Question

RDW（重新数据仓库）用于通过压缩逻辑减少数据量。压缩是指存储仅反映基础数据源更改的物理数据。

清单事实表以下列形式存储数据。

Week        Item        Location    stock_on_hand
--------------------------------------------------
201601      I1          L1          50
201602      I1          L1          30
201605      I1          L1          60
201608      I1          L1          50

但是我需要sql查询来获得以下结果

Week        Item        Location    stock_on_hand
--------------------------------------------------
201601      I1          L1          50
201602      I1          L1          30
201603      I1          L1          30
201604      I1          L1          30
201605      I1          L1          60
201606      I1          L1          60
201607      I1          L1          60
201608      I1          L1          50

Answer 1

测试数据（我添加了几行以便更好地理解并拆分年和周列）

grunt default-prod

查询

with t(year, Week , Item, Location,  stock_on_hand) as
(select 2016, 01,      'I1',          'L1',          50 from dual union all
select 2016, 02,      'I1',          'L1',          30 from dual union all
select 2016 ,05,      'I1',          'L1',          60 from dual union all
select 2016 ,08,      'I1',          'L1',          50 from dual union all
select 2016, 02,      'I2',          'L1',          30 from dual union all
select 2016, 08,      'I2',          'L1',          40 from dual union all
select 2016, 02,      'I1',          'L2',          10 from dual union all
select 2016, 08,      'I1',          'L2',          40 from dual union all
select 2016, 08,      'I1',          'L3',          40 from dual)

这种方法也有一个小问题。如果你有不同年份的间隔。实施例

with t(year, Week , Item, Location,  stock_on_hand) as
(select 2016, 01,      'I1',          'L1',          50 from dual union all
select 2016, 02,      'I1',          'L1',          30 from dual union all
select 2016 ,05,      'I1',          'L1',          60 from dual union all
select 2016 ,08,      'I1',          'L1',          50 from dual union all
select 2016, 02,      'I2',          'L1',          30 from dual union all
select 2016, 08,      'I2',          'L1',          40 from dual union all
select 2016, 02,      'I1',          'L2',          10 from dual union all
select 2016, 08,      'I1',          'L2',          40 from dual union all
select 2016, 08,      'I1',          'L3',          40 from dual),
temp(year, Week , Item,   Location,  stock_on_hand, ct) as(
select year, Week , Item,   Location,  stock_on_hand, nvl(lead(Week) over(partition by Item, Location order by year, Week)-Week,1) from t)
 select year, Week + rn - 1 as week, Item, Location,  stock_on_hand
    from temp, xmltable('1 to xs:integer($ct)' passing ct as "ct" columns rn number path '.')
    order by Item, Location ,year, week

然后它工作不正确。我不知道你的数据是否具有相同的模式。如果有，请添加信息以发布或回复。

<强>更新对于生活在几年内的间隔，你可以遵循（对于startDate我选择国际周的日期）

select 2016, 01,      'I1',          'L1',          50 from dual union all
select 2017, 02,      'I1',          'L1',          30 from dual union all

解压缩的SQL逻辑

1 个答案: