, --来源URL
ref_host string, --来源的host
ref_path string, --来源路径
ref_query string, --来源参数query
ref_query_id string, --来源参数query的值
http_user_agent string --客户终端标志
)
partitioned by (datestr string);
--2. 创建临时中间表 t_ods_tmp_referurl
CREATE TABLE t_ods_tmp_referurl as SELECT a.*, b.*
FROM ods_weblog_origin a LATERAL VIEW
parse_url_tuple(regexp_replace(http_referer, "\"", ""),'HOST', 'PATH', 'QUERY', 'QUERY:id') b
as host, path, query, query_id;
--3. 创建临时中间表 t_ods_tmp_detail
CREATE TABLE t_ods_tmp_detail as
SELECT b.*, substring(time_local, 0, 10) as daystr,
substring(time_local, 12) as tmstr,
substring(time_local, 6, 2) as month,
substring(time_local, 9, 2) as day,
substring(time_local, 11, 3) as hour
FROM t_ods_tmp_referurl b;
--4. 修改默认动态分区参数
set hive.exec.dynamic.partition=true;
set hive.exec.dynamic.partition.mode=nonstrict;
--5. 向 ods_weblog_detwail 表中加载数据
insert overwrite table ods_weblog_detwail partition(datestr)
SELECT DISTINCT otd.valid, otd.remote_addr, otd.remote_user,
otd.time_local, otd.daystr, otd.tmstr, otd.month, otd.day, otd.hour,
otr.request, otr.status, otr.body_bytes_sent,
otr.http_referer, otr.host, otr.path,
otr.query, otr.query_id, otr.http_user_agent, otd.daystr
FROM t_ods_tmp_detail as otd, t_ods_tmp_referurl as otr
WHERE otd.remote_addr = otr.remote_addr
AND otd.time_local = otr.time_local
AND otd.body_bytes_sent = otr.body_bytes_sent
AND otd.request = otr.request;
三、模块开发——数据分析
--数据分析
--流量分析
--创建每日访问量表dw_pvs_everyday
CREATE TABLE IF NOT EXISTS dw_pvs_everyday(pvs bigint, month string, day string);
--从宽表 ods_weblog_detwail 获取每日访问量数据并插入维度表 dw_pvs_everyday
INSERT INTO TABLE dw_pvs_everyday
SELECT COUNT(*) AS pvs, owd.month AS month, owd.day AS day
FROM ods_weblog_detwail owd GROUP BY owd.month, owd.day;
--人均浏览量分析
--创建维度表dw_avgpv_user_everyday
CREATE TABLE IF NOT EXISTS dw_avgpv_user_everyday (day string, avgpv string);
--从宽表 ods_weblog_detwail 获取相关数据并插入维度表 dw_avgpv_user_everyday
INSERT INTO TABLE dw_avgpv_user_everyday
SELECT '2013-09-18', SUM(b.pvs)/COUNT(b.remote_addr) FROM
(SELECT remote_addr, COUNT(1) AS pvs FROM ods_weblog_detwail WHERE
datestr = '2013-09-18' GROUP by remote_addr) b;
INSERT INTO TABLE dw_avgpv_user_everyday
SELECT '2013-09-19', SUM(b.pvs)/COUNT(b.remote_addr) FROM
(SELECT remote_addr, COUNT(1) AS pvs FROM ods_weblog_detwail WHERE
datestr = '2013-09-19' GROUP by remote_addr) b;
INSERT INTO TABLE dw_avgpv_user_everyday
SELECT '2013-09-20', SUM(b.pvs)/COUNT(b.remote_addr) FROM
(SELECT remote_addr, COUNT(1) AS pvs FROM ods_weblog_detwail WHERE
datestr = '2013-09-20' GROUP by remote_addr) b;
INSERT INTO TABLE dw_avgpv_user_everyday
SELECT '2013-09-21', SUM(b.pvs)/COUNT(b.remote_addr) FROM
(SELECT remote_addr, COUNT(1) AS pvs FROM ods_weblog_detwail WHERE
datestr = '2013-09-21' GROUP by remote_addr) b;
INSERT INTO TABLE dw_avgpv_user_everyday
SELECT '2013-09-22', SUM(b.pvs)/COUNT(b.remote_addr) FROM
(SELECT remote_addr, COUNT(1) AS pvs FROM ods_weblog_detwail WHERE
datestr = '2013-09-22' GROUP by remote_addr) b;
INSERT INTO TABLE dw_avgpv_user_everyday
SELECT '2013-09-23', SUM(b.pvs)/COUNT(b.remote_addr) FROM
(SELECT remote_addr, COUNT(1) AS pvs FROM ods_weblog_detwail WHERE
datestr = '2013-09-23' GROUP by remote_addr) b;
INSERT INTO TABLE dw_avgpv_user_everyday
SELECT '2013-09-24', SUM(b.pvs)/COUNT(b.remote_addr) FROM
(SELECT remote_addr, COUNT(1) AS pvs FROM ods_weblog_detwail WHERE
datestr = '2013-09-24' GROUP by remote_addr) b;
四、模块开发——数据导出
1. 创建 MySql 数据库和表
--数据导出
--创建数据仓库
DROP DATABASE IF EXISTS sqoopdb;
CREATE DATABASE sqoopdb;
USE sqoopdb;
--创建表
CREATE TABLE t_avgpv_num (
dateStr VARCHAR(255) DEFAULT NULL,
avgPvNum DECIMAL(6,2) DEFAULT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
2. 执行数据导出命令
sqoop export \
--connect jdbc:mysql://hadoop01.bgd01:3306/sqoopdb \
--username root \
--password 123456 \
--table t_avgpv_num \
--columns "dateStr,avgPvNum" \
--fields-terminated-by '\001' \
--export-dir /user/hive/warehouse/weblog.db/dw_avgpv_user_everyday
五、模块开发——日志分析系统报表展示
1、搭建日志分析系统
(1)创建项目,添加相关依赖
创建一个Java Web 框架的Maven工程
pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>cn.itcast</groupId>
<artifactId>Weblog</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>war</packaging>
<dependencies>
<!-- Spring -->
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context</artifactId>
<version>4.2.4.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-beans</artifactId>
