离线数仓 (十一) -------- ODS 层搭建

柔情只为你懂 2024-04-01 11:09 87阅读 0赞

#### 目录 ####

*  前言
 *  一、ODS层 (用户行为数据)
 *   *  1. 创建日志表 ods\_log
     *  2. Shell 中单引号和双引号区别
     *  3. ODS 层日志表加载数据脚本
 *  二、ODS 层 (业务数据)
 *   *  1. 创建业务表
     *  2. ODS 层业务表首日数据装载脚本
     *  3. ODS层业务表每日数据装载脚本

--------------------

## 前言 ##

保持数据原貌不做任何修改，起到备份数据的作用。

数据采用 LZO 压缩，减少磁盘存储空间。100G 数据可以压缩到 10G 以内。

创建分区表，防止后续的全表扫描，在企业开发中大量使用分区表。

创建外部表。在企业开发中，除了自己用的临时表，创建内部表外，绝大多数场景都是创建外部表。

--------------------

## 一、ODS层 (用户行为数据) ##

### 1. 创建日志表 ods\_log ###

**A、创建支持 lzo 压缩的分区表**

建表语句

hive (gmall)>  drop table if exists ods_log;
    CREATE EXTERNAL TABLE ods_log (`line` string) 
    PARTITIONED BY (`dt` string)  				-- 按照时间创建分区
    STORED AS 					  				-- 指定存储方式，读数据采用LzoTextInputFormat；
    INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
    OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_log'  	-- 指定数据在hdfs上的存储位置
    ;

说明 Hive 的 LZO 压缩：

[https://cwiki.apache.org/confluence/display/Hive/LanguageManual+LZO][https_cwiki.apache.org_confluence_display_Hive_LanguageManual_LZO]

分区规划：

![在这里插入图片描述][b5ace26062824f3786231be5bd4c7211.png]

**B、加载数据**

数据装载

![在这里插入图片描述][0cce2bd64aa448e39cd2bd5da19e65a8.png]

hive (gmall)> 
    load data inpath '/origin_data/gmall/log/topic_log/2020-06-14' into table ods_log partition(dt='2020-06-14');

> 注意：时间格式都配置成 YYYY-MM-DD 格式，这是 Hive 默认支持的时间格式

为lzo压缩文件创建索引

[fancy@node101 bin]$ hadoop jar /opt/module/hadoop-3.1.3/share/hadoop/common/hadoop-lzo-0.4.20.jar com.hadoop.compression.lzo.DistributedLzoIndexer /warehouse/gmall/ods/ods_log/dt=2020-06-14

### 2. Shell 中单引号和双引号区别 ###

**A、在 /home/fancy/bin 创建一个 test.sh 文件**

[fancy@node101 bin]$ vim test.sh

在文件中添加如下内容

#!/bin/bash
    do_date=$1
    
    echo '$do_date'
    echo "$do_date"
    echo "'$do_date'"
    echo '"$do_date"'
    echo `date`

**B、查看执行结果**

[fancy@node101 bin]$ test.sh 2020-06-14
    $do_date
    2020-06-14
    '2020-06-14'
    "$do_date"
    2020年 06月 18日 星期四 21:02:08 CST

**C、总结**

*  单引号不取变量值
 *  双引号取变量值
 *  反引号\`，执行引号中命令
 *  双引号内部嵌套单引号，取出变量值
 *  单引号内部嵌套双引号，不取出变量值

### 3. ODS 层日志表加载数据脚本 ###

**A、编写脚本**

在 node101 的 /home/fancy/bin 目录下创建脚本

[fancy@node101 bin]$ vim hdfs_to_ods_log.sh

在脚本中编写如下内容

#!/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 
    
    echo ================== 日志日期为 $do_date ==================
    sql="
    load data inpath '/origin_data/$APP/log/topic_log/$do_date' into table ${APP}.ods_log partition(dt='$do_date');
    "
    
    hive -e "$sql"
    
    hadoop jar /opt/module/hadoop-3.1.3/share/hadoop/common/hadoop-lzo-0.4.20.jar com.hadoop.compression.lzo.DistributedLzoIndexer /warehouse/$APP/ods/ods_log/dt=$do_date

说明1：

*  \[ -n 变量值 \] 判断变量的值，是否为空
 *  – 变量的值，非空，返回 true
 *  – 变量的值，为空，返回 false

> 注意：\[ -n 变量值 \]不会解析数据，使用\[ -n 变量值 \]时，需要对变量加上双引号(" ")

