Answer / dilip anand k

Its Simple!!

All you have to do is link your source to a Sort Stage.
Sort the data and generate a Key Change column.
Key Change column = ‘1’ represents that the record is
unique while Key Change Column = ‘0’ represents the
duplicates.

Put a Filter stage and filter out the data into two
different outputs based on the generated Key Change Column.

Answer / farzana kalluri

input output
1 T1 T2
2 4 1
2 6 2
1 7 3
3 4
4 5
3
5
5
6
7
for this

seq file---->Aggregate(key=id)---->filter---->2 targets

In aggregate use count rows...
in filter count=1 it goes to target1
if count=2 it goes to target2..

Answer / ramachandra rao

After source use aggregator stage and use option aggregator
type is count and count the records after that use filter in
where clause count>1 ie duplicate records go to one target
and another where clause count=1 ie unique records go to
another target.

Answer / sonali s

The above solution doesnt give required output. The requirement is as below:
Input:
A
B
B
C
D
D
D

Output should have 2 files as below.

File 1
A
C

File 2
B
B
D
D
D

Please provide solution for this

Answer / purba

Input:
A
B
B
C
D
D
D

Required output:
A
B
C
D

Solution:
Seq file----->sort stage(create key change column for the I/p key row)
O/p:
A 1
B 1
B 0
C 1
D 1
D 0
D 0

Now take filter stage to filter for key column=0 & keycol=1
We get 2 outputs:
A. B
B. D
C. D
D

Answer / riyazahamedmohamed

take two links using copystage, of your input file,one is your input file output, another one is for keychange column(using sort stage set the key change column to true) with filter "0" out of transformer, to the look up stage.set the lookup option to continue-reject.you will get the desired output.reject will capture unique records.output file will capture duplicate records.

Answer / krishna

As per my knowledge
initially soure is in sequential stage anc take aggrigator
stage and select the grouping option and select which column
you want to group then go to option command and select
column for calculation and select the which column you want
to do the operation .in column for calculation w have seen
many options and select missing count column name and give
the column name for output.and add transformer stage with in
the transformer stage add constraints .and give the two outputs
if column name=1 then 1 else 0
if column name>=2 then 1 else 0
it will work

source file contains 100 records, i want 10 records in target file how it possible in datastage

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