电商数仓笔记7_数据仓库系统（数仓搭建-DWD层，数仓搭建-DWS层，数仓搭建-DWT层，数仓搭建-ADS层）
电商数仓
- 一、数仓搭建-DWD层
- 1、 DWD层（用户行为日志）
- （1）日志解析思路
- （2）get_json_object函数使用
- （3）启动日志表
- （4）页面日志表
- （5）动作日志表
- （6）曝光日志表
- （7）错误日志表
- （8）DWD层用户行为数据加载脚本
- 2、DWD层（业务数据）
- （1）DWD层业务数据首日装载脚本
- （2）DWD层业务数据每日装载脚本
-
- 二、数仓搭建-DWS层
- 1、系统函数
- （1）nvl函数
- （2）日期处理函数
- （3）复杂数据类型定义
- 2、DWS层
- （1）DWS层首日数据装载脚本
- （2）DWS层每日数据装载脚本
-
- 三、数仓搭建-DWT层
- （1）DWT层首日数据导入脚本
- （2）DWT层每日数据导入脚本
- 四、数仓搭建-ADS层
- 1、ADS层业务数据导入脚本
一、数仓搭建-DWD层
- 1）对用户行为数据解析。
- 2）对业务数据采用维度模型重新建模。
1、 DWD层（用户行为日志）
（1）日志解析思路
1）日志结构回顾
（1）页面埋点日志
（2）启动日志
2）日志解析思路
（2）get_json_object函数使用
1）数据
[{"name":"大郎","sex":"男","age":"25"},{"name":"西门庆","sex":"男","age":"47"}]
2）取出第一个json对象
hive (gmall)>
select get_json_object('[{"name":"大郎","sex":"男","age":"25"},{"name":"西门庆","sex":"男","age":"47"}]','$[0]');
结果是：{"name":"大郎","sex":"男","age":"25"}
3）取出第一个json的age字段的值
hive (gmall)>
SELECT get_json_object('[{"name":"大郎","sex":"男","age":"25"},{"name":"西门庆","sex":"男","age":"47"}]',"$[0].age");
结果是：25
（3）启动日志表
- 启动日志解析思路：启动日志表中每行数据对应一个启动记录，一个启动记录应该包含日志中的公共信息和启动信息。先将所有包含start字段的日志过滤出来，然后使用get_json_object函数解析每个字段。
1）建表语句
DROP TABLE IF EXISTS dwd_start_log;
CREATE EXTERNAL TABLE dwd_start_log(
`area_code` STRING COMMENT '地区编码',
`brand` STRING COMMENT '手机品牌',
`channel` STRING COMMENT '渠道',
`is_new` STRING COMMENT '是否首次启动',
`model` STRING COMMENT '手机型号',
`mid_id` STRING COMMENT '设备id',
`os` STRING COMMENT '操作系统',
`user_id` STRING COMMENT '会员id',
`version_code` STRING COMMENT 'app版本号',
`entry` STRING COMMENT 'icon手机图标 notice 通知 install 安装后启动',
`loading_time` BIGINT COMMENT '启动加载时间',
`open_ad_id` STRING COMMENT '广告页ID ',
`open_ad_ms` BIGINT COMMENT '广告总共播放时间',
`open_ad_skip_ms` BIGINT COMMENT '用户跳过广告时点',
`ts` BIGINT COMMENT '时间'
) COMMENT '启动日志表'
PARTITIONED BY (`dt` STRING) -- 按照时间创建分区
STORED AS PARQUET -- 采用parquet列式存储
LOCATION '/warehouse/gmall/dwd/dwd_start_log' -- 指定在HDFS上存储位置
TBLPROPERTIES('parquet.compression'='lzo') -- 采用LZO压缩
;
2）数据导入
hive (gmall)>
insert overwrite table dwd_start_log partition(dt='2020-06-14')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.start.entry'),
get_json_object(line,'$.start.loading_time'),
get_json_object(line,'$.start.open_ad_id'),
get_json_object(line,'$.start.open_ad_ms'),
get_json_object(line,'$.start.open_ad_skip_ms'),
get_json_object(line,'$.ts')
from ods_log
where dt='2020-06-14'
and get_json_object(line,'$.start') is not null;
3）查看数据
hive (gmall)>
select * from dwd_start_log where dt='2020-06-14' limit 2;
（4）页面日志表
- 页面日志解析思路：页面日志表中每行数据对应一个页面访问记录，一个页面访问记录应该包含日志中的公共信息和页面信息。先将所有包含page字段的日志过滤出来，然后使用get_json_object函数解析每个字段。
1）建表语句
DROP TABLE IF EXISTS dwd_page_log;
CREATE EXTERNAL TABLE dwd_page_log(
`area_code` STRING COMMENT '地区编码',
`brand` STRING COMMENT '手机品牌',
`channel` STRING COMMENT '渠道',
`is_new` STRING COMMENT '是否首次启动',
`model` STRING COMMENT '手机型号',
`mid_id` STRING COMMENT '设备id',
`os` STRING COMMENT '操作系统',
`user_id` STRING COMMENT '会员id',
`version_code` STRING COMMENT 'app版本号',
`during_time` BIGINT COMMENT '持续时间毫秒',
`page_item` STRING COMMENT '目标id ',
`page_item_type` STRING COMMENT '目标类型',
`last_page_id` STRING COMMENT '上页类型',
`page_id` STRING COMMENT '页面ID ',
`source_type` STRING COMMENT '来源类型',
`ts` bigint
) COMMENT '页面日志表'
PARTITIONED BY (`dt` STRING)
STORED AS PARQUET
LOCATION '/warehouse/gmall/dwd/dwd_page_log'
TBLPROPERTIES('parquet.compression'='lzo');
2）数据导入
hive (gmall)>
insert overwrite table dwd_page_log partition(dt='2020-06-14')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.page.during_time'),
get_json_object(line,'$.page.item'),
get_json_object(line,'$.page.item_type'),
get_json_object(line,'$.page.last_page_id'),
get_json_object(line,'$.page.page_id'),
get_json_object(line,'$.page.source_type'),
get_json_object(line,'$.ts')
from ods_log
where dt='2020-06-14'
and get_json_object(line,'$.page') is not null;
3）查看数据
hive (gmall)>
select * from dwd_page_log where dt='2020-06-14' limit 2;
（5）动作日志表
- 动作日志解析思路：动作日志表中每行数据对应用户的一个动作记录，一个动作记录应当包含公共信息、页面信息以及动作信息。先将包含action字段的日志过滤出来，然后通过UDTF函数，将action数组“炸开”（类似于explode函数的效果），然后使用get_json_object函数解析每个字段。
1）建表语句
DROP TABLE IF EXISTS dwd_action_log;
CREATE EXTERNAL TABLE dwd_action_log(
`area_code` STRING COMMENT '地区编码',
`brand` STRING COMMENT '手机品牌',
`channel` STRING COMMENT '渠道',
`is_new` STRING COMMENT '是否首次启动',
`model` STRING COMMENT '手机型号',
`mid_id` STRING COMMENT '设备id',
`os` STRING COMMENT '操作系统',
`user_id` STRING COMMENT '会员id',
`version_code` STRING COMMENT 'app版本号',
`during_time` BIGINT COMMENT '持续时间毫秒',
`page_item` STRING COMMENT '目标id ',
`page_item_type` STRING COMMENT '目标类型',
`last_page_id` STRING COMMENT '上页类型',
`page_id` STRING COMMENT '页面id ',
`source_type` STRING COMMENT '来源类型',
`action_id` STRING COMMENT '动作id',
`item` STRING COMMENT '目标id ',
`item_type` STRING COMMENT '目标类型',
`ts` BIGINT COMMENT '时间'
) COMMENT '动作日志表'
PARTITIONED BY (`dt` STRING)
STORED AS PARQUET
LOCATION '/warehouse/gmall/dwd/dwd_action_log'
TBLPROPERTIES('parquet.compression'='lzo');
2）创建UDTF函数——设计思路
3）创建UDTF函数——编写代码
（1）创建一个maven工程：hivefunction
（2）创建包名：com.lyh.hive.udtf
（3）引入如下依赖
<dependencies>
<!--添加hive依赖-->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>3.1.2</version>
</dependency>
</dependencies>
（4）编码
package com.lyh.hive.udtf;
import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDTF;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
import org.json.JSONArray;
import java.util.ArrayList;
import java.util.List;
public class ExplodeJSONArray extends GenericUDTF {
@Override
public StructObjectInspector initialize(ObjectInspector[] argOIs) throws UDFArgumentException {
// 1 参数合法性检查
if (argOIs.length != 1) {
throw new UDFArgumentException("explode_json_array 只需要一个参数");
}
// 2 第一个参数必须为string
//判断参数是否为基础数据类型
if (argOIs[0].getCategory() != ObjectInspector.Category.PRIMITIVE) {
throw new UDFArgumentException("explode_json_array 只接受基础类型参数");
}
//将参数对象检查器强转为基础类型对象检查器
PrimitiveObjectInspector argumentOI = (PrimitiveObjectInspector) argOIs[0];
//判断参数是否为String类型
if (argumentOI.getPrimitiveCategory() != PrimitiveObjectInspector.PrimitiveCategory.STRING) {
throw new UDFArgumentException("explode_json_array 只接受string类型的参数");
}
// 3 定义返回值名称和类型
List<String> fieldNames = new ArrayList<String>();
List<ObjectInspector> fieldOIs = new ArrayList<ObjectInspector>();
fieldNames.add("items");
fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
return ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldOIs);
}
public void process(Object[] objects) throws HiveException {
// 1 获取传入的数据
String jsonArray = objects[0].toString();
// 2 将string转换为json数组
JSONArray actions = new JSONArray(jsonArray);
// 3 循环一次，取出数组中的一个json，并写出
for (int i = 0; i < actions.length(); i++) {
String[] result = new String[1];
result[0] = actions.getString(i);
forward(result);
}
}
public void close() throws HiveException {
}
}
4）创建函数
（1）打包
（2）将hivefunction-1.0-SNAPSHOT.jar上传到hadoop102的/opt/module，然后再将该jar包上传到HDFS的/user/hive/jars路径下
[lyh@hadoop102 module]$ hadoop fs -mkdir -p /user/hive/jars
[lyh@hadoop102 module]$ hadoop fs -put hivefunction-1.0-SNAPSHOT.jar /user/hive/jars
（3）在datagrip中创建永久函数与开发好的java class关联
create function explode_json_array as 'com.lyh.gmall.hive.udtf.ExplodeJSONArray' using jar 'hdfs://hadoop102:8020/user/hive/jars/gmall-udtf-1.0-SNAPSHOT.jar';
（4）注意：如果修改了自定义函数重新生成jar包怎么处理？只需要替换HDFS路径上的旧jar包，然后重启Hive客户端即可。
5）数据导入
insert overwrite table dwd_action_log partition(dt='2020-06-14')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.page.during_time'),
get_json_object(line,'$.page.item'),
get_json_object(line,'$.page.item_type'),
get_json_object(line,'$.page.last_page_id'),
get_json_object(line,'$.page.page_id'),
get_json_object(line,'$.page.source_type'),
get_json_object(action,'$.action_id'),
get_json_object(action,'$.item'),
get_json_object(action,'$.item_type'),
get_json_object(action,'$.ts')
from ods_log lateral view explode_json_array(get_json_object(line,'$.actions')) tmp as action
where dt='2020-06-14'
and get_json_object(line,'$.actions') is not null;
3）查看数据
select * from dwd_action_log where dt='2020-06-14' limit 2;
（6）曝光日志表
- 曝光日志解析思路：曝光日志表中每行数据对应一个曝光记录，一个曝光记录应当包含公共信息、页面信息以及曝光信息。先将包含display字段的日志过滤出来，然后通过UDTF函数，将display数组“炸开”（类似于explode函数的效果），然后使用get_json_object函数解析每个字段。
1）建表语句
DROP TABLE IF EXISTS dwd_display_log;
CREATE EXTERNAL TABLE dwd_display_log(
`area_code` STRING COMMENT '地区编码',
`brand` STRING COMMENT '手机品牌',
`channel` STRING COMMENT '渠道',
`is_new` STRING COMMENT '是否首次启动',
`model` STRING COMMENT '手机型号',
`mid_id` STRING COMMENT '设备id',
`os` STRING COMMENT '操作系统',
`user_id` STRING COMMENT '会员id',
`version_code` STRING COMMENT 'app版本号',
`during_time` BIGINT COMMENT 'app版本号',
`page_item` STRING COMMENT '目标id ',
`page_item_type` STRING COMMENT '目标类型',
`last_page_id` STRING COMMENT '上页类型',
`page_id` STRING COMMENT '页面ID ',
`source_type` STRING COMMENT '来源类型',
`ts` BIGINT COMMENT 'app版本号',
`display_type` STRING COMMENT '曝光类型',
`item` STRING COMMENT '曝光对象id ',
`item_type` STRING COMMENT 'app版本号',
`order` BIGINT COMMENT '曝光顺序',
`pos_id` BIGINT COMMENT '曝光位置'
) COMMENT '曝光日志表'
PARTITIONED BY (`dt` STRING)
STORED AS PARQUET
LOCATION '/warehouse/gmall/dwd/dwd_display_log'
TBLPROPERTIES('parquet.compression'='lzo');
2）数据导入
insert overwrite table dwd_display_log partition(dt='2020-06-14')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.page.during_time'),
get_json_object(line,'$.page.item'),
get_json_object(line,'$.page.item_type'),
get_json_object(line,'$.page.last_page_id'),
get_json_object(line,'$.page.page_id'),
get_json_object(line,'$.page.source_type'),
get_json_object(line,'$.ts'),
get_json_object(display,'$.display_type'),
get_json_object(display,'$.item'),
get_json_object(display,'$.item_type'),
get_json_object(display,'$.order'),
get_json_object(display,'$.pos_id')
from ods_log lateral view explode_json_array(get_json_object(line,'$.displays')) tmp as display
where dt='2020-06-14'
and get_json_object(line,'$.displays') is not null;
3）查看数据
select * from dwd_display_log where dt='2020-06-14' limit 2;
（7）错误日志表
- 错误日志解析思路：错误日志表中每行数据对应一个错误记录，为方便定位错误，一个错误记录应当包含与之对应的公共信息、页面信息、曝光信息、动作信息、启动信息以及错误信息。先将包含err字段的日志过滤出来，然后使用get_json_object函数解析所有字段
1）建表语句
DROP TABLE IF EXISTS dwd_error_log;
CREATE EXTERNAL TABLE dwd_error_log(
`area_code` STRING COMMENT '地区编码',
`brand` STRING COMMENT '手机品牌',
`channel` STRING COMMENT '渠道',
`is_new` STRING COMMENT '是否首次启动',
`model` STRING COMMENT '手机型号',
`mid_id` STRING COMMENT '设备id',
`os` STRING COMMENT '操作系统',
`user_id` STRING COMMENT '会员id',
`version_code` STRING COMMENT 'app版本号',
`page_item` STRING COMMENT '目标id ',
`page_item_type` STRING COMMENT '目标类型',
`last_page_id` STRING COMMENT '上页类型',
`page_id` STRING COMMENT '页面ID ',
`source_type` STRING COMMENT '来源类型',
`entry` STRING COMMENT ' icon手机图标 notice 通知 install 安装后启动',
`loading_time` STRING COMMENT '启动加载时间',
`open_ad_id` STRING COMMENT '广告页ID ',
`open_ad_ms` STRING COMMENT '广告总共播放时间',
`open_ad_skip_ms` STRING COMMENT '用户跳过广告时点',
`actions` STRING COMMENT '动作',
`displays` STRING COMMENT '曝光',
`ts` STRING COMMENT '时间',
`error_code` STRING COMMENT '错误码',
`msg` STRING COMMENT '错误信息'
) COMMENT '错误日志表'
PARTITIONED BY (`dt` STRING)
STORED AS PARQUET
LOCATION '/warehouse/gmall/dwd/dwd_error_log'
TBLPROPERTIES('parquet.compression'='lzo');
说明：此处为对动作数组和曝光数组做处理，如需分析错误与单个动作或曝光的关联，可先使用explode_json_array函数将数组“炸开”，再使用get_json_object函数获取具体字段。
4）数据导入
insert overwrite table dwd_error_log partition(dt='2020-06-14')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.page.item'),
get_json_object(line,'$.page.item_type'),
get_json_object(line,'$.page.last_page_id'),
get_json_object(line,'$.page.page_id'),
get_json_object(line,'$.page.source_type'),
get_json_object(line,'$.start.entry'),
get_json_object(line,'$.start.loading_time'),
get_json_object(line,'$.start.open_ad_id'),
get_json_object(line,'$.start.open_ad_ms'),
get_json_object(line,'$.start.open_ad_skip_ms'),
get_json_object(line,'$.actions'),
get_json_object(line,'$.displays'),
get_json_object(line,'$.ts'),
get_json_object(line,'$.err.error_code'),
get_json_object(line,'$.err.msg')
from ods_log
where dt='2020-06-14'
and get_json_object(line,'$.err') is not null;
5）查看数据
hive (gmall)>
select * from dwd_error_log where dt='2020-06-14' limit 2;
（8）DWD层用户行为数据加载脚本
1）编写脚本
（1）在hadoop102的/home/lyh/bin目录下创建脚本
[lyh@hadoop102 bin]$ vim ods_to_dwd_log.sh
在脚本中编写如下内容
#!/bin/bash
APP=gmall
# 如果是输入的日期按照取输入日期；如果没输入日期取当前时间的前一天
if [ -n "$2" ] ;then
do_date=$2
else
do_date=`date -d "-1 day" +%F`
fi
dwd_start_log="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_start_log partition(dt='$do_date')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.start.entry'),
get_json_object(line,'$.start.loading_time'),
get_json_object(line,'$.start.open_ad_id'),
get_json_object(line,'$.start.open_ad_ms'),
get_json_object(line,'$.start.open_ad_skip_ms'),
get_json_object(line,'$.ts')
from ${APP}.ods_log
where dt='$do_date'
and get_json_object(line,'$.start') is not null;"
dwd_page_log="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_page_log partition(dt='$do_date')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.page.during_time'),
get_json_object(line,'$.page.item'),
get_json_object(line,'$.page.item_type'),
get_json_object(line,'$.page.last_page_id'),
get_json_object(line,'$.page.page_id'),
get_json_object(line,'$.page.source_type'),
get_json_object(line,'$.ts')
from ${APP}.ods_log
where dt='$do_date'
and get_json_object(line,'$.page') is not null;"
dwd_action_log="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_action_log partition(dt='$do_date')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.page.during_time'),
get_json_object(line,'$.page.item'),
get_json_object(line,'$.page.item_type'),
get_json_object(line,'$.page.last_page_id'),
get_json_object(line,'$.page.page_id'),
get_json_object(line,'$.page.source_type'),
get_json_object(action,'$.action_id'),
get_json_object(action,'$.item'),
get_json_object(action,'$.item_type'),
get_json_object(action,'$.ts')
from ${APP}.ods_log lateral view ${APP}.explode_json_array(get_json_object(line,'$.actions')) tmp as action
where dt='$do_date'
and get_json_object(line,'$.actions') is not null;"
dwd_display_log="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_display_log partition(dt='$do_date')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.page.during_time'),
get_json_object(line,'$.page.item'),
get_json_object(line,'$.page.item_type'),
get_json_object(line,'$.page.last_page_id'),
get_json_object(line,'$.page.page_id'),
get_json_object(line,'$.page.source_type'),
get_json_object(line,'$.ts'),
get_json_object(display,'$.display_type'),
get_json_object(display,'$.item'),
get_json_object(display,'$.item_type'),
get_json_object(display,'$.order'),
get_json_object(display,'$.pos_id')
from ${APP}.ods_log lateral view ${APP}.explode_json_array(get_json_object(line,'$.displays')) tmp as display
where dt='$do_date'
and get_json_object(line,'$.displays') is not null;"
dwd_error_log="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_error_log partition(dt='$do_date')
select
get_json_object(line,'$.common.ar'),
get_json_object(line,'$.common.ba'),
get_json_object(line,'$.common.ch'),
get_json_object(line,'$.common.is_new'),
get_json_object(line,'$.common.md'),
get_json_object(line,'$.common.mid'),
get_json_object(line,'$.common.os'),
get_json_object(line,'$.common.uid'),
get_json_object(line,'$.common.vc'),
get_json_object(line,'$.page.item'),
get_json_object(line,'$.page.item_type'),
get_json_object(line,'$.page.last_page_id'),
get_json_object(line,'$.page.page_id'),
get_json_object(line,'$.page.source_type'),
get_json_object(line,'$.start.entry'),
get_json_object(line,'$.start.loading_time'),
get_json_object(line,'$.start.open_ad_id'),
get_json_object(line,'$.start.open_ad_ms'),
get_json_object(line,'$.start.open_ad_skip_ms'),
get_json_object(line,'$.actions'),
get_json_object(line,'$.displays'),
get_json_object(line,'$.ts'),
get_json_object(line,'$.err.error_code'),
get_json_object(line,'$.err.msg')
from ${APP}.ods_log
where dt='$do_date'
and get_json_object(line,'$.err') is not null;"
case $1 in
dwd_start_log )
hive -e "$dwd_start_log"
;;
dwd_page_log )
hive -e "$dwd_page_log"
;;
dwd_action_log )
hive -e "$dwd_action_log"
;;
dwd_display_log )
hive -e "$dwd_display_log"
;;
dwd_error_log )
hive -e "$dwd_error_log"
;;
all )
hive -e "$dwd_start_log$dwd_page_log$dwd_action_log$dwd_display_log$dwd_error_log"
;;
esac
（2）增加脚本执行权限
[lyh@hadoop102 bin]$ chmod 777 ods_to_dwd_log.sh
2）脚本使用
（1）执行脚本
[lyh@hadoop102 module]$ ods_to_dwd_log.sh all 2020-06-14
（2）查询导入结果
2、DWD层（业务数据）
- 业务数据方面DWD层的搭建主要注意点在于维度建模。
（1）DWD层业务数据首日装载脚本
1）编写脚本
（1）在/home/lyh/bin目录下创建脚本ods_to_dwd_db_init.sh
[lyh@hadoop102 bin]$ vim ods_to_dwd_db_init.sh
在脚本中填写如下内容
#!/bin/bash
APP=gmall
if [ -n "$2" ] ;then
do_date=$2
else
echo "请传入日期参数"
exit
fi
dwd_order_info="
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_order_info partition(dt)
select
oi.id,
oi.order_status,
oi.user_id,
oi.province_id,
oi.payment_way,
oi.delivery_address,
oi.out_trade_no,
oi.tracking_no,
oi.create_time,
times.ts['1002'] payment_time,
times.ts['1003'] cancel_time,
times.ts['1004'] finish_time,
times.ts['1005'] refund_time,
times.ts['1006'] refund_finish_time,
oi.expire_time,
feight_fee,
feight_fee_reduce,
activity_reduce_amount,
coupon_reduce_amount,
original_amount,
final_amount,
case
when times.ts['1003'] is not null then date_format(times.ts['1003'],'yyyy-MM-dd')
when times.ts['1004'] is not null and date_add(date_format(times.ts['1004'],'yyyy-MM-dd'),7)<='$do_date' and times.ts['1005'] is null then date_add(date_format(times.ts['1004'],'yyyy-MM-dd'),7)
when times.ts['1006'] is not null then date_format(times.ts['1006'],'yyyy-MM-dd')
when oi.expire_time is not null then date_format(oi.expire_time,'yyyy-MM-dd')
else '9999-99-99'
end
from
(
select
*
from ${APP}.ods_order_info
where dt='$do_date'
)oi
left join
(
select
order_id,
str_to_map(concat_ws(',',collect_set(concat(order_status,'=',operate_time))),',','=') ts
from ${APP}.ods_order_status_log
where dt='$do_date'
group by order_id
)times
on oi.id=times.order_id;"
dwd_order_detail="
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_order_detail partition(dt)
select
od.id,
od.order_id,
oi.user_id,
od.sku_id,
oi.province_id,
oda.activity_id,
oda.activity_rule_id,
odc.coupon_id,
od.create_time,
od.source_type,
od.source_id,
od.sku_num,
od.order_price*od.sku_num,
od.split_activity_amount,
od.split_coupon_amount,
od.split_final_amount,
date_format(create_time,'yyyy-MM-dd')
from
(
select
*
from ${APP}.ods_order_detail
where dt='$do_date'
)od
left join
(
select
id,
user_id,
province_id
from ${APP}.ods_order_info
where dt='$do_date'
)oi
on od.order_id=oi.id
left join
(
select
order_detail_id,
activity_id,
activity_rule_id
from ${APP}.ods_order_detail_activity
where dt='$do_date'
)oda
on od.id=oda.order_detail_id
left join
(
select
order_detail_id,
coupon_id
from ${APP}.ods_order_detail_coupon
where dt='$do_date'
)odc
on od.id=odc.order_detail_id;"
dwd_payment_info="
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_payment_info partition(dt)
select
pi.id,
pi.order_id,
pi.user_id,
oi.province_id,
pi.trade_no,
pi.out_trade_no,
pi.payment_type,
pi.payment_amount,
pi.payment_status,
pi.create_time,
pi.callback_time,
nvl(date_format(pi.callback_time,'yyyy-MM-dd'),'9999-99-99')
from
(
select * from ${APP}.ods_payment_info where dt='$do_date'
)pi
left join
(
select id,province_id from ${APP}.ods_order_info where dt='$do_date'
)oi
on pi.order_id=oi.id;"
dwd_cart_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_cart_info partition(dt='$do_date')
select
id,
user_id,
sku_id,
source_type,
source_id,
cart_price,
is_ordered,
create_time,
operate_time,
order_time,
sku_num
from ${APP}.ods_cart_info
where dt='$do_date';"
dwd_comment_info="
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_comment_info partition(dt)
select
id,
user_id,
sku_id,
spu_id,
order_id,
appraise,
create_time,
date_format(create_time,'yyyy-MM-dd')
from ${APP}.ods_comment_info
where dt='$do_date';
"
dwd_favor_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_favor_info partition(dt='$do_date')