说明2：

> 查看date命令的使用，date --help

增加脚本执行权限

[fancy@node101 bin]$ chmod 777 hdfs_to_ods_log.sh

**B、脚本使用**

执行脚本

[fancy@node101 module]$ hdfs_to_ods_log.sh 2020-06-14

查看导入数据

## 二、ODS 层 (业务数据) ##

ODS 层业务表分区规划如下

![在这里插入图片描述][314dc2a8898c4a36a2775fd819d2ad67.png]  
ODS 层业务表数据装载思路如下  
![在这里插入图片描述][5fd035ce3102423e9fc24e0af66e7bdb.png]

### 1. 创建业务表 ###

**1.活动信息表**

DROP TABLE IF EXISTS ods_activity_info;
    CREATE EXTERNAL TABLE ods_activity_info(
        `id` STRING COMMENT '编号',
        `activity_name` STRING  COMMENT '活动名称',
        `activity_type` STRING  COMMENT '活动类型',
        `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'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_activity_info/';

**2. 活动规则表**

DROP TABLE IF EXISTS ods_activity_rule;
    CREATE EXTERNAL TABLE ods_activity_rule(
        `id` STRING COMMENT '编号',
        `activity_id` STRING  COMMENT '活动ID',
        `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'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_activity_rule/';

**3. 一级品类表**

DROP TABLE IF EXISTS ods_base_category1;
    CREATE EXTERNAL TABLE ods_base_category1(
        `id` STRING COMMENT 'id',
        `name` STRING COMMENT '名称'
    ) COMMENT '商品一级分类表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_base_category1/';

**4. 二级品类表**

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 '商品二级分类表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_base_category2/';

**5. 三级品类表**

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 '商品三级分类表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_base_category3/';

**6. 编码字典表**

DROP TABLE IF EXISTS ods_base_dic;
    CREATE EXTERNAL TABLE ods_base_dic(
        `dic_code` STRING COMMENT '编号',
        `dic_name` STRING COMMENT '编码名称',
        `parent_code` STRING COMMENT '父编码',
        `create_time` STRING COMMENT '创建日期',
        `operate_time` STRING COMMENT '操作日期'
    ) COMMENT '编码字典表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_base_dic/';

**7. 省份表**

DROP TABLE IF EXISTS ods_base_province;
    CREATE EXTERNAL TABLE ods_base_province (
        `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 'ISO-3166编码，供可视化使用',
        `iso_3166_2` STRING COMMENT 'IOS-3166-2编码，供可视化使用'
    )  COMMENT '省份表'
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_base_province/';

**8. 地区表**

DROP TABLE IF EXISTS ods_base_region;
    CREATE EXTERNAL TABLE ods_base_region (
        `id` STRING COMMENT '编号',
        `region_name` STRING COMMENT '地区名称'
    )  COMMENT '地区表'
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_base_region/';

**9. 品牌表**

DROP TABLE IF EXISTS ods_base_trademark;
    CREATE EXTERNAL TABLE ods_base_trademark (
        `id` STRING COMMENT '编号',
        `tm_name` STRING COMMENT '品牌名称'
    )  COMMENT '品牌表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_base_trademark/';

**10. 购物车表**

DROP TABLE IF EXISTS ods_cart_info;
    CREATE EXTERNAL TABLE ods_cart_info(
        `id` STRING COMMENT '编号',
        `user_id` STRING COMMENT '用户id',
        `sku_id` STRING COMMENT 'skuid',
        `cart_price` DECIMAL(16,2)  COMMENT '放入购物车时价格',
        `sku_num` BIGINT COMMENT '数量',
        `sku_name` STRING COMMENT 'sku名称 (冗余)',
        `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 '加购表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_cart_info/';

**11. 评论表**

DROP TABLE IF EXISTS ods_comment_info;
    CREATE EXTERNAL TABLE ods_comment_info(
        `id` STRING COMMENT '编号',
        `user_id` STRING COMMENT '用户ID',
        `sku_id` STRING COMMENT '商品sku',
        `spu_id` STRING COMMENT '商品spu',
        `order_id` STRING COMMENT '订单ID',
        `appraise` STRING COMMENT '评价',
        `create_time` STRING COMMENT '评价时间'
    ) COMMENT '商品评论表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_comment_info/';

**12. 优惠券信息表**

DROP TABLE IF EXISTS ods_coupon_info;
    CREATE EXTERNAL TABLE ods_coupon_info(
        `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 '优惠券表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_coupon_info/';

