Appologies if anyone got this twice, it didn't seem to come through first time.
Guys, At the time that real 3390s were replaced by RVA/ICEBERG DASD we threw away all our DASD allocation guidelines on blocksizes and space allocation as RVA compressed the track anyway before storing only the used data on physical DISK. We started to use blocksizes that suited the data rather than the 3390 geometry. E.g. We typically blocked sequential files as large as we could as it didn't matter if we wasted 1/3 of a track, we just defined more virtual 3390s. We also made datasets too big to avoid SB37s, again if the space wasn't used it wasn't on 'real' disk. I've just discovered, a bit late I know, that ESS/Shark DASD does not compress the tracks and so there is now, again, a direct relationship between virtual 3390 tracks and physical disk usage. To save ESS disk we should use half track blocks & allocate only as much as we need, etc etc. Also ESS may sometimes read blocks of data, not full tracks, so small blocks may be advantagous in some cases. Having read some of the ESS doc I'm still trying to get my head round the implications of this. Do all the old 3390 best practices now come back into effect or are there some wrinkles for ESS? I understand about PAV, Multiple Allegiances, Logical volumes etc, I'm looking for the end user dataset allocation type information. Things like what block sizes to use and the impact of inter-record gaps, assuming they still exist? I've searched IBM-MAIN and the IBM hardware manuals without much enlightenment. Perhaps I got my search wrong, or perhaps as ESS DASD has been around for such a long time the discussion may have fallen off the edge of the internet! Is there a good document/discussion anywhere of best end user DASD practices with ESS/shark? Regards, Ron. ---------------------------------------------------------------------- For IBM-MAIN subscribe / signoff / archive access instructions, send email to [EMAIL PROTECTED] with the message: GET IBM-MAIN INFO Search the archives at http://bama.ua.edu/archives/ibm-main.html