Partition boundary determination using random sampling on very large databases

摘要

A system and method utilizing random sampling for partition analysis on very large databases. The method utilizes a random sampling algorithm that provides results accurate to within a few percentage points for large homogeneous databases. The accuracy is not affected by the size of the database and is determined primarily by the size of the sample. The system and method for approximate partition analysis reduces the time required for an analysis to a fraction of the time required for an exact analysis. The reduction in time thereby permits more frequent and timely analyses of database partition sizes.