Language-integrated query based on comprehension syntax is a powerful
technique for safe database programming, and provides a basis for advanced
techniques such as query shredding or query flattening that allow efficient
programming with complex nested collections. However, the foundations of these
techniques are lacking: although SQL, the most widely-used database query
language, supports heterogeneous queries that mix set and multiset semantics,
these important capabilities are not supported by known correctness results or
implementations that assume homogeneous collections. In this paper we study
language-integrated query for a heterogeneous query language
that combines set and multiset constructs. We show how
to normalize and translate queries to SQL, and develop a novel approach to
querying heterogeneous nested collections, based on the insight that local'' query subexpressions that calculate nested subcollections can be lifted’’ to
the top level analogously to lambda-lifting for local function definitions.

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