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Gumbo: Guarded Fragment Queries over Big Data
Author(s) -
Jonny Daenen,
Frank Neven,
Tony Tan
Publication year - 2015
Language(s) - English
DOI - 10.5441/002/edbt.2015.48
We present Gumbo, a system for the ecient evaluation of guarded fragment queries on top of Hadoop and Spark. A key asset of Gumbo is the reduced number of jobs in comparison with recent systems such as Pig, Hive or Shark. For unnested guarded fragment queries, Gumbo even provides a constant bound on the number of jobs independent of the size of the query. In the demo, we will address the following features of Gumbo: ease-of-use, query plan construction and visualisation, and query execution.

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