select
id,
user_id,
sku_id,
spu_id,
is_cancel,
create_time,
cancel_time
from ${APP}.ods_favor_info
where dt='$do_date';"
dwd_coupon_use="
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_coupon_use partition(dt)
select
id,
coupon_id,
user_id,
order_id,
coupon_status,
get_time,
using_time,
used_time,
expire_time,
coalesce(date_format(used_time,'yyyy-MM-dd'),date_format(expire_time,'yyyy-MM-dd'),'9999-99-99')
from ${APP}.ods_coupon_use
where dt='$do_date';"
dwd_order_refund_info="
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_order_refund_info partition(dt)
select
ri.id,
ri.user_id,
ri.order_id,
ri.sku_id,
oi.province_id,
ri.refund_type,
ri.refund_num,
ri.refund_amount,
ri.refund_reason_type,
ri.create_time,
date_format(ri.create_time,'yyyy-MM-dd')
from
(
select * from ${APP}.ods_order_refund_info where dt='$do_date'
)ri
left join
(
select id,province_id from ${APP}.ods_order_info where dt='$do_date'
)oi
on ri.order_id=oi.id;"
dwd_refund_payment="
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_refund_payment partition(dt)
select
rp.id,
user_id,
order_id,
sku_id,
province_id,
trade_no,
out_trade_no,
payment_type,
refund_amount,
refund_status,
create_time,
callback_time,
nvl(date_format(callback_time,'yyyy-MM-dd'),'9999-99-99')
from
(
select
id,
out_trade_no,
order_id,
sku_id,
payment_type,
trade_no,
refund_amount,
refund_status,
create_time,
callback_time
from ${APP}.ods_refund_payment
where dt='$do_date'
)rp
left join
(
select
id,
user_id,
province_id
from ${APP}.ods_order_info
where dt='$do_date'
)oi
on rp.order_id=oi.id;"
case $1 in
dwd_order_info )
hive -e "$dwd_order_info"
;;
dwd_order_detail )
hive -e "$dwd_order_detail"
;;
dwd_payment_info )
hive -e "$dwd_payment_info"
;;
dwd_cart_info )
hive -e "$dwd_cart_info"
;;
dwd_comment_info )
hive -e "$dwd_comment_info"
;;
dwd_favor_info )
hive -e "$dwd_favor_info"
;;
dwd_coupon_use )
hive -e "$dwd_coupon_use"
;;
dwd_order_refund_info )
hive -e "$dwd_order_refund_info"
;;
dwd_refund_payment )
hive -e "$dwd_refund_payment"
;;
all )
hive -e "$dwd_order_info$dwd_order_detail$dwd_payment_info$dwd_cart_info$dwd_comment_info$dwd_favor_info$dwd_coupon_use$dwd_order_refund_info$dwd_refund_payment"
;;
esac
（2）增加执行权限
[lyh@hadoop102 bin]$ chmod +x ods_to_dwd_db_init.sh
2）脚本使用
（1）执行脚本
[lyh@hadoop102 bin]$ ods_to_dwd_db_init.sh all 2020-06-14
（2）查看数据是否导入成功
（2）DWD层业务数据每日装载脚本
1）编写脚本
（1）在/home/lyh/bin目录下创建脚本ods_to_dwd_db.sh
[lyh@hadoop102 bin]$ vim ods_to_dwd_db.sh
在脚本中填写如下内容
#!/bin/bash
APP=gmall
# 如果是输入的日期按照取输入日期；如果没输入日期取当前时间的前一天
if [ -n "$2" ] ;then
do_date=$2
else
do_date=`date -d "-1 day" +%F`
fi
# 假设某累积型快照事实表，某天所有的业务记录全部完成，则会导致9999-99-99分区的数据未被覆盖，从而导致数据重复，该函数根据9999-99-99分区的数据的末次修改时间判断其是否被覆盖了，如果未被覆盖，就手动清理
clear_data(){
current_date=`date +%F`
current_date_timestamp=`date -d "$current_date" +%s`
last_modified_date=`hadoop fs -ls /warehouse/gmall/dwd/$1 | grep '9999-99-99' | awk '{print $6}'`
last_modified_date_timestamp=`date -d "$last_modified_date" +%s`
if [[ $last_modified_date_timestamp -lt $current_date_timestamp ]]; then
echo "clear table $1 partition(dt=9999-99-99)"
hadoop fs -rm -r -f /warehouse/gmall/dwd/$1/dt=9999-99-99/*
fi
}
dwd_order_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table ${APP}.dwd_order_info partition(dt)
select
nvl(new.id,old.id),
nvl(new.order_status,old.order_status),
nvl(new.user_id,old.user_id),
nvl(new.province_id,old.province_id),
nvl(new.payment_way,old.payment_way),
nvl(new.delivery_address,old.delivery_address),
nvl(new.out_trade_no,old.out_trade_no),
nvl(new.tracking_no,old.tracking_no),
nvl(new.create_time,old.create_time),
nvl(new.payment_time,old.payment_time),
nvl(new.cancel_time,old.cancel_time),
nvl(new.finish_time,old.finish_time),
nvl(new.refund_time,old.refund_time),
nvl(new.refund_finish_time,old.refund_finish_time),
nvl(new.expire_time,old.expire_time),
nvl(new.feight_fee,old.feight_fee),
nvl(new.feight_fee_reduce,old.feight_fee_reduce),
nvl(new.activity_reduce_amount,old.activity_reduce_amount),
nvl(new.coupon_reduce_amount,old.coupon_reduce_amount),
nvl(new.original_amount,old.original_amount),
nvl(new.final_amount,old.final_amount),
case
when new.cancel_time is not null then date_format(new.cancel_time,'yyyy-MM-dd')
when new.finish_time is not null and date_add(date_format(new.finish_time,'yyyy-MM-dd'),7)='$do_date' and new.refund_time is null then '$do_date'
when new.refund_finish_time is not null then date_format(new.refund_finish_time,'yyyy-MM-dd')
when new.expire_time is not null then date_format(new.expire_time,'yyyy-MM-dd')
else '9999-99-99'
end
from
(
select
id,
order_status,
user_id,
province_id,
payment_way,
delivery_address,
out_trade_no,
tracking_no,
create_time,
payment_time,
cancel_time,
finish_time,
refund_time,
refund_finish_time,
expire_time,
feight_fee,
feight_fee_reduce,
activity_reduce_amount,
coupon_reduce_amount,
original_amount,
final_amount
from ${APP}.dwd_order_info
where dt='9999-99-99'
)old
full outer join
(
select
oi.id,
oi.order_status,
oi.user_id,
oi.province_id,
oi.payment_way,
oi.delivery_address,
oi.out_trade_no,
oi.tracking_no,
oi.create_time,
times.ts['1002'] payment_time,
times.ts['1003'] cancel_time,
times.ts['1004'] finish_time,
times.ts['1005'] refund_time,
times.ts['1006'] refund_finish_time,
oi.expire_time,
feight_fee,
feight_fee_reduce,
activity_reduce_amount,
coupon_reduce_amount,
original_amount,
final_amount
from
(
select
*
from ${APP}.ods_order_info
where dt='$do_date'
)oi
left join
(
select
order_id,
str_to_map(concat_ws(',',collect_set(concat(order_status,'=',operate_time))),',','=') ts
from ${APP}.ods_order_status_log
where dt='$do_date'
group by order_id
)times
on oi.id=times.order_id
)new
on old.id=new.id;"
dwd_order_detail="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_order_detail partition(dt='$do_date')
select
od.id,
od.order_id,
oi.user_id,
od.sku_id,
oi.province_id,
oda.activity_id,
oda.activity_rule_id,
odc.coupon_id,
od.create_time,
od.source_type,
od.source_id,
od.sku_num,
od.order_price*od.sku_num,
od.split_activity_amount,
od.split_coupon_amount,
od.split_final_amount
from
(
select
*
from ${APP}.ods_order_detail
where dt='$do_date'
)od
left join
(
select
id,
user_id,
province_id
from ${APP}.ods_order_info
where dt='$do_date'
)oi
on od.order_id=oi.id
left join
(
select
order_detail_id,
activity_id,
activity_rule_id
from ${APP}.ods_order_detail_activity
where dt='$do_date'
)oda
on od.id=oda.order_detail_id
left join
(
select
order_detail_id,
coupon_id
from ${APP}.ods_order_detail_coupon
where dt='$do_date'
)odc
on od.id=odc.order_detail_id;"
dwd_payment_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table ${APP}.dwd_payment_info partition(dt)
select
nvl(new.id,old.id),
nvl(new.order_id,old.order_id),
nvl(new.user_id,old.user_id),
nvl(new.province_id,old.province_id),
nvl(new.trade_no,old.trade_no),
nvl(new.out_trade_no,old.out_trade_no),
nvl(new.payment_type,old.payment_type),
nvl(new.payment_amount,old.payment_amount),
nvl(new.payment_status,old.payment_status),
nvl(new.create_time,old.create_time),
nvl(new.callback_time,old.callback_time),
nvl(date_format(nvl(new.callback_time,old.callback_time),'yyyy-MM-dd'),'9999-99-99')
from
(
select id,
order_id,
user_id,
province_id,
trade_no,
out_trade_no,
payment_type,
payment_amount,
payment_status,
create_time,
callback_time
from ${APP}.dwd_payment_info
where dt = '9999-99-99'
)old
full outer join
(
select
pi.id,
pi.out_trade_no,
pi.order_id,
pi.user_id,
oi.province_id,
pi.payment_type,
pi.trade_no,
pi.payment_amount,
pi.payment_status,
pi.create_time,
pi.callback_time
from
(
select * from ${APP}.ods_payment_info where dt='$do_date'
)pi
left join
(
select id,province_id from ${APP}.ods_order_info where dt='$do_date'
)oi
on pi.order_id=oi.id
)new
on old.id=new.id;"
dwd_cart_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_cart_info partition(dt='$do_date')
select
id,
user_id,
sku_id,
source_type,
source_id,
cart_price,
is_ordered,
create_time,
operate_time,
order_time,
sku_num
from ${APP}.ods_cart_info
where dt='$do_date';"
dwd_comment_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_comment_info partition(dt='$do_date')
select
id,
user_id,
sku_id,
spu_id,
order_id,
appraise,
create_time
from ${APP}.ods_comment_info where dt='$do_date';"
dwd_favor_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_favor_info partition(dt='$do_date')
select
id,
user_id,
sku_id,
spu_id,
is_cancel,
create_time,
cancel_time
from ${APP}.ods_favor_info
where dt='$do_date';"
dwd_coupon_use="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table ${APP}.dwd_coupon_use partition(dt)
select
nvl(new.id,old.id),
nvl(new.coupon_id,old.coupon_id),
nvl(new.user_id,old.user_id),
nvl(new.order_id,old.order_id),
nvl(new.coupon_status,old.coupon_status),
nvl(new.get_time,old.get_time),
nvl(new.using_time,old.using_time),
nvl(new.used_time,old.used_time),
nvl(new.expire_time,old.expire_time),
coalesce(date_format(nvl(new.used_time,old.used_time),'yyyy-MM-dd'),date_format(nvl(new.expire_time,old.expire_time),'yyyy-MM-dd'),'9999-99-99')
from
(
select
id,
coupon_id,
user_id,
order_id,
coupon_status,
get_time,
using_time,
used_time,
expire_time
from ${APP}.dwd_coupon_use
where dt='9999-99-99'
)old
full outer join
(
select
id,
coupon_id,
user_id,
order_id,
coupon_status,
get_time,
using_time,
used_time,
expire_time
from ${APP}.ods_coupon_use
where dt='$do_date'
)new
on old.id=new.id;"
dwd_order_refund_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_order_refund_info partition(dt='$do_date')
select
ri.id,
ri.user_id,
ri.order_id,
ri.sku_id,
oi.province_id,
ri.refund_type,
ri.refund_num,
ri.refund_amount,
ri.refund_reason_type,
ri.create_time
from
(
select * from ${APP}.ods_order_refund_info where dt='$do_date'
)ri
left join
(
select id,province_id from ${APP}.ods_order_info where dt='$do_date'
)oi
on ri.order_id=oi.id;"
dwd_refund_payment="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table ${APP}.dwd_refund_payment partition(dt)
select
nvl(new.id,old.id),
nvl(new.user_id,old.user_id),
nvl(new.order_id,old.order_id),
nvl(new.sku_id,old.sku_id),
nvl(new.province_id,old.province_id),
nvl(new.trade_no,old.trade_no),
nvl(new.out_trade_no,old.out_trade_no),
nvl(new.payment_type,old.payment_type),
nvl(new.refund_amount,old.refund_amount),
nvl(new.refund_status,old.refund_status),
nvl(new.create_time,old.create_time),
nvl(new.callback_time,old.callback_time),
nvl(date_format(nvl(new.callback_time,old.callback_time),'yyyy-MM-dd'),'9999-99-99')
from
(
select
id,
user_id,
order_id,
sku_id,
province_id,
trade_no,
out_trade_no,
payment_type,
refund_amount,
refund_status,
create_time,
callback_time
from ${APP}.dwd_refund_payment
where dt='9999-99-99'
)old
full outer join
(
select
rp.id,
user_id,
order_id,
sku_id,
province_id,
trade_no,
out_trade_no,
payment_type,
refund_amount,
refund_status,
create_time,
callback_time
from
(
select
id,
out_trade_no,
order_id,
sku_id,
payment_type,
trade_no,
refund_amount,
refund_status,
create_time,
callback_time
from ${APP}.ods_refund_payment
where dt='$do_date'
)rp
left join
(
select
id,
user_id,
province_id
from ${APP}.ods_order_info
where dt='$do_date'
)oi
on rp.order_id=oi.id
)new
on old.id=new.id;"
case $1 in
dwd_order_info )
hive -e "$dwd_order_info"
clear_data dwd_order_info
;;
dwd_order_detail )
hive -e "$dwd_order_detail"
;;
dwd_payment_info )
hive -e "$dwd_payment_info"
clear_data dwd_payment_info
;;
dwd_cart_info )
hive -e "$dwd_cart_info"
;;
dwd_comment_info )
hive -e "$dwd_comment_info"
;;
dwd_favor_info )
hive -e "$dwd_favor_info"
;;
dwd_coupon_use )
hive -e "$dwd_coupon_use"
clear_data dwd_coupon_use
;;
dwd_order_refund_info )
hive -e "$dwd_order_refund_info"
;;
dwd_refund_payment )
hive -e "$dwd_refund_payment"
clear_data dwd_refund_payment
;;
all )
hive -e "$dwd_order_info$dwd_order_detail$dwd_payment_info$dwd_cart_info$dwd_comment_info$dwd_favor_info$dwd_coupon_use$dwd_order_refund_info$dwd_refund_payment"
clear_data dwd_order_info
clear_data dwd_payment_info
clear_data dwd_coupon_use
clear_data dwd_refund_payment
;;
esac
（2）增加脚本执行权限
[lyh@hadoop102 bin]$ chmod 777 ods_to_dwd_db.sh
2）脚本使用
（1）执行脚本
[lyh@hadoop102 bin]$ ods_to_dwd_db.sh all 2020-06-14
（2）查看数据是否导入成功
二、数仓搭建-DWS层
1、系统函数
（1）nvl函数
1）基本语法
- NVL（表达式1，表达式2）
- 如果表达式1为空值，NVL返回值为表达式2的值，否则返回表达式1的值。
- 该函数的目的是把一个空值（null）转换成一个实际的值。其表达式的值可以是数字型、字符型和日期型。但是表达式1和表达式2的数据类型必须为同一个类型。
2）案例实操
hive (gmall)> select nvl(1,0);
1
hive (gmall)> select nvl(null,"hello");
hello
（2）日期处理函数
1）date_format函数（根据格式整理日期）
hive (gmall)> select date_format('2020-06-14','yyyy-MM');
2020-06
2）date_add函数（加减日期）
hive (gmall)> select date_add('2020-06-14',-1);
2020-06-13
hive (gmall)> select date_add('2020-06-14',1);
2020-06-15
3）next_day函数
（1）取当前天的下一个周一
hive (gmall)> select next_day('2020-06-14','MO');
2020-06-15
说明：星期一到星期日的英文（Monday，Tuesday、Wednesday、Thursday、Friday、Saturday、Sunday）
（2）取当前周的周一
hive (gmall)> select date_add(next_day('2020-06-14','MO'),-7);
2020-06-8
4）last_day函数（求当月最后一天日期）
hive (gmall)> select last_day('2020-06-14');
2020-06-30
（3）复杂数据类型定义
1）map结构数据定义
map<string,string>
2）array结构数据定义
array<string>
3）struct结构数据定义
struct<id:int,name:string,age:int>
4）struct和array嵌套定义
array<struct<id:int,name:string,age:int>>
2、DWS层
（1）DWS层首日数据装载脚本
1）编写脚本
（1）在/home/lyh/bin目录下创建脚本dwd_to_dws_init.sh
#!/bin/bash
APP=gmall
if [ -n "$2" ] ;then
do_date=$2
else
echo "请传入日期参数"
exit
fi
dws_visitor_action_daycount="
insert overwrite table ${APP}.dws_visitor_action_daycount partition(dt='$do_date')
select
t1.mid_id,
t1.brand,
t1.model,
t1.is_new,
t1.channel,
t1.os,
t1.area_code,
t1.version_code,
t1.visit_count,
t3.page_stats
from
(
select
mid_id,
brand,
model,
if(array_contains(collect_set(is_new),'0'),'0','1') is_new,--ods_page_log中，同一天内，同一设备的is_new字段，可能全部为1，可能全部为0，也可能部分为0，部分为1(卸载重装),故做该处理
collect_set(channel) channel,
collect_set(os) os,
collect_set(area_code) area_code,
collect_set(version_code) version_code,
sum(if(last_page_id is null,1,0)) visit_count
from ${APP}.dwd_page_log
where dt='$do_date'
and last_page_id is null
group by mid_id,model,brand
)t1
join
(
select
mid_id,
brand,
model,
collect_set(named_struct('page_id',page_id,'page_count',page_count,'during_time',during_time)) page_stats
from
(
select
mid_id,
brand,
model,
page_id,
count(*) page_count,
sum(during_time) during_time
from ${APP}.dwd_page_log
where dt='$do_date'
group by mid_id,model,brand,page_id
)t2
group by mid_id,model,brand
)t3
on t1.mid_id=t3.mid_id
and t1.brand=t3.brand
and t1.model=t3.model;
"
dws_area_stats_daycount="
set hive.exec.dynamic.partition.mode=nonstrict;
with
tmp_vu as
(
select
dt,
id province_id,
visit_count,
login_count,
visitor_count,
user_count
from
(
select
dt,
area_code,
count(*) visit_count,--访客访问次数
count(user_id) login_count,--用户访问次数,等价于sum(if(user_id is not null,1,0))
count(distinct(mid_id)) visitor_count,--访客人数
count(distinct(user_id)) user_count--用户人数
from ${APP}.dwd_page_log
where last_page_id is null
group by dt,area_code
)tmp
left join ${APP}.dim_base_province area
on tmp.area_code=area.area_code
),
tmp_order as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
province_id,
count(*) order_count,
sum(original_amount) order_original_amount,
sum(final_amount) order_final_amount
from ${APP}.dwd_order_info
group by date_format(create_time,'yyyy-MM-dd'),province_id
),
tmp_pay as
(
select
date_format(callback_time,'yyyy-MM-dd') dt,
province_id,
count(*) payment_count,
sum(payment_amount) payment_amount
from ${APP}.dwd_payment_info
group by date_format(callback_time,'yyyy-MM-dd'),province_id
),
tmp_ro as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
province_id,
count(*) refund_order_count,
sum(refund_amount) refund_order_amount
from ${APP}.dwd_order_refund_info
group by date_format(create_time,'yyyy-MM-dd'),province_id
),
tmp_rp as
(
select
date_format(callback_time,'yyyy-MM-dd') dt,
province_id,
count(*) refund_payment_count,
sum(refund_amount) refund_payment_amount
from ${APP}.dwd_refund_payment
group by date_format(callback_time,'yyyy-MM-dd'),province_id
)
insert overwrite table ${APP}.dws_area_stats_daycount partition(dt)
select
province_id,
sum(visit_count),
sum(login_count),
sum(visitor_count),
sum(user_count),
sum(order_count),
sum(order_original_amount),
sum(order_final_amount),
sum(payment_count),
sum(payment_amount),
sum(refund_order_count),
sum(refund_order_amount),
sum(refund_payment_count),
sum(refund_payment_amount),
dt
from
(
select
dt,
province_id,
visit_count,
login_count,
visitor_count,
user_count,
0 order_count,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_amount,
0 refund_order_count,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_amount
from tmp_vu
union all
select
dt,
province_id,
0 visit_count,
0 login_count,
0 visitor_count,
0 user_count,
order_count,
order_original_amount,
order_final_amount,
0 payment_count,
0 payment_amount,
0 refund_order_count,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_amount
from tmp_order
union all
select
dt,
province_id,
0 visit_count,
0 login_count,
0 visitor_count,
0 user_count,
0 order_count,
0 order_original_amount,
0 order_final_amount,
payment_count,
payment_amount,
0 refund_order_count,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_amount
from tmp_pay
union all
select
dt,
province_id,
0 visit_count,
0 login_count,
0 visitor_count,
0 user_count,
0 order_count,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_amount,
refund_order_count,
refund_order_amount,
0 refund_payment_count,
0 refund_payment_amount
from tmp_ro
union all
select
dt,
province_id,
0 visit_count,
0 login_count,
0 visitor_count,
0 user_count,
0 order_count,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_amount,
0 refund_order_count,
0 refund_order_amount,
refund_payment_count,
refund_payment_amount
from tmp_rp
)t1
group by dt,province_id;
"
dws_user_action_daycount="
set hive.exec.dynamic.partition.mode=nonstrict;
with
tmp_login as
(
select
dt,
user_id,
count(*) login_count
from ${APP}.dwd_page_log
where user_id is not null
and last_page_id is null
group by dt,user_id
),
tmp_cf as
(
select
dt,
user_id,
sum(if(action_id='cart_add',1,0)) cart_count,
sum(if(action_id='favor_add',1,0)) favor_count
from ${APP}.dwd_action_log
where user_id is not null
and action_id in ('cart_add','favor_add')
group by dt,user_id
),
tmp_order as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
user_id,
count(*) order_count,
sum(if(activity_reduce_amount>0,1,0)) order_activity_count,
sum(if(coupon_reduce_amount>0,1,0)) order_coupon_count,
sum(activity_reduce_amount) order_activity_reduce_amount,
sum(coupon_reduce_amount) order_coupon_reduce_amount,
sum(original_amount) order_original_amount,
sum(final_amount) order_final_amount
from ${APP}.dwd_order_info
group by date_format(create_time,'yyyy-MM-dd'),user_id
),
tmp_pay as
(
select
date_format(callback_time,'yyyy-MM-dd') dt,
user_id,
count(*) payment_count,
sum(payment_amount) payment_amount
from ${APP}.dwd_payment_info
group by date_format(callback_time,'yyyy-MM-dd'),user_id
),
tmp_ri as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
user_id,
count(*) refund_order_count,
sum(refund_num) refund_order_num,
sum(refund_amount) refund_order_amount
from ${APP}.dwd_order_refund_info
group by date_format(create_time,'yyyy-MM-dd'),user_id
),
tmp_rp as
(
select
date_format(callback_time,'yyyy-MM-dd') dt,
rp.user_id,
count(*) refund_payment_count,
sum(ri.refund_num) refund_payment_num,
sum(rp.refund_amount) refund_payment_amount
from
(
select
user_id,
order_id,
sku_id,
refund_amount,
callback_time
from ${APP}.dwd_refund_payment
)rp
left join
(
select
user_id,
order_id,
sku_id,
refund_num
from ${APP}.dwd_order_refund_info
)ri
on rp.order_id=ri.order_id
and rp.sku_id=rp.sku_id
group by date_format(callback_time,'yyyy-MM-dd'),rp.user_id
),
tmp_coupon as
(
select
coalesce(coupon_get.dt,coupon_using.dt,coupon_used.dt) dt,
coalesce(coupon_get.user_id,coupon_using.user_id,coupon_used.user_id) user_id,
nvl(coupon_get_count,0) coupon_get_count,
nvl(coupon_using_count,0) coupon_using_count,
nvl(coupon_used_count,0) coupon_used_count
from
(
select
date_format(get_time,'yyyy-MM-dd') dt,