<version>4.2.4.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-webmvc</artifactId>
<version>4.2.4.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-jdbc</artifactId>
<version>4.2.4.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-aspects</artifactId>
<version>4.2.4.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-jms</artifactId>
<version>4.2.4.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context-support</artifactId>
<version>4.2.4.RELEASE</version>
</dependency>
<!-- Mybatis -->
<dependency>
<groupId>org.mybatis</groupId>
<artifactId>mybatis</artifactId>
<version>3.2.8</version>
</dependency>
<dependency>
<groupId>org.mybatis</groupId>
<artifactId>mybatis-spring</artifactId>
<version>1.2.2</version>
</dependency>
<dependency>
<groupId>com.github.miemiedev</groupId>
<artifactId>mybatis-paginator</artifactId>
<version>1.2.15</version>
</dependency>
<!-- MySql -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.32</version>
</dependency>
<!-- 连接池 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.9</version>
</dependency>
<!-- JSP相关 -->
<dependency>
<groupId>jstl</groupId>
<artifactId>jstl</artifactId>
<version>1.2</version>
</dependency>
<dependency>
<groupId>javax.servlet</groupId>
<artifactId>servlet-api</artifactId>
<version>2.5</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>javax.servlet</groupId>
<artifactId>jsp-api</artifactId>
<version>2.0</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>2.4.2</version>
</dependency>
</dependencies>
<build>
<finalName>${project.artifactId}</finalName>
<resources>
<resource>
<directory>src/main/java</directory>
<includes>
<include>**/*.properties</include>
<include>**/*.xml</include>
</includes>
<filtering>false</filtering>
</resource>
<resource>
<directory>src/main/resources</directory>
<includes>
<include>**/*.properties</include>
<include>**/*.xml</include>
</includes>
<filtering>false</filtering>
</resource>
</resources>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.2</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
<encoding>UTF-8</encoding>
</configuration>
</plugin>
<!-- 配置Tomcat插件 -->
<plugin>
<groupId>org.apache.tomcat.maven</groupId>
<artifactId>tomcat7-maven-plugin</artifactId>
<version>2.2</version>
<configuration>
<path>/</path>
<port>8080</port>
</configuration>
</plugin>
</plugins>
</build>
<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
</project>
(2)编写配置文件
applicationContext.xml
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:context="http://www.springframework.org/schema/context" xmlns:p="http://www.springframework.org/schema/beans"
xmlns:aop="http://www.springframework.org/schema/aop" xmlns:tx="http://www.springframework.org/schema/tx"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-4.2.xsd
http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-4.2.xsd
http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-4.2.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-4.2.xsd
http://www.springframework.org/schema/util http://www.springframework.org/schema/util/spring-util-4.2.xsd">
<!-- 数据库连接池 -->
<!-- 加载配置文件 -->
<context:property-placeholder location="classpath:properties/db.properties" />
<!-- 数据库连接池 -->
<bean id="dataSource" class="com.alibaba.druid.pool.DruidDataSource"
destroy-method="close">
<property name="url" value="${jdbc.url}" />
<property name="username" value="${jdbc.username}" />
<property name="password" value="${jdbc.password}" />
<property name="driverClassName" value="${jdbc.driver}" />
<property name="maxActive" value="10" />
<property name="minIdle" value="5" />
</bean>
<!-- 让spring管理sqlsessionfactory使用mybatis和spring整合包中的 -->
<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">
<!-- 数据库连接池 -->
<property name="dataSource" ref="dataSource" />
<!-- 加载mybatis的全局配置文件 -->
<property name="configLocation" value="classpath:mybatis/SqlMapConfig.xml" />
</bean>
<!-- 使用扫描包的形式来创建mapper代理对象 -->
<bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
<property name="basePackage" value="cn.itcast.mapper" />
</bean>
<!-- 事务管理器 -->
<bean id="transactionManager"
class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
<!-- 数据源 -->
<property name="dataSource" ref="dataSource" />
</bean>
<!-- 通知 -->
<tx:advice id="txAdvice" transaction-manager="transactionManager">
<tx:attributes>
<!-- 传播行为 -->
<tx:method name="save*" propagation="REQUIRED" />
<tx:method name="insert*" propagation="REQUIRED" />