**13. 优惠券领用表**

DROP TABLE IF EXISTS ods_coupon_use;
    CREATE EXTERNAL TABLE ods_coupon_use(
        `id` STRING COMMENT '编号',
        `coupon_id` STRING  COMMENT '优惠券ID',
        `user_id` STRING  COMMENT 'skuid',
        `order_id` STRING  COMMENT 'spuid',
        `coupon_status` STRING  COMMENT '优惠券状态',
        `get_time` STRING  COMMENT '领取时间',
        `using_time` STRING  COMMENT '使用时间(下单)',
        `used_time` STRING  COMMENT '使用时间(支付)',
        `expire_time` STRING COMMENT '过期时间'
    ) COMMENT '优惠券领用表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_coupon_use/';

**14. 收藏表**

DROP TABLE IF EXISTS ods_favor_info;
    CREATE EXTERNAL TABLE ods_favor_info(
        `id` STRING COMMENT '编号',
        `user_id` STRING COMMENT '用户id',
        `sku_id` STRING COMMENT 'skuid',
        `spu_id` STRING COMMENT 'spuid',
        `is_cancel` STRING COMMENT '是否取消',
        `create_time` STRING COMMENT '收藏时间',
        `cancel_time` STRING COMMENT '取消时间'
    ) COMMENT '商品收藏表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_favor_info/';

**15. 订单明细表**

DROP TABLE IF EXISTS ods_order_detail;
    CREATE EXTERNAL TABLE ods_order_detail(
        `id` STRING COMMENT '编号',
        `order_id` STRING  COMMENT '订单号',
        `sku_id` STRING COMMENT '商品id',
        `sku_name` STRING COMMENT '商品名称',
        `order_price` DECIMAL(16,2) COMMENT '商品价格',
        `sku_num` BIGINT COMMENT '商品数量',
        `create_time` STRING COMMENT '创建时间',
        `source_type` STRING COMMENT '来源类型',
        `source_id` STRING COMMENT '来源编号',
        `split_final_amount` DECIMAL(16,2) COMMENT '分摊最终金额',
        `split_activity_amount` DECIMAL(16,2) COMMENT '分摊活动优惠',
        `split_coupon_amount` DECIMAL(16,2) COMMENT '分摊优惠券优惠'
    ) COMMENT '订单详情表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_order_detail/';

**16. 订单明细活动关联表**

DROP TABLE IF EXISTS ods_order_detail_activity;
    CREATE EXTERNAL TABLE ods_order_detail_activity(
        `id` STRING COMMENT '编号',
        `order_id` STRING  COMMENT '订单号',
        `order_detail_id` STRING COMMENT '订单明细id',
        `activity_id` STRING COMMENT '活动id',
        `activity_rule_id` STRING COMMENT '活动规则id',
        `sku_id` BIGINT COMMENT '商品id',
        `create_time` STRING COMMENT '创建时间'
    ) COMMENT '订单详情活动关联表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_order_detail_activity/';

**17. 订单明细优惠券关联表**

DROP TABLE IF EXISTS ods_order_detail_coupon;
    CREATE EXTERNAL TABLE ods_order_detail_coupon(
        `id` STRING COMMENT '编号',
        `order_id` STRING  COMMENT '订单号',
        `order_detail_id` STRING COMMENT '订单明细id',
        `coupon_id` STRING COMMENT '优惠券id',
        `coupon_use_id` STRING COMMENT '优惠券领用记录id',
        `sku_id` STRING COMMENT '商品id',
        `create_time` STRING COMMENT '创建时间'
    ) COMMENT '订单详情活动关联表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_order_detail_coupon/';

**18. 订单表**

DROP TABLE IF EXISTS ods_order_info;
    CREATE EXTERNAL TABLE ods_order_info (
        `id` STRING COMMENT '订单号',
        `final_amount` DECIMAL(16,2) COMMENT '订单最终金额',
        `order_status` STRING COMMENT '订单状态',
        `user_id` STRING COMMENT '用户id',
        `payment_way` STRING COMMENT '支付方式',
        `delivery_address` STRING COMMENT '送货地址',
        `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',
        `expire_time` STRING COMMENT '过期时间',
        `tracking_no` STRING COMMENT '物流单编号',
        `province_id` STRING COMMENT '省份ID',
        `activity_reduce_amount` DECIMAL(16,2) COMMENT '活动减免金额',
        `coupon_reduce_amount` DECIMAL(16,2) COMMENT '优惠券减免金额',
        `original_amount` DECIMAL(16,2)  COMMENT '订单原价金额',
        `feight_fee` DECIMAL(16,2)  COMMENT '运费',
        `feight_fee_reduce` DECIMAL(16,2)  COMMENT '运费减免'
    ) COMMENT '订单表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_order_info/';

