SSDBM-Demo
Combining Two Worlds: MonetDB with Multi-Dimensional Index Structure Support
Abstract
Reproducibility and generalizability are important criteria for today's data management society. Hence, stand-alone solutions that work well in isolation, but cannot convince at system level lead to a frustrating user experience. As a consequence, in our demo, we take the step of integrating the multi-dimensional index structure Elf into the main-memory-optimized database management system MonetDB. The overall intention is to show that the stand-alone speed ups of using Elf can also be observed when integrated into a holistic system.
In our prototypical implementation, we demonstrate the performance of an Elf-backed MonetDB on the standard OLAP-benchmark TPC-H and GMQR. Queries can be run live on both benchmarks by the audience, while they are able to create different indexes to accelerate selection performance.
Resources
Demo-Video:
Demop-Slides:
Try it yourself!
You can download the docker container here: Docker
Please follow the instructions in the README.md file and please make sure to use it on a machine with plenty RAM/Disk resources (at least 200GB disk size).
Cite As
Paul Blockhaus, David Broneske, Martin Schäler, Veit Köppen, and Gunter Saake. 2020. Combining Two Worlds: MonetDB with Multi-Dimensional Index Structure Support to Efficiently Query Scientific Data. In 32nd International Conference on Scientific and Statistical Database Management (SSDBM 2020), July 7–9, 2020, Vienna, Austria. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3400903.3401691