Question

我收到了这个查询

CREATE OR REPLACE View  QTY_VIEW  As 
SELECT       
  DATA_VIEW.RAW_ID as RAW_ID, 
  DATA_VIEW.CREATE_DATE as CREATE_DATE, 
  DATA_VIEW.UPDATE_DATE as UPDATE_DATE, 
  DATA_VIEW.INITIAL_QTY as INITIAL_QTY, 
  DATA_VIEW.ACTUAL_QTY as ACTUAL_QTY, 
  DATA_VIEW.USED_QTY as USED_QTY, 
  DATA_VIEW.LAST_USED_BY as LAST_USED_BY, 
  CASE 
    WHEN DATA_VIEW.ACTUAL_QTY = DATA_VIEW.INITIAL_QTY 
      THEN 0             
    WHEN LAG(DATA_VIEW.USED_QTY, 1, 0) 
           OVER (ORDER BY DATA_VIEW.RAW_ID ASC,DATA_VIEW.ACTUAL_QTY,DATA_VIEW.UPDATE_DATE)
           = DATA_VIEW.USED_QTY - DATA_VIEW.USED_QTY   
      THEN 0            
    ELSE
      LAG(DATA_VIEW.USED_QTY, 1, 0) 
        OVER (ORDER BY DATA_VIEW.RAW_ID ASC,DATA_VIEW.ACTUAL_QTY,DATA_VIEW.UPDATE_DATE)
      - DATA_VIEW.USED_QTY  
    END as SINGLE_USE_QTY 
FROM 
  DATA_VIEW 
order by RAW_ID asc, UPDATE_DATE,ACTUAL_QTY ;

我认为我没有正确使用LAG功能，因为最后的结果是负值而不是正值。有什么建议可以帮我吗？ DATA_VIEW是 QTY_VIEW就像那样我做错了什么？

Answer 1

对我来说，情侣似乎很“腥”..

1）你正在对RAW_ID进行排序..这是一个字符串...其中包含数字... 你的排序顺序将对raw_1进行排序，然后是raw_10 ..然后是raw_11（等等）然后是raw_19，然后是raw_2 ..然后是raw_20 ..然后是raw_21 ......等等...然后是raw_3 ..等等。你应该考虑使用一个正确的序列......纯粹的数字......所以你可以选择正确的排序。

2）在你的第二个CASE条款中......你有......本质上：当LAG（某事）= qty - qty时...... 这基本上是：当LAG（某事）= 0时...... 是这个意图吗？如果您是在第一次出现之后，可能会更清楚地说：当LAG（某物）为空时

3）你显示的结果是什么..绝对不符合他们提供的查询/数据...在我重新输入所有数据后（感谢图像顺便说一下..下次再来，请放好实际的文字，所以我们可以复制/粘贴..让我们的工作更容易帮助你：P）我得到的结果与你不一样... 所以请重新发布一个完整的测试用例......使用适当的数据，查询..以及这样的文本格式...这样我们就可以验证我们没有在示例中引入拼写错误;）

这是我发布的内容：

  RAW_ID UPDATE_DA INITIAL_QTY ACTUAL_QTY   USED_QTY SINGLE_USE_QTY
  ------ --------- ----------- ---------- ---------- --------------
  raw_1  06-JUN-17       20000   48.52559   19951.47              0
  raw_10 06-JUN-17       20000   20.76559   19979.23         -27.76
  raw_11 06-JUN-17       20000   17.29559    19982.7          -3.47
  raw_12 06-JUN-17       20000   13.82559   19986.17          -3.47
  raw_13 06-JUN-17       20000   10.35559   19989.64          -3.47
  raw_14 06-JUN-17       20000   6.885593   19996.11          -6.47
  raw_15 06-JUN-17       20000   3.415594   19996.58           -.47
  raw_2  06-JUN-17       20000    45.0556   19954.94          41.64
  raw_3  06-JUN-17       20000   41.58559   19958.41          -3.47
  raw_4  06-JUN-17       20000   38.11559   19961.88          -3.47
  raw_5  06-JUN-17       20000   38.11559   19961.88              0
  raw_6  06-JUN-17       20000    34.6456   19965.35          -3.47
  raw_7  06-JUN-17       20000   31.17559   19968.82          -3.47
  raw_8  06-JUN-17       20000   27.70559   19972.29          -3.47
  raw_9  06-JUN-17       20000   24.23559   19975.76          -3.47

  15 rows selected.

