Oct 26, 2011 · In this paper, we propose a query optimization scheme for MapReduce-based processing systems. Specifically, we embed into Hive a query optimizer ...
People also ask
What is parallel query optimization?
What type of queries benefit from parallel processing?
What are the two major query optimization approaches?
What is dynamic query optimization?
ABSTRACT. MapReduce has been widely recognized as an efficient tool for large-scale data analysis. It achieves high performance by exploit- ing parallelism ...
ABSTRACT. MapReduce has been widely recognized as an efficient tool for large-scale data analysis. It achieves high performance by exploit- ing parallelism ...
Given an SQL query, Hive translates the query into a set of MapReduce jobs sentence by sentence. This design assumes that the user can optimize his query before ...
A query optimization scheme for MapReduce-based query processing systems by embedding into Hive a query optimizer which is designed to generate an efficient ...
Given an SQL query, Hive translates the query into a set of MapReduce jobs sentence by sentence. This design assumes that the user can optimize his query before ...
Massively parallel processing (MPP) enables fast run of the most complex queries operating on large amounts of data. Multiple compute nodes handle all query ...
ABSTRACT. Modern data analytical workloads often need to run queries over a large number of tables. An optimal query plan for such queries is.
Mar 1, 2022 · By systematically exploring a much larger search space, these heuristics provides query plans that are up to 7 times cheaper as compared to the ...
ABSTRACT: Today, due to the rapid development of technology and at the same time, the rapid growth of information, and also, considering that in current ...