user_id,
count(*) coupon_get_count
from ${APP}.dwd_coupon_use
where get_time is not null
group by user_id,date_format(get_time,'yyyy-MM-dd')
)coupon_get
full outer join
(
select
date_format(using_time,'yyyy-MM-dd') dt,
user_id,
count(*) coupon_using_count
from ${APP}.dwd_coupon_use
where using_time is not null
group by user_id,date_format(using_time,'yyyy-MM-dd')
)coupon_using
on coupon_get.dt=coupon_using.dt
and coupon_get.user_id=coupon_using.user_id
full outer join
(
select
date_format(used_time,'yyyy-MM-dd') dt,
user_id,
count(*) coupon_used_count
from ${APP}.dwd_coupon_use
where used_time is not null
group by user_id,date_format(used_time,'yyyy-MM-dd')
)coupon_used
on nvl(coupon_get.dt,coupon_using.dt)=coupon_used.dt
and nvl(coupon_get.user_id,coupon_using.user_id)=coupon_used.user_id
),
tmp_comment as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
user_id,
sum(if(appraise='1201',1,0)) appraise_good_count,
sum(if(appraise='1202',1,0)) appraise_mid_count,
sum(if(appraise='1203',1,0)) appraise_bad_count,
sum(if(appraise='1204',1,0)) appraise_default_count
from ${APP}.dwd_comment_info
group by date_format(create_time,'yyyy-MM-dd'),user_id
),
tmp_od as
(
select
dt,
user_id,
collect_set(named_struct('sku_id',sku_id,'sku_num',sku_num,'order_count',order_count,'activity_reduce_amount',activity_reduce_amount,'coupon_reduce_amount',coupon_reduce_amount,'original_amount',original_amount,'final_amount',final_amount)) order_detail_stats
from
(
select
date_format(create_time,'yyyy-MM-dd') dt,
user_id,
sku_id,
sum(sku_num) sku_num,
count(*) order_count,
cast(sum(split_activity_amount) as decimal(16,2)) activity_reduce_amount,
cast(sum(split_coupon_amount) as decimal(16,2)) coupon_reduce_amount,
cast(sum(original_amount) as decimal(16,2)) original_amount,
cast(sum(split_final_amount) as decimal(16,2)) final_amount
from ${APP}.dwd_order_detail
group by date_format(create_time,'yyyy-MM-dd'),user_id,sku_id
)t1
group by dt,user_id
)
insert overwrite table ${APP}.dws_user_action_daycount partition(dt)
select
coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id,tmp_rp.user_id,tmp_comment.user_id,tmp_coupon.user_id,tmp_od.user_id),
nvl(login_count,0),
nvl(cart_count,0),
nvl(favor_count,0),
nvl(order_count,0),
nvl(order_activity_count,0),
nvl(order_activity_reduce_amount,0),
nvl(order_coupon_count,0),
nvl(order_coupon_reduce_amount,0),
nvl(order_original_amount,0),
nvl(order_final_amount,0),
nvl(payment_count,0),
nvl(payment_amount,0),
nvl(refund_order_count,0),
nvl(refund_order_num,0),
nvl(refund_order_amount,0),
nvl(refund_payment_count,0),
nvl(refund_payment_num,0),
nvl(refund_payment_amount,0),
nvl(coupon_get_count,0),
nvl(coupon_using_count,0),
nvl(coupon_used_count,0),
nvl(appraise_good_count,0),
nvl(appraise_mid_count,0),
nvl(appraise_bad_count,0),
nvl(appraise_default_count,0),
order_detail_stats,
coalesce(tmp_login.dt,tmp_cf.dt,tmp_order.dt,tmp_pay.dt,tmp_ri.dt,tmp_rp.dt,tmp_comment.dt,tmp_coupon.dt,tmp_od.dt)
from tmp_login
full outer join tmp_cf
on tmp_login.user_id=tmp_cf.user_id
and tmp_login.dt=tmp_cf.dt
full outer join tmp_order
on coalesce(tmp_login.user_id,tmp_cf.user_id)=tmp_order.user_id
and coalesce(tmp_login.dt,tmp_cf.dt)=tmp_order.dt
full outer join tmp_pay
on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id)=tmp_pay.user_id
and coalesce(tmp_login.dt,tmp_cf.dt,tmp_order.dt)=tmp_pay.dt
full outer join tmp_ri
on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id)=tmp_ri.user_id
and coalesce(tmp_login.dt,tmp_cf.dt,tmp_order.dt,tmp_pay.dt)=tmp_ri.dt
full outer join tmp_rp
on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id)=tmp_rp.user_id
and coalesce(tmp_login.dt,tmp_cf.dt,tmp_order.dt,tmp_pay.dt,tmp_ri.dt)=tmp_rp.dt
full outer join tmp_comment
on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id,tmp_rp.user_id)=tmp_comment.user_id
and coalesce(tmp_login.dt,tmp_cf.dt,tmp_order.dt,tmp_pay.dt,tmp_ri.dt,tmp_rp.dt)=tmp_comment.dt
full outer join tmp_coupon
on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id,tmp_rp.user_id,tmp_comment.user_id)=tmp_coupon.user_id
and coalesce(tmp_login.dt,tmp_cf.dt,tmp_order.dt,tmp_pay.dt,tmp_ri.dt,tmp_rp.dt,tmp_comment.dt)=tmp_coupon.dt
full outer join tmp_od
on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id,tmp_rp.user_id,tmp_comment.user_id,tmp_coupon.user_id)=tmp_od.user_id
and coalesce(tmp_login.dt,tmp_cf.dt,tmp_order.dt,tmp_pay.dt,tmp_ri.dt,tmp_rp.dt,tmp_comment.dt,tmp_coupon.dt)=tmp_od.dt;
"
dws_activity_info_daycount="
set hive.exec.dynamic.partition.mode=nonstrict;
with
tmp_order as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
activity_rule_id,
activity_id,
count(*) order_count,
sum(split_activity_amount) order_reduce_amount,
sum(original_amount) order_original_amount,
sum(split_final_amount) order_final_amount
from ${APP}.dwd_order_detail
where activity_id is not null
group by date_format(create_time,'yyyy-MM-dd'),activity_rule_id,activity_id
),
tmp_pay as
(
select
date_format(callback_time,'yyyy-MM-dd') dt,
activity_rule_id,
activity_id,
count(*) payment_count,
sum(split_activity_amount) payment_reduce_amount,
sum(split_final_amount) payment_amount
from
(
select
activity_rule_id,
activity_id,
order_id,
split_activity_amount,
split_final_amount
from ${APP}.dwd_order_detail
where activity_id is not null
)od
join
(
select
order_id,
callback_time
from ${APP}.dwd_payment_info
)pi
on od.order_id=pi.order_id
group by date_format(callback_time,'yyyy-MM-dd'),activity_rule_id,activity_id
)
insert overwrite table ${APP}.dws_activity_info_daycount partition(dt)
select
activity_rule_id,
activity_id,
sum(order_count),
sum(order_reduce_amount),
sum(order_original_amount),
sum(order_final_amount),
sum(payment_count),
sum(payment_reduce_amount),
sum(payment_amount),
dt
from
(
select
dt,
activity_rule_id,
activity_id,
order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
0 payment_count,
0 payment_reduce_amount,
0 payment_amount
from tmp_order
union all
select
dt,
activity_rule_id,
activity_id,
0 order_count,
0 order_reduce_amount,
0 order_original_amount,
0 order_final_amount,
payment_count,
payment_reduce_amount,
payment_amount
from tmp_pay
)t1
group by dt,activity_rule_id,activity_id;"
dws_sku_action_daycount="
set hive.exec.dynamic.partition.mode=nonstrict;
with
tmp_order as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
sku_id,
count(*) order_count,
sum(sku_num) order_num,
sum(if(split_activity_amount>0,1,0)) order_activity_count,
sum(if(split_coupon_amount>0,1,0)) order_coupon_count,
sum(split_activity_amount) order_activity_reduce_amount,
sum(split_coupon_amount) order_coupon_reduce_amount,
sum(original_amount) order_original_amount,
sum(split_final_amount) order_final_amount
from ${APP}.dwd_order_detail
group by date_format(create_time,'yyyy-MM-dd'),sku_id
),
tmp_pay as
(
select
date_format(callback_time,'yyyy-MM-dd') dt,
sku_id,
count(*) payment_count,
sum(sku_num) payment_num,
sum(split_final_amount) payment_amount
from ${APP}.dwd_order_detail od
join
(
select
order_id,
callback_time
from ${APP}.dwd_payment_info
where callback_time is not null
)pi on pi.order_id=od.order_id
group by date_format(callback_time,'yyyy-MM-dd'),sku_id
),
tmp_ri as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
sku_id,
count(*) refund_order_count,
sum(refund_num) refund_order_num,
sum(refund_amount) refund_order_amount
from ${APP}.dwd_order_refund_info
group by date_format(create_time,'yyyy-MM-dd'),sku_id
),
tmp_rp as
(
select
date_format(callback_time,'yyyy-MM-dd') dt,
rp.sku_id,
count(*) refund_payment_count,
sum(ri.refund_num) refund_payment_num,
sum(refund_amount) refund_payment_amount
from
(
select
order_id,
sku_id,
refund_amount,
callback_time
from ${APP}.dwd_refund_payment
)rp
left join
(
select
order_id,
sku_id,
refund_num
from ${APP}.dwd_order_refund_info
)ri
on rp.order_id=ri.order_id
and rp.sku_id=ri.sku_id
group by date_format(callback_time,'yyyy-MM-dd'),rp.sku_id
),
tmp_cf as
(
select
dt,
item sku_id,
sum(if(action_id='cart_add',1,0)) cart_count,
sum(if(action_id='favor_add',1,0)) favor_count
from ${APP}.dwd_action_log
where action_id in ('cart_add','favor_add')
group by dt,item
),
tmp_comment as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
sku_id,
sum(if(appraise='1201',1,0)) appraise_good_count,
sum(if(appraise='1202',1,0)) appraise_mid_count,
sum(if(appraise='1203',1,0)) appraise_bad_count,
sum(if(appraise='1204',1,0)) appraise_default_count
from ${APP}.dwd_comment_info
group by date_format(create_time,'yyyy-MM-dd'),sku_id
)
insert overwrite table ${APP}.dws_sku_action_daycount partition(dt)
select
sku_id,
sum(order_count),
sum(order_num),
sum(order_activity_count),
sum(order_coupon_count),
sum(order_activity_reduce_amount),
sum(order_coupon_reduce_amount),
sum(order_original_amount),
sum(order_final_amount),
sum(payment_count),
sum(payment_num),
sum(payment_amount),
sum(refund_order_count),
sum(refund_order_num),
sum(refund_order_amount),
sum(refund_payment_count),
sum(refund_payment_num),
sum(refund_payment_amount),
sum(cart_count),
sum(favor_count),
sum(appraise_good_count),
sum(appraise_mid_count),
sum(appraise_bad_count),
sum(appraise_default_count),
dt
from
(
select
dt,
sku_id,
order_count,
order_num,
order_activity_count,
order_coupon_count,
order_activity_reduce_amount,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
0 cart_count,
0 favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_order
union all
select
dt,
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
payment_count,
payment_num,
payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
0 cart_count,
0 favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_pay
union all
select
dt,
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
0 cart_count,
0 favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_ri
union all
select
dt,
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
0 cart_count,
0 favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_rp
union all
select
dt,
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
cart_count,
favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_cf
union all
select
dt,
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
0 cart_count,
0 favor_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from tmp_comment
)t1
group by dt,sku_id;"
dws_coupon_info_daycount="
set hive.exec.dynamic.partition.mode=nonstrict;
with
tmp_cu as
(
select
coalesce(coupon_get.dt,coupon_using.dt,coupon_used.dt,coupon_exprie.dt) dt,
coalesce(coupon_get.coupon_id,coupon_using.coupon_id,coupon_used.coupon_id,coupon_exprie.coupon_id) coupon_id,
nvl(get_count,0) get_count,
nvl(order_count,0) order_count,
nvl(payment_count,0) payment_count,
nvl(expire_count,0) expire_count
from
(
select
date_format(get_time,'yyyy-MM-dd') dt,
coupon_id,
count(*) get_count
from ${APP}.dwd_coupon_use
group by date_format(get_time,'yyyy-MM-dd'),coupon_id
)coupon_get
full outer join
(
select
date_format(using_time,'yyyy-MM-dd') dt,
coupon_id,
count(*) order_count
from ${APP}.dwd_coupon_use
where using_time is not null
group by date_format(using_time,'yyyy-MM-dd'),coupon_id
)coupon_using
on coupon_get.dt=coupon_using.dt
and coupon_get.coupon_id=coupon_using.coupon_id
full outer join
(
select
date_format(used_time,'yyyy-MM-dd') dt,
coupon_id,
count(*) payment_count
from ${APP}.dwd_coupon_use
where used_time is not null
group by date_format(used_time,'yyyy-MM-dd'),coupon_id
)coupon_used
on nvl(coupon_get.dt,coupon_using.dt)=coupon_used.dt
and nvl(coupon_get.coupon_id,coupon_using.coupon_id)=coupon_used.coupon_id
full outer join
(
select
date_format(expire_time,'yyyy-MM-dd') dt,
coupon_id,
count(*) expire_count
from ${APP}.dwd_coupon_use
where expire_time is not null
group by date_format(expire_time,'yyyy-MM-dd'),coupon_id
)coupon_exprie
on coalesce(coupon_get.dt,coupon_using.dt,coupon_used.dt)=coupon_exprie.dt
and coalesce(coupon_get.coupon_id,coupon_using.coupon_id,coupon_used.coupon_id)=coupon_exprie.coupon_id
),
tmp_order as
(
select
date_format(create_time,'yyyy-MM-dd') dt,
coupon_id,
sum(split_coupon_amount) order_reduce_amount,
sum(original_amount) order_original_amount,
sum(split_final_amount) order_final_amount
from ${APP}.dwd_order_detail
where coupon_id is not null
group by date_format(create_time,'yyyy-MM-dd'),coupon_id
),
tmp_pay as
(
select
date_format(callback_time,'yyyy-MM-dd') dt,
coupon_id,
sum(split_coupon_amount) payment_reduce_amount,
sum(split_final_amount) payment_amount
from
(
select
order_id,
coupon_id,
split_coupon_amount,
split_final_amount
from ${APP}.dwd_order_detail
where coupon_id is not null
)od
join
(
select
order_id,
callback_time
from ${APP}.dwd_payment_info
)pi
on od.order_id=pi.order_id
group by date_format(callback_time,'yyyy-MM-dd'),coupon_id
)
insert overwrite table ${APP}.dws_coupon_info_daycount partition(dt)
select
coupon_id,
sum(get_count),
sum(order_count),
sum(order_reduce_amount),
sum(order_original_amount),
sum(order_final_amount),
sum(payment_count),
sum(payment_reduce_amount),
sum(payment_amount),
sum(expire_count),
dt
from
(
select
dt,
coupon_id,
get_count,
order_count,
0 order_reduce_amount,
0 order_original_amount,
0 order_final_amount,
payment_count,
0 payment_reduce_amount,
0 payment_amount,
expire_count
from tmp_cu
union all
select
dt,
coupon_id,
0 get_count,
0 order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
0 payment_count,
0 payment_reduce_amount,
0 payment_amount,
0 expire_count
from tmp_order
union all
select
dt,
coupon_id,
0 get_count,
0 order_count,
0 order_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
payment_reduce_amount,
payment_amount,
0 expire_count
from tmp_pay
)t1
group by dt,coupon_id;
"
case $1 in
"dws_visitor_action_daycount" )
hive -e "$dws_visitor_action_daycount"
;;
"dws_user_action_daycount" )
hive -e "$dws_user_action_daycount"
;;
"dws_activity_info_daycount" )
hive -e "$dws_activity_info_daycount"
;;
"dws_area_stats_daycount" )
hive -e "$dws_area_stats_daycount"
;;
"dws_sku_action_daycount" )
hive -e "$dws_sku_action_daycount"
;;
"dws_coupon_info_daycount" )
hive -e "$dws_coupon_info_daycount"
;;
"all" )
hive -e "$dws_visitor_action_daycount$dws_user_action_daycount$dws_activity_info_daycount$dws_area_stats_daycount$dws_sku_action_daycount$dws_coupon_info_daycount"
;;
esac
（2）增加执行权限
[lyh@hadoop102 bin]$ chmod +x dwd_to_dws_init.sh
2）脚本使用
（1）执行脚本
[lyh@hadoop102 bin]$ dwd_to_dws_init.sh all 2020-06-14
（2）查看数据是否导入成功
（2）DWS层每日数据装载脚本
1）编写脚本
（1）在/home/lyh/bin目录下创建脚本dwd_to_dws.sh
#!/bin/bash
APP=gmall
# 如果是输入的日期按照取输入日期；如果没输入日期取当前时间的前一天
if [ -n "$2" ] ;then
do_date=$2
else
do_date=`date -d "-1 day" +%F`
fi
dws_visitor_action_daycount="insert overwrite table ${APP}.dws_visitor_action_daycount partition(dt='$do_date')
select
t1.mid_id,
t1.brand,
t1.model,
t1.is_new,
t1.channel,
t1.os,
t1.area_code,
t1.version_code,
t1.visit_count,
t3.page_stats
from
(
select
mid_id,
brand,
model,
if(array_contains(collect_set(is_new),'0'),'0','1') is_new,--ods_page_log中，同一天内，同一设备的is_new字段，可能全部为1，可能全部为0，也可能部分为0，部分为1(卸载重装),故做该处理
collect_set(channel) channel,
collect_set(os) os,
collect_set(area_code) area_code,
collect_set(version_code) version_code,
sum(if(last_page_id is null,1,0)) visit_count
from ${APP}.dwd_page_log
where dt='$do_date'
and last_page_id is null
group by mid_id,model,brand
)t1
join
(
select
mid_id,
brand,
model,
collect_set(named_struct('page_id',page_id,'page_count',page_count,'during_time',during_time)) page_stats
from
(
select
mid_id,
brand,
model,
page_id,
count(*) page_count,
sum(during_time) during_time
from ${APP}.dwd_page_log
where dt='$do_date'
group by mid_id,model,brand,page_id
)t2
group by mid_id,model,brand
)t3
on t1.mid_id=t3.mid_id
and t1.brand=t3.brand
and t1.model=t3.model;"
dws_user_action_daycount="
with
tmp_login as
(
select
user_id,
count(*) login_count
from ${APP}.dwd_page_log
where dt='$do_date'
and user_id is not null
and last_page_id is null
group by user_id
),
tmp_cf as
(
select
user_id,
sum(if(action_id='cart_add',1,0)) cart_count,
sum(if(action_id='favor_add',1,0)) favor_count
from ${APP}.dwd_action_log
where dt='$do_date'
and user_id is not null
and action_id in ('cart_add','favor_add')
group by user_id
),
tmp_order as
(
select
user_id,
count(*) order_count,
sum(if(activity_reduce_amount>0,1,0)) order_activity_count,
sum(if(coupon_reduce_amount>0,1,0)) order_coupon_count,
sum(activity_reduce_amount) order_activity_reduce_amount,
sum(coupon_reduce_amount) order_coupon_reduce_amount,
sum(original_amount) order_original_amount,
sum(final_amount) order_final_amount
from ${APP}.dwd_order_info
where (dt='$do_date'
or dt='9999-99-99')
and date_format(create_time,'yyyy-MM-dd')='$do_date'
group by user_id
),
tmp_pay as
(
select
user_id,
count(*) payment_count,
sum(payment_amount) payment_amount
from ${APP}.dwd_payment_info
where dt='$do_date'
group by user_id
),
tmp_ri as
(
select
user_id,
count(*) refund_order_count,
sum(refund_num) refund_order_num,
sum(refund_amount) refund_order_amount
from ${APP}.dwd_order_refund_info
where dt='$do_date'
group by user_id
),
tmp_rp as
(
select
rp.user_id,
count(*) refund_payment_count,
sum(ri.refund_num) refund_payment_num,
sum(rp.refund_amount) refund_payment_amount
from
(
select
user_id,
order_id,
sku_id,
refund_amount
from ${APP}.dwd_refund_payment
where dt='$do_date'
)rp
left join
(
select
user_id,
order_id,
sku_id,
refund_num
from ${APP}.dwd_order_refund_info
where dt>=date_add('$do_date',-15)
)ri
on rp.order_id=ri.order_id
and rp.sku_id=rp.sku_id
group by rp.user_id
),
tmp_coupon as
(
select
user_id,
sum(if(date_format(get_time,'yyyy-MM-dd')='$do_date',1,0)) coupon_get_count,
sum(if(date_format(using_time,'yyyy-MM-dd')='$do_date',1,0)) coupon_using_count,
sum(if(date_format(used_time,'yyyy-MM-dd')='$do_date',1,0)) coupon_used_count
from ${APP}.dwd_coupon_use
where (dt='$do_date' or dt='9999-99-99')
and (date_format(get_time, 'yyyy-MM-dd') = '$do_date'
or date_format(using_time,'yyyy-MM-dd')='$do_date'
or date_format(used_time,'yyyy-MM-dd')='$do_date')
group by user_id
),
tmp_comment as
(
select
user_id,
sum(if(appraise='1201',1,0)) appraise_good_count,
sum(if(appraise='1202',1,0)) appraise_mid_count,
sum(if(appraise='1203',1,0)) appraise_bad_count,
sum(if(appraise='1204',1,0)) appraise_default_count
from ${APP}.dwd_comment_info
where dt='$do_date'
group by user_id
),
tmp_od as
(
select
user_id,
collect_set(named_struct('sku_id',sku_id,'sku_num',sku_num,'order_count',order_count,'activity_reduce_amount',activity_reduce_amount,'coupon_reduce_amount',coupon_reduce_amount,'original_amount',original_amount,'final_amount',final_amount)) order_detail_stats
from
(
select
user_id,
sku_id,
sum(sku_num) sku_num,
count(*) order_count,
cast(sum(split_activity_amount) as decimal(16,2)) activity_reduce_amount,
cast(sum(split_coupon_amount) as decimal(16,2)) coupon_reduce_amount,
cast(sum(original_amount) as decimal(16,2)) original_amount,
cast(sum(split_final_amount) as decimal(16,2)) final_amount
from ${APP}.dwd_order_detail
where dt='$do_date'
group by user_id,sku_id
)t1
group by user_id
)
insert overwrite table ${APP}.dws_user_action_daycount partition(dt='$do_date')
select
coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id,tmp_rp.user_id,tmp_comment.user_id,tmp_coupon.user_id,tmp_od.user_id),
nvl(login_count,0),
nvl(cart_count,0),
nvl(favor_count,0),
nvl(order_count,0),
nvl(order_activity_count,0),
nvl(order_activity_reduce_amount,0),
nvl(order_coupon_count,0),
nvl(order_coupon_reduce_amount,0),
nvl(order_original_amount,0),
nvl(order_final_amount,0),
nvl(payment_count,0),
nvl(payment_amount,0),
nvl(refund_order_count,0),
nvl(refund_order_num,0),
nvl(refund_order_amount,0),
nvl(refund_payment_count,0),
nvl(refund_payment_num,0),
nvl(refund_payment_amount,0),
nvl(coupon_get_count,0),
nvl(coupon_using_count,0),
nvl(coupon_used_count,0),
nvl(appraise_good_count,0),
nvl(appraise_mid_count,0),
nvl(appraise_bad_count,0),
nvl(appraise_default_count,0),
order_detail_stats
from tmp_login
full outer join tmp_cf on tmp_login.user_id=tmp_cf.user_id
full outer join tmp_order on coalesce(tmp_login.user_id,tmp_cf.user_id)=tmp_order.user_id