这是我的重新查询...但不知道你真正想要的是什么..

  with data_view as (
  select 'raw_1'  raw_id, 1 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 48.52559 actual_qty, 19951.47 used_qty from dual union all
  select 'raw_2'  raw_id, 2 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 45.0556  actual_qty, 19954.94 used_qty from dual union all
  select 'raw_3'  raw_id, 3 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 41.58559 actual_qty, 19958.41 used_qty from dual union all
  select 'raw_4'  raw_id, 4 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 38.11559 actual_qty, 19961.88 used_qty from dual union all
  select 'raw_5'  raw_id, 5 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 38.11559 actual_qty, 19961.88 used_qty from dual union all
  select 'raw_6'  raw_id, 6 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 34.6456  actual_qty, 19965.35 used_qty from dual union all
  select 'raw_7'  raw_id, 7 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 31.17559 actual_qty, 19968.82 used_qty from dual union all
  select 'raw_8'  raw_id, 8 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 27.70559 actual_qty, 19972.29 used_qty from dual union all
  select 'raw_9'  raw_id, 9 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 24.23559 actual_qty, 19975.76 used_qty from dual union all
  select 'raw_10' raw_id, 10 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 20.76559 actual_qty, 19979.23 used_qty from dual union all
  select 'raw_11' raw_id, 11 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 17.29559 actual_qty, 19982.7  used_qty from dual union all
  select 'raw_12' raw_id, 12 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 13.82559 actual_qty, 19986.17 used_qty from dual union all
  select 'raw_13' raw_id, 13 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 10.35559 actual_qty, 19989.64 used_qty from dual union all
  select 'raw_14' raw_id, 14 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 6.885593 actual_qty, 19996.11 used_qty from dual union all
  select 'raw_15' raw_id, 15 raw_id2, to_date('6/6/2017 16:01','dd/mm/yyyy hh24:mi') update_date, 20000 initial_qty, 3.415594 actual_qty, 19996.58 used_qty from dual 
  )
     SELECT       
        DATA_VIEW.RAW_ID as RAW_ID, 
        DATA_VIEW.RAW_ID2 as RAW_ID2, 
        DATA_VIEW.UPDATE_DATE as UPDATE_DATE, 
        DATA_VIEW.INITIAL_QTY as INITIAL_QTY, 
        DATA_VIEW.ACTUAL_QTY as ACTUAL_QTY, 
        DATA_VIEW.USED_QTY as USED_QTY, 
        LAG(DATA_VIEW.USED_QTY, 1, 0) OVER     
                 (ORDER BY DATA_VIEW.RAW_ID2 ASC,DATA_VIEW.ACTUAL_QTY,DATA_VIEW.UPDATE_DATE) 
           as lag_used_qty,
        CASE 
           WHEN   DATA_VIEW.ACTUAL_QTY =  DATA_VIEW.INITIAL_QTY 
              THEN 0             
           WHEN LAG(DATA_VIEW.USED_QTY, 1, 0) OVER 
                 (ORDER BY DATA_VIEW.RAW_ID2 ASC,DATA_VIEW.ACTUAL_QTY,DATA_VIEW.UPDATE_DATE) IS NULL
              THEN 0            
           ELSE
              LAG(DATA_VIEW.USED_QTY, 1, 0) OVER 
                 (ORDER BY DATA_VIEW.RAW_ID2 ASC,DATA_VIEW.ACTUAL_QTY,DATA_VIEW.UPDATE_DATE) 
                 - DATA_VIEW.USED_QTY  
        END as SINGLE_USE_QTY 
     FROM 
        DATA_VIEW 
     order by RAW_ID2 asc, ACTUAL_QTY, UPDATE_DATE ;

这是结果：

  RAW_ID    RAW_ID2 UPDATE_DA INITIAL_QTY ACTUAL_QTY   USED_QTY SINGLE_USE_QTY
  ------ ---------- --------- ----------- ---------- ---------- --------------
  raw_1           1 06-JUN-17       20000   48.52559   19951.47              0
  raw_2           2 06-JUN-17       20000    45.0556   19954.94          -3.47
  raw_3           3 06-JUN-17       20000   41.58559   19958.41          -3.47
  raw_4           4 06-JUN-17       20000   38.11559   19961.88          -3.47
  raw_5           5 06-JUN-17       20000   38.11559   19961.88              0
  raw_6           6 06-JUN-17       20000    34.6456   19965.35          -3.47
  raw_7           7 06-JUN-17       20000   31.17559   19968.82          -3.47
  raw_8           8 06-JUN-17       20000   27.70559   19972.29          -3.47
  raw_9           9 06-JUN-17       20000   24.23559   19975.76          -3.47
  raw_10         10 06-JUN-17       20000   20.76559   19979.23          -3.47
  raw_11         11 06-JUN-17       20000   17.29559    19982.7          -3.47
  raw_12         12 06-JUN-17       20000   13.82559   19986.17          -3.47
  raw_13         13 06-JUN-17       20000   10.35559   19989.64          -3.47
  raw_14         14 06-JUN-17       20000   6.885593   19996.11          -6.47
  raw_15         15 06-JUN-17       20000   3.415594   19996.58           -.47

  15 rows selected.

滞后功能无法正常工作

1 个答案: