Answer / kamlesh mishra

The PowerCenter Server skips the specified number of rows
before reading the file. Use this to skip header
rows in the file.
And for last rows implement following logic.

1) Take sorter transformation reverse the rows on the basis of some key field like empno.
2)take expr transformation add nextval from sequence generator
3) Take filter transformation add condition nextval !=1 .
4)(optional)reverse the rows again using sorter transformation.
5) From filter to tgt connect the respective ports.

Src---->SQ--->SORTER--->EXPR---->FILTER---->SORTER---->TGT

Answer / allen

Skipping the firt row in a flat file is easy:
The PowerCenter Server skips the specified number of rows
before reading the file. Use this to skip title or header
rows in the file.

Skipping the last row is not as easy. In my case, the last
row was a record count. I was able to check ports that
shouldn't be null, spaces or zeros and reject the row. The
LENGTH function can also be used to check the length of
data. Delimited or not has to be considered in any checks.

Answer / manoj subramanian

I have done it using sequence generator,rank and filter transformation.
Filtering first record:
Generated sequence no using sequence transformation and given
as input to rank transformation.In properties selected
top and no of ranks as maximum rank allowed in informatica
then followed by filter transformation with filter condition
as rankindex<>1.
Filtering last Record:
Followed by another set of rank and filter wit rank property as bottom.

Answer / sagarreddy

in source qualifier your using this query like this u get it
easily
select rowid from tablename
minus
(select min(rowid) from tablename
union
select max(rowid) from tablename )
if u write this query will work it plz go through it

Answer / maneesh

To eliminate first row, simply use a counter in Expression and then Filter.

To eliminate the last row, make two pipelines with the same source
In first pipeline, use AGGREGATOR without any Group By ports In second pipeline, join it with the above with JOINER. Use and Outer Join and then other than that Joined row .. load all the rows.

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