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Depending upon the value of the data, the redundant copy or copies may even be stored in a different datacenter. Automated offline backup may still be employed to recover from application, administrative, or user error. However, recovery from most common errors and failures is a rapid failover to a redundant online copy. , by web servers or application servers). , [55]). Higher up in the deployment stack, many object-oriented application-server architectures, supporting programming models like Enterprise Java Beans, can be configured to do transactional caching of application objects in concert with a DBMS.

After spending months tuning the database design and settings, the DBA does not want the optimizer to change it unpredictably. By contrast, Microsoft strategically entered the database market at the low end. As a result, their customers tend to have lower IT budgets and expertise, and want the DBMS to “tune itself” as much as possible. Over time these companies’ business strategies and customer bases have converged so that they compete directly, and their approaches are evolving together. Microsoft has high-scale enterprise customers that want complete control and query plan stability.

Good partitioning of the data is required, however, for good performance. This places a significant burden on the Database Administrator (DBA) to lay out tables intelligently, and on the query optimizer to do a good job partitioning the workload. This simple partitioning solution does not handle all issues in the DBMS. For example, explicit cross-processor coordination must take place to handle transaction completion, provide load balancing, and support certain maintenance tasks. For example, the processors must exchange explicit control messages for issues like distributed deadlock detection and two-phase commit [30].

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