<tx:method name="add*" propagation="REQUIRED" />
<tx:method name="create*" propagation="REQUIRED" />
<tx:method name="delete*" propagation="REQUIRED" />
<tx:method name="update*" propagation="REQUIRED" />
<tx:method name="find*" propagation="SUPPORTS" read-only="true" />
<tx:method name="select*" propagation="SUPPORTS" read-only="true" />
<tx:method name="get*" propagation="SUPPORTS" read-only="true" />
</tx:attributes>
</tx:advice>
<!-- 切面 -->
<aop:config>
<aop:advisor advice-ref="txAdvice"
pointcut="execution(* cn.itcast.service..*.*(..))" />
</aop:config>
<!-- 配置包扫描器,扫描所有带@Service注解的类 -->
<context:component-scan base-package="cn.itcast.service" />
</beans>
db.properties
jdbc.driver=com.mysql.jdbc.Driver
jdbc.url=jdbc:mysql://192.168.8.201:3306/sqoopdb?characterEncoding=utf-8
jdbc.username=root
jdbc.password=123456
springmvc.xml
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:p="http://www.springframework.org/schema/beans"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:mvc="http://www.springframework.org/schema/mvc"
xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-4.2.xsd
http://www.springframework.org/schema/mvc http://www.springframework.org/schema/mvc/spring-mvc-4.2.xsd
http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-4.2.xsd">
<!-- 扫描指定包路径 使路径当中的@controller注解生效 -->
<context:component-scan base-package="cn.itcast.controller" />
<!-- mvc的注解驱动 -->
<mvc:annotation-driven />
<!-- 视图解析器 -->
<bean
class="org.springframework.web.servlet.view.InternalResourceViewResolver">
<property name="prefix" value="/WEB-INF/jsp/" />
<property name="suffix" value=".jsp" />
</bean>
<!-- 配置资源映射 -->
<mvc:resources location="/css/" mapping="/css/**"/>
<mvc:resources location="/js/" mapping="/js/**"/>
<mvc:resources location="/echarts/" mapping="/echarts/**"/>
<mvc:resources location="/assets/" mapping="/assets/**"/>
<mvc:resources location="/img/" mapping="/img/**"/>
</beans>
web.xml
<?xml version="1.0" encoding="UTF-8"?>
<web-app xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://java.sun.com/xml/ns/javaee" xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_2_5.xsd" version="2.5">
<display-name>Weblog</display-name>
<welcome-file-list>
<welcome-file>index.html</welcome-file>
</welcome-file-list>
<!-- 加载spring容器 -->
<context-param>
<param-name>contextConfigLocation</param-name>
<param-value>classpath:spring/applicationContext.xml</param-value>
</context-param>
<listener>
<listener-class>org.springframework.web.context.ContextLoaderListener</listener-class>
</listener>
<!-- 解决post乱码 -->
<filter>
<filter-name>CharacterEncodingFilter</filter-name>
<filter-class>org.springframework.web.filter.CharacterEncodingFilter</filter-class>
<init-param>
<param-name>encoding</param-name>
<param-value>utf-8</param-value>
</init-param>
</filter>
<filter-mapping>
<filter-name>CharacterEncodingFilter</filter-name>
<url-pattern>/*</url-pattern>
</filter-mapping>
<!-- 配置springmvc的前端控制器 -->
<servlet>
<servlet-name>data-report</servlet-name>
<servlet-class>org.springframework.web.servlet.DispatcherServlet</servlet-class>
<init-param>
<param-name>contextConfigLocation</param-name>
<param-value>classpath:spring/springmvc.xml</param-value>
</init-param>
<load-on-startup>1</load-on-startup>
</servlet>
<!-- 拦截所有请求 jsp除外 -->
<servlet-mapping>
<servlet-name>data-report</servlet-name>
<url-pattern>/</url-pattern>
</servlet-mapping>
<!-- 全局错误页面 -->
<error-page>
<error-code>404</error-code>
<location>/WEB-INF/jsp/404.jsp</location>
</error-page>
</web-app>
SqlMapConfig.xml
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE configuration PUBLIC "-//mybatis.org//DTD Config 3.0//EN" "http://mybatis.org/dtd/mybatis-3-config.dtd">
<configuration>
</configuration>
2、实现报表功能展示
(1)创建持久化类
TAvgpvNum.java
package cn.itcast.pojo;
import java.math.BigDecimal;
public class TAvgpvNum {
private String datestr;// 日期
private BigDecimal avgpvnum;// 平均PV数量
public String getDatestr() {
return datestr;
}
public void setDatestr(String datestr) {
this.datestr = datestr == null ? null : datestr.trim();
}
public BigDecimal getAvgpvnum() {
return avgpvnum;
}
public void setAvgpvnum(BigDecimal avgpvnum) {
this.avgpvnum = avgpvnum;
}
}
AvgToPageBean.java
package cn.itcast.pojo;
public class AvgToPageBean {
private String[] dates;
private double[] data;
public String[] getDates() {
return dates;
}
public void setDates(String[] dates) {
this.dates = dates;
}
