Estimating block selectivities

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In many data base performance studies there is a need to estimate the number of records of a file which qualify in a query, as well as the number of blocks of secondary storage which contain these records. In this paper we present a model of data base contents and data placement on devices. We extend a multivariate statistical model that was used for the estimation of record selectivities in [5] to model the distribution of records that qualify in a query among the blocks of secondary storage. Then we show how to obtain estimates of block selectivities and we compare our estimates with the estimates of previous models.

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论文评审过程:Received 15 November 1982, Revised 27 April 1983, Available online 10 June 2003.

论文官网地址:https://doi.org/10.1016/0306-4379(84)90017-6