Bi-gram cardinality estimation in a graph database

Abstract

A method and apparatus for estimating the cardinality of graph pattern queries using graph statistics and metadata is presented. In various embodiments, node and edge labels are used to compute estimates for graph patterns (bi-grams) and the estimates for these patterns as composed to provide cardinality estimates of longer paths. The computation of bi-grams is low cost and requires only minimal changes to the existing query planner in the existing database machinery to be useful. The resulting estimates are used during query execution to minimize the amount of work needed to complete a query and return a faithful and accurate answer method.

Dr. Jim Webber
Dr. Jim Webber
Chief Scientist

I’m a computer scientist interested in fault-tolerance for graph databases.

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