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Best Practices for SAP BI using DB2 9 for z/OS - IBM Redbooks

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The number of queries per hour shown in Table 11-3 is the number of business<br />

reports (user queries) per hour.<br />

Table 11-3 <strong>BI</strong> Accelerator query test results: throughput, selectivity, response time<br />

DB/blade size Throughput<br />

(queries/hr)<br />

Response<br />

time<br />

(seconds)<br />

The average CPU utilization on the database server on System z <strong>for</strong> this<br />

workload at steady state was less than 10%. They were 6.7%, 7.2%, and 6.2%<br />

<strong>for</strong> 5 TB, 15 TB, and 25 TB, respectively.<br />

The next three figures show the average CPU load utilization of our <strong>SAP</strong> <strong>BI</strong> back<br />

end on System p and <strong>SAP</strong> <strong>BI</strong> Accelerator on the cluster of blades <strong>for</strong> the three<br />

measurement points during multi-user test scenarios. The average high load is<br />

the measured CPU utilization <strong>for</strong> approximately 15 minutes of peak steady state.<br />

Figure 11-8 shows that the average CPU high load of the <strong>SAP</strong> <strong>BI</strong> back end on<br />

System p is 79.29%, and <strong>SAP</strong> <strong>BI</strong> Accelerator on the cluster of blades is 71.69%<br />

<strong>for</strong> 5 TB and 27 blades.<br />

Figure 11-8 Multiuser reporting: average CPU load 5 TB, 27 blades<br />

248 <strong>Best</strong> <strong>Practices</strong> <strong>for</strong> <strong>SAP</strong> <strong>BI</strong> <strong>using</strong> <strong>DB2</strong> 9 <strong>for</strong> z/<strong>OS</strong><br />

QDBSEL<br />

(records)<br />

QDBTRANS<br />

(records)<br />

5 TB/27 blades 100,404 4.5 5,906,534 303 1.69<br />

15 TB/81 blades 100,940 4.2 22,186,286 440 1.68<br />

Part<br />

provider<br />

factor<br />

25 TB/135 blades 100,712 4.2 36,767,954 520 1.69

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