I have a table that gets inserted into every night that is a snapshot of the data. At any point in time, the data might change in the columns (AccountNo stays the same, RunKey is incremented by 1, and RunDate increments by 1 day; all other columns can change ad-hoc). Below is a sample of how the data looks:
|AccountNo | RunKey | RunDate | Address | Salary | PromotionDate|----------------------------------------------------------------------------| 12345 | 2 | 06/20/2017 | 123 Main Street | 60,000 | 01/15/2017 || 12345 | 3 | 06/21/2017 | 123 Main Street | 60,000 | 01/15/2017 || 12345 | 4 | 06/22/2017 | 123 Main Street | 65,000 | 06/21/2017 |There will be a new record for each column change. So if multiple columns changed, each change would be documented in a new line. I was able to dynamically insert only changed columns into the new table.
Declare @YourTable Table ([AccountNo] int,[RunKey] int,[RunDate] date,[Address] varchar(50),[Salary] int,[PromotionDate] date)Insert Into @YourTable Values (12345,2,'06/20/2017','123 Main Street',60000,'01/15/2017'),(12345,3,'06/21/2017','123 Main Street',60000,'01/15/2017'),(12345,4,'06/22/2017','123 Main Street',65000,'06/21/2017');with cte as ( Select A.AccountNo ,A.RunKey ,A.RunDate ,B.* ,PreValue=Lag(Value) over (Partition By AccountNo,Item Order by RunDate) ,PreDate =Lag(RunDate) over (Partition By AccountNo,Item Order by RunDate) From @YourTable A Cross Apply ( values ('Address' ,cast(A.[Address] as varchar(max))) ,('Salary' ,cast(A.[Salary] as varchar(max))) ,('PromotionDate',cast(A.[PromotionDate] as varchar(max))) ) B (Item,Value))Select * From cte Where Value<>PreValue and PreValue is not null
This is where I need help, I don't know how show all the changes for the same date, accountNo and RunKey in one row instead of multiple rows. is this possible to achieve? sample of needed / similar result needed: