Move Data from One Table To Another Table With New Layout - sql-server

Question

Please note, I asked this previously, but realized that I left out some very important information and felt it better to remove the original question and post a new one. My apologies to all........
I have a table that has the following columns:
ID
Name
2010/Jan
2010/Jan_pct
2010/Feb
2010/Feb_pct
.....
.....
2017/Nov
2017/Nov_pct
And then a column like that for every month/year combination to the present (hopefully that makes sense). Please note though: it is NOT a given that every month / year combination is present. There might be a gap or a missing month/year. For instance, I know 2017/Jan, 2017/Feb are missing and there could be any number missing. I just didn't want to list out every column but give a general idea of the layout.
Added to that, there isn't one row in the database, but can have multiple rows for a Name / ID and the ID is not an identity, but can be any number.
To give an idea of how the table looks, here is some sample data (mind you, I only added two of the Year/Mon combinations, but there are dozens that do not necessarily have one for each month/year)
ID Name 2010/Jan 2010/Jan_Pct 2010/Feb 2010/Feb_Pct
10 Gold 81 0.00123 79 0.01242
134 Silver 82 0 75 0.21291
678 Iron 987 1.53252 1056 2.9897
As you can imagine, this isn't the best design as you need to add a new two new columns every month. So I created a new table with the following definitions
ID - float,
Name - varchar(255),
Month - varchar(3),
Year - int,
Value - int,
Value_Pct - float
I am trying to figure out how to move the existing data from the old table into the new table design.
Any help would be greatly appreciated.....

Answer 1

You can work with the unpivot operator to get what you need, with one added step of combining extra rows returned by the unpivot operator.
Sample Data Setup:
Given that the destination table has a value column of int datatype and the value_pct of float data type, I followed the same datatype guidance for the existing data table.
create table dbo.data_table
(
ID float not null
, [Name] varchar(255) not null
, [2010/Jan] int null
, [2010/Jan_Pct] float null
, [2010/Feb] int null
, [2010/Feb_Pct] float null
)
insert into dbo.data_table
values (10, 'Gold', 81, 0.00123, 79, 0.01242)
, (134, 'Sliver', 82, 0, 75, 0.21291)
, (678, 'Iron', 987, 1.53252, 1056, 2.9897)
Answer:
--combine what was the "value" row and the "value_pct" row
--into a single row via summation
select a.ID
, a.[Name]
, a.[Month]
, a.[Year]
, sum(a.value) as value
, sum(a.value_pct) as value_pct
from (
--get the data out of the unpivot with one row for value
--and one row for value_pct.
select post.ID
, post.[Name]
, substring(post.col_nm, 6, 3) as [Month]
, cast(substring(post.col_nm, 1, 4) as int) as [Year]
, iif(charindex('pct', post.col_nm, 0) = 0, post.value_prelim, null) as value
, iif(charindex('pct', post.col_nm, 0) > 0, post.value_prelim, null) as value_pct
from (
--cast the columns that are currently INT as Float so that
--all data points can fit in one common data type (will separate back out later)
select db.ID
, db.[Name]
, cast(db.[2010/Jan] as float) as [2010/Jan]
, db.[2010/Jan_Pct]
, cast(db.[2010/Feb] as float) as [2010/Feb]
, db.[2010/Feb_Pct]
from dbo.data_table as db
) as pre
unpivot (value_prelim for col_nm in (
[2010/Jan]
, [2010/Jan_Pct]
, [2010/Feb]
, [2010/Feb_Pct]
--List all the rest of the column names here
)
) as post
) as a
group by a.ID
, a.[Name]
, a.[Month]
, a.[Year]
Final Output: