hive创建表语句报错 hive建表语句comment

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技术笔耕者 2023-07-12 22:02:47

文章标签 hive创建表语句报错 hive 数据 hadoop 建表 文章分类 Hive 大数据

数仓-DWD层

1）对用户行为数据解析。

2）对业务数据采用维度模型重新建模。

订单明细事实表（事务型事实表）

建表语句：

DROP TABLE IF EXISTS dwd_order_detail;
CREATE EXTERNAL TABLE dwd_order_detail (
    `id` STRING COMMENT '订单编号',
    `order_id` STRING COMMENT '订单号',
    `user_id` STRING COMMENT '用户id',
    `sku_id` STRING COMMENT 'sku商品id',
    `province_id` STRING COMMENT '省份ID',
    `activity_id` STRING COMMENT '活动ID',
    `activity_rule_id` STRING COMMENT '活动规则ID',
    `coupon_id` STRING COMMENT '优惠券ID',
    `create_time` STRING COMMENT '创建时间',
    `source_type` STRING COMMENT '来源类型',
    `source_id` STRING COMMENT '来源编号',
    `sku_num` BIGINT COMMENT '商品数量',
    `original_amount` DECIMAL(16,2) COMMENT '原始价格',
    `split_activity_amount` DECIMAL(16,2) COMMENT '活动优惠分摊',
    `split_coupon_amount` DECIMAL(16,2) COMMENT '优惠券优惠分摊',
    `split_final_amount` DECIMAL(16,2) COMMENT '最终价格分摊'
) COMMENT '订单明细事实表表'
PARTITIONED BY (`dt` STRING)
STORED AS PARQUET
LOCATION '/warehouse/gmall/dwd/dwd_order_detail/'
TBLPROPERTIES ("parquet.compression"="lzo");

每日装载：

insert overwrite table dwd_order_detail partition(dt='2021-09-16')
select
    od.id,
    od.order_id,
    oi.user_id,
    od.sku_id,
    oi.province_id,
    oda.activity_id,
    oda.activity_rule_id,
    odc.coupon_id,
    od.create_time,
    od.source_type,
    od.source_id,
    od.sku_num,
    od.order_price*od.sku_num,
    od.split_activity_amount,
    od.split_coupon_amount,
    od.split_final_amount
from
(
    select
        *
    from ods_order_detail
    where dt='2021-09-16'
)od
left join
(
    select
        id,
        user_id,
        province_id
    from ods_order_info
    where dt='2021-09-16'
)oi
on od.order_id=oi.id
left join
(
    select
        order_detail_id,
        activity_id,
        activity_rule_id
    from ods_order_detail_activity
    where dt='2021-09-16'
)oda
on od.id=oda.order_detail_id
left join
(
    select
        order_detail_id,
        coupon_id
    from ods_order_detail_coupon
    where dt='2021-09-16'
)odc
on od.id=odc.order_detail_id;

支付事实表（累积型快照事实表）

建表语句：

DROP TABLE IF EXISTS dwd_payment_info;
CREATE EXTERNAL TABLE dwd_payment_info (
    `id` STRING COMMENT '编号',
    `order_id` STRING COMMENT '订单编号',
    `user_id` STRING COMMENT '用户编号',
    `province_id` STRING COMMENT '地区ID',
    `trade_no` STRING COMMENT '交易编号',
    `out_trade_no` STRING COMMENT '对外交易编号',
    `payment_type` STRING COMMENT '支付类型',
    `payment_amount` DECIMAL(16,2) COMMENT '支付金额',
    `payment_status` STRING COMMENT '支付状态',
    `create_time` STRING COMMENT '创建时间',--调用第三方支付接口的时间
    `callback_time` STRING COMMENT '完成时间'--支付完成时间，即支付成功回调时间
) COMMENT '支付事实表表'
PARTITIONED BY (`dt` STRING)
STORED AS PARQUET
LOCATION '/warehouse/gmall/dwd/dwd_payment_info/'
TBLPROPERTIES ("parquet.compression"="lzo");

