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This section includes the following topics:

 

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  • About the Statistics tab

 

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  • Understanding the Statistics tab

 

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  • Examining Statistics tab entities

 

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  • Identifying performance problems with the Statistics tab

 

 

About the Statistics tab 

To determine whether your SAP system is performing optimally it is necessary to analyze performance measurements over time. The Statistics tab provides many performance counters grouped into several predefined graphs that enable you to analyze performance problems from various aspects, such as, CPU, scalability and load. In addition, the average response time and transactions are displayed so that you can make a correlation between the performance counters and the statistics and gain a better understanding how the activity of your servers affects your SAP system.

The Statistics tab can help you identify the host with the highest average CPU consumption during the last day. The Statistics tab enables you to observe and analyze different activities in your SAP system. For example, you can:■    Determine

  • Determine which server had the highest maximum CPU usage during the selected time period?

 

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  • View a capacity graph showing the system’s average response time vs. its active users.

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Note: The server entity is the only entity viewed in the Statistics tab. As a result the navigation ToolTip is not enabled in this tab.

 

 

Understanding the Statistics tab

 

The Statistics tab displays statistical data on the servers in your SAP application. These servers include your SAP system application servers and the database server. For example, you can observer what was the maximum CPU usage of the database server or the load placed on an application server.

 

About the Main area in the Statistics tab

The Main area shows a series of overtime graphs and capacity graphs that enable you to examine the performance of the servers in your SAP application, from various aspects. You can, for example, examine how the number of active users and connected users influences CPU capacity or Load capacity or determine how scalable your system servers are, over time. 

 

About the Association area in the Statistics tab

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In the Association area, click the row of the server entity you want to view detailed information for. The Tab heading displays the server you selected; the Main area displays statistical information on the server you drilled down to, and the Association area is empty. See “About Precise for SAP tabs” on page 12. See , “How most tabs are structured” on page 13. See , and “About the Dashboard tab” on page 28. 

Examining Statistics tab entities

 

The Statistics tab displays statistical information on all SAP Servers in an application. Several Operating System statistics are presented to enable you to examine SAP Server and Operating System statistics together. Capacity graphs enable you to examine how the number of active users and connected users influence your system’s capacity. The tab can be used to monitor your system's recent state as well as previous status.

 

About the Main area in the Statistics tab

In addition to the regular overtime graphs, the Statistics tab introduces capacity graphs. The capacity graph shows how a specific counter (CPU, Load, or Response Time) reacted when there was an increase in the number of active users or connected users, in the specified system. 

View    Description 

Viewing Scalability statistics    The Scalability view shows the CPU usage and the average response time parameters, over the specified time period. 

Viewing Operating system statistics    The Operating System view displays statistics for the selected system or server, over the selected time period.

 

Viewing Usage statistics    The Usage view displays active users vs. connected users, over the selected time period.

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The Steps and Average Response Time provide additional information on the usage of your system. These graphs enable you to observe the connection between the active SAP users and the steps they created.

 

Viewing CPU capacity statistics    The CPU Capacity view displays the CPU vs. active users and CPU vs. connected users capacity graphs. This enables you to check how the server’s CPU performance was affected when additional users were added to the system.

 

 

Viewing response time capacity statistics

 

 

The Response Time Capacity view displays the Response Time vs. active users Response Time vs. connected users capacity graphs. This enables you to check how the server’s response time was affected when additional users were added to the system.

 

 

Viewing load capacity statistics    The Load Capacity view displays the Load vs. active users and Load vs. connected users capacity graphs. This enables you to check how the load on the server was affected when additional users were added to the system.

 

 

About the Association area in the Statistics tab

The Association are displays the following information on the selected SAP system servers. If you drill down to a server, the Association area is blank.

 

 

The Association area has six tab views.

The following table describes the information contained in each of these tabs .

Table 7-1    Association 1 Association area tabs

 

Tab    Description

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Paging    Shows paging activity information on this server 

The following table describes the information displayed in the General tab.

 

Table 7-2    General 2 General tab

 

Column    Description

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Transactions    Displays the number of transactions run by the server.

 

The following table describes the information displayed in the HitRatio tab. 

Table 7-3    HitRatio 3 HitRatio tab

 

Column    Description

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Screen HitRatio    Percentage of screen code found in memory buffers.

 

 

The following table describes the information displayed in the Application Server tab. 

Table 7-4    Application 4 Application Server tab

 

Column    Description

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Extended Memory Used (Avg)    Extended memory used for this host.

 

The following table describes the information displayed in the CPU tab.

 

Table 7-5    CPU 5 CPU tab

 

Column    Description

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Idle mode CPU (%)    Percentage of idle mode CPU usage on this host.

 

The following table describes the information displayed in the Memory tab.

 

Table 7-6    Memory 6 Memory tab

 

Column    Description

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Swap MAX KB (Avg)    Maximum swap size area used. 

The following table describes the information displayed in the Paging tab. 

Table 7-7    Paging 7 Paging tab

 

Column    Description

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Page out/s KB (Avg)    Size of pages swapped out.

 

 

Identifying performance problems with the Statistics tab 

The Statistics tab displays detailed information on the hosts (application server hosts and database server host) that comprise your SAP system.

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You can identify performance problems by doing one or more of the following:

 

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  • Examining CPU statistics

 

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  • Examining the capacity of your SAP system

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Examining CPU statistics

You can examine a server’s activity over time to confirm that CPU usage falls within a normal range. A continually high level of CPU usage may indicate that the application needs improvement or more processes should be added to the machine to enhance performance. A low CPU usage indicates that the system is not using all the machine’s processing power. If you conclude that high CPU usage is the result of an activity in the SAP system, open the Activity tab to continue your analysis of the application’s performance.

 

Examining the capacity of your SAP system

You can examine the capacity of your SAP system by viewing the capacity graphs in the Statistics tab. You can view CPU capacity, Load capacity or Response Time capacity. Unlike the overtime graph a capacity graph lets you determine how a specific counter (CPU, Load, Response time) reacted when there was an increase in the number of connected users or the number of active users. For example, if the number of active users reached 100 the CPU counter increased considerably to 90%, this may suggest that letting more users connect to this particular server may eventually bring the CPU to 100% and thereby slow down all the users working on this server. 

 

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