原始表(order_tbl),按dt分區,天天分區保存全量訂單sql
(20200321分區)ide
order_idspa |
addressorm |
trade_timeit |
dtio |
1table |
天津class |
20200320select |
20200321nio |
2 |
北京 |
20200320 |
20200321 |
3 |
北京 |
20200319 |
20200321 |
4 |
天津 |
20200319 |
20200321 |
5 |
北京 |
20200321 |
20200321 |
6 |
20200321 |
20200321 |
(20200320分區)
order_id |
address |
trade_time |
dt |
1 |
20200320 |
20200320 |
|
2 |
北京 |
20200320 |
20200320 |
3 |
北京 |
20200319 |
20200320 |
4 |
20200319 |
20200320 |
使用SQL實現,每日訂單量,當日未填地址訂單數,1往後未填地址數量,2往後未填地址數量,3往後未填地址數量
解釋: 【1往後未填地址數量】,指某日的訂單中,下一天未填地址訂單的量
例如:trade_time=20200320,未填地址訂單1個,【1往後未填地址數量】要統計分區dt=20200321下trade_time=20200320在的未填地址訂單0個
結果表
trade_time |
order_cnt |
no_address_cnt |
1_day_later |
2_day_later |
3_day_later |
4_day_later |
5_day_later |
20200323 |
300 |
50 |
0 |
0 |
0 |
0 |
0 |
20200322 |
400 |
80 |
50 |
0 |
0 |
0 |
0 |
20200321 |
333 |
55 |
41 |
32 |
0 |
0 |
0 |
…… |
|||||||
20200312 |
with order_tbl as ( -- 20200320分區 select 1 as order_id, '天津' as address, 20200319 as trade_time, 20200320 as dt union all select 2 as order_id, null as address, 20200319 as trade_time, 20200320 as dt union all select 3 as order_id, '北京' as address, 20200320 as trade_time, 20200320 as dt union all select 4 as order_id, '北京' as address, 20200320 as trade_time, 20200320 as dt union all select 5 as order_id, null as address, 20200320 as trade_time, 20200320 as dt union all select 6 as order_id, null as address, 20200320 as trade_time, 20200320 as dt union all select 7 as order_id, null as address, 20200320 as trade_time, 20200320 as dt union all -- 20200321分區 select 1 as order_id, '天津' as address, 20200319 as trade_time, 20200321 as dt union all select 2 as order_id, '天津' as address, 20200319 as trade_time, 20200321 as dt union all select 3 as order_id, '北京' as address, 20200320 as trade_time, 20200321 as dt union all select 4 as order_id, '北京' as address, 20200320 as trade_time, 20200321 as dt union all select 5 as order_id, '北京' as address, 20200320 as trade_time, 20200321 as dt union all select 6 as order_id, null as address, 20200320 as trade_time, 20200321 as dt union all select 7 as order_id, null as address, 20200320 as trade_time, 20200321 as dt union all select 8 as order_id, '北京' as address, 20200321 as trade_time, 20200321 as dt union all select 9 as order_id, null as address, 20200321 as trade_time, 20200321 as dt union all select 10 as order_id, null as address, 20200321 as trade_time, 20200321 as dt union all -- 20200322分區 select 1 as order_id, '天津' as address, 20200319 as trade_time, 20200322 as dt union all select 2 as order_id, '天津' as address, 20200319 as trade_time, 20200322 as dt union all select 3 as order_id, '北京' as address, 20200320 as trade_time, 20200322 as dt union all select 4 as order_id, '北京' as address, 20200320 as trade_time, 20200322 as dt union all select 5 as order_id, '北京' as address, 20200320 as trade_time, 20200322 as dt union all select 6 as order_id, '北京' as address, 20200320 as trade_time, 20200322 as dt union all select 7 as order_id, null as address, 20200320 as trade_time, 20200322 as dt union all select 8 as order_id, '北京' as address, 20200321 as trade_time, 20200322 as dt union all select 9 as order_id, null as address, 20200321 as trade_time, 20200322 as dt union all select 10 as order_id, null as address, 20200321 as trade_time, 20200322 as dt union all select 11 as order_id, '北京' as address, 20200322 as trade_time, 20200322 as dt union all select 12 as order_id, null as address, 20200322 as trade_time, 20200322 as dt union all select 13 as order_id, null as address, 20200322 as trade_time, 20200322 as dt ) select trade_time, order_cnt, 1_day_later, 2_day_later, 3_day_later from ( select trade_time, order_cnt, no_address_cnt, LEAD(no_address_cnt, 1, 0 ) over (partition by trade_time order by dt asc) as 1_day_later, LEAD(no_address_cnt, 2, 0 ) over (partition by trade_time order by dt asc) as 2_day_later, LEAD(no_address_cnt, 3, 0 ) over (partition by trade_time order by dt asc) as 3_day_later, row_number () over(partition by trade_time ORDER BY dt) as rn from ( select dt, trade_time, count(1) as order_cnt, sum(case when address is null then 1 else 0 end) as no_address_cnt from order_tbl group by dt, trade_time ) a ) b where rn = 1 order by trade_time desc