离线数仓ODS层准备

离线数仓ODS层设计-Operational Data Store

ODS层设计要点
ODS层-日志表-json表
- SERDE
- hive导入json表
- - （hive表和json表字段不一致解决方案）
- 复杂数据类型
- 日志表-建表语句

ODS层设计要点

（1）ODS层的表结构设计依托于从业务系统同步过来的数据结构。
（2）ODS层要保存全部历史数据，故其压缩格式应选择压缩比较高的，此处选择gzip。
（3）ODS层表名的命名规范为：ods_表名_单分区增量全量标识（inc/full）。
电商数据主要分为两类：db（业务）和 log（日志）
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查看数据
[atguigu@hadoop102 ~]$ hadoop fs -cat /origin_data/gmall/log/topic_log/2020-06-14/* | zcat

[atguigu@hadoop102 ~]$ hadoop fs -cat /origin_data/gmall/db/activity_info_full/2020-06-14/* | zcat

ODS层-日志表-json表

链接: hive 语法
链接: hive 建表语法
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搜 json 相关内容

# 根据SERDE分隔字符 
# 声明文件格式为 TEXTFILE文本格式 （默认也是TEXTFILE文本格式 ）
CREATE TABLE my_table(a string, b bigint, ...)
ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'
STORED AS TEXTFILE;

SERDE

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每一个hive语句都会有 SERDE INPUTFORMAT OUTPUTFORMAT ，只不过已经简化了。

hive导入json表


//根据json的类型，对应的设计表，key的名，value的类型 要对应。根据对应的key值找，字段的顺序不重要。
//location '/person';   导入/person 根目录下的person文件
--{"id":1001,"name":"zhangsan"}
CREATE TABLE person(id int,name string)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
location '/person';

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要在hadoop102里面load，如果在datagrip里面load它的导入是在本地（windows）里面导入的。
启动hive，load 文件person离得json字符。

[atguigu@hadoop102 ~]$ hive
which: no hbase in (/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/module/jdk/bin:/opt/module/hadoop/bin:/opt/module/hadoop/sbin:/opt/module/kafka/bin:/opt/module/hive/bin:/opt/module/spark/bin:/home/atguigu/.local/bin:/home/atguigu/bin)
Hive Session ID = 6934327b-c3f1-4797-9de4-8b02cd6537a6

Logging initialized using configuration in file:/opt/module/hive/conf/hive-log4j2.properties Async: true
Hive Session ID = e04a92c0-c7c5-445e-8eda-04b57b016d86
hive (default)> use gmall;
OK
Time taken: 0.042 seconds
hive (gmall)> load data local inpath '/home/atguigu/person' into table person;
Loading data to table gmall.person
OK
Time taken: 0.628 seconds
hive (gmall)>

hdfs上的根目录可以找到person文件。
在datagrip里面链接hadoop102的hive，查看导入的数据。

（hive表和json表字段不一致解决方案）

修改内容
将字段名 name 改为 name1
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重新load 文件person

hive (gmall)> load data local inpath '/home/atguigu/person' overwrite into table person;
Loading data to table gmall.person
OK
Time taken: 0.192 seconds
hive (gmall)>

重新查询person表
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字段有就插入，没有就直接null填充。

复杂数据类型

hive 中有简单数据类型、基本数据类型、复杂数据类型。
没有嵌套结构的用基本数据类型
嵌套结构的用复杂数据类型(array map struct) 存储
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链接: hive UDFs

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复杂类型构造器

udf: 一进一出
udaf：多进一出
udtf：一进多出 (一和多指的是行)
hive读数据是一行一行读取的，所以保存的json必须是一行一行完整的。

array ：
1.定义：array < string >
2.取值：arr[0]
3.构造(如何通过一个select语句得到array):
array(val1, val2, …)–udf
split()–udf 字符串拆成数组
collect_set()–udaf

map : 结构中所有的数据类型都要是一样的。
1.定义: map< string ,bigint>
2.取值：map[key]
3.构造:
map(key1, value1, key2, value2, …)
str_to_map(text[, delimiter1, delimiter2]) 字符串拆成map

struct结构体：多个字段，每个字段都有他的字段名和字段类型。
1.定义: struct< id:int ,name:string>
2.取值：struct.id
3.构造:
struct(val1, val2, val3, …) Struct field names will be col1, col2, …
named_struct(name1, val1, name2, val2, …)

嵌套数据类型：array < struct< id:int ,name:string> >

{"id":1001, "name":"zhangsan",
"hobby":["reading","coding","smoking"],
"address":{"country":"China","city":"Beijing"}
}


drop table if exists person;
CREATE TABLE person(
    id int,
    name string,
    hobby array<string>,
    address struct<country:string,city:string>
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
location '/person';

select * from person;
select hobby[0] from person;
select
    address.country
from person;

日志表-建表语句

创建的日志表，要兼容页面日志和启动日志。如何设计？
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6个页面日志字段 + 启动日志多余的1个字段start = 7个字段
加载页面日志时，启动日志对应的字段为空。
加载启动日志时，页面日志对应的字段为空。

日志表

DROP TABLE IF EXISTS ods_log_inc;
CREATE EXTERNAL TABLE ods_log_inc
(
    `common`   STRUCT<ar :STRING,ba :STRING,ch :STRING,is_new :STRING,md :STRING,mid :STRING,os :STRING,uid :STRING,vc
                      :STRING> COMMENT '公共信息',
    `page`     STRUCT<during_time :STRING,item :STRING,item_type :STRING,last_page_id :STRING,page_id
                      :STRING,source_type :STRING> COMMENT '页面信息',
    `actions`  ARRAY<STRUCT<action_id:STRING,item:STRING,item_type:STRING,ts:BIGINT>> COMMENT '动作信息',
    `displays` ARRAY<STRUCT<display_type :STRING,item :STRING,item_type :STRING,`order` :STRING,pos_id
                            :STRING>> COMMENT '曝光信息',
    `start`    STRUCT<entry :STRING,loading_time :BIGINT,open_ad_id :BIGINT,open_ad_ms :BIGINT,open_ad_skip_ms
                      :BIGINT> COMMENT '启动信息',
    `err`      STRUCT<error_code:BIGINT,msg:STRING> COMMENT '错误信息',
    `ts`       BIGINT  COMMENT '时间戳'
) COMMENT '活动信息表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_log_inc/';

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创建日志表


DROP TABLE IF EXISTS ods_activity_info_full;
CREATE EXTERNAL TABLE ods_activity_info_full
(
    `id`            STRING COMMENT '活动id',
    `activity_name` STRING COMMENT '活动名称',
    `activity_type` STRING COMMENT '活动类型',
    `activity_desc` STRING COMMENT '活动描述',
    `start_time`    STRING COMMENT '开始时间',
    `end_time`      STRING COMMENT '结束时间',
    `create_time`   STRING COMMENT '创建时间'
) COMMENT '活动信息表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_activity_info_full/';

DROP TABLE IF EXISTS ods_activity_rule_full;
CREATE EXTERNAL TABLE ods_activity_rule_full
(
    `id`               STRING COMMENT '编号',
    `activity_id`      STRING COMMENT '类型',
    `activity_type`    STRING COMMENT '活动类型',
    `condition_amount` DECIMAL(16, 2) COMMENT '满减金额',
    `condition_num`    BIGINT COMMENT '满减件数',
    `benefit_amount`   DECIMAL(16, 2) COMMENT '优惠金额',
    `benefit_discount` DECIMAL(16, 2) COMMENT '优惠折扣',
    `benefit_level`    STRING COMMENT '优惠级别'
) COMMENT '活动规则表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_activity_rule_full/';

DROP TABLE IF EXISTS ods_base_category1_full;
CREATE EXTERNAL TABLE ods_base_category1_full
(
    `id`   STRING COMMENT '编号',
    `name` STRING COMMENT '分类名称'
) COMMENT '一级品类表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_base_category1_full/';

DROP TABLE IF EXISTS ods_base_category2_full;
CREATE EXTERNAL TABLE ods_base_category2_full
(
    `id`           STRING COMMENT '编号',
    `name`         STRING COMMENT '二级分类名称',
    `category1_id` STRING COMMENT '一级分类编号'
) COMMENT '二级品类表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_base_category2_full/';

DROP TABLE IF EXISTS ods_base_category3_full;
CREATE EXTERNAL TABLE ods_base_category3_full
(
    `id`           STRING COMMENT '编号',
    `name`         STRING COMMENT '三级分类名称',
    `category2_id` STRING COMMENT '二级分类编号'
) COMMENT '三级品类表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_base_category3_full/';

