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Intra-query Adaptivity for MapReduce Query Processing Systems

Abstract : MapReduce query processing systems translate a query statement into a query plan, consisting of a set of MapReduce jobs to be executed in distributed machines. During query translation, these query systems uniformly allocate computing resources to each job by delegating the same tuning to the entire query plan. However, jobs may implement their own collection of operators, which lead to different usage of computing resources. In this paper we propose an adaptive tuning mechanism that enables setting specific resources to each job within a query plan. Our adaptive mechanism relies on a data structure that maps jobs to tuning codes by analyzing source code and log files. This adaptive mechanism allows delegating specific resources to the query plan at runtime as the data structure hosts specific precomputed tuning codes.
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https://hal.inria.fr/hal-01018087
Contributor : Eduardo Cunha de Almeida <>
Submitted on : Thursday, July 3, 2014 - 3:58:21 PM
Last modification on : Thursday, July 3, 2014 - 4:03:36 PM
Long-term archiving on: : Friday, October 3, 2014 - 11:46:17 AM

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  • HAL Id : hal-01018087, version 1

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Edson Ramiro Lucas Filho, Eduardo Cunha de Almeida, Yves Le Traon. Intra-query Adaptivity for MapReduce Query Processing Systems. IDEAS 2014 : 18th International Database Engineering & Applications Symposium, Jul 2014, Porto, Portugal. ⟨hal-01018087⟩

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