技术栈
Flume： 收集本地日志
DataHub： 消息总线，类似于Kafka，缓存Flume推过来的日志信息
DataWorks： 大数据业务开发平台，可以看成一个IDE，底层是用MaxCompute进行数据计算的
MaxCompute： 计算引擎，类似于MapReduce和Spark
VmWare： 部署Flume用的虚拟机，这边直接用了最初搭建Hadoop三节点集群的主节点主机（hostname是hadoop100）
Mysql： 整个离线数仓的业务中数据集成和数据导出所使用的数据库，在自己的云服务器上，没钱买阿里的RDS😂
其他： Java、SQL、Linux基础啥的，最基本要求
业务流程架构
首先自己mock一些日志数据，通过Flume推到DataHub，DataHub将数据同步到DataWorks上的具体表中。并通过Mysql（图中是RDS服务器，咱们用免费的MYysql）获取到其他额外数据，并将这些数据进行清洗、转换和分层（ods、dwd、dws、ads），按照业务流程进行计算，最终输出回Mysql
日志生成
首先生成提供给Flume的日志，其中日志的json消息主要格式如下：
- 公共字段：基本所有安卓手机都包含的字段
- 业务字段：埋点上报的字段，有具体的业务类型
{
"ap": "xxxxx",
//项目数据来源 app pc
"cm": {
//公共字段
"mid": "",
// (String) 设备唯一标识
"uid": "",
// (String) 用户标识
"vc": "1",
// (String) versionCode，程序版本号 "vn": "1.0", // (String) versionName，程序版本名 "l": "zh", // (String) language 系统语言
"sr": "",
// (String) 渠道号，应用从哪个渠道来的。 "os": "7.1.1", // (String) Android 系统版本 "ar": "CN", // (String) area 区域
"md": "BBB100-1",
// (String) model 手机型号 "ba": "blackberry", // (String) brand 手机品牌 "sv": "V2.2.1", // (String) sdkVersion
"g": "",
// (String) gmail
"hw": "1620x1080",
// (String) heightXwidth，屏幕宽高 "t": "1506047606608", // (String) 客户端日志产生时的时间 "nw": "WIFI", // (String) 网络模式
"ln": 0,
// (double) lng 经度
"la": 0
// (double) lat 纬度
},
"et": [
//事件
{
"ett": "1506047605364",
//客户端事件产生时间 "en": "display", //事件名称
"kv": {
//事件结果，以 key-value 形式自行定义
"goodsid": "236",
"action": "1",
"extend1": "1",
"place": "2",
"category": "75"
}
}
]
}
示例日志（服务器时间戳 | 日志）：
1540934156385 | {
"ap": "gmall",
"cm": {
"uid": "1234",
"vc": "2",
"vn": "1.0",
"la": "EN",
"sr": "",
"os": "7.1.1",
"ar": "CN",
"md": "BBB100-1",
"ba": "blackberry",
"sv": "V2.2.1",
"g": "abc@gmail.com",
"hw": "1620x1080",
"t": "1506047606608",
"nw": "WIFI",
"ln": 0
},
"et": [
{
"ett": "1506047605364",
//客户端事件产生时间 "en": "display", //事件名称
"kv": {
//事件结果，以 key-value 形式自行定义
"goodsid": "236",
"action": "1",
"extend1": "1",
"place": "2",
"category": "75"
}
},
{
"ett": "1552352626835",
"en": "error",
"kv": {
"errorBrief": "错误摘要",
"errorDetail": "错误详情"
}
}
]
}
事件日志字段解析
商品列表页（loading）
事件名称：loading
| 标签 | 含义 |
|---|---|
| action | 动作：开始加载=1，加载成功=2，加载失败=3 |
| loading_time | 加载时长：计算下拉开始到接口返回数据的时间，（开始加载报 0，加载成功或加载失败才上报时间） |
| loading_way | 加载类型：1-读取缓存，2-从接口拉新数据（加载成功才上报加载类型） |
| extend1 | 扩展字段 Extend1 |
| extend2 | 扩展字段 Extend2 |
| type | 加载类型：自动加载=1，用户下拽加载=2，底部加载=3（底部条触发点击底部提示条/点击返回顶部加载） |
| type1 | 加载失败码：把加载失败状态码报回来（报空为加载成功，没有失败） |
商品曝光（display）
事件标签：display
| 标签 | 含义 | |
|---|---|---|
| action | 动作：曝光商品=1，点击商品=2 | |
| goodsid | 商品 ID（服务端下发的 ID） | |
| place | 顺序（第几条商品，第一条为 0，第二条为 1，如此类推） | |
| extend1 | 曝光类型：1 - 首次曝光 2-重复曝光 | |
| category | 分类 ID（服务端定义的分类 ID） |
商品详情页（newsdetail）
事件标签：newsdetail
| 标签 | 含义 |
|---|---|
| entry | 页面入口来源：应用首页=1、push=2、详情页相关推荐=3 |
| action | 动作：开始加载=1，加载成功=2（pv），加载失败=3, 退出页面=4 |
| goodsid 商品 ID（服务端下发的 ID） | |
| show_style 商品样式：0、无图、1、一张大图、2、两张图、3、三张小图、4、一张小图、5、一张大图两张小图 | |
| news_staytime | 页面停留时长：从商品开始加载时开始计算，到用户关闭页面所用的时间。若中途用跳转到其它页面了，则暂停计时，待回到详情页时恢复计时。或中途划出的时间超过 10 分钟，则本次计时作废，不上报本次数据。如未加载成功退出，则报空。 |
| loading_time | 加载时长：计算页面开始加载到接口返回数据的时间 （开始加载报 0，加载成功或加载失败才上报时间） |
| type1 | 加载失败码：把加载失败状态码报回来（报空为加载成功，没有失败） |
| category | 分类 ID（服务端定义的分类 ID） |
购物车（cart）
购物车标签：cart
| 标签 | 含义 |
|---|---|
| itemid | 商品 |
| action | 操作类型：1 添加购物车；2 改变商品数量；3 移除商品 |
| change_num | 加减数量 |
| before_num | 更改前数量 |
| after_num | 更改后数量 |
| price | 商品单价 |
广告（ad）
事件名称：ad
| 标签 | 含义 |
|---|---|
| entry | 入口：商品列表页=1 应用首页=2 商品详情页=3 |
| action | 动作：请求广告=1 取缓存广告=2 广告位展示=3 广告展示=4 广告点击=5 |
| content | 状态：成功=1 失败=2 |
| detail | 失败码（没有则上报空） |
| source | 广告来源:admob=1 facebook=2 ADX（百度）=3 VK（头条）=4 |
| behavior | 用户行为：主动获取广告=1；被动获取广告=2 |
| newstype | Type: 1- 图文 2-图集 3-段子 4-GIF 5-视频 6-调查 7-纯文 8-视频+图文 9-GIF+图文 0-其他 |
| show_style | 内容样式：无图(纯文字)=6 一张大图=1 三站小图+文=4 一张小图=2 一张大图两张小图+文=3 图集+文 = 5 一张大图+文=11 GIF 大图+文=12 视频(大图)+文 = 13 来源于详情页相关推荐的商品，上报样式都为 0（因为都是左文右图） |
消息通知（notification）
事件标签：notification
| 标签 | 含义 |
|---|---|
| action | 动作：通知产生=1，通知弹出=2，通知点击=3，常驻通知展示（不重复上报，一天之内只报一次）=4 |
| type | 通知 id：预警通知=1，天气预报（早=2，晚=3），常驻=4 |
| ap_time | 客户端弹出时间 |
| content | 备用字段 |
评论表标签（comment）
评论表标签：comment
| 标签 | 含义 | 字段类型 | 长度 | 允许空 | 缺省值 |
|---|---|---|---|---|---|
| comment_id | 评论表 | int | 10,0 | ||
| userid | 用户 id | int | 10,0 | √ | 0 |
| p_comment_id | 父级评论 id(为 0 则是一级评论,不为 0 则是回复) | int | 10,0 | √ | |
| content | 评论内容 | string | 1000 | √ | |
| addtime | 创建时间 | string | √ | ||
| other_id | 评论的相关 id | int | 10,0 | √ | |
| praise_count | 点赞数量 | int | 10,0 | √ | 0 |
| eply_count | 回复数量 | int | 10,0 | √ | 0 |
收藏（favorites）
收藏标签：favorites
| 标签 | 含义 | 字段类型 | 长度 | 允许空 | 缺省值 |
|---|---|---|---|---|---|
| id | 主键 | int | 10,0 | ||
| course_id | 商品 id | int | 10,0 | √ | 0 |
| userid | 用户 ID | int | 10,0 | √ | 0 |
| add_time | 创建时间 | string | √ |
点赞（praise）
点赞标签：praise
| 标签 | 含义 | 字段类型 | 长度 | 允许空 | 缺省值 |
|---|---|---|---|---|---|
| id | 主键 | id | int | 10,0 | |
| userid | 用户 id | int | 10,0 | √ | |
| target_id | 点赞的对象 id | int | 10,0 | √ | |
| type | 点赞类型：1 问答点赞； 2 问答评论点赞； 3 文章点赞数； 4 评论点赞 | int | 10,0 | √ | |
| add_time | 添加时间 | string | √ |
错误日志（error）
错误日志标签：error
| 标签 | 含义 |
|---|---|
| errorBrief | 错误摘要 |
| errorDetail | 错误详情 |
启动日志数据（start）
启动日志标签：start
| 标签 | 含义 |
|---|---|
| entry | 入 口 ： push=1 ， widget=2 ， icon=3 ， notification=4, lockscreen_widget =5 |
| open_ad_type | 开屏广告类型: 开屏原生广告=1, 开屏插屏广告=2 |
| action | 状态：成功=1 失败=2 |
| loading_time | 加载时长：计算下拉开始到接口返回数据的时间，（开始加载报 0，加载成功或加载失败才上报时间） |
| detail | 失败码（没有则上报空） |
| extend1 | 失败的 message（没有则上报空） |
| en | 日志类型 start |
日志生成脚本
pom依赖
<?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>ltd.cmjava</groupId>
<artifactId>aliyun_datawarehouse</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<slf4j.version>1.7.20</slf4j.version>
<logback.version>1.0.7</logback.version>
</properties>
<dependencies>
<!--阿里巴巴开源json解析框架-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.51</version>
</dependency>
<!--日志生成框架-->
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-core</artifactId>
<version>${logback.version}</version>
</dependency>
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-classic</artifactId>
<version>${logback.version}</version>
</dependency>
<dependency>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>2.3.2</version>
</dependency>
<dependency>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>3.4.2</version>
</dependency>
</dependencies>
<!--编译打包插件-->
<build>
<plugins>
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<version>2.3.2</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<archive>
<manifest>
<mainClass>ltd.cmjava.appclient.AppMain</mainClass>
</manifest>
</archive>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
日志Bean
AppBase（公共字段）
package ltd.cmjava.bean;
/**
* 公共日志
*/
public class AppBase {
private String mid; // (String) 设备唯一标识
private String uid; // (String) 用户uid
private String vc; // (String) versionCode，程序版本号
private String vn; // (String) versionName，程序版本名
private String l; // (String) 系统语言
private String sr; // (String) 渠道号，应用从哪个渠道来的。
private String os; // (String) Android系统版本
private String ar; // (String) 区域
private String md; // (String) 手机型号
private String ba; // (String) 手机品牌
private String sv; // (String) sdkVersion
private String g; // (String) gmail
private String hw; // (String) heightXwidth，屏幕宽高
private String t; // (String) 客户端日志产生时的时间
private String nw; // (String) 网络模式
private String ln; // (double) lng经度
private String la; // (double) lat 纬度
public String getMid() {
return mid;
}
public void setMid(String mid) {
this.mid = mid;
}
public String getUid() {
return uid;
}
public void setUid(String uid) {
this.uid = uid;
}
public String getVc() {
return vc;
}
public void setVc(String vc) {
this.vc = vc;
}
public String getVn() {
return vn;
}
public void setVn(String vn) {
this.vn = vn;
}
public String getL() {
return l;
}
public void setL(String l) {
this.l = l;
}
public String getSr() {
return sr;
}
public void setSr(String sr) {
this.sr = sr;
}
public String getOs() {
return os;
}
public void setOs(String os) {
this.os = os;
}
public String getAr() {
return ar;
}
public void setAr(String ar) {
this.ar = ar;
}
public String getMd() {
return md;
}
public void setMd(String md) {
this.md = md;
}
public String getBa() {
return ba;
}
public void setBa(String ba) {
this.ba = ba;
}
public String getSv() {
return sv;
}
public void setSv(String sv) {
this.sv = sv;
}
public String getG() {
return g;
}
public void setG(String g) {
this.g = g;
}
public String getHw() {
return hw;
}
public void setHw(String hw) {
this.hw = hw;
}
public String getT() {
return t;
}
public void setT(String t) {
this.t = t;
}
public String getNw() {
return nw;
}
public void setNw(String nw) {
this.nw = nw;
}
public String getLn() {
return ln;
}
public void setLn(String ln) {
this.ln = ln;
}
public String getLa() {
return la;
}
public void setLa(String la) {
this.la = la;
}
}
AppStart（启动日志）
package ltd.cmjava.bean;
/**
* 启动日志
*/
public class AppStart extends AppBase {
private String entry;//入口： push=1，widget=2，icon=3，notification=4, lockscreen_widget =5
private String open_ad_type;//开屏广告类型: 开屏原生广告=1, 开屏插屏广告=2
private String action;//状态：成功=1 失败=2
private String loading_time;//加载时长：计算下拉开始到接口返回数据的时间，（开始加载报0，加载成功或加载失败才上报时间）
private String detail;//失败码（没有则上报空）
private String extend1;//失败的message（没有则上报空）
private String en;//启动日志类型标记
public String getEntry() {
return entry;
}
public void setEntry(String entry) {
this.entry = entry;
}
public String getOpen_ad_type() {
return open_ad_type;
}
public void setOpen_ad_type(String open_ad_type) {
this.open_ad_type = open_ad_type;
}
public String getAction() {
return action;
}
public void setAction(String action) {
this.action = action;
}
public String getLoading_time() {
return loading_time;
}
public void setLoading_time(String loading_time) {
this.loading_time = loading_time;
}
public String getDetail() {
return detail;
}
public void setDetail(String detail) {
this.detail = detail;
}
public String getExtend1() {
return extend1;
}
public void setExtend1(String extend1) {
this.extend1 = extend1;
}
public String getEn() {
return en;
}
public void setEn(String en) {
this.en = en;
}
}
AppError（错误日志）
package ltd.cmjava.bean;
public class AppError {
private String errorBrief; //错误摘要
private String errorDetail; //错误详情
public String getErrorBrief() {
return errorBrief;
}
public void setErrorBrief(String errorBrief) {
this.errorBrief = errorBrief;
}
public String getErrorDetail() {
return errorDetail;
}
public void setErrorDetail(String errorDetail) {
this.errorDetail = errorDetail;
}
}
AppDisplay（商品曝光）
package ltd.cmjava.bean;
/**
* 商品曝光日志
*/
public class AppDisplay {
private String action;//动作：曝光商品=1，点击商品=2，
private String goodsid;//商品ID（服务端下发的ID）
private String place;//顺序（第几条商品，第一条为0，第二条为1，如此类推）
private String extend1;//曝光类型：1 - 首次曝光 2-重复曝光（没有使用）
private String category;//分类ID（服务端定义的分类ID）
public String getAction() {
return action;
}
public void setAction(String action) {
this.action = action;
}
public String getGoodsid() {
return goodsid;
}
public void setGoodsid(String goodsid) {
this.goodsid = goodsid;
}
public String getPlace() {
return place;
}
public void setPlace(String place) {
this.place = place;
}
public String getExtend1() {
return extend1;
}
public void setExtend1(String extend1) {
this.extend1 = extend1;
}
public String getCategory() {
return category;
}
public void setCategory(String category) {
this.category = category;
}
}
AppNewsDetail （商品详情页）
package ltd.cmjava.bean;
/**
* 商品详情
*/
public class AppNewsDetail {
private String entry;//页面入口来源：应用首页=1、push=2、详情页相关推荐=3
private String action;//动作：开始加载=1，加载成功=2（pv），加载失败=3, 退出页面=4
private String goodsid;//商品ID（服务端下发的ID）
private String showtype;//商品样式：0、无图1、一张大图2、两张图3、三张小图4、一张小图5、一张大图两张小图 来源于详情页相关推荐的商品，上报样式都为0（因为都是左文右图）
private String news_staytime;//页面停留时长：从商品开始加载时开始计算，到用户关闭页面所用的时间。若中途用跳转到其它页面了，则暂停计时，待回到详情页时恢复计时。或中途划出的时间超过10分钟，则本次计时作废，不上报本次数据。如未加载成功退出，则报空。
private String loading_time;//加载时长：计算页面开始加载到接口返回数据的时间 （开始加载报0，加载成功或加载失败才上报时间）
private String type1;//加载失败码：把加载失败状态码报回来（报空为加载成功，没有失败）
private String category;//分类ID（服务端定义的分类ID）
public String getEntry() {
return entry;
}
public void setEntry(String entry) {
this.entry = entry;
}
public String getAction() {
return action;
}
public void setAction(String action) {
this.action = action;
}
public String getGoodsid() {
return goodsid;
}
public void setGoodsid(String goodsid) {
this.goodsid = goodsid;
}
public String getShowtype() {
return showtype;
}
public void setShowtype(String showtype) {
this.showtype = showtype;
}
public String getNews_staytime() {
return news_staytime;
}
public void setNews_staytime(String news_staytime) {
this.news_staytime = news_staytime;
}
public String getLoading_time() {
return loading_time;
}
public void setLoading_time(String loading_time) {
this.loading_time = loading_time;
}
public String getType1() {
return type1;
}
public void setType1(String type1) {
this.type1 = type1;
}
public String getCategory() {
return category;
}
public void setCategory(String category) {
this.category = category;
}
}
AppLoading（商品列表页）
package ltd.cmjava.bean;
/**
* 商品列表
*/
public class AppLoading {
private String action;//动作：开始加载=1，加载成功=2，加载失败=3
private String loading_time;//加载时长：计算下拉开始到接口返回数据的时间，（开始加载报0，加载成功或加载失败才上报时间）
private String loading_way;//加载类型：1-读取缓存，2-从接口拉新数据 （加载成功才上报加载类型）
private String extend1;//扩展字段 Extend1
private String extend2;//扩展字段 Extend2
private String type;//加载类型：自动加载=1，用户下拽加载=2，底部加载=3（底部条触发点击底部提示条/点击返回顶部加载）
private String type1;//加载失败码：把加载失败状态码报回来（报空为加载成功，没有失败）
public String getAction() {
return action;
}
public void setAction(String action) {
this.action = action;
}
public String getLoading_time() {
return loading_time;
}
public void setLoading_time(String loading_time) {
this.loading_time = loading_time;
}
public String getLoading_way() {
return loading_way;
}
public void setLoading_way(String loading_way) {
this.loading_way = loading_way;
}
public String getExtend1() {
return extend1;
}
public void setExtend1(String extend1) {
this.extend1 = extend1;
}
public String getExtend2() {
return extend2;
}
public void setExtend2(String extend2) {
this.extend2 = extend2;
}
public String getType() {
return type;
}
public void setType(String type) {
this.type = type;
}
public String getType1() {
return type1;
}
public void setType1(String type1) {
this.type1 = type1;
}
}
AppCart（购物车）
package ltd.cmjava.bean;
/**
* 购物车
*/
public class AppCart {
int itemid;
int action; // 1 添加产品进购物车 2 调整购物车数量
int changeNum; // 数量变化
int beforeNum;// 变化前数量
int afterNum; //变化后数量
Double price; //加入购物车时的单价
public int getItemid() {
return itemid;
}
public void setItemid(int itemid) {
this.itemid = itemid;
}
public int getAction() {
return action;
}
public void setAction(int action) {
this.action = action;
}
public int getChangeNum() {
return changeNum;
}
public void setChangeNum(int changeNum) {
this.changeNum = changeNum;
}
public int getBeforeNum() {
return beforeNum;
}
public void setBeforeNum(int beforeNum) {
this.beforeNum = beforeNum;
}
public int getAfterNum() {
return afterNum;
}
public void setAfterNum(int afterNum) {
this.afterNum = afterNum;
}
public Double getPrice() {
return price;
}
public void setPrice(Double price) {
this.price = price;
}
}
AppAd（广告）
package ltd.cmjava.bean;
/**
* 广告
*/
public class AppAd {
private String entry;//入口：商品列表页=1 应用首页=2 商品详情页=3
private String action;//动作：请求广告=1 取缓存广告=2 广告位展示=3 广告展示=4 广告点击=5
private String content;//状态：成功=1 失败=2
private String detail;//失败码（没有则上报空）
private String source;//广告来源:admob=1 facebook=2 ADX（百度）=3 VK（俄罗斯）=4
private String behavior;//用户行为： 主动获取广告=1 被动获取广告=2
private String newstype;//Type: 1- 图文 2-图集 3-段子 4-GIF 5-视频 6-调查 7-纯文 8-视频+图文 9-GIF+图文 0-其他
private String show_style;//内容样式：无图(纯文字)=6 一张大图=1 三站小图+文=4 一张小图=2 一张大图两张小图+文=3 图集+文 = 5
//一张大图+文=11 GIF大图+文=12 视频(大图)+文 = 13
//来源于详情页相关推荐的商品，上报样式都为0（因为都是左文右图）
public String getEntry() {
return entry;
}
public void setEntry(String entry) {
this.entry = entry;
}
public String getAction() {
return action;
}
public void setAction(String action) {
this.action = action;
}
public String getContent() {
return content;
}
public void setContent(String content) {
this.content = content;
}
public String getDetail() {
return detail;
}
public void setDetail(String detail) {
this.detail = detail;
}
public String getSource() {
return source;
}
public void setSource(String source) {
this.source = source;
}
public String getBehavior() {
return behavior;
}
public void setBehavior(String behavior) {
this.behavior = behavior;
}
public String getNewstype() {
return newstype;
}
public void setNewstype(String newstype) {
this.newstype = newstype;
}
public String getShow_style() {
return show_style;
}
public void setShow_style(String show_style) {
this.show_style = show_style;
}
}
AppNotification（消息通知）
package ltd.cmjava.bean;
/**
* 消息通知日志
*/
public class AppNotification {
private String action;//动作：通知产生=1，通知弹出=2，通知点击=3，常驻通知展示（不重复上报，一天之内只报一次）=4
private String type;//通知id：预警通知=1，天气预报（早=2，晚=3），常驻=4
private String ap_time;//客户端弹出时间
private String content;//备用字段
public String getAction() {
return action;
}
public void setAction(String action) {
this.action = action;
}
public String getType() {
return type;
}
public void setType(String type) {
