| Y. Wu, J. M. Patel, and H. V. Jagadish. Structural join order selection for XML query optimization. In Proc. ICDE Conf., Mar. 2003. |
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Y. Wu, J. M. Patel, and H. V. Jagadish. Structural join order selection for XML query optimization. In Proc. ICDE Conf., Mar. 2003.
....addressed include the complex and variable structure of trees in a set, and issues of ordering. Once a query has been parsed into an algebraic representation, this algebraic expression is manipulated by a query optimizer, which then chooses an appropriate query plan to evaluate the query. In [9] we point out some key differences for XML query optimization vis a vis relational optimization. Cost based query optimization requires good size estimates for both intermediate and final query results. Due to the complex struc # University of Michigan, contact: spapariz, shurug, apchapma, ....
Y. Wu, J. M. Patel, and H. V. Jagadish. Structural join order selection for XML query optimization. In Proc. ICDE Conf., Mar. 2003.
....u. Each of these subpatterns has less than n edges. By the inductive assumption, there is a pipelined plan for the first sub pattern with results ordered by r and a pipelined plan for the second sub pattern with results ordered by the neighbor node u. For full details on this topic, please see [61]. Algorithm FP Optimization (PatternTree) Inputs: The query pattern to be evaluated, Output: Processing tree to evaluate the query. minCost = For (each node V i in P atternTree) cost = FP OrderBy(PatternTree, V i , joinplan) if (cost minCost) minCost = cost; JoinPlan = joinplan; ....
Y. Wu, H.V. Jagadish (2003) Structural join order selection for XML query optimization In: Proc. ICDE Conf., Bangalore, India, March (to appear)
....Each of these sub patterns has less than edges. By the inductive assumption, there is a pipelined plan for the first subpattern with results ordered by and a pipelined plan for the second sub pattern with results ordered by the neighbor node . For full details on this topic, please see [56]. Algorithm FP Optimization ( 4dD E u Inputs: The query pattern to be evaluated, Output: Processing tree to evaluate the query. c Z For (each node in 4d E 5Du cost 4D E 5Du 580 51510 if ( Z c Z c Z Z Z c 4G[ Z c [ output( 230 48890 Algorithm FP ....
Yuqing Wu and H. V. Jagadish. Structural Join Order Selection for XML Query Optimization In Proc. ICDE Conf., Bangalore, India, Mar. 2003.
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Y. Wu et.al. Structural Join Order Selection for XML Query Optimization. In Proc. of ICDE, 2003.
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Y. Wu, J. M. Patel, and H. V. Jagadish. Structural join order selection for XML query optimization. In Proceedings of ICDE 2003.
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Y. Wu et al. Structural Join Order Selection for XML Query Optimization. ICDE 2003. To appear.
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Y. Wu, J.M. Patel, and H.V. Jagadish. Structural join order selection for xml query optimization. In 19th Inf. Conf. on Data Engineering (ICDE'03), pages 443--454, Bangalore, March 2003.
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Y. Wu, J. M. Patel, and H. V. Jagadish. Structural join order selection for XML query optimization. In ICDE, pages 443--454, March 2003.
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Yuqing Wu, Jignesh M. Patel, and H.V. Jagadish. Structural Join Order Selection for XML Query Optimization. In Proceedings of the 19th International Conference on Data Engineering (ICDE), 2003.
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