Hive資料去重舉例:
Hql代碼
INSERT overwrite TABLE store SELECT
t.p_key,
t.sort_word
FROM
(
SELECT
p_key,
sort_word,
row_number () over (
distribute BY p_key sort BY sort_word
) AS rn
FROM
store
) t
WHERE
t.rn = 1;
說明:
- p_key為去重所依據的key,sort_word表示多個p_key的排列順序,這個關鍵字将決定哪個p_key将留下。
- t 為子查詢的别名,Hive需要在每個子查詢後面加别名
- t.rn=1表示重複的資料隻保留第一個。
- distribute by 關鍵字指定分發的key,同一個key将分發到同一個reducer
- sort by 是單機範圍内排序,是以配合distribute by 就可以對某一個關鍵字排序
應用舉例:
表一資料:
201608030239462016-08-03 08:45:08.0 2000.040000.0 毛湖25456 5的 2016-08-03 00:00:00.0 20000.020160807
20160803024041 2016-08-03 10:45:13.03300.0 66000.0甯波 316772站 2016-08-05 08:00:00.0 趙2 17233123150 20540.0 20160807
20160803024001 2016-08-03 10:45:10.03300.0 66000.0甯波 316772站 2016-08-05 16:00:00.0 趙2 17233123150 20470.0 20160807
20160803024008 2016-08-03 10:45:11.03300.0 66000.0甯波 316772站 2016-08-06 16:00:00.0 20060.0 20160807
20160803024007 2016-08-03 10:45:11.03300.0 66000.0甯波 316772站 2016-08-06 08:00:00.0 趙2 17233123150 20280.0 20160807
表二資料:
201608030239462016-08-03 08:45:08.0 2000.040000.0 毛湖 25456 5的2016-08-03 00:00:00.0 20000.020160807
20160803023987 2016-08-03 10:45:09.03300.0 66000.0甯波 316772站 2016-08-07 08:00:00.0 20460.0 20160807
20160803024041 2016-08-03 10:45:13.03300.0 66000.0甯波 316772站 2016-08-05 08:00:00.0 趙2 17233123150 20500.0 20160807
20160803024001 2016-08-03 10:45:10.03300.0 66000.0甯波 316772站 2016-08-05 16:00:00.0 趙2 17233123150 20580.0 20160807
20160803024008 2016-08-03 10:45:11.03300.0 66000.0甯波 316772站 2016-08-06 16:00:00.0 20060.0 20160807
20160803024007 2016-08-03 10:45:11.03300.0 66000.0甯波 316772站 2016-08-06 08:00:00.0 趙2 17233123150 20440.0 20160807
表一和表二合并(union all)後的資料:
201608030239462016-08-03 08:45:08.0 2000.040000.0 毛湖25456 5的 2016-08-03 00:00:00.0 20000.020160807
20160803024041 2016-08-03 10:45:13.03300.0 66000.0甯波 316772站 2016-08-05 08:00:00.0趙2 17233123150 20540.0 20160807
20160803024001 2016-08-03 10:45:10.03300.0 66000.0甯波 316772站 2016-08-05 16:00:00.0趙2 17233123150 20470.0 20160807
20160803024008 2016-08-03 10:45:11.03300.0 66000.0甯波 316772站 2016-08-06 16:00:00.0 20060.0 20160807
20160803024007 2016-08-03 10:45:11.03300.0 66000.0甯波 316772站 2016-08-06 08:00:00.0趙2 17233123150 20280.0 20160807
201608030239462016-08-03 08:45:08.0 2000.040000.0 毛湖 25456 5的2016-08-03 00:00:00.0 20000.020160807
20160803023987 2016-08-03 10:45:09.03300.0 66000.0甯波 316772站 2016-08-07 08:00:00.0 20460.0 20160807
20160803024041 2016-08-03 10:45:13.03300.0 66000.0甯波 316772站 2016-08-05 08:00:00.0趙2 17233123150 20500.0 20160807
20160803024001 2016-08-03 10:45:10.03300.0 66000.0甯波 316772站 2016-08-05 16:00:00.0趙2 17233123150 20580.0 20160807
20160803024008 2016-08-03 10:45:11.03300.0 66000.0甯波 316772站 2016-08-06 16:00:00.0 20060.0 20160807
20160803024007 2016-08-03 10:45:11.03300.0 66000.0甯波 316772站 2016-08-06 08:00:00.0趙2 17233123150 20440.0 20160807
發現有重複第一列有資料,實作去重的語句:
select
t.order_num,
t.accounts_time,
t.turnover_price,
t.totals,
t.source_name,
t.receipt_addr_id,
t.station_name,
t.is_arrive,
t.driver_name,
t.driver_phone,
t.truck_tou_no,
t.truck_pai_no,
t.buy_weigth_num,
t.times
from
(
select
order_num,
accounts_time,
turnover_price,
totals,
source_name,
receipt_addr_id,
station_name,
is_arrive,
driver_name,
driver_phone,
truck_tou_no,
truck_pai_no,
buy_weigth_num,
times,
row_number() over(distribute by order_num sort by buy_weigth_num) as rn
from
a_jj_aks_sm_m_h
)
t
where
t.rn=1
;
注意:此處舉例是去除了單個字段(order_num )重複的資料,
如果想去除所有字段重複的資料,那麼需要如下編寫
select
t.order_num,
t.accounts_time,
t.turnover_price,
t.totals,
t.source_name,
t.receipt_addr_id,
t.station_name,
t.is_arrive,
t.driver_name,
t.driver_phone,
t.truck_tou_no,
t.truck_pai_no,
t.buy_weigth_num,
t.times
from
(
select
order_num,
accounts_time,
turnover_price,
totals,
source_name,
receipt_addr_id,
station_name,
is_arrive,
driver_name,
driver_phone,
truck_tou_no,
truck_pai_no,
buy_weigth_num,
times,
row_number() over(distribute by order_num,accounts_time,turnover_price,totals,source_name,receipt_addr_id,station_name,is_arrive,driver_name,driver_phone,truck_tou_no,truck_pai_no,buy_weigth_num,times) as rn
from
a_jj_aks_sm_m_h
)
t
where
t.rn=1
;
/**注意:
*“distribute by”後面需要添加所有字段
* order_num,accounts_time,turnover_price,totals,source_name,receipt_addr_id,station_name,is_arrive,driver_name,driver_phone,truck_tou_no,truck_pai_no,buy_weigth_num,times
*/
以上内容已經測試通過,可以根據實際更改,如有疑問,請留言!歡迎各位批評指教!