每日装载：

insert overwrite table dwd_payment_info partition(dt)
select
    nvl(new.id,old.id),
    nvl(new.order_id,old.order_id),
    nvl(new.user_id,old.user_id),
    nvl(new.province_id,old.province_id),
    nvl(new.trade_no,old.trade_no),
    nvl(new.out_trade_no,old.out_trade_no),
    nvl(new.payment_type,old.payment_type),
    nvl(new.payment_amount,old.payment_amount),
    nvl(new.payment_status,old.payment_status),
    nvl(new.create_time,old.create_time),
    nvl(new.callback_time,old.callback_time),
    nvl(date_format(nvl(new.callback_time,old.callback_time),'yyyy-MM-dd'),'9999-99-99')
from
(
    select id,
       order_id,
       user_id,
       province_id,
       trade_no,
       out_trade_no,
       payment_type,
       payment_amount,
       payment_status,
       create_time,
       callback_time
    from dwd_payment_info
    where dt = '9999-99-99'
)old
full outer join
(
    select
        pi.id,
        pi.out_trade_no,
        pi.order_id,
        pi.user_id,
        oi.province_id,
        pi.payment_type,
        pi.trade_no,
        pi.payment_amount,
        pi.payment_status,
        pi.create_time,
        pi.callback_time
    from
    (
        select * from ods_payment_info where dt='2021-09-16'
    )pi
    left join
    (
        select id,province_id from ods_order_info where dt='2021-09-16'
    )oi
    on pi.order_id=oi.id
)new
on old.id=new.id;

订单事实表（累积型快照事实表）

建表语句：

DROP TABLE IF EXISTS dwd_order_info;
CREATE EXTERNAL TABLE dwd_order_info(
    `id` STRING COMMENT '编号',
    `order_status` STRING COMMENT '订单状态',
    `user_id` STRING COMMENT '用户ID',
    `province_id` STRING COMMENT '地区ID',
    `payment_way` STRING COMMENT '支付方式',
    `delivery_address` STRING COMMENT '邮寄地址',
    `out_trade_no` STRING COMMENT '对外交易编号',
    `tracking_no` STRING COMMENT '物流单号',
    `create_time` STRING COMMENT '创建时间(未支付状态)',
    `payment_time` STRING COMMENT '支付时间(已支付状态)',
    `cancel_time` STRING COMMENT '取消时间(已取消状态)',
    `finish_time` STRING COMMENT '完成时间(已完成状态)',
    `refund_time` STRING COMMENT '退款时间(退款中状态)',
    `refund_finish_time` STRING COMMENT '退款完成时间(退款完成状态)',
    `expire_time` STRING COMMENT '过期时间',
    `feight_fee` DECIMAL(16,2) COMMENT '运费',
    `feight_fee_reduce` DECIMAL(16,2) COMMENT '运费减免',
    `activity_reduce_amount` DECIMAL(16,2) COMMENT '活动减免',
    `coupon_reduce_amount` DECIMAL(16,2) COMMENT '优惠券减免',
    `original_amount` DECIMAL(16,2) COMMENT '订单原始价格',
    `final_amount` DECIMAL(16,2) COMMENT '订单最终价格'
) COMMENT '订单事实表'
PARTITIONED BY (`dt` STRING)
STORED AS PARQUET
LOCATION '/warehouse/gmall/dwd/dwd_order_info/'
TBLPROPERTIES ("parquet.compression"="lzo");

每日装载：

insert overwrite table dwd_order_info partition(dt)
select
    nvl(new.id,old.id),
    nvl(new.order_status,old.order_status),
    nvl(new.user_id,old.user_id),
    nvl(new.province_id,old.province_id),
    nvl(new.payment_way,old.payment_way),
    nvl(new.delivery_address,old.delivery_address),
    nvl(new.out_trade_no,old.out_trade_no),
    nvl(new.tracking_no,old.tracking_no),
    nvl(new.create_time,old.create_time),
    nvl(new.payment_time,old.payment_time),
    nvl(new.cancel_time,old.cancel_time),
    nvl(new.finish_time,old.finish_time),
    nvl(new.refund_time,old.refund_time),
    nvl(new.refund_finish_time,old.refund_finish_time),
    nvl(new.expire_time,old.expire_time),
    nvl(new.feight_fee,old.feight_fee),
    nvl(new.feight_fee_reduce,old.feight_fee_reduce),
    nvl(new.activity_reduce_amount,old.activity_reduce_amount),
    nvl(new.coupon_reduce_amount,old.coupon_reduce_amount),
    nvl(new.original_amount,old.original_amount),
    nvl(new.final_amount,old.final_amount),
    case
        when new.cancel_time is not null then date_format(new.cancel_time,'yyyy-MM-dd')
        when new.finish_time is not null and date_add(date_format(new.finish_time,'yyyy-MM-dd'),7)='2020-06-15' and new.refund_time is null then '2020-06-15'
        when new.refund_finish_time is not null then date_format(new.refund_finish_time,'yyyy-MM-dd')
        when new.expire_time is not null then date_format(new.expire_time,'yyyy-MM-dd')
        else '9999-99-99'
    end
from
(
    select
        id,
        order_status,
        user_id,
        province_id,
        payment_way,
        delivery_address,
        out_trade_no,
        tracking_no,
        create_time,
        payment_time,
        cancel_time,
        finish_time,
        refund_time,
        refund_finish_time,
        expire_time,
        feight_fee,
        feight_fee_reduce,
        activity_reduce_amount,
        coupon_reduce_amount,
        original_amount,
        final_amount
    from dwd_order_info
    where dt='9999-99-99'
)old
full outer join
(
    select
        oi.id,
        oi.order_status,
        oi.user_id,
        oi.province_id,
        oi.payment_way,
        oi.delivery_address,
        oi.out_trade_no,
        oi.tracking_no,
        oi.create_time,
        times.ts['1002'] payment_time,
        times.ts['1003'] cancel_time,
        times.ts['1004'] finish_time,
        times.ts['1005'] refund_time,
        times.ts['1006'] refund_finish_time,
        oi.expire_time,
        feight_fee,
        feight_fee_reduce,
        activity_reduce_amount,
        coupon_reduce_amount,
        original_amount,
        final_amount
    from
    (
        select
            *
        from ods_order_info
        where dt='2021-09-16'
    )oi
    left join
    (
        select
            order_id,
            str_to_map(concat_ws(',',collect_set(concat(order_status,'=',operate_time))),',','=') ts
        from ods_order_status_log
        where dt='2021-09-16'
        group by order_id
    )times
    on oi.id=times.order_id
)new
on old.id=new.id;

DWD层业务数据每日装载脚本

编写脚本及执行

（1）在/home/muzili/bin目录下创建脚本ods_to_dwd_db.sh

[muzili@hadoop102 bin]$ vim ods_to_dwd_db.sh

在脚本中填写如下内容:

#!/bin/bash

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


# 假设某累积型快照事实表，某天所有的业务记录全部完成，则会导致9999-99-99分区的数据未被覆盖，从而导致数据重复，该函数根据9999-99-99分区的数据的末次修改时间判断其是否被覆盖了，如果未被覆盖，就手动清理
clear_data(){
    current_date=`date +%F`
    current_date_timestamp=`date -d "$current_date" +%s`

    last_modified_date=`hadoop fs -ls /warehouse/gmall/dwd/$1 | grep '9999-99-99' | awk '{print $6}'`
    last_modified_date_timestamp=`date -d "$last_modified_date" +%s`

    if [[ $last_modified_date_timestamp -lt $current_date_timestamp ]]; then
        echo "clear table $1 partition(dt=9999-99-99)"
        hadoop fs -rm -r -f /warehouse/gmall/dwd/$1/dt=9999-99-99/*
    fi
}

