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e.g.: repor ng system Sequen al I/O dominant Read intensive Key metrics: IO throughput, parallel queries Fewer but larger transac ons compared to OLTP

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Figure 2.1 Characterizing I/O workload is a crucial prerequisite in designing the appropriate storage system. Unlike OLTP, OLAP systems typically consist of fewer but larger sequential read dominant transactions.

As a high-availability technology, clustering has a number of advantages and limitations when compared to other SQL Server high-availability options such as database mirroring and transaction log shipping (covered in chapter 11). Its primary advantage is that in the event of a server failure, the entire instance and all of its databases are moved to a failover server, a process that usually takes no more than about 90 seconds. This stands in contrast to mirroring or log shipping solutions, which are established on an individual database-by-database basis. In addition to providing protection from unexpected server failure, the other major benefit of clustering is the ability to reduce downtime during planned outages. For example, consider a requirement to upgrade a server s RAM. Unless we have a server with hot-add RAM capabilities, we d need to power off the server, upgrade the RAM, and power back on again, and during this time the database instance would be unavailable. In a clustering scenario, we could manually initiate failover, which would move the instance from one server to the other, enabling the upgrade to occur while the instance is available on another cluster server. Thus, the downtime is limited to the failover time, typically about 1 minute.

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Unlike database mirroring and transaction log shipping, the major limitation of clustering, particularly in Windows Server 2003 and earlier, is that other than a RAID solution, there s no protection from failure of the disks containing the database files and/or the cluster quorum resource, discussed shortly. Further, typical clustering solutions don t offer protection from geographic disasters that is, if all clustered servers exist in a single location, the destruction of that location will result in an outage. Although multisite clusters and the new Windows Server 2008 quorum models (discussed shortly) address these limitations, it s a common practice to combine multiple high-availability solutions to deliver the advantages of each while minimizing the individual limitations. For example, important databases within a clustered SQL Server instance can be mirrored to an offsite location for geographic (and disk) protection. We ll cover such combinations in more detail in chapter 11.

A SQL Server failover clustering instance is installed on, and in some ways is constrained by, the underlying Windows cluster. Although Windows Server 2003 and earlier had a solid and full-featured clustering solution, there were a number of limitations that constrained the configuration of the installed SQL Server failover clustering instances. The SQL Server 2008 release was preceded by the release of Windows Server 2008, bringing with it a substantial improvement in the clustering options. In comparison to Windows Server 2003, the clustering improvements in Windows Server 2008 include the following: An enhanced validation test, as shown in figure 5.2, which can be used to ensure the validity of the hardware and software components in forming a cluster Support for IPv6 and up to 16 cluster servers (increased from 8)

Figure 5.2 Use the Windows Server 2008 Validate a Configuration Wizard to ensure the validity of the cluster components.

The ability of cluster servers to obtain IP addresses via DHCP Support for new quorum models, used to determine the number of failures a cluster can sustain while still operating Apart from the enhanced validation and management tools, the increase in supported server nodes and relaxed networking restrictions enables the creation of much more flexible clustering solutions, making Windows Server 2008 the best server operating system for a clustered SQL Server 2008 deployment. Further enhancing its appeal are the improved quorum models.

Failover Cluster Configuration Program (FCCP)

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