this.type = type;
}
public String getAp_time() {
return ap_time;
}
public void setAp_time(String ap_time) {
this.ap_time = ap_time;
}
public String getContent() {
return content;
}
public void setContent(String content) {
this.content = content;
}
}
AppComment（用户评论）
package ltd.cmjava.bean;
/**
* 评论
*/
public class AppComment {
private int comment_id;//评论表
private int userid;//用户id
private int p_comment_id;//父级评论id(为0则是一级评论,不为0则是回复)
private String content;//评论内容
private String addtime;//创建时间
private int other_id;//评论的相关id
private int praise_count;//点赞数量
private int reply_count;//回复数量
public int getComment_id() {
return comment_id;
}
public void setComment_id(int comment_id) {
this.comment_id = comment_id;
}
public int getUserid() {
return userid;
}
public void setUserid(int userid) {
this.userid = userid;
}
public int getP_comment_id() {
return p_comment_id;
}
public void setP_comment_id(int p_comment_id) {
this.p_comment_id = p_comment_id;
}
public String getContent() {
return content;
}
public void setContent(String content) {
this.content = content;
}
public String getAddtime() {
return addtime;
}
public void setAddtime(String addtime) {
this.addtime = addtime;
}
public int getOther_id() {
return other_id;
}
public void setOther_id(int other_id) {
this.other_id = other_id;
}
public int getPraise_count() {
return praise_count;
}
public void setPraise_count(int praise_count) {
this.praise_count = praise_count;
}
public int getReply_count() {
return reply_count;
}
public void setReply_count(int reply_count) {
this.reply_count = reply_count;
}
}
AppFavorites（用户收藏）
package ltd.cmjava.bean;
/**
* 收藏
*/
public class AppFavorites {
private int id;//主键
private int course_id;//商品id
private int userid;//用户ID
private String add_time;//创建时间
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public int getCourse_id() {
return course_id;
}
public void setCourse_id(int course_id) {
this.course_id = course_id;
}
public int getUserid() {
return userid;
}
public void setUserid(int userid) {
this.userid = userid;
}
public String getAdd_time() {
return add_time;
}
public void setAdd_time(String add_time) {
this.add_time = add_time;
}
}
AppPraise（用户点赞）
package ltd.cmjava.bean;
/**
* 点赞
*/
public class AppPraise {
private int id; //主键id
private int userid;//用户id
private int target_id;//点赞的对象id
private int type;//点赞类型 1问答点赞 2问答评论点赞 3 文章点赞数4 评论点赞
private String add_time;//添加时间
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public int getUserid() {
return userid;
}
public void setUserid(int userid) {
this.userid = userid;
}
public int getTarget_id() {
return target_id;
}
public void setTarget_id(int target_id) {
this.target_id = target_id;
}
public int getType() {
return type;
}
public void setType(int type) {
this.type = type;
}
public String getAdd_time() {
return add_time;
}
public void setAdd_time(String add_time) {
this.add_time = add_time;
}
}
Main方法
package ltd.cmjava.appclient;
import java.io.File;
import java.io.UnsupportedEncodingException;
import java.util.Random;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import ltd.cmjava.bean.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* 日志行为数据模拟
*/
@SuppressWarnings("ALL")
public class AppMain {
private final static Logger logger = LoggerFactory.getLogger(AppMain.class);
private static Random rand = new Random();
// 设备id
private static int s_mid = 0;
// 用户id
private static int s_uid = 0;
// 商品id
private static int s_goodsid = 0;
public static void main(String[] args) {
// 参数一：控制发送每条的延时时间，默认是0
Long delay = args.length > 0 ? Long.parseLong(args[0]) : 0L;
// 参数二：循环遍历次数
int loop_len = args.length > 1 ? Integer.parseInt(args[1]) : 1000;
// 清除日志
// clearLog();
// 生成数据
generateLog(delay, loop_len);
}
private static void clearLog() {
String os = System.getProperty("os.name");
if (os == null || !os.toLowerCase().startsWith("linux")) {
return;
}
File logDir = new File("/opt/module/logs");
if (logDir.exists()){
for (File log : logDir.listFiles()) {
log.delete();
}
}
}
private static void generateLog(Long delay, int loop_len) {
for (int i = 0; i < loop_len; i++) {
JSONObject json = new JSONObject();
json.put("ap", "app");
json.put("cm", generateComFields());
JSONArray eventsArray = new JSONArray();
// 启动日志
eventsArray.add(generateStart());
// 事件日志
// 商品曝光
if (rand.nextBoolean()) {
eventsArray.add(generateDisplay());
}
// 商品详情页
if (rand.nextBoolean()) {
eventsArray.add(generateNewsDetail());
}
// 商品列表页
if (rand.nextBoolean()) {
eventsArray.add(generateNewList());
}
// 购物车
if (rand.nextBoolean()) {
eventsArray.add(generateCart());
}
// 广告
if (rand.nextBoolean()) {
eventsArray.add(generateAd());
}
// 消息通知
if (rand.nextBoolean()) {
eventsArray.add(generateNotification());
}
//故障日志
if (rand.nextBoolean()) {
eventsArray.add(generateError());
}
// 用户评论
if (rand.nextBoolean()) {
eventsArray.add(generateComment());
}
// 用户收藏
if (rand.nextBoolean()) {
eventsArray.add(generateFavorites());
}
// 用户点赞
if (rand.nextBoolean()) {
eventsArray.add(generatePraise());
}
json.put("et", eventsArray);
//时间
long millis2 = System.currentTimeMillis();
//控制台打印
logger.info(millis2 + "|" + json.toJSONString());
// 延迟
try {
Thread.sleep(delay);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
/**
* 公共字段设置
*/
private static JSONObject generateComFields() {
AppBase appBase = new AppBase();
//设备id
appBase.setMid(s_mid + "");
s_mid++;
// 用户id
appBase.setUid(s_uid + "");
s_uid++;
// 程序版本号 5,6等
appBase.setVc("" + rand.nextInt(20));
//程序版本名 v1.1.1
appBase.setVn("1." + rand.nextInt(4) + "." + rand.nextInt(10));
// 安卓系统版本
appBase.setOs("8." + rand.nextInt(3) + "." + rand.nextInt(10));
// 语言 es,en,pt
int flag = rand.nextInt(3);
switch (flag) {
case (0):
appBase.setL("es");
break;
case (1):
appBase.setL("en");
break;
case (2):
appBase.setL("pt");
break;
}
// 渠道号 从哪个渠道来的
appBase.setSr(getRandomChar(1));
// 区域
flag = rand.nextInt(2);
switch (flag) {
case 0:
appBase.setAr("BR");
case 1:
appBase.setAr("MX");
}
// 手机品牌 ba ,手机型号 md，就取2位数字了
flag = rand.nextInt(3);
switch (flag) {
case 0:
appBase.setBa("Sumsung");
appBase.setMd("sumsung-" + rand.nextInt(20));
break;
case 1:
appBase.setBa("Huawei");
appBase.setMd("Huawei-" + rand.nextInt(20));
break;
case 2:
appBase.setBa("HTC");
appBase.setMd("HTC-" + rand.nextInt(20));
break;
}
// 嵌入sdk的版本
appBase.setSv("V2." + rand.nextInt(10) + "." + rand.nextInt(10));
// gmail
appBase.setG(getRandomCharAndNumr(8) + "@gmail.com");
// 屏幕宽高 hw
flag = rand.nextInt(4);
switch (flag) {
case 0:
appBase.setHw("640*960");
break;
case 1:
appBase.setHw("640*1136");
break;
case 2:
appBase.setHw("750*1134");
break;
case 3:
appBase.setHw("1080*1920");
break;
}
// 客户端产生日志时间
long millis = System.currentTimeMillis();
appBase.setT("" + (millis - rand.nextInt(99999999)));
// 手机网络模式 3G,4G,WIFI
flag = rand.nextInt(3);
switch (flag) {
case 0:
appBase.setNw("3G");
break;
case 1:
appBase.setNw("4G");
break;
case 2:
appBase.setNw("WIFI");
break;
}
// 拉丁美洲 西经34°46′至西经117°09；北纬32°42′至南纬53°54′
// 经度
appBase.setLn((-34 - rand.nextInt(83) - rand.nextInt(60) / 10.0) + "");
// 纬度
appBase.setLa((32 - rand.nextInt(85) - rand.nextInt(60) / 10.0) + "");
return (JSONObject) JSON.toJSON(appBase);
}
/**
* 商品展示事件
*/
private static JSONObject generateDisplay() {
AppDisplay appDisplay = new AppDisplay();
boolean boolFlag = rand.nextInt(10) < 7;
// 动作：曝光商品=1，点击商品=2，
if (boolFlag) {
appDisplay.setAction("1");
} else {
appDisplay.setAction("2");
}
// 商品id
String goodsId = s_goodsid + "";
s_goodsid++;
appDisplay.setGoodsid(goodsId);
// 顺序 设置成6条吧
int flag = rand.nextInt(6);
appDisplay.setPlace("" + flag);
// 曝光类型
flag = 1 + rand.nextInt(2);
appDisplay.setExtend1("" + flag);
// 分类
flag = 1 + rand.nextInt(100);
appDisplay.setCategory("" + flag);
JSONObject jsonObject = (JSONObject) JSON.toJSON(appDisplay);
return packEventJson("display", jsonObject);
}
/**
* 商品详情页
*/
private static JSONObject generateNewsDetail() {
AppNewsDetail appNewsDetail = new AppNewsDetail();
// 页面入口来源
int flag = 1 + rand.nextInt(3);
appNewsDetail.setEntry(flag + "");
// 动作
appNewsDetail.setAction("" + (rand.nextInt(4) + 1));
// 商品id
appNewsDetail.setGoodsid(s_goodsid + "");
// 商品来源类型
flag = 1 + rand.nextInt(3);
appNewsDetail.setShowtype(flag + "");
// 商品样式
flag = rand.nextInt(6);
appNewsDetail.setShowtype("" + flag);
// 页面停留时长
flag = rand.nextInt(10) * rand.nextInt(7);
appNewsDetail.setNews_staytime(flag + "");
// 加载时长
flag = rand.nextInt(10) * rand.nextInt(7);
appNewsDetail.setLoading_time(flag + "");
// 加载失败码
flag = rand.nextInt(10);
switch (flag) {
case 1:
appNewsDetail.setType1("102");
break;
case 2:
appNewsDetail.setType1("201");
break;
case 3:
appNewsDetail.setType1("325");
break;
case 4:
appNewsDetail.setType1("433");
break;
case 5:
appNewsDetail.setType1("542");
break;
default:
appNewsDetail.setType1("");
break;
}
// 分类
flag = 1 + rand.nextInt(100);
appNewsDetail.setCategory("" + flag);
JSONObject eventJson = (JSONObject) JSON.toJSON(appNewsDetail);
return packEventJson("newsdetail", eventJson);
}
/**
* 商品列表
*/
private static JSONObject generateNewList() {
AppLoading appLoading = new AppLoading();
// 动作
int flag = rand.nextInt(3) + 1;
appLoading.setAction(flag + "");
// 加载时长
flag = rand.nextInt(10) * rand.nextInt(7);
appLoading.setLoading_time(flag + "");
// 失败码
flag = rand.nextInt(10);
switch (flag) {
case 1:
appLoading.setType1("102");
break;
case 2:
appLoading.setType1("201");
break;
case 3:
appLoading.setType1("325");
break;
case 4:
appLoading.setType1("433");
break;
case 5:
appLoading.setType1("542");
break;
default:
appLoading.setType1("");
break;
}
// 页面 加载类型
flag = 1 + rand.nextInt(2);
appLoading.setLoading_way("" + flag);
// 扩展字段1
appLoading.setExtend1("");
// 扩展字段2
appLoading.setExtend2("");
// 用户加载类型
flag = 1 + rand.nextInt(3);
appLoading.setType("" + flag);
JSONObject jsonObject = (JSONObject) JSON.toJSON(appLoading);
return packEventJson("loading", jsonObject);
}
/**
* 购物车
*/
static public JSONObject generateCart() {
AppCart appItemCart = new AppCart();
appItemCart.setItemid(s_mid);
appItemCart.setBeforeNum(1 + rand.nextInt(3));
appItemCart.setAction(1 + rand.nextInt(2));
if (appItemCart.getAction() == 2) {
int changNum = (-1) + rand.nextInt(3);
changNum = (changNum == 0 ? 1 : changNum);
appItemCart.setChangeNum(changNum);
appItemCart.setAfterNum(appItemCart.getBeforeNum() + appItemCart.getChangeNum());
}
JSONObject jsonObject = (JSONObject) JSON.toJSON(appItemCart);
return packEventJson("favorites", jsonObject);
}
/**
* 广告相关字段
*/
private static JSONObject generateAd() {
AppAd appAd = new AppAd();
// 入口
int flag = rand.nextInt(3) + 1;
appAd.setEntry(flag + "");
// 动作
flag = rand.nextInt(5) + 1;
appAd.setAction(flag + "");
// 状态
flag = rand.nextInt(10) > 6 ? 2 : 1;
appAd.setContent(flag + "");
// 失败码
flag = rand.nextInt(10);
switch (flag) {
case 1:
appAd.setDetail("102");
break;
case 2:
appAd.setDetail("201");
break;
case 3:
appAd.setDetail("325");
break;
case 4:
appAd.setDetail("433");
break;
case 5:
appAd.setDetail("542");
break;
default:
appAd.setDetail("");
break;
}
// 广告来源
flag = rand.nextInt(4) + 1;
appAd.setSource(flag + "");
// 用户行为
flag = rand.nextInt(2) + 1;
appAd.setBehavior(flag + "");
// 商品类型
flag = rand.nextInt(10);
appAd.setNewstype("" + flag);
// 展示样式
flag = rand.nextInt(6);
appAd.setShow_style("" + flag);
JSONObject jsonObject = (JSONObject) JSON.toJSON(appAd);
return packEventJson("ad", jsonObject);
}
/**
* 启动日志
*/
static JSONObject generateStart() {
AppStart appStart = new AppStart();
// 入口
int flag = rand.nextInt(5) + 1;
appStart.setEntry(flag + "");
// 开屏广告类型
flag = rand.nextInt(2) + 1;
appStart.setOpen_ad_type(flag + "");
// 状态
flag = rand.nextInt(10) > 8 ? 2 : 1;
appStart.setAction(flag + "");
// 加载时长
appStart.setLoading_time(rand.nextInt(20) + "");
// 失败码
flag = rand.nextInt(10);
switch (flag) {
case 1:
appStart.setDetail("102");
break;
case 2:
appStart.setDetail("201");
break;
case 3:
appStart.setDetail("325");
break;
case 4:
appStart.setDetail("433");
break;
case 5:
appStart.setDetail("542");
break;
default:
appStart.setDetail("");
break;
}
JSONObject jsonObject = (JSONObject) JSON.toJSON(appStart);
return packEventJson("start", jsonObject);
}
/**
* 消息通知
*/
private static JSONObject generateNotification() {
AppNotification appNotification = new AppNotification();
int flag = rand.nextInt(4) + 1;
// 动作
appNotification.setAction(flag + "");
// 通知id
flag = rand.nextInt(4) + 1;
appNotification.setType(flag + "");
// 客户端弹时间
appNotification.setAp_time((System.currentTimeMillis() - rand.nextInt(99999999)) + "");
// 备用字段
appNotification.setContent("");
JSONObject jsonObject = (JSONObject) JSON.toJSON(appNotification);
return packEventJson("notification", jsonObject);
}
/**
* 错误日志数据
*/
private static JSONObject generateError() {
AppError appErrorLog = new AppError();
String[] errorBriefs = {"at cn.lift.dfdf.web.AbstractBaseController.validInbound(AbstractBaseController.java:72)", "at cn.lift.appIn.control.CommandUtil.getInfo(CommandUtil.java:67)"}; //错误摘要
String[] errorDetails = {"java.lang.NullPointerException\\n " + "at cn.lift.appIn.web.AbstractBaseController.validInbound(AbstractBaseController.java:72)\\n " + "at cn.lift.dfdf.web.AbstractBaseController.validInbound", "at cn.lift.dfdfdf.control.CommandUtil.getInfo(CommandUtil.java:67)\\n " + "at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\\n" + " at java.lang.reflect.Method.invoke(Method.java:606)\\n"}; //错误详情
//错误摘要
appErrorLog.setErrorBrief(errorBriefs[rand.nextInt(errorBriefs.length)]);
//错误详情
appErrorLog.setErrorDetail(errorDetails[rand.nextInt(errorDetails.length)]);
JSONObject jsonObject = (JSONObject) JSON.toJSON(appErrorLog);
return packEventJson("error", jsonObject);
}
/**
* 为各个事件类型的公共字段（时间、事件类型、Json数据）拼接
*/
private static JSONObject packEventJson(String eventName, JSONObject jsonObject) {
JSONObject eventJson = new JSONObject();
eventJson.put("ett", (System.currentTimeMillis() - rand.nextInt(99999999)) + "");
eventJson.put("en", eventName);
eventJson.put("kv", jsonObject);
return eventJson;
}
/**
* 获取随机字母组合
*
* @param length 字符串长度
*/
private static String getRandomChar(Integer length) {
StringBuilder str = new StringBuilder();
Random random = new Random();
for (int i = 0; i < length; i++) {
// 字符串
str.append((char) (65 + random.nextInt(26)));// 取得大写字母
}
return str.toString();
}
/**
* 获取随机字母数字组合
*
* @param length 字符串长度
*/
private static String getRandomCharAndNumr(Integer length) {
StringBuilder str = new StringBuilder();
Random random = new Random();
for (int i = 0; i < length; i++) {
boolean b = random.nextBoolean();
if (b) { // 字符串
// int choice = random.nextBoolean() ? 65 : 97; 取得65大写字母还是97小写字母
str.append((char) (65 + random.nextInt(26)));// 取得大写字母
} else { // 数字
str.append(String.valueOf(random.nextInt(10)));
}
}
return str.toString();
}
/**
* 收藏
*/
private static JSONObject generateFavorites() {
AppFavorites favorites = new AppFavorites();
favorites.setCourse_id(rand.nextInt(10));
favorites.setUserid(rand.nextInt(10));
favorites.setAdd_time((System.currentTimeMillis() - rand.nextInt(99999999)) + "");
JSONObject jsonObject = (JSONObject) JSON.toJSON(favorites);
return packEventJson("favorites", jsonObject);
}
/**
* 点赞
*/
private static JSONObject generatePraise() {
AppPraise praise = new AppPraise();
praise.setId(rand.nextInt(10));
praise.setUserid(rand.nextInt(10));
praise.setTarget_id(rand.nextInt(10));
praise.setType(rand.nextInt(4) + 1);
praise.setAdd_time((System.currentTimeMillis() - rand.nextInt(99999999)) + "");
JSONObject jsonObject = (JSONObject) JSON.toJSON(praise);
return packEventJson("praise", jsonObject);
}
/**
* 评论
*/
private static JSONObject generateComment() {
AppComment comment = new AppComment();
comment.setComment_id(rand.nextInt(10));
comment.setUserid(rand.nextInt(10));
comment.setP_comment_id(rand.nextInt(5));
comment.setContent(getCONTENT());
comment.setAddtime((System.currentTimeMillis() - rand.nextInt(99999999)) + "");
comment.setOther_id(rand.nextInt(10));
comment.setPraise_count(rand.nextInt(1000));
comment.setReply_count(rand.nextInt(200));
JSONObject jsonObject = (JSONObject) JSON.toJSON(comment);
return packEventJson("comment", jsonObject);
}
/**
* 生成单个汉字
*/
private static char getRandomChar() {
String str = "";
int hightPos; //
int lowPos;
Random random = new Random();
//随机生成汉子的两个字节
hightPos = (176 + Math.abs(random.nextInt(39)));
lowPos = (161 + Math.abs(random.nextInt(93)));
byte[] b = new byte[2];
b[0] = (Integer.valueOf(hightPos)).byteValue();
b[1] = (Integer.valueOf(lowPos)).byteValue();
try {
str = new String(b, "GBK");
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
System.out.println("错误");
}
return str.charAt(0);
}
/**
* 拼接成多个汉字
*/
private static String getCONTENT() {
StringBuilder str = new StringBuilder();
for (int i = 0; i < rand.nextInt(100); i++) {
str.append(getRandomChar());
}
return str.toString();
}
}
配置日志打印（Logback）
Logback主要用于在磁盘和控制台打印日志。Logback 具体使用如下：
- 在 resources 文件夹下创建 logback.xml 文件。
- 在 logback.xml 文件中填写如下配置
<?xml version="1.0" encoding="UTF-8"?>
<configuration debug="false">
<!--定义日志文件的存储地址 勿在 LogBack 的配置中使用相对路径 -->
<property name="LOG_HOME" value="/opt/module/logs/" />
<!-- 控制台输出 -->
<appender name="STDOUT"
class="ch.qos.logback.core.ConsoleAppender">
