Performance of OLAP queries becomes a critical issue as the amount of data in the data warehouses increases rapidly. To solve this performance issue, we proposed a high performance database cluster system called HyperDB in which many PCs can be mobilized for excellent performance. In HyperDB, an OLAP query can be decomposed into sub-queries, and each of the sub-queries can be processed independently on a PC in a short time. But if an OLAP query has nested form (i.e., nested SQL), it could not be decomposed into sub-queries. In this paper, we propose a parallel distributed query processing algorithm for nested queries in HyperDB system. Traditionally, parallel distributed processing of nested queries is known as a difficult problem in the database area. © 2011 Springer-Verlag.
CITATION STYLE
Kang, Y. J., Choi, C. H., Yang, K. E., Kim, H. G., & Cho, W. S. (2011). An efficient nested query processing for distributed database systems. In Communications in Computer and Information Science (Vol. 206 CCIS, pp. 669–676). https://doi.org/10.1007/978-3-642-24106-2_85
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