The LDBC Social Network Benchmark
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.
Keywords
Cite
@article{arxiv.2001.02299,
title = {The LDBC Social Network Benchmark},
author = {Renzo Angles and János Benjamin Antal and Alex Averbuch and Altan Birler and Peter Boncz and Márton Búr and Orri Erling and Andrey Gubichev and Vlad Haprian and Moritz Kaufmann and Josep Lluís Larriba Pey and Norbert Martínez and József Marton and Marcus Paradies and Minh-Duc Pham and Arnau Prat-Pérez and David Püroja and Mirko Spasić and Benjamin A. Steer and Dávid Szakállas and Gábor Szárnyas and Jack Waudby and Mingxi Wu and Yuchen Zhang},
journal= {arXiv preprint arXiv:2001.02299},
year = {2024}
}
Comments
For the repository containing the source code of this technical report, see https://github.com/ldbc/ldbc_snb_docs