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Parallel implementation of Skyline Queries Computation in Map-Reduce systems

Java 100.00%

skyline-query hadoop-mapreduce block nested loop

skyline_queries_hadoop's Introduction

Skyline Queries with Hadoop MapReduce

In the context of "Advanced Topics in Database Systems" course Technical University of Crete

Input files available here

https://www.dropbox.com/sh/wygdm7v9ex3avaf/AACNpEUHhjYQ2k0yNJ3rUbB4a?dl=0

To execute with jar type

hadoop jar JarName.jar input_file_1X.csv OutputFileName.csv NumberOfPartions random/angle Dimensions

Examples

hadoop jar Sky.jar input_file_1000.csv Skyline.csv 9 random 2
hadoop jar Sky.jar input_file_1000.csv Skyline.csv 6 random 2
hadoop jar Sky.jar input_file_1000.csv Skyline.csv 3 angle 2
hadoop jar Sky.jar input_file_10000.csv Skyline.csv 9 angle 3
hadoop jar Sky.jar FullPath\input_file_1000.csv FullPath\Skyline.csv 9 random 3

Angle based partitioning supports only 9 way partitioning at 3 dimensions.

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