full outer join tmp_pay on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id)=tmp_pay.user_id
full outer join tmp_ri on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id)=tmp_ri.user_id
full outer join tmp_rp on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id)=tmp_rp.user_id
full outer join tmp_comment on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id,tmp_rp.user_id)=tmp_comment.user_id
full outer join tmp_coupon on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id,tmp_rp.user_id,tmp_comment.user_id)=tmp_coupon.user_id
full outer join tmp_od on coalesce(tmp_login.user_id,tmp_cf.user_id,tmp_order.user_id,tmp_pay.user_id,tmp_ri.user_id,tmp_rp.user_id,tmp_comment.user_id,tmp_coupon.user_id)=tmp_od.user_id;
"
dws_activity_info_daycount="
with
tmp_order as
(
select
activity_rule_id,
activity_id,
count(*) order_count,
sum(split_activity_amount) order_reduce_amount,
sum(original_amount) order_original_amount,
sum(split_final_amount) order_final_amount
from ${APP}.dwd_order_detail
where dt='$do_date'
and activity_id is not null
group by activity_rule_id,activity_id
),
tmp_pay as
(
select
activity_rule_id,
activity_id,
count(*) payment_count,
sum(split_activity_amount) payment_reduce_amount,
sum(split_final_amount) payment_amount
from ${APP}.dwd_order_detail
where (dt='$do_date'
or dt=date_add('$do_date',-1))
and activity_id is not null
and order_id in
(
select order_id from ${APP}.dwd_payment_info where dt='$do_date'
)
group by activity_rule_id,activity_id
)
insert overwrite table ${APP}.dws_activity_info_daycount partition(dt='$do_date')
select
activity_rule_id,
activity_id,
sum(order_count),
sum(order_reduce_amount),
sum(order_original_amount),
sum(order_final_amount),
sum(payment_count),
sum(payment_reduce_amount),
sum(payment_amount)
from
(
select
activity_rule_id,
activity_id,
order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
0 payment_count,
0 payment_reduce_amount,
0 payment_amount
from tmp_order
union all
select
activity_rule_id,
activity_id,
0 order_count,
0 order_reduce_amount,
0 order_original_amount,
0 order_final_amount,
payment_count,
payment_reduce_amount,
payment_amount
from tmp_pay
)t1
group by activity_rule_id,activity_id;"
dws_sku_action_daycount="
with
tmp_order as
(
select
sku_id,
count(*) order_count,
sum(sku_num) order_num,
sum(if(split_activity_amount>0,1,0)) order_activity_count,
sum(if(split_coupon_amount>0,1,0)) order_coupon_count,
sum(split_activity_amount) order_activity_reduce_amount,
sum(split_coupon_amount) order_coupon_reduce_amount,
sum(original_amount) order_original_amount,
sum(split_final_amount) order_final_amount
from ${APP}.dwd_order_detail
where dt='$do_date'
group by sku_id
),
tmp_pay as
(
select
sku_id,
count(*) payment_count,
sum(sku_num) payment_num,
sum(split_final_amount) payment_amount
from ${APP}.dwd_order_detail
where (dt='$do_date'
or dt=date_add('$do_date',-1))
and order_id in
(
select order_id from ${APP}.dwd_payment_info where dt='$do_date'
)
group by sku_id
),
tmp_ri as
(
select
sku_id,
count(*) refund_order_count,
sum(refund_num) refund_order_num,
sum(refund_amount) refund_order_amount
from ${APP}.dwd_order_refund_info
where dt='$do_date'
group by sku_id
),
tmp_rp as
(
select
rp.sku_id,
count(*) refund_payment_count,
sum(ri.refund_num) refund_payment_num,
sum(refund_amount) refund_payment_amount
from
(
select
order_id,
sku_id,
refund_amount
from ${APP}.dwd_refund_payment
where dt='$do_date'
)rp
left join
(
select
order_id,
sku_id,
refund_num
from ${APP}.dwd_order_refund_info
where dt>=date_add('$do_date',-15)
)ri
on rp.order_id=ri.order_id
and rp.sku_id=ri.sku_id
group by rp.sku_id
),
tmp_cf as
(
select
item sku_id,
sum(if(action_id='cart_add',1,0)) cart_count,
sum(if(action_id='favor_add',1,0)) favor_count
from ${APP}.dwd_action_log
where dt='$do_date'
and action_id in ('cart_add','favor_add')
group by item
),
tmp_comment as
(
select
sku_id,
sum(if(appraise='1201',1,0)) appraise_good_count,
sum(if(appraise='1202',1,0)) appraise_mid_count,
sum(if(appraise='1203',1,0)) appraise_bad_count,
sum(if(appraise='1204',1,0)) appraise_default_count
from ${APP}.dwd_comment_info
where dt='$do_date'
group by sku_id
)
insert overwrite table ${APP}.dws_sku_action_daycount partition(dt='$do_date')
select
sku_id,
sum(order_count),
sum(order_num),
sum(order_activity_count),
sum(order_coupon_count),
sum(order_activity_reduce_amount),
sum(order_coupon_reduce_amount),
sum(order_original_amount),
sum(order_final_amount),
sum(payment_count),
sum(payment_num),
sum(payment_amount),
sum(refund_order_count),
sum(refund_order_num),
sum(refund_order_amount),
sum(refund_payment_count),
sum(refund_payment_num),
sum(refund_payment_amount),
sum(cart_count),
sum(favor_count),
sum(appraise_good_count),
sum(appraise_mid_count),
sum(appraise_bad_count),
sum(appraise_default_count)
from
(
select
sku_id,
order_count,
order_num,
order_activity_count,
order_coupon_count,
order_activity_reduce_amount,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
0 cart_count,
0 favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_order
union all
select
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
payment_count,
payment_num,
payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
0 cart_count,
0 favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_pay
union all
select
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
0 cart_count,
0 favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_ri
union all
select
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
0 cart_count,
0 favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_rp
union all
select
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
cart_count,
favor_count,
0 appraise_good_count,
0 appraise_mid_count,
0 appraise_bad_count,
0 appraise_default_count
from tmp_cf
union all
select
sku_id,
0 order_count,
0 order_num,
0 order_activity_count,
0 order_coupon_count,
0 order_activity_reduce_amount,
0 order_coupon_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_num,
0 payment_amount,
0 refund_order_count,
0 refund_order_num,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_num,
0 refund_payment_amount,
0 cart_count,
0 favor_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from tmp_comment
)t1
group by sku_id;"
dws_coupon_info_daycount="
with
tmp_cu as
(
select
coupon_id,
sum(if(date_format(get_time,'yyyy-MM-dd')='$do_date',1,0)) get_count,
sum(if(date_format(using_time,'yyyy-MM-dd')='$do_date',1,0)) order_count,
sum(if(date_format(used_time,'yyyy-MM-dd')='$do_date',1,0)) payment_count,
sum(if(date_format(expire_time,'yyyy-MM-dd')='$do_date',1,0)) expire_count
from ${APP}.dwd_coupon_use
where dt='9999-99-99'
or dt='$do_date'
group by coupon_id
),
tmp_order as
(
select
coupon_id,
sum(split_coupon_amount) order_reduce_amount,
sum(original_amount) order_original_amount,
sum(split_final_amount) order_final_amount
from ${APP}.dwd_order_detail
where dt='$do_date'
and coupon_id is not null
group by coupon_id
),
tmp_pay as
(
select
coupon_id,
sum(split_coupon_amount) payment_reduce_amount,
sum(split_final_amount) payment_amount
from ${APP}.dwd_order_detail
where (dt='$do_date'
or dt=date_add('$do_date',-1))
and coupon_id is not null
and order_id in
(
select order_id from ${APP}.dwd_payment_info where dt='$do_date'
)
group by coupon_id
)
insert overwrite table ${APP}.dws_coupon_info_daycount partition(dt='$do_date')
select
coupon_id,
sum(get_count),
sum(order_count),
sum(order_reduce_amount),
sum(order_original_amount),
sum(order_final_amount),
sum(payment_count),
sum(payment_reduce_amount),
sum(payment_amount),
sum(expire_count)
from
(
select
coupon_id,
get_count,
order_count,
0 order_reduce_amount,
0 order_original_amount,
0 order_final_amount,
payment_count,
0 payment_reduce_amount,
0 payment_amount,
expire_count
from tmp_cu
union all
select
coupon_id,
0 get_count,
0 order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
0 payment_count,
0 payment_reduce_amount,
0 payment_amount,
0 expire_count
from tmp_order
union all
select
coupon_id,
0 get_count,
0 order_count,
0 order_reduce_amount,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
payment_reduce_amount,
payment_amount,
0 expire_count
from tmp_pay
)t1
group by coupon_id;"
dws_area_stats_daycount="
with
tmp_vu as
(
select
id province_id,
visit_count,
login_count,
visitor_count,
user_count
from
(
select
area_code,
count(*) visit_count,--访客访问次数
count(user_id) login_count,--用户访问次数,等价于sum(if(user_id is not null,1,0))
count(distinct(mid_id)) visitor_count,--访客人数
count(distinct(user_id)) user_count--用户人数
from ${APP}.dwd_page_log
where dt='$do_date'
and last_page_id is null
group by area_code
)tmp
left join ${APP}.dim_base_province area
on tmp.area_code=area.area_code
),
tmp_order as
(
select
province_id,
count(*) order_count,
sum(original_amount) order_original_amount,
sum(final_amount) order_final_amount
from ${APP}.dwd_order_info
where dt='$do_date'
or dt='9999-99-99'
and date_format(create_time,'yyyy-MM-dd')='$do_date'
group by province_id
),
tmp_pay as
(
select
province_id,
count(*) payment_count,
sum(payment_amount) payment_amount
from ${APP}.dwd_payment_info
where dt='$do_date'
group by province_id
),
tmp_ro as
(
select
province_id,
count(*) refund_order_count,
sum(refund_amount) refund_order_amount
from ${APP}.dwd_order_refund_info
where dt='$do_date'
group by province_id
),
tmp_rp as
(
select
province_id,
count(*) refund_payment_count,
sum(refund_amount) refund_payment_amount
from ${APP}.dwd_refund_payment
where dt='$do_date'
group by province_id
)
insert overwrite table ${APP}.dws_area_stats_daycount partition(dt='$do_date')
select
province_id,
sum(visit_count),
sum(login_count),
sum(visitor_count),
sum(user_count),
sum(order_count),
sum(order_original_amount),
sum(order_final_amount),
sum(payment_count),
sum(payment_amount),
sum(refund_order_count),
sum(refund_order_amount),
sum(refund_payment_count),
sum(refund_payment_amount)
from
(
select
province_id,
visit_count,
login_count,
visitor_count,
user_count,
0 order_count,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_amount,
0 refund_order_count,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_amount
from tmp_vu
union all
select
province_id,
0 visit_count,
0 login_count,
0 visitor_count,
0 user_count,
order_count,
order_original_amount,
order_final_amount,
0 payment_count,
0 payment_amount,
0 refund_order_count,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_amount
from tmp_order
union all
select
province_id,
0 visit_count,
0 login_count,
0 visitor_count,
0 user_count,
0 order_count,
0 order_original_amount,
0 order_final_amount,
payment_count,
payment_amount,
0 refund_order_count,
0 refund_order_amount,
0 refund_payment_count,
0 refund_payment_amount
from tmp_pay
union all
select
province_id,
0 visit_count,
0 login_count,
0 visitor_count,
0 user_count,
0 order_count,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_amount,
refund_order_count,
refund_order_amount,
0 refund_payment_count,
0 refund_payment_amount
from tmp_ro
union all
select
province_id,
0 visit_count,
0 login_count,
0 visitor_count,
0 user_count,
0 order_count,
0 order_original_amount,
0 order_final_amount,
0 payment_count,
0 payment_amount,
0 refund_order_count,
0 refund_order_amount,
refund_payment_count,
refund_payment_amount
from tmp_rp
)t1
group by province_id;"
case $1 in
"dws_visitor_action_daycount" )
hive -e "$dws_visitor_action_daycount"
;;
"dws_user_action_daycount" )
hive -e "$dws_user_action_daycount"
;;
"dws_activity_info_daycount" )
hive -e "$dws_activity_info_daycount"
;;
"dws_area_stats_daycount" )
hive -e "$dws_area_stats_daycount"
;;
"dws_sku_action_daycount" )
hive -e "$dws_sku_action_daycount"
;;
"dws_coupon_info_daycount" )
hive -e "$dws_coupon_info_daycount"
;;
"all" )
hive -e "$dws_visitor_action_daycount$dws_user_action_daycount$dws_activity_info_daycount$dws_area_stats_daycount$dws_sku_action_daycount$dws_coupon_info_daycount"
;;
esac
（2）增加执行权限
[lyh@hadoop102 bin]$ chmod +x dwd_to_dws.sh
2）脚本使用
（1）执行脚本
[lyh@hadoop102 bin]$ dwd_to_dws.sh all 2020-06-14
（2）查看数据是否导入成功
三、数仓搭建-DWT层
（1）DWT层首日数据导入脚本
1）编写脚本
（1）在/home/lyh/bin目录下创建脚本dws_to_dwt_init.sh
[lyh@hadoop102 bin]$ vim dws_to_dwt_init.sh
在脚本中填写如下内容
#!/bin/bash
APP=gmall
if [ -n "$2" ] ;then
do_date=$2
else
echo "请传入日期参数"
exit
fi
dwt_visitor_topic="
insert overwrite table ${APP}.dwt_visitor_topic partition(dt='$do_date')
select
nvl(1d_ago.mid_id,old.mid_id),
nvl(1d_ago.brand,old.brand),
nvl(1d_ago.model,old.model),
nvl(1d_ago.channel,old.channel),
nvl(1d_ago.os,old.os),
nvl(1d_ago.area_code,old.area_code),
nvl(1d_ago.version_code,old.version_code),
case when old.mid_id is null and 1d_ago.is_new=1 then '$do_date'
when old.mid_id is null and 1d_ago.is_new=0 then '2020-06-13'--无法获取准确的首次登录日期，给定一个数仓搭建日之前的日期
else old.visit_date_first end,
if(1d_ago.mid_id is not null,'$do_date',old.visit_date_last),
nvl(1d_ago.visit_count,0),
if(1d_ago.mid_id is null,0,1),
nvl(old.visit_last_7d_count,0)+nvl(1d_ago.visit_count,0)- nvl(7d_ago.visit_count,0),
nvl(old.visit_last_7d_day_count,0)+if(1d_ago.mid_id is null,0,1)- if(7d_ago.mid_id is null,0,1),
nvl(old.visit_last_30d_count,0)+nvl(1d_ago.visit_count,0)- nvl(30d_ago.visit_count,0),
nvl(old.visit_last_30d_day_count,0)+if(1d_ago.mid_id is null,0,1)- if(30d_ago.mid_id is null,0,1),
nvl(old.visit_count,0)+nvl(1d_ago.visit_count,0),
nvl(old.visit_day_count,0)+if(1d_ago.mid_id is null,0,1)
from
(
select
mid_id,
brand,
model,
channel,
os,
area_code,
version_code,
visit_date_first,
visit_date_last,
visit_last_1d_count,
visit_last_1d_day_count,
visit_last_7d_count,
visit_last_7d_day_count,
visit_last_30d_count,
visit_last_30d_day_count,
visit_count,
visit_day_count
from ${APP}.dwt_visitor_topic
where dt=date_add('$do_date',-1)
)old
full outer join
(
select
mid_id,
brand,
model,
is_new,
channel,
os,
area_code,
version_code,
visit_count
from ${APP}.dws_visitor_action_daycount
where dt='$do_date'
)1d_ago
on old.mid_id=1d_ago.mid_id
left join
(
select
mid_id,
brand,
model,
is_new,
channel,
os,
area_code,
version_code,
visit_count
from ${APP}.dws_visitor_action_daycount
where dt=date_add('$do_date',-7)
)7d_ago
on old.mid_id=7d_ago.mid_id
left join
(
select
mid_id,
brand,
model,
is_new,
channel,
os,
area_code,
version_code,
visit_count
from ${APP}.dws_visitor_action_daycount
where dt=date_add('$do_date',-30)
)30d_ago
on old.mid_id=30d_ago.mid_id;
"
dwt_user_topic="
insert overwrite table ${APP}.dwt_user_topic partition(dt='$do_date')
select
id,
login_date_first,--以用户的创建日期作为首次登录日期
nvl(login_date_last,date_add('$do_date',-1)),--若有历史登录记录，则根据历史记录获取末次登录日期，否则统一指定一个日期
nvl(login_last_1d_count,0),
nvl(login_last_1d_day_count,0),
nvl(login_last_7d_count,0),
nvl(login_last_7d_day_count,0),
nvl(login_last_30d_count,0),
nvl(login_last_30d_day_count,0),
nvl(login_count,0),
nvl(login_day_count,0),
order_date_first,
order_date_last,
nvl(order_last_1d_count,0),
nvl(order_activity_last_1d_count,0),
nvl(order_activity_reduce_last_1d_amount,0),
nvl(order_coupon_last_1d_count,0),
nvl(order_coupon_reduce_last_1d_amount,0),
nvl(order_last_1d_original_amount,0),
nvl(order_last_1d_final_amount,0),
nvl(order_last_7d_count,0),
nvl(order_activity_last_7d_count,0),
nvl(order_activity_reduce_last_7d_amount,0),
nvl(order_coupon_last_7d_count,0),
nvl(order_coupon_reduce_last_7d_amount,0),
nvl(order_last_7d_original_amount,0),
nvl(order_last_7d_final_amount,0),
nvl(order_last_30d_count,0),
nvl(order_activity_last_30d_count,0),
nvl(order_activity_reduce_last_30d_amount,0),
nvl(order_coupon_last_30d_count,0),
nvl(order_coupon_reduce_last_30d_amount,0),
nvl(order_last_30d_original_amount,0),
nvl(order_last_30d_final_amount,0),
nvl(order_count,0),
nvl(order_activity_count,0),
nvl(order_activity_reduce_amount,0),
nvl(order_coupon_count,0),
nvl(order_coupon_reduce_amount,0),
nvl(order_original_amount,0),
nvl(order_final_amount,0),
payment_date_first,
payment_date_last,
nvl(payment_last_1d_count,0),
nvl(payment_last_1d_amount,0),
nvl(payment_last_7d_count,0),
nvl(payment_last_7d_amount,0),
nvl(payment_last_30d_count,0),
nvl(payment_last_30d_amount,0),
nvl(payment_count,0),
nvl(payment_amount,0),
nvl(refund_order_last_1d_count,0),
nvl(refund_order_last_1d_num,0),
nvl(refund_order_last_1d_amount,0),
nvl(refund_order_last_7d_count,0),
nvl(refund_order_last_7d_num,0),
nvl(refund_order_last_7d_amount,0),
nvl(refund_order_last_30d_count,0),
nvl(refund_order_last_30d_num,0),
nvl(refund_order_last_30d_amount,0),
nvl(refund_order_count,0),
nvl(refund_order_num,0),
nvl(refund_order_amount,0),
nvl(refund_payment_last_1d_count,0),
nvl(refund_payment_last_1d_num,0),
nvl(refund_payment_last_1d_amount,0),
nvl(refund_payment_last_7d_count,0),
nvl(refund_payment_last_7d_num,0),
nvl(refund_payment_last_7d_amount,0),
nvl(refund_payment_last_30d_count,0),
nvl(refund_payment_last_30d_num,0),
nvl(refund_payment_last_30d_amount,0),
nvl(refund_payment_count,0),
nvl(refund_payment_num,0),
nvl(refund_payment_amount,0),
nvl(cart_last_1d_count,0),
nvl(cart_last_7d_count,0),
nvl(cart_last_30d_count,0),
nvl(cart_count,0),
nvl(favor_last_1d_count,0),
nvl(favor_last_7d_count,0),
nvl(favor_last_30d_count,0),
nvl(favor_count,0),
nvl(coupon_last_1d_get_count,0),
nvl(coupon_last_1d_using_count,0),
nvl(coupon_last_1d_used_count,0),
nvl(coupon_last_7d_get_count,0),
nvl(coupon_last_7d_using_count,0),
nvl(coupon_last_7d_used_count,0),
nvl(coupon_last_30d_get_count,0),
nvl(coupon_last_30d_using_count,0),
nvl(coupon_last_30d_used_count,0),
nvl(coupon_get_count,0),
nvl(coupon_using_count,0),
nvl(coupon_used_count,0),
nvl(appraise_last_1d_good_count,0),
nvl(appraise_last_1d_mid_count,0),
nvl(appraise_last_1d_bad_count,0),
nvl(appraise_last_1d_default_count,0),
nvl(appraise_last_7d_good_count,0),
nvl(appraise_last_7d_mid_count,0),
nvl(appraise_last_7d_bad_count,0),
nvl(appraise_last_7d_default_count,0),
nvl(appraise_last_30d_good_count,0),
nvl(appraise_last_30d_mid_count,0),
nvl(appraise_last_30d_bad_count,0),
nvl(appraise_last_30d_default_count,0),
nvl(appraise_good_count,0),
nvl(appraise_mid_count,0),
nvl(appraise_bad_count,0),
nvl(appraise_default_count,0)
from
(
select
id,
date_format(create_time,'yyyy-MM-dd') login_date_first
from ${APP}.dim_user_info
where dt='9999-99-99'
)t1
left join
(
select
user_id user_id,
max(dt) login_date_last,
sum(if(dt='$do_date',login_count,0)) login_last_1d_count,
sum(if(dt='$do_date' and login_count>0,1,0)) login_last_1d_day_count,
sum(if(dt>=date_add('$do_date',-6),login_count,0)) login_last_7d_count,
sum(if(dt>=date_add('$do_date',-6) and login_count>0,1,0)) login_last_7d_day_count,
sum(if(dt>=date_add('$do_date',-29),login_count,0)) login_last_30d_count,
sum(if(dt>=date_add('$do_date',-29) and login_count>0,1,0)) login_last_30d_day_count,
sum(login_count) login_count,
sum(if(login_count>0,1,0)) login_day_count,
min(if(order_count>0,dt,null)) order_date_first,
max(if(order_count>0,dt,null)) order_date_last,
sum(if(dt='$do_date',order_count,0)) order_last_1d_count,
sum(if(dt='$do_date',order_activity_count,0)) order_activity_last_1d_count,
sum(if(dt='$do_date',order_activity_reduce_amount,0)) order_activity_reduce_last_1d_amount,
sum(if(dt='$do_date',order_coupon_count,0)) order_coupon_last_1d_count,
sum(if(dt='$do_date',order_coupon_reduce_amount,0)) order_coupon_reduce_last_1d_amount,
sum(if(dt='$do_date',order_original_amount,0)) order_last_1d_original_amount,
sum(if(dt='$do_date',order_final_amount,0)) order_last_1d_final_amount,
sum(if(dt>=date_add('$do_date',-6),order_count,0)) order_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),order_activity_count,0)) order_activity_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),order_activity_reduce_amount,0)) order_activity_reduce_last_7d_amount,
sum(if(dt>=date_add('$do_date',-6),order_coupon_count,0)) order_coupon_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),order_coupon_reduce_amount,0)) order_coupon_reduce_last_7d_amount,
sum(if(dt>=date_add('$do_date',-6),order_original_amount,0)) order_last_7d_original_amount,
sum(if(dt>=date_add('$do_date',-6),order_final_amount,0)) order_last_7d_final_amount,
