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One of the best ways to target multiple servers is by using replication. In many cases, no application changes are necessary, and by using multiple servers, applications are allowed to scale to whatever level is necessary. There are many types of replication, but one that you might want to consider is peer-to-peer replication. Peer-to-peer replication is a new feature added with SQL Server 2005. This low-overhead solution allows you to maintain copies of a database on multiple servers, while still allowing for updates. In peer-to-peer replication, each server will access its own copy of the database, but only one of the servers at a time will be allowed to update the data. Once the server updating the database has made the changes, a new copy of the database will be sent to the peers. If any of the other peers has made a similar change before the change is propagated to the others, a conflict could occur. For this reason, you want to implement this solution on servers where there is a low update frequency. In cases where there is a high update frequency, you might want to consider another scale-out option or consider using another replication type, such as merge replication. Merge replication does provide conflict resolution, but it consumes more server resources. In peer-to-peer replication, each peer acts as both a publisher and a subscriber. There is no master publisher that copies updates to read-only subscribers. Each peer is able to make updates and then copy the changes to all other peers. Because conflict resolution is not

Table 8-3

Looking at Table 8-3, you might wonder why anyone would use a majority node set cluster because it appears to offer less tolerance than a standard cluster. The quorum database contains the configuration of the cluster as well as controlling cluster operations. If the quorum database were to become unavailable, the entire cluster would be unavailable. A standard cluster has a single quorum database on a single shared drive array. Failure of the shared drive array or corruption of the quo rum database causes the entire cluster to become unavailable. A majority node set has a copy of the quorum database on each node that is synchronized with all other cop ies, so it removes the quorum as a single point of failure in a cluster.

8

When query execution takes significantly longer than expected, you need to first identify the slow-running queries and then determine the reason for the delay. Slowrunning queries can be caused by performance problems related to your network, to the server on which SQL Server is running, or to the physical database design. Sometimes the problem can be linked to indexes and statistics for example, a lack of useful statistics on indexed columns, out-of-date statistics on indexed columns, a lack of useful indexes, or a lack of useful indexed views. Lesson 3 discusses indexes. Inadequate memory available for SQL Server can cause an excessive number of disk I/O operations. Several methods exist for determining whether a query execution plan results in excessive I/O activity. You can use the Transact-SQL SET statement options, Profiler event classes, the Management Studio graphical execution plan, or the sys.dm_exec_query_stats DMV.

You should apply all security best practices for Windows to each node within a clus ter. Disable any services that are not necessary.

built-in, the only way to avoid conflicts is by using a concept known as data stewardship. This involves assigning ownership of the data and then creating rules that define how that data will be updated. A good example of where peer-to-peer replication is effective is in the case of a large company with offices scattered across the country. Each office has its own application and database servers, but they all need to share customer account information. Peer-to-peer replication would allow each office to maintain a separate copy of the database. The office that opened the customer account would be the only one allowed to update the data for that customer. All other offices would be able to read the customer data and place orders for that customer, but only the original office would own the customer account. In addition, the office that placed an order would be the only one allowed to update that order. The application would be responsible for determining which office is allowed to update a customer or order record. For this scenario to work, all the databases must maintain the same data schema. The individual peer databases should not contain any additional tables or objects that are not part of the central schema. Before any subscriptions are created, a publication that allows peer-to-peer replication should be created. When the subscriptions are created, they need to be initialized using a backup as opposed to a snapshot. Using a backup is a fast and easy way to populate the subscription database. In this lesson, we will not go into detail surrounding replication and specifically configuring peer-to-peer replication. For more information regarding this topic, refer to the article, How to: Configure Peer-to-Peer Transactional Replication at http://msdn2.microsoft.com/en-us /library/ms152536.aspx.