generate barcode in vb.net Lesson 1: Sizing a Database Server in Visual C#

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Lesson 1: Sizing a Database Server
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Application tuning involves ensuring that the application is opening, reusing, and closing connections properly; that it is using the OLEDB library or .NET Framework when possible and not another data access library to communicate with SQL Server; and (for server-based applications) that it is taking advantage of connection pooling. Query tuning involves first verifying that cursors, temp tables, and table variables are not being used unnecessarily. It also involves verifying that SQL queries don t return more columns than needed by the application or more rows than a user can realisti cally consume. Finally, query tuning involves verifying that transactions are kept as short as possible.
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Collecting Performance Data and Baselines
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Capacity planning is always easier if you already have a server in place that you are planning to upgrade. In this case, you can monitor the current system to determine important information used in sizing, such as transactions per second, page faults (Pages/sec), and disk utilization (% Disk Time). The first step of collecting performance data is to determine which Performance con sole (System Monitor) counters to monitor. Table 1-1 shows some of the counters that are useful for the purposes of capacity planning.
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Table 1-1
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Counters Used in SQL Server Capacity Planning
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Counter Processor:% Processor Time System: Processor Queue Length
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Comment Should average below 75% (and preferably below 50%). Should average below 2 per processor. For example, in a 2-processor machine, it should remain below 4. Should average below 20 (and preferably below 15). Should remain above 50 MB. Should average below 50%. Should average below 2 per disk. For exam ple, for an array of 5 disks, this figure should average below 10.
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Memory Pages/sec Memory Available Bytes Physical Disk % Disk Time Physical Disk Avg. Disk Queue Length
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1
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Planning a Database Server Infrastructure
Table 1-1
Counters Used in SQL Server Capacity Planning
Counter Physical Disk Avg. Disk Reads/sec Physical Disk Avg. Disk Writes/ sec Network Interface Bytes Total/sec SQL Server: Buffer Manager Buffer Cache Hit Ratio SQL Server: Buffer Manager Page Life Expectancy SQL Server: General Statistics User Connections SQL Server: Databases Transactions/sec SQL Server: Databases Data File(s) Size KB SQL Server: Databases Percent Log Used
Comment Used to size the disk and CPU. Should be below 85% of the capacity of the drive. Used to size the disk and CPU. Should be below 85% of the capacity of the drive. Used to size the network bandwidth. Should exceed 90% (and ideally approach 99%). Used to size memory. Should remain above 300 seconds. Used to size memory. Used to size disks and CPU. Used to size the disk subsystem. Used to size the disk subsystem.
Quick Check
1. CPU utilization should stay below what percentage 2. Avg. Disk Queue Length should stay below what number 3. Pages/sec should stay below what number
Quick Check Answers
1. 75 percent (CPU utilization is measured by % Processor Time) 2. 2 per disk 3. 20
Lesson 1: Sizing a Database Server
Baselines are system performance measurements gathered over brief but carefully tar geted periods, such as 10 minutes during times of highest daily activity or 20 minutes during nighttime administrative operations. As opposed to benchmarks or other types of performance measurements, baselines are intended to show actual represen tative usage of server subsystems and other key performance factors in a production environment. You should first collect performance baselines to establish usage patterns and learn the periods of peak usage over the course of a day, a month, and a year. Knowing the usage rates at their highest levels is important so that you can plan future hardware to meet your highest processing needs. After you learn periods of peak usage, you should collect baselines at those busiest times at least every three months and after any change to the system.
NOTE
Baselines and usage fluctuations
Be aware that usage patterns can shift dramatically on the first and last day of a week, month, quarter, and year.
To simplify the analysis of data collected in the Performance console (System Moni tor), you should export this saved data into Microsoft Excel. This procedure (after some tweaking) yields a table such as the one shown in Figure 1-1.
Figure 1-1
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