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Query processing and file management issues in partitioned databases (abstract)

This study reviews the database partitioning techniques and elaborates on features of storage organization from efficiency and query processing standpoints. Methods for static files have excellent utilization records but require variable number of disk accesses, are prone to overflows, and may need re-organization when changes are made. Dynamic file schemes with directories have good retrieval query performance but tend to achieve low storage utilization, suffer from growing directory, and may propagate the effects of an update to several regions and possibly all the way up to the highest level directory.
Partitioning very large databases has become an intense research area over the last few years. The characteristics of partitioned file organizations have profound effects on the efficiency of query processing and database updates.
We have identified two main partitioning methodologies: static and dynamic files. While with static files we can achieve good utilization, they result in variable disk accesses per query and need frequent file reorganizations due to updates. As with the dynamic files we can achieve constant number of disk accesses for all queries at the expense of relatively low utilization (for uniform as well as non-uniform data distributions), directory sizes may grow fast, and handling of updates efficiently in extreme cases may be difficult.
To this date very few has been researched in the area of updates of partitioned file organizations. However, as can be seen in our discussions there are important problems awaiting to be tackled in this area especially with respect to directory structures.