public double[] getData() {
return data;
}
public void setData(double[] data) {
this.data = data;
}
}
(2)实现DAO层
TAvgpvNumMapper.java
package cn.itcast.mapper;
import java.util.List;
import cn.itcast.pojo.TAvgpvNum;
public interface TAvgpvNumMapper {
public List<TAvgpvNum> selectByDate(String startDate, String endDate);
}
TAvgpvNumMapper.xml
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="cn.itcast.mapper.TAvgpvNumMapper">
<select id="selectByDate" resultType="cn.itcast.pojo.TAvgpvNum"
parameterType="String">
select *
from t_avgpv_num
where dateStr between #{0} and #{1} order by dateStr asc;
</select>
</mapper>
(3)实现Service层
AvgPvService.java
package cn.itcast.service;
public interface AvgPvService {
//根据日期查询数据
public String getAvgPvNumByDates(String startDate, String endDate);
}
AvgPvServiceImpl.java
package cn.itcast.service.impl;
import java.util.List;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import cn.itcast.mapper.TAvgpvNumMapper;
import cn.itcast.pojo.AvgToPageBean;
import cn.itcast.pojo.TAvgpvNum;
import cn.itcast.service.AvgPvService;
@Service
public class AvgPvServiceImpl implements AvgPvService {
@Autowired
private TAvgpvNumMapper mapper;
@Override
public String getAvgPvNumByDates(String startDate, String endDate) {
//调用查询方法
List<TAvgpvNum> lists = mapper.selectByDate(startDate, endDate);
// 数组大小
int size = 7;
//保存日期数据
String[] dates = new String[size];
//保存人均浏览页面数据
double[] datas = new double[size];
int i = 0;
for (TAvgpvNum tAvgpvNum : lists) {
dates[i] = tAvgpvNum.getDatestr();
datas[i] = tAvgpvNum.getAvgpvnum().doubleValue();
i++;
}
//定义AvgToPageBean对象,用于前台页面展示
AvgToPageBean bean = new AvgToPageBean();
bean.setDates(dates);
bean.setData(datas);
//Jackson提供的类,用于把对象转换成Json字符串
ObjectMapper om = new ObjectMapper();
String beanJson = null;
try {
beanJson = om.writeValueAsString(bean);
} catch (JsonProcessingException e) {
e.printStackTrace();
}
//返回Json格式的对象
return beanJson;
}
}
(4)实现Controller层
IndexController.java
package cn.itcast.controller;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
import cn.itcast.service.AvgPvService;
@Controller
public class IndexController {
@Autowired
private AvgPvService pvService;
@RequestMapping("/index")
public String showIndex() {
return "index";
}
@RequestMapping(value = "/avgPvNum", produces = "application/json;charset=UTF-8")
@ResponseBody
public String getChart() {
System.out.println("获取平均pv数据..");
String data = pvService.getAvgPvNumByDates("2013-09-18", "2013-09-24");
return data;
}
}
(5)实现页面功能
index.jsp
<%@ page language="java" contentType="text/html; charset=UTF-8"
pageEncoding="UTF-8"%>
<!DOCTYPE html>
<html lang="en">
<head>
<!-- BEGIN META -->
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="">
<meta name="author" content="Olive Enterprise">
<!-- END META -->
<script src="/js/jquery-1.11.3.min.js"></script>
<script src="/js/echarts.min.js"></script>
<script src="/js/china.js"></script>
<!-- BEGIN SHORTCUT ICON -->
<link rel="shortcut icon" href="/img/favicon.ico">
<!-- END SHORTCUT ICON -->
<title>流量运营分析 - pinyougou®itcast全站数据平台</title>
<!-- BEGIN STYLESHEET-->
<link href="/css/bootstrap.min.css" rel="stylesheet">
<!-- BOOTSTRAP CSS -->
<link href="/css/bootstrap-reset.css" rel="stylesheet">
<!-- BOOTSTRAP CSS -->
<link href="/assets/font-awesome/css/font-awesome.css" rel="stylesheet">
<!-- FONT AWESOME ICON CSS -->
<link href="/css/style.css" rel="stylesheet">
<!-- THEME BASIC CSS -->
<link href="/css/style-responsive.css" rel="stylesheet">
<!-- THEME RESPONSIVE CSS -->
<link href="/assets/morris.js-0.4.3/morris.css" rel="stylesheet">
<!-- MORRIS CHART CSS -->
<!--dashboard calendar-->
<link href="/css/clndr.css" rel="stylesheet">
<!-- CALENDER CSS -->
<!--[if lt IE 9]>
<script src="js/html5shiv.js">
</script>
<script src="js/respond.min.js">
</script>
<![endif]-->
<!-- END STYLESHEET-->
</head>
<body>
<!-- BEGIN SECTION -->
<section id="container">
<!-- BEGIN HEADER -->
<header class="header white-bg">
<!-- SIDEBAR TOGGLE BUTTON -->
<div class="sidebar-toggle-box">
<div data-placement="right" class="fa fa-bars tooltips"></div>
</div>
<!-- SIDEBAR TOGGLE BUTTON END-->
<a href="index.html" class="logo"> ITCAST <span> PINYOUGOU
</span><span> 全站流量运营分析 </span>
</a>
<!-- START HEADER NAV -->
<nav class="nav notify-row" id="top_menu">
<ul class="nav top-menu">
<!-- START NOTIFY TASK BAR -->
<li class="dropdown"><a data-toggle="dropdown"
class="dropdown-toggle" href="#"> <i class="fa fa-tasks">
</i> <span class="badge bg-success"> 6 </span>
</a>
<ul class="dropdown-menu extended tasks-bar">
<li class="notify-arrow notify-arrow-blue"></li>
<li>
<p class="blue">You have 6 pending tasks</p>
</li>
<li><a href="#">
<div class="task-info">
<div class="desc">Dashboard v1.3</div>
<div class="percent">40%</div>
</div>
<div class="progress progress-striped">
<div class="progress-bar progress-bar-success set-40"
role="progressbar" aria-valuenow="40" aria-valuemin="0"
aria-valuemax="100">
<span class="sr-only"> 40% Complete (success) </span>
</div>
</div>
</a></li>
<li><a href="#">
<div class="task-info">
<div class="desc">Database Update</div>
<div class="percent">60%</div>
</div>
<div class="progress progress-striped">
<div class="progress-bar progress-bar-warning set-60"
role="progressbar" aria-valuenow="60" aria-valuemin="0"
aria-valuemax="100">
<span class="sr-only"> 60% Complete (warning) </span>
</div>
</div>
</a></li>
<li><a href="#">
<div class="task-info">
<div class="desc">Iphone Development</div>
<div class="percent">87%</div>
</div>
<div class="progress progress-striped">
<div class="progress-bar progress-bar-info set-87"
role="progressbar" aria-valuenow="20" aria-valuemin="0"
aria-valuemax="100">
<span class="sr-only"> 87% Complete </span>
</div>
</div>
</a></li>
<li><a href="#">
<div class="task-info">
<div class="desc">Mobile App</div>
<div class="percent">33%</div>
</div>
<div class="progress progress-striped">
<div class="progress-bar progress-bar-danger set-33"
role="progressbar" aria-valuenow="80" aria-valuemin="0"
aria-valuemax="100">
<span class="sr-only"> 33% Complete (danger) </span>
</div>
</div>
</a></li>
<li><a href="#">
<div class="task-info">
<div class="desc">Dashboard v1.3</div>
<div class="percent">45%</div>
</div>
<div class="progress progress-striped active">
<div class="progress-bar set-45" role="progressbar"
aria-valuenow="45" aria-valuemin="0" aria-valuemax="100">
<span class="sr-only"> 45% Complete </span>
</div>
</div>
</a></li>
<li class="external"><a href="#"> See All Tasks </a></li>
</ul></li>
<!-- END NOTIFY TASK BAR -->
<!-- START NOTIFY INBOX BAR -->
<li id="header_inbox_bar" class="dropdown"><a
data-toggle="dropdown" class="dropdown-toggle" href="#"> <i
class="fa fa-envelope-o"> </i> <span class="badge bg-important">
5 </span>
</a>
<ul class="dropdown-menu extended inbox">
<li class="notify-arrow notify-arrow-blue"></li>
<li>
<p class="blue">You have 5 new messages</p>
</li>
<li><a href="#"> <span class="photo"> <img
alt="avatar" src="./img/avatar-mini.jpg">
</span> <span class="subject"> <span class="from">
Chintan Pandya </span> <span class="time"> Just now </span>
</span> <span class="message"> Hello, this is an example msg. </span>
</a></li>
<li><a href="#"> <span class="photo"> <img
alt="avatar" src="./img/avatar-mini2.jpg">
</span> <span class="subject"> <span class="from"> Parth
Jani </span> <span class="time"> 10 mins </span>
</span> <span class="message"> Hi, Bro how are you ? </span>
</a></li>
<li><a href="#"> <span class="photo"> <img
alt="avatar" src="./img/avatar-mini3.jpg">
</span> <span class="subject"> <span class="from"> Jay
Bardolia </span> <span class="time"> 3 hrs </span>
</span> <span class="message"> This is awesome dashboard. </span>
</a></li>
<li><a href="#"> <span class="photo"> <img
alt="avatar" src="./img/avatar-mini4.jpg">
</span> <span class="subject"> <span class="from"> ADMIN
BLACK </span> <span class="time"> Just now </span>
</span> <span class="message"> Hello, this is metrolab </span>
</a></li>
<li><a href="#"> See all messages </a></li>
</ul></li>
<!-- END NOTIFY INBOX BAR -->
<!-- START NOTIFY NOTIFICATION BAR -->
<li id="header_notification_bar" class="dropdown"><a
data-toggle="dropdown" class="dropdown-toggle" href="#"> <i
class="fa fa-bell-o"> </i> <span class="badge bg-warning">
7 </span>
</a>
<ul class="dropdown-menu extended notification">
<li class="notify-arrow notify-arrow-blue"></li>
<li>
<p class="blue">You have 7 new notifications</p>
</li>
<li><a href="#"> <span class="label label-danger">
<i class="fa fa-bolt"> </i>
</span> Server #3 overloaded. <span class="small italic"> 34
mins </span>
</a></li>
<li><a href="#"> <span class="label label-warning">
<i class="fa fa-bell"> </i>
</span> Server #10 not respoding. <span class="small italic"> 1
Hours </span>
</a></li>
