INDEX-BASED JOIN IN MAPREDUCE USING HADOOP MAPFILES

Autor: Hassan Najadat, Mohammed Al Rudaini, Amer Al Badarneh, Faisal Ali
Rok vydání: 2017
Předmět:
Zdroj: MATTER: International Journal of Science and Technology. 2:200-213
ISSN: 2454-5880
DOI: 10.20319/mijst.2016.s21.200213
Popis: Map Reduce stays an important method that deals with semi-structured or unstructured big data files, however, querying data mostly needs a Join procedure to accumulate the desired result from multiple huge files. Indexing in another hand, remains the best way to ease the access to a specific record(s) in a timely manner. In this paper, the authors are investigating the performance gain by implementing Map File indexing and Join algorithms together. Article DOI: https://dx.doi.org/10.20319/mijst.2016.s21.200213 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
Databáze: OpenAIRE