**19. 退单表**

DROP TABLE IF EXISTS ods_order_refund_info;
    CREATE EXTERNAL TABLE ods_order_refund_info(
        `id` STRING COMMENT '编号',
        `user_id` STRING COMMENT '用户ID',
        `order_id` STRING COMMENT '订单ID',
        `sku_id` STRING COMMENT '商品ID',
        `refund_type` STRING COMMENT '退单类型',
        `refund_num` BIGINT COMMENT '退单件数',
        `refund_amount` DECIMAL(16,2) COMMENT '退单金额',
        `refund_reason_type` STRING COMMENT '退单原因类型',
        `refund_status` STRING COMMENT '退单状态',--退单状态应包含买家申请、卖家审核、卖家收货、退款完成等状态。此处未涉及到，故该表按增量处理
        `create_time` STRING COMMENT '退单时间'
    ) COMMENT '退单表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_order_refund_info/';

**20. 订单状态日志表**

DROP TABLE IF EXISTS ods_order_status_log;
    CREATE EXTERNAL TABLE ods_order_status_log (
        `id` STRING COMMENT '编号',
        `order_id` STRING COMMENT '订单ID',
        `order_status` STRING COMMENT '订单状态',
        `operate_time` STRING COMMENT '修改时间'
    )  COMMENT '订单状态表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_order_status_log/';

**21. 支付表**

DROP TABLE IF EXISTS ods_payment_info;
    CREATE EXTERNAL TABLE ods_payment_info(
        `id` STRING 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',
        `payment_type` STRING COMMENT '支付类型',
        `trade_no` STRING COMMENT '交易编号',
        `payment_amount` DECIMAL(16,2) COMMENT '支付金额',
        `subject` STRING COMMENT '交易内容',
        `payment_status` STRING COMMENT '支付状态',
        `create_time` STRING COMMENT '创建时间',
        `callback_time` STRING COMMENT '回调时间'
    )  COMMENT '支付流水表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_payment_info/';

**22. 退款表**

DROP TABLE IF EXISTS ods_refund_payment;
    CREATE EXTERNAL TABLE ods_refund_payment(
        `id` STRING COMMENT '编号',
        `out_trade_no` STRING COMMENT '对外业务编号',
        `order_id` STRING COMMENT '订单编号',
        `sku_id` STRING COMMENT 'SKU编号',
        `payment_type` STRING COMMENT '支付类型',
        `trade_no` STRING COMMENT '交易编号',
        `refund_amount` DECIMAL(16,2) COMMENT '支付金额',
        `subject` STRING COMMENT '交易内容',
        `refund_status` STRING COMMENT '支付状态',
        `create_time` STRING COMMENT '创建时间',
        `callback_time` STRING COMMENT '回调时间'
    )  COMMENT '支付流水表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_refund_payment/';

**23. 商品平台属性表**

DROP TABLE IF EXISTS ods_sku_attr_value;
    CREATE EXTERNAL TABLE ods_sku_attr_value(
        `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'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_sku_attr_value/';

**24. 商品（SKU）表**

DROP TABLE IF EXISTS ods_sku_info;
    CREATE EXTERNAL TABLE ods_sku_info(
        `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',
        `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'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_sku_info/';

**25. 商品销售属性表**

DROP TABLE IF EXISTS ods_sku_sale_attr_value;
    CREATE EXTERNAL TABLE ods_sku_sale_attr_value(
        `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'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_sku_sale_attr_value/';

**26. 商品（SPU）表**

DROP TABLE IF EXISTS ods_spu_info;
    CREATE EXTERNAL TABLE ods_spu_info(
        `id` STRING COMMENT 'spuid',
        `spu_name` STRING COMMENT 'spu名称',
        `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'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_spu_info/';

**27. 用户表**

DROP TABLE IF EXISTS ods_user_info;
    CREATE EXTERNAL TABLE ods_user_info(
        `id` STRING COMMENT '用户id',
        `login_name` STRING COMMENT '用户名称',
        `nick_name` STRING COMMENT '用户昵称',
        `name` STRING COMMENT '用户姓名',
        `phone_num` STRING COMMENT '手机号码',
        `email` STRING COMMENT '邮箱',
        `user_level` STRING COMMENT '用户等级',
        `birthday` STRING COMMENT '生日',
        `gender` STRING COMMENT '性别',
        `create_time` STRING COMMENT '创建时间',
        `operate_time` STRING COMMENT '操作时间'
    ) COMMENT '用户表'
    PARTITIONED BY (`dt` STRING)
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    STORED AS
      INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
      OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
    LOCATION '/warehouse/gmall/ods/ods_user_info/';

