Here, you will learn "How to split a multi valued attributes column into individual rows by using tNormalize?" in Talend Open Studio.
Example - We are using player data where every player plays multiple games and all
the games for that player are stored in Games column in the normalized form.
Id
|
FirstName
|
LastName
|
Games
|
1
|
Ryan
|
Arjun
|
Baseball, Table Tennis, Cricket, Tennis
|
2
|
Kimmy
|
Wang
|
Cricket, Tennis, Basketball, Hockey
|
3
|
Rosy
|
Gray
|
Badminton, Volleyball, Soccer
|
4
|
Will
|
Smith
|
Tennis, Basketball, Volleyball, Soccer
|
5
|
John
|
Godson
|
Swimming, Volleyball, Soccer
|
We want to generate separate row for each game based in Games column for
that particular player.
Id
|
FirstName
|
LastName
|
Games
|
1
|
Ryan
|
Arjun
|
Baseball
|
1
|
Ryan
|
Arjun
|
Table Tennis
|
1
|
Ryan
|
Arjun
|
Cricket
|
1
|
Ryan
|
Arjun
|
Tennis
|
2
|
Kimmy
|
Wang
|
Cricket
|
2
|
Kimmy
|
Wang
|
Tennis
|
2
|
Kimmy
|
Wang
|
Basketball
|
2
|
Kimmy
|
Wang
|
Hockey
|
3
|
Rosy
|
Gray
|
Badminton
|
3
|
Rosy
|
Gray
|
Volleyball
|
3
|
Rosy
|
Gray
|
Soccer
|
4
|
Will
|
Smith
|
Tennis
|
4
|
Will
|
Smith
|
Basketball
|
4
|
Will
|
Smith
|
Volleyball
|
4
|
Will
|
Smith
|
Soccer
|
5
|
John
|
Godson
|
Swimming
|
5
|
John
|
Godson
|
Volleyball
|
5
|
John
|
Godson
|
Soccer
|
By the help of tNormalize processing component, we can achieve this in Talend Open Studio because tNormalize component splits a record having comma separated values into multiple records. This is useful when data is not organized properly; tNormalize helps to improve data quality which makes ease the data update.
tNormalize processing component helps improve data quality and thus eases the data update and normalizes the input flow following SQL standard. So, this component can be used as intermediate step in a data flow.
tLogRow component allows you to write data, that is flowing through your Job (rows), to the console. Here, we have to connect our tFileInputDelimated_1 component to tLogRow component for showing the data output to the console.
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