<encoder
class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
<!--格式化输出：%d表示日期，%thread表示线程名，%-5level：级别从左显示5个字符宽度%msg：日志消息，%n是换行符 -->
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{50} - %msg%n</pattern>
</encoder>
</appender>
<!-- 按照每天生成日志文件。存储事件日志 -->
<appender name="FILE"
class="ch.qos.logback.core.rolling.RollingFileAppender">
<!-- <File>${LOG_HOME}/app.log</File>设置日志不超过${log.max.size}时的保存路径，注意，如果是web项目会保存到Tomcat的bin目录 下 -->
<rollingPolicy
class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<!--日志文件输出的文件名 -->
<FileNamePattern>${LOG_HOME}/app-%d{yyyy-MM-dd}.log</FileNamePattern>
<!--日志文件保留天数 -->
<MaxHistory>30</MaxHistory>
</rollingPolicy>
<encoder
class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
<pattern>%msg%n</pattern>
</encoder>
<!--日志文件最大的大小 -->
<triggeringPolicy
class="ch.qos.logback.core.rolling.SizeBasedTriggeringPolicy">
<MaxFileSize>10MB</MaxFileSize>
</triggeringPolicy>
</appender>
<!--异步打印日志-->
<appender name ="ASYNC_FILE" class= "ch.qos.logback.classic.AsyncAppender">
<!-- 不丢失日志.默认的,如果队列的80%已满,则会丢弃TRACT、DEBUG、INFO级别的日志 -->
<discardingThreshold >0</discardingThreshold>
<!-- 更改默认的队列的深度,该值会影响性能.默认值为256 -->
<queueSize>512</queueSize>
<!-- 添加附加的appender,最多只能添加一个 -->
<appender-ref ref = "FILE"/>
</appender>
<!-- 日志输出级别 -->
<root level="INFO">
<appender-ref ref="STDOUT" />
<appender-ref ref="ASYNC_FILE" />
<appender-ref ref="error" />
</root>
</configuration>
打包上传至Flume服务器
通过Maven的package打成jar包，上传jar包（aliyun_datawarehouse-1.0-SNAPSHOT-jar-with-dependencies.jar），待后续生成日志
Flume部署与日志推送
选择最初搭建Hadoop集群的主节点hadoop100作为部署Flume的宿主机，当然不需要启动三个节点，也不需要启动集群。
这台机器已经在当初搭建集群时配置好如下内容：
- hostname
- host映射
- cm用户
- xsync分发脚本
- SSH免密登录
- JDK1.8
接下来直接部署Flume就好，其他都不用配了
Flume 简介
Flume 是 Cloudera 提供的一个高可用的，高可靠的，分布式的海量日志采集、聚合和传输的系统。Flume 基于流式架构，灵活简单。
11. Source
主要负责采集工作，采用TailDir 组件用于监控文件或文件夹的变化。
2. Channel
扮演数据管道的角色，对数据进行缓冲。采用非持久化的 Memory 类型。
3. Sink
把 Channel 中的数据输出到外部环境中，支持多种数据接口（HDFS、Kafka 等），此次案例中我们的最终目标是数据到阿里云的数据总线中（DataHub），调试阶段可以先输出到控制台中。
安装Flume
从官网下载Flume。这里我下载的是1.7.0版本，将 apache-flume-1.7.0-bin.tar.gz 上传到 hadoop100 的/opt/software 目录下
tar -zxf apache-flume-1.7.0-bin.tar.gz -C /opt/module/
cd /opt/module/
mv apache-flume-1.7.0-bin flume-1.7.0
cd /opt/module/flume-1.7.0/conf
mv flume-env.sh.template flume-env.sh
vim flume-env.sh
# 修改如下
export JAVA_HOME=/opt/module/jdk1.8.0_212
配置环境变量
vim /etc/profile
# 添加如下
#FLUME_HOME
export FLUME_HOME=/opt/module/flume-1.7.0
export PATH=$PATH:$FLUME_HOME/bin
source /etc/profile
Flume配置
在/opt/module/flume-1.7.0/conf 中添加文件 file-flume-log.conf，该文件是一个 Flume 作业的核心文件，咱们上述的 Source、Channel、Sink 都是通过这个配置文件来实现的。
本地模式测试
file-flume-log.conf
vim /opt/module/flume-1.7.0/conf/file-flume-log.conf 内容如下：
# a1是组件名，要记住这个名字
# 定义组件各个部分的名称
a1.sources = r1
a1.sinks = k1
a1.channels = c1
###source 部分
a1.sources.r1.type = TAILDIR
#记录偏移量实现断点续传
a1.sources.r1.positionFile=/opt/module/flume-1.7.0/test/taildir_position.json
a1.sources.r1.channels = c1
a1.sources.r1.filegroups=f1
a1.sources.r1.filegroups.f1=/opt/module/logs/app.+
a1.sources.r1.fileHeader = true
###channel 部分
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 1000
###sink 部分 先输出到控制台中
a1.sinks.k1.type = logger
# 把 source 和 sink 绑定到 channel 中
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1
启动Flume进程
flume-ng agent -n a1 --conf $FLUME_HOME/conf --conf-file /opt/module/flume-1.7.0/conf/file-flume-log.conf -Dflume.root.logger=info,console
| 参数选项 | 含义 |
|---|---|
| flume-ng agent | 启动 Flume 程序 |
| -n | 任务名称，必须和配置文件中的前缀一致。 |
| -c | Flume 基本配置文件位置 |
| -f | Flume 任务配置文件位置 |
| -Dflume.root.logger=info,console | 打印控制台 |
日志生成
运行上述日志脚本jar
java -jar aliyun_datawarehouse-1.0-SNAPSHOT-jar-with-dependencies.jar > /dev/null 2>&1 &
然后进入到 /opt/module/logs 目录，观察日志是否写入成功
ll /opt/module/logs
验证Flume，观察 Flume 控制台是否滚动打印日志
DataHub数据同步
DataHub 简介
Flume 部分已经可以输出后，咱们开始搭建真正需要输出的目的地DataHub，即阿里云数据总线服务。
通俗来说这个 DataHub 类似于传统大数据解决方案中 Kafka 的角色，提供了一个数据队列功能。
对于离线计算，DataHub 除了供了一个缓冲的队列作用。
同时由于 DataHub 提供了各种与其他阿里云上下游产品的对接功能，所以 DataHub 又扮演了一个数据的分发枢纽工作。
DataHub 输入组件包括：
- Flume：主流的开源日志采集框架
- DTS：类似Canal，日志实时监控采集框架
- Logstash：也是日志采集框架，通常和 Elasticsearch、Kibana 集合使用
- Fluentd：Fluentd 是一个实时开源的数据收集器
- OGG：实时监控 Oracle 中数据变化
- Java sdk：支持JavaAPI 方式访问
DataHub 输出组件包括：
- RDS：类似与传统 MySQL 数据库
- AnalyticDB：面向分析型的分布式数据库
- MaxCompute：离线分析框架
- Elasticsearch：数据分析，倒排索引
- StreamCompute：实时分析框架
- TableSotre：类似于Redis，KV 形式存储数据
- OSS：类似于 HDFS，存储图片、视频
创建DataHub
新建项目
新建主题
| 选择参数 | 含义 |
|---|---|
| Topic 类型 | Tuple 为结构化数据，Blob 是二进制数据。 |
| Schema | Tuple 类型的字段名 |
| Shard 数量 | 决定了队列吞吐量，每个 Shard 支持 1MB/s 的写入能力 |
| 生命周期 | 数据在队列中的最长存活时间 |
获取 AccessID 和 AccessKey
DataHub 服务并不是靠 IP 来定位的，而是靠阿里云账号，每个阿里云账号只能有一个 DataHub，每个阿里云账号也会有唯一的 AccessID 和 AccessKey。所以通过 AccessId 和 AccessKey 就可以直接锁定某个阿里云账号的 DataHub。
悬浮鼠标到阿里云账号头像上->点击 accesskeys
记住AccessID和AccessKey，后面要用到
Flume-DataHub 插件安装
Flume 默认是不支持 DataHub 的，所以要给 Flume 安装 DataHub 的 Sink 插件
# 首先在 Flume 安装目录建立插件文件夹
cd /opt/module/flume-1.7.0
mkdir plugins.d
从官网下载插件，利 用 SecureCRT 工 具 把 aliyun-flume-datahub-sink-2.0.2.tar.gz拷 贝 到
/opt/module/flume-1.7.0/plugins.d 目录下，并原地解压缩
cd /opt/module/flume-1.7.0/plugins.d
tar -zxvf aliyun-flume-datahub- sink-2.0.2.tar.gz
Flume配置文件
vim /opt/module/flume-1.7.0/conf/file-flume-datahub.conf 内容如下：
# 定义组件名称
a1.sources = r1
a1.sinks = k1
a1.channels = c1
### source 部分
a1.sources.r1.type = TAILDIR
a1.sources.r1.positionFile = /opt/module/flume-1.7.0/test/taildir_position.json
a1.sources.r1.channels = c1
a1.sources.r1.filegroups = f1
a1.sources.r1.filegroups.f1 = /opt/module/logs/app.+
a1.sources.r1.fileHeader = true
### channel 部分
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 1000
### sink 部分
a1.sinks.k1.type = com.aliyun.datahub.flume.sink.DatahubSink
a1.sinks.k1.datahub.accessID = <accessID>
a1.sinks.k1.datahub.accessKey = <accessKey>
a1.sinks.k1.datahub.endPoint = https://dh-cn-hangzhou.aliyuncs.com
a1.sinks.k1.datahub.project = cm_study_datahub
a1.sinks.k1.datahub.topic = cm_study_datahub_topic
a1.sinks.k1.batchSize = 100
a1.sinks.k1.serializer = DELIMITED
a1.sinks.k1.serializer.delimiter = "\\u007C"
a1.sinks.k1.serializer.fieldnames = event_time,log_string
a1.sinks.k1.serializer.charset = UTF-8
a1.sinks.k1.shard.number = 1
a1.sinks.k1.shard.maxTimeOut = 60
| 选择参数 | 含义 |
|---|---|
| type | 必须是：com.aliyun.datahub.flume.sink.DatahubSink |
| datahub.accessID | accessID |
| datahub.accessKey | accessKey |
| datahub.endPoint | 不同的地区有不同的接入点，参考https://help.aliyun.com/document_detail/47442.html |
| project | datahub 中创建的 project 名 |
| topic | datahub 中 project 下的 topic |
| batchSize | 每批次都少条记录 |
| serializer | 序列化方式，DELIMITED 表示按分隔符切分 |
| serializer.delimiter | 具体分隔符是什么，这里“\u007C” 表示| 。Unicode 转中文工具地址：http://www.msxindl.com/tools/unicode16.asp |
| serializer.fieldnames | 切分后对应的字段名 |
| serializer.charset | 字符集 |
| shard.number | 分片数 |
| shard.maxTimeOut | 超时时间，单位是秒 |
日志数据同步
启动 Flume 进程
flume-ng agent -n a1 --conf $FLUME_HOME/conf --conf-file /opt/module/flume-1.7.0/conf/file-flume-datahub.conf -Dflume.root.logger=info,console
启动日志
同上述本地Flume测试的日志启动，到控制台就可以看到日志同步过去了
数仓分层
概念
ODS 层： 原始数据层，存放原始数据，直接加载原始日志、数据，数据保持原貌不做处理。
DWD 层： 对 ODS 层数据进行清洗（去除空值，脏数据，超过极限范围的数据）
DWS 层： 以 DWD 为基础，进行轻度汇总。
ADS 层： 为各种统计报表提供数据
优点
- 把复杂问题简单化
将一个复杂的任务分解成多个步骤来完成，每一层只处理单一的步骤，比较简单、并且方便定位问题。 - 减少重复开发
规范数据分层，通过的中间层数据，能够减少极大的重复计算，增加一次计算结果的复用性。 - 隔离原始数据
不论是数据的异常还是数据的敏感性，使真实数据与统计数据解耦开。
命名规范
- ODS层命名为ods前缀
- DWD层命名为dwd前缀
- DWS层命名为dws前缀
- ADS层命名为ads前缀
- 维度表命名为dim前缀
- 每日全量导入命名为df（day full）后缀
- 每日增量导入命名为di（day increase）后缀
DataWorks基本设置
DataWorks 和 MaxCompute简介
MaxCompute（大数据计算服务）是阿里巴巴自主研发的海量数据处理平台，主要提供数据上传和下载通道，提供 SQL 及 MapReduce 等多种计算分析服务，同时还提供完善的安全解决方案。
DataWorks（数据工场，原大数据开发套件）是基于 MaxCompute 计算引擎的一站式大数据工场，它能帮助您快速完成数据集成、开发、治理、服务、质量、安全等全套数据研发工作。
- 盘古：相当于Hadoop 中的 HDFS
- 伏羲：相当于Hadoop 中的 YARN
- MaxCompute Engine：相当于 MR、Tez 等计算引擎
MaxCompute 和 DataWorks 一起向用户提供完善的 ETL 和数仓管理能力，以及 SQL、 MR、Graph 等多种经典的分布式计算模型，能够更快速地解决用户海量数据计算问题，有效降低企业成本，保障数据安全。
创建DataWorks的工作空间
进入到DataWorks控制台入口
购买DataWorks
创建工作空间
绑定计算引擎（MaxCompute）
如果没有购买 MaxCompute，可以点击按量付费（按SQL执行数量付费）
数仓分层配置
根据前述的数仓分层概念，正式进入工作空间，建立起分成的数仓
建立业务流程
配置表主题
点击最下方的齿轮，进入配置中心
主题一般是表的对应的业务主题，比如：基础表、用户、商品、广告等对应的业务线。
配置表层级
在同一页面中，DataWorks 还提供了一个物理分类的划分维度，用户可以根据情况自行决定划分方式。
本案例中，对数据表按照数据来源划分为，日志、数据库和综合。
原始数据层（ODS 层）
创建一个日志数据表，对应之前Flume推送的日志数据
配置表的基本属性
从 DataHub 过来的数据必须选择分区表。如果手工文件导入的表可以选择非分区。 为了减少再购买存储服务器，所以选择内部表。真实企业开发时，大部分情况都是创建外部表，需要在 OSS 服务中申请存储空间。
发送过来的日志包含两部分：服务器时间和日志详情。这里面设计了两个字段对应接收。
注意： 这里的主键，是指一个标志而已，本身不提供索引和唯一性约束。且由于目前 DataHub 至 MaxCompute 的接口，只支持按年月日+小时+分钟方式分区，所以这三个分区字段是必须有的，且字段类型必须是 String。
点击提交到生产环境，表就创建完成了。
基本操作
查看表结构
在最左侧菜单中选择【表管理】，可以在右侧查看表的结构信息。但是不可以修改
建表关联到业务
上述建立的表可以放到业务1中
临时查询
点击临时查询->新建->ODPS SQL
可以临时对表进行操作，当然既然叫临时查询，真正的业务肯定不是在临时查询这边写sql，而是后续会说到的流程蓝图方式（类似MapReduce流水线一样）
DataHub 推送数据到 MaxCompute
如下图，之前 Flume 中的数据利用DataHub Sink 把数据写入到了DataHub 中，DataHub 中提供了很多的其他第三方的DataConnector 可以连接各种例如：MaxCompute，ElasticSearch， ADB，RDS 等数据库。所以下面就要建立DataConnector 把数据推送到 MaxCompute 中。
创建 DataConnector
在DataHub 中找到Topic，点击右上角的同步，点击MaxCompute
创建DataConnector
- MaxCompute Project：名称要和 MaxCompute 创建的工作空间名称一致
- MaxCompute Table：数据导入到 MaxCompute 中的表名
- AccessKey ID：看自己帐号生成的
- AccessKey Secret：看自己帐号生成的
- 分区选项：system、event_time通常采用 system 时间分区。如果是 event_time 方式分区，就要在 topic 中包含一个 event_time 的字段。不过这个字段与以往的timestamp 不同的是，必须精确到微秒级。而且这个字段一旦用于分区，则不会再写入到实体表中。
- 分区范围：15 分钟起
发送数据
建立好表后 DataConnector 就可以尝试发送数据了。 注意：如果已经启动了 Flume，就不需要再次启动了。
启动 Flume 程序
flume-ng agent -n a1 --conf $FLUME_HOME/conf --conf-file /opt/module/flume-1.7.0/conf/file-flume-datahub.conf -Dflume.root.logger=info,console
在服务器hadoop100 上执行日志生成命令，Flume就会向DataHub推送日志数据。DataConnector会检测到DataHub新接收的数据，向MaxCompute的表进行同步
创建一个临时查询就可以看到数据已经进入到表中了（1-5 分钟的延迟）
明细数据层（DWD 层）
DWD 层主要是对ODS 层数据进行清洗（去除空值，脏数据，超过极限范围的数据）。DWD 层处理后的表，能够成为非常明确可用的基础明细数据。
本次项目中需要将用户行为过来基础日志，根据表类型，一张一张的解析出来 11 张不同类型的表数据，方便后续的处理。
日志格式分析
日志格式： 服务器时间 | json
其中 json 包括：
- cm：公共字段的 key
- ap：app 的名称
- et：具体事件
自定义 UDTF（解析具体事件字段）
为了清洗obs层的日志数据，需要自定义一些sql函数
开发UDTF 有两个方法：
方法 1： 在本地 IDEA 中创建工程，开发代码，打包，把 JAR 上传到DataStudio 成为资源JAR 包。然后基于资源 JAR 包，声明函数。
方法 2： 直接在 FunctionStudio 中开发，然后在线打包发布程序，声明函数。
相比而言，从发布流程上来说利用 FunctionStudio 更快捷方便。但是从IDEA 开发角度来说，网页版本的 FunctionStudio，肯定不如客户端的功能强大、反应速度流畅。不过也可以两者配合起来使用。
本次案例主要介绍通过 FunctionStudio 来编写 UDTF 函数。
- 按下图所示，打开 FunctionStudio 的界面
- 创建工程
- 添加pom依赖
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.28.odps</version>
</dependency>
- UDTF代码实现
package com.alibaba.dataworks.udtf;
import com.aliyun.odps.udf.ExecutionContext;
import com.aliyun.odps.udf.UDFException;
import com.aliyun.odps.udf.UDTF;
import com.aliyun.odps.udf.annotation.Resolve;
import com.alibaba.fastjson.*;
// TODO define input and output types, e.g. "string,string->string,bigint".
@Resolve({"string->bigint,string,string"})
public class FlatEventUDTF extends UDTF {
@Override
public void setup(ExecutionContext ctx) throws UDFException {
}
@Override
public void process(Object[] args) throws UDFException {
String event =(String) args[0];
JSONArray jsonArray = JSON.parseArray(event);
for (int i = 0; i < jsonArray.size(); i++) {
JSONObject jsonObject = jsonArray.getJSONObject(i);
String ett =(String) jsonObject.getString("ett");
String eventName =(String) jsonObject.getString("en");
String eventJson =(String) jsonObject.getString("kv");
forward(Long.parseLong(ett),eventName,eventJson);
}
}
@Override
public void close() throws UDFException {
}
}
其中，@Resolve({“string->bigint,string,string”} 表示该函数，传入参数是 string，返回参数是三个，分别为长整型，和两个字符串，对应的返回值就是事件的时间、事件名称和事件内容（json 格式）。
5. 打包部署
提交成功后 ，回到 DataWorks 中的资源菜单中可以看到增加了 1 个JAR 包，函数菜单中可以看到定义的函数
SELECT FlatEventUDTF(GET_JSON_OBJECT(log_string,'$.et')) AS (event_time,event_name,event_json)
FROM ods_base_log
WHERE ds = '20230215'
;
DWD 层建表（启动日志表）
在流程中建立表，在 DWD 文件夹中增加一个 dwd_start_log 的表，可以直接用 ddl 模式建立，再进行微调。微调字段见图中标识
CREATE TABLE IF NOT EXISTS dwd_start_log
(
mid STRING,
user_id STRING,
version_code STRING,
version_name STRING,
lang STRING,
source STRING,
os STRING,
area STRING,
model STRING,
brand STRING,
sdk_version STRING,
email STRING,
height_width STRING,
network STRING,
lng STRING,
lat STRING,
entry STRING,
open_ad_type STRING,
action STRING,
loading_time STRING,
detail STRING,
event_time STRING COMMENT '事件时间'
)
PARTITIONED BY
(
ds STRING,
hh STRING,
mm STRING
);
最后记得提交到生产环境
手动将ODS 层数据导入 DWD 层
在临时查询页面，把ods 层 ods_base_log 里面的数据导入到 dwd_start_log
INSERT OVERWRITE TABLE dwd_start_log PARTITION (ds,hh,mm)
SELECT GET_JSON_OBJECT(log_string,'$.cm.mid') mid
,GET_JSON_OBJECT(log_string,'$.cm.uid') user_id
,GET_JSON_OBJECT(log_string,'$.cm.vc') version_code
,GET_JSON_OBJECT(log_string,'$.cm.vn') version_name
,GET_JSON_OBJECT(log_string,'$.cm.l') lang
,GET_JSON_OBJECT(log_string,'$.cm.sr') source
,GET_JSON_OBJECT(log_string,'$.cm.os') os
,GET_JSON_OBJECT(log_string,'$.cm.ar') area
,GET_JSON_OBJECT(log_string,'$.cm.md') model
,GET_JSON_OBJECT(log_string,'$.cm.ba') brand
,GET_JSON_OBJECT(log_string,'$.cm.sv') sdk_version
,GET_JSON_OBJECT(log_string,'$.cm.g') email
,GET_JSON_OBJECT(log_string,'$.cm.hw') height_width
,GET_JSON_OBJECT(log_string,'$.cm.nw') network
,GET_JSON_OBJECT(log_string,'$.cm.ln') lng
,GET_JSON_OBJECT(log_string,'$.cm.la') lat
,GET_JSON_OBJECT(event_view.event_json,'$.entry')
,GET_JSON_OBJECT(event_view.event_json,'$.open_ad_type') open_ad_type
,GET_JSON_OBJECT(event_view.event_json,'$.action') action
,GET_JSON_OBJECT(event_view.event_json,'$.loading_time') loading_time
,GET_JSON_OBJECT(event_view.event_json,'$.detail') detail
,event_view.event_time
,ds
,hh
,mm
FROM ods_base_log
LATERAL VIEW FlatEventUDTF(GET_JSON_OBJECT(log_string,'$.et')) event_view AS event_time,event_name,event_json
WHERE ds = '20230215'
AND event_view.event_name = 'start'
;
查看导入结果
SELECT * from dwd_start_log WHERE ds=''20230215'';
数据导入脚本
虽然上述临时查询中，我们可以通过insert插入数据，当业务开发中更多是在数据开发中建立数据开发脚本，这样后续可以使用流程蓝图。
其中，脚本的sql和上述临时查询的insert语句是一样的
INSERT OVERWRITE TABLE dwd_start_log PARTITION (ds,hh,mm)
SELECT GET_JSON_OBJECT(log_string,'$.cm.mid') mid
,GET_JSON_OBJECT(log_string,'$.cm.uid') user_id
,GET_JSON_OBJECT(log_string,'$.cm.vc') version_code
,GET_JSON_OBJECT(log_string,'$.cm.vn') version_name
,GET_JSON_OBJECT(log_string,'$.cm.l') lang
,GET_JSON_OBJECT(log_string,'$.cm.sr') source
,GET_JSON_OBJECT(log_string,'$.cm.os') os
,GET_JSON_OBJECT(log_string,'$.cm.ar') area
,GET_JSON_OBJECT(log_string,'$.cm.md') model
,GET_JSON_OBJECT(log_string,'$.cm.ba') brand
,GET_JSON_OBJECT(log_string,'$.cm.sv') sdk_version
,GET_JSON_OBJECT(log_string,'$.cm.g') email
,GET_JSON_OBJECT(log_string,'$.cm.hw') height_width
,GET_JSON_OBJECT(log_string,'$.cm.nw') network
,GET_JSON_OBJECT(log_string,'$.cm.ln') lng
,GET_JSON_OBJECT(log_string,'$.cm.la') lat
,GET_JSON_OBJECT(event_view.event_json,'$.entry')
,GET_JSON_OBJECT(event_view.event_json,'$.open_ad_type') open_ad_type
,GET_JSON_OBJECT(event_view.event_json,'$.action') action
,GET_JSON_OBJECT(event_view.event_json,'$.loading_time') loading_time
,GET_JSON_OBJECT(event_view.event_json,'$.detail') detail
,event_view.event_time
,ds
,hh
,mm
FROM ods_base_log
LATERAL VIEW FlatEventUDTF(GET_JSON_OBJECT(log_string,'$.et')) event_view AS event_time,event_name,event_json
WHERE ds = '${bizdate}'
AND event_view.event_name = 'start'
;
服务数据层（DWS 层）
创建表
使用DDL模式建表
CREATE TABLE dws_uv_detail_d (
`mid` string COMMENT '设备唯一标识',
`user_id` string COMMENT '用户标识',
`version_code` string COMMENT '程序版本号',
`version_name` string COMMENT '程序版本名',
`lang` string COMMENT '系统语言',
`source` string COMMENT '渠道号',
`os` string COMMENT '系统版本',
`area` string COMMENT '区域',
`model` string COMMENT '手机型号',
`brand` string COMMENT '手机品牌',
`sdk_version` string COMMENT 'sdkversion',
`email` string COMMENT 'email',
`height_width` string COMMENT '屏幕宽高',
`network` string COMMENT '网络模式',
`lng` string COMMENT '经度',
`lat` string COMMENT '纬度',
`event_time` string
)
COMMENT '活跃用户按天明细'
PARTITIONED BY (ds string,hh string,mm string);
微调表设置
最后记得提交到生产环境
手动将 DWD 层数据导入 DWS 层
在临时查询页面，把DWD 层 dwd_start_log 里面的数据导入到 dws_uv_detail_d
INSERT OVERWRITE TABLE dws_uv_detail_d PARTITION (ds,hh,mm)
SELECT mid
,user_id
,version_code
,version_name
,lang
,source
,os
,area
,model
,brand
,sdk_version
,email
,height_width
,network
,lng
,lat
,event_time
,ds
,hh
,mm
FROM (
SELECT mid
,user_id
,version_code
,version_name
,lang
,source
,os
,area
,model
,brand
,sdk_version
,email
,height_width
,network
,lng
,lat
,entry
,open_ad_type
,action
,loading_time
,detail
,event_time
,ds
,hh
,mm
,ROW_NUMBER() OVER (PARTITION BY mid ORDER BY event_time ASC ) rn
FROM dwd_start_log
WHERE ds = '20230215'
) st
WHERE rn = 1
;
查看导入结果
SELECT *
FROM dws_uv_detail_d
WHERE ds = '20230215'
;
数据导入脚本
同上，为了组业务流程，新建数据开发脚本dws_uv_detail_d_sql
INSERT OVERWRITE TABLE dws_uv_detail_d PARTITION (ds,hh,mm)
SELECT mid
,user_id
,version_code
,version_name
,lang
,source
,os
,area
,model
,brand
,sdk_version
,email
,height_width
,network
,lng
,lat
,event_time
,ds
,hh
,mm
FROM (
SELECT mid
,user_id
,version_code
,version_name
,lang
,source
,os
,area
,model
,brand
,sdk_version
,email
,height_width
,network
,lng
,lat
,entry
,open_ad_type
,action
,loading_time
,detail
,event_time
,ds
,hh
,mm
,ROW_NUMBER() OVER (PARTITION BY mid ORDER BY event_time ASC ) rn
FROM dwd_start_log
WHERE ds = '20230215'
) st
WHERE rn = 1
;
应用数据层（ADS 层）
创建表
使用DDL模式再微调
CREATE TABLE IF NOT EXISTS ads_uv_source_d
(
