Ten Thousand SQLs: Parallel Keyword Queries Computing

Keyword search in relational databases has been extensively studied. Given a relational database, a keyword query finds a set of interconnected tuple structures connected by foreign key references. On rdbms, a keyword query is processed in two steps, namely, candidate networks (CNs) generation and CNs evaluation, where a CN is an sql. In common, a keyword query needs to be processed using over 10,000 sqls. There are several approaches to process a keyword query on rdbms, but there is a limit to achieve high performance on a uniprocessor architecture. In this paper, we study parallel computing keyword queries on a multicore architecture. We give three observations on keyword query computing, namely, a large number of sqls that needs to be processed, high sharing possibility among sqls, and large intermediate results with small number of final results. All make it challenging for parallel keyword queries computing. We investigate three approaches. We first study the query level paral...

• Type: Journal
• Year: 2010
• Where: PVLDB
• Authors: Lu Qin, Jefferey Yu, Lijun Chang
• Keywords: PVLDB 2010