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This counter measures the pressure on a physical hard disk array (not a logical partition or individual disks in the array). If the value of this counter exceeds 55 percent for continuous periods of 10 minutes or more over during a 24-hour monitoring period, the SQL Server 2005 server might be experiencing a disk I/O bottleneck. If this happens only a few times over the 24-hour period, disk I/O pressure is not a major problem. If, on the other hand, it happens more than once per hour, a disk I/O problem exists and you need to address it.

Service Broker Provides queuing along with reliable and secure messaging to applications using SQL Server 2005. It can be used to coordinate services asynchronously and provide a scalable and robust solution. Query Notifications Allows an application to request that a notification is sent when the results of a query change. This is useful when refreshing cached data. Instead of refreshing the data on a scheduled basis, the application can refresh the cache only when the data has actually changed. Native XML Web Services Through HTTP endpoints, you can expose SQL Server data directly through XML Web services. Instead of residing on an Microsoft Internet Information Services (IIS) server, the Web services reside on SQL Server itself and are built using stored procedures or user-defined functions. Notification Services Allows you to send notifications to subscribers concerning events within the application. The notifications can be sent to a variety of devices according to the subscribers preferences. SQLCLR The SQL Common Language Runtime (CLR) allows you to create and compile .NET Framework code that executes on the SQL Server. This is where the logic for your service provider resides. You can use SQLCLR to create high-level functions that replace Transact-SQL stored procedures and user-defined functions.

You can find white papers, webcasts, blogs, and other resources related to Windows clustering at www.microsoft.com/windowsserver2003/community/centers/clustering.

The drawback to implementing a solution using SODA is that it requires many application changes, and a good deal of the code will reside in the database in the form of SQLCLR code. Because so much of the business logic resides with the database, you are essentially tied to that

After this lesson, you will be able to:

Windows clustering enables multiple pieces of hardware to act as a single platform for running applications. Each piece of hardware in a cluster is called a cluster node.

This counter also measures the pressure on a physical hard disk array. If it exceeds 2 for each individual disk drive in an array (that is, a five-disk RAID array has a queue length of 10 or greater) for a period of 10 minutes or more, you might have a disk I/O bottleneck for that array. As with the Physical Disk: % Disk Time counter, if this happens occasionally in your 24-hour monitoring period, the pressure is not serious. If, however, it happens often, you might need to increase the I/O performance on the server as previously described. You should use both the % Disk Time and the Avg. Disk Queue Length counters to help you decide whether your server is experiencing an I/O bottleneck. If you see many time periods where the % Disk Time is over 55 percent and when the Avg. Disk Queue Length counter is over 2 per physical disk, you can be confident the server is experiencing a disk I/O bottleneck.

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Instead of using the specific term server to refer to a node, we prefer to use piece of hardware. A server is considered to be a single piece of physical hardware that is installed and capable of run ning an operating system. However, servers exist in the marketplace (such as the Unisys ES7000) that are capable of more-advanced configurations. On these advanced hardware platforms, it is possible to configure a subset of the hardware resources as a machine that is then exposed as a server. These configurations are indistinguishable from a regular physical server that is installed in a data center. Additionally, it is possible to configure multiple machines within a single chassis and then cluster those machines for redundancy. Subsequently, in this chapter we refer to a node with the generic term server, which can mean either a physical machine or one of these virtual machines.

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