source STRING COMMENT '渠道',
ct BIGINT COMMENT '个数'
)
COMMENT '日活渠道统计'
PARTITIONED BY
(
ds STRING
);
手动将 DWS 层数据导入 ADS 层
INSERT OVERWRITE TABLE ads_uv_source_d PARTITION (ds = '20230215')
SELECT source
,COUNT(*) ct
FROM dws_uv_detail_d
WHERE ds = '20230215'
GROUP BY source
;
数据导入脚本
同上，为了组业务流程，新建数据开发脚本ads_uv_source_d_sql
INSERT OVERWRITE TABLE ads_uv_source_d PARTITION (ds = '20230215')
SELECT source
,COUNT(*) ct
FROM dws_uv_detail_d
WHERE ds = '20230215'
GROUP BY source
;
需求案例
实现一个全流程业务调度，由于DWD、DWS、ADS层都有在数据开发建立数据开发脚本，业务1页面现在可以看到三个脚本对应的三个节点，咱们连箭头组成流程。右键最顶层节点 dwd_start_log_sql 选择 ”运行节点及下游“ ，可以把整个流程的sql按顺序运行一遍
业务数仓搭建
在之前的工作中，DataWork已经凭借DataHub的日志数据建立了基础的分层数仓，现在在此基础上进一步实现业务数仓的搭建
业务数据同步
业务数仓使用的数据不同于上述的日志数据，是新的一堆数据，所以首先是要在DataWorks上建立四分层对应的表，然后在Mysql上造数据，将Mysql的数据同步到DataWorks上。
表的分类
实体表
实体表，一般是指一个现实存在的业务对象，比如用户，商品，商家，销售员等等。
用户表：
| 用户 id | 姓名 | 生日 | 性别 | 邮箱 | 用户等级 | 创建时间 |
|---|---|---|---|---|---|---|
| 1 | 张三 | 2011-11-11 | 男 | zs@163.com | 2 | 2018-11-11 |
| 2 | 李四 | 2011-11-11 | 女 | ls@163.com | 3 | 2018-11-11 |
| 3 | 王五 | 2011-11-11 | 中性 | ww@163.com | 1 | 2018-11-11 |
维度表
维度表，一般是指对应一些业务状态，编号的解释表。也可以称之为码表。比如地区表，订单状态，支付方式，审批状态，商品分类等等。
订单状态表：
| 订单状态编号 | 订单状态名称 |
|---|---|
| 1 | 未支付 |
| 2 | 支付 |
| 3 | 发货中 |
| 4 | 已发货 |
| 5 | 已完成 |
商品分类表：
| 订单状态编号 | 订单状态名称 |
|---|---|
| 1 | 服装 |
| 2 | 保健 |
| 3 | 电器 |
| 4 | 图书 |
事务型事实表
事务型事实表，一般指随着业务发生不断产生的数据。特点是一旦发生不会再变化。一般比如，交易流水，操作日志，出库入库记录等等。
交易流水表：
| 编号 | 对外业务编号 | 订单编号 | 用户编号 | 支付宝交易流水编号 | 支付金额 | 交易内容 | 支付类型 | 支付时间 |
|---|---|---|---|---|---|---|---|---|
| 1 | 7577697945 | 1 | 111 | QEyF-63000323 | 223.00 | 面膜1 | alipay | 2019-02-10 00:50:02 |
| 2 | 0170099522 | 2 | 222 | qdwV-25111279 | 589.00 | 面膜2 | wechatpay | 2019-02-10 00:50:02 |
| 3 | 1840931679 | 3 | 666 | hSUS-65716585 | 485.00 | 面膜3 | unionpay | 2019-02-10 00:50:02 |
周期型事实表
周期型事实表，一般指随着业务发生不断产生的数据。
与事务型不同的是，数据会随着业务周期性的推进而变化。
比如订单，其中订单状态会周期性变化。再比如，请假、贷款申请，随着批复状态在周期性变化。
订单表：
| 订单编号 | 订单金额 | 订单状态 | 用户id | 支付方式 | 创建时间 | 操作时间 |
|---|---|---|---|---|---|---|
| 1 | 223.00 | 2 | 111 | alipay | 2019-02-10 00:01:29 | 2019-02-11 00:01:29 |
| 2 | 589.00 | 2 | 222 | wechatpay | 2019-02-10 00:05:02 | 2019-02-11 00:05:02 |
| 3 | 485.00 | 1 | 666 | unionpay | 2019-02-10 00:50:02 | 2019-02-10 00:50:02 |
表同步策略
数据同步策略的类型包括：全量表、增量表、新增及变化表
- 全量表：存储完整的数据。
- 增量表：存储新增加的数据。
- 新增及变化表：存储新增加的数据和变化的数据。
实体表同步策略
实体表：比如用户，商品，商家，销售员等
实体表数据量比较小：通常可以做每日全量，就是每天存一份完整数据。即每日全量。
维度表同步策略
维度表：比如订单状态，审批状态，商品分类
维度表数据量比较小：通常可以做每日全量，就是每天存一份完整数据。即每日全量。说明：
- 针对可能会有变化的状态数据可以存储每日全量。
- 没变化的客观世界的维度（比如性别，地区，民族，政治成分，鞋子尺码）可以只存一份固定值。
事务型事实表同步策略
事务型事实表：比如，交易流水，操作日志，出库入库记录等。
因为数据不会变化，而且数据量巨大，所以每天只同步新增数据即可，所以可以做成每日增量表，即每日创建一个分区存储。
周期型事实表同步策略
周期型事实表：比如，订单、请假、贷款申请等
这类表从数据量的角度，存每日全量的话，数据量太大，冗余也太大。如果用每日增量的话无法反应数据变化。
每日新增及变化量，包括了当日的新增和修改。
Mysql数据库Mock假数据
说完了DataWorks后续创建表的具体类似，现在要在Mysql服务器上Mock假数据，这些假数据后续要同步到DataWorks的表中。
我这边直接在云服务器上的Mysql建了个数据库cm_study_dataworks，因为云服务器有外网ip，DataWorks能连的上
Mysql具体见表和造数据的SQL如下
/*
SQLyog
MySQL - 5.7.25-log : Database - gmall2019
*********************************************************************
*/
/*!40101 SET NAMES utf8 */;
/*!40101 SET SQL_MODE=''*/;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
/*Table structure for table `base_category1` */
DROP TABLE IF EXISTS `base_category1`;
CREATE TABLE `base_category1` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '编号',
`name` varchar(10) NOT NULL COMMENT '分类名称',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=19 DEFAULT CHARSET=utf8 COMMENT='一级分类表';
/*Data for the table `base_category1` */
insert into `base_category1`(`id`,`name`) values
(1,'图书、音像、电子书刊'),
(2,'手机'),
(3,'家用电器'),
(4,'数码'),
(5,'家居家装'),
(6,'电脑办公'),
(7,'厨具'),
(8,'个护化妆'),
(9,'服饰内衣'),
(10,'钟表'),
(11,'鞋靴'),
(12,'母婴'),
(13,'礼品箱包'),
(14,'食品饮料、保健食品'),
(15,'珠宝'),
(16,'汽车用品'),
(17,'运动健康'),
(18,'玩具乐器');
/*Table structure for table `base_category2` */
DROP TABLE IF EXISTS `base_category2`;
CREATE TABLE `base_category2` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '编号',
`name` varchar(200) NOT NULL COMMENT '二级分类名称',
`category1_id` bigint(20) DEFAULT NULL COMMENT '一级分类编号',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=126 DEFAULT CHARSET=utf8 COMMENT='二级分类表';
/*Data for the table `base_category2` */
insert into `base_category2`(`id`,`name`,`category1_id`) values
(1,'电子书刊',1),
(2,'音像',1),
(3,'英文原版',1),
(4,'文艺',1),
(5,'少儿',1),
(6,'人文社科',1),
(7,'经管励志',1),
(8,'生活',1),
(9,'科技',1),
(10,'教育',1),
(11,'港台图书',1),
(12,'其他',1),
(13,'手机通讯',2),
(14,'运营商',2),
(15,'手机配件',2),
(16,'大 家 电',3),
(17,'厨卫大电',3),
(18,'厨房小电',3),
(19,'生活电器',3),
(20,'个护健康',3),
(21,'五金家装',3),
(22,'摄影摄像',4),
(23,'数码配件',4),
(24,'智能设备',4),
(25,'影音娱乐',4),
(26,'电子教育',4),
(27,'虚拟商品',4),
(28,'家纺',5),
(29,'灯具',5),
(30,'生活日用',5),
(31,'家装软饰',5),
(32,'宠物生活',5),
(33,'电脑整机',6),
(34,'电脑配件',6),
(35,'外设产品',6),
(36,'游戏设备',6),
(37,'网络产品',6),
(38,'办公设备',6),
(39,'文具/耗材',6),
(40,'服务产品',6),
(41,'烹饪锅具',7),
(42,'刀剪菜板',7),
(43,'厨房配件',7),
(44,'水具酒具',7),
(45,'餐具',7),
(46,'酒店用品',7),
(47,'茶具/咖啡具',7),
(48,'清洁用品',8),
(49,'面部护肤',8),
(50,'身体护理',8),
(51,'口腔护理',8),
(52,'女性护理',8),
(53,'洗发护发',8),
(54,'香水彩妆',8),
(55,'女装',9),
(56,'男装',9),
(57,'内衣',9),
(58,'洗衣服务',9),
(59,'服饰配件',9),
(60,'钟表',10),
(61,'流行男鞋',11),
(62,'时尚女鞋',11),
(63,'奶粉',12),
(64,'营养辅食',12),
(65,'尿裤湿巾',12),
(66,'喂养用品',12),
(67,'洗护用品',12),
(68,'童车童床',12),
(69,'寝居服饰',12),
(70,'妈妈专区',12),
(71,'童装童鞋',12),
(72,'安全座椅',12),
(73,'潮流女包',13),
(74,'精品男包',13),
(75,'功能箱包',13),
(76,'礼品',13),
(77,'奢侈品',13),
(78,'婚庆',13),
(79,'进口食品',14),
(80,'地方特产',14),
(81,'休闲食品',14),
(82,'粮油调味',14),
(83,'饮料冲调',14),
(84,'食品礼券',14),
(85,'茗茶',14),
(86,'时尚饰品',15),
(87,'黄金',15),
(88,'K金饰品',15),
(89,'金银投资',15),
(90,'银饰',15),
(91,'钻石',15),
(92,'翡翠玉石',15),
(93,'水晶玛瑙',15),
(94,'彩宝',15),
(95,'铂金',15),
(96,'木手串/把件',15),
(97,'珍珠',15),
(98,'维修保养',16),
(99,'车载电器',16),
(100,'美容清洗',16),
(101,'汽车装饰',16),
(102,'安全自驾',16),
(103,'汽车服务',16),
(104,'赛事改装',16),
(105,'运动鞋包',17),
(106,'运动服饰',17),
(107,'骑行运动',17),
(108,'垂钓用品',17),
(109,'游泳用品',17),
(110,'户外鞋服',17),
(111,'户外装备',17),
(112,'健身训练',17),
(113,'体育用品',17),
(114,'适用年龄',18),
(115,'遥控/电动',18),
(116,'毛绒布艺',18),
(117,'娃娃玩具',18),
(118,'模型玩具',18),
(119,'健身玩具',18),
(120,'动漫玩具',18),
(121,'益智玩具',18),
(122,'积木拼插',18),
(123,'DIY玩具',18),
(124,'创意减压',18),
(125,'乐器',18);
/*Table structure for table `base_category3` */
DROP TABLE IF EXISTS `base_category3`;
CREATE TABLE `base_category3` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '编号',
`name` varchar(200) NOT NULL COMMENT '三级分类名称',
`category2_id` bigint(20) DEFAULT NULL COMMENT '二级分类编号',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=1150 DEFAULT CHARSET=utf8 COMMENT='三级分类表';
/*Data for the table `base_category3` */
insert into `base_category3`(`id`,`name`,`category2_id`) values
(1,'电子书',1),
(2,'网络原创',1),
(3,'数字杂志',1),
(4,'多媒体图书',1),
(5,'音乐',2),
(6,'影视',2),
(7,'教育音像',2),
(8,'少儿',3),
(9,'商务投资',3),
(10,'英语学习与考试',3),
(11,'文学',3),
(12,'传记',3),
(13,'励志',3),
(14,'小说',4),
(15,'文学',4),
(16,'青春文学',4),
(17,'传记',4),
(18,'艺术',4),
(19,'少儿',5),
(20,'0-2岁',5),
(21,'3-6岁',5),
(22,'7-10岁',5),
(23,'11-14岁',5),
(24,'历史',6),
(25,'哲学',6),
(26,'国学',6),
(27,'政治/军事',6),
(28,'法律',6),
(29,'人文社科',6),
(30,'心理学',6),
(31,'文化',6),
(32,'社会科学',6),
(33,'经济',7),
(34,'金融与投资',7),
(35,'管理',7),
(36,'励志与成功',7),
(37,'生活',8),
(38,'健身与保健',8),
(39,'家庭与育儿',8),
(40,'旅游',8),
(41,'烹饪美食',8),
(42,'工业技术',9),
(43,'科普读物',9),
(44,'建筑',9),
(45,'医学',9),
(46,'科学与自然',9),
(47,'计算机与互联网',9),
(48,'电子通信',9),
(49,'中小学教辅',10),
(50,'教育与考试',10),
(51,'外语学习',10),
(52,'大中专教材',10),
(53,'字典词典',10),
(54,'艺术/设计/收藏',11),
(55,'经济管理',11),
(56,'文化/学术',11),
(57,'少儿',11),
(58,'工具书',12),
(59,'杂志/期刊',12),
(60,'套装书',12),
(61,'手机',13),
(62,'对讲机',13),
(63,'合约机',14),
(64,'选号中心',14),
(65,'装宽带',14),
(66,'办套餐',14),
(67,'移动电源',15),
(68,'电池/移动电源',15),
(69,'蓝牙耳机',15),
(70,'充电器/数据线',15),
(71,'苹果周边',15),
(72,'手机耳机',15),
(73,'手机贴膜',15),
(74,'手机存储卡',15),
(75,'充电器',15),
(76,'数据线',15),
(77,'手机保护套',15),
(78,'车载配件',15),
(79,'iPhone 配件',15),
(80,'手机电池',15),
(81,'创意配件',15),
(82,'便携/无线音响',15),
(83,'手机饰品',15),
(84,'拍照配件',15),
(85,'手机支架',15),
(86,'平板电视',16),
(87,'空调',16),
(88,'冰箱',16),
(89,'洗衣机',16),
(90,'家庭影院',16),
(91,'DVD/电视盒子',16),
(92,'迷你音响',16),
(93,'冷柜/冰吧',16),
(94,'家电配件',16),
(95,'功放',16),
(96,'回音壁/Soundbar',16),
(97,'Hi-Fi专区',16),
(98,'电视盒子',16),
(99,'酒柜',16),
(100,'燃气灶',17),
(101,'油烟机',17),
(102,'热水器',17),
(103,'消毒柜',17),
(104,'洗碗机',17),
(105,'料理机',18),
(106,'榨汁机',18),
(107,'电饭煲',18),
(108,'电压力锅',18),
(109,'豆浆机',18),
(110,'咖啡机',18),
(111,'微波炉',18),
(112,'电烤箱',18),
(113,'电磁炉',18),
(114,'面包机',18),
(115,'煮蛋器',18),
(116,'酸奶机',18),
(117,'电炖锅',18),
(118,'电水壶/热水瓶',18),
(119,'电饼铛',18),
(120,'多用途锅',18),
(121,'电烧烤炉',18),
(122,'果蔬解毒机',18),
(123,'其它厨房电器',18),
(124,'养生壶/煎药壶',18),
(125,'电热饭盒',18),
(126,'取暖电器',19),
(127,'净化器',19),
(128,'加湿器',19),
(129,'扫地机器人',19),
(130,'吸尘器',19),
(131,'挂烫机/熨斗',19),
(132,'插座',19),
(133,'电话机',19),
(134,'清洁机',19),
(135,'除湿机',19),
(136,'干衣机',19),
(137,'收录/音机',19),
(138,'电风扇',19),
(139,'冷风扇',19),
(140,'其它生活电器',19),
(141,'生活电器配件',19),
(142,'净水器',19),
(143,'饮水机',19),
(144,'剃须刀',20),
(145,'剃/脱毛器',20),
(146,'口腔护理',20),
(147,'电吹风',20),
(148,'美容器',20),
(149,'理发器',20),
(150,'卷/直发器',20),
(151,'按摩椅',20),
(152,'按摩器',20),
(153,'足浴盆',20),
(154,'血压计',20),
(155,'电子秤/厨房秤',20),
(156,'血糖仪',20),
(157,'体温计',20),
(158,'其它健康电器',20),
(159,'计步器/脂肪检测仪',20),
(160,'电动工具',21),
(161,'手动工具',21),
(162,'仪器仪表',21),
(163,'浴霸/排气扇',21),
(164,'灯具',21),
(165,'LED灯',21),
(166,'洁身器',21),
(167,'水槽',21),
(168,'龙头',21),
(169,'淋浴花洒',21),
(170,'厨卫五金',21),
(171,'家具五金',21),
(172,'门铃',21),
(173,'电气开关',21),
(174,'插座',21),
(175,'电工电料',21),
(176,'监控安防',21),
(177,'电线/线缆',21),
(178,'数码相机',22),
(179,'单电/微单相机',22),
(180,'单反相机',22),
(181,'摄像机',22),
(182,'拍立得',22),
(183,'运动相机',22),
(184,'镜头',22),
(185,'户外器材',22),
(186,'影棚器材',22),
(187,'冲印服务',22),
(188,'数码相框',22),
(189,'存储卡',23),
(190,'读卡器',23),
(191,'滤镜',23),
(192,'闪光灯/手柄',23),
(193,'相机包',23),
(194,'三脚架/云台',23),
(195,'相机清洁/贴膜',23),
(196,'机身附件',23),
(197,'镜头附件',23),
(198,'电池/充电器',23),
(199,'移动电源',23),
(200,'数码支架',23),
(201,'智能手环',24),
(202,'智能手表',24),
(203,'智能眼镜',24),
(204,'运动跟踪器',24),
(205,'健康监测',24),
(206,'智能配饰',24),
(207,'智能家居',24),
(208,'体感车',24),
(209,'其他配件',24),
(210,'智能机器人',24),
(211,'无人机',24),
(212,'MP3/MP4',25),
(213,'智能设备',25),
(214,'耳机/耳麦',25),
(215,'便携/无线音箱',25),
(216,'音箱/音响',25),
(217,'高清播放器',25),
(218,'收音机',25),
(219,'MP3/MP4配件',25),
(220,'麦克风',25),
(221,'专业音频',25),
(222,'苹果配件',25),
(223,'学生平板',26),
(224,'点读机/笔',26),
(225,'早教益智',26),
(226,'录音笔',26),
(227,'电纸书',26),
(228,'电子词典',26),
(229,'复读机',26),
(230,'延保服务',27),
(231,'杀毒软件',27),
(232,'积分商品',27),
(233,'桌布/罩件',28),
(234,'地毯地垫',28),
(235,'沙发垫套/椅垫',28),
(236,'床品套件',28),
(237,'被子',28),
(238,'枕芯',28),
(239,'床单被罩',28),
(240,'毯子',28),
(241,'床垫/床褥',28),
(242,'蚊帐',28),
(243,'抱枕靠垫',28),
(244,'毛巾浴巾',28),
(245,'电热毯',28),
(246,'窗帘/窗纱',28),
(247,'布艺软饰',28),
(248,'凉席',28),
(249,'台灯',29),
(250,'节能灯',29),
(251,'装饰灯',29),
(252,'落地灯',29),
(253,'应急灯/手电',29),
(254,'LED灯',29),
(255,'吸顶灯',29),
(256,'五金电器',29),
(257,'筒灯射灯',29),
(258,'吊灯',29),
(259,'氛围照明',29),
(260,'保暖防护',30),
(261,'收纳用品',30),
(262,'雨伞雨具',30),
(263,'浴室用品',30),
(264,'缝纫/针织用品',30),
(265,'洗晒/熨烫',30),
(266,'净化除味',30),
(267,'相框/照片墙',31),
(268,'装饰字画',31),
(269,'节庆饰品',31),
(270,'手工/十字绣',31),
(271,'装饰摆件',31),
(272,'帘艺隔断',31),
(273,'墙贴/装饰贴',31),
(274,'钟饰',31),
(275,'花瓶花艺',31),
(276,'香薰蜡烛',31),
(277,'创意家居',31),
(278,'宠物主粮',32),
(279,'宠物零食',32),
(280,'医疗保健',32),
(281,'家居日用',32),
(282,'宠物玩具',32),
(283,'出行装备',32),
(284,'洗护美容',32),
(285,'笔记本',33),
(286,'超极本',33),
(287,'游戏本',33),
(288,'平板电脑',33),
(289,'平板电脑配件',33),
(290,'台式机',33),
(291,'服务器/工作站',33),
(292,'笔记本配件',33),
(293,'一体机',33),
(294,'CPU',34),
(295,'主板',34),
(296,'显卡',34),
(297,'硬盘',34),
(298,'SSD固态硬盘',34),
(299,'内存',34),
(300,'机箱',34),
(301,'电源',34),
(302,'显示器',34),
(303,'刻录机/光驱',34),
(304,'散热器',34),
(305,'声卡/扩展卡',34),
(306,'装机配件',34),
(307,'组装电脑',34),
(308,'移动硬盘',35),
(309,'U盘',35),
(310,'鼠标',35),
(311,'键盘',35),
(312,'鼠标垫',35),
(313,'摄像头',35),
(314,'手写板',35),
(315,'硬盘盒',35),
(316,'插座',35),
(317,'线缆',35),
(318,'UPS电源',35),
(319,'电脑工具',35),
(320,'游戏设备',35),
(321,'电玩',35),
(322,'电脑清洁',35),
(323,'网络仪表仪器',35),
(324,'游戏机',36),
(325,'游戏耳机',36),
(326,'手柄/方向盘',36),
(327,'游戏软件',36),
(328,'游戏周边',36),
(329,'路由器',37),
(330,'网卡',37),
(331,'交换机',37),
(332,'网络存储',37),
(333,'4G/3G上网',37),
(334,'网络盒子',37),
(335,'网络配件',37),
(336,'投影机',38),
(337,'投影配件',38),
(338,'多功能一体机',38),
(339,'打印机',38),
(340,'传真设备',38),
(341,'验钞/点钞机',38),
(342,'扫描设备',38),
(343,'复合机',38),
(344,'碎纸机',38),
(345,'考勤机',38),
(346,'收款/POS机',38),
(347,'会议音频视频',38),
(348,'保险柜',38),
(349,'装订/封装机',38),
(350,'安防监控',38),
(351,'办公家具',38),
(352,'白板',38),
(353,'硒鼓/墨粉',39),
(354,'墨盒',39),
(355,'色带',39),
(356,'纸类',39),
(357,'办公文具',39),
(358,'学生文具',39),
(359,'财会用品',39),
(360,'文件管理',39),
(361,'本册/便签',39),
(362,'计算器',39),
(363,'笔类',39),
(364,'画具画材',39),
(365,'刻录碟片/附件',39),
(366,'上门安装',40),
(367,'延保服务',40),
(368,'维修保养',40),
(369,'电脑软件',40),
(370,'京东服务',40),
(371,'炒锅',41),
(372,'煎锅',41),
(373,'压力锅',41),
(374,'蒸锅',41),
(375,'汤锅',41),
(376,'奶锅',41),
(377,'锅具套装',41),
(378,'煲类',41),
(379,'水壶',41),
(380,'火锅',41),
(381,'菜刀',42),
(382,'剪刀',42),
(383,'刀具套装',42),
(384,'砧板',42),
(385,'瓜果刀/刨',42),
(386,'多功能刀',42),
(387,'保鲜盒',43),
(388,'烘焙/烧烤',43),
(389,'饭盒/提锅',43),
(390,'储物/置物架',43),
(391,'厨房DIY/小工具',43),
(392,'塑料杯',44),
(393,'运动水壶',44),
(394,'玻璃杯',44),
(395,'陶瓷/马克杯',44),
(396,'保温杯',44),
(397,'保温壶',44),
(398,'酒杯/酒具',44),
(399,'杯具套装',44),
(400,'餐具套装',45),
(401,'碗/碟/盘',45),
(402,'筷勺/刀叉',45),
(403,'一次性用品',45),
(404,'果盘/果篮',45),
(405,'自助餐炉',46),
(406,'酒店餐具',46),
(407,'酒店水具',46),
(408,'整套茶具',47),
(409,'茶杯',47),
(410,'茶壶',47),
(411,'茶盘茶托',47),
(412,'茶叶罐',47),
(413,'茶具配件',47),
(414,'茶宠摆件',47),
(415,'咖啡具',47),
(416,'其他',47),
(417,'纸品湿巾',48),
(418,'衣物清洁',48),
(419,'清洁工具',48),
(420,'驱虫用品',48),
(421,'家庭清洁',48),
(422,'皮具护理',48),
(423,'一次性用品',48),
(424,'洁面',49),
(425,'乳液面霜',49),
(426,'面膜',49),
(427,'剃须',49),
(428,'套装',49),
(429,'精华',49),
(430,'眼霜',49),
(431,'卸妆',49),
(432,'防晒',49),
(433,'防晒隔离',49),
(434,'T区护理',49),
(435,'眼部护理',49),
(436,'精华露',49),
(437,'爽肤水',49),
(438,'沐浴',50),
(439,'润肤',50),
(440,'颈部',50),
(441,'手足',50),
(442,'纤体塑形',50),
(443,'美胸',50),
(444,'套装',50),
(445,'精油',50),
(446,'洗发护发',50),
(447,'染发/造型',50),
(448,'香薰精油',50),
(449,'磨砂/浴盐',50),
(450,'手工/香皂',50),
(451,'洗发',50),
(452,'护发',50),
(453,'染发',50),
(454,'磨砂膏',50),
(455,'香皂',50),
(456,'牙膏/牙粉',51),
(457,'牙刷/牙线',51),
(458,'漱口水',51),
(459,'套装',51),
(460,'卫生巾',52),
(461,'卫生护垫',52),
(462,'私密护理',52),
(463,'脱毛膏',52),
(464,'其他',52),
(465,'洗发',53),
(466,'护发',53),
(467,'染发',53),
(468,'造型',53),
(469,'假发',53),
(470,'套装',53),
(471,'美发工具',53),
(472,'脸部护理',53),
(473,'香水',54),
(474,'底妆',54),
(475,'腮红',54),
(476,'眼影',54),
(477,'唇部',54),
(478,'美甲',54),
(479,'眼线',54),
(480,'美妆工具',54),
(481,'套装',54),
(482,'防晒隔离',54),
(483,'卸妆',54),
(484,'眉笔',54),
(485,'睫毛膏',54),
(486,'T恤',55),
(487,'衬衫',55),
(488,'针织衫',55),
(489,'雪纺衫',55),
(490,'卫衣',55),
(491,'马甲',55),
(492,'连衣裙',55),
(493,'半身裙',55),
(494,'牛仔裤',55),
(495,'休闲裤',55),
(496,'打底裤',55),
(497,'正装裤',55),
(498,'小西装',55),
(499,'短外套',55),
(500,'风衣',55),
(501,'毛呢大衣',55),
(502,'真皮皮衣',55),
(503,'棉服',55),
(504,'羽绒服',55),
(505,'大码女装',55),
(506,'中老年女装',55),
(507,'婚纱',55),
(508,'打底衫',55),
(509,'旗袍/唐装',55),
(510,'加绒裤',55),
(511,'吊带/背心',55),
(512,'羊绒衫',55),
(513,'短裤',55),
(514,'皮草',55),
(515,'礼服',55),
(516,'仿皮皮衣',55),
(517,'羊毛衫',55),
(518,'设计师/潮牌',55),
(519,'衬衫',56),
(520,'T恤',56),
(521,'POLO衫',56),
(522,'针织衫',56),
(523,'羊绒衫',56),
(524,'卫衣',56),
(525,'马甲/背心',56),
(526,'夹克',56),
(527,'风衣',56),
(528,'毛呢大衣',56),
(529,'仿皮皮衣',56),
(530,'西服',56),
(531,'棉服',56),
(532,'羽绒服',56),
(533,'牛仔裤',56),
(534,'休闲裤',56),
(535,'西裤',56),
(536,'西服套装',56),
(537,'大码男装',56),
(538,'中老年男装',56),
(539,'唐装/中山装',56),
(540,'工装',56),
(541,'真皮皮衣',56),
(542,'加绒裤',56),
(543,'卫裤/运动裤',56),
(544,'短裤',56),
(545,'设计师/潮牌',56),
(546,'羊毛衫',56),
(547,'文胸',57),
(548,'女式内裤',57),
(549,'男式内裤',57),
(550,'睡衣/家居服',57),
(551,'塑身美体',57),
(552,'泳衣',57),
(553,'吊带/背心',57),
(554,'抹胸',57),
(555,'连裤袜/丝袜',57),
(556,'美腿袜',57),
(557,'商务男袜',57),
(558,'保暖内衣',57),
(559,'情侣睡衣',57),
(560,'文胸套装',57),
(561,'少女文胸',57),
(562,'休闲棉袜',57),
(563,'大码内衣',57),
(564,'内衣配件',57),
(565,'打底裤袜',57),
(566,'打底衫',57),
(567,'秋衣秋裤',57),
(568,'情趣内衣',57),
(569,'服装洗护',58),
(570,'太阳镜',59),
(571,'光学镜架/镜片',59),
(572,'围巾/手套/帽子套装',59),
(573,'袖扣',59),
(574,'棒球帽',59),
(575,'毛线帽',59),
(576,'遮阳帽',59),
(577,'老花镜',59),
(578,'装饰眼镜',59),
(579,'防辐射眼镜',59),
(580,'游泳镜',59),
(581,'女士丝巾/围巾/披肩',59),
(582,'男士丝巾/围巾',59),
(583,'鸭舌帽',59),
(584,'贝雷帽',59),
(585,'礼帽',59),
(586,'真皮手套',59),
(587,'毛线手套',59),
(588,'防晒手套',59),
(589,'男士腰带/礼盒',59),
(590,'女士腰带/礼盒',59),
(591,'钥匙扣',59),
(592,'遮阳伞/雨伞',59),
(593,'口罩',59),
(594,'耳罩/耳包',59),
(595,'假领',59),
(596,'毛线/布面料',59),
(597,'领带/领结/领带夹',59),
(598,'男表',60),
(599,'瑞表',60),
(600,'女表',60),
(601,'国表',60),
(602,'日韩表',60),
(603,'欧美表',60),
(604,'德表',60),
(605,'儿童手表',60),
(606,'智能手表',60),
(607,'闹钟',60),
(608,'座钟挂钟',60),
(609,'钟表配件',60),
(610,'商务休闲鞋',61),
(611,'正装鞋',61),
(612,'休闲鞋',61),
(613,'凉鞋/沙滩鞋',61),
(614,'男靴',61),
(615,'功能鞋',61),
(616,'拖鞋/人字拖',61),
(617,'雨鞋/雨靴',61),
(618,'传统布鞋',61),
(619,'鞋配件',61),
(620,'帆布鞋',61),
(621,'增高鞋',61),
(622,'工装鞋',61),
(623,'定制鞋',61),
(624,'高跟鞋',62),
(625,'单鞋',62),
(626,'休闲鞋',62),
(627,'凉鞋',62),
(628,'女靴',62),
(629,'雪地靴',62),
(630,'拖鞋/人字拖',62),
(631,'踝靴',62),
(632,'筒靴',62),
(633,'帆布鞋',62),
(634,'雨鞋/雨靴',62),
(635,'妈妈鞋',62),
(636,'鞋配件',62),
(637,'特色鞋',62),
(638,'鱼嘴鞋',62),
(639,'布鞋/绣花鞋',62),
