Abstract
The interest for graph databases has increased in the recent years. Several variants of graph query languages exist – from low-level programming interfaces to high-level, declarative languages. In this paper, we describe a novel SQL-based language for modeling high-level graph queries. Our approach is based on graph pattern matching concepts, specifically nested graph conditions with distance constraints, as well as graph algorithms for calculating nested projections, shortest paths and connected components. Extending SQL with graph concepts enables the reuse of syntax elements for arithmetic expressions, aggregates, sorting and limits, and the combination of graph and relational queries. We evaluate the language concepts and our experimental SAP HANA Graph Scale-Out Extension (GSE) prototype (This paper is not official SAP communication material. It discusses a research-only prototype, not an existing or future SAP product. Any business decisions made concerning SAP products should be based on official SAP communication material.) using the LDBC Social Network Benchmark. In this work we consider only complex read-only queries, but the presented language paves the way for a SQL-based graph manipulation language formally based on graph transformations.
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References
Boehm, P., Fonio, H., Habel, A.: Amalgamation of graph transformations: a synchronization mechanism. J. Comput. Syst. Sci. 34(2/3), 377–408 (1987)
Brunel, R., Finis, J., Franz, G., May, N., Kemper, A., Neumann, T., Färber, F.: Supporting hierarchical data in SAP HANA. In: Proceedings of ICDE 2015, pp. 1280–1291. IEEE (2015)
Ehrig, H., Ehrig, K., Habel, A., Pennemann, K.-H.: Constraints and application conditions: from graphs to high-level structures. In: Ehrig, H., Engels, G., Parisi-Presicce, F., Rozenberg, G. (eds.) ICGT 2004. LNCS, vol. 3256, pp. 287–303. Springer, Heidelberg (2004)
Erling, O., Averbuch, A., Larriba-Pey, J., Chafi, H., Gubichev, A., Prat-Pérez, A., Pham, M., Boncz, P.A.: The LDBC social network benchmark: interactive workload. In: Proceedings of 2015 ACM SIGMOD, pp. 619–630. ACM (2015)
Goel, A.K., Pound, J., Auch, N., Bumbulis, P., MacLean, S., Färber, F., Gropengießer, F., Mathis, C., Bodner, T., Lehner, W.: Towards scalable real-time analytics: an architecture for scale-out of OLxP workloads. PVLDB 8(12), 1716–1727 (2015)
Gubichev, A., Then, M.: Graph pattern matching - do we have to reinvent the wheel? In: Proceedings of GRADES 2014, pp. 8:1–8:7. ACM (2014)
Habel, A., Pennemann, K.: Correctness of high-level transformation systems relative to nested conditions. Math. Struct. Comput. Sci. 19(2), 245–296 (2009)
Heckel, R., Küster, J.M., Taentzer, G.: Confluence of typed attributed graph transformation systems. In: Corradini, A., Ehrig, H., Kreowski, H.-J., Rozenberg, G. (eds.) ICGT 2002. LNCS, vol. 2505, pp. 161–176. Springer, Heidelberg (2002)
Krause, C., Tichy, M., Giese, H.: Implementing graph transformations in the bulk synchronous parallel model. In: Gnesi, S., Rensink, A. (eds.) FASE 2014 (ETAPS). LNCS, vol. 8411, pp. 325–339. Springer, Heidelberg (2014)
Neo Technology Inc., OpenCypher (2015). http://www.opencypher.org
Prat, A., Boncz, P., Larriba, J.L., Angles, R., Averbuch, A., Erling, O., Gubichev, A., Spasić, M., Pham, M.D., Martínez, N.: LDBC Social Network Benchmark (SNB) - v0.2.2 first public draft (2015). http://github.com/ldbc/ldbc_snb_docs/blob/master/LDBC_SNB_v0.2.2.pdf
Rodriguez, M.A.: The Gremlin graph traversal machine and language (invited talk). In: Proceedings of DBPL 2015 (DBPL 2015), pp. 1–10. ACM (2015)
Rudolf, M.: Utilizing constraint satisfaction techniques for efficient graph pattern matching. In: Ehrig, H., Engels, G., Kreowski, H.-J., Rozenberg, G. (eds.) TAGT 1998. LNCS, vol. 1764, pp. 238–252. Springer, Heidelberg (2000)
SAP SE: SAP HANA core data services (CDS) reference (2015). http://help.sap.com/hana/SAP_HANA_Core_Data_Services_CDS_Reference_en.pdf
SAP SE: SAP HANA spatial reference (2015). http://help.sap.com/hana/sap_hana_spatial_reference_en.pdf
Valiant, L.G.: A bridging model for parallel computation. Commun. ACM 33(8), 103–111 (1990)
Varró, G., Friedl, K., Varró, D.: Implementing a graph transformation engine in relational databases. Softw. Syst. Model. 5(3), 313–341 (2006)
World Wide Web Consortium (W3C): SPARQL 1.1 query language (2013). http://www.w3.org/TR/2013/REC-sparql11-query-20130321
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Krause, C., Johannsen, D., Deeb, R., Sattler, KU., Knacker, D., Niadzelka, A. (2016). An SQL-Based Query Language and Engine for Graph Pattern Matching. In: Echahed, R., Minas, M. (eds) Graph Transformation. ICGT 2016. Lecture Notes in Computer Science(), vol 9761. Springer, Cham. https://doi.org/10.1007/978-3-319-40530-8_10
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