In this paper, we propose a scalable optimizer for SQL queries using MapReduce, named SOSQL. Experiments performed on Google Cloud Platform confirmed the ...
[PDF] Scalable Query Optimization for Efficient Data Processing using ...
web.njit.edu › bigdata_2015
In this paper, we propose a scalable optimizer for SQL queries using MapReduce, named SOSQL. Experiments performed on Google Cloud Platform confirmed the ...
[44] Based on a comprehensive evaluation of SOSQL, a scalable SQL query optimizer was proposed utilizing the standard TPC-H dataset along with the Google Cloud ...
3.2 Query Optimization in MapReduce. The intuition of AQUA is to adjust a query plan to improve the performance of large-scale data analysis jobs in MapReduce.
Jun 1, 2021 · This paper has applied and tested a model for clustering variant sizes of large query datasets parallelly using MapReduce.
A query optimization scheme for MapReduce-based query processing systems by embedding into Hive a query optimizer which is designed to generate an efficient ...
With MapReduce, the developer gets various cumbersome tasks of distributed programming for free without the need to write any code; indicative exam- ples ...
MapReduce has recently emerged as a new paradigm for large-scale data analysis due to its high scalability, fine-grained fault tolerance and easy ...
People also ask
What are the three components of query optimization?
What is optimization in query processing?
Bibliographic details on Scalable Query Optimization for Efficient Data Processing Using MapReduce.
An efficient and scalable SPARQL query processing framework for big data using MapReduce and hybrid optimum load balancing ... optimization for accessing the RDF ...