2008Unpublished venueRequires access

Caching and incrementalisation in the java query language

Darren Willis, David J. Pearce, James Noble

Open publisher page 31 citations

Abstract

Many contemporary object-oriented programming languages support first-class queries or comprehensions. These language extensions make it easier for programmers to write queries, but are generally implemented no more efficiently than the code using collections, iterators, and loops that they replace. Crucially, whenever a query is re-executed, it is recomputed from scratch. We describe a general approach to optimising queries over mutable objects: query results are cached, and those caches are incrementally maintained whenever the collections and objects underlying those queries are updated. We hope that the performance benefits of our optimisations may encourage more general adoption of first-class queries by object-oriented programmers.

About this research paper

What this paper is about

Many contemporary object-oriented programming languages support first-class queries or comprehensions. These language extensions make it easier for programmers to write queries, but are generally implemented no more efficiently than the code using collections, iterators, and loops that they replace. Crucially, whenever a query is re-executed, it is recomputed from scratch. We describe a general approach to optimising queries over mutable objects: query results are cached, and those caches are incrementally maintained whenever the collections and objects underlying those queries are updated. We hope that the performance benefits of our optimisations may encourage more general adoption of first-class queries by object-oriented programmers.

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OpenAlex reports 31 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Many contemporary object-oriented programming languages support first-class queries or comprehensions. These language extensions make it easier for programmers to write queries, but are generally implemented no more efficiently than the code using collections, iterators, and loops that they replace. Crucially, whenever a query is re-executed, it is recomputed from scratch. We describe a general approach to optimising queries over mutable objects: query results are cached, and those caches are incrementally maintained whenever the collections and objects underlying those queries are updated. We hope that the performance benefits of our optimisations may encourage more general adoption of first-class queries by object-oriented programmers.

Key concepts: Computer science, Programming language, Java, Query language, Class (philosophy), Scratch, Object-oriented programming, Object Query Language

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