sum(if(dt>=date_add('$do_date',-29),order_count,0)) order_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),order_activity_count,0)) order_activity_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),order_activity_reduce_amount,0)) order_activity_reduce_last_30d_amount,
sum(if(dt>=date_add('$do_date',-29),order_coupon_count,0)) order_coupon_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),order_coupon_reduce_amount,0)) order_coupon_reduce_last_30d_amount,
sum(if(dt>=date_add('$do_date',-29),order_original_amount,0)) order_last_30d_original_amount,
sum(if(dt>=date_add('$do_date',-29),order_final_amount,0)) order_last_30d_final_amount,
sum(order_count) order_count,
sum(order_activity_count) order_activity_count,
sum(order_activity_reduce_amount) order_activity_reduce_amount,
sum(order_coupon_count) order_coupon_count,
sum(order_coupon_reduce_amount) order_coupon_reduce_amount,
sum(order_original_amount) order_original_amount,
sum(order_final_amount) order_final_amount,
min(if(payment_count>0,dt,null)) payment_date_first,
max(if(payment_count>0,dt,null)) payment_date_last,
sum(if(dt='$do_date',payment_count,0)) payment_last_1d_count,
sum(if(dt='$do_date',payment_amount,0)) payment_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),payment_count,0)) payment_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),payment_amount,0)) payment_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),payment_count,0)) payment_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),payment_amount,0)) payment_last_30d_amount,
sum(payment_count) payment_count,
sum(payment_amount) payment_amount,
sum(if(dt='$do_date',refund_order_count,0)) refund_order_last_1d_count,
sum(if(dt='$do_date',refund_order_num,0)) refund_order_last_1d_num,
sum(if(dt='$do_date',refund_order_amount,0)) refund_order_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),refund_order_count,0)) refund_order_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),refund_order_num,0)) refund_order_last_7d_num,
sum(if(dt>=date_add('$do_date',-6),refund_order_amount,0)) refund_order_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),refund_order_count,0)) refund_order_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),refund_order_num,0)) refund_order_last_30d_num,
sum(if(dt>=date_add('$do_date',-29),refund_order_amount,0)) refund_order_last_30d_amount,
sum(refund_order_count) refund_order_count,
sum(refund_order_num) refund_order_num,
sum(refund_order_amount) refund_order_amount,
sum(if(dt='$do_date',refund_payment_count,0)) refund_payment_last_1d_count,
sum(if(dt='$do_date',refund_payment_num,0)) refund_payment_last_1d_num,
sum(if(dt='$do_date',refund_payment_amount,0)) refund_payment_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),refund_payment_count,0)) refund_payment_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),refund_payment_num,0)) refund_payment_last_7d_num,
sum(if(dt>=date_add('$do_date',-6),refund_payment_amount,0)) refund_payment_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),refund_payment_count,0)) refund_payment_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),refund_payment_num,0)) refund_payment_last_30d_num,
sum(if(dt>=date_add('$do_date',-29),refund_payment_amount,0)) refund_payment_last_30d_amount,
sum(refund_payment_count) refund_payment_count,
sum(refund_payment_num) refund_payment_num,
sum(refund_payment_amount) refund_payment_amount,
sum(if(dt='$do_date',cart_count,0)) cart_last_1d_count,
sum(if(dt>=date_add('$do_date',-6),cart_count,0)) cart_last_7d_count,
sum(if(dt>=date_add('$do_date',-29),cart_count,0)) cart_last_30d_count,
sum(cart_count) cart_count,
sum(if(dt='$do_date',favor_count,0)) favor_last_1d_count,
sum(if(dt>=date_add('$do_date',-6),favor_count,0)) favor_last_7d_count,
sum(if(dt>=date_add('$do_date',-29),favor_count,0)) favor_last_30d_count,
sum(favor_count) favor_count,
sum(if(dt='$do_date',coupon_get_count,0)) coupon_last_1d_get_count,
sum(if(dt='$do_date',coupon_using_count,0)) coupon_last_1d_using_count,
sum(if(dt='$do_date',coupon_used_count,0)) coupon_last_1d_used_count,
sum(if(dt>=date_add('$do_date',-6),coupon_get_count,0)) coupon_last_7d_get_count,
sum(if(dt>=date_add('$do_date',-6),coupon_using_count,0)) coupon_last_7d_using_count,
sum(if(dt>=date_add('$do_date',-6),coupon_used_count,0)) coupon_last_7d_used_count,
sum(if(dt>=date_add('$do_date',-29),coupon_get_count,0)) coupon_last_30d_get_count,
sum(if(dt>=date_add('$do_date',-29),coupon_using_count,0)) coupon_last_30d_using_count,
sum(if(dt>=date_add('$do_date',-29),coupon_used_count,0)) coupon_last_30d_used_count,
sum(coupon_get_count) coupon_get_count,
sum(coupon_using_count) coupon_using_count,
sum(coupon_used_count) coupon_used_count,
sum(if(dt='$do_date',appraise_good_count,0)) appraise_last_1d_good_count,
sum(if(dt='$do_date',appraise_mid_count,0)) appraise_last_1d_mid_count,
sum(if(dt='$do_date',appraise_bad_count,0)) appraise_last_1d_bad_count,
sum(if(dt='$do_date',appraise_default_count,0)) appraise_last_1d_default_count,
sum(if(dt>=date_add('$do_date',-6),appraise_good_count,0)) appraise_last_7d_good_count,
sum(if(dt>=date_add('$do_date',-6),appraise_mid_count,0)) appraise_last_7d_mid_count,
sum(if(dt>=date_add('$do_date',-6),appraise_bad_count,0)) appraise_last_7d_bad_count,
sum(if(dt>=date_add('$do_date',-6),appraise_default_count,0)) appraise_last_7d_default_count,
sum(if(dt>=date_add('$do_date',-29),appraise_good_count,0)) appraise_last_30d_good_count,
sum(if(dt>=date_add('$do_date',-29),appraise_mid_count,0)) appraise_last_30d_mid_count,
sum(if(dt>=date_add('$do_date',-29),appraise_bad_count,0)) appraise_last_30d_bad_count,
sum(if(dt>=date_add('$do_date',-29),appraise_default_count,0)) appraise_last_30d_default_count,
sum(appraise_good_count) appraise_good_count,
sum(appraise_mid_count) appraise_mid_count,
sum(appraise_bad_count) appraise_bad_count,
sum(appraise_default_count) appraise_default_count
from ${APP}.dws_user_action_daycount
group by user_id
)t2
on t1.id=t2.user_id;
"
dwt_sku_topic="
insert overwrite table ${APP}.dwt_sku_topic partition(dt='$do_date')
select
id,
nvl(order_last_1d_count,0),
nvl(order_last_1d_num,0),
nvl(order_activity_last_1d_count,0),
nvl(order_coupon_last_1d_count,0),
nvl(order_activity_reduce_last_1d_amount,0),
nvl(order_coupon_reduce_last_1d_amount,0),
nvl(order_last_1d_original_amount,0),
nvl(order_last_1d_final_amount,0),
nvl(order_last_7d_count,0),
nvl(order_last_7d_num,0),
nvl(order_activity_last_7d_count,0),
nvl(order_coupon_last_7d_count,0),
nvl(order_activity_reduce_last_7d_amount,0),
nvl(order_coupon_reduce_last_7d_amount,0),
nvl(order_last_7d_original_amount,0),
nvl(order_last_7d_final_amount,0),
nvl(order_last_30d_count,0),
nvl(order_last_30d_num,0),
nvl(order_activity_last_30d_count,0),
nvl(order_coupon_last_30d_count,0),
nvl(order_activity_reduce_last_30d_amount,0),
nvl(order_coupon_reduce_last_30d_amount,0),
nvl(order_last_30d_original_amount,0),
nvl(order_last_30d_final_amount,0),
nvl(order_count,0),
nvl(order_num,0),
nvl(order_activity_count,0),
nvl(order_coupon_count,0),
nvl(order_activity_reduce_amount,0),
nvl(order_coupon_reduce_amount,0),
nvl(order_original_amount,0),
nvl(order_final_amount,0),
nvl(payment_last_1d_count,0),
nvl(payment_last_1d_num,0),
nvl(payment_last_1d_amount,0),
nvl(payment_last_7d_count,0),
nvl(payment_last_7d_num,0),
nvl(payment_last_7d_amount,0),
nvl(payment_last_30d_count,0),
nvl(payment_last_30d_num,0),
nvl(payment_last_30d_amount,0),
nvl(payment_count,0),
nvl(payment_num,0),
nvl(payment_amount,0),
nvl(refund_order_last_1d_count,0),
nvl(refund_order_last_1d_num,0),
nvl(refund_order_last_1d_amount,0),
nvl(refund_order_last_7d_count,0),
nvl(refund_order_last_7d_num,0),
nvl(refund_order_last_7d_amount,0),
nvl(refund_order_last_30d_count,0),
nvl(refund_order_last_30d_num,0),
nvl(refund_order_last_30d_amount,0),
nvl(refund_order_count,0),
nvl(refund_order_num,0),
nvl(refund_order_amount,0),
nvl(refund_payment_last_1d_count,0),
nvl(refund_payment_last_1d_num,0),
nvl(refund_payment_last_1d_amount,0),
nvl(refund_payment_last_7d_count,0),
nvl(refund_payment_last_7d_num,0),
nvl(refund_payment_last_7d_amount,0),
nvl(refund_payment_last_30d_count,0),
nvl(refund_payment_last_30d_num,0),
nvl(refund_payment_last_30d_amount,0),
nvl(refund_payment_count,0),
nvl(refund_payment_num,0),
nvl(refund_payment_amount,0),
nvl(cart_last_1d_count,0),
nvl(cart_last_7d_count,0),
nvl(cart_last_30d_count,0),
nvl(cart_count,0),
nvl(favor_last_1d_count,0),
nvl(favor_last_7d_count,0),
nvl(favor_last_30d_count,0),
nvl(favor_count,0),
nvl(appraise_last_1d_good_count,0),
nvl(appraise_last_1d_mid_count,0),
nvl(appraise_last_1d_bad_count,0),
nvl(appraise_last_1d_default_count,0),
nvl(appraise_last_7d_good_count,0),
nvl(appraise_last_7d_mid_count,0),
nvl(appraise_last_7d_bad_count,0),
nvl(appraise_last_7d_default_count,0),
nvl(appraise_last_30d_good_count,0),
nvl(appraise_last_30d_mid_count,0),
nvl(appraise_last_30d_bad_count,0),
nvl(appraise_last_30d_default_count,0),
nvl(appraise_good_count,0),
nvl(appraise_mid_count,0),
nvl(appraise_bad_count,0),
nvl(appraise_default_count,0)
from
(
select
id
from ${APP}.dim_sku_info
where dt='$do_date'
)t1
left join
(
select
sku_id,
sum(if(dt='$do_date',order_count,0)) order_last_1d_count,
sum(if(dt='$do_date',order_num,0)) order_last_1d_num,
sum(if(dt='$do_date',order_activity_count,0)) order_activity_last_1d_count,
sum(if(dt='$do_date',order_coupon_count,0)) order_coupon_last_1d_count,
sum(if(dt='$do_date',order_activity_reduce_amount,0)) order_activity_reduce_last_1d_amount,
sum(if(dt='$do_date',order_coupon_reduce_amount,0)) order_coupon_reduce_last_1d_amount,
sum(if(dt='$do_date',order_original_amount,0)) order_last_1d_original_amount,
sum(if(dt='$do_date',order_final_amount,0)) order_last_1d_final_amount,
sum(if(dt>=date_add('$do_date',-6),order_count,0)) order_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),order_num,0)) order_last_7d_num,
sum(if(dt>=date_add('$do_date',-6),order_activity_count,0)) order_activity_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),order_coupon_count,0)) order_coupon_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),order_activity_reduce_amount,0)) order_activity_reduce_last_7d_amount,
sum(if(dt>=date_add('$do_date',-6),order_coupon_reduce_amount,0)) order_coupon_reduce_last_7d_amount,
sum(if(dt>=date_add('$do_date',-6),order_original_amount,0)) order_last_7d_original_amount,
sum(if(dt>=date_add('$do_date',-6),order_final_amount,0)) order_last_7d_final_amount,
sum(if(dt>=date_add('$do_date',-29),order_count,0)) order_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),order_num,0)) order_last_30d_num,
sum(if(dt>=date_add('$do_date',-29),order_activity_count,0)) order_activity_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),order_coupon_count,0)) order_coupon_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),order_activity_reduce_amount,0)) order_activity_reduce_last_30d_amount,
sum(if(dt>=date_add('$do_date',-29),order_coupon_reduce_amount,0)) order_coupon_reduce_last_30d_amount,
sum(if(dt>=date_add('$do_date',-29),order_original_amount,0)) order_last_30d_original_amount,
sum(if(dt>=date_add('$do_date',-29),order_final_amount,0)) order_last_30d_final_amount,
sum(order_count) order_count,
sum(order_num) order_num,
sum(order_activity_count) order_activity_count,
sum(order_coupon_count) order_coupon_count,
sum(order_activity_reduce_amount) order_activity_reduce_amount,
sum(order_coupon_reduce_amount) order_coupon_reduce_amount,
sum(order_original_amount) order_original_amount,
sum(order_final_amount) order_final_amount,
sum(if(dt='$do_date',payment_count,0)) payment_last_1d_count,
sum(if(dt='$do_date',payment_num,0)) payment_last_1d_num,
sum(if(dt='$do_date',payment_amount,0)) payment_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),payment_count,0)) payment_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),payment_num,0)) payment_last_7d_num,
sum(if(dt>=date_add('$do_date',-6),payment_amount,0)) payment_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),payment_count,0)) payment_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),payment_num,0)) payment_last_30d_num,
sum(if(dt>=date_add('$do_date',-29),payment_amount,0)) payment_last_30d_amount,
sum(payment_count) payment_count,
sum(payment_num) payment_num,
sum(payment_amount) payment_amount,
sum(if(dt='$do_date',refund_order_count,0)) refund_order_last_1d_count,
sum(if(dt='$do_date',refund_order_num,0)) refund_order_last_1d_num,
sum(if(dt='$do_date',refund_order_amount,0)) refund_order_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),refund_order_count,0)) refund_order_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),refund_order_num,0)) refund_order_last_7d_num,
sum(if(dt>=date_add('$do_date',-6),refund_order_amount,0)) refund_order_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),refund_order_count,0)) refund_order_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),refund_order_num,0)) refund_order_last_30d_num,
sum(if(dt>=date_add('$do_date',-29),refund_order_amount,0)) refund_order_last_30d_amount,
sum(refund_order_count) refund_order_count,
sum(refund_order_num) refund_order_num,
sum(refund_order_amount) refund_order_amount,
sum(if(dt='$do_date',refund_payment_count,0)) refund_payment_last_1d_count,
sum(if(dt='$do_date',refund_payment_num,0)) refund_payment_last_1d_num,
sum(if(dt='$do_date',refund_payment_amount,0)) refund_payment_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),refund_payment_count,0)) refund_payment_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),refund_payment_num,0)) refund_payment_last_7d_num,
sum(if(dt>=date_add('$do_date',-6),refund_payment_amount,0)) refund_payment_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),refund_payment_count,0)) refund_payment_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),refund_payment_num,0)) refund_payment_last_30d_num,
sum(if(dt>=date_add('$do_date',-29),refund_payment_amount,0)) refund_payment_last_30d_amount,
sum(refund_payment_count) refund_payment_count,
sum(refund_payment_num) refund_payment_num,
sum(refund_payment_amount) refund_payment_amount,
sum(if(dt='$do_date',cart_count,0)) cart_last_1d_count,
sum(if(dt>=date_add('$do_date',-6),cart_count,0)) cart_last_7d_count,
sum(if(dt>=date_add('$do_date',-29),cart_count,0)) cart_last_30d_count,
sum(cart_count) cart_count,
sum(if(dt='$do_date',favor_count,0)) favor_last_1d_count,
sum(if(dt>=date_add('$do_date',-6),favor_count,0)) favor_last_7d_count,
sum(if(dt>=date_add('$do_date',-29),favor_count,0)) favor_last_30d_count,
sum(favor_count) favor_count,
sum(if(dt='$do_date',appraise_good_count,0)) appraise_last_1d_good_count,
sum(if(dt='$do_date',appraise_mid_count,0)) appraise_last_1d_mid_count,
sum(if(dt='$do_date',appraise_bad_count,0)) appraise_last_1d_bad_count,
sum(if(dt='$do_date',appraise_default_count,0)) appraise_last_1d_default_count,
sum(if(dt>=date_add('$do_date',-6),appraise_good_count,0)) appraise_last_7d_good_count,
sum(if(dt>=date_add('$do_date',-6),appraise_mid_count,0)) appraise_last_7d_mid_count,
sum(if(dt>=date_add('$do_date',-6),appraise_bad_count,0)) appraise_last_7d_bad_count,
sum(if(dt>=date_add('$do_date',-6),appraise_default_count,0)) appraise_last_7d_default_count,
sum(if(dt>=date_add('$do_date',-29),appraise_good_count,0)) appraise_last_30d_good_count,
sum(if(dt>=date_add('$do_date',-29),appraise_mid_count,0)) appraise_last_30d_mid_count,
sum(if(dt>=date_add('$do_date',-29),appraise_bad_count,0)) appraise_last_30d_bad_count,
sum(if(dt>=date_add('$do_date',-29),appraise_default_count,0)) appraise_last_30d_default_count,
sum(appraise_good_count) appraise_good_count,
sum(appraise_mid_count) appraise_mid_count,
sum(appraise_bad_count) appraise_bad_count,
sum(appraise_default_count) appraise_default_count
from ${APP}.dws_sku_action_daycount
group by sku_id
)t2
on t1.id=t2.sku_id;
"
dwt_coupon_topic="
insert overwrite table ${APP}.dwt_coupon_topic partition(dt='$do_date')
select
id,
nvl(get_last_1d_count,0),
nvl(get_last_7d_count,0),
nvl(get_last_30d_count,0),
nvl(get_count,0),
nvl(order_last_1d_count,0),
nvl(order_last_1d_reduce_amount,0),
nvl(order_last_1d_original_amount,0),
nvl(order_last_1d_final_amount,0),
nvl(order_last_7d_count,0),
nvl(order_last_7d_reduce_amount,0),
nvl(order_last_7d_original_amount,0),
nvl(order_last_7d_final_amount,0),
nvl(order_last_30d_count,0),
nvl(order_last_30d_reduce_amount,0),
nvl(order_last_30d_original_amount,0),
nvl(order_last_30d_final_amount,0),
nvl(order_count,0),
nvl(order_reduce_amount,0),
nvl(order_original_amount,0),
nvl(order_final_amount,0),
nvl(payment_last_1d_count,0),
nvl(payment_last_1d_reduce_amount,0),
nvl(payment_last_1d_amount,0),
nvl(payment_last_7d_count,0),
nvl(payment_last_7d_reduce_amount,0),
nvl(payment_last_7d_amount,0),
nvl(payment_last_30d_count,0),
nvl(payment_last_30d_reduce_amount,0),
nvl(payment_last_30d_amount,0),
nvl(payment_count,0),
nvl(payment_reduce_amount,0),
nvl(payment_amount,0),
nvl(expire_last_1d_count,0),
nvl(expire_last_7d_count,0),
nvl(expire_last_30d_count,0),
nvl(expire_count,0)
from
(
select
id
from ${APP}.dim_coupon_info
where dt='$do_date'
)t1
left join
(
select
coupon_id coupon_id,
sum(if(dt='$do_date',get_count,0)) get_last_1d_count,
sum(if(dt>=date_add('$do_date',-6),get_count,0)) get_last_7d_count,
sum(if(dt>=date_add('$do_date',-29),get_count,0)) get_last_30d_count,
sum(get_count) get_count,
sum(if(dt='$do_date',order_count,0)) order_last_1d_count,
sum(if(dt='$do_date',order_reduce_amount,0)) order_last_1d_reduce_amount,
sum(if(dt='$do_date',order_original_amount,0)) order_last_1d_original_amount,
sum(if(dt='$do_date',order_final_amount,0)) order_last_1d_final_amount,
sum(if(dt>=date_add('$do_date',-6),order_count,0)) order_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),order_reduce_amount,0)) order_last_7d_reduce_amount,
sum(if(dt>=date_add('$do_date',-6),order_original_amount,0)) order_last_7d_original_amount,
sum(if(dt>=date_add('$do_date',-6),order_final_amount,0)) order_last_7d_final_amount,
sum(if(dt>=date_add('$do_date',-29),order_count,0)) order_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),order_reduce_amount,0)) order_last_30d_reduce_amount,
sum(if(dt>=date_add('$do_date',-29),order_original_amount,0)) order_last_30d_original_amount,
sum(if(dt>=date_add('$do_date',-29),order_final_amount,0)) order_last_30d_final_amount,
sum(order_count) order_count,
sum(order_reduce_amount) order_reduce_amount,
sum(order_original_amount) order_original_amount,
sum(order_final_amount) order_final_amount,
sum(if(dt='$do_date',payment_count,0)) payment_last_1d_count,
sum(if(dt='$do_date',payment_reduce_amount,0)) payment_last_1d_reduce_amount,
sum(if(dt='$do_date',payment_amount,0)) payment_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),payment_count,0)) payment_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),payment_reduce_amount,0)) payment_last_7d_reduce_amount,
sum(if(dt>=date_add('$do_date',-6),payment_amount,0)) payment_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),payment_count,0)) payment_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),payment_reduce_amount,0)) payment_last_30d_reduce_amount,
sum(if(dt>=date_add('$do_date',-29),payment_amount,0)) payment_last_30d_amount,
sum(payment_count) payment_count,
sum(payment_reduce_amount) payment_reduce_amount,
sum(payment_amount) payment_amount,
sum(if(dt='$do_date',expire_count,0)) expire_last_1d_count,
sum(if(dt>=date_add('$do_date',-6),expire_count,0)) expire_last_7d_count,
sum(if(dt>=date_add('$do_date',-29),expire_count,0)) expire_last_30d_count,
sum(expire_count) expire_count
from ${APP}.dws_coupon_info_daycount
group by coupon_id
)t2
on t1.id=t2.coupon_id;
"
dwt_activity_topic="
insert overwrite table ${APP}.dwt_activity_topic partition(dt='$do_date')
select
t1.activity_rule_id,
t1.activity_id,
nvl(order_last_1d_count,0),
nvl(order_last_1d_reduce_amount,0),
nvl(order_last_1d_original_amount,0),
nvl(order_last_1d_final_amount,0),
nvl(order_count,0),
nvl(order_reduce_amount,0),
nvl(order_original_amount,0),
nvl(order_final_amount,0),
nvl(payment_last_1d_count,0),
nvl(payment_last_1d_reduce_amount,0),
nvl(payment_last_1d_amount,0),
nvl(payment_count,0),
nvl(payment_reduce_amount,0),
nvl(payment_amount,0)
from
(
select
activity_rule_id,
activity_id
from ${APP}.dim_activity_rule_info
where dt='$do_date'
)t1
left join
(
select
activity_rule_id,
activity_id,
sum(if(dt='$do_date',order_count,0)) order_last_1d_count,
sum(if(dt='$do_date',order_reduce_amount,0)) order_last_1d_reduce_amount,
sum(if(dt='$do_date',order_original_amount,0)) order_last_1d_original_amount,
sum(if(dt='$do_date',order_final_amount,0)) order_last_1d_final_amount,
sum(order_count) order_count,
sum(order_reduce_amount) order_reduce_amount,
sum(order_original_amount) order_original_amount,
sum(order_final_amount) order_final_amount,
sum(if(dt='$do_date',payment_count,0)) payment_last_1d_count,
sum(if(dt='$do_date',payment_reduce_amount,0)) payment_last_1d_reduce_amount,
sum(if(dt='$do_date',payment_amount,0)) payment_last_1d_amount,
sum(payment_count) payment_count,
sum(payment_reduce_amount) payment_reduce_amount,
sum(payment_amount) payment_amount
from ${APP}.dws_activity_info_daycount
group by activity_rule_id,activity_id
)t2
on t1.activity_rule_id=t2.activity_rule_id
and t1.activity_id=t2.activity_id;
"
dwt_area_topic="
insert overwrite table ${APP}.dwt_area_topic partition(dt='$do_date')
select
id,
nvl(visit_last_1d_count,0),
nvl(login_last_1d_count,0),
nvl(visit_last_7d_count,0),
nvl(login_last_7d_count,0),
nvl(visit_last_30d_count,0),
nvl(login_last_30d_count,0),
nvl(visit_count,0),
nvl(login_count,0),
nvl(order_last_1d_count,0),
nvl(order_last_1d_original_amount,0),
nvl(order_last_1d_final_amount,0),
nvl(order_last_7d_count,0),
nvl(order_last_7d_original_amount,0),
nvl(order_last_7d_final_amount,0),
nvl(order_last_30d_count,0),
nvl(order_last_30d_original_amount,0),
nvl(order_last_30d_final_amount,0),
nvl(order_count,0),
nvl(order_original_amount,0),
nvl(order_final_amount,0),
nvl(payment_last_1d_count,0),
nvl(payment_last_1d_amount,0),
nvl(payment_last_7d_count,0),
nvl(payment_last_7d_amount,0),
nvl(payment_last_30d_count,0),
nvl(payment_last_30d_amount,0),
nvl(payment_count,0),
nvl(payment_amount,0),
nvl(refund_order_last_1d_count,0),
nvl(refund_order_last_1d_amount,0),
nvl(refund_order_last_7d_count,0),
nvl(refund_order_last_7d_amount,0),
nvl(refund_order_last_30d_count,0),
nvl(refund_order_last_30d_amount,0),
nvl(refund_order_count,0),
nvl(refund_order_amount,0),
nvl(refund_payment_last_1d_count,0),
nvl(refund_payment_last_1d_amount,0),
nvl(refund_payment_last_7d_count,0),
nvl(refund_payment_last_7d_amount,0),
nvl(refund_payment_last_30d_count,0),
nvl(refund_payment_last_30d_amount,0),
nvl(refund_payment_count,0),
nvl(refund_payment_amount,0)
from
(
select
id
from ${APP}.dim_base_province
)t1
left join
(
select
province_id province_id,
sum(if(dt='$do_date',visit_count,0)) visit_last_1d_count,
sum(if(dt='$do_date',login_count,0)) login_last_1d_count,
sum(if(dt>=date_add('$do_date',-6),visit_count,0)) visit_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),login_count,0)) login_last_7d_count,
sum(if(dt>=date_add('$do_date',-29),visit_count,0)) visit_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),login_count,0)) login_last_30d_count,
sum(visit_count) visit_count,
sum(login_count) login_count,
sum(if(dt='$do_date',order_count,0)) order_last_1d_count,
sum(if(dt='$do_date',order_original_amount,0)) order_last_1d_original_amount,
sum(if(dt='$do_date',order_final_amount,0)) order_last_1d_final_amount,
sum(if(dt>=date_add('$do_date',-6),order_count,0)) order_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),order_original_amount,0)) order_last_7d_original_amount,
sum(if(dt>=date_add('$do_date',-6),order_final_amount,0)) order_last_7d_final_amount,
sum(if(dt>=date_add('$do_date',-29),order_count,0)) order_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),order_original_amount,0)) order_last_30d_original_amount,
sum(if(dt>=date_add('$do_date',-29),order_final_amount,0)) order_last_30d_final_amount,
sum(order_count) order_count,
sum(order_original_amount) order_original_amount,
sum(order_final_amount) order_final_amount,
sum(if(dt='$do_date',payment_count,0)) payment_last_1d_count,
sum(if(dt='$do_date',payment_amount,0)) payment_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),payment_count,0)) payment_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),payment_amount,0)) payment_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),payment_count,0)) payment_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),payment_amount,0)) payment_last_30d_amount,
sum(payment_count) payment_count,
sum(payment_amount) payment_amount,
sum(if(dt='$do_date',refund_order_count,0)) refund_order_last_1d_count,
sum(if(dt='$do_date',refund_order_amount,0)) refund_order_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),refund_order_count,0)) refund_order_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),refund_order_amount,0)) refund_order_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),refund_order_count,0)) refund_order_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),refund_order_amount,0)) refund_order_last_30d_amount,
sum(refund_order_count) refund_order_count,
sum(refund_order_amount) refund_order_amount,
sum(if(dt='$do_date',refund_payment_count,0)) refund_payment_last_1d_count,
sum(if(dt='$do_date',refund_payment_amount,0)) refund_payment_last_1d_amount,
sum(if(dt>=date_add('$do_date',-6),refund_payment_count,0)) refund_payment_last_7d_count,
sum(if(dt>=date_add('$do_date',-6),refund_payment_amount,0)) refund_payment_last_7d_amount,
sum(if(dt>=date_add('$do_date',-29),refund_payment_count,0)) refund_payment_last_30d_count,
sum(if(dt>=date_add('$do_date',-29),refund_payment_amount,0)) refund_payment_last_30d_amount,
sum(refund_payment_count) refund_payment_count,
sum(refund_payment_amount) refund_payment_amount
from ${APP}.dws_area_stats_daycount
group by province_id
)t2
on t1.id=t2.province_id;
"
case $1 in
"dwt_visitor_topic" )
hive -e "$dwt_visitor_topic"
;;
"dwt_user_topic" )
hive -e "$dwt_user_topic"
;;
"dwt_sku_topic" )
hive -e "$dwt_sku_topic"
;;
"dwt_activity_topic" )
hive -e "$dwt_activity_topic"
;;
"dwt_coupon_topic" )
hive -e "$dwt_coupon_topic"
;;
"dwt_area_topic" )
hive -e "$dwt_area_topic"
;;
"all" )
hive -e "$dwt_visitor_topic$dwt_user_topic$dwt_sku_topic$dwt_activity_topic$dwt_coupon_topic$dwt_area_topic"
;;
esac
（2）增加执行权限
[lyh@hadoop102 bin]$ chmod +x dws_to_dwt_init.sh
2）脚本使用
（1）执行脚本
[lyh@hadoop102 bin]$ dws_to_dwt_init.sh all 2020-06-14
（2）查看数据是否导入成功
（2）DWT层每日数据导入脚本
1）编写脚本
（1）在/home/lyh/bin目录下创建脚本dws_to_dwt.sh
[lyh@hadoop102 bin]$ vim dws_to_dwt.sh
在脚本中填写如下内容
#!/bin/bash
APP=gmall
# 如果是输入的日期按照取输入日期；如果没输入日期取当前时间的前一天
if [ -n "$2" ] ;then
do_date=$2
else
do_date=`date -d "-1 day" +%F`
fi
clear_date=`date -d "$do_date -2 day" +%F`
dwt_visitor_topic="
insert overwrite table ${APP}.dwt_visitor_topic partition(dt='$do_date')
select
nvl(1d_ago.mid_id,old.mid_id),
nvl(1d_ago.brand,old.brand),
nvl(1d_ago.model,old.model),
nvl(1d_ago.channel,old.channel),
nvl(1d_ago.os,old.os),
nvl(1d_ago.area_code,old.area_code),
nvl(1d_ago.version_code,old.version_code),
case when old.mid_id is null and 1d_ago.is_new=1 then '$do_date'
when old.mid_id is null and 1d_ago.is_new=0 then '2020-06-13'--无法获取准确的首次登录日期，给定一个数仓搭建日之前的日期
else old.visit_date_first end,
if(1d_ago.mid_id is not null,'$do_date',old.visit_date_last),
nvl(1d_ago.visit_count,0),
if(1d_ago.mid_id is null,0,1),
nvl(old.visit_last_7d_count,0)+nvl(1d_ago.visit_count,0)- nvl(7d_ago.visit_count,0),
nvl(old.visit_last_7d_day_count,0)+if(1d_ago.mid_id is null,0,1)- if(7d_ago.mid_id is null,0,1),
nvl(old.visit_last_30d_count,0)+nvl(1d_ago.visit_count,0)- nvl(30d_ago.visit_count,0),
nvl(old.visit_last_30d_day_count,0)+if(1d_ago.mid_id is null,0,1)- if(30d_ago.mid_id is null,0,1),
nvl(old.visit_count,0)+nvl(1d_ago.visit_count,0),
nvl(old.visit_day_count,0)+if(1d_ago.mid_id is null,0,1)
from
(
select
mid_id,
brand,
model,
channel,
os,
area_code,
version_code,
visit_date_first,
visit_date_last,
visit_last_1d_count,
visit_last_1d_day_count,
visit_last_7d_count,
visit_last_7d_day_count,
visit_last_30d_count,
visit_last_30d_day_count,
visit_count,
visit_day_count
from ${APP}.dwt_visitor_topic
where dt=date_add('$do_date',-1)
)old
full outer join
(
select
mid_id,
brand,
model,
is_new,
channel,
os,
area_code,
version_code,
visit_count
from ${APP}.dws_visitor_action_daycount
where dt='$do_date'
)1d_ago
on old.mid_id=1d_ago.mid_id
left join
(
select
mid_id,
brand,
model,
is_new,
channel,
os,
area_code,
version_code,
visit_count
from ${APP}.dws_visitor_action_daycount
where dt=date_add('$do_date',-7)
)7d_ago
on old.mid_id=7d_ago.mid_id
left join
(
select
mid_id,
brand,
model,
is_new,
channel,
os,
area_code,
version_code,
visit_count
from ${APP}.dws_visitor_action_daycount
where dt=date_add('$do_date',-30)
)30d_ago
on old.mid_id=30d_ago.mid_id;
alter table ${APP}.dwt_visitor_topic drop partition(dt='$clear_date');
"
dwt_user_topic="
insert overwrite table ${APP}.dwt_user_topic partition(dt='$do_date')
select
nvl(1d_ago.user_id,old.user_id),
nvl(old.login_date_first,'$do_date'),
if(1d_ago.user_id is not null,'$do_date',old.login_date_last),
nvl(1d_ago.login_count,0),
if(1d_ago.user_id is not null,1,0),
nvl(old.login_last_7d_count,0)+nvl(1d_ago.login_count,0)- nvl(7d_ago.login_count,0),
nvl(old.login_last_7d_day_count,0)+if(1d_ago.user_id is null,0,1)- if(7d_ago.user_id is null,0,1),
nvl(old.login_last_30d_count,0)+nvl(1d_ago.login_count,0)- nvl(30d_ago.login_count,0),
nvl(old.login_last_30d_day_count,0)+if(1d_ago.user_id is null,0,1)- if(30d_ago.user_id is null,0,1),
nvl(old.login_count,0)+nvl(1d_ago.login_count,0),
nvl(old.login_day_count,0)+if(1d_ago.user_id is not null,1,0),
if(old.order_date_first is null and 1d_ago.order_count>0, '$do_date', old.order_date_first),
if(1d_ago.order_count>0,'$do_date',old.order_date_last),
nvl(1d_ago.order_count,0),
nvl(1d_ago.order_activity_count,0),
nvl(1d_ago.order_activity_reduce_amount,0.0),
nvl(1d_ago.order_coupon_count,0),
nvl(1d_ago.order_coupon_reduce_amount,0.0),
nvl(1d_ago.order_original_amount,0.0),
nvl(1d_ago.order_final_amount,0.0),
nvl(old.order_last_7d_count,0)+nvl(1d_ago.order_count,0)- nvl(7d_ago.order_count,0),
nvl(old.order_activity_last_7d_count,0)+nvl(1d_ago.order_activity_count,0)- nvl(7d_ago.order_activity_count,0),
nvl(old.order_activity_reduce_last_7d_amount,0.0)+nvl(1d_ago.order_activity_reduce_amount,0.0)- nvl(7d_ago.order_activity_reduce_amount,0.0),
nvl(old.order_coupon_last_7d_count,0)+nvl(1d_ago.order_coupon_count,0)- nvl(7d_ago.order_coupon_count,0),
nvl(old.order_coupon_reduce_last_7d_amount,0.0)+nvl(1d_ago.order_coupon_reduce_amount,0.0)- nvl(7d_ago.order_coupon_reduce_amount,0.0),
nvl(old.order_last_7d_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0)- nvl(7d_ago.order_original_amount,0.0),
nvl(old.order_last_7d_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0)- nvl(7d_ago.order_final_amount,0.0),
nvl(old.order_last_30d_count,0)+nvl(1d_ago.order_count,0)- nvl(30d_ago.order_count,0),
nvl(old.order_activity_last_30d_count,0)+nvl(1d_ago.order_activity_count,0)- nvl(30d_ago.order_activity_count,0),
nvl(old.order_activity_reduce_last_30d_amount,0.0)+nvl(1d_ago.order_activity_reduce_amount,0.0)- nvl(30d_ago.order_activity_reduce_amount,0.0),
nvl(old.order_coupon_last_30d_count,0)+nvl(1d_ago.order_coupon_count,0)- nvl(30d_ago.order_coupon_count,0),
nvl(old.order_coupon_reduce_last_30d_amount,0.0)+nvl(1d_ago.order_coupon_reduce_amount,0.0)- nvl(30d_ago.order_coupon_reduce_amount,0.0),
nvl(old.order_last_30d_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0)- nvl(30d_ago.order_original_amount,0.0),
nvl(old.order_last_30d_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0)- nvl(30d_ago.order_final_amount,0.0),
nvl(old.order_count,0)+nvl(1d_ago.order_count,0),
nvl(old.order_activity_count,0)+nvl(1d_ago.order_activity_count,0),
nvl(old.order_activity_reduce_amount,0.0)+nvl(1d_ago.order_activity_reduce_amount,0.0),
nvl(old.order_coupon_count,0)+nvl(1d_ago.order_coupon_count,0),
nvl(old.order_coupon_reduce_amount,0.0)+nvl(1d_ago.order_coupon_reduce_amount,0.0),
nvl(old.order_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0),
nvl(old.order_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0),
if(old.payment_date_first is null and 1d_ago.payment_count>0, '$do_date', old.payment_date_first),
if(1d_ago.payment_count>0,'$do_date',old.payment_date_last),
nvl(1d_ago.payment_count,0),
nvl(1d_ago.payment_amount,0.0),
nvl(old.payment_last_7d_count,0)+nvl(1d_ago.payment_count,0)-nvl(7d_ago.payment_count,0),
nvl(old.payment_last_7d_amount,0.0)+nvl(1d_ago.payment_amount,0.0)-nvl(7d_ago.payment_amount,0.0),
nvl(old.payment_last_30d_count,0)+nvl(1d_ago.payment_count,0)-nvl(30d_ago.payment_count,0),
nvl(old.payment_last_30d_amount,0.0)+nvl(1d_ago.payment_amount,0.0)- nvl(30d_ago.payment_amount,0.0),
nvl(old.payment_count,0)+nvl(1d_ago.payment_count,0),
nvl(old.payment_amount,0.0)+nvl(1d_ago.payment_amount,0.0),
nvl(1d_ago.refund_order_count,0),
nvl(1d_ago.refund_order_num,0),
nvl(1d_ago.refund_order_amount,0.0),
nvl(old.refund_order_last_7d_count,0)+nvl(1d_ago.refund_order_count,0)- nvl(7d_ago.refund_order_count,0),
nvl(old.refund_order_last_7d_num,0)+nvl(1d_ago.refund_order_num, 0)- nvl(7d_ago.refund_order_num,0),
nvl(old.refund_order_last_7d_amount,0.0)+ nvl(1d_ago.refund_order_amount,0.0)- nvl(7d_ago.refund_order_amount,0.0),
nvl(old.refund_order_last_30d_count,0)+nvl(1d_ago.refund_order_count,0)- nvl(30d_ago.refund_order_count,0),
nvl(old.refund_order_last_30d_num,0)+nvl(1d_ago.refund_order_num, 0)- nvl(30d_ago.refund_order_num,0),
nvl(old.refund_order_last_30d_amount,0.0)+ nvl(1d_ago.refund_order_amount,0.0)- nvl(30d_ago.refund_order_amount,0.0),
nvl(old.refund_order_count,0)+nvl(1d_ago.refund_order_count,0),
nvl(old.refund_order_num,0)+nvl(1d_ago.refund_order_num,0),
nvl(old.refund_order_amount,0.0)+ nvl(1d_ago.refund_order_amount,0.0),
nvl(1d_ago.refund_payment_count,0),
nvl(1d_ago.refund_payment_num,0),
nvl(1d_ago.refund_payment_amount,0.0),
nvl(old.refund_payment_last_7d_count,0)+nvl(1d_ago.refund_payment_count,0)-nvl(7d_ago.refund_payment_count,0),
nvl(old.refund_payment_last_7d_num,0)+nvl(1d_ago.refund_payment_num,0)- nvl(7d_ago.refund_payment_num,0),
nvl(old.refund_payment_last_7d_amount,0.0)+ nvl(1d_ago.refund_payment_amount,0.0)- nvl(7d_ago.refund_payment_amount,0.0),
nvl(old.refund_payment_last_30d_count,0)+nvl(1d_ago.refund_payment_count,0)-nvl(30d_ago.refund_payment_count,0),
nvl(old.refund_payment_last_30d_num,0)+nvl(1d_ago.refund_payment_num,0)- nvl(30d_ago.refund_payment_num,0),
nvl(old.refund_payment_last_30d_amount,0.0)+ nvl(1d_ago.refund_payment_amount,0.0)- nvl(30d_ago.refund_payment_amount,0.0),
nvl(old.refund_payment_count,0)+nvl(1d_ago.refund_payment_count,0),
nvl(old.refund_payment_num,0)+nvl(1d_ago.refund_payment_num,0),
nvl(old.refund_payment_amount,0.0)+nvl(1d_ago.refund_payment_amount,0.0),
nvl(1d_ago.cart_count,0),
nvl(old.cart_last_7d_count,0)+nvl(1d_ago.cart_count,0)-nvl(7d_ago.cart_count,0),
nvl(old.cart_last_30d_count,0)+nvl(1d_ago.cart_count,0)-nvl(30d_ago.cart_count,0),
nvl(old.cart_count,0)+nvl(1d_ago.cart_count,0),
nvl(1d_ago.favor_count,0),
nvl(old.favor_last_7d_count,0)+nvl(1d_ago.favor_count,0)- nvl(7d_ago.favor_count,0),
nvl(old.favor_last_30d_count,0)+nvl(1d_ago.favor_count,0)- nvl(30d_ago.favor_count,0),
nvl(old.favor_count,0)+nvl(1d_ago.favor_count,0),
nvl(1d_ago.coupon_get_count,0),
nvl(1d_ago.coupon_using_count,0),
nvl(1d_ago.coupon_used_count,0),
nvl(old.coupon_last_7d_get_count,0)+nvl(1d_ago.coupon_get_count,0)- nvl(7d_ago.coupon_get_count,0),
nvl(old.coupon_last_7d_using_count,0)+nvl(1d_ago.coupon_using_count,0)- nvl(7d_ago.coupon_using_count,0),
nvl(old.coupon_last_7d_used_count,0)+ nvl(1d_ago.coupon_used_count,0)- nvl(7d_ago.coupon_used_count,0),
nvl(old.coupon_last_30d_get_count,0)+nvl(1d_ago.coupon_get_count,0)- nvl(30d_ago.coupon_get_count,0),
nvl(old.coupon_last_30d_using_count,0)+nvl(1d_ago.coupon_using_count,0)- nvl(30d_ago.coupon_using_count,0),
nvl(old.coupon_last_30d_used_count,0)+ nvl(1d_ago.coupon_used_count,0)- nvl(30d_ago.coupon_used_count,0),
nvl(old.coupon_get_count,0)+nvl(1d_ago.coupon_get_count,0),
nvl(old.coupon_using_count,0)+nvl(1d_ago.coupon_using_count,0),
nvl(old.coupon_used_count,0)+nvl(1d_ago.coupon_used_count,0),
nvl(1d_ago.appraise_good_count,0),
nvl(1d_ago.appraise_mid_count,0),
nvl(1d_ago.appraise_bad_count,0),
nvl(old.appraise_last_7d_default_count,0)+nvl(1d_ago.appraise_default_count,0)-nvl(7d_ago.appraise_default_count,0),
nvl(old.appraise_last_7d_good_count,0)+nvl(1d_ago.appraise_good_count,0)- nvl(7d_ago.appraise_good_count,0),
nvl(old.appraise_last_7d_mid_count,0)+nvl(1d_ago.appraise_mid_count,0)-nvl(7d_ago.appraise_mid_count,0),
nvl(old.appraise_last_7d_bad_count,0)+nvl(1d_ago.appraise_bad_count,0)-nvl(7d_ago.appraise_bad_count,0),
nvl(old.appraise_last_7d_default_count,0)+nvl(1d_ago.appraise_default_count,0)-nvl(7d_ago.appraise_default_count,0),
nvl(old.appraise_last_30d_good_count,0)+nvl(1d_ago.appraise_good_count,0)- nvl(30d_ago.appraise_good_count,0),
nvl(old.appraise_last_30d_mid_count,0)+nvl(1d_ago.appraise_mid_count,0)-nvl(30d_ago.appraise_mid_count,0),
nvl(old.appraise_last_30d_bad_count,0)+nvl(1d_ago.appraise_bad_count,0)-nvl(30d_ago.appraise_bad_count,0),
nvl(old.appraise_last_30d_default_count,0)+nvl(1d_ago.appraise_default_count,0)-nvl(30d_ago.appraise_default_count,0),
nvl(old.appraise_good_count,0)+nvl(1d_ago.appraise_good_count,0),
nvl(old.appraise_mid_count,0)+nvl(1d_ago.appraise_mid_count, 0),
nvl(old.appraise_bad_count,0)+nvl(1d_ago.appraise_bad_count,0),
nvl(old.appraise_default_count,0)+nvl(1d_ago.appraise_default_count,0)
from
(
select
user_id,
login_date_first,
login_date_last,
login_date_1d_count,
login_last_1d_day_count,
login_last_7d_count,
login_last_7d_day_count,
login_last_30d_count,
login_last_30d_day_count,
login_count,
login_day_count,
order_date_first,
order_date_last,
order_last_1d_count,
order_activity_last_1d_count,
order_activity_reduce_last_1d_amount,
order_coupon_last_1d_count,
order_coupon_reduce_last_1d_amount,
order_last_1d_original_amount,
order_last_1d_final_amount,
order_last_7d_count,
order_activity_last_7d_count,
order_activity_reduce_last_7d_amount,
order_coupon_last_7d_count,
order_coupon_reduce_last_7d_amount,
order_last_7d_original_amount,
order_last_7d_final_amount,
order_last_30d_count,
order_activity_last_30d_count,
order_activity_reduce_last_30d_amount,
order_coupon_last_30d_count,
order_coupon_reduce_last_30d_amount,
order_last_30d_original_amount,
order_last_30d_final_amount,
order_count,
order_activity_count,
order_activity_reduce_amount,
order_coupon_count,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
payment_date_first,
payment_date_last,
payment_last_1d_count,
payment_last_1d_amount,
payment_last_7d_count,
payment_last_7d_amount,
payment_last_30d_count,
payment_last_30d_amount,
payment_count,
payment_amount,
refund_order_last_1d_count,
refund_order_last_1d_num,
refund_order_last_1d_amount,
refund_order_last_7d_count,
refund_order_last_7d_num,
refund_order_last_7d_amount,
refund_order_last_30d_count,
refund_order_last_30d_num,
refund_order_last_30d_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
refund_payment_last_1d_count,
refund_payment_last_1d_num,
refund_payment_last_1d_amount,
refund_payment_last_7d_count,
refund_payment_last_7d_num,
refund_payment_last_7d_amount,
refund_payment_last_30d_count,
refund_payment_last_30d_num,
refund_payment_last_30d_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
cart_last_1d_count,
cart_last_7d_count,
cart_last_30d_count,
cart_count,
favor_last_1d_count,
favor_last_7d_count,
favor_last_30d_count,
favor_count,
coupon_last_1d_get_count,
coupon_last_1d_using_count,
coupon_last_1d_used_count,
coupon_last_7d_get_count,
coupon_last_7d_using_count,
coupon_last_7d_used_count,