### 2. ODS 层业务表首日数据装载脚本 ###

*A、编写脚本*

（1）在 /home/fancy/bin 目录下创建脚本 hdfs\_to\_ods\_db\_init.sh

[fancy@node101 bin]$ vim hdfs_to_ods_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 
    
    ods_order_info=" 
    load data inpath '/origin_data/$APP/db/order_info/$do_date' OVERWRITE into table ${APP}.ods_order_info partition(dt='$do_date');"
    
    ods_order_detail="
    load data inpath '/origin_data/$APP/db/order_detail/$do_date' OVERWRITE into table ${APP}.ods_order_detail partition(dt='$do_date');"
    
    ods_sku_info="
    load data inpath '/origin_data/$APP/db/sku_info/$do_date' OVERWRITE into table ${APP}.ods_sku_info partition(dt='$do_date');"
    
    ods_user_info="
    load data inpath '/origin_data/$APP/db/user_info/$do_date' OVERWRITE into table ${APP}.ods_user_info partition(dt='$do_date');"
    
    ods_payment_info="
    load data inpath '/origin_data/$APP/db/payment_info/$do_date' OVERWRITE into table ${APP}.ods_payment_info partition(dt='$do_date');"
    
    ods_base_category1="
    load data inpath '/origin_data/$APP/db/base_category1/$do_date' OVERWRITE into table ${APP}.ods_base_category1 partition(dt='$do_date');"
    
    ods_base_category2="
    load data inpath '/origin_data/$APP/db/base_category2/$do_date' OVERWRITE into table ${APP}.ods_base_category2 partition(dt='$do_date');"
    
    ods_base_category3="
    load data inpath '/origin_data/$APP/db/base_category3/$do_date' OVERWRITE into table ${APP}.ods_base_category3 partition(dt='$do_date'); "
    
    ods_base_trademark="
    load data inpath '/origin_data/$APP/db/base_trademark/$do_date' OVERWRITE into table ${APP}.ods_base_trademark partition(dt='$do_date'); "
    
    ods_activity_info="
    load data inpath '/origin_data/$APP/db/activity_info/$do_date' OVERWRITE into table ${APP}.ods_activity_info partition(dt='$do_date'); "
    
    ods_cart_info="
    load data inpath '/origin_data/$APP/db/cart_info/$do_date' OVERWRITE into table ${APP}.ods_cart_info partition(dt='$do_date'); "
    
    ods_comment_info="
    load data inpath '/origin_data/$APP/db/comment_info/$do_date' OVERWRITE into table ${APP}.ods_comment_info partition(dt='$do_date'); "
    
    ods_coupon_info="
    load data inpath '/origin_data/$APP/db/coupon_info/$do_date' OVERWRITE into table ${APP}.ods_coupon_info partition(dt='$do_date'); "
    
    ods_coupon_use="
    load data inpath '/origin_data/$APP/db/coupon_use/$do_date' OVERWRITE into table ${APP}.ods_coupon_use partition(dt='$do_date'); "
    
    ods_favor_info="
    load data inpath '/origin_data/$APP/db/favor_info/$do_date' OVERWRITE into table ${APP}.ods_favor_info partition(dt='$do_date'); "
    
    ods_order_refund_info="
    load data inpath '/origin_data/$APP/db/order_refund_info/$do_date' OVERWRITE into table ${APP}.ods_order_refund_info partition(dt='$do_date'); "
    
    ods_order_status_log="
    load data inpath '/origin_data/$APP/db/order_status_log/$do_date' OVERWRITE into table ${APP}.ods_order_status_log partition(dt='$do_date'); "
    
    ods_spu_info="
    load data inpath '/origin_data/$APP/db/spu_info/$do_date' OVERWRITE into table ${APP}.ods_spu_info partition(dt='$do_date'); "
    
    ods_activity_rule="
    load data inpath '/origin_data/$APP/db/activity_rule/$do_date' OVERWRITE into table ${APP}.ods_activity_rule partition(dt='$do_date');" 
    
    ods_base_dic="
    load data inpath '/origin_data/$APP/db/base_dic/$do_date' OVERWRITE into table ${APP}.ods_base_dic partition(dt='$do_date'); "
    
    ods_order_detail_activity="
    load data inpath '/origin_data/$APP/db/order_detail_activity/$do_date' OVERWRITE into table ${APP}.ods_order_detail_activity partition(dt='$do_date'); "
    
    ods_order_detail_coupon="
    load data inpath '/origin_data/$APP/db/order_detail_coupon/$do_date' OVERWRITE into table ${APP}.ods_order_detail_coupon partition(dt='$do_date'); "
    
    ods_refund_payment="
    load data inpath '/origin_data/$APP/db/refund_payment/$do_date' OVERWRITE into table ${APP}.ods_refund_payment partition(dt='$do_date'); "
    
    ods_sku_attr_value="
    load data inpath '/origin_data/$APP/db/sku_attr_value/$do_date' OVERWRITE into table ${APP}.ods_sku_attr_value partition(dt='$do_date'); "
    
    ods_sku_sale_attr_value="
    load data inpath '/origin_data/$APP/db/sku_sale_attr_value/$do_date' OVERWRITE into table ${APP}.ods_sku_sale_attr_value partition(dt='$do_date'); "
    
    ods_base_province=" 
    load data inpath '/origin_data/$APP/db/base_province/$do_date' OVERWRITE into table ${APP}.ods_base_province;"
    
    ods_base_region="
    load data inpath '/origin_data/$APP/db/base_region/$do_date' OVERWRITE into table ${APP}.ods_base_region;"
    
    case $1 in
        "ods_order_info"){
        
            hive -e "$ods_order_info"
        };;
        "ods_order_detail"){
        
            hive -e "$ods_order_detail"
        };;
        "ods_sku_info"){
        
            hive -e "$ods_sku_info"
        };;
        "ods_user_info"){
        
            hive -e "$ods_user_info"
        };;
        "ods_payment_info"){
        
            hive -e "$ods_payment_info"
        };;
        "ods_base_category1"){
        
            hive -e "$ods_base_category1"
        };;
        "ods_base_category2"){
        
            hive -e "$ods_base_category2"
        };;
        "ods_base_category3"){
        
            hive -e "$ods_base_category3"
        };;
        "ods_base_trademark"){
        
            hive -e "$ods_base_trademark"
        };;
        "ods_activity_info"){
        
            hive -e "$ods_activity_info"
        };;
        "ods_cart_info"){
        
            hive -e "$ods_cart_info"
        };;
        "ods_comment_info"){
        
            hive -e "$ods_comment_info"
        };;
        "ods_coupon_info"){
        
            hive -e "$ods_coupon_info"
        };;
        "ods_coupon_use"){
        
            hive -e "$ods_coupon_use"
        };;
        "ods_favor_info"){
        
            hive -e "$ods_favor_info"
        };;
        "ods_order_refund_info"){
        
            hive -e "$ods_order_refund_info"
        };;
        "ods_order_status_log"){
        
            hive -e "$ods_order_status_log"
        };;
        "ods_spu_info"){
        
            hive -e "$ods_spu_info"
        };;
        "ods_activity_rule"){
        
            hive -e "$ods_activity_rule"
        };;
        "ods_base_dic"){
        
            hive -e "$ods_base_dic"
        };;
        "ods_order_detail_activity"){
        
            hive -e "$ods_order_detail_activity"
        };;
        "ods_order_detail_coupon"){
        
            hive -e "$ods_order_detail_coupon"
        };;
        "ods_refund_payment"){
        
            hive -e "$ods_refund_payment"
        };;
        "ods_sku_attr_value"){
        
            hive -e "$ods_sku_attr_value"
        };;
        "ods_sku_sale_attr_value"){
        
            hive -e "$ods_sku_sale_attr_value"
        };;
        "ods_base_province"){
        
            hive -e "$ods_base_province"
        };;
        "ods_base_region"){
        
            hive -e "$ods_base_region"
        };;
        "all"){
        
            hive -e "$ods_order_info$ods_order_detail$ods_sku_info$ods_user_info$ods_payment_info$ods_base_category1$ods_base_category2$ods_base_category3$ods_base_trademark$ods_activity_info$ods_cart_info$ods_comment_info$ods_coupon_info$ods_coupon_use$ods_favor_info$ods_order_refund_info$ods_order_status_log$ods_spu_info$ods_activity_rule$ods_base_dic$ods_order_detail_activity$ods_order_detail_coupon$ods_refund_payment$ods_sku_attr_value$ods_sku_sale_attr_value$ods_base_province$ods_base_region"
        };;
    esac

