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Date:         Fri, 11 May 2007 15:22:48 -0700
Reply-To:     Jack Hamilton <jfh@STANFORDALUMNI.ORG>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Jack Hamilton <jfh@STANFORDALUMNI.ORG>
Subject:      Re: OT: z/OS SMS compressed datasets
Comments: To: charles.harbour@PEARSON.COM
In-Reply-To:  <200705112134.l4BJZEeH015970@malibu.cc.uga.edu>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed

I think the run-time issue would be that I/O is slowest thing a program does - so even if there's more CPU usage, the program will still run faster because of decreased I/O.

I recall hearing of cases where using compression decreased BOTH i/o and CPU usage, because the increased CPU needed to do the compression and decompression was outweighed by the decrease in CPU needed by the i/o engine.

charles.harbour@PEARSON.COM wrote: > Storage is cheap! > > Even for shops that don't do chargeback, this is a truism, from both an > engine purchasing point of view, as well as software licensing point of > view (based on MIPS or MSUs). > > There are also real-time considerations, in that more cpu time nearly > always translates to longer elapsed times--if you have a short down-time > window to get your daily run completed before the next business day opens > (esp if you have world-wide operations), the trade-off is pretty much a no- > brainer. > > I would think this would apply largely to the huge shops and not smaller > operations, but storage really is cheaper than cpu at pretty much any level. > > I do have a question back to the list--does having compression turned on > affect whether or not you can run parallel processing? I would think an > index would be hard to reference quickly if it's compressed, but I don't > know that for a fact. Anybody done any testing around this? > > CH > > > On Fri, 11 May 2007 20:37:01 +0000, toby dunn <tobydunn@HOTMAIL.COM> wrote: > >> The only thing I know of and others will chime in with hopefully something >> important if one exists is alot of companies get charged by the CPU time >> used. Thus if you have to use more CPU time it could end up costing your >> company more than if they had just bought more DASD disk packs. >> >> >> >> Toby Dunn >> >> On the other hand, you have different fingers. ~ LCG >> >> The early bird may get the worm, but the second mouse gets the cheese in > the >> trap. ~ LCG >> >> What happens if you get scared half to death, twice? ~ LCG >> >> >> >> >> >> From: "Jeff J. Voeller" <SAS-Programmer@WYWH.COM> >> Reply-To: SAS-Programmer@wywh.com >> To: SAS-L@LISTSERV.UGA.EDU >> Subject: OT: z/OS SMS compressed datasets >> Date: Fri, 11 May 2007 13:25:15 -0700 >> >> This isn't specifically SAS-related, though I imagine it's something >> others out there have looked into. >> >> It's possible to designate mainframe datasets as compressed, usually >> (always?) via a DATACLAS. I've been doing this for a while and have had >> no issues, but I recently searched our production libraries and have come >> to the conclusion that literally no one else in a rather large company is >> taking advantage of this capability, at least not in the production >> environment. >> >> I'm curious why this would be the case. All I see when I use compressed >> datasets is lower--sometimes dramatically lower--DASD usage. There's also >> presumably higher CPU usage, though I have not found this to be a problem. >> SAS libraries can't be in SMS compressed datasets, but that's no trouble >> either. Since *my* production jobs are taking advantage of compressed >> datasets, it's also clearly not some kind of arbitrary production >> standard. >> >> Is there some insidious catch that I'm missing which will some day bite me >> in an uncomfortable place? I've searched around a bit, but haven't found >> much beyond variations on "Oh yeah, you can use compression." >> >> _________________________________________________________________ >> Now you can see trouble?before he arrives >> http://newlivehotmail.com/? > ocid=TXT_TAGHM_migration_HM_viral_protection_0507


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