Классика баз данных - статьи

       

Литература


  • P.G. Selinger, M.M. Astrahan, D.D. Chamberlin, R.A. Lorie, T.G. Price, "Access Path Selection in a Relational Database Management System", Proceedings of the ACM SIGMOD International Conference on Management of Data, Boston, MA, May 1979, ACM, New York (1979).
  • A. Van Gelder, "Multiple Join Size Estimation by Virtual Domains", Proceedings of the Twelfth ACM Symposium on Principles of Database Systems (1993 May).
  • A.N. Swami, K.B. Schiefer, "On the Estimation of Join Result Sizes", 4th International Conference on Extending Database Technology (1994 March).
  • R. Ahad, K.V.B. Rao, D. McLeod, "On Estimating the Cardinality of the Projection of a Database Relation", ACM Transactions on Database Systems 14, 1989, No. 1.
  • C. Lynch, "Selectivity Estimation and Query Optimization in Large Databases with Highly Skewed Distributions of Column Values", Proceedings of the 14th International Conference on Very Large Databases (1988 August).
  • Y.E. Ioannidis, S. Christodoulakis, "On the Propagation of Errors in the Size of Join Results", Proceedings of the ACM SIGMOD International Conference on Management of Data, Denver, CO, 1991 May, ACM, New York (1991).
  • V. Poosala, Y. Ioannidis, P. Haas, E. Shekita, "Improved Histograms for Selectivity Estimation of Range Predicates", Proceedings of the ACM SIGMOD International Conference on Management of Data, Montreal, Canada, June 1996, ACM, New York (1996).
  • V. Poosala, Y. Ioannidis, "Selectivity Estimation Without the Attribute Value Independence Assumption", Proceedings of the 23rd International Conference on Very Large Databases (VLDB 1997).
  • P. Haas, J. Naughton, S. Seshadri, and A. Swami, Selectivity and Cost Estimation for Joins Based on Random Sampling, Research Report RJ-9577, IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598 (1993).
  • T. Urhan, M. J. Franklin, L. Amsaleg, "Cost-Based Query Scrambling for Initial Delays", Proceedings of the ACM SIGMOD International Conference on Management of Data, Seattle, WA, June 1998, ACM, New York (1998).
  • M.

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