mysql基础操作

MYSQL的DDL语句:

（1）创建用户主题表

DROP TABLE IF EXISTS `ads_user_topic`;
CREATE TABLE `ads_user_topic`  (
  `dt` date NOT NULL,
  `day_users` bigint(255) NULL DEFAULT NULL,
  `day_new_users` bigint(255) NULL DEFAULT NULL,
  `day_new_payment_users` bigint(255) NULL DEFAULT NULL,
  `payment_users` bigint(255) NULL DEFAULT NULL,
  `users` bigint(255) NULL DEFAULT NULL,
  `day_users2users` double(255, 2) NULL DEFAULT NULL,
  `payment_users2users` double(255, 2) NULL DEFAULT NULL,
  `day_new_users2users` double(255, 2) NULL DEFAULT NULL,
  PRIMARY KEY (`dt`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

（2）创建地区主题表

DROP TABLE IF EXISTS `ads_area_topic`;
CREATE TABLE `ads_area_topic`  (
  `dt` date NOT NULL,
  `id` int(11) NULL DEFAULT NULL,
  `province_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `area_code` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `iso_code` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `region_id` int(11) NULL DEFAULT NULL,
  `region_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `login_day_count` bigint(255) NULL DEFAULT NULL,
  `order_day_count` bigint(255) NULL DEFAULT NULL,
  `order_day_amount` double(255, 2) NULL DEFAULT NULL,
  `payment_day_count` bigint(255) NULL DEFAULT NULL,
  `payment_day_amount` double(255, 2) NULL DEFAULT NULL,
  PRIMARY KEY (`dt`, `iso_code`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

执行SQL的Shell脚本

#!/bin/bash

hive=/opt/module/hive/bin/hive
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

sql="
set mapreduce.job.queuename=hive;
insert into table ${APP}.ads_uv_count 
select  
    '$do_date' dt,
    daycount.ct,
    wkcount.ct,
    mncount.ct,
    if(date_add(next_day('$do_date','MO'),-1)='$do_date','Y','N') ,
    if(last_day('$do_date')='$do_date','Y','N') 
from 
(
    select  
        '$do_date' dt,
        count(*) ct
    from ${APP}.dwt_uv_topic
    where login_date_last='$do_date'  
)daycount join 
( 
    select  
        '$do_date' dt,
        count (*) ct
    from ${APP}.dwt_uv_topic
    where login_date_last>=date_add(next_day('$do_date','MO'),-7) 
    and login_date_last<= date_add(next_day('$do_date','MO'),-1) 
) wkcount on daycount.dt=wkcount.dt
join 
( 
    select  
        '$do_date' dt,
        count (*) ct
    from ${APP}.dwt_uv_topic
    where date_format(login_date_last,'yyyy-MM')=date_format('$do_date','yyyy-MM')  
)mncount on daycount.dt=mncount.dt;

insert into table ${APP}.ads_new_mid_count 
select
    login_date_first,
    count(*)
from ${APP}.dwt_uv_topic
where login_date_first='$do_date'
group by login_date_first;

insert into table ${APP}.ads_silent_count
select
    '$do_date',
    count(*) 
from ${APP}.dwt_uv_topic
where login_date_first=login_date_last
and login_date_last<=date_add('$do_date',-7);


insert into table ${APP}.ads_back_count
select
'$do_date',
concat(date_add(next_day('$do_date','MO'),-7),'_', date_add(next_day('$do_date','MO'),-1)),
    count(*)
from
(
    select
        mid_id
    from ${APP}.dwt_uv_topic
    where login_date_last>=date_add(next_day('$do_date','MO'),-7) 
    and login_date_last<= date_add(next_day('$do_date','MO'),-1)
    and login_date_first<date_add(next_day('$do_date','MO'),-7)
)current_wk
left join
(
    select
        mid_id
    from ${APP}.dws_uv_detail_daycount
    where dt>=date_add(next_day('$do_date','MO'),-7*2) 
    and dt<= date_add(next_day('$do_date','MO'),-7-1) 
    group by mid_id
)last_wk
on current_wk.mid_id=last_wk.mid_id
where last_wk.mid_id is null;

insert into table ${APP}.ads_wastage_count
select
     '$do_date',
     count(*)
from 
(
    select 
        mid_id
    from ${APP}.dwt_uv_topic
    where login_date_last<=date_add('$do_date',-7)
    group by mid_id
)t1;