coupon_last_30d_get_count,
coupon_last_30d_using_count,
coupon_last_30d_used_count,
coupon_get_count,
coupon_using_count,
coupon_used_count,
appraise_last_1d_good_count,
appraise_last_1d_mid_count,
appraise_last_1d_bad_count,
appraise_last_1d_default_count,
appraise_last_7d_good_count,
appraise_last_7d_mid_count,
appraise_last_7d_bad_count,
appraise_last_7d_default_count,
appraise_last_30d_good_count,
appraise_last_30d_mid_count,
appraise_last_30d_bad_count,
appraise_last_30d_default_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from ${APP}.dwt_user_topic
where dt=date_add('$do_date',-1)
)old
full outer join
(
select
user_id,
login_count,
cart_count,
favor_count,
order_count,
order_activity_count,
order_activity_reduce_amount,
order_coupon_count,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
coupon_get_count,
coupon_using_count,
coupon_used_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from ${APP}.dws_user_action_daycount
where dt='$do_date'
)1d_ago
on old.user_id=1d_ago.user_id
left join
(
select
user_id,
login_count,
cart_count,
favor_count,
order_count,
order_activity_count,
order_activity_reduce_amount,
order_coupon_count,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
coupon_get_count,
coupon_using_count,
coupon_used_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from ${APP}.dws_user_action_daycount
where dt=date_add('$do_date',-7)
)7d_ago
on old.user_id=7d_ago.user_id
left join
(
select
user_id,
login_count,
cart_count,
favor_count,
order_count,
order_activity_count,
order_activity_reduce_amount,
order_coupon_count,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
coupon_get_count,
coupon_using_count,
coupon_used_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from ${APP}.dws_user_action_daycount
where dt=date_add('$do_date',-30)
)30d_ago
on old.user_id=30d_ago.user_id;
alter table ${APP}.dwt_user_topic drop partition(dt='$clear_date');
"
dwt_sku_topic="
insert overwrite table ${APP}.dwt_sku_topic partition(dt='$do_date')
select
nvl(1d_ago.sku_id,old.sku_id),
nvl(1d_ago.order_count,0),
nvl(1d_ago.order_num,0),
nvl(1d_ago.order_activity_count,0),
nvl(1d_ago.order_coupon_count,0),
nvl(1d_ago.order_activity_reduce_amount,0.0),
nvl(1d_ago.order_coupon_reduce_amount,0.0),
nvl(1d_ago.order_original_amount,0.0),
nvl(1d_ago.order_final_amount,0.0),
nvl(old.order_last_7d_count,0)+nvl(1d_ago.order_count,0)- nvl(7d_ago.order_count,0),
nvl(old.order_last_7d_num,0)+nvl(1d_ago.order_num,0)- nvl(7d_ago.order_num,0),
nvl(old.order_activity_last_7d_count,0)+nvl(1d_ago.order_activity_count,0)- nvl(7d_ago.order_activity_count,0),
nvl(old.order_coupon_last_7d_count,0)+nvl(1d_ago.order_coupon_count,0)- nvl(7d_ago.order_coupon_count,0),
nvl(old.order_activity_reduce_last_7d_amount,0.0)+nvl(1d_ago.order_activity_reduce_amount,0.0)- nvl(7d_ago.order_activity_reduce_amount,0.0),
nvl(old.order_coupon_reduce_last_7d_amount,0.0)+nvl(1d_ago.order_coupon_reduce_amount,0.0)- nvl(7d_ago.order_coupon_reduce_amount,0.0),
nvl(old.order_last_7d_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0)- nvl(7d_ago.order_original_amount,0.0),
nvl(old.order_last_7d_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0)- nvl(7d_ago.order_final_amount,0.0),
nvl(old.order_last_30d_count,0)+nvl(1d_ago.order_count,0)- nvl(30d_ago.order_count,0),
nvl(old.order_last_30d_num,0)+nvl(1d_ago.order_num,0)- nvl(30d_ago.order_num,0),
nvl(old.order_activity_last_30d_count,0)+nvl(1d_ago.order_activity_count,0)- nvl(30d_ago.order_activity_count,0),
nvl(old.order_coupon_last_30d_count,0)+nvl(1d_ago.order_coupon_count,0)- nvl(30d_ago.order_coupon_count,0),
nvl(old.order_activity_reduce_last_30d_amount,0.0)+nvl(1d_ago.order_activity_reduce_amount,0.0)- nvl(30d_ago.order_activity_reduce_amount,0.0),
nvl(old.order_coupon_reduce_last_30d_amount,0.0)+nvl(1d_ago.order_coupon_reduce_amount,0.0)- nvl(30d_ago.order_coupon_reduce_amount,0.0),
nvl(old.order_last_30d_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0)- nvl(30d_ago.order_original_amount,0.0),
nvl(old.order_last_30d_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0)- nvl(30d_ago.order_final_amount,0.0),
nvl(old.order_count,0)+nvl(1d_ago.order_count,0),
nvl(old.order_num,0)+nvl(1d_ago.order_num,0),
nvl(old.order_activity_count,0)+nvl(1d_ago.order_activity_count,0),
nvl(old.order_coupon_count,0)+nvl(1d_ago.order_coupon_count,0),
nvl(old.order_activity_reduce_amount,0.0)+nvl(1d_ago.order_activity_reduce_amount,0.0),
nvl(old.order_coupon_reduce_amount,0.0)+nvl(1d_ago.order_coupon_reduce_amount,0.0),
nvl(old.order_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0),
nvl(old.order_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0),
nvl(1d_ago.payment_count,0),
nvl(1d_ago.payment_num,0),
nvl(1d_ago.payment_amount,0.0),
nvl(old.payment_last_7d_count,0)+nvl(1d_ago.payment_count,0)- nvl(7d_ago.payment_count,0),
nvl(old.payment_last_7d_num,0)+nvl(1d_ago.payment_num,0)- nvl(7d_ago.payment_num,0),
nvl(old.payment_last_7d_amount,0.0)+nvl(1d_ago.payment_amount,0.0)- nvl(7d_ago.payment_amount,0.0),
nvl(old.payment_last_30d_count,0)+nvl(1d_ago.payment_count,0)- nvl(30d_ago.payment_count,0),
nvl(old.payment_last_30d_num,0)+nvl(1d_ago.payment_num,0)- nvl(30d_ago.payment_num,0),
nvl(old.payment_last_30d_amount,0.0)+nvl(1d_ago.payment_amount,0.0)- nvl(30d_ago.payment_amount,0.0),
nvl(old.payment_count,0)+nvl(1d_ago.payment_count,0),
nvl(old.payment_num,0)+nvl(1d_ago.payment_num,0),
nvl(old.payment_amount,0.0)+nvl(1d_ago.payment_amount,0.0),
nvl(old.refund_order_last_1d_count,0)+nvl(1d_ago.refund_order_count,0)- nvl(1d_ago.refund_order_count,0),
nvl(old.refund_order_last_1d_num,0)+nvl(1d_ago.refund_order_num,0)- nvl(1d_ago.refund_order_num,0),
nvl(old.refund_order_last_1d_amount,0.0)+nvl(1d_ago.refund_order_amount,0.0)- nvl(1d_ago.refund_order_amount,0.0),
nvl(old.refund_order_last_7d_count,0)+nvl(1d_ago.refund_order_count,0)- nvl(7d_ago.refund_order_count,0),
nvl(old.refund_order_last_7d_num,0)+nvl(1d_ago.refund_order_num,0)- nvl(7d_ago.refund_order_num,0),
nvl(old.refund_order_last_7d_amount,0.0)+nvl(1d_ago.refund_order_amount,0.0)- nvl(7d_ago.refund_order_amount,0.0),
nvl(old.refund_order_last_30d_count,0)+nvl(1d_ago.refund_order_count,0)- nvl(30d_ago.refund_order_count,0),
nvl(old.refund_order_last_30d_num,0)+nvl(1d_ago.refund_order_num,0)- nvl(30d_ago.refund_order_num,0),
nvl(old.refund_order_last_30d_amount,0.0)+nvl(1d_ago.refund_order_amount,0.0)- nvl(30d_ago.refund_order_amount,0.0),
nvl(old.refund_order_count,0)+nvl(1d_ago.refund_order_count,0),
nvl(old.refund_order_num,0)+nvl(1d_ago.refund_order_num,0),
nvl(old.refund_order_amount,0.0)+nvl(1d_ago.refund_order_amount,0.0),
nvl(1d_ago.refund_payment_count,0),
nvl(1d_ago.refund_payment_num,0),
nvl(1d_ago.refund_payment_amount,0.0),
nvl(old.refund_payment_last_7d_count,0)+nvl(1d_ago.refund_payment_count,0)- nvl(7d_ago.refund_payment_count,0),
nvl(old.refund_payment_last_7d_num,0)+nvl(1d_ago.refund_payment_num,0)- nvl(7d_ago.refund_payment_num,0),
nvl(old.refund_payment_last_7d_amount,0.0)+nvl(1d_ago.refund_payment_amount,0.0)- nvl(7d_ago.refund_payment_amount,0.0),
nvl(old.refund_payment_last_30d_count,0)+nvl(1d_ago.refund_payment_count,0)- nvl(30d_ago.refund_payment_count,0),
nvl(old.refund_payment_last_30d_num,0)+nvl(1d_ago.refund_payment_num,0)- nvl(30d_ago.refund_payment_num,0),
nvl(old.refund_payment_last_30d_amount,0.0)+nvl(1d_ago.refund_payment_amount,0.0)- nvl(30d_ago.refund_payment_amount,0.0),
nvl(old.refund_payment_count,0)+nvl(1d_ago.refund_payment_count,0),
nvl(old.refund_payment_num,0)+nvl(1d_ago.refund_payment_num,0),
nvl(old.refund_payment_amount,0.0)+nvl(1d_ago.refund_payment_amount,0.0),
nvl(1d_ago.cart_count,0),
nvl(old.cart_last_7d_count,0)+nvl(1d_ago.cart_count,0)- nvl(7d_ago.cart_count,0),
nvl(old.cart_last_30d_count,0)+nvl(1d_ago.cart_count,0)- nvl(30d_ago.cart_count,0),
nvl(old.cart_count,0)+nvl(1d_ago.cart_count,0),
nvl(1d_ago.favor_count,0),
nvl(old.favor_last_7d_count,0)+nvl(1d_ago.favor_count,0)- nvl(7d_ago.favor_count,0),
nvl(old.favor_last_30d_count,0)+nvl(1d_ago.favor_count,0)- nvl(30d_ago.favor_count,0),
nvl(old.favor_count,0)+nvl(1d_ago.favor_count,0),
nvl(1d_ago.appraise_good_count,0),
nvl(1d_ago.appraise_mid_count,0),
nvl(1d_ago.appraise_bad_count,0),
nvl(1d_ago.appraise_default_count,0),
nvl(old.appraise_last_7d_good_count,0)+nvl(1d_ago.appraise_good_count,0)- nvl(7d_ago.appraise_good_count,0),
nvl(old.appraise_last_7d_mid_count,0)+nvl(1d_ago.appraise_mid_count,0)- nvl(7d_ago.appraise_mid_count,0),
nvl(old.appraise_last_7d_bad_count,0)+nvl(1d_ago.appraise_bad_count,0)- nvl(7d_ago.appraise_bad_count,0),
nvl(old.appraise_last_7d_default_count,0)+nvl(1d_ago.appraise_default_count,0)- nvl(7d_ago.appraise_default_count,0),
nvl(old.appraise_last_30d_good_count,0)+nvl(1d_ago.appraise_good_count,0)- nvl(30d_ago.appraise_good_count,0),
nvl(old.appraise_last_30d_mid_count,0)+nvl(1d_ago.appraise_mid_count,0)- nvl(30d_ago.appraise_mid_count,0),
nvl(old.appraise_last_30d_bad_count,0)+nvl(1d_ago.appraise_bad_count,0)- nvl(30d_ago.appraise_bad_count,0),
nvl(old.appraise_last_30d_default_count,0)+nvl(1d_ago.appraise_default_count,0)- nvl(30d_ago.appraise_default_count,0),
nvl(old.appraise_good_count,0)+nvl(1d_ago.appraise_good_count,0),
nvl(old.appraise_mid_count,0)+nvl(1d_ago.appraise_mid_count,0),
nvl(old.appraise_bad_count,0)+nvl(1d_ago.appraise_bad_count,0),
nvl(old.appraise_default_count,0)+nvl(1d_ago.appraise_default_count,0)
from
(
select
sku_id,
order_last_1d_count,
order_last_1d_num,
order_activity_last_1d_count,
order_coupon_last_1d_count,
order_activity_reduce_last_1d_amount,
order_coupon_reduce_last_1d_amount,
order_last_1d_original_amount,
order_last_1d_final_amount,
order_last_7d_count,
order_last_7d_num,
order_activity_last_7d_count,
order_coupon_last_7d_count,
order_activity_reduce_last_7d_amount,
order_coupon_reduce_last_7d_amount,
order_last_7d_original_amount,
order_last_7d_final_amount,
order_last_30d_count,
order_last_30d_num,
order_activity_last_30d_count,
order_coupon_last_30d_count,
order_activity_reduce_last_30d_amount,
order_coupon_reduce_last_30d_amount,
order_last_30d_original_amount,
order_last_30d_final_amount,
order_count,
order_num,
order_activity_count,
order_coupon_count,
order_activity_reduce_amount,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
payment_last_1d_count,
payment_last_1d_num,
payment_last_1d_amount,
payment_last_7d_count,
payment_last_7d_num,
payment_last_7d_amount,
payment_last_30d_count,
payment_last_30d_num,
payment_last_30d_amount,
payment_count,
payment_num,
payment_amount,
refund_order_last_1d_count,
refund_order_last_1d_num,
refund_order_last_1d_amount,
refund_order_last_7d_count,
refund_order_last_7d_num,
refund_order_last_7d_amount,
refund_order_last_30d_count,
refund_order_last_30d_num,
refund_order_last_30d_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
refund_payment_last_1d_count,
refund_payment_last_1d_num,
refund_payment_last_1d_amount,
refund_payment_last_7d_count,
refund_payment_last_7d_num,
refund_payment_last_7d_amount,
refund_payment_last_30d_count,
refund_payment_last_30d_num,
refund_payment_last_30d_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
cart_last_1d_count,
cart_last_7d_count,
cart_last_30d_count,
cart_count,
favor_last_1d_count,
favor_last_7d_count,
favor_last_30d_count,
favor_count,
appraise_last_1d_good_count,
appraise_last_1d_mid_count,
appraise_last_1d_bad_count,
appraise_last_1d_default_count,
appraise_last_7d_good_count,
appraise_last_7d_mid_count,
appraise_last_7d_bad_count,
appraise_last_7d_default_count,
appraise_last_30d_good_count,
appraise_last_30d_mid_count,
appraise_last_30d_bad_count,
appraise_last_30d_default_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from ${APP}.dwt_sku_topic
where dt=date_add('$do_date',-1)
)old
full outer join
(
select
sku_id,
order_count,
order_num,
order_activity_count,
order_coupon_count,
order_activity_reduce_amount,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_num,
payment_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
cart_count,
favor_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from ${APP}.dws_sku_action_daycount
where dt='$do_date'
)1d_ago
on old.sku_id=1d_ago.sku_id
left join
(
select
sku_id,
order_count,
order_num,
order_activity_count,
order_coupon_count,
order_activity_reduce_amount,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_num,
payment_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
cart_count,
favor_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from ${APP}.dws_sku_action_daycount
where dt=date_add('$do_date',-7)
)7d_ago
on old.sku_id=7d_ago.sku_id
left join
(
select
sku_id,
order_count,
order_num,
order_activity_count,
order_coupon_count,
order_activity_reduce_amount,
order_coupon_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_num,
payment_amount,
refund_order_count,
refund_order_num,
refund_order_amount,
refund_payment_count,
refund_payment_num,
refund_payment_amount,
cart_count,
favor_count,
appraise_good_count,
appraise_mid_count,
appraise_bad_count,
appraise_default_count
from ${APP}.dws_sku_action_daycount
where dt=date_add('$do_date',-30)
)30d_ago
on old.sku_id=30d_ago.sku_id;
alter table ${APP}.dwt_sku_topic drop partition(dt='$clear_date');
"
dwt_activity_topic="
insert overwrite table ${APP}.dwt_activity_topic partition(dt='$do_date')
select
nvl(1d_ago.activity_rule_id,old.activity_rule_id),
nvl(1d_ago.activity_id,old.activity_id),
nvl(1d_ago.order_count,0),
nvl(1d_ago.order_reduce_amount,0.0),
nvl(1d_ago.order_original_amount,0.0),
nvl(1d_ago.order_final_amount,0.0),
nvl(old.order_count,0)+nvl(1d_ago.order_count,0),
nvl(old.order_reduce_amount,0.0)+nvl(1d_ago.order_reduce_amount,0.0),
nvl(old.order_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0),
nvl(old.order_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0),
nvl(1d_ago.payment_count,0),
nvl(1d_ago.payment_reduce_amount,0.0),
nvl(1d_ago.payment_amount,0.0),
nvl(old.payment_count,0)+nvl(1d_ago.payment_count,0),
nvl(old.payment_reduce_amount,0.0)+nvl(1d_ago.payment_reduce_amount,0.0),
nvl(old.payment_amount,0.0)+nvl(1d_ago.payment_amount,0.0)
from
(
select
activity_rule_id,
activity_id,
order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_reduce_amount,
payment_amount
from ${APP}.dwt_activity_topic
where dt=date_add('$do_date',-1)
)old
full outer join
(
select
activity_rule_id,
activity_id,
order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_reduce_amount,
payment_amount
from ${APP}.dws_activity_info_daycount
where dt='$do_date'
)1d_ago
on old.activity_rule_id=1d_ago.activity_rule_id;
alter table ${APP}.dwt_activity_topic drop partition(dt='$clear_date');
"
dwt_coupon_topic="
insert overwrite table ${APP}.dwt_coupon_topic partition(dt='$do_date')
select
nvl(1d_ago.coupon_id,old.coupon_id),
nvl(1d_ago.get_count,0),
nvl(old.get_last_7d_count,0)+nvl(1d_ago.get_count,0)- nvl(7d_ago.get_count,0),
nvl(old.get_last_30d_count,0)+nvl(1d_ago.get_count,0)- nvl(30d_ago.get_count,0),
nvl(old.get_count,0)+nvl(1d_ago.get_count,0),
nvl(1d_ago.order_count,0),
nvl(1d_ago.order_reduce_amount,0.0),
nvl(1d_ago.order_original_amount,0.0),
nvl(1d_ago.order_final_amount,0.0),
nvl(old.order_last_7d_count,0)+nvl(1d_ago.order_count,0)- nvl(7d_ago.order_count,0),
nvl(old.order_last_7d_reduce_amount,0.0)+nvl(1d_ago.order_reduce_amount,0.0)- nvl(7d_ago.order_reduce_amount,0.0),
nvl(old.order_last_7d_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0)- nvl(7d_ago.order_original_amount,0.0),
nvl(old.order_last_7d_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0)- nvl(7d_ago.order_final_amount,0.0),
nvl(old.order_last_30d_count,0)+nvl(1d_ago.order_count,0)- nvl(30d_ago.order_count,0),
nvl(old.order_last_30d_reduce_amount,0.0)+nvl(1d_ago.order_reduce_amount,0.0)- nvl(30d_ago.order_reduce_amount,0.0),
nvl(old.order_last_30d_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0)- nvl(30d_ago.order_original_amount,0.0),
nvl(old.order_last_30d_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0)- nvl(30d_ago.order_final_amount,0.0),
nvl(old.order_count,0)+nvl(1d_ago.order_count,0),
nvl(old.order_reduce_amount,0.0)+nvl(1d_ago.order_reduce_amount,0.0),
nvl(old.order_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0),
nvl(old.order_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0),
nvl(old.payment_last_1d_count,0)+nvl(1d_ago.payment_count,0)- nvl(1d_ago.payment_count,0),
nvl(old.payment_last_1d_reduce_amount,0.0)+nvl(1d_ago.payment_reduce_amount,0.0)- nvl(1d_ago.payment_reduce_amount,0.0),
nvl(old.payment_last_1d_amount,0.0)+nvl(1d_ago.payment_amount,0.0)- nvl(1d_ago.payment_amount,0.0),
nvl(old.payment_last_7d_count,0)+nvl(1d_ago.payment_count,0)- nvl(7d_ago.payment_count,0),
nvl(old.payment_last_7d_reduce_amount,0.0)+nvl(1d_ago.payment_reduce_amount,0.0)- nvl(7d_ago.payment_reduce_amount,0.0),
nvl(old.payment_last_7d_amount,0.0)+nvl(1d_ago.payment_amount,0.0)- nvl(7d_ago.payment_amount,0.0),
nvl(old.payment_last_30d_count,0)+nvl(1d_ago.payment_count,0)- nvl(30d_ago.payment_count,0),
nvl(old.payment_last_30d_reduce_amount,0.0)+nvl(1d_ago.payment_reduce_amount,0.0)- nvl(30d_ago.payment_reduce_amount,0.0),
nvl(old.payment_last_30d_amount,0.0)+nvl(1d_ago.payment_amount,0.0)- nvl(30d_ago.payment_amount,0.0),
nvl(old.payment_count,0)+nvl(1d_ago.payment_count,0),
nvl(old.payment_reduce_amount,0.0)+nvl(1d_ago.payment_reduce_amount,0.0),
nvl(old.payment_amount,0.0)+nvl(1d_ago.payment_amount,0.0),
nvl(1d_ago.expire_count,0),
nvl(old.expire_last_7d_count,0)+nvl(1d_ago.expire_count,0)- nvl(7d_ago.expire_count,0),
nvl(old.expire_last_30d_count,0)+nvl(1d_ago.expire_count,0)- nvl(30d_ago.expire_count,0),
nvl(old.expire_count,0)+nvl(1d_ago.expire_count,0)
from
(
select
coupon_id,
get_last_1d_count,
get_last_7d_count,
get_last_30d_count,
get_count,
order_last_1d_count,
order_last_1d_reduce_amount,
order_last_1d_original_amount,
order_last_1d_final_amount,
order_last_7d_count,
order_last_7d_reduce_amount,
order_last_7d_original_amount,
order_last_7d_final_amount,
order_last_30d_count,
order_last_30d_reduce_amount,
order_last_30d_original_amount,
order_last_30d_final_amount,
order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
payment_last_1d_count,
payment_last_1d_reduce_amount,
payment_last_1d_amount,
payment_last_7d_count,
payment_last_7d_reduce_amount,
payment_last_7d_amount,
payment_last_30d_count,
payment_last_30d_reduce_amount,
payment_last_30d_amount,
payment_count,
payment_reduce_amount,
payment_amount,
expire_last_1d_count,
expire_last_7d_count,
expire_last_30d_count,
expire_count
from ${APP}.dwt_coupon_topic
where dt=date_add('$do_date',-1)
)old
full outer join
(
select
coupon_id,
get_count,
order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_reduce_amount,
payment_amount,
expire_count
from ${APP}.dws_coupon_info_daycount
where dt='$do_date'
)1d_ago
on old.coupon_id=1d_ago.coupon_id
left join
(
select
coupon_id,
get_count,
order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_reduce_amount,
payment_amount,
expire_count
from ${APP}.dws_coupon_info_daycount
where dt=date_add('$do_date',-7)
)7d_ago
on old.coupon_id=7d_ago.coupon_id
left join
(
select
coupon_id,
get_count,
order_count,
order_reduce_amount,
order_original_amount,
order_final_amount,
payment_count,
payment_reduce_amount,
payment_amount,
expire_count
from ${APP}.dws_coupon_info_daycount
where dt=date_add('$do_date',-30)
)30d_ago
on old.coupon_id=30d_ago.coupon_id;
alter table ${APP}.dwt_coupon_topic drop partition(dt='$clear_date');
"
dwt_area_topic="
insert overwrite table ${APP}.dwt_area_topic partition(dt='$do_date')
select
nvl(old.province_id, 1d_ago.province_id),
nvl(1d_ago.visit_count,0),
nvl(1d_ago.login_count,0),
nvl(old.visit_last_7d_count,0)+nvl(1d_ago.visit_count,0)- nvl(7d_ago.visit_count,0),
nvl(old.login_last_7d_count,0)+nvl(1d_ago.login_count,0)- nvl(7d_ago.login_count,0),
nvl(old.visit_last_30d_count,0)+nvl(1d_ago.visit_count,0)- nvl(30d_ago.visit_count,0),
nvl(old.login_last_30d_count,0)+nvl(1d_ago.login_count,0)- nvl(30d_ago.login_count,0),