dwd_order_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table ${APP}.dwd_order_info partition(dt)
select
    nvl(new.id,old.id),
    nvl(new.order_status,old.order_status),
    nvl(new.user_id,old.user_id),
    nvl(new.province_id,old.province_id),
    nvl(new.payment_way,old.payment_way),
    nvl(new.delivery_address,old.delivery_address),
    nvl(new.out_trade_no,old.out_trade_no),
    nvl(new.tracking_no,old.tracking_no),
    nvl(new.create_time,old.create_time),
    nvl(new.payment_time,old.payment_time),
    nvl(new.cancel_time,old.cancel_time),
    nvl(new.finish_time,old.finish_time),
    nvl(new.refund_time,old.refund_time),
    nvl(new.refund_finish_time,old.refund_finish_time),
    nvl(new.expire_time,old.expire_time),
    nvl(new.feight_fee,old.feight_fee),
    nvl(new.feight_fee_reduce,old.feight_fee_reduce),
    nvl(new.activity_reduce_amount,old.activity_reduce_amount),
    nvl(new.coupon_reduce_amount,old.coupon_reduce_amount),
    nvl(new.original_amount,old.original_amount),
    nvl(new.final_amount,old.final_amount),
    case
        when new.cancel_time is not null then date_format(new.cancel_time,'yyyy-MM-dd')
        when new.finish_time is not null and date_add(date_format(new.finish_time,'yyyy-MM-dd'),7)='$do_date' and new.refund_time is null then '$do_date'
        when new.refund_finish_time is not null then date_format(new.refund_finish_time,'yyyy-MM-dd')
        when new.expire_time is not null then date_format(new.expire_time,'yyyy-MM-dd')
        else '9999-99-99'
    end
from
(
    select
        id,
        order_status,
        user_id,
        province_id,
        payment_way,
        delivery_address,
        out_trade_no,
        tracking_no,
        create_time,
        payment_time,
        cancel_time,
        finish_time,
        refund_time,
        refund_finish_time,
        expire_time,
        feight_fee,
        feight_fee_reduce,
        activity_reduce_amount,
        coupon_reduce_amount,
        original_amount,
        final_amount
    from ${APP}.dwd_order_info
    where dt='9999-99-99'
)old
full outer join
(
    select
        oi.id,
        oi.order_status,
        oi.user_id,
        oi.province_id,
        oi.payment_way,
        oi.delivery_address,
        oi.out_trade_no,
        oi.tracking_no,
        oi.create_time,
        times.ts['1002'] payment_time,
        times.ts['1003'] cancel_time,
        times.ts['1004'] finish_time,
        times.ts['1005'] refund_time,
        times.ts['1006'] refund_finish_time,
        oi.expire_time,
        feight_fee,
        feight_fee_reduce,
        activity_reduce_amount,
        coupon_reduce_amount,
        original_amount,
        final_amount
    from
    (
        select
            *
        from ${APP}.ods_order_info
        where dt='$do_date'
    )oi
    left join
    (
        select
            order_id,
            str_to_map(concat_ws(',',collect_set(concat(order_status,'=',operate_time))),',','=') ts
        from ${APP}.ods_order_status_log
        where dt='$do_date'
        group by order_id
    )times
    on oi.id=times.order_id
)new
on old.id=new.id;"

dwd_order_detail="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_order_detail partition(dt='$do_date')
select
    od.id,
    od.order_id,
    oi.user_id,
    od.sku_id,
    oi.province_id,
    oda.activity_id,
    oda.activity_rule_id,
    odc.coupon_id,
    od.create_time,
    od.source_type,
    od.source_id,
    od.sku_num,
    od.order_price*od.sku_num,
    od.split_activity_amount,
    od.split_coupon_amount,
    od.split_final_amount
from
(
    select
        *
    from ${APP}.ods_order_detail
    where dt='$do_date'
)od
left join
(
    select
        id,
        user_id,
        province_id
    from ${APP}.ods_order_info
    where dt='$do_date'
)oi
on od.order_id=oi.id
left join
(
    select
        order_detail_id,
        activity_id,
        activity_rule_id
    from ${APP}.ods_order_detail_activity
    where dt='$do_date'
)oda
on od.id=oda.order_detail_id
left join
(
    select
        order_detail_id,
        coupon_id
    from ${APP}.ods_order_detail_coupon
    where dt='$do_date'
)odc
on od.id=odc.order_detail_id;"


