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A stretch cluster can be deployed as a disaster recovery solution if each site has its own storage that performs the replication between the sites. This deployment guarantees that, in the event of the loss of one site, remaining sites can continue to operate and the database will remain available, which is important for many 24-7 systems. The obvious benefit of a stretch cluster is that all nodes contribute resources to the production system. The main disadvantage is that a very fast and possibly expensive network must exist between the sites, as the cluster nodes require a fast interconnect network, and the data storage must be replicated between nodes. While node affinity is vastly improved in Oracle 10.2, nodes will still need to communicate with each other to synchronize access to resources using global enqueues. From a network point of view, storage-level replication is much less efficient than Data Guard. Consider a transaction that updates a single row. Data Guard will only transmit the redo for the transaction, which consists of the changes made to the row, plus the undo required to reverse the changes. In the case of a small change, this transmission will not amount to more than 200 bytes. However, if replication is performed at the storage level, all affected blocks will be replicated, including blocks from the online redo log, datafiles, undo segment headers, undo blocks, and the archived redo log. Thus, a minimum of five block changes will be transmitted across to storage at the remote site. Consequently, in a stretch cluster the latency of the network between the sites is the vital limiting factor. Despite increasing interest in new technologies, such as InfiniBand, at the time of this writing, it is still extremely rare to encounter stretch clusters in production.

Many sites implement reporting systems that are physically separated from the production database. While not strictly necessary in a RAC environment, a reporting system can act as a useful validation tool to test the backup and recovery procedure if it is built from a backup copy of the database. Alternatively, the reporting system can be built as a physical or logical standby database, thereby validating the disaster recovery capability when this function is tested on a regular basis.

Tip If you reach the point where you keep getting an error similar to Figure 9-7, take a deep breath, take

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Compared to the cost of other RAC components, including the storage and the RAC licenses, server hardware is relatively inexpensive. This comparison changes the cost models that systems traditionally operate under. When you are designing your RAC cluster, you should consider whether to carry a stock of spare servers, which can be quickly swapped into the cluster in event of a node failure. We recommend that you obtain quotes for hardware maintenance contracts at different service levels and compare these to the costs of purchasing hot spares. If you purchase a maintenance contract, remember that it may not be possible for a component in a failed server to be replaced immediately. A replacement server supphed by the maintenance company will need to be built, either with a standard operating system image or manually, before it can be added to the cluster. On the other hand, if you have a spare server in stock, it can be prepared in advance. Having a prebuilt spare on hand will save critical time during an outage, since it can be provisioned much more quickly than a system built from scratch. If you do carry a spare server, ensure that it contains all the correct components, including CPU, memory, and network and fiber cards. If you need to borrow components from the spare server for the live cluster, ensure that these are replaced and retested as soon as possible. If you follow good change control policies, you will ensure that the spare server is quickly restocked for parts and ready to be provisioned on short notice in case of a failure of the production system.

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