Ron,
While your solution can keep "small" datasets away from EAS, it is not a solution for a need I described. I mean a scenarion when many thousands of relatively small datasets need to be kept on disk. Colleague of mine administer a system, where ~200 000 datasets are created during EOD.

Of course when we talk about big storage needs it's  usually not-so-many datasets, but big or huge ones. Last, but not least, we have limited choice - up to 64(-256) non-EAV volumes or bigger EAV volumes (with the same limit for quantity).

Regards
--
Radoslaw Skorupka
Lodz, Poland







W dniu 2018-01-13 o 19:02, Ron hawkins pisze:
Radoslaw,

That's why you can change the threshold for the track allocation area.

DCOLLECT and PROC UNIVARIATE will probably give you all the guidance you need. 
DCOLLECT does not have the primary space allocation size so this code is not 
100% accurate. It is good enough to give some guidance.

I executed this against one of our general purpose lab systems, and this is the 
CMA waste estimate with break point value at 5, 10 and 20 cylinders.

EAV Breakpointvalue 10 Cylinders
Total Used   Cylinders 7516066.07911661
Total Wasted Cylinders 610787.607878009
Percent Wasted CMA                8.1%

EAV Breakpointvalue 5 Cylinders
Total Used   Cylinders 7516066.07911661
Total Wasted Cylinders 783635.165880735
Percent Wasted CMA               10.4%

EAV Breakpointvalue 20 Cylinders
Total Used   Cylinders 7516066.07911661
Total Wasted Cylinders 309321.636811143
Percent Wasted CMA                4.1%

You could use SAS code like this to come up with a  good starting point for 
your shop when you go EAV.

options obs=max bufno=256 nosource2 nomacrogen nosymbolgen nomlogic nomprint 
sortsize=6G msglevel=i;
goptions reset=all;

%let BPV=20;

Title1 "EAV Breakpoint Value &BPV Cylinders";                          *** Main 
Output Title     ;

FILENAME DCOLLECT FTP   (       
                                        "MY.DCOL'"
                                        )
                           USER='myuid' HOST='111.222.333.444' DEBUG
                           S370VS RCMD='SITE RDW' LRECL=32760
                           PASS='mypw';

proc datasets lib=pdb kill noprint;
run;quit;

proc datasets lib=work kill noprint;
run;quit;

%include sourclib(typedcol);
run;

data dcolsp;
        set dcoldset;
        usedcyl=dcdusesp/(15*56664);
        if usedcyl>&BPV then wastecyl=mod(usedcyl,21);
        output;return;
run;

title2 "Data set size distribution in Cylinders";
proc univariate data=dcolsp;
        var usedcyl;
        histogram;
run;

title2 "Cylinder Managed Area - Data set size distribution in Cylinders";
proc univariate data=dcolsp;
        where usedcyl>&bpv;
        var usedcyl;
        histogram;
run;

proc summary data=dcolsp nway;
        var usedcyl wastecyl;
        output  out=dcolsum
                        sum=
                        ;
run;

data _null_;
        set dcolsum;
        pctwaste=wastecyl/usedcyl;
        put             "EAV Breakpointvalue &BPV Cylinders"
                /       "Total Used   Cylinders " usedcyl     best16.
                /       "Total Wasted Cylinders " wastecyl    best16.
                /       "Percent Wasted CMA                " pctwaste 
percent16.1
                ;
run;


-----Original Message-----
From: IBM Mainframe Discussion List [mailto:IBM-MAIN@LISTSERV.UA.EDU] On Behalf 
Of R.S.
Sent: Friday, January 12, 2018 5:48 AM
To: IBM-MAIN@LISTSERV.UA.EDU
Subject: Re: [IBM-MAIN] AW: Re: Number of Cylinders per Volume

W dniu 2018-01-12 o 13:15, Tom Marchant pisze:
On Fri, 12 Jan 2018 01:32:07 +0100, R.S. wrote:

BTW: an "awful waste of storage" is MCU on EAS which is 21 cyl. (315
trk). It is much more than 4kB and more than 4MB.
Not such a big deal for very large data sets, which are the most
appropriate ones to go into the cylinder-managed space. When you have
a quarter of a million cylinders, allocating space on increments of 21
cylinders isn't so bad, IMO.

Of course. However sometimes people need a lot of not-so-big datasets.
For ~1000 cyl datasets average lost is ~1% ( (21/2)/1000 ), but for 50 cyl 
datasets is ~20%.

--
Radoslaw Skorupka
Lodz, Poland

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