DROP TABLE IF EXISTS ods_base_dic_full;
CREATE EXTERNAL TABLE ods_base_dic_full
(
    `dic_code`     STRING COMMENT '编号',
    `dic_name`     STRING COMMENT '编码名称',
    `parent_code`  STRING COMMENT '父编号',
    `create_time`  STRING COMMENT '创建日期',
    `operate_time` STRING COMMENT '修改日期'
) COMMENT '编码字典表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_base_dic_full/';
    
DROP TABLE IF EXISTS ods_base_province_full;
CREATE EXTERNAL TABLE ods_base_province_full
(
    `id`         STRING COMMENT '编号',
    `name`       STRING COMMENT '省份名称',
    `region_id`  STRING COMMENT '地区ID',
    `area_code`  STRING COMMENT '地区编码',
    `iso_code`   STRING COMMENT '旧版ISO-3166-2编码，供可视化使用',
    `iso_3166_2` STRING COMMENT '新版IOS-3166-2编码，供可视化使用'
) COMMENT '省份表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_base_province_full/';

DROP TABLE IF EXISTS ods_base_region_full;
CREATE EXTERNAL TABLE ods_base_region_full
(
    `id`          STRING COMMENT '编号',
    `region_name` STRING COMMENT '地区名称'
) COMMENT '地区表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_base_region_full/';

DROP TABLE IF EXISTS ods_base_trademark_full;
CREATE EXTERNAL TABLE ods_base_trademark_full
(
    `id`       STRING COMMENT '编号',
    `tm_name`  STRING COMMENT '品牌名称',
    `logo_url` STRING COMMENT '品牌logo的图片路径'
) COMMENT '品牌表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_base_trademark_full/';

DROP TABLE IF EXISTS ods_cart_info_full;
CREATE EXTERNAL TABLE ods_cart_info_full
(
    `id`           STRING COMMENT '编号',
    `user_id`      STRING COMMENT '用户id',
    `sku_id`       STRING COMMENT 'sku_id',
    `cart_price`   DECIMAL(16, 2) COMMENT '放入购物车时价格',
    `sku_num`      BIGINT COMMENT '数量',
    `img_url`      BIGINT COMMENT '商品图片地址',
    `sku_name`     STRING COMMENT 'sku名称 (冗余)',
    `is_checked`   STRING COMMENT '是否被选中',
    `create_time`  STRING COMMENT '创建时间',
    `operate_time` STRING COMMENT '修改时间',
    `is_ordered`   STRING COMMENT '是否已经下单',
    `order_time`   STRING COMMENT '下单时间',
    `source_type`  STRING COMMENT '来源类型',
    `source_id`    STRING COMMENT '来源编号'
) COMMENT '购物车全量表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_cart_info_full/';

DROP TABLE IF EXISTS ods_coupon_info_full;
CREATE EXTERNAL TABLE ods_coupon_info_full
(
    `id`               STRING COMMENT '购物券编号',
    `coupon_name`      STRING COMMENT '购物券名称',
    `coupon_type`      STRING COMMENT '购物券类型 1 现金券 2 折扣券 3 满减券 4 满件打折券',
    `condition_amount` DECIMAL(16, 2) COMMENT '满额数',
    `condition_num`    BIGINT COMMENT '满件数',
    `activity_id`      STRING COMMENT '活动编号',
    `benefit_amount`   DECIMAL(16, 2) COMMENT '减金额',
    `benefit_discount` DECIMAL(16, 2) COMMENT '折扣',
    `create_time`      STRING COMMENT '创建时间',
    `range_type`       STRING COMMENT '范围类型 1、商品 2、品类 3、品牌',
    `limit_num`        BIGINT COMMENT '最多领用次数',
    `taken_count`      BIGINT COMMENT '已领用次数',
    `start_time`       STRING COMMENT '开始领取时间',
    `end_time`         STRING COMMENT '结束领取时间',
    `operate_time`     STRING COMMENT '修改时间',
    `expire_time`      STRING COMMENT '过期时间'
) COMMENT '优惠券信息表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_coupon_info_full/';

