单个Oracle查询中不同组级别的不同和总和

Question

下面是我的查询。无论如何，有没有使用不同级别的组级别。我需要获取product_count列以计算不同的Product_id，但不在account_id and acct_type_id level处。

当前，product_count列的每一行都为1。我只需要获得不同数量的产品ID，就需要将短期和长期销售汇总为account_id,product_id, acct_type_id级。

所以我希望输出像：

order_date account_id short_sales long_sales **product_count** price product_id acct_type_id <br>
31-Oct-19 6698777      -2800         500           **0**            30       100005      3 <br>
31-Oct-19 6998874      -4000         325           **0**            30       100005      2 <br>
31-Oct-19 5555555      -5000        1000           **0**            30       100005      3 <br>
31-Oct-19 4444444      -1000        5000           **1**            30       100005      2


select POS.ORDER_DATE,
POS.ACCOUNT_ID,
SUM(POS.SHORT_SALES) as SHORT_SALES,
SUM(POS.LONG_SALES) as LONG_SALES,
COUNT(Distinct POS.PRODUCT_ID) AS PRODUCT_COUNT,
POS.PRICE,
POS.PRODUCT_ID,
POS.ACCT_TYPE_ID 
from PRODUCT 

(             
SELECT P.ORDER_DATE, P.ACCOUNT_ID, P.PRODUCT_ID, P.ACCT_TYPE_ID,P.PRICE,case when P.POSITION_SD < 0 THEN P.NET_POSITION_SD END AS SHORT_SALES, 
case when P.POSITION_SD > 0 THEN P.NET_POSITION_SD END AS LONG_SALES 
        FROM PRODUCT P 
        WHERE P.POSITION_DATE = '31-OCT-19'
) POS 
group by POS.ORDER_DATE, POS.ACCOUNT_ID, POS.PRODUCT_ID, POS.ACCT_TYPE_ID,POS.PRICE 
ORDER BY PRODUCT_ID

Answer 1

您可以使用grouping sets定义要为其计算小计的列。

列出想要作为小括号的小计的列集：

with products as (
  select mod ( level, 3 ) product_id,
         mod ( level, 6 ) account_id,
         mod ( level, 2 ) acct_type
  from dual
  connect by level <= 10
)
  select product_id, account_id, acct_type, count(*)
  from   products
  group  by grouping sets (
    product_id,
    ( product_id, account_id, acct_type )
  );

PRODUCT_ID     ACCOUNT_ID     ACCT_TYPE     COUNT(*)   
            0             0            0           1 
            0             3            1           2 
            0        <null>       <null>           3 
            1             1            1           2 
            1             4            0           2 
            1        <null>       <null>           4 
            2             2            0           2 
            2             5            1           1 
            2        <null>       <null>           3