2021-06-20
LSQB: A large-scale subgraph query benchmark
Publication
Publication
We introduce LSQB, a new large-scale subgraph query benchmark. LSQB tests the performance of database management systems on an important class of subgraph queries overlooked by existing benchmarks. Matching a labelled structural graph pattern, referred to as subgraph matching, is the focus of LSQB. In relational terms, the benchmark tests DBMSs' join performance as a choke-point since subgraph matching is equivalent to multi-way joins between base Vertex and base Edge tables on ID attributes. The benchmark focuses on read-heavy workloads by relying on global queries which have been ignored by prior benchmarks. Global queries, also referred to as unseeded queries, are a type of queries that are only constrained by labels on the query vertices and edges. LSQB contains a total of nine queries and leverages the LDBC social network data generator for scalability. The benchmark gained both academic and industrial interest and is used internally by 5+ different vendors.
| Additional Metadata | |
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| doi.org/10.1145/3461837.3464516 | |
| Structure-aware Querying & Information Retrieval on Evolving Large Graphs | |
| 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) | |
| Organisation | Database Architectures |
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Mhedhbi, A., Lissandrini, M., Kuiper, L., Waudby, J., & Szárnyas, G. (2021). LSQB: A large-scale subgraph query benchmark. In Proceedings of the ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (pp. 8.1–8.11). doi:10.1145/3461837.3464516 |
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