大数据实战（七十六）：电商数仓（六十）数仓之业务数仓搭建（三）DWD层

hive (gmall)>
drop table if exists dwd_order_info;
create external table dwd_order_info ( 
    `id` string COMMENT ‘‘,
    `total_amount` decimal(10,2) COMMENT ‘‘, 
    `order_status` string COMMENT ‘ 1  2  3  4  5‘, 
    `user_id` string COMMENT ‘id‘ ,
    `payment_way` string COMMENT ‘‘,  
    `out_trade_no` string COMMENT ‘‘,  
    `create_time` string COMMENT ‘‘,  
    `operate_time` string COMMENT ‘‘ 
) 
PARTITIONED BY ( `dt` string)
stored as  parquet
location ‘/warehouse/gmall/dwd/dwd_order_info/‘
;

hive (gmall)>
drop table if exists dwd_order_detail;
create external table dwd_order_detail( 
    `id` string COMMENT ‘‘,
    `order_id` decimal(10,2) COMMENT ‘‘, 
    `user_id` string COMMENT ‘id‘ ,
    `sku_id` string COMMENT ‘id‘,  
    `sku_name` string COMMENT ‘‘,  
    `order_price` string COMMENT ‘‘,  
    `sku_num` string COMMENT ‘‘, 
    `create_time` string COMMENT ‘‘
) 
PARTITIONED BY (`dt` string)
stored as parquet
location ‘/warehouse/gmall/dwd/dwd_order_detail/‘
;

hive (gmall)>
drop table if exists dwd_user_info;
create external table dwd_user_info( 
    `id` string COMMENT ‘id‘,
    `name`  string COMMENT ‘‘, 
    `birthday` string COMMENT ‘‘ ,
    `gender` string COMMENT ‘‘,  
    `email` string COMMENT ‘‘,  
    `user_level` string COMMENT ‘‘,  
    `create_time` string COMMENT ‘‘
) 
PARTITIONED BY (`dt` string)
stored as  parquet
location ‘/warehouse/gmall/dwd/dwd_user_info/‘
;

hive (gmall)>
drop table if exists `dwd_payment_info`;
create external  table  `dwd_payment_info`(
    `id`   bigint COMMENT ‘‘,
    `out_trade_no`    string COMMENT ‘‘,
    `order_id`        string COMMENT ‘‘,
    `user_id`         string COMMENT ‘‘,
    `alipay_trade_no` string COMMENT ‘‘,
    `total_amount`    decimal(16,2) COMMENT ‘‘,
    `subject`         string COMMENT ‘‘,
    `payment_type`    string COMMENT ‘‘,
    `payment_time`    string COMMENT ‘‘
   )  
PARTITIONED BY ( `dt` string)
stored as  parquet
location ‘/warehouse/gmall/dwd/dwd_payment_info/‘
;

hive (gmall)>
drop table if exists dwd_sku_info;
create external table dwd_sku_info( 
    `id` string COMMENT ‘skuId‘,
    `spu_id` string COMMENT ‘spuid‘, 
    `price` decimal(10,2) COMMENT ‘‘ ,
    `sku_name` string COMMENT ‘‘,  
    `sku_desc` string COMMENT ‘‘,  
    `weight` string COMMENT ‘‘,  
    `tm_id` string COMMENT ‘id‘,  
    `category3_id` string COMMENT ‘1id‘,  
    `category2_id` string COMMENT ‘2id‘,  
    `category1_id` string COMMENT ‘3id‘,  
    `category3_name` string COMMENT ‘3‘,  
    `category2_name` string COMMENT ‘2‘,  
    `category1_name` string COMMENT ‘1‘,  
    `create_time` string COMMENT ‘‘
) 
PARTITIONED BY ( `dt` string)
stored as  parquet
location ‘/warehouse/gmall/dwd/dwd_sku_info/‘
;

#!/bin/bash

# 定义变量方便修改
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 "$1" ] ;then
    do_date=$1
else 
    do_date=`date -d "-1 day" +%F`  
fi 

sql="

set hive.exec.dynamic.partition.mode=nonstrict;

insert overwrite table   "$APP".dwd_order_info partition(dt)
select * from "$APP".ods_order_info 
where dt=‘$do_date‘  and id is not null;
 
insert overwrite table   "$APP".dwd_order_detail partition(dt)
select * from "$APP".ods_order_detail 
where dt=‘$do_date‘   and id is not null;

insert overwrite table   "$APP".dwd_user_info partition(dt)
select * from "$APP".ods_user_info
where dt=‘$do_date‘   and id is not null;
 
insert overwrite table   "$APP".dwd_payment_info partition(dt)
select * from "$APP".ods_payment_info
where dt=‘$do_date‘  and id is not null;

insert overwrite table   "$APP".dwd_sku_info partition(dt)
select  
    sku.id,
    sku.spu_id, 
    sku.price,
    sku.sku_name,  
    sku.sku_desc,  
    sku.weight,  
    sku.tm_id,  
    sku.category3_id,  
    c2.id category2_id ,  
    c1.id category1_id,  
    c3.name category3_name,  
    c2.name category2_name,  
    c1.name category1_name,  
    sku.create_time,
    sku.dt
from
    "$APP".ods_sku_info sku 
join "$APP".ods_base_category3 c3 on sku.category3_id=c3.id 
    join "$APP".ods_base_category2 c2 on c3.category2_id=c2.id 
    join "$APP".ods_base_category1 c1 on c2.category1_id=c1.id 
where sku.dt=‘$do_date‘  and c2.dt=‘$do_date‘  
and  c3.dt=‘$do_date‘ and  c1.dt=‘$do_date‘ 
and sku.id is not null;
"
beeline -u "jdbc:hive2://hadoop102:10000/" -n hive -e "$sql"