如何使用窗口函数`sum(DISTINCT <column>)OVER()`? [英] How to `sum( DISTINCT &lt;column&gt; ) OVER ()` using window function?

问题描述

我有下一个数据:

这里我已经计算了 conf_id 的总数.但也要计算整个分区的总数.例如:
按协议计算每个订单的总 suma(不是订单中的货物，四舍五入略有不同)

Here I already calculated total for conf_id. But want also calculate total for whole partition. eg:
Calculate total suma by agreement for each its order (not goods at order which are with slightly different rounding)

如何求和 737.38 和 1238.3?例如.组中只取一个号码

How to sum 737.38 and 1238.3? eg. take only one number among group

(我不能求和(item_suma)，因为它会返回1975.67.注意将conf_suma作为中间步骤)

(I can not sum( item_suma ), because it will return 1975.67. Notice round for conf_suma as intermediate step)

UPD
完整查询.在这里，我想为每个组计算四舍五入的 suma.然后我需要计算这些组的总 suma

UPD
Full query. Here I want to calculate rounded suma for each group. Then I need to calculate total suma for those groups

SELECT app_period( '2021-02-01', '2021-03-01' );


WITH
target_date AS ( SELECT '2021-02-01'::timestamptz ),
target_order as (
  SELECT
    tstzrange( '2021-01-01', '2021-02-01') as bill_range,
    o.*
  FROM ( SELECT * FROM "order_bt" WHERE sys_period @> sys_time() ) o
  WHERE FALSE
    OR o.agreement_id = 3385 and o.period_id = 10
),
USAGE AS ( SELECT
  ocd.*,


  o.agreement_id                  as agreement_id,
  o.id                            AS order_id,
  
  (dense_rank() over (PARTITION BY o.agreement_id       ORDER BY o.id                     )) as zzzz_id,
  (dense_rank() over (PARTITION BY o.agreement_id, o.id ORDER BY (ocd.ic).consumed_period )) as conf_id,

  
   sum( ocd.item_suma     ) OVER( PARTITION BY (ocd.o).agreement_id                 ) AS agreement_suma2,

 
  (sum( ocd.item_suma )  OVER( PARTITION BY (ocd.o).agreement_id, (ocd.o).id, (ocd.ic).consumed_period )) AS x_suma,
  (sum( ocd.item_cost )  OVER( PARTITION BY (ocd.o).agreement_id, (ocd.o).id, (ocd.ic).consumed_period )) AS x_cost,
  (sum( ocd.item_suma )  OVER( PARTITION BY (ocd.o).agreement_id, (ocd.o).id, (ocd.ic).consumed_period ))::numeric( 10, 2) AS conf_suma,
  (sum( ocd.item_cost )  OVER( PARTITION BY (ocd.o).agreement_id, (ocd.o).id, (ocd.ic).consumed_period ))::numeric( 10, 2) AS conf_cost,
  max((ocd.ic).consumed) OVER( PARTITION BY (ocd.o).agreement_id, (ocd.o).id, (ocd.ic).consumed_period )                   AS consumed,
  (sum( ocd.item_suma )  OVER( PARTITION BY (ocd.o).agreement_id, (ocd.o).id                           )) AS order_suma2
FROM target_order o
LEFT JOIN order_cost_details( o.bill_range ) ocd
  ON (ocd.o).id = o.id  AND  (ocd.ic).consumed_period && o.app_period
)

SELECT 
  *,
  (conf_suma/6) ::numeric( 10, 2 ) as group_nds,
  (SELECT sum(x) from (SELECT  sum( DISTINCT conf_suma )                       AS x FROM usage sub_u WHERE sub_u.agreement_id = usage.agreement_id GROUP BY agreement_id, order_id) t) as total_suma,
  (SELECT sum(x) from (SELECT (sum( DISTINCT conf_suma ) /6)::numeric( 10, 2 ) AS x FROM usage sub_u WHERE sub_u.agreement_id = usage.agreement_id GROUP BY agreement_id, order_id) t) as total_nds
FROM USAGE
WINDOW w AS ( PARTITION BY usage.agreement_id ROWS CURRENT ROW EXCLUDE TIES)
ORDER BY
  order_id,
  conf_id

我的老问题

推荐答案

更好的方法 dbfiddle

better approach dbfiddle:

1. 在每个订单分配row_number:row_number() over (partition by agreement_id, order_id) as nrow
2. 只取第一个 suma:filter nrow = 1

with data as (
  select * from (values 
      ( 1, 1, 1, 1.0049 ), (2, 1,1,1.0049), ( 3, 1,1,1.0049 ) ,
      ( 4, 1, 2, 1.0049 ), (5, 1,2,1.0057), 
      ( 6, 2, 1, 1.53 ), ( 7,2,1,2.18), ( 8,2,2,3.48 )
 ) t (id, agreement_id, order_id, suma)
),
intermediate as (select 
 *,
 row_number() over (partition by agreement_id, order_id ) as nrow,
 (sum( suma ) over ( partition by agreement_id, order_id ))::numeric( 10, 2) as order_suma,
from data)

select 
  *,
  sum( order_suma ) filter (where nrow = 1) over (partition by agreement_id)
from intermediate```

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