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http://hdl.handle.net/1942/18315| Title: | Gumbo: Guarded Fragment Queries over Big Data | Authors: | DAENEN, Jonny NEVEN, Frank TAN, Tony |
Issue Date: | 2015 | Source: | Extending Database Technology, Brussels, 23-27 March 2015 | 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. | Keywords: | MapReduce; Hadoop; Spark; Guarded-fragment Queries | Document URI: | http://hdl.handle.net/1942/18315 | Rights: | © 2015, Copyright is with the authors. Published in Proc. 18th International Conference on Extending Database Technology (EDBT), March 23-27, 2015, Brussels, Belgium: ISBN 978-3-89318-067-7, on OpenProceedings.org. Distribution of this paper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0 | Category: | C2 | Type: | Conference Material |
| Appears in Collections: | Research publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| gumbo-demo.pdf | Conference material | 246.01 kB | Adobe PDF | View/Open |
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