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Adaptive Multi-join Query Processing in PDBMS

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4 Author(s)
Sai Wu ; Sch. of Comput., Nat. Univ. of Singapore, Singapore ; Quang Hieu Vu ; Jianzhong Li ; Kian-Lee Tan

Traditionally, distributed databases assume that the (small) set of nodes participating in a query is known apriori, the data is well placed, and the statistics are readily available. However, these assumptions are no longer valid in a peer-based database management system (PDBMS). As such, it is a challenge to process and optimize queries in a PDBMS. In this paper, we present our distributed solution to this problem for multi-way join queries. Our approach first processes a multi-way join query based on an initial query evaluation plan (generated using statistical data that may be obsolete or inaccurate); as the query is being processed, statistics obtained on-the-fly are used to (continuously) refine the current plan dynamically into a more effective one. We have conducted an extensive performance study which shows that our adaptive query processing strategy can reduce the network traffic significantly.

Published in:

Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on

Date of Conference:

March 29 2009-April 2 2009