Datastage Scenario Based Requirement
Requirement
i/p
abc 1 1234 null
abc 1 null 4561
o/p
abc 1 1234 4561
How to do it using Datastage?
datastage
add a comment |
Requirement
i/p
abc 1 1234 null
abc 1 null 4561
o/p
abc 1 1234 4561
How to do it using Datastage?
datastage
In general sample data is a good start but please provide also your business requirement. I.e. for your case if there alre always two and only two rows - column names would be good to refer to the name etc. Do not let us guess.
– MichaelTiefenbacher
Nov 13 '18 at 17:07
add a comment |
Requirement
i/p
abc 1 1234 null
abc 1 null 4561
o/p
abc 1 1234 4561
How to do it using Datastage?
datastage
Requirement
i/p
abc 1 1234 null
abc 1 null 4561
o/p
abc 1 1234 4561
How to do it using Datastage?
datastage
datastage
asked Nov 13 '18 at 7:22
Subhasree MitraSubhasree Mitra
104
104
In general sample data is a good start but please provide also your business requirement. I.e. for your case if there alre always two and only two rows - column names would be good to refer to the name etc. Do not let us guess.
– MichaelTiefenbacher
Nov 13 '18 at 17:07
add a comment |
In general sample data is a good start but please provide also your business requirement. I.e. for your case if there alre always two and only two rows - column names would be good to refer to the name etc. Do not let us guess.
– MichaelTiefenbacher
Nov 13 '18 at 17:07
In general sample data is a good start but please provide also your business requirement. I.e. for your case if there alre always two and only two rows - column names would be good to refer to the name etc. Do not let us guess.
– MichaelTiefenbacher
Nov 13 '18 at 17:07
In general sample data is a good start but please provide also your business requirement. I.e. for your case if there alre always two and only two rows - column names would be good to refer to the name etc. Do not let us guess.
– MichaelTiefenbacher
Nov 13 '18 at 17:07
add a comment |
1 Answer
1
active
oldest
votes
Based on the very basic information from your query I suggest trying an Aggregator stage but it could also be solved with a transformer.
The first two columns seem to be the key columns and use max for all the other ones in the aggregator.
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Based on the very basic information from your query I suggest trying an Aggregator stage but it could also be solved with a transformer.
The first two columns seem to be the key columns and use max for all the other ones in the aggregator.
add a comment |
Based on the very basic information from your query I suggest trying an Aggregator stage but it could also be solved with a transformer.
The first two columns seem to be the key columns and use max for all the other ones in the aggregator.
add a comment |
Based on the very basic information from your query I suggest trying an Aggregator stage but it could also be solved with a transformer.
The first two columns seem to be the key columns and use max for all the other ones in the aggregator.
Based on the very basic information from your query I suggest trying an Aggregator stage but it could also be solved with a transformer.
The first two columns seem to be the key columns and use max for all the other ones in the aggregator.
answered Nov 13 '18 at 21:42
MichaelTiefenbacherMichaelTiefenbacher
2,1742614
2,1742614
add a comment |
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In general sample data is a good start but please provide also your business requirement. I.e. for your case if there alre always two and only two rows - column names would be good to refer to the name etc. Do not let us guess.
– MichaelTiefenbacher
Nov 13 '18 at 17:07