I have an application which logs changes to records in the “production” table to a “history” table. The history table is basically a field for field copy of the production table, with a few extra columns like last modified date, last modified by user, etc.
This works well because we get a snapshot of the record anytime the record changes. However, it makes it hard to determine unique status changes to a record. An example is below.
BoxID StatusID SubStatusID ModifiedTime
1 4 27 2011-08-11 15:31
1 4 11 2011-08-11 15:28
1 4 11 2011-08-10 09:07
1 5 14 2011-08-09 08:53
1 5 14 2011-08-09 08:19
1 4 11 2011-08-08 14:15
1 4 9 2011-07-27 15:52
1 4 9 2011-07-27 15:49
1 2 8 2011-07-26 12:00
As you can see in the above table (data comes from the real system with other fields removed for brevity and security) BoxID 1 has had 9 changes to the production record. Some of those updates resulted in statuses being changed and some did not, which means other fields (those not shown) have changed.
I need to be able, in TSQL, to extract from this data the unique status changes. The output I am looking for, given the above input table, is below.
BoxID StatusID SubStatusID ModifiedTime
1 4 27 2011-08-11 15:31
1 4 11 2011-08-10 09:07
1 5 14 2011-08-09 08:19
1 4 11 2011-08-08 14:15
1 4 9 2011-07-27 15:49
1 2 8 2011-07-26 12:00
This is not as easy as grouping by StatusID and SubStatusID and taking the min(ModifiedTime) then joining back into the history table since statuses can go backwards as well (see StatusID 4, SubStatusID 11 gets set twice).
Any help would be greatly appreciated!
Does this do work for you