CODEWITHSUNDEEP
sqlteradatadata-masking
Ahmed Mohammed Abdel Kader
Ahmed Mohammed Abdel Kader

Reputation: 149

Masking sensitive Data in SQL Teradata

Dears,

please I have a column with a SerialID like Below which I need to mask it using a SQL query

|SerialID            |
|--------------------|
|00027083691581342079|
|00027139741580324755|
|00027016011583677218|
|00027016011583677218|
|00027139061577873262|
|00027056351580383150|
|00027143131580371648|
|00027143131580371648|
|00027143131580371648|
|00027147651583526704|

to be the output like the below

|SerialID            |NewID|
|--------------------|-----|
|00027083691581342079|1    |
|00027139741580324755|2    |
|00027016011583677218|3    |
|00027016011583677218|3    |
|00027139061577873262|4    |
|00027056351580383150|5    |
|00027143131580371648|6    |
|00027143131580371648|6    |
|00027143131580371648|6    |
|00027147651583526704|7    |

Upvotes: 0

Views: 1496

Answers (1)

Gordon Linoff
Gordon Linoff

Reputation: 1269443

You can use dense_rank():

select serialid, dense_rank() over (order by serialid) as newid
from t;

EDIT:

I have had experience on some parallel systems that the following is faster:

select t.*, newid       
from t join
     (select serialid, 
             row_number() over (order by serialid) as newid
      from t
      group by serialid
     ) tt
     on t.serialid = tt.serialid;

Some databases need to sort all the data on a single node because there is no partition by using the dense_rank(). The aggregation query reduces the amount of data so it can significantly improve performance -- but I'm not sure if this trick works in Teradata.

Upvotes: 2

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