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Query Optimization Strategies Using Probability Distributions and Histograms

This research explores optimal ordering in selection predicates with correlations, utilizing learned probability distributions and histogram data for join order optimization. It discusses the impact of accurate statistics on query plans and the role of multidimensional histograms in improving query performance.

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Query Optimization Strategies Using Probability Distributions and Histograms

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  1. What I am doing Amol Deshpande

  2. Selection Ordering • Given a set of selection predicates and correlations between them, find the optimal ordering : • Not known if solvable • Relation to eddies • Correlated predicates • What kinds of probability distributions to learn ? • Using such learned probability distributions • Extensions to join order optimization

  3. Statistics for Query Optimization • Histograms : • Multidimensional histograms • Using histograms (or other summary statistics) to compute intermediate result sizes optimally • Effect of more accurate statistics on the query plan chosen

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