OK Thanks Andy, I'll give it gao when I have some time to have a play.

Cheers
Gerry Anstey


                                                                           
             Andy Wood                                                     
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This sounds suspiciously like something I saw with SDSF a long time ago. I
like
to think that things would have improved by now, but who knows? This is how

you could tell:

If you don't have the original job still on spool run a job to create a
test
SYSOUT dataset. Use something that will write records that don't contain
lots
of blanks, and the more records the better - several million would be good.


Create a job to run SDSF in batch to select your test SYSOUT and capture it

to a DASD dataset (or even to DD DUMMY), using the SDSF PRINT command,
but set it up to not capture the whole test dataset - use something
like "PRINT 1 500000".

Run your SDSF batch job a number of times, varying the number of records
printed, by changing the second number of the PRINT range. Try it for say
500000, 1000000, 1500000 etc and see how the resource usage, particularly
CPU time increases as it processes more records.

If you find that CPU time increases disproportionally with increasing
number of
records processed, you probably have the same problem I found, where it
became unusable for very large datasets. If it is still like that you could
try
opening a PMR. If they tell you that you are the only one to ever have this

problem, suggest that they search the PMR archive for about 1998, looking
for
the words ISFDSRC and PARROT.


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