i3QL

Author:

Mitschke Ralf1,Erdweg Sebastian1,Köhler Mirko1,Mezini Mira2,Salvaneschi Guido1

Affiliation:

1. Technische Universität Darmstadt, Darmstadt, Germany

2. Technische Universität Darmstadt, Darmstadt, Germany & Lancaster University, Lancaster, UK

Abstract

An incremental computation updates its result based on a change to its input, which is often an order of magnitude faster than a recomputation from scratch. In particular, incrementalization can make expensive computations feasible for settings that require short feedback cycles, such as interactive systems, IDEs, or (soft) real-time systems. This paper presents i3QL, a general-purpose programming language for specifying incremental computations. i3QL provides a declarative SQL-like syntax and is based on incremental versions of operators from relational algebra, enriched with support for general recursion. We integrated i3QL into Scala as a library, which enables programmers to use regular Scala code for non-incremental subcomputations of an i3QL query and to easily integrate incremental computations into larger software projects. To improve performance, i3QL optimizes user-defined queries by applying algebraic laws and partial evaluation. We describe the design and implementation of i3QL and its optimizations, demonstrate its applicability, and evaluate its performance.

Funder

European Research Council

Bundesministerium für Bildung und Forschung

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Distributed graph queries over models@run.time for runtime monitoring of cyber-physical systems;International Journal on Software Tools for Technology Transfer;2019-09-26

2. Distributed Graph Queries for Runtime Monitoring of Cyber-Physical Systems;Fundamental Approaches to Software Engineering;2018

3. Efficient Functional Reactive Programming Through Incremental Behaviors;Programming Languages and Systems;2017

4. Incremental computations over strongly distributed databases;Concurrency and Computation: Practice and Experience;2015-10-16

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