nvl(old.visit_count,0)+nvl(1d_ago.visit_count,0),
nvl(old.login_count,0)+nvl(1d_ago.login_count,0),
nvl(1d_ago.order_count,0),
nvl(1d_ago.order_original_amount,0.0),
nvl(1d_ago.order_final_amount,0.0),
nvl(old.order_last_7d_count,0)+nvl(1d_ago.order_count,0)- nvl(7d_ago.order_count,0),
nvl(old.order_last_7d_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0)- nvl(7d_ago.order_original_amount,0.0),
nvl(old.order_last_7d_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0)- nvl(7d_ago.order_final_amount,0.0),
nvl(old.order_last_30d_count,0)+nvl(1d_ago.order_count,0)- nvl(30d_ago.order_count,0),
nvl(old.order_last_30d_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0)- nvl(30d_ago.order_original_amount,0.0),
nvl(old.order_last_30d_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0)- nvl(30d_ago.order_final_amount,0.0),
nvl(old.order_count,0)+nvl(1d_ago.order_count,0),
nvl(old.order_original_amount,0.0)+nvl(1d_ago.order_original_amount,0.0),
nvl(old.order_final_amount,0.0)+nvl(1d_ago.order_final_amount,0.0),
nvl(1d_ago.payment_count,0),
nvl(1d_ago.payment_amount,0.0),
nvl(old.payment_last_7d_count,0)+nvl(1d_ago.payment_count,0)- nvl(7d_ago.payment_count,0),
nvl(old.payment_last_7d_amount,0.0)+nvl(1d_ago.payment_amount,0.0)- nvl(7d_ago.payment_amount,0.0),
nvl(old.payment_last_30d_count,0)+nvl(1d_ago.payment_count,0)- nvl(30d_ago.payment_count,0),
nvl(old.payment_last_30d_amount,0.0)+nvl(1d_ago.payment_amount,0.0)- nvl(30d_ago.payment_amount,0.0),
nvl(old.payment_count,0)+nvl(1d_ago.payment_count,0),
nvl(old.payment_amount,0.0)+nvl(1d_ago.payment_amount,0.0),
nvl(1d_ago.refund_order_count,0),
nvl(1d_ago.refund_order_amount,0.0),
nvl(old.refund_order_last_7d_count,0)+nvl(1d_ago.refund_order_count,0)- nvl(7d_ago.refund_order_count,0),
nvl(old.refund_order_last_7d_amount,0.0)+nvl(1d_ago.refund_order_amount,0.0)- nvl(7d_ago.refund_order_amount,0.0),
nvl(old.refund_order_last_30d_count,0)+nvl(1d_ago.refund_order_count,0)- nvl(30d_ago.refund_order_count,0),
nvl(old.refund_order_last_30d_amount,0.0)+nvl(1d_ago.refund_order_amount,0.0)- nvl(30d_ago.refund_order_amount,0.0),
nvl(old.refund_order_count,0)+nvl(1d_ago.refund_order_count,0),
nvl(old.refund_order_amount,0.0)+nvl(1d_ago.refund_order_amount,0.0),
nvl(1d_ago.refund_payment_count,0),
nvl(1d_ago.refund_payment_amount,0.0),
nvl(old.refund_payment_last_7d_count,0)+nvl(1d_ago.refund_payment_count,0)- nvl(7d_ago.refund_payment_count,0),
nvl(old.refund_payment_last_7d_amount,0.0)+nvl(1d_ago.refund_payment_amount,0.0)- nvl(7d_ago.refund_payment_amount,0.0),
nvl(old.refund_payment_last_30d_count,0)+nvl(1d_ago.refund_payment_count,0)- nvl(30d_ago.refund_payment_count,0),
nvl(old.refund_payment_last_30d_amount,0.0)+nvl(1d_ago.refund_payment_amount,0.0)- nvl(30d_ago.refund_payment_amount,0.0),
nvl(old.refund_payment_count,0)+nvl(1d_ago.refund_payment_count,0),
nvl(old.refund_payment_amount,0.0)+nvl(1d_ago.refund_payment_amount,0.0)
from
(
select
province_id,
visit_last_1d_count,
login_last_1d_count,
visit_last_7d_count,
login_last_7d_count,
visit_last_30d_count,
login_last_30d_count,
visit_count,
login_count,
order_last_1d_count,
order_last_1d_original_amount,
order_last_1d_final_amount,
order_last_7d_count,
order_last_7d_original_amount,
order_last_7d_final_amount,
order_last_30d_count,
order_last_30d_original_amount,
order_last_30d_final_amount,
order_count,
order_original_amount,
order_final_amount,
payment_last_1d_count,
payment_last_1d_amount,
payment_last_7d_count,
payment_last_7d_amount,
payment_last_30d_count,
payment_last_30d_amount,
payment_count,
payment_amount,
refund_order_last_1d_count,
refund_order_last_1d_amount,
refund_order_last_7d_count,
refund_order_last_7d_amount,
refund_order_last_30d_count,
refund_order_last_30d_amount,
refund_order_count,
refund_order_amount,
refund_payment_last_1d_count,
refund_payment_last_1d_amount,
refund_payment_last_7d_count,
refund_payment_last_7d_amount,
refund_payment_last_30d_count,
refund_payment_last_30d_amount,
refund_payment_count,
refund_payment_amount
from ${APP}.dwt_area_topic
where dt=date_add('$do_date',-1)
)old
full outer join
(
select
province_id,
visit_count,
login_count,
order_count,
order_original_amount,
order_final_amount,
payment_count,
payment_amount,
refund_order_count,
refund_order_amount,
refund_payment_count,
refund_payment_amount
from ${APP}.dws_area_stats_daycount
where dt='$do_date'
)1d_ago
on old.province_id=1d_ago.province_id
left join
(
select
province_id,
visit_count,
login_count,
order_count,
order_original_amount,
order_final_amount,
payment_count,
payment_amount,
refund_order_count,
refund_order_amount,
refund_payment_count,
refund_payment_amount
from ${APP}.dws_area_stats_daycount
where dt=date_add('$do_date',-7)
)7d_ago
on old.province_id= 7d_ago.province_id
left join
(
select
province_id,
visit_count,
login_count,
order_count,
order_original_amount,
order_final_amount,
payment_count,
payment_amount,
refund_order_count,
refund_order_amount,
refund_payment_count,
refund_payment_amount
from ${APP}.dws_area_stats_daycount
where dt=date_add('$do_date',-30)
)30d_ago
on old.province_id= 30d_ago.province_id;
alter table ${APP}.dwt_area_topic drop partition(dt='$clear_date');
"
case $1 in
"dwt_visitor_topic" )
hive -e "$dwt_visitor_topic"
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_visitor_topic/dt=$clear_date
;;
"dwt_user_topic" )
hive -e "$dwt_user_topic"
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_user_topic/dt=$clear_date
;;
"dwt_sku_topic" )
hive -e "$dwt_sku_topic"
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_sku_topic/dt=$clear_date
;;
"dwt_activity_topic" )
hive -e "$dwt_activity_topic"
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_activity_topic/dt=$clear_date
;;
"dwt_coupon_topic" )
hive -e "$dwt_coupon_topic"
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_coupon_topic/dt=$clear_date
;;
"dwt_area_topic" )
hive -e "$dwt_area_topic"
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_area_topic/dt=$clear_date
;;
"all" )
hive -e "$dwt_visitor_topic$dwt_user_topic$dwt_sku_topic$dwt_activity_topic$dwt_coupon_topic$dwt_area_topic"
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_visitor_topic/dt=$clear_date
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_user_topic/dt=$clear_date
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_sku_topic/dt=$clear_date
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_activity_topic/dt=$clear_date
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_coupon_topic/dt=$clear_date
hadoop fs -rm -r -f /warehouse/gmall/dwt/dwt_area_topic/dt=$clear_date
;;
esac
（2）增加脚本执行权限
[lyh@hadoop102 bin]$ chmod 777 dws_to_dwt.sh
2）脚本使用
（1）执行脚本
[lyh@hadoop102 bin]$ dws_to_dwt.sh 2020-06-14
（2）查看导入数据
四、数仓搭建-ADS层
1、ADS层业务数据导入脚本
1）编写脚本
（1）在/home/lyh/bin目录下创建脚本dwt_to_ads.sh
[lyh@hadoop102 bin]$ vim dwt_to_ads.sh
在脚本中填写如下内容
#!/bin/bash
APP=gmall
# 如果是输入的日期按照取输入日期；如果没输入日期取当前时间的前一天
if [ -n "$2" ] ;then
do_date=$2
else
do_date=`date -d "-1 day" +%F`
fi
ads_activity_stats="
insert overwrite table ${APP}.ads_activity_stats
select * from ${APP}.ads_activity_stats
union
select
'$do_date' dt,
t4.activity_id,
activity_name,
start_date,
order_count,
order_original_amount,
order_final_amount,
reduce_amount,
reduce_rate
from
(
select
activity_id,
activity_name,
date_format(start_time,'yyyy-MM-dd') start_date
from ${APP}.dim_activity_rule_info
where dt='$do_date'
and date_format(start_time,'yyyy-MM-dd')>=date_add('$do_date',-29)
group by activity_id,activity_name,start_time
)t4
left join
(
select
activity_id,
sum(order_count) order_count,
sum(order_original_amount) order_original_amount,
sum(order_final_amount) order_final_amount,
sum(order_reduce_amount) reduce_amount,
cast(sum(order_reduce_amount)/sum(order_original_amount)*100 as decimal(16,2)) reduce_rate
from ${APP}.dwt_activity_topic
where dt='$do_date'
group by activity_id
)t5
on t4.activity_id=t5.activity_id;
"
ads_coupon_stats="
insert overwrite table ${APP}.ads_coupon_stats
select * from ${APP}.ads_coupon_stats
union
select
'$do_date' dt,
t1.id,
coupon_name,
start_date,
rule_name,
get_count,
order_count,
expire_count,
order_original_amount,
order_final_amount,
reduce_amount,
reduce_rate
from
(
select
id,
coupon_name,
date_format(start_time,'yyyy-MM-dd') start_date,
case
when coupon_type='3201' then concat('满',condition_amount,'元减',benefit_amount,'元')
when coupon_type='3202' then concat('满',condition_num,'件打', (1-benefit_discount)*10,'折')
when coupon_type='3203' then concat('减',benefit_amount,'元')
end rule_name
from ${APP}.dim_coupon_info
where dt='$do_date'
and date_format(start_time,'yyyy-MM-dd')>=date_add('$do_date',-29)
)t1
left join
(
select
coupon_id,
get_count,
order_count,
expire_count,
order_original_amount,
order_final_amount,
order_reduce_amount reduce_amount,
cast(order_reduce_amount/order_original_amount as decimal(16,2)) reduce_rate
from ${APP}.dwt_coupon_topic
where dt='$do_date'
)t2
on t1.id=t2.coupon_id;
"
ads_order_by_province="
insert overwrite table ${APP}.ads_order_by_province
select * from ${APP}.ads_order_by_province
union
select
dt,
recent_days,
province_id,
province_name,
area_code,
iso_code,
iso_3166_2,
order_count,
order_amount
from
(
select
'$do_date' dt,
recent_days,
province_id,
sum(order_count) order_count,
sum(order_amount) order_amount
from
(
select
recent_days,
province_id,
case
when recent_days=1 then order_last_1d_count
when recent_days=7 then order_last_7d_count
when recent_days=30 then order_last_30d_count
end order_count,
case
when recent_days=1 then order_last_1d_final_amount
when recent_days=7 then order_last_7d_final_amount
when recent_days=30 then order_last_30d_final_amount
end order_amount
from ${APP}.dwt_area_topic lateral view explode(Array(1,7,30)) tmp as recent_days
where dt='$do_date'
)t1
group by recent_days,province_id
)t2
join ${APP}.dim_base_province t3
on t2.province_id=t3.id;
"
ads_order_spu_stats="
insert overwrite table ${APP}.ads_order_spu_stats
select * from ${APP}.ads_order_spu_stats
union
select
'$do_date' dt,
recent_days,
spu_id,
spu_name,
tm_id,
tm_name,
category3_id,
category3_name,
category2_id,
category2_name,
category1_id,
category1_name,
sum(order_count),
sum(order_amount)
from
(
select
recent_days,
sku_id,
case
when recent_days=1 then order_last_1d_count
when recent_days=7 then order_last_7d_count
when recent_days=30 then order_last_30d_count
end order_count,
case
when recent_days=1 then order_last_1d_final_amount
when recent_days=7 then order_last_7d_final_amount
when recent_days=30 then order_last_30d_final_amount
end order_amount
from ${APP}.dwt_sku_topic lateral view explode(Array(1,7,30)) tmp as recent_days
where dt='$do_date'
)t1
left join
(
select
id,
spu_id,
spu_name,
tm_id,
tm_name,
category3_id,
category3_name,
category2_id,
category2_name,
category1_id,
category1_name
from ${APP}.dim_sku_info
where dt='$do_date'
)t2
on t1.sku_id=t2.id
group by recent_days,spu_id,spu_name,tm_id,tm_name,category3_id,category3_name,category2_id,category2_name,category1_id,category1_name;
"
ads_order_total="
insert overwrite table ${APP}.ads_order_total
select * from ${APP}.ads_order_total
union
select
'$do_date',
recent_days,
sum(order_count),
sum(order_final_amount) order_final_amount,
sum(if(order_final_amount>0,1,0)) order_user_count
from
(
select
recent_days,
user_id,
case when recent_days=0 then order_count
when recent_days=1 then order_last_1d_count
when recent_days=7 then order_last_7d_count
when recent_days=30 then order_last_30d_count
end order_count,
case when recent_days=0 then order_final_amount
when recent_days=1 then order_last_1d_final_amount
when recent_days=7 then order_last_7d_final_amount
when recent_days=30 then order_last_30d_final_amount
end order_final_amount
from ${APP}.dwt_user_topic lateral view explode(Array(1,7,30)) tmp as recent_days
where dt='$do_date'
)t1
group by recent_days;
"
ads_page_path="
insert overwrite table ${APP}.ads_page_path
select * from ${APP}.ads_page_path
union
select
'$do_date',
recent_days,
source,
target,
count(*)
from
(
select
recent_days,
concat('step-',step,':',source) source,
concat('step-',step+1,':',target) target
from
(
select
recent_days,
page_id source,
lead(page_id,1,null) over (partition by recent_days,session_id order by ts) target,
row_number() over (partition by recent_days,session_id order by ts) step
from
(
select
recent_days,
last_page_id,
page_id,
ts,
concat(mid_id,'-',last_value(if(last_page_id is null,ts,null),true) over (partition by mid_id,recent_days order by ts)) session_id
from ${APP}.dwd_page_log lateral view explode(Array(1,7,30)) tmp as recent_days
where dt>=date_add('$do_date',-30)
and dt>=date_add('$do_date',-recent_days+1)
)t2
)t3
)t4
group by recent_days,source,target;
"
ads_repeat_purchase="
insert overwrite table ${APP}.ads_repeat_purchase
select * from ${APP}.ads_repeat_purchase
union
select
'$do_date' dt,
recent_days,
tm_id,
tm_name,
cast(sum(if(order_count>=2,1,0))/sum(if(order_count>=1,1,0))*100 as decimal(16,2))
from
(
select
recent_days,
user_id,
tm_id,
tm_name,
sum(order_count) order_count
from
(
select
recent_days,
user_id,
sku_id,
count(*) order_count
from ${APP}.dwd_order_detail lateral view explode(Array(1,7,30)) tmp as recent_days
where dt>=date_add('$do_date',-29)
and dt>=date_add('$do_date',-recent_days+1)
group by recent_days, user_id,sku_id
)t1
left join
(
select
id,
tm_id,
tm_name
from ${APP}.dim_sku_info
where dt='$do_date'
)t2
on t1.sku_id=t2.id
group by recent_days,user_id,tm_id,tm_name
)t3
group by recent_days,tm_id,tm_name;
"
ads_user_action="
with
tmp_page as
(
select
'$do_date' dt,
recent_days,
sum(if(array_contains(pages,'home'),1,0)) home_count,
sum(if(array_contains(pages,'good_detail'),1,0)) good_detail_count
from
(
select
recent_days,
mid_id,
collect_set(page_id) pages
from
(
select
dt,
mid_id,
page.page_id
from ${APP}.dws_visitor_action_daycount lateral view explode(page_stats) tmp as page
where dt>=date_add('$do_date',-29)
and page.page_id in('home','good_detail')
)t1 lateral view explode(Array(1,7,30)) tmp as recent_days
where dt>=date_add('$do_date',-recent_days+1)
group by recent_days,mid_id
)t2
group by recent_days
),
tmp_cop as
(
select
'$do_date' dt,
recent_days,
sum(if(cart_count>0,1,0)) cart_count,
sum(if(order_count>0,1,0)) order_count,
sum(if(payment_count>0,1,0)) payment_count
from
(
select
recent_days,
user_id,
case
when recent_days=1 then cart_last_1d_count
when recent_days=7 then cart_last_7d_count
when recent_days=30 then cart_last_30d_count
end cart_count,
case
when recent_days=1 then order_last_1d_count
when recent_days=7 then order_last_7d_count
when recent_days=30 then order_last_30d_count
end order_count,
case
when recent_days=1 then payment_last_1d_count
when recent_days=7 then payment_last_7d_count
when recent_days=30 then payment_last_30d_count
end payment_count
from ${APP}.dwt_user_topic lateral view explode(Array(1,7,30)) tmp as recent_days
where dt='$do_date'
)t1
group by recent_days
)
insert overwrite table ${APP}.ads_user_action
select * from ${APP}.ads_user_action
union
select
tmp_page.dt,
tmp_page.recent_days,
home_count,
good_detail_count,
cart_count,
order_count,
payment_count
from tmp_page
join tmp_cop
on tmp_page.recent_days=tmp_cop.recent_days;
"
ads_user_change="
insert overwrite table ${APP}.ads_user_change
select * from ${APP}.ads_user_change
union
select
churn.dt,
user_churn_count,
user_back_count
from
(
select
'$do_date' dt,
count(*) user_churn_count
from ${APP}.dwt_user_topic
where dt='$do_date'
and login_date_last=date_add('$do_date',-7)
)churn
join
(
select
'$do_date' dt,
count(*) user_back_count
from
(
select
user_id,
login_date_last
from ${APP}.dwt_user_topic
where dt='$do_date'
and login_date_last='$do_date'
)t1
join
(
select
user_id,
login_date_last login_date_previous
from ${APP}.dwt_user_topic
where dt=date_add('$do_date',-1)
)t2
on t1.user_id=t2.user_id
where datediff(login_date_last,login_date_previous)>=8
)back
on churn.dt=back.dt;
"
ads_user_retention="
insert overwrite table ${APP}.ads_user_retention
select * from ${APP}.ads_user_retention
union
select
'$do_date',
login_date_first create_date,
datediff('$do_date',login_date_first) retention_day,
sum(if(login_date_last='$do_date',1,0)) retention_count,
count(*) new_user_count,
cast(sum(if(login_date_last='$do_date',1,0))/count(*)*100 as decimal(16,2)) retention_rate
from ${APP}.dwt_user_topic
where dt='$do_date'
and login_date_first>=date_add('$do_date',-7)
and login_date_first<'$do_date'
group by login_date_first;
"
ads_user_total="
insert overwrite table ${APP}.ads_user_total
select * from ${APP}.ads_user_total
union
select
'$do_date',
recent_days,
sum(if(login_date_first>=recent_days_ago,1,0)) new_user_count,
sum(if(order_date_first>=recent_days_ago,1,0)) new_order_user_count,
sum(order_final_amount) order_final_amount,
sum(if(order_final_amount>0,1,0)) order_user_count,
sum(if(login_date_last>=recent_days_ago and order_final_amount=0,1,0)) no_order_user_count
from
(
select
recent_days,
user_id,
login_date_first,
login_date_last,
order_date_first,
case when recent_days=0 then order_final_amount
when recent_days=1 then order_last_1d_final_amount
when recent_days=7 then order_last_7d_final_amount
when recent_days=30 then order_last_30d_final_amount
end order_final_amount,
if(recent_days=0,'1970-01-01',date_add('$do_date',-recent_days+1)) recent_days_ago
from ${APP}.dwt_user_topic lateral view explode(Array(0,1,7,30)) tmp as recent_days
where dt='$do_date'
)t1
group by recent_days;
"
ads_visit_stats="
insert overwrite table ${APP}.ads_visit_stats
select * from ${APP}.ads_visit_stats
union
select
'$do_date' dt,
is_new,
recent_days,
channel,
count(distinct(mid_id)) uv_count,
cast(sum(duration)/1000 as bigint) duration_sec,
cast(avg(duration)/1000 as bigint) avg_duration_sec,
sum(page_count) page_count,
cast(avg(page_count) as bigint) avg_page_count,
count(*) sv_count,
sum(if(page_count=1,1,0)) bounce_count,
cast(sum(if(page_count=1,1,0))/count(*)*100 as decimal(16,2)) bounce_rate
from
(
select
session_id,
mid_id,
is_new,
recent_days,
channel,
count(*) page_count,
sum(during_time) duration
from
(
select
mid_id,
channel,
recent_days,
is_new,
last_page_id,
page_id,
during_time,
concat(mid_id,'-',last_value(if(last_page_id is null,ts,null),true) over (partition by recent_days,mid_id order by ts)) session_id
from
(
select
mid_id,
channel,
last_page_id,
page_id,
during_time,
ts,
recent_days,
if(visit_date_first>=date_add('$do_date',-recent_days+1),'1','0') is_new
from
(
select
t1.mid_id,
t1.channel,
t1.last_page_id,
t1.page_id,
t1.during_time,
t1.dt,
t1.ts,
t2.visit_date_first
from
(
select
mid_id,
channel,
last_page_id,
page_id,
during_time,
dt,
ts
from ${APP}.dwd_page_log
where dt>=date_add('$do_date',-30)
)t1
left join
(
select
mid_id,
visit_date_first
from ${APP}.dwt_visitor_topic
where dt='$do_date'
)t2
on t1.mid_id=t2.mid_id
)t3 lateral view explode(Array(1,7,30)) tmp as recent_days
where dt>=date_add('$do_date',-recent_days+1)
)t4
)t5
group by session_id,mid_id,is_new,recent_days,channel
)t6
group by is_new,recent_days,channel;
"
case $1 in
"ads_activity_stats" )
hive -e "$ads_activity_stats"
;;
"ads_coupon_stats" )
hive -e "$ads_coupon_stats"
;;
"ads_order_by_province" )
hive -e "$ads_order_by_province"
;;
"ads_order_spu_stats" )
hive -e "$ads_order_spu_stats"
;;
"ads_order_total" )
hive -e "$ads_order_total"
;;
"ads_page_path" )
hive -e "$ads_page_path"
;;
"ads_repeat_purchase" )
hive -e "$ads_repeat_purchase"
;;
"ads_user_action" )
hive -e "$ads_user_action"
;;
"ads_user_change" )
hive -e "$ads_user_change"
;;
"ads_user_retention" )
hive -e "$ads_user_retention"
;;
"ads_user_total" )
hive -e "$ads_user_total"
;;
"ads_visit_stats" )
hive -e "$ads_visit_stats"
;;
"all" )
hive -e "$ads_activity_stats$ads_coupon_stats$ads_order_by_province$ads_order_spu_stats$ads_order_total$ads_page_path$ads_repeat_purchase$ads_user_action$ads_user_change$ads_user_retention$ads_user_total$ads_visit_stats"
;;
esac
（2）增加脚本执行权限
[lyh@hadoop102 bin]$ chmod 777 dwt_to_ads.sh
2）脚本使用
（1）执行脚本
[lyh@hadoop102 bin]$ dwt_to_ads.sh all 2020-06-14
（2）查看数据是否导入