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080 _aH004.652.4 DIS
100 _aYu, Min J.
700 _aSheu, Phillip C.-Y.
245 _aAdaptive join algorithms in dynamic distributed databases
336 _2rdacontent
_atexto
_btxt
337 _2rdamedia
_asin mediaciĆ³n
_bn
338 _2rdacarrier
_avolumen
_bnc
505 _aThis paper addresses the problem of query optimization fordynamic databases in distributed environments where data frequently changetheir values. An adaptive query optimization algorithm is proposed toevaluate queries. Rather than constructing a full plan for an access path andexecuting it, the algorithm constructs a partial plan, executes it, updatesthe statistics, and constructs a new partial plan. Since a partial plan isconstructed based on the latest statistics, the algorithm is adaptive to data modifications and errors from the statistics. The algorithm extends the SDD-1algorithm by considering local processing cost as well as communication cost.Whereas the SDD-1 algorithm only uses semi-joins to reduce communication cost,the algorithm reduces it with joins as well. It is proved that the adaptivealgorithm is more efficient than the SDD-1 algorithm.
650 _aDATABASE
650 _aQUERY OPTIMIZATION
650 _aJOIN
650 _aADAPTIVE
773 _tDistributed and parallel databases
_wH004.652.4 DIS
_nS.T.:H004.652.4 DIS PP2670
_g(vol. 5, nro. 1, Jan. 1997), p. 5-30
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999 _c35460
_d35460