PBiTree Coding and Efficient Processing of Containment Joins

This paper addresses issues related to containment join processing in tree-structured data such as XML documents. A containment join takes two sets of XML node elements as input and returns pairs of elements such that the containment relationship holds between them. While there are previous algorithms for processing containment joins, they require both element sets either sorted or indexed. This paper proposes a novel and complete containment query processing framework based on a new coding scheme, PBiTree code. The PBiTree code allows us to determine the ancestor-descendant relationship between two elements from their PBiTree-based codes efficiently. We present algorithms in the framework that are optimized for various combinations of settings. In particular, the newly proposed partitioning based algorithms can process containment joins efficiently without sorting or indexes. Experimental results indicate that the containment join processing algorithms based on the proposed coding sc...

• Type: Conference
• Year: 2003
• Where: ICDE
• Authors: Wei Wang 0011, Haifeng Jiang, Hongjun Lu, Jeffrey Xu Yu
• Keywords: Containment Join Processing, Containment Joins, Containment Query Processing, Database, ICDE 2003