(640,'马丁靴',62),
(641,'坡跟鞋',62),
(642,'松糕鞋',62),
(643,'内增高',62),
(644,'防水台',62),
(645,'婴幼奶粉',63),
(646,'孕妈奶粉',63),
(647,'益生菌/初乳',64),
(648,'米粉/菜粉',64),
(649,'果泥/果汁',64),
(650,'DHA',64),
(651,'宝宝零食',64),
(652,'钙铁锌/维生素',64),
(653,'清火/开胃',64),
(654,'面条/粥',64),
(655,'婴儿尿裤',65),
(656,'拉拉裤',65),
(657,'婴儿湿巾',65),
(658,'成人尿裤',65),
(659,'奶瓶奶嘴',66),
(660,'吸奶器',66),
(661,'暖奶消毒',66),
(662,'儿童餐具',66),
(663,'水壶/水杯',66),
(664,'牙胶安抚',66),
(665,'围兜/防溅衣',66),
(666,'辅食料理机',66),
(667,'食物存储',66),
(668,'宝宝护肤',67),
(669,'洗发沐浴',67),
(670,'奶瓶清洗',67),
(671,'驱蚊防晒',67),
(672,'理发器',67),
(673,'洗澡用具',67),
(674,'婴儿口腔清洁',67),
(675,'洗衣液/皂',67),
(676,'日常护理',67),
(677,'座便器',67),
(678,'婴儿推车',68),
(679,'餐椅摇椅',68),
(680,'婴儿床',68),
(681,'学步车',68),
(682,'三轮车',68),
(683,'自行车',68),
(684,'电动车',68),
(685,'扭扭车',68),
(686,'滑板车',68),
(687,'婴儿床垫',68),
(688,'婴儿外出服',69),
(689,'婴儿内衣',69),
(690,'婴儿礼盒',69),
(691,'婴儿鞋帽袜',69),
(692,'安全防护',69),
(693,'家居床品',69),
(694,'睡袋/抱被',69),
(695,'爬行垫',69),
(696,'妈咪包/背婴带',70),
(697,'产后塑身',70),
(698,'文胸/内裤',70),
(699,'防辐射服',70),
(700,'孕妈装',70),
(701,'孕期营养',70),
(702,'孕妇护肤',70),
(703,'待产护理',70),
(704,'月子装',70),
(705,'防溢乳垫',70),
(706,'套装',71),
(707,'上衣',71),
(708,'裤子',71),
(709,'裙子',71),
(710,'内衣/家居服',71),
(711,'羽绒服/棉服',71),
(712,'亲子装',71),
(713,'儿童配饰',71),
(714,'礼服/演出服',71),
(715,'运动鞋',71),
(716,'皮鞋/帆布鞋',71),
(717,'靴子',71),
(718,'凉鞋',71),
(719,'功能鞋',71),
(720,'户外/运动服',71),
(721,'提篮式',72),
(722,'安全座椅',72),
(723,'增高垫',72),
(724,'钱包',73),
(725,'手拿包',73),
(726,'单肩包',73),
(727,'双肩包',73),
(728,'手提包',73),
(729,'斜挎包',73),
(730,'钥匙包',73),
(731,'卡包/零钱包',73),
(732,'男士钱包',74),
(733,'男士手包',74),
(734,'卡包名片夹',74),
(735,'商务公文包',74),
(736,'双肩包',74),
(737,'单肩/斜挎包',74),
(738,'钥匙包',74),
(739,'电脑包',75),
(740,'拉杆箱',75),
(741,'旅行包',75),
(742,'旅行配件',75),
(743,'休闲运动包',75),
(744,'拉杆包',75),
(745,'登山包',75),
(746,'妈咪包',75),
(747,'书包',75),
(748,'相机包',75),
(749,'腰包/胸包',75),
(750,'火机烟具',76),
(751,'礼品文具',76),
(752,'军刀军具',76),
(753,'收藏品',76),
(754,'工艺礼品',76),
(755,'创意礼品',76),
(756,'礼盒礼券',76),
(757,'鲜花绿植',76),
(758,'婚庆节庆',76),
(759,'京东卡',76),
(760,'美妆礼品',76),
(761,'礼品定制',76),
(762,'京东福卡',76),
(763,'古董文玩',76),
(764,'箱包',77),
(765,'钱包',77),
(766,'服饰',77),
(767,'腰带',77),
(768,'太阳镜/眼镜框',77),
(769,'配件',77),
(770,'鞋靴',77),
(771,'饰品',77),
(772,'名品腕表',77),
(773,'高档化妆品',77),
(774,'婚嫁首饰',78),
(775,'婚纱摄影',78),
(776,'婚纱礼服',78),
(777,'婚庆服务',78),
(778,'婚庆礼品/用品',78),
(779,'婚宴',78),
(780,'饼干蛋糕',79),
(781,'糖果/巧克力',79),
(782,'休闲零食',79),
(783,'冲调饮品',79),
(784,'粮油调味',79),
(785,'牛奶',79),
(786,'其他特产',80),
(787,'新疆',80),
(788,'北京',80),
(789,'山西',80),
(790,'内蒙古',80),
(791,'福建',80),
(792,'湖南',80),
(793,'四川',80),
(794,'云南',80),
(795,'东北',80),
(796,'休闲零食',81),
(797,'坚果炒货',81),
(798,'肉干肉脯',81),
(799,'蜜饯果干',81),
(800,'糖果/巧克力',81),
(801,'饼干蛋糕',81),
(802,'无糖食品',81),
(803,'米面杂粮',82),
(804,'食用油',82),
(805,'调味品',82),
(806,'南北干货',82),
(807,'方便食品',82),
(808,'有机食品',82),
(809,'饮用水',83),
(810,'饮料',83),
(811,'牛奶乳品',83),
(812,'咖啡/奶茶',83),
(813,'冲饮谷物',83),
(814,'蜂蜜/柚子茶',83),
(815,'成人奶粉',83),
(816,'月饼',84),
(817,'大闸蟹',84),
(818,'粽子',84),
(819,'卡券',84),
(820,'铁观音',85),
(821,'普洱',85),
(822,'龙井',85),
(823,'绿茶',85),
(824,'红茶',85),
(825,'乌龙茶',85),
(826,'花草茶',85),
(827,'花果茶',85),
(828,'养生茶',85),
(829,'黑茶',85),
(830,'白茶',85),
(831,'其它茶',85),
(832,'项链',86),
(833,'手链/脚链',86),
(834,'戒指',86),
(835,'耳饰',86),
(836,'毛衣链',86),
(837,'发饰/发卡',86),
(838,'胸针',86),
(839,'饰品配件',86),
(840,'婚庆饰品',86),
(841,'黄金吊坠',87),
(842,'黄金项链',87),
(843,'黄金转运珠',87),
(844,'黄金手镯/手链/脚链',87),
(845,'黄金耳饰',87),
(846,'黄金戒指',87),
(847,'K金吊坠',88),
(848,'K金项链',88),
(849,'K金手镯/手链/脚链',88),
(850,'K金戒指',88),
(851,'K金耳饰',88),
(852,'投资金',89),
(853,'投资银',89),
(854,'投资收藏',89),
(855,'银吊坠/项链',90),
(856,'银手镯/手链/脚链',90),
(857,'银戒指',90),
(858,'银耳饰',90),
(859,'足银手镯',90),
(860,'宝宝银饰',90),
(861,'裸钻',91),
(862,'钻戒',91),
(863,'钻石项链/吊坠',91),
(864,'钻石耳饰',91),
(865,'钻石手镯/手链',91),
(866,'项链/吊坠',92),
(867,'手镯/手串',92),
(868,'戒指',92),
(869,'耳饰',92),
(870,'挂件/摆件/把件',92),
(871,'玉石孤品',92),
(872,'项链/吊坠',93),
(873,'耳饰',93),
(874,'手镯/手链/脚链',93),
(875,'戒指',93),
(876,'头饰/胸针',93),
(877,'摆件/挂件',93),
(878,'琥珀/蜜蜡',94),
(879,'碧玺',94),
(880,'红宝石/蓝宝石',94),
(881,'坦桑石',94),
(882,'珊瑚',94),
(883,'祖母绿',94),
(884,'葡萄石',94),
(885,'其他天然宝石',94),
(886,'项链/吊坠',94),
(887,'耳饰',94),
(888,'手镯/手链',94),
(889,'戒指',94),
(890,'铂金项链/吊坠',95),
(891,'铂金手镯/手链/脚链',95),
(892,'铂金戒指',95),
(893,'铂金耳饰',95),
(894,'小叶紫檀',96),
(895,'黄花梨',96),
(896,'沉香木',96),
(897,'金丝楠',96),
(898,'菩提',96),
(899,'其他',96),
(900,'橄榄核/核桃',96),
(901,'檀香',96),
(902,'珍珠项链',97),
(903,'珍珠吊坠',97),
(904,'珍珠耳饰',97),
(905,'珍珠手链',97),
(906,'珍珠戒指',97),
(907,'珍珠胸针',97),
(908,'机油',98),
(909,'正时皮带',98),
(910,'添加剂',98),
(911,'汽车喇叭',98),
(912,'防冻液',98),
(913,'汽车玻璃',98),
(914,'滤清器',98),
(915,'火花塞',98),
(916,'减震器',98),
(917,'柴机油/辅助油',98),
(918,'雨刷',98),
(919,'车灯',98),
(920,'后视镜',98),
(921,'轮胎',98),
(922,'轮毂',98),
(923,'刹车片/盘',98),
(924,'维修配件',98),
(925,'蓄电池',98),
(926,'底盘装甲/护板',98),
(927,'贴膜',98),
(928,'汽修工具',98),
(929,'改装配件',98),
(930,'导航仪',99),
(931,'安全预警仪',99),
(932,'行车记录仪',99),
(933,'倒车雷达',99),
(934,'蓝牙设备',99),
(935,'车载影音',99),
(936,'净化器',99),
(937,'电源',99),
(938,'智能驾驶',99),
(939,'车载电台',99),
(940,'车载电器配件',99),
(941,'吸尘器',99),
(942,'智能车机',99),
(943,'冰箱',99),
(944,'汽车音响',99),
(945,'车载生活电器',99),
(946,'车蜡',100),
(947,'补漆笔',100),
(948,'玻璃水',100),
(949,'清洁剂',100),
(950,'洗车工具',100),
(951,'镀晶镀膜',100),
(952,'打蜡机',100),
(953,'洗车配件',100),
(954,'洗车机',100),
(955,'洗车水枪',100),
(956,'毛巾掸子',100),
(957,'脚垫',101),
(958,'座垫',101),
(959,'座套',101),
(960,'后备箱垫',101),
(961,'头枕腰靠',101),
(962,'方向盘套',101),
(963,'香水',101),
(964,'空气净化',101),
(965,'挂件摆件',101),
(966,'功能小件',101),
(967,'车身装饰件',101),
(968,'车衣',101),
(969,'安全座椅',102),
(970,'胎压监测',102),
(971,'防盗设备',102),
(972,'应急救援',102),
(973,'保温箱',102),
(974,'地锁',102),
(975,'摩托车',102),
(976,'充气泵',102),
(977,'储物箱',102),
(978,'自驾野营',102),
(979,'摩托车装备',102),
(980,'清洗美容',103),
(981,'功能升级',103),
(982,'保养维修',103),
(983,'油卡充值',103),
(984,'车险',103),
(985,'加油卡',103),
(986,'ETC',103),
(987,'驾驶培训',103),
(988,'赛事服装',104),
(989,'赛事用品',104),
(990,'制动系统',104),
(991,'悬挂系统',104),
(992,'进气系统',104),
(993,'排气系统',104),
(994,'电子管理',104),
(995,'车身强化',104),
(996,'赛事座椅',104),
(997,'跑步鞋',105),
(998,'休闲鞋',105),
(999,'篮球鞋',105),
(1000,'板鞋',105),
(1001,'帆布鞋',105),
(1002,'足球鞋',105),
(1003,'乒羽网鞋',105),
(1004,'专项运动鞋',105),
(1005,'训练鞋',105),
(1006,'拖鞋',105),
(1007,'运动包',105),
(1008,'羽绒服',106),
(1009,'棉服',106),
(1010,'运动裤',106),
(1011,'夹克/风衣',106),
(1012,'卫衣/套头衫',106),
(1013,'T恤',106),
(1014,'套装',106),
(1015,'乒羽网服',106),
(1016,'健身服',106),
(1017,'运动背心',106),
(1018,'毛衫/线衫',106),
(1019,'运动配饰',106),
(1020,'折叠车',107),
(1021,'山地车/公路车',107),
(1022,'电动车',107),
(1023,'其他整车',107),
(1024,'骑行服',107),
(1025,'骑行装备',107),
(1026,'平衡车',107),
(1027,'鱼竿鱼线',108),
(1028,'浮漂鱼饵',108),
(1029,'钓鱼桌椅',108),
(1030,'钓鱼配件',108),
(1031,'钓箱鱼包',108),
(1032,'其它',108),
(1033,'泳镜',109),
(1034,'泳帽',109),
(1035,'游泳包防水包',109),
(1036,'女士泳衣',109),
(1037,'男士泳衣',109),
(1038,'比基尼',109),
(1039,'其它',109),
(1040,'冲锋衣裤',110),
(1041,'速干衣裤',110),
(1042,'滑雪服',110),
(1043,'羽绒服/棉服',110),
(1044,'休闲衣裤',110),
(1045,'抓绒衣裤',110),
(1046,'软壳衣裤',110),
(1047,'T恤',110),
(1048,'户外风衣',110),
(1049,'功能内衣',110),
(1050,'军迷服饰',110),
(1051,'登山鞋',110),
(1052,'雪地靴',110),
(1053,'徒步鞋',110),
(1054,'越野跑鞋',110),
(1055,'休闲鞋',110),
(1056,'工装鞋',110),
(1057,'溯溪鞋',110),
(1058,'沙滩/凉拖',110),
(1059,'户外袜',110),
(1060,'帐篷/垫子',111),
(1061,'睡袋/吊床',111),
(1062,'登山攀岩',111),
(1063,'户外配饰',111),
(1064,'背包',111),
(1065,'户外照明',111),
(1066,'户外仪表',111),
(1067,'户外工具',111),
(1068,'望远镜',111),
(1069,'旅游用品',111),
(1070,'便携桌椅床',111),
(1071,'野餐烧烤',111),
(1072,'军迷用品',111),
(1073,'救援装备',111),
(1074,'滑雪装备',111),
(1075,'极限户外',111),
(1076,'冲浪潜水',111),
(1077,'综合训练器',112),
(1078,'其他大型器械',112),
(1079,'哑铃',112),
(1080,'仰卧板/收腹机',112),
(1081,'其他中小型器材',112),
(1082,'瑜伽舞蹈',112),
(1083,'甩脂机',112),
(1084,'踏步机',112),
(1085,'武术搏击',112),
(1086,'健身车/动感单车',112),
(1087,'跑步机',112),
(1088,'运动护具',112),
(1089,'羽毛球',113),
(1090,'乒乓球',113),
(1091,'篮球',113),
(1092,'足球',113),
(1093,'网球',113),
(1094,'排球',113),
(1095,'高尔夫',113),
(1096,'台球',113),
(1097,'棋牌麻将',113),
(1098,'轮滑滑板',113),
(1099,'其他',113),
(1100,'0-6个月',114),
(1101,'6-12个月',114),
(1102,'1-3岁',114),
(1103,'3-6岁',114),
(1104,'6-14岁',114),
(1105,'14岁以上',114),
(1106,'遥控车',115),
(1107,'遥控飞机',115),
(1108,'遥控船',115),
(1109,'机器人',115),
(1110,'轨道/助力',115),
(1111,'毛绒/布艺',116),
(1112,'靠垫/抱枕',116),
(1113,'芭比娃娃',117),
(1114,'卡通娃娃',117),
(1115,'智能娃娃',117),
(1116,'仿真模型',118),
(1117,'拼插模型',118),
(1118,'收藏爱好',118),
(1119,'炫舞毯',119),
(1120,'爬行垫/毯',119),
(1121,'户外玩具',119),
(1122,'戏水玩具',119),
(1123,'电影周边',120),
(1124,'卡通周边',120),
(1125,'网游周边',120),
(1126,'摇铃/床铃',121),
(1127,'健身架',121),
(1128,'早教启智',121),
(1129,'拖拉玩具',121),
(1130,'积木',122),
(1131,'拼图',122),
(1132,'磁力棒',122),
(1133,'立体拼插',122),
(1134,'手工彩泥',123),
(1135,'绘画工具',123),
(1136,'情景玩具',123),
(1137,'减压玩具',124),
(1138,'创意玩具',124),
(1139,'钢琴',125),
(1140,'电子琴/电钢琴',125),
(1141,'吉他/尤克里里',125),
(1142,'打击乐器',125),
(1143,'西洋管弦',125),
(1144,'民族管弦乐器',125),
(1145,'乐器配件',125),
(1146,'电脑音乐',125),
(1147,'工艺礼品乐器',125),
(1148,'口琴/口风琴/竖笛',125),
(1149,'手风琴',125);
/*Table structure for table `base_province` */
DROP TABLE IF EXISTS `base_province`;
CREATE TABLE `base_province` (
`id` bigint(20) DEFAULT NULL COMMENT 'id',
`name` varchar(20) DEFAULT NULL COMMENT '省名称',
`region_id` varchar(20) DEFAULT NULL COMMENT '大区id'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `base_province` */
insert into `base_province`(`id`,`name`,`region_id`) values
(1,'北京','1'),
(2,'天津市','1'),
(3,'山西','1'),
(4,'内蒙古','1'),
(5,'河北','1'),
(6,'上海','2'),
(7,'江苏','2'),
(8,'浙江','2'),
(9,'安徽','2'),
(10,'福建','2'),
(11,'江西','2'),
(12,'山东','2'),
(13,'江西','2'),
(14,'台湾','2'),
(15,'黑龙江','3'),
(16,'吉林','3'),
(17,'辽宁','3'),
(18,'陕西','7'),
(19,'甘肃','7'),
(20,'青海','7'),
(21,'宁夏','7'),
(22,'新疆','7'),
(23,'河南','4'),
(24,'湖北','4'),
(25,'湖南','4'),
(26,'广东','5'),
(27,'广西','5'),
(28,'海南','5'),
(29,'香港','5'),
(30,'澳门','5'),
(31,'四川','6'),
(32,'贵州','6'),
(33,'云南','6'),
(34,'重庆','6'),
(35,'西藏','6');
/*Table structure for table `base_region` */
DROP TABLE IF EXISTS `base_region`;
CREATE TABLE `base_region` (
`id` varchar(20) DEFAULT NULL COMMENT '大区id',
`region_name` varchar(20) DEFAULT NULL COMMENT '大区名称'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `base_region` */
insert into `base_region`(`id`,`region_name`) values
('1','华北'),
('2','华东'),
('3','东北'),
('4','华中'),
('5','华南'),
('6','西南'),
('7','西北');
/*Table structure for table `base_trademark` */
DROP TABLE IF EXISTS `base_trademark`;
CREATE TABLE `base_trademark` (
`tm_id` varchar(20) DEFAULT NULL COMMENT '品牌id',
`tm_name` varchar(20) DEFAULT NULL COMMENT '品牌名称'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `base_trademark` */
insert into `base_trademark`(`tm_id`,`tm_name`) values
('1','小米'),
('2','荣耀'),
('3','apple'),
('4','tcl'),
('5','北纯');
/*Table structure for table `order_detail` */
DROP TABLE IF EXISTS `order_detail`;
CREATE TABLE `order_detail` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '编号',
`order_id` bigint(20) DEFAULT NULL COMMENT '订单编号',
`sku_id` bigint(20) DEFAULT NULL COMMENT 'sku_id',
`sku_name` varchar(200) DEFAULT NULL COMMENT 'sku名称（冗余)',
`img_url` varchar(200) DEFAULT NULL COMMENT '图片名称（冗余)',
`order_price` decimal(10,2) DEFAULT NULL COMMENT '购买价格(下单时sku价格）',
`sku_num` varchar(200) DEFAULT NULL COMMENT '购买个数',
`create_time` datetime DEFAULT NULL COMMENT '创建时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=863 DEFAULT CHARSET=utf8 COMMENT='订单明细表';
/*Data for the table `order_detail` */
insert into `order_detail`(`id`,`order_id`,`sku_id`,`sku_name`,`img_url`,`order_price`,`sku_num`,`create_time`) values
(1,1,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://AxOBqadryrnrSoRsmfTbyrosYNVmARJRjuuRXpHr',8900.00,'4','2019-08-01 11:35:50'),
(2,1,7,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://TBbDLUqTwDBYmqQgixNxXvlSHJkfWsYNThcSfZFc',1553.00,'3','2019-08-01 11:35:50'),
(3,1,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://wPKgCrbfzhkJzDsfvPMokhhqgHRnPlLVvploMSdL',244.00,'3','2019-08-01 11:35:50'),
(4,1,10,'小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用','http://mDdHcmgTYpALaXJBHEbsKwefmVRyROruXBREwvMz',222.00,'2','2019-08-01 11:35:50'),
(5,2,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://EUKQbHfHVHzAdOKjPxSYllwBsjQEvtJXVIHjZwhy',8900.00,'5','2019-08-01 14:12:07'),
(6,2,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://CEpNVpLJpudkQxPHQgkJAHMOIXPhqjWfMsDNehyV',2220.00,'1','2019-08-01 14:12:07'),
(7,2,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://TgaIrIrIqEZiUYjXozJHuaTtlYlluqvejHJztvVt',2220.00,'1','2019-08-01 14:12:07'),
(8,2,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://AAYsSnICPpgLnfMvSbCJMHahHQhpbmhXsVyHNWtb',1442.00,'1','2019-08-01 14:12:07'),
(9,2,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://owtDIJuVthEBSLZRirjUXcuQUcCJyAeXzCrZVHwm',1442.00,'5','2019-08-01 14:12:07'),
(10,3,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://vaOUeOIYTxHRpWNbSkuvThfefocvXBPuELRdPRLh',1442.00,'3','2019-08-01 21:39:25'),
(11,3,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://uLtOKlbvZLJZbjPzdSfWqPcSijxMryrmluniaCNg',244.00,'2','2019-08-01 21:39:25'),
(12,3,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://iwHYWLQWjhkCjkzRJVzOuJWOfmQtvXzEzHQghtxg',244.00,'2','2019-08-01 21:39:25'),
(13,4,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://QITtooDZouhDvpqIsPUeOEIzyVgUfSWeJiNohTWc',3321.00,'3','2019-08-01 20:12:43'),
(14,4,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://vDFsVBUUNgqmmyHPeaOSWgSTRAcNEKMDJxsylLXE',3321.00,'1','2019-08-01 20:12:43'),
(15,4,9,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','http://CvvRYsRghrkcHewYDTLZPYyyVhZCMdelTMdfrsPV',2452.00,'2','2019-08-01 20:12:43'),
(16,4,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://JwlQyTZpCPuBzTVWWUIJfIZYSvzlHDTJOTavdcem',3100.00,'5','2019-08-01 20:12:43'),
(17,5,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://LcftCIHlihkHDWZhKfuJkXhVgTZrMKptYKFWQrmi',145.00,'1','2019-08-01 04:55:56'),
(18,5,10,'小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用','http://nHvfofKkTNjFALcfrwgrrFdznQsorSoOegsvYHoy',222.00,'3','2019-08-01 04:55:56'),
(19,5,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://SusIkawkHFfNybMFRuvSeSayqiVcymNgphOBpSux',1442.00,'1','2019-08-01 04:55:56'),
(20,5,7,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://dFRpcpsWCYjayrpyvKooAOplkpVHBINNDASPtymR',1553.00,'3','2019-08-01 04:55:56'),
(21,6,9,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','http://fkKWALgwOJMSbDPnWUJxwODzOtEPlMZNQRJXJBFy',2452.00,'3','2019-08-01 14:03:54'),
(22,6,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://CdLvTgYAFANphUZowqowqqHpBLaWJoEbxhuBwEJs',3100.00,'5','2019-08-01 14:03:54'),
(23,6,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://ybLCEpJBFwtCFsbciKZUxDzNrsReVsZVDhYywKme',244.00,'4','2019-08-01 14:03:54'),
(24,6,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://QDwuKqzyWlpQmLSinRrldHdsDQuAtqytzoYYWQmP',3321.00,'2','2019-08-01 14:03:54'),
(25,7,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://jPxUdJkWfLmfPJMRaysuSeTfWrUwycTjpZagCvuM',244.00,'3','2019-08-01 19:35:02'),
(26,7,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://AnQpcsEUJLDKQZzwLrADpPdZLIfEFlsckURBeSdM',244.00,'3','2019-08-01 19:35:02'),
(27,8,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://sbeuHfDzNsBBdLvUkupsVwzfcVyCuppJljqbiNpj',3100.00,'1','2019-08-01 07:10:38'),
(28,8,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://xQMkQzaFWSAWhVhXsUvtHeBslbzttLAuwYCQzXrQ',145.00,'1','2019-08-01 07:10:38'),
(29,8,9,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','http://RNrsOQOvLsJosWJoDbtPTauXCUSFwuFTEqQfdccg',2452.00,'3','2019-08-01 07:10:38'),
(30,8,10,'小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用','http://PCrabiJXKKrHiTTNkLZNUhcPSUVUMbXFlmBXhVhX',222.00,'2','2019-08-01 07:10:38'),
(31,8,9,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','http://YyzZAFyBkxJdmdCBazvFNaNPLkTKWEeKlcBChfdc',2452.00,'1','2019-08-01 07:10:38'),
(32,9,9,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','http://xTYnujLfpkeTdMBuvRZvdhzcNIafxZDSJALekQxN',2452.00,'3','2019-08-01 22:46:43'),
(33,9,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://SxKiMhDrbgCrbhHOaInrWIystOQKeszvELRZxphR',1442.00,'4','2019-08-01 22:46:43'),
(34,9,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://nqTtlbyqfDCavbUvvPOyaInpNTdLuPPFHtVAPyWm',1442.00,'3','2019-08-01 22:46:43'),
(35,9,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://zwIcmeLopHpCTLYJCJBMfqqEYhNszvDDjjuwWwqn',1442.00,'2','2019-08-01 22:46:43'),
(36,9,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://wOHVEifZIrIpBOnaosXLKtMCDhcRaCLZLJooFkks',3321.00,'2','2019-08-01 22:46:43'),
(37,10,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://erwizYudiExAkzSQzZzxPFKIjVatPRQEyFFkinPj',2220.00,'3','2019-08-01 21:35:19'),
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(72,23,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://rdpsQbLCAWiaDRvFPkChdWyAghrmknJJeBwCyLiK',145.00,'5','2019-08-01 21:54:57'),
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(98,32,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://fgpgKhJHudeogPHNVoJpJkgaIqJiWhWlsfxUjlAU',145.00,'5','2019-08-01 18:55:49'),
