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Big data management aims to establish data hubs that support data in multiplemodels and types in an all-around way. Thus, the multi-model database system isa promising architecture for building such a multi-model data store. For anintegrated data hub, a unified and flexible query language is incrediblynecessary. In this paper, an extensible and practical query language--Multi-SQLis proposed to realize the unified management of multi-model data consideringthe co-processing of multi-model data. To the best of our knowledge, Multi-SQLis the first query language based on various data models. Multi-SQL can also beexpanded to suit more complicated scenarios as it is flexible to support otherdata models. Moreover, we provide a formal semantic definition of the corefeatures of Multi-SQL, including the multi-model definition, multi-modelfilters, multi-model joins, etc. Furthermore, we propose a two-level queryimplementation method to totally exploit the existing query optimizationcapabilities of the underlying engines which could largely improve the queryexcution efficiency.

Multi-SQL: An extensible multi-model data query language