Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data

Battle, L.; Eichmann, P.; Angelini, M.; Catarci, T.; Santucci, G.; Zheng, Y.; Binnig, C.; Fekete, J. -D.; Drummer, Moritz

doi:10.1145/3318464.3389732

In this paper, we present a new benchmark to validate the suitability of database systems for interactive visualization workloads. While there exist proposals for evaluating database systems on interactive data exploration workloads, none rely on real user traces for database benchmarking. To this end, our long term goal is to collect user traces that represent workloads with different exploration characteristics. In this paper, we present an initial benchmark that focuses on "crossfilter"-style applications, which are a popular interaction type for data exploration and a particularly demanding scenario for testing database system performance. We make our benchmark materials, including input datasets, interaction sequences, corresponding SQL queries, and analysis code, freely available as a community resource, to foster further research in this area: https://osf.io/9xerb/?view-only=81de1a3f99d04529b6b173a3bd5b4d23.

Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data / Battle, L.; Eichmann, P.; Angelini, M.; Catarci, T.; Santucci, G.; Zheng, Y.; Binnig, C.; Fekete, J. -D.; Drummer, Moritz. - In: PROCEEDINGS - ACM-SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA. - ISSN 0730-8078. - (2020), pp. 1571-1587. ((Intervento presentato al convegno 2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020 tenutosi a Portland; United States [10.1145/3318464.3389732].

Titolo:	Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data
Autori:	Battle L. Eichmann P. ANGELINI, MARCO (Corresponding author) CATARCI, Tiziana (Corresponding author) SANTUCCI, Giuseppe (Corresponding author) ZHENG, YAN (Corresponding author) Binnig C. Fekete J. -D. DRUMMER, MORITZ (Corresponding author) mostra contributor esterni nascondi contributor esterni
Data di pubblicazione:	2020
Rivista:	PROCEEDINGS - ACM-SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA
Citazione:	Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data / Battle, L.; Eichmann, P.; Angelini, M.; Catarci, T.; Santucci, G.; Zheng, Y.; Binnig, C.; Fekete, J. -D.; Drummer, Moritz. - In: PROCEEDINGS - ACM-SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA. - ISSN 0730-8078. - (2020), pp. 1571-1587. ((Intervento presentato al convegno 2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020 tenutosi a Portland; United States [10.1145/3318464.3389732].
Handle:	http://hdl.handle.net/11573/1419396
ISBN:	9781450367356
Appartiene alla tipologia:	04c Atto di convegno in rivista

File allegati a questo prodotto

File	Note	Tipologia	Licenza
Battle_Database_2020.pdf		Versione editoriale (versione pubblicata con il layout dell'editore)	Tutti i diritti riservati (All rights reserved)	Administrator Richiedi una copia

Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/11573/1419396

Citazioni

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Catalogo dei prodotti della ricerca

File allegati a questo prodotto