因工作需求，要將mysql的資料匯入到Hive中通過Spark SQL進行分析，經過一翻周折，完成了這個自動化指令碼，算是實現需求的第一步，也算是在Shell程式設計這條路上算是邁出了第一步。
mysql中每天一張表，hive中一個表，按時間分割槽，如dt=180820.
以下是導資料的Shell指令碼：

#!/bin/bash
source /etc/profile

host=127.0.0.1

for((i=0;;i++))
do   
    day=$(date "+%y%m%d" -d "$1 $i day")
    if [ ${day} -gt $2 ]
    then
 

       break
    else
        sql="select pass_id,pass_time,camera_id,camera_code,device_id,server_id,face_img_url,environ_img_url,quality_score,age,gender,attractive,eyeglass,sunglass,smile,mask,race,eyeopen,mouthopen,beard,feature,create_time from brsface.t_person_passinfo_${day} where \$CONDITIONS"
 
; 

        sqoop import --connect jdbc:mysql://${host}:3306/brsface \
        --username root \
        --password 123456 \
        --query "${sql}" \
        --fields-terminated-by '\001' \
        --delete-target-dir \
        --target-dir hdfs://hadoop01:9000/data01/mysql2hdfs/brsface/t_person_passinfo/${day}/ \
        --split-by pass_id \
 

        -m 1

        echo Sqoop import data:${day} success...

        hive -e "
        use brsface;   

        CREATE EXTERNAL TABLE IF NOT EXISTS brsface.t_person_passinfo (
        pass_id                 string,                                 
        pass_time               string,                                 
        camera_id               string,                                 
        camera_code             bigint,                                 
        device_id               string,                                 
        server_id               string,                                 
        face_img_url            string,                                 
        environ_img_url         string,                                 
        quality_score           double,                                 
        age                     int,                                    
        gender                  int,                                    
        attractive              int,                                    
        eyeglass                int,                                    
        sunglass                int,                                    
        smile                   int,                                    
        mask                    int,                                    
        race                    int,                                    
        eyeopen                 int,                                    
        mouthopen               int,                                    
        beard                   int,                                    
        feature                 string,                                     
        create_time             string
        )PARTITIONED BY (
          dt               string
        )
        row format delimited fields terminated by '\001'
        stored as textfile 
        location 'hdfs://hadoop01:9000/data01/mysql2hdfs/brsface/t_person_passinfo/';

        ALTER TABLE brsface.t_person_passinfo ADD IF NOT EXISTS partition(dt='${day}') location '${day}';
        "
        echo Hive create table add partition: dt=${day} ok...
    fi
done