dwd_payment_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table ${APP}.dwd_payment_info partition(dt)
select
    nvl(new.id,old.id),
    nvl(new.order_id,old.order_id),
    nvl(new.user_id,old.user_id),
    nvl(new.province_id,old.province_id),
    nvl(new.trade_no,old.trade_no),
    nvl(new.out_trade_no,old.out_trade_no),
    nvl(new.payment_type,old.payment_type),
    nvl(new.payment_amount,old.payment_amount),
    nvl(new.payment_status,old.payment_status),
    nvl(new.create_time,old.create_time),
    nvl(new.callback_time,old.callback_time),
    nvl(date_format(nvl(new.callback_time,old.callback_time),'yyyy-MM-dd'),'9999-99-99')
from
(
    select id,
       order_id,
       user_id,
       province_id,
       trade_no,
       out_trade_no,
       payment_type,
       payment_amount,
       payment_status,
       create_time,
       callback_time
    from ${APP}.dwd_payment_info
    where dt = '9999-99-99'
)old
full outer join
(
    select
        pi.id,
        pi.out_trade_no,
        pi.order_id,
        pi.user_id,
        oi.province_id,
        pi.payment_type,
        pi.trade_no,
        pi.payment_amount,
        pi.payment_status,
        pi.create_time,
        pi.callback_time
    from
    (
        select * from ${APP}.ods_payment_info where dt='$do_date'
    )pi
    left join
    (
        select id,province_id from ${APP}.ods_order_info where dt='$do_date'
    )oi
    on pi.order_id=oi.id
)new
on old.id=new.id;"

dwd_cart_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_cart_info partition(dt='$do_date')
select
    id,
    user_id,
    sku_id,
    source_type,
    source_id,
    cart_price,
    is_ordered,
    create_time,
    operate_time,
    order_time,
    sku_num
from ${APP}.ods_cart_info
where dt='$do_date';"


dwd_comment_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_comment_info partition(dt='$do_date')
select
    id,
    user_id,
    sku_id,
    spu_id,
    order_id,
    appraise,
    create_time
from ${APP}.ods_comment_info where dt='$do_date';"


dwd_favor_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_favor_info partition(dt='$do_date')
select
    id,
    user_id,
    sku_id,
    spu_id,
    is_cancel,
    create_time,
    cancel_time
from ${APP}.ods_favor_info
where dt='$do_date';"


dwd_coupon_use="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table ${APP}.dwd_coupon_use partition(dt)
select
    nvl(new.id,old.id),
    nvl(new.coupon_id,old.coupon_id),
    nvl(new.user_id,old.user_id),
    nvl(new.order_id,old.order_id),
    nvl(new.coupon_status,old.coupon_status),
    nvl(new.get_time,old.get_time),
    nvl(new.using_time,old.using_time),
    nvl(new.used_time,old.used_time),
    nvl(new.expire_time,old.expire_time),
    coalesce(date_format(nvl(new.used_time,old.used_time),'yyyy-MM-dd'),date_format(nvl(new.expire_time,old.expire_time),'yyyy-MM-dd'),'9999-99-99')
from
(
    select
        id,
        coupon_id,
        user_id,
        order_id,
        coupon_status,
        get_time,
        using_time,
        used_time,
        expire_time
    from ${APP}.dwd_coupon_use
    where dt='9999-99-99'
)old
full outer join
(
    select
        id,
        coupon_id,
        user_id,
        order_id,
        coupon_status,
        get_time,
        using_time,
        used_time,
        expire_time
    from ${APP}.ods_coupon_use
    where dt='$do_date'
)new
on old.id=new.id;"

dwd_order_refund_info="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
insert overwrite table ${APP}.dwd_order_refund_info partition(dt='$do_date')
select
    ri.id,
    ri.user_id,
    ri.order_id,
    ri.sku_id,
    oi.province_id,
    ri.refund_type,
    ri.refund_num,
    ri.refund_amount,
    ri.refund_reason_type,
    ri.create_time
from
(
    select * from ${APP}.ods_order_refund_info where dt='$do_date'
)ri
left join
(
    select id,province_id from ${APP}.ods_order_info where dt='$do_date'
)oi
on ri.order_id=oi.id;"


