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Hybrid Index Structure Based on B+ Tree

Chen Haoa

Open publisher page 1 citations

Abstract

Considering the numerical attribute data's cross-data range retrieval needs for the files that have the property of character and number,a 2-layer hybrid index structure based on B+ tree is proposed.That data in the files is classified according to their types in the process of creating index,the first layer sets up a B+ tree index structure for the attribute of the data and the second layer constructs different index structure according to the different types of data.Experimental results show that the hybrid index structure not only adapts to the above retrieval needs,but also effectively improves the index creation speed and the space utilization.

About this research paper

What this paper is about

Considering the numerical attribute data's cross-data range retrieval needs for the files that have the property of character and number,a 2-layer hybrid index structure based on B+ tree is proposed.That data in the files is classified according to their types in the process of creating index,the first layer sets up a B+ tree index structure for the attribute of the data and the second layer constructs different index structure according to the different types of data.Experimental results show that the hybrid index structure not only adapts to the above retrieval needs,but also effectively improves the index creation speed and the space utilization.

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Available abstract

Considering the numerical attribute data's cross-data range retrieval needs for the files that have the property of character and number,a 2-layer hybrid index structure based on B+ tree is proposed.That data in the files is classified according to their types in the process of creating index,the first layer sets up a B+ tree index structure for the attribute of the data and the second layer constructs different index structure according to the different types of data.Experimental results show that the hybrid index structure not only adapts to the above retrieval needs,but also effectively improves the index creation speed and the space utilization.

Key concepts: Computer science, B-tree, Index (typography), Tree (set theory), Data mining, Data structure, Layer (electronics), Range (aeronautics)

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