当前位置: X-MOL 学术arXiv.cs.DB › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The LDBC Social Network Benchmark
arXiv - CS - Databases Pub Date : 2020-01-07 , DOI: arxiv-2001.02299
Renzo Angles, J\'anos Benjamin Antal, Alex Averbuch, Peter Boncz, Orri Erling, Andrey Gubichev, Vlad Haprian, Moritz Kaufmann, Josep Llu\'is Larriba Pey, Norbert Mart\'inez, J\'ozsef Marton, Marcus Paradies, Minh-Duc Pham, Arnau Prat-P\'erez, Mirko Spasi\'c, Benjamin A. Steer, G\'abor Sz\'arnyas and Jack Waudby

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 the Interactive Workload and the first draft of the Business Intelligence Workload. This includes a detailed explanation of the data used in the LDBC SNB benchmark, a detailed description for all queries, and instructions on how to generate the data and run the benchmark with the provided software.

中文翻译:

LDBC 社交网络基准

关联数据基准委员会的社交网络基准 (LDBC SNB) 旨在测试用于类图数据管理的系统的各种功能。为此,LDBC SNB 使用可识别的社交网络运营场景,其特点是其图形数据。LDBC SNB 由两个专注于不同功能的工作负载组成:交互式工作负载(交互式事务查询)和商业智能工作负载(分析查询)。本文档包含交互式工作负载的定义和商业智能工作负载的初稿。这包括对 LDBC SNB 基准测试中使用的数据的详细说明、所有查询的详细说明以及有关如何使用提供的软件生成数据和运行基准测试的说明。
更新日期:2020-01-09
down
wechat
bug