（2）增加执行权限

[fancy@node101 bin]$ chmod +x hdfs_to_ods_db_init.sh

**B、脚本使用**

（1）执行脚本

[fancy@node101 bin]$ hdfs_to_ods_db_init.sh all 2020-06-14

（2）查看数据是否导入成功

### 3. ODS层业务表每日数据装载脚本 ###

**A、编写脚本**

（1）在 /home/fancy/bin 目录下创建脚本 hdfs\_to\_ods\_db.sh

[fancy@node101 bin]$ vim hdfs_to_ods_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
    
    ods_order_info=" 
    load data inpath '/origin_data/$APP/db/order_info/$do_date' OVERWRITE into table ${APP}.ods_order_info partition(dt='$do_date');"
    
    ods_order_detail="
    load data inpath '/origin_data/$APP/db/order_detail/$do_date' OVERWRITE into table ${APP}.ods_order_detail partition(dt='$do_date');"
    
    ods_sku_info="
    load data inpath '/origin_data/$APP/db/sku_info/$do_date' OVERWRITE into table ${APP}.ods_sku_info partition(dt='$do_date');"
    
    ods_user_info="
    load data inpath '/origin_data/$APP/db/user_info/$do_date' OVERWRITE into table ${APP}.ods_user_info partition(dt='$do_date');"
    
    ods_payment_info="
    load data inpath '/origin_data/$APP/db/payment_info/$do_date' OVERWRITE into table ${APP}.ods_payment_info partition(dt='$do_date');"
    
    ods_base_category1="
    load data inpath '/origin_data/$APP/db/base_category1/$do_date' OVERWRITE into table ${APP}.ods_base_category1 partition(dt='$do_date');"
    
    ods_base_category2="
    load data inpath '/origin_data/$APP/db/base_category2/$do_date' OVERWRITE into table ${APP}.ods_base_category2 partition(dt='$do_date');"
    
    ods_base_category3="
    load data inpath '/origin_data/$APP/db/base_category3/$do_date' OVERWRITE into table ${APP}.ods_base_category3 partition(dt='$do_date'); "
    
    ods_base_trademark="
    load data inpath '/origin_data/$APP/db/base_trademark/$do_date' OVERWRITE into table ${APP}.ods_base_trademark partition(dt='$do_date'); "
    
    ods_activity_info="
    load data inpath '/origin_data/$APP/db/activity_info/$do_date' OVERWRITE into table ${APP}.ods_activity_info partition(dt='$do_date'); "
    
    ods_cart_info="
    load data inpath '/origin_data/$APP/db/cart_info/$do_date' OVERWRITE into table ${APP}.ods_cart_info partition(dt='$do_date'); "
    
    ods_comment_info="
    load data inpath '/origin_data/$APP/db/comment_info/$do_date' OVERWRITE into table ${APP}.ods_comment_info partition(dt='$do_date'); "
    
    ods_coupon_info="
    load data inpath '/origin_data/$APP/db/coupon_info/$do_date' OVERWRITE into table ${APP}.ods_coupon_info partition(dt='$do_date'); "
    
    ods_coupon_use="
    load data inpath '/origin_data/$APP/db/coupon_use/$do_date' OVERWRITE into table ${APP}.ods_coupon_use partition(dt='$do_date'); "
    
    ods_favor_info="
    load data inpath '/origin_data/$APP/db/favor_info/$do_date' OVERWRITE into table ${APP}.ods_favor_info partition(dt='$do_date'); "
    
    ods_order_refund_info="
    load data inpath '/origin_data/$APP/db/order_refund_info/$do_date' OVERWRITE into table ${APP}.ods_order_refund_info partition(dt='$do_date'); "
    
    ods_order_status_log="
    load data inpath '/origin_data/$APP/db/order_status_log/$do_date' OVERWRITE into table ${APP}.ods_order_status_log partition(dt='$do_date'); "
    
    ods_spu_info="
    load data inpath '/origin_data/$APP/db/spu_info/$do_date' OVERWRITE into table ${APP}.ods_spu_info partition(dt='$do_date'); "
    
    ods_activity_rule="
    load data inpath '/origin_data/$APP/db/activity_rule/$do_date' OVERWRITE into table ${APP}.ods_activity_rule partition(dt='$do_date');" 
    
    ods_base_dic="
    load data inpath '/origin_data/$APP/db/base_dic/$do_date' OVERWRITE into table ${APP}.ods_base_dic partition(dt='$do_date'); "
    
    ods_order_detail_activity="
    load data inpath '/origin_data/$APP/db/order_detail_activity/$do_date' OVERWRITE into table ${APP}.ods_order_detail_activity partition(dt='$do_date'); "
    
    ods_order_detail_coupon="
    load data inpath '/origin_data/$APP/db/order_detail_coupon/$do_date' OVERWRITE into table ${APP}.ods_order_detail_coupon partition(dt='$do_date'); "
    
    ods_refund_payment="
    load data inpath '/origin_data/$APP/db/refund_payment/$do_date' OVERWRITE into table ${APP}.ods_refund_payment partition(dt='$do_date'); "
    
    ods_sku_attr_value="
    load data inpath '/origin_data/$APP/db/sku_attr_value/$do_date' OVERWRITE into table ${APP}.ods_sku_attr_value partition(dt='$do_date'); "
    
    ods_sku_sale_attr_value="
    load data inpath '/origin_data/$APP/db/sku_sale_attr_value/$do_date' OVERWRITE into table ${APP}.ods_sku_sale_attr_value partition(dt='$do_date'); "
    
    ods_base_province=" 
    load data inpath '/origin_data/$APP/db/base_province/$do_date' OVERWRITE into table ${APP}.ods_base_province;"
    
    ods_base_region="
    load data inpath '/origin_data/$APP/db/base_region/$do_date' OVERWRITE into table ${APP}.ods_base_region;"
    
    case $1 in
        "ods_order_info"){
        
            hive -e "$ods_order_info"
        };;
        "ods_order_detail"){
        
            hive -e "$ods_order_detail"
        };;
        "ods_sku_info"){
        
            hive -e "$ods_sku_info"
        };;
        "ods_user_info"){
        
            hive -e "$ods_user_info"
        };;
        "ods_payment_info"){
        
            hive -e "$ods_payment_info"
        };;
        "ods_base_category1"){
        
            hive -e "$ods_base_category1"
        };;
        "ods_base_category2"){
        
            hive -e "$ods_base_category2"
        };;
        "ods_base_category3"){
        
            hive -e "$ods_base_category3"
        };;
        "ods_base_trademark"){
        
            hive -e "$ods_base_trademark"
        };;
        "ods_activity_info"){
        
            hive -e "$ods_activity_info"
        };;
        "ods_cart_info"){
        
            hive -e "$ods_cart_info"
        };;
        "ods_comment_info"){
        
            hive -e "$ods_comment_info"
        };;
        "ods_coupon_info"){
        
            hive -e "$ods_coupon_info"
        };;
        "ods_coupon_use"){
        
            hive -e "$ods_coupon_use"
        };;
        "ods_favor_info"){
        
            hive -e "$ods_favor_info"
        };;
        "ods_order_refund_info"){
        
            hive -e "$ods_order_refund_info"
        };;
        "ods_order_status_log"){
        
            hive -e "$ods_order_status_log"
        };;
        "ods_spu_info"){
        
            hive -e "$ods_spu_info"
        };;
        "ods_activity_rule"){
        
            hive -e "$ods_activity_rule"
        };;
        "ods_base_dic"){
        
            hive -e "$ods_base_dic"
        };;
        "ods_order_detail_activity"){
        
            hive -e "$ods_order_detail_activity"
        };;
        "ods_order_detail_coupon"){
        
            hive -e "$ods_order_detail_coupon"
        };;
        "ods_refund_payment"){
        
            hive -e "$ods_refund_payment"
        };;
        "ods_sku_attr_value"){
        
            hive -e "$ods_sku_attr_value"
        };;
        "ods_sku_sale_attr_value"){
        
            hive -e "$ods_sku_sale_attr_value"
        };;
        "all"){
        
            hive -e "$ods_order_info$ods_order_detail$ods_sku_info$ods_user_info$ods_payment_info$ods_base_category1$ods_base_category2$ods_base_category3$ods_base_trademark$ods_activity_info$ods_cart_info$ods_comment_info$ods_coupon_info$ods_coupon_use$ods_favor_info$ods_order_refund_info$ods_order_status_log$ods_spu_info$ods_activity_rule$ods_base_dic$ods_order_detail_activity$ods_order_detail_coupon$ods_refund_payment$ods_sku_attr_value$ods_sku_sale_attr_value"
        };;
    esac

（2）修改权限

[fancy@node101 bin]$ chmod +x hdfs_to_ods_db.sh

**B、脚本使用**

（1）执行脚本

[fancy@node101 bin]$ hdfs_to_ods_db.sh all 2020-06-14

（2）查看数据是否导入成功

[https_cwiki.apache.org_confluence_display_Hive_LanguageManual_LZO]: https://cwiki.apache.org/confluence/display/Hive/LanguageManual+LZO
[b5ace26062824f3786231be5bd4c7211.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/8e37bbeb6604424ca7f5d846dd2ec358.png
[0cce2bd64aa448e39cd2bd5da19e65a8.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/11eca215bacc4a559e1f836c891462ff.png
[314dc2a8898c4a36a2775fd819d2ad67.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/78a71c9203f34a1d92f03b09e54bb277.png
[5fd035ce3102423e9fc24e0af66e7bdb.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/01/eabe409e03504e40b1eea5316ee58286.png