数据仓库 业务数仓 ODS层

Posted 2020-12-14 noyouth

ODS层数据不做任何处理，完全仿照业务数据库中的表字段，一模一样的创建ODS层对应表。

8张表建表语句：

①用sqoop把导入到HDFS的时候，加了参数--fields-terminated-by " "，因此这里ODS层建表的时候也注意相同的分隔符。

②不管是全量导入还是其他形式，都使用分区表，每天保存一份数据。

drop table if exists ods_order_info;
create external table ods_order_info (
    `id` string COMMENT ‘订单编号‘,
    `total_amount` decimal(10,2) COMMENT ‘订单金额‘,
    `order_status` string COMMENT ‘订单状态‘,
    `user_id` string COMMENT ‘用户id‘,
    `payment_way` string COMMENT ‘支付方式‘,
    `out_trade_no` string COMMENT ‘支付流水号‘,
    `create_time` string COMMENT ‘创建时间‘,
    `operate_time` string COMMENT ‘操作时间‘
) COMMENT ‘订单表‘
PARTITIONED BY (`dt` string)
row format delimited fields terminated by ‘	‘
location ‘/warehouse/gmall/ods/ods_order_info/‘
;

drop table if exists ods_order_detail;
create external table ods_order_detail( 
    `id` string COMMENT ‘订单编号‘,
    `order_id` string  COMMENT ‘订单号‘, 
    `user_id` string COMMENT ‘用户id‘,
    `sku_id` string COMMENT ‘商品id‘,
    `sku_name` string COMMENT ‘商品名称‘,
    `order_price` string COMMENT ‘商品价格‘,
    `sku_num` string COMMENT ‘商品数量‘,
    `create_time` string COMMENT ‘创建时间‘
) COMMENT ‘订单明细表‘
PARTITIONED BY (`dt` string)
row format delimited fields terminated by ‘	‘ 
location ‘/warehouse/gmall/ods/ods_order_detail/‘
;

drop table if exists ods_sku_info;
create external table ods_sku_info( 
    `id` string COMMENT ‘skuId‘,
    `spu_id` string   COMMENT ‘spuid‘, 
    `price` decimal(10,2) COMMENT ‘价格‘,
    `sku_name` string COMMENT ‘商品名称‘,
    `sku_desc` string COMMENT ‘商品描述‘,
    `weight` string COMMENT ‘重量‘,
    `tm_id` string COMMENT ‘品牌id‘,
    `category3_id` string COMMENT ‘品类id‘,
    `create_time` string COMMENT ‘创建时间‘
) COMMENT ‘商品表‘
PARTITIONED BY (`dt` string)
row format delimited fields terminated by ‘	‘
location ‘/warehouse/gmall/ods/ods_sku_info/‘
;

drop table if exists ods_user_info;
create external table ods_user_info( 
    `id` string COMMENT ‘用户id‘,
    `name`  string COMMENT ‘姓名‘,
    `birthday` string COMMENT ‘生日‘,
    `gender` string COMMENT ‘性别‘,
    `email` string COMMENT ‘邮箱‘,
    `user_level` string COMMENT ‘用户等级‘,
    `create_time` string COMMENT ‘创建时间‘
) COMMENT ‘用户信息‘
PARTITIONED BY (`dt` string)
row format delimited fields terminated by ‘	‘
location ‘/warehouse/gmall/ods/ods_user_info/‘
;

drop table if exists ods_base_category1;
create external table ods_base_category1( 
    `id` string COMMENT ‘id‘,
    `name`  string COMMENT ‘名称‘
) COMMENT ‘商品一级分类‘
PARTITIONED BY (`dt` string)
row format delimited fields terminated by ‘	‘
location ‘/warehouse/gmall/ods/ods_base_category1/‘
;

drop table if exists ods_base_category2;
create external table ods_base_category2( 
    `id` string COMMENT ‘ id‘,
    `name` string COMMENT ‘名称‘,
    category1_id string COMMENT ‘一级品类id‘
) COMMENT ‘商品二级分类‘
PARTITIONED BY (`dt` string)
row format delimited fields terminated by ‘	‘
location ‘/warehouse/gmall/ods/ods_base_category2/‘
;

drop table if exists ods_base_category3;
create external table ods_base_category3(
    `id` string COMMENT ‘ id‘,
    `name`  string COMMENT ‘名称‘,
    category2_id string COMMENT ‘二级品类id‘
) COMMENT ‘商品三级分类‘
PARTITIONED BY (`dt` string)
row format delimited fields terminated by ‘	‘
location ‘/warehouse/gmall/ods/ods_base_category3/‘
;

drop table if exists ods_payment_info;
create external table ods_payment_info(
    `id`   bigint COMMENT ‘编号‘,
    `out_trade_no`    string COMMENT ‘对外业务编号‘,
    `order_id`        string COMMENT ‘订单编号‘,
    `user_id`         string COMMENT ‘用户编号‘,
    `alipay_trade_no` string COMMENT ‘支付宝交易流水编号‘,
    `total_amount`    decimal(16,2) COMMENT ‘支付金额‘,
    `subject`         string COMMENT ‘交易内容‘,
    `payment_type`    string COMMENT ‘支付类型‘,
    `payment_time`    string COMMENT ‘支付时间‘
   )  COMMENT ‘支付流水表‘
PARTITIONED BY (`dt` string)
row format delimited fields terminated by ‘	‘
location ‘/warehouse/gmall/ods/ods_payment_info/‘
;

数据导入脚本：

#!/bin/bash

   APP=gmall
   hive=/opt/module/hive/bin/hive

# 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=" 
load data inpath ‘/origin_data/$APP/db/order_info/$do_date‘ OVERWRITE into table "$APP".ods_order_info partition(dt=‘$do_date‘);

load data inpath ‘/origin_data/$APP/db/order_detail/$do_date‘ OVERWRITE into table "$APP".ods_order_detail partition(dt=‘$do_date‘);

load data inpath ‘/origin_data/$APP/db/sku_info/$do_date‘ OVERWRITE into table "$APP".ods_sku_info partition(dt=‘$do_date‘);

load data inpath ‘/origin_data/$APP/db/user_info/$do_date‘ OVERWRITE into table "$APP".ods_user_info partition(dt=‘$do_date‘);

load data inpath ‘/origin_data/$APP/db/payment_info/$do_date‘ OVERWRITE into table "$APP".ods_payment_info partition(dt=‘$do_date‘);

load data inpath ‘/origin_data/$APP/db/base_category1/$do_date‘ OVERWRITE into table "$APP".ods_base_category1 partition(dt=‘$do_date‘);

load data inpath ‘/origin_data/$APP/db/base_category2/$do_date‘ OVERWRITE into table "$APP".ods_base_category2 partition(dt=‘$do_date‘);

load data inpath ‘/origin_data/$APP/db/base_category3/$do_date‘ OVERWRITE into table "$APP".ods_base_category3 partition(dt=‘$do_date‘); 
"
$hive -e "$sql"