with table_a as(select 订单ID,单价*数量*(1-折扣) as 销售额 from 订单明细) select * from table_a where 销售额 > (select avg(单价*数量*(1-折扣)) from 订单明细)

This SQL query selects the order ID and sales amount from the order details table. It then filters the results to only show rows where the sales amount is greater than the average sales amount for all orders.

The query uses a subquery to calculate the average sales amount. The subquery is executed first and returns a single value, which is then used as a condition in the main query's WHERE clause.

Overall, this query helps identify orders that have higher than average sales, which may be useful for identifying top-performing products or customers.

相关问题

select * from ( /** 查询用户月结每天的明细信息 **/ SELECT TO_CHAR (f_hand_date, 'yyyy-MM-dd') AS f_hand_date, MIN (F_LAST_TABLEBASE) AS F_LAST_TABLEBASE, MAX (F_TABLEBASE) AS F_TABLEBASE, SUM (F_OUGHTAMOUNT) AS F_OUGHTAMOUNT, SUM (F_OUGHTFEE) AS F_OUGHTFEE FROM T_HANDPLAN WHERE f_userinfo_id = '10155142' --传f_userinfo_id AND F_HAND_DATE >= TO_DATE ( '2023-05-01 00:00:00', 'yyyy-mm-dd hh24:mi:ss' ) --传F_START_DATE AND F_HAND_DATE <= TO_DATE ( '2023-05-31 23:59:59', 'yyyy-mm-dd hh24:mi:ss' ) --传F_END_DATE GROUP BY TO_CHAR (f_hand_date, 'yyyy-MM-dd') ) where rownum <= :1故障

这个SQL查询语句中的最后一行存在问题，因为Oracle数据库中的rownum是伪列，它的值是在查询结果返回之后才会进行计算，所以在查询语句中直接使用rownum是没有意义的。将该查询结果再次进行筛选，需要使用子查询或者其他方法。

如果想要查询前N条记录，可以使用如下SQL语句：

SELECT * FROM (
  SELECT TO_CHAR (f_hand_date, 'yyyy-MM-dd') AS f_hand_date, MIN (F_LAST_TABLEBASE) AS F_LAST_TABLEBASE, MAX (F_TABLEBASE) AS F_TABLEBASE, SUM (F_OUGHTAMOUNT) AS F_OUGHTAMOUNT, SUM (F_OUGHTFEE) AS F_OUGHTFEE 
  FROM T_HANDPLAN 
  WHERE f_userinfo_id = '10155142' 
  AND F_HAND_DATE >= TO_DATE ( '2023-05-01 00:00:00', 'yyyy-mm-dd hh24:mi:ss' ) 
  AND F_HAND_DATE <= TO_DATE ( '2023-05-31 23:59:59', 'yyyy-mm-dd hh24:mi:ss' ) 
  GROUP BY TO_CHAR (f_hand_date, 'yyyy-MM-dd')
  ORDER BY f_hand_date ASC
) WHERE ROWNUM <= :1;

其中，ORDER BY语句用于对查询结果进行排序，ASC表示升序排列，DESC表示降序排列。最后使用ROWNUM进行筛选，获取前N条记录。

INSERT OVERWRITE TABLE dw_rpt_report60010105049 SELECT COALESCE(n.char3, dw.tran_country) AS tran_country, dw.col2, dw.col3, ... FROM dw_rpt_report60010105049 dw LEFT JOIN ( SELECT char2, MAX(char3) AS char3 FROM orsuser_kara.para_nationality GROUP BY char2 ) n ON dw.tran_country = n.char2 WHERE n.char2 IS NOT NULL 此段代码中的主表的tran_country不是唯一的，但是他是明细表，除了关联字段不唯一其他字段都是唯一的，还是可能会导致发散，怎么优化

针对这个问题，你可以考虑使用子查询或者临时表的方式，将明细表聚合成唯一的记录，然后再与主表进行关联。

例如，你可以先使用以下 SQL 语句将明细表中的 tran_country 字段聚合成唯一的记录，并将结果保存到一个临时表中：

CREATE TEMPORARY TABLE temp_nationality AS
SELECT char2, MAX(char3) AS char3
FROM orsuser_kara.para_nationality
GROUP BY char2;

然后，你可以将主表与临时表进行关联，这样就可以避免使用非唯一的 tran_country 字段：

INSERT OVERWRITE TABLE dw_rpt_report60010105049
SELECT COALESCE(n.char3, dw.tran_country) AS tran_country, dw.col2, dw.col3, ...
FROM dw_rpt_report60010105049 dw
LEFT JOIN temp_nationality n ON dw.tran_country = n.char2
WHERE n.char2 IS NOT NULL;

这样做的好处是，可以避免明细表中的 tran_country 字段出现重复值时导致结果发散的问题。同时，使用临时表的方式也可以提高 SQL 查询的效率。