<li><a href="#"> <span class="label label-danger">
<i class="fa fa-bolt"> </i>
</span> Database overloaded 24%. <span class="small italic"> 4
hrs </span>
</a></li>
<li><a href="#"> <span class="label label-success">
<i class="fa fa-plus"> </i>
</span> New user registered. <span class="small italic"> Just
now </span>
</a></li>
<li><a href="#"> <span class="label label-primary">
<i class="fa fa-bullhorn"> </i>
</span> Application error. <span class="small italic"> 10 mins </span>
</a></li>
<li><a href="#"> See all notifications </a></li>
</ul></li>
<!-- END NOTIFY NOTIFICATION BAR -->
</ul>
</nav>
<!-- END HEADER NAV -->
<!-- START USER LOGIN DROPDOWN -->
<div class="top-nav ">
<ul class="nav pull-right top-menu">
<li><input type="text" class="form-control search"
placeholder="Search"></li>
<li class="dropdown"><a data-toggle="dropdown"
class="dropdown-toggle" href="#"> <img alt=""
src="img/avatar1_small.jpg"> <span class="username">
ADMIN BLACK </span> <b class="caret"> </b>
</a>
<ul class="dropdown-menu extended logout">
<li class="log-arrow-up"></li>
<li><a href="#"> <i class=" fa fa-suitcase"> </i>
Profile
</a></li>
<li><a href="#"> <i class="fa fa-cog"> </i> Settings
</a></li>
<li><a href="#"> <i class="fa fa-bell-o"> </i>
Notification
</a></li>
<li><a href="login.html"> <i class="fa fa-key"> </i> Log
Out
</a></li>
</ul></li>
</ul>
</div>
<!-- END USER LOGIN DROPDOWN -->
</header>
<!-- END HEADER -->
<!-- BEGIN SIDEBAR -->
<aside>
<div id="sidebar" class="nav-collapse">
<ul class="sidebar-menu" id="nav-accordion">
<li><a href="index.html" class="active"> <i
class="fa fa-dashboard"> </i> <span> 流量概况 </span>
</a></li>
<li class="sub-menu"><a href="javascript:;"> <i
class="fa fa-book"> </i> <span> 流量分析 </span>
</a>
<ul class="sub">
<li><a href="flow-trend.html"> 趋势分析 </a></li>
<li><a href="flow-contract.html"> 对比分析 </a></li>
<li><a href="flow-online.html"> 当前在线 </a></li>
<li><a href="flow-detail.html"> 访问明细 </a></li>
</ul></li>
<li class="sub-menu"><a href="javascript:;"> <i
class="fa fa-th"> </i> <span> 来源分析 </span>
</a>
<ul class="sub">
<li><a href="#"> 来源分类 </a></li>
<li><a href="#"> 搜索引擎 </a></li>
<li><a href="#"> 搜索词 </a></li>
<li><a href="#"> 来路域名 </a></li>
<li><a href="#"> 来路页面 </a></li>
</ul></li>
<li class="sub-menu"><a href="javascript:;"> <i
class="fa fa-book"> </i> <span> 受访分析 </span>
</a>
<ul class="sub">
<li><a href="#"> 受访分析 </a></li>
<li><a href="#"> 受访域名 </a></li>
<li><a href="#"> 受访页面 </a></li>
<li><a href="#"> 受访升降榜 </a></li>
<li><a href="#"> 热点图 </a></li>
</ul></li>
<li class="sub-menu"><a href="javascript:;"> <i
class="fa fa-th"> </i> <span> 访客分析 </span>
</a>
<ul class="sub">
<li><a href="basic_table.html"> 地区/运营商 </a></li>
<li><a href="responsive_table.html">终端详情 </a></li>
<li><a href="dynamic_table.html"> 新老访客</a></li>
<li><a href="advanced_table.html"> 忠诚度 </a></li>
<li><a href="editable_table.html"> 活跃度 </a></li>
</ul></li>
</ul>
</div>
</aside>
<!-- END SIDEBAR -->
<!-- BEGIN MAIN CONTENT -->
<section id="main-content">
<!-- BEGIN WRAPPER -->
<section class="wrapper">
<!-- 流量概况表 开始 -->
<div class="row">
<div class="col-lg-12 col-sm-12">
<section class="panel">
<div class="panel-body">
<!-- 为ECharts准备一个具备大小(宽高)的Dom -->
<div>
<span><h3>流量信息概况</h3></span>
</div>
<div id="trendtable" style="width: 90%;">
<table id='pv_table' class="table table-bordered" margin=auto>
<thead style='font-weight: bold'>
<tr>
<td>日期</td>
<td>浏览次数(PV)</td>
<td>独立访客(UV)</td>
<td>IP</td>
<td>新独立访客</td>
<td>访问次数</td>
</tr>
</thead>
<tbody>
<tr>
<td>1001</td>
<td>4702</td>
<td>3096</td>
<td>2880</td>
<td>2506</td>
<td>3773</td>
</tr>
<tr>
<td>1002</td>
<td>7528</td>
<td>4860</td>
<td>4435</td>
<td>4209</td>
<td>5975</td>
</tr>
<tr>
<td>1003</td>
<td>7286</td>
<td>4741</td>
<td>4409</td>
<td>4026</td>
<td>5817</td>
</tr>
</tbody>
</table>
</div>
</div>
</section>
</div>
</div>
<!-- 流量概况表 结束-->
<!-- BEGIN ROW 最近7天日平均PV量-->
<div class="row">
<div class="col-lg-6 col-sm-6">
<section class="panel">
<div class="panel-body">
<div id="main1" style="width: 100%; height: 400px;"></div>
<script type="text/javascript">
$(document)
.ready(
function() {
var myChart = echarts
.init(document
.getElementById('main1'));
// 显示标题,图例和空的坐标轴
myChart
.setOption({
title : {
text : '最近7天日平均PV量',
subtext : '动态数据'
},
tooltip : {},
legend : {
data : [ '日平均PV量' ]
},
xAxis : {
data : []
},
yAxis : {},
series : [ {
name : '日平均PV量',
type : 'bar',
data : []
} ]
});
