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IceDust: Incremental and Eventual Computation of Derived Values in Persistent Object Graphs

Authors Daco C. Harkes, Danny M. Groenewegen, Eelco Visser

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  • Incremental Computing
  • Data Modeling
  • Domain Specific Language

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Abstract

Derived values are values calculated from base values. They can be
expressed in object-oriented languages by means of getters calculating the derived value, and in relational or logic databases by means of (materialized) views. However, switching to a different calculation strategy (for example caching) in object-oriented programming requires invasive code changes, and the databases limit expressiveness by disallowing recursive aggregation.

In this paper, we present IceDust, a data modeling language for
expressing derived attribute values without committing to a calculation strategy. IceDust provides three strategies for calculating derived values in persistent object graphs: Calculate-on-Read, Calculate-on-Write, and Calculate-Eventually. We have developed a path-based abstract interpretation that provides static dependency analysis to generate code for these strategies. Benchmarks show that different strategies perform better in different scenarios. In addition we have conducted a case study that suggests that derived value calculations of systems used in practice can be expressed in IceDust.

Cite As Get BibTex

Daco C. Harkes, Danny M. Groenewegen, and Eelco Visser. IceDust: Incremental and Eventual Computation of Derived Values in Persistent Object Graphs. In 30th European Conference on Object-Oriented Programming (ECOOP 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 56, pp. 11:1-11:26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016) https://doi.org/10.4230/LIPIcs.ECOOP.2016.11

Author Details

Daco C. Harkes
Danny M. Groenewegen
Eelco Visser

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