1. The LDBC Social Network Benchmark
- Author
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Angles, Renzo, Antal, János Benjamin, Averbuch, Alex, Birler, Altan, Boncz, Peter, Búr, Márton, Erling, Orri, Gubichev, Andrey, Haprian, Vlad, Kaufmann, Moritz, Pey, Josep Lluís Larriba, Martínez, Norbert, Marton, József, Paradies, Marcus, Pham, Minh-Duc, Prat-Pérez, Arnau, Püroja, David, Spasić, Mirko, Steer, Benjamin A., Szakállas, Dávid, Szárnyas, Gábor, Waudby, Jack, Wu, Mingxi, and Zhang, Yuchen
- Subjects
Computer Science - Databases ,Computer Science - Performance ,Computer Science - Social and Information Networks ,H.2.4 - Abstract
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., Comment: For the repository containing the source code of this technical report, see https://github.com/ldbc/ldbc_snb_docs
- Published
- 2020