Question

我要求从YEAR划分的数量的和中找出最大值（需要编写Oracle查询）。

例如

 ITEM_ID     ORG_ID     YEAR    QTY

  100         121        2015    10
  100         121        2016    5
  100         121        2017    8
  101         146        2014    10
  101         146        2015    11
  101         146        2016    12
  101         146        2017    13

我的输出应该是这样的： -

for Item_id 100,121 the max_avg should be max(10+5+8/3, 5+10/2, 10/1)... max (7.6, 7.5, 8) = 8
for Item_id 101,146 the max_avg should be max(10+11+12+13/4, 11+12+13/3, 12+13/2, 13/1)... max(11.5, 12, 12.5, 13) = 13

 ITEM_ID     ORG_ID     YEAR    QTY   MAX_AVG

  100         121        2015    10   8
  100         121        2016    5    8
  100         121        2017    8    8
  101         146        2014    10   13
  101         146        2015    11   13
  101         146        2016    12   13
  101         146        2017    13   13

非常感谢任何帮助。

Answer 1

您需要两层分析函数：您需要分析MAX（某些）因为您想要返回原始表中的所有行;在MAX内你需要分析（滚动）平均值。分析函数不能嵌套，因此您需要子查询和外部查询。像这样：

with inputs ( item_id, org_id, yr, qty ) as (
            select 100, 121, 2015, 10 from dual
  union all select 100, 121, 2016,  5 from dual
  union all select 100, 121, 2017,  8 from dual
  union all select 101, 146, 2014, 10 from dual
  union all select 101, 146, 2015, 11 from dual
  union all select 101, 146, 2016, 12 from dual
  union all select 101, 146, 2017, 13 from dual
)
-- End of simulated inputs (for testing only, not part of the solution).
-- SQL query begins BELOW THIS LINE. Use your actual table and column names.
select item_id, org_id, yr, qty, 
       max(forward_avg) over ( partition by item_id, org_id  ) as max_avg
from   ( select item_id, org_id, yr, qty, 
                avg(qty) over ( partition by item_id, org_id 
                                order by yr desc             ) as forward_avg
         from   inputs i
       ) b
order by item_id, org_id, yr   --   If needed
;

   ITEM_ID     ORG_ID         YR        QTY    MAX_AVG
---------- ---------- ---------- ---------- ----------
       100        121       2015         10          8
       100        121       2016          5          8
       100        121       2017          8          8
       101        146       2014         10         13
       101        146       2015         11         13
       101        146       2016         12         13
       101        146       2017         13         13

Oracle Query按年汇总数量

1 个答案: