Dataflow query execution in a parallel main-memory environment

@article{citeulike:1933460, abstract = {In this paper, the performance and characteristics of the execution of various join-trees on a parallel DBMS are studied. The results of this study are a step into the direction of the design of a query optimization strategy that is fit for parallel execution of complex queries.}, author = {Wilschut, Annita N. and Apers, Peter M. }, citeulike-article-id = {1933460}, doi = {10.1007/BF01277522}, journal = {Distributed and Parallel Databases}, keywords = {algorithm, dbms, join, query}, month = {January}, number = {1}, pages = {103--128}, posted-at = {2007-12-17 21:06:15}, priority = {5}, title = {Dataflow query execution in a parallel main-memory environment}, url = {http://dx.doi.org/10.1007/BF01277522}, volume = {1}, year = {1993} }

TY - JOUR ID - citeulike:1933460 L3 - citeulike-article-id:1933460 TI - Dataflow query execution in a parallel main-memory environment JF - Distributed and Parallel Databases VL - 1 IS - 1 SP - 103 EP - 128 N2 - In this paper, the performance and characteristics of the execution of various join-trees on a parallel DBMS are studied. The results of this study are a step into the direction of the design of a query optimization strategy that is fit for parallel execution of complex queries. KW - algorithm KW - dbms KW - join KW - query AU - Wilschut, Annita AU - Apers, Peter PY - 1993/01/01/ UR - http://dx.doi.org/10.1007/BF01277522 ER -