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Research and Implementation on Query Optimization Based on Data Partition in Massive Data Management

Author: HouZuo
Tutor: JiaYan
School: National University of Defense Science and Technology
Course: Computer Science and Technology
Keywords: Massive Data Mangement Middleware Query Optimization Data Partition
CLC: TP311.13
Type: Master's thesis
Year: 2007
Downloads: 373
Quote: 3
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With the rapid development of modern science and information technology, applications in network environment keep on growing. More and more applications present characteristics such as huge data amount and consistent writing data flow. The huge amount of data makes the traditional queries often inefficient. Based on the current soft-and-hardware environment, we propose a better solution for query optimization specialized in query request of massive data. This article’s main jobs is:1. Compared and analyzed the advantage and disadvantage of the solution for queryoptimization of massive data, and the suitable situation of the solution.2. Propose a query optimization method for massive Data based on Multi-dimensionalData Partition. This method partitions the data in a table in multi-dimension, changes the storage mode and optimizes the query performance on massive databases.3. By implementing this method base on the parallel query middleware, we bring forwarda method of data partition, in order to reduce the scanning data size of query request and win the ability of the highest efficiency.4. Based on the method of Data Partition, further research on parallel query and queryoptimization for improve entity query performance of the whole system.5. Finally, we verify its feasibility and efficiency by experiment.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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