我有一张这样的表:
Client Branch Amount Date
1 2 1500 1.1.14
1 2 1400 3.1.14
1 3 1500 1.1.14
1 4 300 7.1.14
1 5 1500 1.1.14
------------------------------
2 2 300 1.1.14
2 2 300 1.1.14
2 5 300 1.1.14
2 3 400 4.1.14
------------------------------
3 2 300 1.1.14
3 2 300 1.1.14
3 5 300 1.1.14
3 5 300 1.1.14
3 3 400 4.1.14
4 2 300 1.1.14
4 2 300 1.1.14
4 5 300 1.1.14
4 5 300 1.1.14
4 5 300 1.1.14
我想要的输出应该是这样的:
Client Branch Amount Date Ind Loan_Distinct_Num
1 2 1500 1.1.14 0 1
1 2 1400 3.1.14 0 2
1 3 1500 1.1.14 1 1
1 4 300 7.1.14 0 3
1 5 1500 1.1.14 1 1
-------------------------------------------------
2 2 300 1.1.14 0 1
2 2 300 1.1.14 0 2
2 5 300 1.1.14 1 2
2 3 400 4.1.14 0 3
--------------------------------------------------
3 2 300 1.1.14 0 1
3 2 300 1.1.14 0 2
3 5 300 1.1.14 1 1
3 5 300 1.1.14 1 2
3 3 400 4.1.14 0 3
------------------------------------------------
4 2 300 1.1.14 0 1
4 2 300 1.1.14 0 2
4 5 300 1.1.14 1 1
4 5 300 1.1.14 1 2
4 5 300 1.1.14 0 3
那我该怎么办? (评论:这些记录只是一个样本数据)
嗯,这些是规则: 客户已从同一银行的一个分支机构转移到另一个分支机构。问题是分支机构正在为他写几次数据。我想确定重复的贷款。需要两个步骤:
第一步: 假设:Same_Amount + Same_Date + 不同日期--->在第一个原始之后的记录中,Ind = 1。
Ind字段如何运作?
例如: 在client = 1的分区中,1500的金额在同一日期和不同的分支上重新获得3次,但只有这两个最后记录的详细信息将获得Ind的“1”值,第一个将获得Ind = 0,因为它不是重复贷款,这是第一次有数据和日期的记录出现在数据中。
如果客户端= 2,则branch = 2有两个记录,branch = 5只有一个记录,所以在这种情况下我会假设分支的最后一条记录= 2被重复。
如果像client = 3那样,branch = 2中有两条记录,branch就有两条记录= 5,所以在这种情况下,我将假设来自分支2的两笔贷款都被重复。
在客户端= 4时,它会像客户端3一样,但是有另一条记录,但我会认为它是一个新记录,因为我没有额外的过去贷款与她沟通。
步骤2:我想为每个客户创建我自己的不同贷款号码
有关如何处理解决此问题或简单问题的任何帮助?
评论:sql-server 2008。
答案 0 :(得分:1)
首先 - 将数据设置为表格。我已经添加了一个标识列ID,因此我们可以按顺序排序 - 您在评论中指定您的数据是按特定顺序排列的。
declare @data table (ID int identity(1,1), Client int, Branch int, Amount int, [Date] date);
insert into @data values
(1,2, 1500,'2014-01-01'),
(1,2, 1400,'2014-03-01'),
(1,3, 1500,'2014-01-01'),
(1,4, 300,'2014-07-01'),
(1,5, 1500,'2014-01-01'),
(2,2, 300,'2014-01-01'),
(2,2, 300,'2014-01-01'),
(2,5, 300,'2014-01-01'),
(2,3, 400,'2014-04-01'),
(3,2, 300,'2014-01-01'),
(3,2, 300,'2014-01-01'),
(3,5, 300,'2014-01-01'),
(3,5, 300,'2014-01-01'),
(3,3, 400,'2014-04-01'),
(4,2, 300,'2014-01-01'),
(4,2, 300,'2014-01-01'),
(4,5, 300,'2014-01-01'),
(4,5, 300,'2014-01-01'),
(4,5, 300,'2014-01-01');
以下是我们进行查询的地方:
--In the first cte, we take all the data, and partition it up into individual loans (partition by Client, Amount, Date).
with cte1 as (
select *, ROW_NUMBER() over (partition by Client, Amount, Date order by ID) as rowno from @data
), cte2 as (
--in this cte, we get a list of distinct loans. We will use another rownumber in a bit to find our Loan_Distinct_Num
select distinct Client, Amount, [Date] from @data
)
select cte1.Client, cte1.Branch, cte1.Amount, cte1.[Date]
-- If rowno = 1, it's the first instance of that combination
, case when rowno = 1 then 0 else 1 end as ind
, b.Loan_Distinct_Num
from cte1
left join (select cte2.*, ROW_NUMBER() over (partition by Client order by [Date]) as Loan_Distinct_Num
-- This is where our distinct loan number comes from
from cte2
) as b
on b.Client = cte1.Client and b.Amount = cte1.Amount and b.[Date] = cte1.[Date]
order by ID
答案 1 :(得分:0)
如果ind应该只有1,如果存在具有不同分支#的前一个记录,那么这是一个答案#(见第7行)。另外,使用dense_rank按贷款额度/日期在loan_distinct_num中对贷款进行分组。对于该列,逻辑似乎更复杂 - 如果这是一次性修复,我可能会使用游标循环遍历表并应用一些更复杂的逻辑来填充该列,而不是尝试在查询中计算它。
-- sample data
declare @data table (ID int identity(1,1), Client int, Branch int, Amount int, [Date] date);
insert into @data values
(1,2, 1500,'2014-01-01'),
(1,2, 1400,'2014-03-01'),
(1,3, 1500,'2014-01-01'),
(1,4, 300,'2014-07-01'),
(1,5, 1500,'2014-01-01'),
(2,2, 300,'2014-01-01'),
(2,2, 300,'2014-01-01'),
(2,5, 300,'2014-01-01'),
(2,3, 400,'2014-04-01'),
(3,2, 300,'2014-01-01'),
(3,2, 300,'2014-01-01'),
(3,5, 300,'2014-01-01'),
(3,5, 300,'2014-01-01'),
(3,3, 400,'2014-04-01'),
(4,2, 300,'2014-01-01'),
(4,2, 300,'2014-01-01'),
(4,5, 300,'2014-01-01'),
(4,5, 300,'2014-01-01'),
(4,5, 300,'2014-01-01');
-- query
select client, branch, amount, date,
case when exists (select * from @data t2 where client = tbl.client and branch <> tbl.branch and amount = tbl.amount and date = tbl.date and id < tbl.id) then 1 else 0 end as ind,
DENSE_RANK() over (partition by client order by date, amount asc) as loan_disinct_num
from @data tbl
order by id;