1 MySQL安装

• ==卸载安装均需要在root用户身份下==

1.1 安装包准备

1. 查看mysql是否安装，如果安装，先卸载（需要在root角色下）

#查看
rpm -qa|grep mysql

#卸载
rpm -e --nodeps mysql-libs-5.1.73-7.el6.x86_64

1. 解压mysql-libs.zip文件到/opt/software目录

unzip mysql-libs.zip

1.2 安装mysql服务器

1. 安装mysql服务端(在/opt/software/mysql-libs目录下)

   1. 如果安装报错（博主遇到了），参考这篇文章：https://blog.csdn.net/qq_42191775/article/details/103939104

rpm -ivh MySQL-server-5.6.24-1.el6.x86_64.rpm

1. 查看产生的随机密码(之后改密码需要用)

cat /root/.mysql_secret

1. 查看mysql状态

service mysql status

1. 启动mysql

service mysql start

1.3 安装mysql客户端

1. 安装mysql客户端(在/opt/software/mysql-libs目录下)

rpm -ivh MySQL-client-5.6.24-1.el6.x86_64.rpm

1. 连接Mysql

mysql -uroot -p[步骤1.2.2得到的随机密钥]

1. 修改密码

set password=password('root')

1. 退出

exit

1.4 mysql中主机配置（user表）

配置只要是root 用户+密码，在任何主机上都能登录MySQL 数据库。

1. 进入mysql

mysql -uroot -proot

1. 显示数据库

show databases;

1. 使用mysql数据库

use mysql;

1. 显示mysql中的所有表

show tables;

1. 查询user表

select User, Host, Password from user;

1. 修改user 表，把Host 表内容修改为%

update user set host='%' where host='localhost';

1. 删除root用户其他host

delete from user where Host='hadoop102';
delete from user where Host='127.0.0.1';
delete from user where Host='::1';

1. 刷新

flush privileges;

1. 退出

quit

2 Sqoop的安装

2.1 安装sqoop

1. 上传安装包sqoop-1.4.6.bin__hadoop-2.0.4-alpha.tar.gz 到hadoop102 的/opt/software路径中
2. 将安装包解压到/opt/module

tar -zxf sqoop-1.4.6.bin__hadoop-2.0.4-alpha.tar.gz -C /opt/module/

1. 修改文件夹的名字(/opt/module)

mv sqoop-1.4.6.bin__hadoop-2.0.4-alpha/ sqoop

2.2 修改配置文件

1. 进入到/opt/module/sqoop/conf目录，重命名配置文件

mv sqoop-env-template.sh sqoop-env.sh

1. 修改配置文件

#增加如下内容
export HADOOP_COMMON_HOME=/opt/module/hadoop-2.7.2
export HADOOP_MAPRED_HOME=/opt/module/hadoop-2.7.2
export HIVE_HOME=/opt/module/hive
export ZOOKEEPER_HOME=/opt/module/zookeeper-3.4.10
export ZOOCFGDIR=/opt/module/zookeeper-3.4.10/conf
export HBASE_HOME=/opt/module/hbase

2.3 拷贝JDBC驱动

1. 进入到/opt/software/mysql-libs 路径，解压mysql-connector-java-5.1.27.tar.gz 到当前路径

tar -zxvf mysql-connector-java-5.1.27.tar.gz

1. 进入到/opt/software/mysql-libs/mysql-connector-java-5.1.27 路径，拷贝jdbc 驱动到sqoop的lib目录下。

cp mysql-connector-java-5.1.27-bin.jar /opt/module/sqoop/lib/

2.4 测试Sqoop是否能连接数据库

bin/sqoop list-databases --connect jdbc:mysql://hadoop102:3306/ --username root --password root

3 业务数据的生成

1. 在hadoop102 的/opt/module/目录下创建db_log 文件夹

mkdir db_log

1. 把gmall-mock-db-2020-03-16-SNAPSHOT.jar 和application.properties 上传到hadoop102的/opt/module/db_log 路径上。

2. 根据需求修改application.properties 相关配置

   1. 通过修改mock.date=2020-03-11，生成那天的数据
   2. 通过修改mock.clear=0,删除原有的数据，生成新的随机数据

logging.pattern.console=%m%n
logging.level.root=info

spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://hadoop102:3306/gmall?characterEncoding=utf-8&useSSL=false&serverTimezone=GMT%2B8
spring.datasource.username=root
spring.datasource.password=root


logging.pattern.console=%m%n

mybatis-plus.global-config.db-config.field-strategy=not_null

#业务日期
mock.date=2020-03-11
#是否重置 1表示重置 0表示不重置
mock.clear=0

#是否生成新用户
mock.user.count=50
#男性比例
mock.user.male-rate=20

#收藏取消比例
mock.favor.cancel-rate=10
#收藏数量
mock.favor.count=100

#购物车数量
mock.cart.count=10
#每个商品最多购物个数
mock.cart.sku-maxcount-per-cart=3

#用户下单比例
mock.order.user-rate=80
#用户从购物中购买商品比例
mock.order.sku-rate=70
#是否参加活动
mock.order.join-activity=1
#是否使用购物券
mock.order.use-coupon=1
#购物券领取人数
mock.coupon.user-count=10

#支付比例
mock.payment.rate=70
#支付方式 支付宝：微信 ：银联
mock.payment.payment-type=30:60:10

#评价比例 好：中：差：自动
mock.comment.appraise-rate=30:10:10:50

#退款原因比例：质量问题 商品描述与实际描述不一致 缺货 号码不合适 拍错 不想买了 其他
mock.refund.reason-rate=30:10:20:5:15:5:5

1. 并在该目录下执行，如下命令，生成2020-03-10 日期数据：

java -jar gmall-mock-db-2020-03-16-SNAPSHOT.jar

4 同步策略

4.1 全量同步策略

• 每天存储一份完整的数据，适用于数据量不大，且每天既有新数据插入，也会有旧数据修改的场景。

4.2 增量同步数据

• 每天存储一份增量数据，适用于数据量大，且每天只会有新数据插入的场景。

4.3 新增及变化策略

• 存储创建时间和操作时间都是当天的数据

4.4 特殊策略

• 只同步一遍就可以的数据。如客观世界维度，日期维度，地区维度的数据。

5 mysql->sqoop->hdfs脚本编写

1. 在/home/atguigu/bin目录下创建mysql_to_hdfs.sh

#! /bin/bash
sqoop=/opt/module/sqoop/bin/sqoop

do_date=`date -d '-1 day' +%F`
if [[ -n "$2" ]]; then
    do_date=$2
fi
import_data(){
$sqoop import \
--connect jdbc:mysql://hadoop102:3306/gmall \
--username root \
--password root \
--target-dir /origin_data/gmall/db/$1/$do_date \
--delete-target-dir \
--query "$2 and \$CONDITIONS" \
--num-mappers 1 \
--fields-terminated-by '\t' \
--compress \
--compression-codec lzop \
--null-string '\\N' \
--null-non-string '\\N'

hadoop jar /opt/module/hadoop-2.7.2/share/hadoop/common/hadoop-lzo-0.4.20.jar com.hadoop.compression.lzo.DistributedLzoIndexer /origin_data/gmall/db/$1/$do_date
}
import_order_info(){
    import_data order_info "select
            id,
            final_total_amount,
            order_status,
            user_id,
            out_trade_no,
            create_time,
            operate_time,
            province_id,
            benefit_reduce_amount,
            original_total_amount,
            feight_fee
        from order_info
        where (date_format(create_time,'%Y-%m-%d')='$do_date'
        or date_format(operate_time,'%Y-%m-%d')='$do_date')"
}
import_coupon_use(){
    import_data coupon_use "select
            id,
            coupon_id,
            user_id,
            order_id,
            coupon_status,
            get_time,
            using_time,
            used_time
        from coupon_use
        where (date_format(get_time,'%Y-%m-%d')='$do_date'
        or date_format(using_time,'%Y-%m-%d')='$do_date'
        or date_format(used_time,'%Y-%m-%d')='$do_date')"
}
import_order_status_log(){
    import_data order_status_log "select
            id,
            order_id,
            order_status,
            operate_time
        from order_status_log
        where
        date_format(operate_time,'%Y-%m-%d')='$do_date'"
}
import_activity_order(){
    import_data activity_order "select
            id,
            activity_id,
            order_id,
            create_time
        from activity_order
        where
        date_format(create_time,'%Y-%m-%d')='$do_date'"
}
import_user_info(){
    import_data "user_info" "select
            id,
            name,
            birthday,
            gender,
            email,
            user_level,
            create_time,
            operate_time
        from user_info
        where (DATE_FORMAT(create_time,'%Y-%m-%d')='$do_date'
        or DATE_FORMAT(operate_time,'%Y-%m-%d')='$do_date')"
}
import_order_detail(){
    import_data order_detail "select
            od.id,
            order_id,
            user_id,
            sku_id,
            sku_name,
            order_price,
            sku_num,
            od.create_time
        from order_detail od
        join order_info oi
        on od.order_id=oi.id
        where
        DATE_FORMAT(od.create_time,'%Y-%m-%d')='$do_date'"
}
import_payment_info(){
    import_data "payment_info" "select
            id,
            out_trade_no,
            order_id,
            user_id,
            alipay_trade_no,
            total_amount,
            subject,
            payment_type,
            payment_time
        from payment_info
        where
        DATE_FORMAT(payment_time,'%Y-%m-%d')='$do_date'"
}
import_comment_info(){
    import_data comment_info "select
            id,
            user_id,
            sku_id,
            spu_id,
            order_id,
            appraise,
            comment_txt,
            create_time
        from comment_info
        where date_format(create_time,'%Y-%m-%d')='$do_date'"
}
import_order_refund_info(){
            import_data order_refund_info "select
            id,
            user_id,
            order_id,
            sku_id,
            refund_type,
            refund_num,
            refund_amount,
            refund_reason_type,
            create_time
        from order_refund_info
        where
        date_format(create_time,'%Y-%m-%d')='$do_date'"
}
import_sku_info(){
    import_data sku_info "select
            id,
            spu_id,
            price,
            sku_name,
            sku_desc,
            weight,
            tm_id,
            category3_id,
            create_time
        from sku_info where 1=1"
}
import_base_category1(){
    import_data "base_category1" "select
            id,
            name
        from base_category1 where 1=1"
}
import_base_category2(){
    import_data "base_category2" "select
            id,
            name,
            category1_id
        from base_category2 where 1=1"
}
import_base_category3(){
    import_data "base_category3" "select
            id,
            name,
            category2_id
        from base_category3 where 1=1"
}
import_base_province(){
    import_data base_province "select
            id,
            name,
            region_id,
            area_code,
            iso_code
        from base_province
        where 1=1"
}
import_base_region(){
    import_data base_region "select
            id,
            region_name
        from base_region
        where 1=1"
}
import_base_trademark(){
    import_data base_trademark "select
            tm_id,
            tm_name
        from base_trademark
        where 1=1"
}
import_spu_info(){
    import_data spu_info "select
            id,
            spu_name,
            category3_id,
            tm_id
        from spu_info
        where 1=1"
}
import_favor_info(){
    import_data favor_info "select
            id,
            user_id,
            sku_id,
            spu_id,
            is_cancel,
            create_time,
            cancel_time
        from favor_info
        where 1=1"
}
import_cart_info(){
    import_data cart_info "select
        id,
        user_id,
        sku_id,
        cart_price,
        sku_num,
        sku_name,
        create_time,
        operate_time,
        is_ordered,
        order_time
    from cart_info
    where 1=1"
}
import_coupon_info(){
    import_data coupon_info "select
            id,
            coupon_name,
            coupon_type,
            condition_amount,
            condition_num,
            activity_id,
            benefit_amount,
            benefit_discount,
            create_time,
            range_type,
            spu_id,
            tm_id,
            category3_id,
            limit_num,
            operate_time,
            expire_time
        from coupon_info
        where 1=1"
}
import_activity_info(){
    import_data activity_info "select
            id,
            activity_name,
            activity_type,
            start_time,
            end_time,
            create_time
        from activity_info
        where 1=1"
}
import_activity_rule(){
    import_data activity_rule "select
            id,
            activity_id,
            condition_amount,
            condition_num,
            benefit_amount,
            benefit_discount,
            benefit_level
        from activity_rule
        where 1=1"
}
import_base_dic(){
    import_data base_dic "select
            dic_code,
            dic_name,
            parent_code,
            create_time,
            operate_time
        from base_dic
        where 1=1"
}
case $1 in
"order_info")
    import_order_info
;;
"base_category1")
    import_base_category1
;;
"base_category2")
    import_base_category2
;;
"base_category3")
    import_base_category3
;;
"order_detail")
    import_order_detail
;;
"sku_info")
    import_sku_info
;;
"user_info")
    import_user_info
;;
"payment_info")
    import_payment_info
;;
"base_province")
    import_base_province
;;
"base_region")
    import_base_region
;;
"base_trademark")
    import_base_trademark
;;
"activity_info")
    import_activity_info
;;
"activity_order")
    import_activity_order
;;
"cart_info")
    import_cart_info
;;
"comment_info")
    import_comment_info
;;
"coupon_info")
    import_coupon_info
;;
"coupon_use")
    import_coupon_use
;;
"favor_info")
    import_favor_info
;;
"order_refund_info")
    import_order_refund_info
;;
"order_status_log")
    import_order_status_log
;;
"spu_info")
    import_spu_info
;;
"activity_rule")
    import_activity_rule
;;
"base_dic")
    import_base_dic
;;
"first")
    import_base_category1
    import_base_category2
    import_base_category3
    import_order_info
    import_order_detail
    import_sku_info
    import_user_info
    import_payment_info
    import_base_province
    import_base_region
    import_base_trademark
    import_activity_info
    import_activity_order
    import_cart_info
    import_comment_info
    import_coupon_use
    import_coupon_info
    import_favor_info
    import_order_refund_info
    import_order_status_log
    import_spu_info
    import_activity_rule
    import_base_dic
;;
"all")
    import_base_category1
    import_base_category2
    import_base_category3
    import_order_info
    import_order_detail
    import_sku_info
    import_user_info
    import_payment_info
    import_base_trademark
    import_activity_info
    import_activity_order
    import_cart_info
    import_comment_info
    import_coupon_use
    import_coupon_info
    import_favor_info
    import_order_refund_info
    import_order_status_log
    import_spu_info
    import_activity_rule
    import_base_dic
;;
esac

• 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

1. 修改脚本权限

chmod 777 mysql_to_hdfs.sh

1. 初次导入

mysql_to_hdfs.sh first 2020-03-10

1. 每日导入

mysql_to_hdfs.sh all 2020-03-11

5.1 项目经验

• Hive 中的Null 在底层是以“\N”来存储，而MySQL 中的Null 在底层就是Null，为了保证数据两端的一致性。在导出数据时采用--input-null-string和--input-null-non-string 两个参数。导入数据时采用--null-string 和--null-non-string。