The LDBC Social Network Benchmark

The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For this, LDBC SNB uses the recognizable scenario of operating a social network, characterized by its graph-shaped data....

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Veröffentlicht in:	arXiv.org 2024-09
Hauptverfasser:	Angles, Renzo, Antal, János Benjamin, Averbuch, Alex, Birler, Altan, Boncz, Peter, Búr, Márton, Orri Erling, Gubichev, Andrey, Haprian, Vlad, Kaufmann, Moritz, Josep Lluís Larriba Pey, Martínez, Norbert, Marton, József, Paradies, Marcus, Minh-Duc Pham, Prat-Pérez, Arnau, Püroja, David, Spasić, Mirko, Steer, Benjamin A, Szakállas, Dávid, Szárnyas, Gábor, Waudby, Jack, Wu, Mingxi, Zhang, Yuchen
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmarks Business intelligence Data management Information management Intelligence (information) Queries Social networks Workload Workloads
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For this, LDBC SNB uses the recognizable scenario of operating a social network, characterized by its graph-shaped data. LDBC SNB consists of two workloads that focus on different functionalities: the Interactive workload (interactive transactional queries) and the Business Intelligence workload (analytical queries). This document contains the definition of both workloads. This includes a detailed explanation of the data used in the LDBC SNB, a detailed description for all queries, and instructions on how to generate the data and run the benchmark with the provided software.
ISSN:	2331-8422