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(104,35,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://xtxhtxfiCnJtYNUkqZadpoyDwxXuhCqUBWgOCtme',8900.00,'4','2019-08-01 14:11:13'),
(105,35,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://OMrxoZhOwSawgrrIrHkeQQFJpHoxxUgXtYPcRcME',244.00,'4','2019-08-01 14:11:13'),
(106,36,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://mIJgOAkzSOsxjBgcTlyIVFmvppFeFQnQqgJabgBm',145.00,'4','2019-08-01 12:34:00'),
(107,36,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://RkyMrxnXYXVKLBzRNoeFNaLFRsnmvtHeyhpeBskX',1442.00,'1','2019-08-01 12:34:00'),
(108,36,9,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','http://FFklATQyUdJXVHBLYLJleNAoVKPQNqoyzcPSSNkL',2452.00,'1','2019-08-01 12:34:00'),
(109,37,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://TktnkkwCwBrfCtnhXqMNDEjjrgHPgkHFfJhHQisq',244.00,'3','2019-08-01 18:21:26'),
(110,38,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://mMbSmEltmczpakWfMrxocvTjmKNJgCwyfdbWCZnr',145.00,'5','2019-08-01 12:08:28'),
(111,39,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://mbvbRhjAXoCTNiCmBXkiiqfJNVoHucdjJVyJWJCN',244.00,'1','2019-08-01 12:20:16'),
(112,39,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://QvELRcKuQXqMJnlqWLNKkTNjFBPwLquccfsyqjXl',3100.00,'2','2019-08-01 12:20:16'),
(113,39,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://UWZjTSHJyoYdwVoJBHEbrHkfUjmHzDpQisqCOnWV',145.00,'4','2019-08-01 12:20:16'),
(114,39,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://vFQmOkFzEAOuFUEnCZpAJTrclYlgaJuTjrhJXNWt',3321.00,'1','2019-08-01 12:20:16'),
(115,39,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://YhRKaZUzMojcMBwCyLjOqmmyJaZTxHQjyPEAOtBC',3100.00,'1','2019-08-01 12:20:16'),
(116,40,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://xZHnsYNXyAhjyOycQVgSWdBwJOcVxxWpIxocsJpx',244.00,'2','2019-08-01 20:35:50'),
(117,40,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://RfZFcuUpNWrVCatTmEklBYnterwiySUVSClvuLyh',244.00,'2','2019-08-01 20:35:50'),
(118,40,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://haEYduOJeuMzlJKzrkYoALdgyaDRxOAnMXALcfuF',3100.00,'5','2019-08-01 20:35:50'),
(119,41,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://TRFALencxgpdznOixMtJajTPuELUnIBJBQzaESAZ',3321.00,'3','2019-08-01 15:54:48'),
(120,41,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://NhwLrBFyDtjNncznTDlwyfcYKJYbjSLaVASNkMgv',3100.00,'4','2019-08-01 15:54:48'),
(121,41,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://wTfWqOWrWEieWwqrMHahIVEicNJTyLjPxQMlWYez',2220.00,'2','2019-08-01 15:54:48'),
(122,41,7,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://xvJhLjKXLJpufqpBLceohSUSHJllusDOlMaUurzw',1553.00,'4','2019-08-01 15:54:48'),
(123,41,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://mcCCfWoJpFeJiMmZjYqIrLCHAJSmEnCVXcrETHDW',2220.00,'5','2019-08-01 15:54:48'),
(124,42,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://IgJOaMFSvArhNpkheZMIiNsAzWkjsjQFANnbuSeU',2220.00,'1','2019-08-01 20:59:48'),
(125,42,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://OfjJBQxRRKWEeMtKtNJgFJoCUQtylJPUfPKeuHco',3100.00,'2','2019-08-01 20:59:48'),
(126,42,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://MkPuEMWvpnwruWyFHrMMxebWDatPVjjqbjQCoPgn',145.00,'5','2019-08-01 20:59:48'),
(127,43,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://meMxbNKmeMvRXlmFmwxWqPaJiWjdOLlatPWmtiJW',1442.00,'4','2019-08-01 14:13:20'),
(128,43,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://jJDZnqOXufvJjVXdyivFNXALdhBmEnzLgvLsEWSA',244.00,'5','2019-08-01 14:13:20'),
(129,43,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://eWtciJUxDyIVDfSWfLryrpAExAjuvTfXxuEPjDoI',3321.00,'3','2019-08-01 14:13:20'),
(130,43,7,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://nIzAcMBwDEigeddhCoOdXEeIewUheZItRfZFgOzh',1553.00,'2','2019-08-01 14:13:20'),
(131,43,10,'小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用','http://wIYUBZuXEeJiMnbtOQKdkRDtfxVlsfAjsorRjvAq',222.00,'1','2019-08-01 14:13:20'),
(132,44,9,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','http://TZrHowsyoYduNIYVIEUMZMNEIDTFvlVVPlLZLJkY',2452.00,'2','2019-08-01 05:03:47'),
(133,45,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://JkfWpNTgYzzcKvYFfJiKdjLbaWJJbnknJImkrdom',8900.00,'2','2019-08-01 08:24:11'),
(134,45,10,'小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用','http://xFKImjjrjUWZiSPsxjEtdnczqduQROvJjTOqnpLM',222.00,'3','2019-08-01 08:24:11'),
(135,45,7,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://fSXmoMRXozJIxnXXXVJKwfjFxzfaOQNrxmQtxgnV',1553.00,'4','2019-08-01 08:24:11'),
(136,45,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://PpeDEkoPivEKMEKNIdrxqjXkilJyyWlrZXQjyQIU',3100.00,'3','2019-08-01 08:24:11'),
(137,45,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://gjDpNVpOWtfrtUsdqsPZzCkvwVqQffmQwKjPxUhY',145.00,'3','2019-08-01 08:24:11'),
(138,46,9,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','http://HTxHRoUJwqnqTuqubaUyJYRoRtsJsLByPCupozHO',2452.00,'5','2019-08-01 11:07:25'),
(139,46,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://ndArgJaZVFqLJnmuneKnkmDeOEHxrrJfLlarIovl',244.00,'5','2019-08-01 11:07:25'),
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(141,46,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://JgDwzgkHJiYrOUfUgWoHrMKqwkOmSDnEgWnBTOnX',3321.00,'5','2019-08-01 11:07:25'),
(142,47,9,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','http://vQRMhCpRoVKOPJZTxFIyuEKOPITuuMDJtbaXNVrV',2452.00,'3','2019-08-01 00:08:08'),
(143,48,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://TWanmwxWpMQQHPcQWnxAhmMbUtjPxTavbTqZXPjx',3321.00,'4','2019-08-01 22:21:28'),
(144,48,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://giwIadrwjFxxUfUhcPSRIQdUoLNFOfjJCTJQdThh',145.00,'2','2019-08-01 22:21:28'),
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(146,49,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://QLiKXKJZgFJFWUKOQNpmrYQkBbFWQqgKeuHdwWrU',244.00,'3','2019-08-01 16:50:58'),
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(149,50,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://SBaxnYctIlfRVczqhOvOHTvxcReVoIysuVulUQxN',3100.00,'3','2019-08-01 13:30:39'),
(150,50,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://UpRmKPVgTayoYbmhWpJzwKkUTJQcNHYTyOwQOxVl',2220.00,'2','2019-08-01 13:30:39'),
(151,51,10,'小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用','http://lFsaZUATTMdelRCmASOqnrTuprQeVteokgdVukQz',222.00,'5','2019-08-01 05:11:04'),
(152,51,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://xPHPcTktnkmFqNPNsDMXFgRQDvtHcpsWDauWwuKo',145.00,'2','2019-08-01 05:11:04'),
(153,51,7,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://XfIYUEmvqveiFzHPaJtQXsUunjdRXlqUARKaWIyt',1553.00,'3','2019-08-01 05:11:04'),
(154,51,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://UrZabfzghqjXllyJZUCbBEoJESzVeLptYNTeNFKM',2220.00,'3','2019-08-01 05:11:04'),
(155,52,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://xpjaABfVoJrMNBtqxrrHjazuzpblcCHDVUJNMvTi',1442.00,'1','2019-08-01 17:17:45'),
(156,52,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://rouhAgfjDpMSdMCzPzgglMbYLMArjVanrRkzTSKU',3321.00,'2','2019-08-01 17:17:45'),
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(158,53,10,'小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用','http://vCBWfKkUSFxzbLBxIWLPSTPssMEOegswdbZQgjDp',222.00,'4','2019-08-01 13:33:46'),
(159,53,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://ligkFvlTKToMVpPeaPWpLKqytBAXnumaqCQyRQEw',8900.00,'3','2019-08-01 13:33:46'),
(160,54,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://zcOMryuzrjVaovlTLYKERtvYCSEwtCFvlVVOgstS',145.00,'1','2019-08-01 22:09:45'),
(161,54,10,'小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用','http://joQnRttNHZaevQTSKUvsEPoYduNHUDgWrRjvApZb',222.00,'1','2019-08-01 22:09:45'),
(162,55,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://wJfybOMwWtdkPuCEoHvfocxdYKFWSxMpnvqsPXta',145.00,'5','2019-08-01 19:41:15'),
(163,55,7,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://rRfcXHpEcxgpfEICNiDqSqcnkjpYXTAWgPIVCauY',1553.00,'4','2019-08-01 19:41:15'),
(164,56,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://NFLQUdFTBaxlMdfsvcWEeKmgTcCHFbsLAsoqLHdv',2220.00,'5','2019-08-01 10:25:27'),
(165,56,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://DNgpjXlmCcEOgnXXVLRbJdwWvmYhQHNTdLvWwsyo',2220.00,'1','2019-08-01 10:25:27'),
(166,56,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://hbKvWxvOEHxqkfWpJAAbEUHFdByMneHYXOfjEtiJ',3100.00,'4','2019-08-01 10:25:27'),
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(180,61,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://xJQhrkcHcprRioXVKMFRriOyZEULYIxkHJvbVxDz',145.00,'4','2019-08-01 03:40:46'),
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(189,65,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://JUvtIhLjMjJRjslbAyOCrcoklzNszvFNbRdRYsRg',145.00,'1','2019-08-01 18:34:40'),
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(207,71,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://wzlJyyXtYNUihkEpNWrTutHgJaclWctNIbkSMdhA',145.00,'1','2019-08-01 03:05:04'),
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(236,81,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://BnLOPFHvhzaEWRwJPhrlfRWeHXQlHCSEulWZiRLe',145.00,'2','2019-08-01 07:57:15'),
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(254,86,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://fgpeBwCzOwPJbdollxEEhXqLKsJfJRoTBZwizaBH',145.00,'4','2019-08-01 21:56:29'),
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(260,87,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://BmFqMQQHMNHUAVZlfUiiqexYDVRxOBqZZXPjzVdH',145.00,'5','2019-08-01 06:46:39'),
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(262,88,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://bETJAJJmsdlVUMZOVmwxWrSnMXALdjLbbchCpUCe',145.00,'4','2019-08-01 21:33:30'),
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(268,91,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://EvruYKCHEYfFNWwrtVvqqHnukQxRQDvsDLXCVUOk',145.00,'4','2019-08-01 21:07:24'),
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(304,103,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://OWtaYPcTmCdHcpsUuprLHdsJbopJoBNlPuBzQHPb',8900.00,'4','2019-08-02 17:08:08'),
(305,104,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://BoPgnWRwJdpoAJUwybNLsEUJOQMmaowoeFOcUrad',244.00,'2','2019-08-02 13:56:49'),
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(308,105,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://WkjskYmnJrPXvlTILENcWDarKwflNjFyDtjPwOED',145.00,'1','2019-08-02 11:14:36'),
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(313,106,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://qgHQjxKgCshHOZJiXpDXbqyyTZozDvtDNegtBAXn',145.00,'3','2019-08-02 16:50:10'),
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(315,107,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://ZQgjBhdUqSqafBpUEmzIUwAkBazvDEnAOswhuBzU',8900.00,'5','2019-08-02 08:25:50'),
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(319,109,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://xdZKFTEqQiqgIVFnxCsgCrfzhlLWBPwOEDfPKerw',2220.00,'1','2019-08-02 13:03:14'),
(320,109,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://BxKfyaJsMHYVICOlPphRKbaYRpWPkEqSpWOeeiFB',244.00,'5','2019-08-02 13:03:14'),
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(323,111,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://jpVJLAsqADoNXwqqEZkaxoYdvSaAAZzvHXRqfCus',145.00,'3','2019-08-02 08:38:32'),
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(327,112,4,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','http://WPkEsbcjMgwQNtDLVwsAAbDNdfqpyAhlJzDtjMkO',1442.00,'2','2019-08-02 21:30:54'),
(328,112,3,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','http://krdqtWAPwPHRpXUDihmNddgvMuOMtIkZqFfKlZov',3100.00,'2','2019-08-02 21:30:54'),
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(330,112,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://azvJStqzAeUiitqzzXrRhlHEXcvTgcRbJbqzzYvf',145.00,'2','2019-08-02 21:30:54'),
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(332,113,1,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','http://HYYUDifbSinQpdwWuiJJoBPwLopFiZxpfJdrwizY',2220.00,'2','2019-08-02 03:42:51'),
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(338,114,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://UcDKOPIXLPPEBSMgwOJLOKkWbqCMgrrKxkHHnrVE',145.00,'1','2019-08-02 05:48:47'),
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(341,115,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://ufoeEIFZiTSJSlBZqIqIqFfJhHPcQYtZQfdcbbbc',8900.00,'1','2019-08-02 22:45:27'),
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(347,117,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://ngTatUsetDNeguDIJgNvPNwSZuXJmqTxEJtXIyrn',8900.00,'2','2019-08-02 13:44:47'),
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(564,190,8,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','http://HkbDLWyDwvQRKbciJVzKervcZQgjzWjeThgizVeM',8900.00,'3','2019-08-02 18:23:32'),
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(571,193,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://QDupmtgCpUDgUigfiyTatTlBWgOAmJxuFSzRLftE',145.00,'4','2019-08-02 00:00:34'),
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(586,198,5,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','http://ZHpAIQggmSDpMSbFXUFsYPdYIuZPXuhzeUlxEFkn',244.00,'4','2019-08-02 11:21:13'),
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(595,201,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://DwvNFNXyCoMVsZTxEJsUxAkAVarHkeRTUTIJyoYa',145.00,'1','2019-08-05 14:59:46'),
(596,201,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://tlYlkrfydUqVFmwxWoHrMKnlraadppJjbHfEHvhA',145.00,'1','2019-08-05 14:59:46'),
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(600,203,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://MpnvpllzMmZlhcRcLxhpdwXxwQPDuppEaqCProtc',145.00,'1','2019-08-05 14:37:33'),
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(606,205,2,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','http://hqjXjdQTWdzoVMYItToLQXmtiITtnhYtYKJbmieV',3321.00,'2','2019-08-05 21:14:42'),
(607,206,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://ZzAfYAJEeJfzjuyjyQJWIxqmoFkjqduNJTyLiKaV',145.00,'3','2019-08-05 16:09:18'),
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(780,268,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://gizWklzPzdSeQUaqFdBxJOcWyDwybNIdpsToPiwJ',145.00,'1','2019-08-05 21:35:56'),
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(783,269,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://DqTxEJtZRiqhLkSIKEPlMbUuqtXJnwuHdtImlseu',145.00,'4','2019-08-05 21:55:47'),
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(794,274,6,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','http://lLUsesztxgnVNdemVRwKjOuFRsqyxRSMgwOFIBJP',145.00,'5','2019-08-05 03:32:45'),
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/*Table structure for table `order_info` */
DROP TABLE IF EXISTS `order_info`;
CREATE TABLE `order_info` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '编号',
`consignee` varchar(100) DEFAULT NULL COMMENT '收货人',
`consignee_tel` varchar(20) DEFAULT NULL COMMENT '收件人电话',
`total_amount` decimal(10,2) DEFAULT NULL COMMENT '总金额',
`order_status` varchar(20) DEFAULT NULL COMMENT '订单状态',
`user_id` bigint(20) DEFAULT NULL COMMENT '用户id',
`payment_way` varchar(20) DEFAULT NULL COMMENT '付款方式',
`delivery_address` varchar(1000) DEFAULT NULL COMMENT '送货地址',
`order_comment` varchar(200) DEFAULT NULL COMMENT '订单备注',
`out_trade_no` varchar(50) DEFAULT NULL COMMENT '订单交易编号（第三方支付用)',
`trade_body` varchar(200) DEFAULT NULL COMMENT '订单描述(第三方支付用)',
`create_time` datetime DEFAULT NULL COMMENT '创建时间',
`operate_time` datetime DEFAULT NULL COMMENT '操作时间',
`expire_time` datetime DEFAULT NULL COMMENT '失效时间',
`tracking_no` varchar(100) DEFAULT NULL COMMENT '物流单编号',
`parent_order_id` bigint(20) DEFAULT NULL COMMENT '父订单编号',
`img_url` varchar(200) DEFAULT NULL COMMENT '图片路径',
`province_id` int(20) DEFAULT NULL COMMENT '地区',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=301 DEFAULT CHARSET=utf8 COMMENT='订单表 订单表';
/*Data for the table `order_info` */
insert into `order_info`(`id`,`consignee`,`consignee_tel`,`total_amount`,`order_status`,`user_id`,`payment_way`,`delivery_address`,`order_comment`,`out_trade_no`,`trade_body`,`create_time`,`operate_time`,`expire_time`,`tracking_no`,`parent_order_id`,`img_url`,`province_id`) values
(1,'rWKKvV','13314944890',426.00,'2',82,'1','xEJrQbMHXTyMohXpJnui','JVCZqFcxdbUuolpOZJhT','9172904964','','2019-08-01 11:35:50','2019-08-02 07:22:33',NULL,NULL,NULL,NULL,9),
(2,'pzFDar','13636225917',446.00,'2',76,'2','NpjbETDmBWaqzDqSutKt','NHYVHzBjqconyEBUSEtf','4892440786','','2019-08-01 14:12:07','2019-08-02 00:22:12',NULL,NULL,NULL,NULL,4),
(3,'zrjVaq','13599160218',818.00,'3',49,'1','tsETIHmpOaLEMVsdlXcu','QVfQOuKnlpRqduNJTzPD','4411538466','','2019-08-01 21:39:25','2019-08-05 04:26:04',NULL,NULL,NULL,NULL,9),
