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NoSQL databases support semi-structured data, typically modeled as JSON. Theyalso provide limited (but expanding) query languages. Their idiomatic, non-SQLlanguage constructs, the many variations, and the lack of formal semanticsinhibit deep understanding of the query languages, and also impede progresstowards clean, powerful, declarative query languages.  This paper specifies the syntax and semantics of SQL++, which is applicableto both JSON native stores and SQL databases. The SQL++ semi-structured datamodel is a superset of both JSON and the SQL data model. SQL++ offers powerfulcomputational capabilities for processing semi-structured data akin to priornon-relational query languages, notably OQL and XQuery. Yet, SQL++ is SQLbackwards compatible and is generalized towards JSON by introducing only asmall number of query language extensions to SQL.  Recognizing that a query language standard is probably premature for the fastevolving area of NoSQL databases, SQL++ includes configuration options thatformally itemize the semantics variations that language designers may choosefrom. The options often pertain to the treatment of semi-structuredness(missing attributes, heterogeneous types, etc), where more than one sensibleapproaches are possible.  SQL++ is unifying: By appropriate choices of configuration options, the SQL++semantics can morph into the semantics of existing semi-structured databasequery languages. The extensive experimental validation shows how SQL and foursemi-structured database query languages (MongoDB, Cassandra CQL, CouchbaseN1QL and AsterixDB AQL) are formally described by appropriate settings of theconfiguration options.  Early adoption signs of SQL++ are positive: Version 4 of Couchbase's N1QL isexplained as syntactic sugar over SQL++. AsterixDB will soon support the fullSQL++ and Apache Drill is in the process of aligning with SQL++.

The SQL++ Query Language: Configurable, Unifying and Semi-structured