SQL Server 2014 Replace Distinct? DeIdentify Data - sql

Question

I am going to explain again what I am trying to do in hopes that you can help.
Table 1 has 4061 rows with columns that include
[Name],[Address1],[Address2],[Address3],[City],[State],[Zip],[Country],[Phone]
and 20 other columns. Table 1 is data that needs to be deidentified. Table 1 has 1534 distinct [Name] rows out of 4061 rows total.
Table 2 has auto generated data which includes the same columns. I would like to replace the above mentioned columns in table 1 with data from table 2. I want to select distinct based on [Name] from table one and then [Name],[Address1],[Address2],[Address3],[City],[State],[Zip],[Country],[Phone] with a new set of distinct data from table 2.
I do not want to just update each row with a new address as that will screw up the data consistency. By replacing only distinct this will allow me to preserve the data consistency while changing the row data in table 1. When I am done I would like to have 1534 distinct new de-identified [Name] [Address1],[Address2],[Address3],[City],[State],[Zip],[Country],[Phone] in table 1 from table 2.

Answer 1

You would use join in the update. You can generate a join key for 1500 rows using row_number():
update toupdate
set t.address = f.address
from (select t.*, row_number() over (order by newid()) as seqnum
from table t
) toupdate join
(select f.*, row_number() over (order by newid()) as seqnum
fake f
) f
on toupdate.seqnum = f.seqnum and t.seqnum <= 1500;

Answer 2

Here is how I ended up doing it.
First I ran a statement to select distinct and inserted it into a table.
Select Distinct [Name],[Address1],[City],[State],[Zip],[Country],[Phone]
INTO APMAST2
FROM APMAST
I then added name2 column in APMAST2 and used a statement to create a sequential id field into APMAST2.
DECLARE #id INT
SET #id = 0
UPDATE APMAST2
SET #id = id = #id + 1
GO
Now I have my distinct info plus a blank name field and a sequential ID field in APMAST2. Now I can join this date with my fakenames table which I generated from. HERE using their bulk tool.
Using a Join Statement I joined my fake data with APMAST2
Update dbo.APMAST2
SET dbo.APMAST2.Name = dbo.fakenames.company,
dbo.APMAST2.Address1 = dbo.fakenames.streetaddress,
dbo.APMAST2.City = dbo.fakenames.City,
dbo.APMAST2.State = dbo.fakenames.State,
dbo.APMAST2.Zip = dbo.fakenames.zipcode,
dbo.APMAST2.Country = dbo.fakenames.countryfull,
dbo.APMAST2.Phone = dbo.fakenames.telephonenumber
FROM
dbo.APMAST2
INNER JOIN
dbo.fakenames
ON dbo.fakenames.number = dbo.APMAST2.id
Now I have my fake data loaded but I kept my original Name field so I could reload this data into my full table ARMAST so now I can do a join between ARMAST2 and ARMAST.
Update dbo.APMAST
SET dbo.APMAST.Name = dbo.APMAST2.Name,
dbo.APMAST.Address1 = dbo.APMAST2.Address1,
dbo.APMAST.City = dbo.APMAST2.City,
dbo.APMAST.State = dbo.APMAST2.State,
dbo.APMAST.Zip = dbo.APMAST2.Zip,
dbo.APMAST.Country = dbo.APMAST2.Country,
dbo.APMAST.Phone = dbo.APMAST2.Phone
FROM
dbo.APMAST
INNER JOIN
dbo.apmast2
ON dbo.apmast.name = dbo.APMAST2.name2
Now my original table has all fake data in it but it keeps the integrity it had , well most of it, so the data looks good when reported on but is de-identified. You can now remove APMAST2 or keep it if you need to match this with other data later on. I know this is long and I am sure there is a better way to do it but this is how I did it, suggestions welcome.