insert into table ${APP}.ads_user_retention_day_rate
select
    '$do_date',--统计日期
    date_add('$do_date',-1),--新增日期
    1,--留存天数
    sum(if(login_date_first=date_add('$do_date',-1) and login_date_last='$do_date',1,0)),--$do_date的1日留存数
    sum(if(login_date_first=date_add('$do_date',-1),1,0)),--$do_date新增
    sum(if(login_date_first=date_add('$do_date',-1) and login_date_last='$do_date',1,0))/sum(if(login_date_first=date_add('$do_date',-1),1,0))*100
from ${APP}.dwt_uv_topic

union all

select
    '$do_date',--统计日期
    date_add('$do_date',-2),--新增日期
    2,--留存天数
    sum(if(login_date_first=date_add('$do_date',-2) and login_date_last='$do_date',1,0)),--$do_date的2日留存数
    sum(if(login_date_first=date_add('$do_date',-2),1,0)),--$do_date新增
    sum(if(login_date_first=date_add('$do_date',-2) and login_date_last='$do_date',1,0))/sum(if(login_date_first=date_add('$do_date',-2),1,0))*100
from ${APP}.dwt_uv_topic

union all

select
    '$do_date',--统计日期
    date_add('$do_date',-3),--新增日期
    3,--留存天数
    sum(if(login_date_first=date_add('$do_date',-3) and login_date_last='$do_date',1,0)),--$do_date的3日留存数
    sum(if(login_date_first=date_add('$do_date',-3),1,0)),--$do_date新增
    sum(if(login_date_first=date_add('$do_date',-3) and login_date_last='$do_date',1,0))/sum(if(login_date_first=date_add('$do_date',-3),1,0))*100
from ${APP}.dwt_uv_topic;


insert into table ${APP}.ads_continuity_wk_count
select
    '$do_date',
    concat(date_add(next_day('$do_date','MO'),-7*3),'_',date_add(next_day('$do_date','MO'),-1)),
    count(*)
from
(
    select
        mid_id
    from
    (
        select
            mid_id
        from ${APP}.dws_uv_detail_daycount
        where dt>=date_add(next_day('$do_date','monday'),-7)
        and dt<=date_add(next_day('$do_date','monday'),-1)
        group by mid_id

        union all

        select
            mid_id
        from ${APP}.dws_uv_detail_daycount
        where dt>=date_add(next_day('$do_date','monday'),-7*2)
        and dt<=date_add(next_day('$do_date','monday'),-7-1)
        group by mid_id

        union all

        select
            mid_id
        from ${APP}.dws_uv_detail_daycount
        where dt>=date_add(next_day('$do_date','monday'),-7*3)
        and dt<=date_add(next_day('$do_date','monday'),-7*2-1)
        group by mid_id
    )t1
    group by mid_id
    having count(*)=3
)t2;


insert into table ${APP}.ads_continuity_uv_count
select
    '$do_date',
    concat(date_add('$do_date',-6),'_','$do_date'),
    count(*)
from
(
    select mid_id
    from
    (
        select mid_id      
        from
        (
            select 
                mid_id,
                date_sub(dt,rank) date_dif
            from
            (
                select 
                    mid_id,
                    dt,
                    rank() over(partition by mid_id order by dt) rank
                from ${APP}.dws_uv_detail_daycount
                where dt>=date_add('$do_date',-6) and dt<='$do_date'
            )t1
        )t2 
        group by mid_id,date_dif
        having count(*)>=3
    )t3 
    group by mid_id
)t4;


insert into table ${APP}.ads_user_topic
select
    '$do_date',
    sum(if(login_date_last='$do_date',1,0)),
    sum(if(login_date_first='$do_date',1,0)),
    sum(if(payment_date_first='$do_date',1,0)),
    sum(if(payment_count>0,1,0)),
    count(*),
    sum(if(login_date_last='$do_date',1,0))/count(*),
    sum(if(payment_count>0,1,0))/count(*),
    sum(if(login_date_first='$do_date',1,0))/sum(if(login_date_last='$do_date',1,0))
from ${APP}.dwt_user_topic;

with
tmp_uv as
(
    select
        '$do_date' dt,
        sum(if(array_contains(pages,'home'),1,0)) home_count,
        sum(if(array_contains(pages,'good_detail'),1,0)) good_detail_count
    from
    (
        select
            mid_id,
            collect_set(page_id) pages
        from ${APP}.dwd_page_log
        where dt='$do_date'
        and page_id in ('home','good_detail')
        group by mid_id
    )tmp
),
tmp_cop as
(
    select 
        '$do_date' dt,
        sum(if(cart_count>0,1,0)) cart_count,
        sum(if(order_count>0,1,0)) order_count,
        sum(if(payment_count>0,1,0)) payment_count
    from ${APP}.dws_user_action_daycount
    where dt='$do_date'
)
insert into table ${APP}.ads_user_action_convert_day
select
    tmp_uv.dt,
    tmp_uv.home_count,
    tmp_uv.good_detail_count,
    tmp_uv.good_detail_count/tmp_uv.home_count*100,
    tmp_cop.cart_count,
    tmp_cop.cart_count/tmp_uv.good_detail_count*100,
    tmp_cop.order_count,
    tmp_cop.order_count/tmp_cop.cart_count*100,
    tmp_cop.payment_count,
    tmp_cop.payment_count/tmp_cop.order_count*100
from tmp_uv
join tmp_cop
on tmp_uv.dt=tmp_cop.dt;

insert into table ${APP}.ads_product_info
select
    '$do_date' dt,
    sku_num,
    spu_num
from
(
    select
        '$do_date' dt,
        count(*) sku_num
    from
        ${APP}.dwt_sku_topic
) tmp_sku_num
join
(
    select
        '$do_date' dt,
        count(*) spu_num
    from
    (
        select
            spu_id
        from
            ${APP}.dwt_sku_topic
        group by
            spu_id
    ) tmp_spu_id
) tmp_spu_num
on
    tmp_sku_num.dt=tmp_spu_num.dt;


insert into table ${APP}.ads_product_sale_topN
select
    '$do_date' dt,
    sku_id,
    payment_amount
from
    ${APP}.dws_sku_action_daycount
where
    dt='$do_date'
order by payment_amount desc
limit 10;

insert into table ${APP}.ads_product_favor_topN
select
    '$do_date' dt,
    sku_id,
    favor_count
from
    ${APP}.dws_sku_action_daycount
where
    dt='$do_date'
order by favor_count desc
limit 10;

insert into table ${APP}.ads_product_cart_topN
select
    '$do_date' dt,
    sku_id,
    cart_count
from
    ${APP}.dws_sku_action_daycount
where
    dt='$do_date'
order by cart_count desc
limit 10;


insert into table ${APP}.ads_product_refund_topN
select
    '$do_date',
    sku_id,
    refund_last_30d_count/payment_last_30d_count*100 refund_ratio
from ${APP}.dwt_sku_topic
order by refund_ratio desc
limit 10;


insert into table ${APP}.ads_appraise_bad_topN
select
    '$do_date' dt,
    sku_id,
appraise_bad_count/(appraise_good_count+appraise_mid_count+appraise_bad_count+appraise_default_count) appraise_bad_ratio
from
    ${APP}.dws_sku_action_daycount
where
    dt='$do_date'
order by appraise_bad_ratio desc
limit 10;


insert into table ${APP}.ads_order_daycount
select
    '$do_date',
    sum(order_count),
    sum(order_amount),
    sum(if(order_count>0,1,0))
from ${APP}.dws_user_action_daycount
where dt='$do_date';


insert into table ${APP}.ads_payment_daycount
select
    tmp_payment.dt,
    tmp_payment.payment_count,
    tmp_payment.payment_amount,
    tmp_payment.payment_user_count,
    tmp_skucount.payment_sku_count,
    tmp_time.payment_avg_time
from
(
    select
        '$do_date' dt,
        sum(payment_count) payment_count,
        sum(payment_amount) payment_amount,
        sum(if(payment_count>0,1,0)) payment_user_count
    from ${APP}.dws_user_action_daycount
    where dt='$do_date'
)tmp_payment
join
(
    select
        '$do_date' dt,
        sum(if(payment_count>0,1,0)) payment_sku_count 
    from ${APP}.dws_sku_action_daycount
    where dt='$do_date'
)tmp_skucount on tmp_payment.dt=tmp_skucount.dt
join
(
    select
        '$do_date' dt,
        sum(unix_timestamp(payment_time)-unix_timestamp(create_time))/count(*)/60 payment_avg_time
    from ${APP}.dwd_fact_order_info
    where dt='$do_date'
    and payment_time is not null
)tmp_time on tmp_payment.dt=tmp_time.dt;