dwd_refund_payment="
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table ${APP}.dwd_refund_payment partition(dt)
select
    nvl(new.id,old.id),
    nvl(new.user_id,old.user_id),
    nvl(new.order_id,old.order_id),
    nvl(new.sku_id,old.sku_id),
    nvl(new.province_id,old.province_id),
    nvl(new.trade_no,old.trade_no),
    nvl(new.out_trade_no,old.out_trade_no),
    nvl(new.payment_type,old.payment_type),
    nvl(new.refund_amount,old.refund_amount),
    nvl(new.refund_status,old.refund_status),
    nvl(new.create_time,old.create_time),
    nvl(new.callback_time,old.callback_time),
    nvl(date_format(nvl(new.callback_time,old.callback_time),'yyyy-MM-dd'),'9999-99-99')
from
(
    select
        id,
        user_id,
        order_id,
        sku_id,
        province_id,
        trade_no,
        out_trade_no,
        payment_type,
        refund_amount,
        refund_status,
        create_time,
        callback_time
    from ${APP}.dwd_refund_payment
    where dt='9999-99-99'
)old
full outer join
(
    select
        rp.id,
        user_id,
        order_id,
        sku_id,
        province_id,
        trade_no,
        out_trade_no,
        payment_type,
        refund_amount,
        refund_status,
        create_time,
        callback_time
    from
    (
        select
            id,
            out_trade_no,
            order_id,
            sku_id,
            payment_type,
            trade_no,
            refund_amount,
            refund_status,
            create_time,
            callback_time
        from ${APP}.ods_refund_payment
        where dt='$do_date'
    )rp
    left join
    (
        select
            id,
            user_id,
            province_id
        from ${APP}.ods_order_info
        where dt='$do_date'
    )oi
    on rp.order_id=oi.id
)new
on old.id=new.id;"

case $1 in
    dwd_order_info )
        hive -e "$dwd_order_info"
        clear_data dwd_order_info
    ;;
    dwd_order_detail )
        hive -e "$dwd_order_detail"
    ;;
    dwd_payment_info )
        hive -e "$dwd_payment_info"
        clear_data dwd_payment_info
    ;;
    dwd_cart_info )
        hive -e "$dwd_cart_info"
    ;;
    dwd_comment_info )
        hive -e "$dwd_comment_info"
    ;;
    dwd_favor_info )
        hive -e "$dwd_favor_info"
    ;;
    dwd_coupon_use )
        hive -e "$dwd_coupon_use"
        clear_data dwd_coupon_use
    ;;
    dwd_order_refund_info )
        hive -e "$dwd_order_refund_info"
    ;;
    dwd_refund_payment )
        hive -e "$dwd_refund_payment"
        clear_data dwd_refund_payment
    ;;
    all )
        hive -e "$dwd_order_info$dwd_order_detail$dwd_payment_info$dwd_cart_info$dwd_comment_info$dwd_favor_info$dwd_coupon_use$dwd_order_refund_info$dwd_refund_payment"
        clear_data dwd_order_info
        clear_data dwd_payment_info
        clear_data dwd_coupon_use
        clear_data dwd_refund_payment
    ;;
esac

（2）增加脚本执行权限

[muzili@hadoop102 bin]$ chmod 777 ods_to_dwd_db.sh

（3）执行脚本

[muzili@hadoop102 bin]$ ods_to_dwd_db.sh all 2021-09-16

（4）查看数据是否导入成功

附加：

--ap_raw_detail

create table if not exists dwd.ap_raw_detail(
serverreceivetimestamp bigint comment '数据接收时的时间戳',
gbno string comment '国标码',
sn string comment '设备sn',
deveice_mac string comment '设备MAC',
timestamp bigint,
mac string comment '采集到的mac',
channel bigint,
signal bigint
) comment 'AP数据(真实MAC)'
partitioned by(
filedate string comment '文件所属日期'
) stored as parquet;


--查询
select serverreceivetimestamp,gbno,sn,deveice_mac,
mac.timestamp,mac.mac,mac.channel,mac.signal
from ods.ap_raw lateral view explode(macs) tmp as mac
where filedate='20210905' limit 10;


--导入数据
insert overwrite table dwd.ap_raw_detail PARTITION (filedate='20210905')
select serverreceivetimestamp,gbno,sn,deveice_mac,
mac_info.timestamp,mac_info.mac,mac_info.channel,mac_info.signal
from ods.ap_raw lateral view explode(macs) tmp_table as mac_info
where filedate='20210905';

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