(4,'OzhmOk','13664027134',169.00,'3',28,'1','MquXHrNOJPgkJCUPqiTT','OoanmvtHcqxobtLBwJOb','8106426754','','2019-08-01 20:12:43','2019-08-05 03:55:16',NULL,NULL,NULL,NULL,6),
(5,'nvogOE','13590565721',735.00,'3',22,'2','pzBkusETHJgNydTmBYnu','iJHtYIwiBgbQYwlRzWjh','2519585370','','2019-08-01 04:55:56','2019-08-02 19:41:52',NULL,NULL,NULL,NULL,1),
(6,'iAbJdv','13811152455',141.00,'2',71,'2','yJbciJVBTRClAQEANqmp','PcSgbPWoDZlightvZItS','2453154412','','2019-08-01 14:03:54','2019-08-02 17:24:12',NULL,NULL,NULL,NULL,8),
(7,'aSoRri','13866230152',682.00,'3',54,'2','MZLJnmxAirlbCEsXKJrD','SDpMSazvDHADtgCqXRoV','7932916149','','2019-08-01 19:35:02','2019-08-05 06:17:39',NULL,NULL,NULL,NULL,5),
(8,'gUeNzm','13677400806',421.00,'2',81,'1','qbkXfLppDXbsHgMsAyST','OqlijuuPQISqafycRZAD','2781061891','','2019-08-01 07:10:38','2019-08-05 19:41:57',NULL,NULL,NULL,NULL,1),
(9,'lcDIEa','13225902246',920.00,'2',52,'1','zsorSnOcYItXEeHahHNU','ijwJPfjEscgAipYahJWH','4204083148','','2019-08-01 22:46:43','2019-08-02 07:55:24',NULL,NULL,NULL,NULL,8),
(10,'kDnCav','13096376018',698.00,'3',81,'1','cojeVqPfdejKXHrMKqwl','QuCCgVnCWdAriOwQOycN','7203649638','','2019-08-01 21:35:19','2019-08-02 07:23:25',NULL,NULL,NULL,NULL,1),
(11,'ZTvwVp','13788935852',592.00,'2',10,'2','RIQfcUumdDIHkcHgIWKL','znQpbooFiaDNhwMtHgLj','7321398285','','2019-08-01 09:07:03','2019-08-05 19:37:44',NULL,NULL,NULL,NULL,1),
(12,'BwDARI','13814736207',693.00,'2',1,'1','ZWLNKiOtBCfVmyFJrOTc','ESyOyZFbpudkQyVgVieX','4651885115','','2019-08-01 10:07:32','2019-08-05 19:02:51',NULL,NULL,NULL,NULL,3),
(13,'kgaIqE','13990375304',142.00,'2',7,'1','jJQdVpPgkFvpmoJETFte','qqIsQZBIMKqwnYgHUCax','1523222763','','2019-08-01 16:16:33','2019-08-02 13:10:22',NULL,NULL,NULL,NULL,1),
(14,'ohRNpk','13109503788',621.00,'3',50,'2','MguFRuvVrWJtXIxobrJc','wXyCoLQVeMxaLBBbBFvm','9175266175','','2019-08-01 06:38:34','2019-08-02 03:42:06',NULL,NULL,NULL,NULL,9),
(15,'ZcpqLF','13966393174',668.00,'2',3,'1','TNkMdfrrItRcKvXCUQtv','WvpmoLNHXStrCMdfpllv','4889997147','','2019-08-01 04:23:16','2019-08-05 16:21:00',NULL,NULL,NULL,NULL,2),
(16,'JZcony','13545320733',924.00,'2',47,'2','pliitqADsbdmcBzTUTHH','mnJsRjuwXxuEQpbmgVji','2852625905','','2019-08-01 05:27:35','2019-08-05 04:36:29',NULL,NULL,NULL,NULL,5),
(17,'AmMXBQ','13493009507',348.00,'2',40,'1','QvJRsooDbvbTqVJtZSoQ','oWSvDDhZCNhwOCxFHucc','0203776830','','2019-08-01 06:54:45','2019-08-02 18:57:57',NULL,NULL,NULL,NULL,8),
(18,'nwuHdu','13753482448',901.00,'2',92,'1','vkPrrJiWklwCxJLLxdbX','JzyTXhUatPWlpRnRuwaL','5663599173','','2019-08-01 10:34:50','2019-08-02 03:44:54',NULL,NULL,NULL,NULL,7),
(19,'jrhIWK','13616033808',201.00,'3',16,'1','vVrYPeaOTdIgJNVpOaIp','CQuEMWxwPLjMkMhzZyuF','8265916775','','2019-08-01 03:20:00','2019-08-05 13:57:57',NULL,NULL,NULL,NULL,3),
(20,'VFoEeH','13003380806',941.00,'2',81,'2','pLLykDkqaclYlksjSMek','LdiJIuZMMznRvDFnBSLb','0958681334','','2019-08-01 16:49:21','2019-08-05 16:00:48',NULL,NULL,NULL,NULL,9),
(21,'kCeOKg','13411290529',761.00,'2',89,'2','XcvVschDxAlDkpTAVaov','lUNhxOFHwnXYaiMmXeBt','2364014076','','2019-08-01 14:11:37','2019-08-02 01:49:12',NULL,NULL,NULL,NULL,2),
(22,'TmEnAM','13155747496',234.00,'2',6,'2','xcVvppEcznSyNxWrSnOf','iBikAWhVieUlutHdxeaQ','0076021890','','2019-08-01 17:13:38','2019-08-02 17:50:19',NULL,NULL,NULL,NULL,3),
(23,'hJYPcU','13301528336',153.00,'3',59,'2','usJeCyJchEzLhBnIDSFv','ogRMmYhNuIhLiKaYOaJu','9618721193','','2019-08-01 21:54:57','2019-08-05 18:10:06',NULL,NULL,NULL,NULL,9),
(24,'YudiEv','13342797603',525.00,'2',48,'1','NFLRYsTsetIiSOqmoJqJ','yqiTUProufuIexZHjaAA','9401489243','','2019-08-01 20:15:15','2019-08-05 02:48:36',NULL,NULL,NULL,NULL,8),
(25,'oWRvBt','13239573377',460.00,'2',86,'1','bdlURAbHfDCdIhJYQjzT','WbsLzpZewUkpVJvjKXJn','4494527636','','2019-08-01 03:31:23','2019-08-02 03:45:26',NULL,NULL,NULL,NULL,4),
(26,'bFXYYY','13978939573',569.00,'3',56,'1','ZUxJLNFOcWBPvHbmcBAZ','xlNjEthJJBErWIzxQMnd','5631472380','','2019-08-01 05:19:16','2019-08-02 05:14:45',NULL,NULL,NULL,NULL,5),
(27,'FyBmHy','13355192448',911.00,'3',3,'1','dbWDdEOeemULYLHfEFnA','NplhgixODyHRnPiwLngU','0603737671','','2019-08-01 16:30:28','2019-08-05 19:30:46',NULL,NULL,NULL,NULL,6),
(28,'zZxocu','13808076153',338.00,'2',31,'2','LuRWklARHMLxdXFiaBJD','ZjYpEdELPUauVwvPMqsP','9397924550','','2019-08-01 17:49:55','2019-08-05 09:09:29',NULL,NULL,NULL,NULL,1),
(29,'HhNtJa','13185131867',721.00,'2',32,'2','ZfCwzkDiirkYllwzkAXn','ukPuFPmMaSmJvjINQOwR','9024476859','','2019-08-01 14:16:05','2019-08-02 14:56:59',NULL,NULL,NULL,NULL,2),
(30,'VSDlxF','13638320602',291.00,'2',40,'1','EOiAZyvEMVuiITqXRrkY','llwBpWOcWBPyVjhkDkpU','5257343205','','2019-08-01 06:10:42','2019-08-02 19:01:08',NULL,NULL,NULL,NULL,4),
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/*Table structure for table `payment_info` */
DROP TABLE IF EXISTS `payment_info`;
CREATE TABLE `payment_info` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '编号',
`out_trade_no` varchar(20) DEFAULT NULL COMMENT '对外业务编号',
`order_id` varchar(20) DEFAULT NULL COMMENT '订单编号',
`user_id` varchar(20) DEFAULT NULL COMMENT '用户编号',
`alipay_trade_no` varchar(20) DEFAULT NULL COMMENT '支付宝交易流水编号',
`total_amount` decimal(16,2) DEFAULT NULL COMMENT '支付金额',
`subject` varchar(20) DEFAULT NULL COMMENT '交易内容',
`payment_type` varchar(20) DEFAULT NULL COMMENT '支付方式',
`payment_time` varchar(20) DEFAULT NULL COMMENT '支付时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='支付流水表';
/*Data for the table `payment_info` */
/*Table structure for table `sku_info` */
DROP TABLE IF EXISTS `sku_info`;
CREATE TABLE `sku_info` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'skuid(itemID)',
`spu_id` bigint(20) DEFAULT NULL COMMENT 'spuid',
`price` decimal(10,0) DEFAULT NULL COMMENT '价格',
`sku_name` varchar(200) DEFAULT NULL COMMENT 'sku名称',
`sku_desc` varchar(2000) DEFAULT NULL COMMENT '商品规格描述',
`weight` decimal(10,2) DEFAULT NULL COMMENT '重量',
`tm_id` bigint(20) DEFAULT NULL COMMENT '品牌(冗余)',
`category3_id` bigint(20) DEFAULT NULL COMMENT '三级分类id（冗余)',
`sku_default_img` varchar(200) DEFAULT NULL COMMENT '默认显示图片(冗余)',
`create_time` datetime DEFAULT NULL COMMENT '创建时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8 COMMENT='库存单元表';
/*Data for the table `sku_info` */
insert into `sku_info`(`id`,`spu_id`,`price`,`sku_name`,`sku_desc`,`weight`,`tm_id`,`category3_id`,`sku_default_img`,`create_time`) values
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(2,1,3321,'TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）','TCL 55A950C 55英寸32核人工智能 HDR曲面超薄4K电视金属机身（枪色）',15.24,4,86,'http://JfJSvAnPkErYPcUsbgCuokhjxKiLeqpDXakZqFeE','2019-02-14 21:25:54'),
(3,1,3100,'小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面','小米（MI）电视 55英寸曲面4K智能WiFi网络液晶电视机4S L55M5-AQ 小米电视4S 55英寸 曲面',15.24,1,86,'http://LzpblavcZQeYEbwbSjsnmsgAjtpudhDradqsRgdZ','2019-02-14 21:25:54'),
(4,1,1442,'小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机','小米Play 流光渐变AI双摄 4GB+64GB 梦幻蓝 全网通4G 双卡双待 小水滴全面屏拍照游戏智能手机',0.24,1,61,'http://SXlkutIjYpDWWTEpNUiisnlsevOHVElrdngQLgyZ','2019-02-14 21:25:54'),
(5,1,244,'十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg','十月稻田 沁州黄小米 (黄小米 五谷杂粮 山西特产 真空装 大米伴侣 粥米搭档) 2.5kg',2.50,5,803,'http://INNButKuTkslasORPBmHACnJuccfsxmRxNuMznPm','2019-02-14 21:25:54'),
(6,1,145,'北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg','北纯 精制 黄小米（小黄米 月子米 小米粥 粗粮杂粮 大米伴侣）2.18kg',2.20,5,803,'http://lMddjKYNSaxpeAqbkWcxegrrHjayrosVDeLrABhg','2019-02-14 21:25:54'),
(7,1,1553,'荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待','荣耀10青春版 幻彩渐变 2400万AI自拍 全网通版4GB+64GB 渐变蓝 移动联通电信4G全面屏手机 双卡双待',0.24,2,61,'http://IJwhvJSuwaMHaevQQKZUzLkOsvYFiYsRhmLSjpZb','2019-02-14 21:25:54'),
(8,1,8900,'Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待','Apple iPhone XS Max (A2104) 256GB 深空灰色 移动联通电信4G手机 双卡双待',0.24,3,61,'http://RFCTOnWWRtrJdygmPqiUXdBvyhqiTTOnXYagFJDP','2019-02-14 21:25:54'),
(9,1,2452,'荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信','荣耀10 GT游戏加速 AIS手持夜景 6GB+64GB 幻影蓝全网通 移动联通电信',0.24,2,61,'http://hNuKrFXZgFIzzZxnYeCxEDdJlbAwHUCbBChdXAKZ','2019-02-14 21:25:54'),
(10,1,222,'小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用','小米（MI） 小米路由器4 双千兆路由器 无线家用穿墙1200M高速双频wifi 千兆版 千兆端口光纤适用',1.24,1,329,'http://kAXllAQEzJWHwiExxVmyJIABfXyzbKwedeofMqwh','2019-02-14 21:25:54');
/*Table structure for table `user_info` */
DROP TABLE IF EXISTS `user_info`;
CREATE TABLE `user_info` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '编号',
`login_name` varchar(200) DEFAULT NULL COMMENT '用户名称',
`nick_name` varchar(200) DEFAULT NULL COMMENT '用户昵称',
`passwd` varchar(200) DEFAULT NULL COMMENT '用户密码',
`name` varchar(200) DEFAULT NULL COMMENT '用户姓名',
`phone_num` varchar(200) DEFAULT NULL COMMENT '手机号',
`email` varchar(200) DEFAULT NULL COMMENT '邮箱',
`head_img` varchar(200) DEFAULT NULL COMMENT '头像',
`user_level` varchar(200) DEFAULT NULL COMMENT '用户级别',
`birthday` date DEFAULT NULL COMMENT '用户生日',
`gender` varchar(1) DEFAULT NULL COMMENT '性别 M男,F女',
`create_time` datetime DEFAULT NULL COMMENT '创建时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=153 DEFAULT CHARSET=utf8 COMMENT='用户表';
/*Data for the table `user_info` */
insert into `user_info`(`id`,`login_name`,`nick_name`,`passwd`,`name`,`phone_num`,`email`,`head_img`,`user_level`,`birthday`,`gender`,`create_time`) values
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(146,'McdgvMxZJkdOHVIAFzFE','gQNrtTmFoCXhPFHucaYO','pwdXyAgfhuDIEWUIJjazvJU','DknIEXYbjQEyEzNofJhHOYzBlASLfs','13428490567','MtHfFJFX@YZd.com','http://ryuAvAqevSbFTJyzbJpxtAuAqduPOBoStrCMbVzL','1','2004-09-05','F','2019-08-05 20:41:13'),
(147,'CpRmMXBPwLqvhzYwlPtx','gnVOkJQZzzXpIuaRisle','pwdOFKKuRcMzpZcnklyKdnf','MvQUYkdLuQVfOFLLykDmyITwCwBtmg','13919431940','hBlATSFB@QxR.com','http://QFEfOEJpJnvndDJuhBmFqMMznOgqlhbLCCfSYpCT','4','1986-03-07','F','2019-08-05 14:21:14'),
(148,'mZiTVTKSilIJiXlnHywM','tIjXkjmLTkvvQTWanoEg','pwdQNqrJynTJyzbIlhcQWms','dqqJxlMcaTrfAmJJtPTXhUdFRrlcFT','13524666984','IaesCJNN@yfe.com','http://hyTavdelSHJiZwlQtzoVLShhpbmeODDeNButJpvi','3','1985-04-20','F','2019-08-05 22:13:34'),
(149,'jOtztuSeSdKrBKVxAkyO','wQOwSWhTYmoJBIIsQZzy','pwdUbynUIJvbToOcXEfNxaL','BxMrwhuFRtqzyWnzJJCLVxBoQkFwqp','13585434297','bVwwVlvr@zyQ.com','http://KdmbtQWknHywMvRYrPYywLprRhjxOBpUElrcngRQ','3','1987-08-02','M','2019-08-05 11:09:04'),
(150,'YeAnPiwLpqIvbVBTNlOm','UOhwLpqKEQpbpsUvtFWS','pwdwIXQkFtdmXeBwDCdJXRu','yglMdfpljlJufuEQpcrBJEcxegrpxw','13753901525','ZrNMxdXD@Xdx.com','http://dYJzwHYUEmwvQQIQhoYblatTnHzzYtYMMCxJaaaa','1','1993-09-01','F','2019-08-05 06:09:11'),
(151,'fSVbtRZACksiMmXannzH','PeaNPJaZVJviFCUTIJwh','pwdvIdryuzpcpsVzLeqpCRC','kurBFxwRUXdzkFvmXctMDFsYPdVvrx','13285109756','OQLkRDqU@BYn.com','http://saaaZYUDgXufsxizWkkvwVqRmIHkeQSPxRSNmWVQ','2','1967-01-24','F','2019-08-05 06:23:27'),
(152,'HbmhWnBTMdiFALdkPtBy','NwTcIfFKJrFZiRIRlDhe','pwdWxwQOxWrSpTBZvddkMfo','gMtHcsEUJNKprQbKykJCRzaESAXpHn','13421888356','tdiJJAyQ@Kdk.com','http://SJFhTWcxgmSErUBUXbptbaXKHhOwSWhXoBQAeUmC','5','1971-03-11','M','2019-08-05 00:26:55');
/* Function structure for function `rand_num` */
/*!50003 DROP FUNCTION IF EXISTS `rand_num` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` FUNCTION `rand_num`(from_num INT ,to_num INT) RETURNS int(11)
BEGIN
DECLARE i INT DEFAULT 0;
SET i = FLOOR(from_num +RAND()*(to_num -from_num+1)) ;
RETURN i;
END */$$
DELIMITER ;
/* Function structure for function `rand_nums` */
/*!50003 DROP FUNCTION IF EXISTS `rand_nums` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` FUNCTION `rand_nums`(from_num INT ,to_num INT,n INT ,delemit VARCHAR(20)) RETURNS varchar(255) CHARSET utf8
BEGIN
DECLARE i INT DEFAULT 0;
DECLARE v INT DEFAULT 0;
DECLARE return_str VARCHAR(255) DEFAULT '';
WHILE i < n DO
SET v = rand_num (from_num ,to_num ) ;
SET return_str=CONCAT(return_str,v);
IF LENGTH(return_str)>0 THEN
SET return_str=CONCAT(return_str,delemit) ;
END IF;
SET i = i + 1;
END WHILE;
RETURN return_str;
END */$$
DELIMITER ;
/* Function structure for function `rand_num_seed` */
/*!50003 DROP FUNCTION IF EXISTS `rand_num_seed` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` FUNCTION `rand_num_seed`(from_num INT ,to_num INT,seed LONG ) RETURNS int(11)
BEGIN
DECLARE i INT DEFAULT 0;
SET i = FLOOR(from_num +RAND(seed+UNIX_TIMESTAMP(NOW()))*(to_num -from_num+1)) ;
RETURN i;
END */$$
DELIMITER ;
/* Function structure for function `rand_string` */
/*!50003 DROP FUNCTION IF EXISTS `rand_string` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` FUNCTION `rand_string`(n INT) RETURNS varchar(255) CHARSET utf8
BEGIN
DECLARE chars_str VARCHAR(100) DEFAULT 'abcdefghijklmnopqrstuvwxyzABCDEFJHIJKLMNOPQRSTUVWXYZ';
DECLARE return_str VARCHAR(255) DEFAULT '';
DECLARE i INT DEFAULT 0;
WHILE i < n DO
SET return_str =CONCAT(return_str,SUBSTRING(chars_str,FLOOR(1+RAND()*52),1));
SET i = i + 1;
END WHILE;
RETURN return_str;
END */$$
DELIMITER ;
/* Procedure structure for procedure `init_data` */
/*!50003 DROP PROCEDURE IF EXISTS `init_data` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` PROCEDURE `init_data`( do_date_string VARCHAR(20) ,order_incr_num INT,user_incr_num INT ,if_truncate BOOLEAN )
BEGIN
DECLARE user_count INT DEFAULT 0;
DECLARE sku_count INT DEFAULT 0;
DECLARE do_date VARCHAR(20) DEFAULT do_date_string;
IF if_truncate THEN
TRUNCATE TABLE order_info ;
TRUNCATE TABLE order_detail ;
TRUNCATE TABLE payment_info ;
END IF ;
IF user_incr_num >0 THEN
CALL insert_user(do_date,user_incr_num,FALSE );
END IF;
SELECT COUNT(*) INTO user_count FROM user_info;
CALL update_order(do_date);
CALL insert_order(do_date,order_incr_num,user_count);
CALL insert_payment(do_date);
END */$$
DELIMITER ;
/* Procedure structure for procedure `insert_order` */
/*!50003 DROP PROCEDURE IF EXISTS `insert_order` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` PROCEDURE `insert_order`( create_time_string VARCHAR(200),max_num INT,user_num INT )
BEGIN
DECLARE v_create_time DATETIME DEFAULT NULL;
DECLARE i INT DEFAULT 0;
DECLARE v_order_status INT DEFAULT 0;
DECLARE v_operate_time DATETIME DEFAULT NULL;
DECLARE v_order_id INT DEFAULT NULL;
DECLARE v_order_detail_num INT DEFAULT NULL;
DECLARE j INT DEFAULT 0;
Declare v_province int DEFAULT 0;
DECLARE v_skuid VARCHAR(20) DEFAULT NULL;
DECLARE v_skuname VARCHAR(20) DEFAULT NULL;
SET autocommit = 0;
REPEAT
SET i = i + 1;
SET v_create_time=DATE_ADD(DATE_FORMAT(create_time_string,'%Y-%m-%d') ,INTERVAL rand_num(30,3600*23) SECOND);
set v_province= rand_num(1,9);
SET v_order_status=rand_num(1,2);
IF v_order_status>1 THEN
SET v_operate_time= DATE_ADD(v_create_time ,INTERVAL rand_num(30,3600) SECOND);
ELSE
SET v_operate_time=NULL ;
END IF ;
INSERT INTO order_info (consignee, consignee_tel,total_amount ,order_status ,user_id,payment_way,delivery_address,order_comment,out_trade_no,trade_body,create_time,operate_time,expire_time, tracking_no,parent_order_id ,img_url, province_id)
VALUES (rand_string(6) , CONCAT('13',rand_nums(0,9,9,'')),CAST(rand_num(50,1000) AS DECIMAL(10,2)) ,v_order_status ,rand_num(1,user_num), rand_num(1,2),rand_string(20),rand_string(20),rand_nums(0,9,10,''),'',v_create_time, v_operate_time,NULL,NULL,NULL,NULL ,v_province);
SELECT LAST_INSERT_ID() INTO v_order_id ;
SET v_order_detail_num=rand_num(1,5);
WHILE j<v_order_detail_num DO
SET j=j+1;
SET v_skuid= rand_num(1,11) ;
INSERT INTO order_detail (order_id , sku_id,sku_name ,img_url ,order_price,sku_num,create_time )
select v_order_id ,id,sku_name,CONCAT('http://',rand_string(40)),price,rand_num(1,5) ,v_create_time from sku_info where id=v_skuid;
END WHILE;
SET j=0;
UNTIL i = max_num
END REPEAT;
COMMIT;
END */$$
DELIMITER ;
/* Procedure structure for procedure `insert_payment` */
/*!50003 DROP PROCEDURE IF EXISTS `insert_payment` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` PROCEDURE `insert_payment`( do_date_str VARCHAR(200) )
BEGIN
INSERT INTO payment_info (out_trade_no,order_id,user_id,alipay_trade_no,total_amount,`subject`,payment_type,payment_time )
SELECT o.out_trade_no,o.id,user_id,
CONCAT( rand_string(4),'-',rand_nums(0,9,8,'')) alipay_trade_no,
o.total_amount,
rand_string(8) `subject`,
( CASE rand_num(1,3) WHEN 1 THEN 'wechatpay' WHEN 2 THEN 'alipay' WHEN 3 THEN 'unionpay' END) payment_type ,
IF(o.operate_time IS NULL,o.create_time,o.operate_time) payment_time
FROM order_info o
WHERE (DATE_FORMAT(o.create_time,'%Y-%m-%d')= do_date_str OR DATE_FORMAT(o.operate_time,'%Y-%m-%d')= do_date_str ) AND o.order_status='2';
COMMIT;
END */$$
DELIMITER ;
/* Procedure structure for procedure `insert_sku` */
/*!50003 DROP PROCEDURE IF EXISTS `insert_sku` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` PROCEDURE `insert_sku`( create_time_string VARCHAR(200),max_num INT )
BEGIN
DECLARE v_create_time DATETIME DEFAULT NULL;
DECLARE i INT DEFAULT 0;
SET autocommit = 0;
REPEAT
SET i = i + 1;
SET v_create_time=DATE_ADD(DATE_FORMAT(create_time_string,'%Y-%m-%d') ,INTERVAL rand_num(1,3600*24) SECOND);
INSERT INTO sku_info (spu_id,price,sku_name,sku_desc,weight,tm_id,category3_id,sku_default_img,create_time )
VALUES (rand_num(1,1000) ,rand_num(10,5000) , rand_string(20), rand_string(30),CAST(rand_num(50,500) AS DECIMAL(10,2))/100.0 ,rand_num(1,100), rand_num(1,5000),CONCAT('http://',rand_string(40)), v_create_time );
