Enhancing pre-existing data managers with atomicity and durability
Many of currently available managers of persistent data do not provide support for updates that are atomic and durable. Developing from scratch the requisite software for incorporating the atomicity and durability properties into each of these pre-existing data managers is a time-consuming and formidable task. It is hence desirable to design and build a general purpose recovery manager that can be easily interfaced with pre-existing data managers. In this paper, we consider four recovery manager architectures that are based on recovery algorithms proposed in the literature and recovery designs adopted in existing products. We evaluate the various architectures with respect to 1) the extent of the modifications they cause to the software of pre-existing data managers, and 2) the degree to which they affect the performance of the data managers. Finally, we relate the experience we had in integrating a spatial data manager with a general purpose recovery manager.
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