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however, it is quite possible that some of these devices will maintain a local data store using SQL Server Compact Edition and are only periodically connected to the network, at which time changes are synchronized with the publisher. Traditionally, merge replication has allowed advanced conflict detection and processing. This is changing somewhat with SQL Server 2008, as advanced conflict detection can now be programmed within peer-to-peer transaction replication.

Transaction replication is typically used when replicating data between servers. Transaction replication is also the preferred method for replicating large amounts of data or when very low latency between the publisher and subscriber is required. Transaction replication is capable of functioning when the publisher or subscriber is a non-SQL Server database, such as Oracle. Transaction replication can be configured with a number of different publication types, one of which is peer-to-peer transactional replication. In peer-to-peer replication, data can be maintained across a number of servers, or nodes, within the replication topology. Although transaction replication is typically used to scale out read-intensive applications, it is also possible for updates to take place within each node in the topology. Traditionally, it has been very important to avoid conflicts for peer-to-peer replication by ensuring that the same record could not be updated on many nodes at the same time. Although it is still important to ensure that conflicts don t occur, SQL Server 2008 introduces the ability to perform conflict detection within a peer-to-peer topology. When a conflict is detected within the topology, the Distribution Agent will report a critical error, and the conflict will need to be handled manually before the topology returns to a consistent state. Although not ideal, this solution does provide an extra layer of protection by ensuring that transactions are not lost as a result of conflicts within a peer-to-peer topology. A new Peer-to-Peer Topology Wizard makes the configuration of peer-to-peer topologies ridiculously easy. Once an initial publication is created on one of the nodes within the topology, you can use the wizard to graphically configure the remaining nodes within the topology, as shown in Figure 4-13.

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The generation of random numbers is too important to be left to chance. Robert R. Coveyou, Oak Ridge National Laboratory

There may be times when replication will make more sense than database mirroring for your data availability needs. For example, if you want a scale-out, read-only reporting solution, peer-to-peer replication is a much better solution than mirroring, since replication can support many peers in its topology. With mirroring, you can have only a single mirror. However, replication does not natively support failover transparently, as mirroring does. You must write your applications in such a way to understand failures in a replicated environment. Plus, replication is at the Data Manipulation Language (DML) level, while mirroring is at the log level, so you may find that mirroring has better performance in certain scenarios. That said, you can combine mirroring and replication. You could replicate the principal using replication or even log shipping. However, this introduces a bunch of complexities that you may not want to deal with. For example, if the principal fails over and then comes back up as the mirror, replication will break, since the database will not be readable.

As mentioned at the beginning of this chapter, we are actually trying to minimize two general flavors of downtime: planned and unplanned. Combinations of the previous technologies can be used to address, and possibly eliminate, unplanned downtime. However, it has generally been accepted that some amount of planned downtime is required. However, increasingly, we are dealing with organizations that have zero tolerance for any type of downtime. Financial organizations are following the sun when it comes to data entry of things like new policies. Medical providers are increasingly leveraging SQL Server for their most mission-critical emergency room systems. This 24 7 business demand is eliminating the typical nightly cycle. The SQL Server product team is helping us address these demands by allowing many operations to be performed while our databases are online and accessible by end users. These include adding a CPU or memory to a running system, as well as performing online index operations and partitioning tables and indexes.

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