//loading 动画
myChart.showLoading();
// 异步加载数据
$.get('http://localhost:8080/avgPvNum').done(function(data) {
//填入数据
myChart.setOption({
xAxis : {
data : data.dates
},
series : [ {
// 根据名字对应到相应的系列
name : 'PV量',
data : data.data
} ]
});
//数据加载完成后再调用 hideLoading 方法隐藏加载动画
myChart.hideLoading();
});
});
</script>
</div>
</section>
</div>
<div class="col-lg-6 col-sm-6">
<section class="panel">
<div class="panel-body">
<div id="main2" style="width: 600px; height: 400px;"
align="center"></div>
<script type="text/javascript">
// 基于准备好的dom,初始化echarts实例
var myChart = echarts.init(document
.getElementById('main2'));
myChart
.setOption({
series : [ {
name : '访问来源',
type : 'pie',
radius : '55%',
data : [ {
value : 235,
name : '视频广告'
}, {
value : 274,
name : '联盟广告'
}, {
value : 310,
name : '邮件营销'
}, {
value : 335,
name : '直接访问'
}, {
value : 400,
name : '搜索引擎'
} ]
} ],
itemStyle : {
normal : {
// 阴影的大小
shadowBlur : 200,
// 阴影水平方向上的偏移
shadowOffsetX : 0,
// 阴影垂直方向上的偏移
shadowOffsetY : 0,
// 阴影颜色
shadowColor : 'rgba(0, 0, 0, 0.5)'
}
}
})
</script>
</div>
</section>
</div>
</div>
<!-- END ROW -->
<!-- 折线图 row 开始 -->
<div class="row">
<div class="col-lg-12 col-sm-12">
<section class="panel">
<div class="panel-body">
<div id="main3" style="width: 100%; height: 500px;"></div>
<script type="text/javascript">
// 基于准备好的dom,初始化echarts实例
var myChart3 = echarts.init(document
.getElementById('main3'));
option = {
title : {
text : '访客来源地区分布图',
subtext : '模拟数据',
x : 'center'
},
tooltip : {
trigger : 'item'
},
legend : {
orient : 'vertical',
x : 'left',
data : [ '访客UV' ]
},
dataRange : {
min : 0,
max : 2500,
x : 'left',
y : 'bottom',
text : [ '高', '低' ], // 文本,默认为数值文本
calculable : true
},
toolbox : {
show : true,
orient : 'vertical',
x : 'right',
y : 'center',
feature : {
mark : {
show : true
},
dataView : {
show : true,
readOnly : false
},
restore : {
show : true
},
saveAsImage : {
show : true
}
}
},
roamController : {
show : true,
x : 'right',
mapTypeControl : {
'china' : true
}
},
series : [
{
name : '访客UV',
type : 'map',
mapType : 'china',
roam : false,
itemStyle : {
normal : {
label : {
show : true
}
},
emphasis : {
label : {
show : true
}
}
},
data : [
{
name : '北京',
value : Math
.round(Math
.random() * 1000)
},
{
name : '天津',
value : Math
.round(Math
.random() * 1000)
},
{
name : '上海',
value : Math
.round(Math
.random() * 1000)
},
{
name : '重庆',
value : Math
.round(Math
.random() * 1000)
},
{
name : '河北',
value : Math
.round(Math
.random() * 1000)
},
{
name : '河南',
value : Math
.round(Math
.random() * 1000)
},
{
name : '云南',
value : Math
.round(Math
.random() * 1000)
},
{
name : '辽宁',
value : Math
.round(Math
.random() * 1000)
},
{
name : '黑龙江',
value : Math
.round(Math
.random() * 1000)
},
{
name : '湖南',
value : Math
.round(Math
.random() * 1000)
},
{
name : '安徽',
value : Math
.round(Math
.random() * 1000)
},
{
name : '山东',
value : Math
.round(Math
.random() * 1000)
},
{
name : '新疆',
value : Math
.round(Math
.random() * 1000)
},
{
name : '江苏',
value : Math
.round(Math
.random() * 1000)
},
{
name : '浙江',
value : Math
.round(Math
.random() * 1000)
},
{
name : '江西',
value : Math
.round(Math
.random() * 1000)
},
{
name : '湖北',
value : Math
.round(Math
.random() * 1000)
},
{
name : '广西',
value : Math
.round(Math
.random() * 1000)
},
{
name : '甘肃',
value : Math
.round(Math
.random() * 1000)
},
{
name : '山西',
value : Math
.round(Math
.random() * 1000)
},
{
name : '内蒙古',
value : Math
.round(Math
.random() * 1000)
},
{
name : '陕西',
value : Math
.round(Math
.random() * 1000)
},
{
name : '吉林',
value : Math
.round(Math
.random() * 1000)
},
{
name : '福建',
value : Math
.round(Math
.random() * 1000)
},
{
name : '贵州',
value : Math
.round(Math
.random() * 1000)
},
{
name : '广东',
value : Math
.round(Math
.random() * 1000)
},
{
name : '青海',
value : Math
.round(Math
.random() * 1000)
},
{
name : '西藏',
value : Math
.round(Math
.random() * 1000)
},
{
name : '四川',
value : Math
.round(Math
.random() * 1000)
},
{
name : '宁夏',
value : Math
.round(Math
.random() * 1000)
},
{
name : '海南',
value : Math
.round(Math
.random() * 1000)
},
{
name : '台湾',
value : Math
.round(Math
.random() * 1000)
},
{
name : '香港',
value : Math
.round(Math
.random() * 1000)
},
{
name : '澳门',
value : Math
.round(Math
.random() * 1000)
} ]
},
]
};
myChart3.setOption(option);
</script>
</div>
</section>
</div>
</div>
<!-- 折线图 row 结束 -->
<!-- 动态加载数据示例 开始-->
<div class="row">
<div class="col-lg-12 col-sm-12">
