Generate Key Data To Support
Vast is an Ocean,So is vast the World of Knowledge. With my diving suit packed, loaded with imaginative visions, and lots of curiosity, started diving deep into the world of BODS.Lots of work is going on. Got attracted towards the “Key_Generation” transform and was fascinated at its features.Now it was time for me to fuse and adapt myself into its world.
THE KEY_GENERATION TRANSFORM:-
Backups of SSH key data should be treated with the same level of security and paranoia that you treat SSH key data on your workstation. Security should be the first and last thing you consider when backing up security data. Backups of your SSH key data may not be necessary; if your SSH key is lost. Jun 21, 2016 This g enerates new keys for source data, starting from a value based on existing keys in the table we specify. If needed to generate Artificial keys in a table, the KeyGeneration transform looks up the maximum existing key value from a table and uses it as the starting value to generate new keys. SSH key data may be backed up and restored in the event that you reload your workstation, or you may generate a new SSH key and invalidate your old key. If you decide to generate a new SSH key remember to invalidate any disused keys. Backing Up SSH Key Data. You are solely responsible for ensuring you have a viable backup of your SSH key data.
This transform is categorized under the “Data Integrator Transforms”. Outlook mac 2011 product key generator. This generates new keys for source data, starting from a value based on existing keys in the table we specify.
If needed to generate Artificial keys in a table, the Key_Generation transform looks up the maximum existing key value from a table and uses it as the starting value to generate new keys.
The transform expects the generated key column to be part of the input schema.
STEPS TO USE KEY GENERATION TRANSFORM:-
Scenario:- Here the target data source for which the keys is needed to be added, have certain newly added rows without a Customer_ID. This could be easily understood in the following snap:-
Our aim here is to automatically generate the keys(Customer_ID) in this case , for the newly inserted records which have no Customer_Id. Accordingly we have taken the following as our input (the modified data without Customer_ID)
INPUT DATA (to be staged in the db):-
TARGET TABLE(which contains the data initially contained in the source table before the entry of new records in the database):-
THE GENERATED DATA FLOW:-
Keydata
CONTENT OF SOURCE DATA:- (containing the modified entry alone)
CONTENT OF QUERY_TRANSFORM:-
CONTENT OF THE KEY_GENERATION TRANSFORM:-
THE CONTENTS OF THE TARGET TABLE PRIOR JOB EXECUTION:-
The JOB_EXECUTION:-
THE OUTPUT AFTER THE JOB EXECUTION:-
We can now see from the output how Keys have been generated automatically to those records which did not have the Customer_ID initially.
Key Value Data
I explored this little process of the Key_Generation transform, and it seems a savior at times when huge amount of data have the missing entries(wrt to the keys or any sequential column fields).
Generate Key Data To Support Number
Now its time to go back to the surface of waters…….