hive导入导出数据自动化的shell脚本

传参表示要导入的数据分期日期，sqoop导入，实例：

#!/bin/bash
export SQOOP_HOME=/usr/bin/sqoop
if [ $# == 1 ]
   then
      dateStr=$1
   else
      dateStr=`date -d '-1 day' +'%Y-%m-%d'`
fi

dateNowStr=`date +'%Y-%m-%d'`

yearStr=`date -d ${dateStr} +'%Y'`
monthStr=`date -d ${dateStr} +'%m'`

jdbcUrl='jdbc:mysql://192.168.88.80:3306/nev'
username='root'
password='123456'
m='1'

${SQOOP_HOME} import 
--connect ${jdbcUrl} 
--username ${username} 
--password ${password} 
--query "SELECt 
id,create_date_time,session_id,sid,create_time,seo_source,seo_keywords,ip,
AREA,country,province,city,origin_channel,USER AS user_match,manual_time,begin_time,end_time,
last_customer_msg_time_stamp,last_agent_msg_time_stamp,reply_msg_count,
msg_count,browser_name,os_info, '${dateNowStr}' AS starts_time  
FROM web_chat_ems_${yearStr}_${monthStr} WHERe create_time BETWEEN '${dateStr} 00:00:00' AND '${dateStr} 
23:59:59' and $CONDITIONS" 
--hcatalog-database itcast_ods 
--hcatalog-table web_chat_ems 
-m ${m}

${SQOOP_HOME} import 
--connect ${jdbcUrl} 
--username ${username} 
--password ${password} 
--query "SELECt 
        temp2.*, '${dateNowStr}' AS start_time
FROM (SELECt id FROM web_chat_ems_${yearStr}_${monthStr} WHERe create_time BETWEEN '${dateStr} 00:00:00' 
AND '${dateStr} 23:59:59') temp1
        JOIN web_chat_text_ems_${yearStr}_${monthStr} temp2 ON temp1.id = temp2.id where 1=1 and $CONDIT
IONS" 
--hcatalog-database itcast_ods 
--hcatalog-table web_chat_text_ems 
-m ${m}

语法：./hive -e|-f ‘sql语句|SQL脚本’ -S
例子：

#!/bin/bash
export HIVE_HOME=/usr/bin/hive
if [ $# == 1 ]
then
  dateStr=$1
  else
     dateStr=`date +'%Y-%m-%d'`
fi

sqlStr="
set hive.exec.dynamic.partition=true;
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.exec.compress.intermediate=true;
set hive.exec.compress.output=true;
set hive.exec.orc.compression.strategy=COMPRESSION;

insert into table itcast_dwd.visit_consult_dwd partition(yearinfo,quarterinfo,monthinfo,dayinfo)
select
    wce.session_id,
    wce.sid,
    unix_timestamp(wce.create_time) as create_time,  
    wce.seo_source,
    wce.ip,
    wce.area,
    wce.msg_count,
    wce.origin_channel,
    wcte.referrer,
    wcte.from_url,
    wcte.landing_page_url,
    wcte.url_title,
    wcte.platform_description,
    wcte.other_params,
    wcte.history,
    substr(wce.create_time,12,2) as hourinfo,
    substr(wce.create_time,1,4) as yearinfo, 
    quarter(wce.create_time) as quarterinfo,
    substr(wce.create_time,6,2) as monthinfo,
    substr(wce.create_time,9,2) as dayinfo
from (select * from itcast_ods.web_chat_ems where starts_time='${dateStr}') wce join (select * from itcast_ods.web_chat_text_ems where start_time='${dateStr}') wcte   
    on wce.id = wcte.id;
"

${HIVE_HOME} -e "${sqlStr}" -S

增量数据导出操作说明：
在执行导出的时候, 也需要将mysql中之前的统计的当年当季度和当月的结果数据删除, 然后重新导入操作
此时我们处理的方案, 要进行简化一些, 受影响最大范围当年的数据, 可以直接将当年的统计结果数据全部都删除, 然后重新到DWS层当年的所有数据

#!/bin/bash
export SQOOP_HOME=/usr/bin/sqoop
if [ $# == 1 ]
then
   TD_DATE=$1  
else
   TD_DATE=`date -d '-1 day' +'%Y-%m-%d'`
fi

TD_YEAR=`date -d ${TD_DATE} +%Y`

mysql -uroot -p123456 -h192.168.52.150 -P3306 -e "delete from scrm_bi.visit_dws where yearinfo='$TD_YEAR'; delete from scrm_bi.consult_dws where yearinfo='$TD_YEAR';"

jdbcUrl='jdbc:mysql://192.168.88.80:3306/scrm_bi?useUnicode=true&characterEncoding=utf-8'
username='root'
password='123456'

${SQOOP_HOME} export 
--connect ${jdbcUrl} 
--username ${username} 
--password ${password} 
--table visit_dws 
--hcatalog-database itcast_dws 
--hcatalog-table visit_dws 
--hcatalog-partition-keys yearinfo 
--hcatalog-partition-values $TD_YEAR 
-m 1

${SQOOP_HOME} export 
--connect ${jdbcUrl} 
--username ${username} 
--password ${password} 
--table consult_dws 
--hcatalog-database itcast_dws 
--hcatalog-table consult_dws 
--hcatalog-partition-keys yearinfo 
--hcatalog-partition-values $TD_YEAR 
-m 1