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Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark. (arXiv:2210.07143v1 [cs.DB])
cs.LG updates on arXiv.org arxiv.org
Access plan recommendation is a query optimization approach that executes new
queries using prior created query execution plans (QEPs). The query optimizer
divides the query space into clusters in the mentioned method. However,
traditional clustering algorithms take a significant amount of execution time
for clustering such large datasets. The MapReduce distributed computing model
provides efficient solutions for storing and processing vast quantities of
data. Apache Spark and Apache Hadoop frameworks are used in the present
investigation to cluster different sizes …
apache apache hadoop apache spark arxiv evaluation hadoop performance query recommendation spark