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Graph database has enjoyed a boom in the last decade, and graph queriesaccordingly gain a lot of attentions from both the academia and industry. Wefocus on analytical queries in this paper. While analyzing existingdomain-specific languages (DSLs) for analytical queries regarding theperspectives of completeness, expressiveness and programmability, we find outthat none of existing work has achieved a satisfactory coverage of theseperspectives. Motivated by this, we propose the \flash DSL, which is namedafter the three primitive operators Filter, LocAl and PuSH. We prove that\flash is Turing complete (completeness), and show that it achieves both goodexpressiveness and programmability for analytical queries. We provide animplementation of \flash based on code generation, and compare it with nativeC++ codes and existing DSL using representative queries. The experiment resultsdemonstrate \flash's expressiveness, and its capability of programming complexalgorithms that achieve satisfactory runtime.

Taming the Expressiveness and Programmability of Graph Analytical Queries