Gumbo: Guarded Fragment Queries over Big Data.
Journal
Proceedings of the 18th International Conference on Extending Database Technology, EDBT 2015, Brussels, Belgium, March 23-27, 2015.
Pages
521-524
Date Issued
2015
Author(s)
Daenen, Jonny
Neven, Frank
TONY TAN
Abstract
We present Gumbo, a system for the efficient 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.
SDGs
Type
conference paper