UNTIL i = max_num
END REPEAT;
COMMIT;
END */$$
DELIMITER ;
/* Procedure structure for procedure `insert_user` */
/*!50003 DROP PROCEDURE IF EXISTS `insert_user` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` PROCEDURE `insert_user`( create_time_string VARCHAR(200),max_num INT,if_truncate boolean )
BEGIN
DECLARE v_create_time DATETIME DEFAULT NULL;
DECLARE i INT DEFAULT 0;
DECLARE v_birthday DATE DEFAULT now();
DECLARE v_gender VARCHAR(1) DEFAULT NULL;
SET autocommit = 0;
IF if_truncate THEN
TRUNCATE user_info;
END IF;
REPEAT
SET i = i + 1;
SET v_create_time=DATE_ADD(DATE_FORMAT(create_time_string,'%Y-%m-%d') ,INTERVAL rand_num(1,3600*24) SECOND);
SET v_birthday=DATE_ADD(DATE_FORMAT('1960-01-01','%Y-%m-%d') ,INTERVAL rand_num(1,365*50) DAY);
SET v_gender=IF(rand_num(0,1)=0,'M','F');
INSERT INTO user_info (login_name,nick_name,passwd,NAME,phone_num,email,head_img,user_level,birthday,gender,create_time )
VALUES (rand_string(20) ,rand_string(20) , CONCAT('pwd',rand_string(20)), rand_string(30), CONCAT('13',rand_nums(0,9,9,'')) ,CONCAT(rand_string(8),'@',rand_string(3),'.com') , CONCAT('http://',rand_string(40)), rand_num(1,5),v_birthday,v_gender,v_create_time );
UNTIL i = max_num
END REPEAT;
COMMIT;
END */$$
DELIMITER ;
/* Procedure structure for procedure `update_order` */
/*!50003 DROP PROCEDURE IF EXISTS `update_order` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` PROCEDURE `update_order`(operate_time_string VARCHAR(20))
BEGIN
DECLARE v_operate_time DATETIME DEFAULT NULL;
SET v_operate_time=DATE_FORMAT(operate_time_string,'%Y-%m-%d');
UPDATE order_info o SET o.`order_status`=o.`order_status`+rand_num_seed(0,1,o.id) ,operate_time= IF( rand_num_seed(0,1,o.id) >0 , DATE_ADD(v_operate_time ,INTERVAL rand_num(30,20*3600) SECOND),operate_time)
WHERE o.`order_status`<5;
END */$$
DELIMITER ;
/* Procedure structure for procedure `update_user` */
/*!50003 DROP PROCEDURE IF EXISTS `update_user` */;
DELIMITER $$
/*!50003 CREATE DEFINER=`root`@`%` PROCEDURE `update_user`()
BEGIN
UPDATE user_info u SET u.`user_level`=u.`user_level`+rand_num(0,1) ,gender= IF( rand_num(0,1) >0 , if(rand_num(0,1) =0,'F','M'), gender);
END */$$
DELIMITER ;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
CALL init_data('20230215',100,30,TRUE)
ODS层同步
建表
同样的，为了让Mysql的数据和DataWorks的表进行同步，首先要创建出对应的分层表。这里是ODS层的演示
新建个临时查询，进行创建表
CREATE TABLE ods_order_info_di (
`id` string COMMENT '订单编号',
`total_amount` double COMMENT '订单金额',
`order_status` string COMMENT '订单状态',
`user_id` string COMMENT '用户 id',
`payment_way` string COMMENT '支付方式',
`out_trade_no` string COMMENT '支付流水号',
`create_time` string COMMENT '创建时间',
`operate_time` string COMMENT '操作时间',
`province_id` string COMMENT '省份'
)
COMMENT '订单表'
PARTITIONED BY (ds string);
CREATE TABLE ods_order_detail_di (
`id` string COMMENT '明细 id',
`order_id` string COMMENT '订单 id',
`sku_id` string COMMENT '商品 id',
`sku_name` string COMMENT '商品名称',
`order_price` double COMMENT '购买价格',
`sku_num` bigint COMMENT '购物数量',
`create_time` string COMMENT '创建时间'
)
COMMENT '订单明细' PARTITIONED BY (ds string);
CREATE TABLE ods_sku_info_df (
`id` string COMMENT 'skuid',
`spu_id` string COMMENT 'spuid',
`price` double COMMENT '价格',
`sku_name` string COMMENT '商品名称',
`sku_desc` string COMMENT '商品描述',
`weight` double COMMENT '重量(千克)',
`tm_id` string COMMENT '品牌 id',
`category3_id` string COMMENT '品类 id',
`create_time` string COMMENT '创建时间'
)
COMMENT '商品信息' PARTITIONED BY (ds string);
CREATE TABLE ods_user_info_df (
`id` string COMMENT '用户 id',
`name` string COMMENT '姓名',
`birthday` string COMMENT '生日',
`gender` string COMMENT '性别',
`email` string COMMENT '邮箱',
`user_level` string COMMENT '用户等级',
`create_time` string COMMENT '创建时间'
)
COMMENT '用户信息' PARTITIONED BY (ds string);
CREATE TABLE ods_base_category3_df (
`id` string COMMENT '三级品类 id',
`name` string COMMENT '名称',
`category2_id` string COMMENT '二级品类 id'
)
COMMENT '三级品类信息' PARTITIONED BY (ds string);
CREATE TABLE ods_base_trademark_df (
`tm_id` string COMMENT '品牌 id',
`tm_name` string COMMENT '名称'
)
COMMENT '品牌信息' PARTITIONED BY (ds string);
CREATE TABLE `ods_base_category1_df` (
`id` string COMMENT '一级品类 id',
`name` string COMMENT '名称'
)
COMMENT '一级品类信息' PARTITIONED BY (ds string);
CREATE TABLE ods_base_category2_df (
`id` string COMMENT '二级品类 id',
`name` string COMMENT '名称',
`category1_id` string COMMENT '一级品类 id'
)
COMMENT '二级品类信息' PARTITIONED BY (ds string);
CREATE TABLE ods_payment_info_di (
`id` bigint COMMENT '编号',
`out_trade_no` string COMMENT '对外业务编号',
`order_id` string COMMENT '订单编号',
`user_id` string COMMENT '用户编号',
`alipay_trade_no` string COMMENT '支付宝交易流水编号',
`total_amount` double COMMENT '支付金额',
`subject` string COMMENT '交易内容',
`payment_type` string COMMENT '支付类型',
`payment_time` string COMMENT '支付时间'
)
COMMENT '支付流水表' PARTITIONED BY (ds string);
CREATE TABLE ods_base_region_df (
`id` bigint COMMENT '地区 id',
`region_name` string COMMENT '地区名称'
)
COMMENT '地区'
PARTITIONED BY (ds string);
CREATE TABLE ods_base_province_df (
`id` bigint COMMENT '品牌 id',
`name` string COMMENT '名称',
`region_id` bigint COMMENT '地区 id'
)
COMMENT '省份'
PARTITIONED BY (ds string);
建立数据同步节点
每日全量表同步
这里用ods_user_info这个表的同步举例，在数据集成处创建同步节点，这样后续流程蓝图中就可以看到这个节点
选择数据源，这里指定上上述的Mysql数据源
数据源创建好了，就在同步节点上设置同步
选择资源组，资源组是运行同步任务的节点，由于企业开发中同步任务是巨大的，需要购买算力大的节点。但这里咱们为了省钱，就用免费的调试资源组
运行并在临时查询中查看同步情况
重复上述执行步骤，依次导入：ods_base_category1、ods_base_category2、ods_base_category3、 ods_base_province、ods_base_region、ods_base_trademark、ods_sku_info
每日增量表同步
每日新增的表包括：ods_order_detail
步骤和全量表一样的，就是设置同步时要注意下数据过滤
DATE_FORMAT(create_time,'%Y%m%d')='${bizdate}';
每日新增及变化表同步
每日新增及变化表包括：ods_order_info
步骤和全量表一样的，就是设置同步时要注意下数据过滤
DATE_FORMAT(create_time,'%Y%m%d')='${bizdate}' or DATE_FORMAT(operate_time,'%Y%m%d')='${bizdate}'
流程蓝图查看
数据同步节点创建好了，流程蓝图就可以看到同步节点，选择这个虚拟节点，通过箭头连线成为所有同步节点的父节点（虚拟节点不承担具体业务逻辑，但可以作为父节点，方便在选择虚拟节点的”运行及下游“时，批量运行整个流程）
DWD层导入
DWD 层，一般是对 ODS 层数据进行一定的清洗加工，如果是面对关系导入过来的数据表，还要把原本的关系型表结构，进行一定程度的维度退化。作为更易处理的明细数据。比如：
ODS 地区 + ODS 省份=> DWD 省份地区
建表
新建个临时查询，进行创建表
CREATE TABLE dwd_order_info_di (
`id` string COMMENT '订单 id',
`total_amount` double COMMENT '订单总额',
`order_status` string COMMENT ' 1 未支付 2 已支付 3 已发货 4 已
收货 5 完成',
`user_id` string COMMENT '用户 id',
`payment_way` string COMMENT '付款方式',
`out_trade_no` string COMMENT '订单流失号',
`province_id` string COMMENT '省市 id',
`create_time` string COMMENT '创建时间',
`operate_time` string COMMENT '修改时间'
)
COMMENT '订单表'
PARTITIONED BY (ds string);
CREATE TABLE dwd_order_detail_di (
`id` string COMMENT '明细 id',
`order_id` string COMMENT '订单 id',
`user_id` string COMMENT '用户 id',
`sku_id` string COMMENT '商品 id',
`sku_name` string COMMENT '商品名称',
`order_price` string COMMENT '购买价格',
`sku_num` string COMMENT '购物数量',
`province_id` string COMMENT '省市 id',
`create_time` string COMMENT '创建时间'
)
COMMENT '订单明细'
PARTITIONED BY (ds string);
CREATE TABLE dim_sku_info_df (
`id` string COMMENT '商品 id',
`spu_id` string COMMENT 'spuid',
`price` double COMMENT '商品价格',
`sku_name` string COMMENT '商品名称',
`sku_desc` string COMMENT '商品描述',
`weight` double COMMENT '重量',
`tm_id` string COMMENT '品牌 id',
`tm_name` string COMMENT '品牌名称',
`category3_id` string COMMENT '三级分类 id',
`category2_id` string COMMENT '二级分类 id',
`category1_id` string COMMENT '一级分类 id',
`category3_name` string COMMENT '三级分类名称',
`category2_name` string COMMENT '二级分类名称',
`category1_name` string COMMENT '一级分类名称',
`create_time` string COMMENT '创建时间'
)
COMMENT '商品表信息' PARTITIONED BY (ds string);
CREATE TABLE dim_user_info_df (
`id` string COMMENT 'id',
`name` string COMMENT '用户名称',
`birthday` string COMMENT '生日',
`gender` string COMMENT '性别',
`email` string COMMENT '邮箱',
`user_level` string COMMENT '等级',
`create_time` string COMMENT '注册时间'
)
COMMENT '用户信息表' PARTITIONED BY (ds string);
CREATE TABLE dim_base_province_df (
`id` string COMMENT 'id',
`province_name` string COMMENT '省市名称',
`region_id` string COMMENT '地区 id',
`region_name` string COMMENT '地区名称'
)
COMMENT '地区省市表' PARTITIONED BY (ds string);
表管理中可以看到创建的表
建立数据导入节点
DWD所有表的数据导入SQL，对应上述创建的5个DWD表
INSERT OVERWRITE TABLE dwd_order_info_di PARTITION (ds)
SELECT id
,total_amount
,order_status
,user_id
,payment_way
,out_trade_no
,province_id
,create_time
,operate_time
,ds
FROM ods_order_info_di
WHERE ds = '20230215'
AND id IS NOT NULL
;
INSERT OVERWRITE TABLE dwd_order_detail_di PARTITION (ds)
SELECT od.id
,order_id
,oi.user_id
,sku_id
,sku_name
,order_price
,sku_num
,oi.province_id
,od.create_time
,od.ds
FROM ods_order_detail_di od
JOIN ods_order_info_di oi
ON od.order_id = oi.id
AND oi.ds = '20230215'
AND od.ds = '20230215'
AND od.id IS NOT NULL
;
INSERT OVERWRITE TABLE dim_sku_info_df PARTITION (ds)
SELECT sku.id
,sku.spu_id
,sku.price
,sku.sku_name
,sku.sku_desc
,sku.weight
,sku.tm_id
,tm.tm_name
,sku.category3_id
,c2.id category2_id
,c1.id category1_id
,c3.name category3_name
,c2.name category2_name
,c1.name category1_name
,sku.create_time
,sku.ds
FROM (
SELECT *
FROM ods_sku_info_df
WHERE ds = '20230215'
AND id IS NOT NULL
) sku
JOIN ods_base_category3_df c3
ON sku.category3_id = c3.id
AND c3.ds = '20230215'
JOIN ods_base_category2_df c2
ON c3.category2_id = c2.id
AND c2.ds = '20230215'
JOIN ods_base_category1_df c1
ON c2.category1_id = c1.id
AND c1.ds = '20230215'
JOIN ods_base_trademark_df tm
ON tm.tm_id = sku.tm_id
AND tm.ds = '20230215'
;
INSERT OVERWRITE TABLE dim_user_info_df PARTITION (ds)
SELECT id
,name
,birthday
,gender
,email
,user_level
,create_time
,ds
FROM ods_user_info_df
WHERE ds = '20230215'
AND id IS NOT NULL
;
INSERT OVERWRITE TABLE dim_base_province_df PARTITION (ds)
SELECT p.id
,p.name
,p.region_id
,r.region_name
,p.ds
FROM ods_base_province_df p
JOIN ods_base_region_df r
ON p.region_id = r.id
AND p.ds = '20230215'
AND r.ds = '20230215'
;
DWD表很多，此时就不是数据同步了，而是从ODS层将数据导入到DWD层（数据导入–>ODPS SQL–>选择该表对应的insert语句）
下图是dwd_order_info_di的举例，其他DWD表一样的
流程蓝图查看
为所有DWD表创建好了数据导入节点，然后继续为DWD导入节点进行流程图连线
DWS层导入
DWS 层主要指针对明细粒度的数据进行短周期的汇总。DWS 公共汇总层是面向分析对象的主题聚集建模。
最终的分析目标为：最近一天某个类目、某个地区、某类人群购买商品的销售总额、购买力分布。因此，我们可以以最终交易成功的商品、买家、地区等角度对最近一天的数据进行组合，组合成为涵盖多个维度的事实宽表。
建表
CREATE TABLE dws_trade_detail_di
(
`user_id` STRING COMMENT '用户 id'
,`sku_id` STRING COMMENT '商品 Id'
,`user_gender` STRING COMMENT '用户性别'
,`user_age` STRING COMMENT '用户年龄'
,`user_level` STRING COMMENT '用户等级'
,`sku_price` DOUBLE COMMENT '商品当日价格'
,`sku_name` STRING COMMENT '商品名称'
,`sku_category3_id` STRING COMMENT '商品三级品类id'
,`sku_category2_id` STRING COMMENT '商品二级品类id'
,`sku_category1_id` STRING COMMENT '商品一级品类id'
,`sku_category3_name` STRING COMMENT '商品三级品类名称'
,`sku_category2_name` STRING COMMENT '商品二级品类名称'
,`sku_category1_name` STRING COMMENT '商品一级品类名称'
,`spu_id` STRING COMMENT '商品 spu'
,`tm_id` STRING COMMENT '品牌 id'
,`tm_name` STRING COMMENT '品牌名称'
,`province_id` STRING COMMENT '省市 id'
,`province_name` STRING COMMENT '省市名称'
,`region_id` STRING COMMENT '地区 id'
,`region_name` STRING COMMENT '地区名称'
,`sku_num` DOUBLE COMMENT '购买个数'
,`order_count` BIGINT COMMENT '当日下单单数'
,`order_amount` DOUBLE COMMENT '当日下单金额'
)
COMMENT '用户单日交易行为宽表'
PARTITIONED BY
(
ds STRING
)
;
建立数据导入节点
后续DWS层和ADS层的导入与DWD层的导入一样的
所有DWS层的数据导入SQL
WITH tmp_trade AS
(
SELECT od.user_id
,od.sku_id
,od.province_id
,SUM(sku_num) sku_num
,COUNT(*) order_count
,SUM(od.order_price * sku_num) order_amount
FROM dwd_order_detail_di od
WHERE od.ds = '20230215'
GROUP BY od.user_id
,od.sku_id
,od.province_id
)
INSERT OVERWRITE TABLE dws_trade_detail_di PARTITION (ds = '20230215')
SELECT tmp_trade.user_id
,tmp_trade.sku_id
,u.gender
,MONTHS_BETWEEN(TO_CHAR(TO_DATE('20230215','yyyymmdd'),'yyyy-mm-dd'),u.birthday) / 12 age
,u.user_level
,price
,sku_name
,category3_id
,category2_id
,category1_id
,category3_name
,category2_name
,category1_name
,spu_id
,tm_id
,tm_name
,p.id
,p.province_name
,p.region_id
,p.region_name
,tmp_trade.sku_num
,tmp_trade.order_count
,tmp_trade.order_amount
FROM tmp_trade
LEFT JOIN dim_user_info_df u
ON u.id = tmp_trade.user_id
AND u.ds = '20230215'
LEFT JOIN dim_sku_info_df s
ON tmp_trade.sku_id = s.id
AND s.ds = '20230215'
LEFT JOIN dim_base_province_df p
ON tmp_trade.province_id = p.id
AND p.ds = '20230215'
;
流程蓝图查看
箭头连线，组流程
ADS层导入
ADS 层主要指针对某一个特定的维度进行的汇总。
主要分析三个需求：用户各个年龄段统计、地区销售统计、热门商品排行所以主要是针对年龄、地区、商品进行汇总统计，统计四个指标下单数、购买商品个数、销售额、平均客单价。
建表
CREATE TABLE ads_trade_age_d
(
`age` DOUBLE COMMENT '年龄'
,`sku_num` DOUBLE COMMENT '购买商品个数'
,`order_count` BIGINT COMMENT '订单个数'
,`order_amount` DOUBLE COMMENT '销售额'
,`avg_amount` DOUBLE COMMENT '平均客单价'
)
COMMENT '年龄销售统计'
PARTITIONED BY
(
ds STRING
)
;
CREATE TABLE ads_trade_province_d
(
`province` STRING COMMENT '省份 id'
,`province_name` STRING COMMENT '省市名称'
,`region_id` STRING COMMENT '地区 ID'
,`region_name` STRING COMMENT '地区名称'
,`sku_num` DOUBLE COMMENT '购买商品个数'
,`order_count` BIGINT COMMENT '订单个数'
,`order_amount` DOUBLE COMMENT '销售额'
,`avg_amount` DOUBLE COMMENT '平均客单价'
)
COMMENT '地区销售统计'
PARTITIONED BY
(
ds STRING
)
;
CREATE TABLE ads_trade_sku_d
(
`sku_id` STRING COMMENT '商品 id'
,`sku_name` STRING COMMENT '商品名称'
,`sku_num` DOUBLE COMMENT '购买商品个数'
,`category3_id` STRING COMMENT '三级分类 id'
,`category2_id` STRING COMMENT '二级分类 id'
,`category1_id` STRING COMMENT '一级分类 id'
,`category3_name` STRING COMMENT '三级分类名称'
,`category2_name` STRING COMMENT '二级分类名称'
,`category1_name` STRING COMMENT '一级分类名称'
,`order_count` BIGINT COMMENT '订单个数'
,`order_amount` DOUBLE COMMENT '销售额'
,`avg_amount` DOUBLE COMMENT '平均客单价'
)
COMMENT '商品销售统计'
PARTITIONED BY
(
ds STRING
)
;
建立数据导入节点
所有ADS层的数据导入SQL
INSERT OVERWRITE TABLE ads_trade_age_d PARTITION (ds = '20230215')
SELECT round(td.user_age) age
,SUM(sku_num) sku_num
,SUM(order_count) order_count
,SUM(order_amount) order_amount
,round(AVG(order_amount),2) avg_amount
FROM dws_trade_detail_di td
WHERE ds = '20230215'
GROUP BY round(td.user_age)
;
INSERT OVERWRITE TABLE ads_trade_province_d PARTITION (ds = '20230215')
SELECT td.province_id
,td.province_name
,td.region_id
,td.region_name
,SUM(sku_num) sku_num
,SUM(order_count) order_count
,SUM(order_amount) order_amount
,round(AVG(order_amount),2) avg_amount
FROM dws_trade_detail_di td
WHERE ds = '20230215'
GROUP BY td.province_id
,td.province_name
,td.region_id
,td.region_name
;
INSERT OVERWRITE TABLE ads_trade_sku_d PARTITION (ds = '20230215')
SELECT td.sku_id
,td.sku_name
,td.sku_category3_id
,td.sku_category2_id
,td.sku_category1_id
,td.sku_category3_name
,td.sku_category2_name
,td.sku_category1_name
,SUM(sku_num) sku_num
,SUM(order_count) order_count
,SUM(order_amount) order_amount
,round(AVG(order_amount),2) avg_amount
FROM dws_trade_detail_di td
WHERE ds = '20230215'
GROUP BY td.sku_id
,td.sku_name
,td.sku_category3_id
,td.sku_category2_id
,td.sku_category1_id
,td.sku_category3_name
,td.sku_category2_name
,td.sku_category1_name
;
流程蓝图查看
箭头连线，组流程
数据导出回Mysql
现在整个DataWorks从Mysql同步数据并将ODS层数据逐步导入到DWD、DWS、ADS层的表中，整个MaxCompute的计算完毕，最后把ADS层数据在放回Mysql（ADS层是MaxCompute层层计算出来的业务数据，一般需要给别的系统使用的，所以要放回Mysql）
Mysql建表
首先先在Mysql建立三张表来存放业务数据ADS层的三张表数据，还有一张表用来存放日志数据ADS层的一张表数据，一共四张表。这里还是在cm_study_dataworks这个数据库
CREATE TABLE uv_source_d
(
`source` varchar(20) NOT NULL COMMENT '渠道',
`ct` bigint(20) DEFAULT NULL COMMENT '个数',
`ds` varchar(8) NOT NULL COMMENT '日期',
PRIMARY KEY (`source`, `ds`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='渠道日活';
CREATE TABLE trade_age_d
(
`age` DOUBLE NOT NULL COMMENT '年龄',
`sku_num` DOUBLE DEFAULT NULL COMMENT '购买商品个数',
`order_count` BIGINT(20) DEFAULT NULL COMMENT '订单个数',
`order_amount` DECIMAL(16, 2) DEFAULT NULL COMMENT '销售额',
`avg_amount` DECIMAL(10, 2) DEFAULT NULL COMMENT '平均客单价',
`ds` VARCHAR(20) NOT NULL COMMENT '日期',
PRIMARY KEY (`age`, `ds`)
) ENGINE=INNODB DEFAULT CHARSET=utf8 COMMENT='年龄销售统计';
CREATE TABLE trade_province_d
(
province_id VARCHAR(20) NOT NULL COMMENT '省市 id',
province_name VARCHAR(20) COMMENT '省市名称',
region_id VARCHAR(20) COMMENT '地区 ID',
region_name VARCHAR(20) COMMENT '地区名称',
sku_num DOUBLE COMMENT '购买商品个数',
order_count BIGINT COMMENT '订单个数',
order_amount DECIMAL(16, 2) COMMENT '销售额',
avg_amount DECIMAL(10, 2) COMMENT '平均客单价',
ds VARCHAR(20) NOT NULL COMMENT '日期',
PRIMARY KEY (`province_id`, `ds`)
)ENGINE=INNODB DEFAULT CHARSET=utf8
COMMENT '地区销售统计';
CREATE TABLE trade_sku
(
`sku_id` VARCHAR(20) NOT NULL COMMENT '商品 id',
`sku_name` VARCHAR(200) DEFAULT NULL COMMENT '商品名称',
`sku_num` DOUBLE DEFAULT NULL COMMENT '购买商品个数',
`category3_id` VARCHAR(20) COMMENT '三级分类 id',
`category2_id` VARCHAR(20) COMMENT '二级分类 id',
`category1_id` VARCHAR(20) COMMENT '一级分类 id',
`category3_name` VARCHAR(20) COMMENT '三级分类名称',
`category2_name` VARCHAR(20) COMMENT '二级分类名称',
`category1_name` VARCHAR(20) COMMENT '一级分类名称',
`order_count` BIGINT(20) DEFAULT NULL COMMENT '订单个数',
`order_amount` DECIMAL(16, 2) DEFAULT NULL COMMENT '销售额',
`avg_amount` DECIMAL(10, 2) DEFAULT NULL COMMENT '平均客单价',
`ds` VARCHAR(20) NOT NULL COMMENT '日期',
PRIMARY KEY (`sku_id`, `ds`)
) ENGINE=INNODB DEFAULT CHARSET=utf8 COMMENT='商品销售统计';
数据导出节点
在数据集成处创建离线同步节点，类似于上述ODS层的数据同步节点
这里以ads_trade_sku这个ADS表为例，其他3张ADS表一样的
设置好数据源、源表和目标表、字段映射
设置ds字段，ADS表的ds字段用来做分区的，Mysql目标表的ds字段是个数据字段，所以同名映射时不会将分区字段和目标表的数据字段进行映射，咱们手动映射下
重复上述步骤，为所有4张ADS表进行导出节点设置，并进行流程图连线
流程蓝图总览
最终整个业务流程图如下，左上角是最初的日志数据的相关业务流程，想运行整个流程可以选择最顶上父节点的”运行节点及下游“
QuickBI可视化
QuickBI要钱的，没钱就不演示了😂😂😂
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