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一、用户行为数据

一、用户行为数据

1.1创建日志表

1）创建支持lzo压缩的分区表

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
;

2）加载数据

load data inpath '/data/log/topic_log/2021-05-10' into table ods_log partition(dt='2021-05-10');

3）查看是否加载成功

数据仓库搭建ODS层[通俗易懂]

4）为lzo压缩文件创建索引

hadoop jar /training/hadoop-3.1.3/share/hadoop/common/hadoop-lzo-0.4.20.jar com.hadoop.compression.lzo.DistributedLzoIndexer -Dmapreduce.job.queuename=hive/warehouse/gmall/ods/ods_log/dt=2021-05-10

1.2ODS层加载数据脚本

vi hdfs_to_ods_log.sh

#!/bin/bash

# 定义变量方便修改
APP=default
hive=/training/hive/bin/hive
hadoop=/training/hadoop-3.1.3/bin/hadoop

# 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 $do_date ==================
sql="
load data inpath '/data/log/topic_log/$do_date' into table default.ods_log partition(dt='$do_date');
"

$hive -e "$sql"

hadoop jar /training/hadoop-3.1.3/share/hadoop/common/hadoop-lzo-0.4.20.jar
com.hadoop.compression.lzo.DistributedLzoIndexer -Dmapreduce.job.queuename=hive/warehouse/gmall/ods/ods_log/dt=$do_date

增加脚本执行权限：chmod 777 hdfs_to_ods_log.sh

脚本使用：hdfs_to_ods_log.sh 2020-06-15

查看导入数据：select * from ods_log where dt=’2020-06-15′ limit 2;

脚本执行时间：企业开发中一般在每日凌晨30分~1点

二、业务数据

2.1hive建表

#订单表（增量及更新）

```
create external table ods_order_info (
    `id` string COMMENT '订单号',
    `final_total_amount` decimal(16,2) COMMENT '订单金额',
    `order_status` string COMMENT '订单状态',
    `user_id` string COMMENT '用户id',
    `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',
    `province_id` string COMMENT '省份ID',
    `benefit_reduce_amount` decimal(16,2) COMMENT '优惠金额',
    `original_total_amount` decimal(16,2)  COMMENT '原价金额',
    `feight_fee` decimal(16,2)  COMMENT '运费'
) COMMENT '订单表'
PARTITIONED BY (`dt` string) -- 按照时间创建分区
row format delimited fields terminated by '\t' -- 指定分割符为\t 
STORED AS -- 指定存储方式，读数据采用LzoTextInputFormat；输出数据采用TextOutputFormat
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
location '/warehouse/gmall/ods/ods_order_info/' -- 指定数据在hdfs上的存储位置
;
```

#订单详情表（增量）

```
create external table ods_order_detail( 
    `id` string COMMENT '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` 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'
) 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/';
```

#SKU商品表（全量）

```
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` 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 '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/';
```

#用户表（增量及更新）

```
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',
    `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/';
```

#商品一级分类表（全量）

```
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/';
```

#商品二级分类表（全量）

```
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/';
```

#商品三级分类表（全量）

```
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'
```

#支付流水表（增量）

```
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 '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
location '/warehouse/gmall/ods/ods_payment_info/';
```

#省份表（特殊）

```
create external table ods_base_province (
    `id`   bigint 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编码,superset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/';
```

#地区表（特殊）

```
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/';
```

#品牌表（全量）

```
create external table ods_base_trademark (
    `tm_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/';
```

#订单状态表（增量）

```
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/';
```

#SPU商品表（全量）

```
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/';
```

#商品评论表（增量）

```
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/';
```

#退单表（增量）

```
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 '退款类型',
    `refund_num` bigint COMMENT '退款件数',
    `refund_amount` decimal(16,2) COMMENT '退款金额',
    `refund_reason_type` string COMMENT '退款原因类型',
    `create_time` string COMMENT '退款时间'
) 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/';
```

#加购表（全量）

```
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/';
```

#商品收藏表（全量）

```
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/';
```

#优惠券领用表（新增及变化）

```
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)'
) 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/';
```

#优惠券表（全量）

```
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',
  `spu_id` string COMMENT '商品id',
  `tm_id` string COMMENT '品牌id',
  `category3_id` string COMMENT '品类id',
  `limit_num` bigint COMMENT '最多领用次数',
  `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/';
```

#活动表（全量）

```
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/';
```

#活动订单关联表（增量）

```
create external table ods_activity_order(
    `id` string COMMENT '编号',
    `activity_id` string  COMMENT '优惠券ID',
    `order_id` string  COMMENT 'skuid',
    `create_time` string  COMMENT '领取时间'
) COMMENT '活动订单关联表'
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_activity_order/';
```

#优惠规则表（全量）

```
create external table ods_activity_rule(
    `id` string COMMENT '编号',
    `activity_id` string  COMMENT '活动ID',
    `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 '优惠规则表'
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/';
```

#编码字典表（全量）

```
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/';
```

2.2ODS层加载数据脚本

vi hdfs_to_ods_db.sh

#!/bin/bash

APP=default
hive=/training/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 "$2" ] ;then
    do_date=$2
else 
    do_date=`date -d "-1 day" +%F`
fi

sql1=" 
load data inpath '/data/offgmall/db/order_info/$do_date' OVERWRITE into table ${APP}.ods_order_info partition(dt='$do_date');

load data inpath '/data/offgmall/db/order_detail/$do_date' OVERWRITE into table ${APP}.ods_order_detail partition(dt='$do_date');

load data inpath '/data/offgmall/db/sku_info/$do_date' OVERWRITE into table ${APP}.ods_sku_info partition(dt='$do_date');

load data inpath '/data/offgmall/db/user_info/$do_date' OVERWRITE into table ${APP}.ods_user_info partition(dt='$do_date');

load data inpath '/data/offgmall/db/payment_info/$do_date' OVERWRITE into table ${APP}.ods_payment_info partition(dt='$do_date');

load data inpath '/data/offgmall/db/base_category1/$do_date' OVERWRITE into table ${APP}.ods_base_category1 partition(dt='$do_date');

load data inpath '/data/offgmall/db/base_category2/$do_date' OVERWRITE into table ${APP}.ods_base_category2 partition(dt='$do_date');

load data inpath '/data/offgmall/db/base_category3/$do_date' OVERWRITE into table ${APP}.ods_base_category3 partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/base_trademark/$do_date' OVERWRITE into table ${APP}.ods_base_trademark partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/activity_info/$do_date' OVERWRITE into table ${APP}.ods_activity_info partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/activity_order/$do_date' OVERWRITE into table ${APP}.ods_activity_order partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/cart_info/$do_date' OVERWRITE into table ${APP}.ods_cart_info partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/comment_info/$do_date' OVERWRITE into table ${APP}.ods_comment_info partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/coupon_info/$do_date' OVERWRITE into table ${APP}.ods_coupon_info partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/coupon_use/$do_date' OVERWRITE into table ${APP}.ods_coupon_use partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/favor_info/$do_date' OVERWRITE into table ${APP}.ods_favor_info partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/order_refund_info/$do_date' OVERWRITE into table ${APP}.ods_order_refund_info partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/order_status_log/$do_date' OVERWRITE into table ${APP}.ods_order_status_log partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/spu_info/$do_date' OVERWRITE into table ${APP}.ods_spu_info partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/activity_rule/$do_date' OVERWRITE into table ${APP}.ods_activity_rule partition(dt='$do_date'); 

load data inpath '/data/offgmall/db/base_dic/$do_date' OVERWRITE into table ${APP}.ods_base_dic partition(dt='$do_date'); 
"

sql2=" 
load data inpath '/data/offgmall/db/base_province/$do_date' OVERWRITE into table ${APP}.ods_base_province;

load data inpath '/data/offgmall/db/base_region/$do_date' OVERWRITE into table ${APP}.ods_base_region;
"
case $1 in
"first"){
    $hive -e "$sql1$sql2"
};;
"all"){
    $hive -e "$sql1"
};;
esac

修改权限： chmod 777 hdfs_to_ods_db.sh

初次导入：初次导入时，脚本的第一个参数应为first，线上环境不传第二个参数，自动获取前一天日期

hdfs_to_ods_db.sh first 2022-05-10

每日导入：每日重复导入，脚本的第一个参数应为all，线上环境不传第二个参数，自动获取前一天日期。

hdfs_to_ods_db.sh all 2020-06-15

测试数据是否导入成功：select * from ods_order_detail where dt=’2022-05-10′;

其他内容请关注我的博客！在<项目>专栏里！！！

本文参考于：

尚硅谷大数据项目

发布者：全栈程序员-站长，转载请注明出处：https://javaforall.net/185593.html原文链接：https://javaforall.net

数据仓库搭建ODS层[通俗易懂]

一、用户行为数据

1.1创建日志表

1.2ODS层加载数据脚本

二、业务数据

2.1hive建表

2.2ODS层加载数据脚本

关于作者

全栈程序员-站长

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数据仓库搭建ODS层[通俗易懂]

一、用户行为数据

1.1创建日志表

1.2ODS层加载数据脚本

二、业务数据

2.1hive建表

2.2ODS层加载数据脚本

关于作者

全栈程序员-站长

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