DROP TABLE IF EXISTS ods_sku_attr_value_full;
CREATE EXTERNAL TABLE ods_sku_attr_value_full
(
    `id`         STRING COMMENT '编号',
    `attr_id`    STRING COMMENT '平台属性ID',
    `value_id`   STRING COMMENT '平台属性值ID',
    `sku_id`     STRING COMMENT '商品ID',
    `attr_name`  STRING COMMENT '平台属性名称',
    `value_name` STRING COMMENT '平台属性值名称'
) COMMENT 'sku平台属性表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_sku_attr_value_full/';

DROP TABLE IF EXISTS ods_sku_info_full;
CREATE EXTERNAL TABLE ods_sku_info_full
(
    `id`              STRING COMMENT 'skuId',
    `spu_id`          STRING COMMENT 'spuid',
    `price`           DECIMAL(16, 2) COMMENT '价格',
    `sku_name`        STRING COMMENT '商品名称',
    `sku_desc`        STRING COMMENT '商品描述',
    `weight`          DECIMAL(16, 2) COMMENT '重量',
    `tm_id`           STRING COMMENT '品牌id',
    `category3_id`    STRING COMMENT '品类id',
    `sku_default_igm` STRING COMMENT '商品图片地址',
    `is_sale`         STRING COMMENT '是否在售',
    `create_time`     STRING COMMENT '创建时间'
) COMMENT 'SKU商品表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_sku_info_full/';

DROP TABLE IF EXISTS ods_sku_sale_attr_value_full;
CREATE EXTERNAL TABLE ods_sku_sale_attr_value_full
(
    `id`                   STRING COMMENT '编号',
    `sku_id`               STRING COMMENT 'sku_id',
    `spu_id`               STRING COMMENT 'spu_id',
    `sale_attr_value_id`   STRING COMMENT '销售属性值id',
    `sale_attr_id`         STRING COMMENT '销售属性id',
    `sale_attr_name`       STRING COMMENT '销售属性名称',
    `sale_attr_value_name` STRING COMMENT '销售属性值名称'
) COMMENT 'sku销售属性名称'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_sku_sale_attr_value_full/';

DROP TABLE IF EXISTS ods_spu_info_full;
CREATE EXTERNAL TABLE ods_spu_info_full
(
    `id`           STRING COMMENT 'spu_id',
    `spu_name`     STRING COMMENT 'spu名称',
    `description`  STRING COMMENT '描述信息',
    `category3_id` STRING COMMENT '品类id',
    `tm_id`        STRING COMMENT '品牌id'
) COMMENT 'SPU商品表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    NULL DEFINED AS ''
    LOCATION '/warehouse/gmall/ods/ods_spu_info_full/';

DROP TABLE IF EXISTS ods_cart_info_inc;
CREATE EXTERNAL TABLE ods_cart_info_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,user_id :STRING,sku_id :STRING,cart_price :DECIMAL(16, 2),sku_num :BIGINT,img_url :STRING,sku_name
                  :STRING,is_checked :STRING,create_time :STRING,operate_time :STRING,is_ordered :STRING,order_time
                  :STRING,source_type :STRING,source_id :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '购物车增量表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_cart_info_inc/';

DROP TABLE IF EXISTS ods_comment_info_inc;
CREATE EXTERNAL TABLE ods_comment_info_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,user_id :STRING,nick_name :STRING,head_img :STRING,sku_id :STRING,spu_id :STRING,order_id
                  :STRING,appraise :STRING,comment_txt :STRING,create_time :STRING,operate_time :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '评价表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_comment_info_inc/';

DROP TABLE IF EXISTS ods_coupon_use_inc;
CREATE EXTERNAL TABLE ods_coupon_use_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,coupon_id :STRING,user_id :STRING,order_id :STRING,coupon_status :STRING,get_time :STRING,using_time
                  :STRING,used_time :STRING,expire_time :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '优惠券领用表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_coupon_use_inc/';

DROP TABLE IF EXISTS ods_favor_info_inc;
CREATE EXTERNAL TABLE ods_favor_info_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,user_id :STRING,sku_id :STRING,spu_id :STRING,is_cancel :STRING,create_time :STRING,cancel_time
                  :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '收藏表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_favor_info_inc/';

