Dear all, 

I am a DB2 specialist , doing some measurements i just noticed that there is a 
noticeable difference between DB2 CPU times i got from SMF30, and the times i 
got from the DB2 statistics records (SMF100) about the CPU consumption of DB2 
address spaces. I submitted the question to various performance specialists at 
IBM (authors of presentations at CMG ...) but none of them noticed this before. 
This is the second MVS site that i notice the differences , so i don't think 
that there is a bug behind that. 

These are the figures from DB2 stats (best viewed with Courrier font)

DATE         HOUR         DBM1ETCB      DBM1ESRB          DBM1PSRB        
DBM1PSRB_ZIIP
03/06/2013      0           31.540178   140.2765                 136.523835     
333.401916
03/06/2013      1           14.870935   44.852774         43.859088       
173.988302
03/06/2013      2           17.546114   18.196564         15.523842       
207.300039
03/06/2013      3           17.325454   66.000236         61.649473       
1456.999747
03/06/2013      4           16.751931   95.419908         92.829793       
1206.804921
03/06/2013      5           24.213324   51.655342         46.506701       
132.162745
03/06/2013      6           35.022954   22.884382         19.369356       
173.514822
03/06/2013      7           42.324382   96.183217         88.467227       
187.030505
03/06/2013      8           73.084055   66.288087         61.371691       
290.603597
03/06/2013      9           69.850307   167.798167      161.188929      
425.060097
03/06/2013      10        67.665205     120.498136      113.186459      
373.526041
03/06/2013      11        70.706745     153.536732      147.812193      
407.075726
03/06/2013      12        60.539283     134.528962      129.393636      
624.809478
03/06/2013      13        73.153567     235.42081         221.661694    
670.183583
03/06/2013      14        63.761872     142.927346      136.625667      
391.160465
03/06/2013      15        82.927862     182.976444      176.288609      
514.387042
03/06/2013      16        84.381478     354.307218      343.988406      
603.116344
03/06/2013      17        144.88751     122.065313      112.093727      
331.427855
03/06/2013      18        66.494011     101.608153      94.651068         
254.728888
03/06/2013      19        72.725397     181.765654      175.388629      
704.725331
03/06/2013      20        52.064067     244.641995      241.672743      
648.582962
03/06/2013      21        45.376909     150.177911      147.636724      
830.518694
03/06/2013      22        40.749379     185.008524      179.965654      
583.106242
03/06/2013      23        45.786124     522.132983      517.471089      
978.145563




SMF30 


HOUR    JOB           CPTM___S   ZIETM__S        ZIPTM__S
0           DB2ADBM1    78.73        20.19         139.09  
1           DB2ADBM1    52.73        0.28            64.3    
2           DB2ADBM1    42.48        0.4             199.27  
3           DB2ADBM1    118.01     0.12      526.86  
4           DB2ADBM1    90.57        4              552.08  
5           DB2ADBM1    83.27        0.08            94.97   
6           DB2ADBM1    72.95        0.54            166.88  
7           DB2ADBM1    157.11     0.62      175.67  
8           DB2ADBM1    155.57     1.89      203.73  
9           DB2ADBM1    205.1        6.81            365.48  
10        DB2ADBM1      204.05     8.15      346.49  
11        DB2ADBM1      213.57     10.93              351.76  
12        DB2ADBM1      203.95     21.67           453     
13        DB2ADBM1      278.48     12.72           413.49  
14        DB2ADBM1      191.55     3.86      327.08  
15        DB2ADBM1      235.35     17.87           382.24  
16        DB2ADBM1      355.58     28.18           516.72  
17        DB2ADBM1      294.43     4.75      310.23  
18        DB2ADBM1      178.44     2.58      174.93  
19        DB2ADBM1      164.93     13.89           420.33  
20        DB2ADBM1      152.48     34.16           276.46  
21        DB2ADBM1      166.14     40.72           517.69  
22        DB2ADBM1      173.13     35.89           383.63  
23        DB2ADBM1      283.16     138.37          563.8   


Then when i compare 2 columns (DB2 stats Total without ziip = TCB+ SRB)

DB2 stats Total   SFM30 CPTM
72.17049        78.73     
16.707969       52.73     
61.614529       42.48     
41.264081       118.01    
31.475179       90.57     
66.229403       83.27     
57.053882       72.95     
125.252103      157.11    
88.60907        155.57    
134.621029      205.1     
169.553904      204.05    
135.398974      213.57    
127.345858      203.95    
212.304083      278.48    
130.535859      191.55    
147.950007      235.35    
171.674095      355.58    
209.463009      294.43    
120.344867      178.44    
105.649649      164.93    
50.374971       152.48    
75.285076       166.14    
147.288304      173.13    
114.881095      283.16    


With excel , the 2 graphs are parallel , so i guess that there is something 
that is not accounted with the SMF100 figures.
My MVS colleague just noticed that  there is only 2% difference in the total 
consumption of the day, and think that it may come from the way values are 
consolidated (SMF interval vs. DB2 stats interval) 

Please advice. 


Thank you 


 

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