<section class="panel">
<div class="panel-body">
<div id="main4" style="width: 100%; height: 400px;"></div>
<script type="text/javascript">
// 基于准备好的dom,初始化echarts实例
var myChart4 = echarts.init(document
.getElementById('main4'));
// 指定图表的配置项和数据
option = {
title : {
text : '近一周访客数量变化趋势',
subtext : '动态数据'
},
tooltip : {
trigger : 'axis'
},
legend : {
data : [ '独立访客', '新独立访客' ]
},
toolbox : {
show : true,
feature : {
mark : {
show : true
},
dataView : {
show : true,
readOnly : false
},
magicType : {
show : true,
type : [ 'line', 'bar' ]
},
restore : {
show : true
},
saveAsImage : {
show : true
}
}
},
calculable : true,
xAxis : [ {
type : 'category',
boundaryGap : false,
data : []
} ],
yAxis : [ {
type : 'value',
axisLabel : {
formatter : '{value} 人'
}
} ],
series : [ {
name : '独立访客',
type : 'line',
data : [],
markPoint : {
data : [ {
type : 'max',
name : '最大值'
}, {
type : 'min',
name : '最小值'
} ]
},
markLine : {
data : [ {
type : 'average',
name : '平均值'
} ]
}
}, {
name : '新独立访客',
type : 'line',
data : [],
markPoint : {
data : [ {
type : 'max',
name : '最大值'
}, {
type : 'min',
name : '最小值'
} ]
},
markLine : {
data : [ {
type : 'average',
name : '平均值'
} ]
}
} ]
};
// 使用刚指定的配置项和数据显示图表。
myChart4.setOption(option);
myChart4.showLoading();
// 异步加载数据
$.get('http://localhost:8080/flowNum')
.done(function(data) {
// 填入数据
myChart4.setOption({
xAxis : {
data : data.dates
},
series : [ {
name : '独立访客',
data : data.uvs
}, {
name : '新独立访客',
data : data.new_uvs
} ]
});
myChart4.hideLoading();
});
</script>
</div>
</section>
</div>
</div>
<!-- 动态加载数据示例 结束-->
<!-- BEGIN ROW -->
<div class="row">
<div class="col-lg-6">
<div class="panel">
<div class="panel-body">
<footer class="project-category">
<ul>
<li class="active">
<h5>Project 1</h5>
<div id="work-progress6"></div>
</li>
<li>
<h5>Project 2</h5>
<div id="work-progress7"></div>
</li>
<li>
<h5>Project 3</h5>
<div id="work-progress8"></div>
</li>
</ul>
<h1>Projects accomplished</h1>
</footer>
<!-- END FOOTER -->
</div>
</div>
</div>
<div class="col-lg-6">
<div class="panel">
<div class="panel-body">
<div class="bio-chart">
<input class="knob" data-width="100" data-height="100"
data-displayPrevious=true data-thickness=".2" value="78"
data-fgColor="#f9a3a3" data-bgColor="#e8e8e8">
<h4 class="red">Profit</h4>
</div>
<div class="bio-chart">
<input class="knob" data-width="100" data-height="100"
data-displayPrevious=true data-thickness=".2" value="63"
data-fgColor="#fcce54" data-bgColor="#e8e8e8">
<h4 class="yellow">Expansion</h4>
</div>
</div>
</div>
</div>
</div>
<!-- END ROW -->
</section>
<!-- END WRAPPER -->
</section>
<!-- END MAIN CONTENT -->
<!-- BEGIN FOOTER -->
<footer class="site-footer">
<div class="text-center">
2017 © PINYOUGOU by <a href="" target="_blank">
www.itcast.cn </a> <a href="http://www.itcast.cn" class="go-top"> <i
class="fa fa-angle-up"> </i>
</a>
</div>
</footer>
<!-- END FOOTER -->
</section>
<!-- END SECTION -->
<!-- BEGIN JS -->
<!-- BASIC JQUERY 1.8.3 LIB. JS -->
<script src="js/bootstrap.min.js"></script>
<!-- BOOTSTRAP JS -->
<script src="js/jquery.dcjqaccordion.2.7.js"></script>
<!-- ACCORDIN JS -->
<script src="js/jquery.scrollTo.min.js"></script>
<!-- SCROLLTO JS -->
<script src="js/jquery.nicescroll.js"></script>
<!-- NICESCROLL JS -->
<script src="js/respond.min.js"></script>
<!-- RESPOND JS -->
<script src="js/jquery.sparkline.js"></script>
<!-- SPARKLINE JS -->
<script src="js/sparkline-chart.js"></script>
<!-- SPARKLINE CHART JS -->
<script src="js/common-scripts.js"></script>
<!-- BASIC COMMON JS -->
<script src="js/count.js"></script>
<!-- COUNT JS -->
<!--Morris-->
<script src="assets/morris.js-0.4.3/morris.min.js"></script>
<!-- MORRIS JS -->
<script src="assets/morris.js-0.4.3/raphael-min.js"></script>
<!-- MORRIS JS -->
<script src="js/chart.js"></script>
<!-- CHART JS -->
<!--Calendar-->
<script src="js/calendar/clndr.js"></script>
<!-- CALENDER JS -->
<script src="js/calendar/evnt.calendar.init.js"></script>
<!-- CALENDER EVENT JS -->
<script src="js/calendar/moment-2.2.1.js"></script>
<!-- CALENDER MOMENT JS -->
<!-- <script src="http://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.5.2/underscore-min.js"></script> -->
<!-- UNDERSCORE JS -->
<script src="assets/jquery-knob/js/jquery.knob.js"></script>
<!-- JQUERY KNOB JS -->
<script>
//knob
$(".knob").knob();
</script>
<!-- END JS -->
</body>
</html>
3、系统功能模块展示
参考书籍:
《Hadoop大数据技术原理与应用》