DROP TABLE IF EXISTS ods_order_detail_inc;
CREATE EXTERNAL TABLE ods_order_detail_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,order_id :STRING,sku_id :STRING,sku_name :STRING,img_url :STRING,order_price
                  :DECIMAL(16, 2),sku_num :BIGINT,create_time :STRING,source_type :STRING,source_id :STRING,split_total_amount
                  :DECIMAL(16, 2),split_activity_amount :DECIMAL(16, 2),split_coupon_amount
                  :DECIMAL(16, 2)> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '订单明细表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_order_detail_inc/';

DROP TABLE IF EXISTS ods_order_detail_activity_inc;
CREATE EXTERNAL TABLE ods_order_detail_activity_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,order_id :STRING,order_detail_id :STRING,activity_id :STRING,activity_rule_id :STRING,sku_id
                  :STRING,create_time :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '订单明细活动关联表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_order_detail_activity_inc/';

DROP TABLE IF EXISTS ods_order_detail_coupon_inc;
CREATE EXTERNAL TABLE ods_order_detail_coupon_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,order_id :STRING,order_detail_id :STRING,coupon_id :STRING,coupon_use_id :STRING,sku_id
                  :STRING,create_time :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '订单明细优惠券关联表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_order_detail_coupon_inc/';

DROP TABLE IF EXISTS ods_order_info_inc;
CREATE EXTERNAL TABLE ods_order_info_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,consignee :STRING,consignee_tel :STRING,total_amount :DECIMAL(16, 2),order_status :STRING,user_id
                  :STRING,payment_way :STRING,delivery_address :STRING,order_comment :STRING,out_trade_no :STRING,trade_body
                  :STRING,create_time :STRING,operate_time :STRING,expire_time :STRING,process_status :STRING,tracking_no
                  :STRING,parent_order_id :STRING,img_url :STRING,province_id :STRING,activity_reduce_amount
                  :DECIMAL(16, 2),coupon_reduce_amount :DECIMAL(16, 2),original_total_amount :DECIMAL(16, 2),freight_fee
                  :DECIMAL(16, 2),freight_fee_reduce :DECIMAL(16, 2),refundable_time :DECIMAL(16, 2)> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '订单表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_order_info_inc/';

DROP TABLE IF EXISTS ods_order_refund_info_inc;
CREATE EXTERNAL TABLE ods_order_refund_info_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,user_id :STRING,order_id :STRING,sku_id :STRING,refund_type :STRING,refund_num :BIGINT,refund_amount
                  :DECIMAL(16, 2),refund_reason_type :STRING,refund_reason_txt :STRING,refund_status :STRING,create_time
                  :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '退单表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_order_refund_info_inc/';

DROP TABLE IF EXISTS ods_order_status_log_inc;
CREATE EXTERNAL TABLE ods_order_status_log_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,order_id :STRING,order_status :STRING,operate_time :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '退单表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_order_status_log_inc/';

DROP TABLE IF EXISTS ods_payment_info_inc;
CREATE EXTERNAL TABLE ods_payment_info_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,out_trade_no :STRING,order_id :STRING,user_id :STRING,payment_type :STRING,trade_no
                  :STRING,total_amount :DECIMAL(16, 2),subject :STRING,payment_status :STRING,create_time :STRING,callback_time
                  :STRING,callback_content :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '支付表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_payment_info_inc/';

DROP TABLE IF EXISTS ods_refund_payment_inc;
CREATE EXTERNAL TABLE ods_refund_payment_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,out_trade_no :STRING,order_id :STRING,sku_id :STRING,payment_type :STRING,trade_no :STRING,total_amount
                  :DECIMAL(16, 2),subject :STRING,refund_status :STRING,create_time :STRING,callback_time :STRING,callback_content
                  :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '退款表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_refund_payment_inc/';

DROP TABLE IF EXISTS ods_user_info_inc;
CREATE EXTERNAL TABLE ods_user_info_inc
(
    `type` STRING COMMENT '变动类型',
    `ts`   BIGINT COMMENT '变动时间',
    `data` STRUCT<id :STRING,login_name :STRING,nick_name :STRING,passwd :STRING,name :STRING,phone_num :STRING,email
                  :STRING,head_img :STRING,user_level :STRING,birthday :STRING,gender :STRING,create_time :STRING,operate_time
                  :STRING,status :STRING> COMMENT '数据',
    `old`  MAP<STRING,STRING> COMMENT '旧值'
) COMMENT '用户表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.JsonSerDe'
    LOCATION '/warehouse/gmall/ods/ods_user_info_inc/';