Call For Paper Volume:4 Issue:8 Aug'2017 |

A Survey on Iceberg Query Evaluation strategies

Publication Date : 10/07/2015



Author(s) :

Kale Sarika Prakash , P.M.J.Prathap.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

Extracting small set of data from large or huge database is a challenge in front of data warehouse (DW) systems. The queries typically executed on data warehouse is of the nature aggregation function followed by having clause. The queries which are having this type of nature are called as Iceberg(IB) queries. Present database system execute it just like normal query so it take more time to execute. It is challenging task to extract interesting and important information quickly from huge database. Lots of research has been done to increase the speed of IB query .Initially researchers uses tuple scan approach to execute IB query which is time consuming and require more memory . To overcome these problems researchers proposed IB query evaluation using Bitmap Indexing techniques. This technique avoid complete table scan so time required to execute IB query is reduced and memory requirement is also reduced. But these techniques suffer from empty Bitwise AND operation and Bitwise XOR operation. This affects the performance of IB query. The challenge in front of current researcher in this field is to overcome the drawback of IB query evaluation using Bitmap Indexing techniques .In our research by using preprocessing of bitmap vector we are trying to overcome problems occurred in previous research.


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