with 
tmp_order as
(
    select
        user_id,
        order_stats_struct.sku_id sku_id,
        order_stats_struct.order_count order_count
    from ${APP}.dws_user_action_daycount lateral view explode(order_detail_stats) tmp as order_stats_struct
    where date_format(dt,'yyyy-MM')=date_format('$do_date','yyyy-MM')
),
tmp_sku as
(
    select
        id,
        tm_id,
        category1_id,
        category1_name
    from ${APP}.dwd_dim_sku_info
    where dt='$do_date'
)
insert into table ${APP}.ads_sale_tm_category1_stat_mn
select
    tm_id,
    category1_id,
    category1_name,
    sum(if(order_count>=1,1,0)) buycount,
    sum(if(order_count>=2,1,0)) buyTwiceLast,
    sum(if(order_count>=2,1,0))/sum( if(order_count>=1,1,0)) buyTwiceLastRatio,
    sum(if(order_count>=3,1,0))  buy3timeLast  ,
    sum(if(order_count>=3,1,0))/sum( if(order_count>=1,1,0)) buy3timeLastRatio ,
    date_format('$do_date' ,'yyyy-MM') stat_mn,
    '$do_date' stat_date
from
(
    select 
        tmp_order.user_id,
        tmp_sku.category1_id,
        tmp_sku.category1_name,
        tmp_sku.tm_id,
        sum(order_count) order_count
    from tmp_order
    join tmp_sku
    on tmp_order.sku_id=tmp_sku.id
    group by tmp_order.user_id,tmp_sku.category1_id,tmp_sku.category1_name,tmp_sku.tm_id
)tmp
group by tm_id, category1_id, category1_name;


insert into table ${APP}.ads_area_topic
select
    '$do_date',
    id,
    province_name,
    area_code,
    iso_code,
    region_id,
    region_name,
    login_day_count,
    order_day_count,
    order_day_amount,
    payment_day_count,
    payment_day_amount
from ${APP}.dwt_area_topic;

"

$hive -e "$sql"

Sqoop导入(mysql到hdfs)脚本

#! /bin/bash

sqoop=/opt/module/sqoop/bin/sqoop

if [ -n "$2" ] ;then
    do_date=$2
else
    do_date=`date -d '-1 day' +%F`
fi

import_data(){
$sqoop import 
--connect jdbc:mysql://hadoop102:3306/gmall 
--username root 
--password 123456 
--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-3.1.3/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,
                              source_type,
                              source_id  
                            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,
                        source_type,
                        source_id
                      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

Sqoop导出(hdfs到mysql)脚本

#!/bin/bash

hive_db_name=gmall
mysql_db_name=gmall_report

export_data() {
/opt/module/sqoop/bin/sqoop export 
-Dmapreduce.job.queuename=hive 
--connect "jdbc:mysql://hadoop102:3306/${mysql_db_name}?useUnicode=true&characterEncoding=utf-8"  
--username root 
--password 000000 
--table $1 
--num-mappers 1 
--export-dir /warehouse/$hive_db_name/ads/$1 
--input-fields-terminated-by "t" 
--update-mode allowinsert 
--update-key $2 
--input-null-string '\N'    
--input-null-non-string '\N'
}

case $1 in
  "ads_uv_count")
     export_data "ads_uv_count" "dt"
;;
  "ads_user_action_convert_day") 
     export_data "ads_user_action_convert_day" "dt"
;;
  "ads_user_topic")
     export_data "ads_user_topic" "dt"
;;
  "ads_area_topic")
     export_data "ads_area_topic" "dt,iso_code"
;;
   "all")
     export_data "ads_user_topic" "dt"
     export_data "ads_area_topic" "dt,iso_code"
     #其余表省略未写
;;
esac

hive中创建表
 

（1）普通创建表
create table if not exists student(
id int, name string
)
row format delimited fields terminated by 't'
stored as textfile
location '/user/hive/warehouse/student';

（2）建表语句，创建外部表
创建部门表
create external table if not exists dept(
deptno int,
dname string,
loc int
)
row format delimited fields terminated by 't';
创建员工表
create external table if not exists emp(
empno int,
ename string,
job string,
mgr int,
hiredate string, 
sal double, 
comm double,
deptno int)
row format delimited fields terminated by 't';

向hive中加载数据
 

hive> load data [local] inpath '数据的path' [overwrite] into table student [partition (partcol1=val1,…)];
（1）load data:表示加载数据
（2）local:表示从本地加载数据到hive表；否则从HDFS加载数据到hive表
（3）inpath:表示加载数据的路径
（4）overwrite:表示覆盖表中已有数据，否则表示追加
（5）into table:表示加载到哪张表
（6）student:表示具体的表
（7）partition:表示上传到指定分区

加载HDFS上数据
hive (default)> load data inpath '/user/atguigu/hive/student.txt' into table default.student;

根据查询结果创建表（查询的结果会添加到新创建的表中）
create table if not exists student3
as select id, name from student;

最后

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