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Schiavio_2022_GPCE
Conference paper (in proceedings)

SQL to stream with S2S : an automatic benchmark generator for the Java Stream API

  • Schiavio, Filippo Facoltà di scienze informatiche, Università della Svizzera italiana, Svizzera
  • Rosà, Andrea Facoltà di scienze informatiche, Università della Svizzera italiana, Svizzera
  • Binder, Walter Facoltà di scienze informatiche, Università della Svizzera italiana, Svizzera
  • 2022
Published in:
  • Proceedings of the 21st ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE ’22), December 06–07, 2022, Auckland, New Zealand. - New York : ACM. - 2022, p. 8 p.
SQL query compilation
Code generation
Java Stream API
Automatic benchmark generation
English The Java Stream API was introduced in Java 8, allowing developers to express computations in a functional style by defining a pipeline of data-processing operations. Despite the growing importance of this API, there is a lack of benchmarks specifically targeting stream-based applications. Instead of designing and implementing new ad-hoc workloads for the Java Stream API, we propose to automatically translate existing data-processing workloads. To this end, we present S2S, an automatic benchmark generator for the Java Stream API. S2S is a SQL query compiler that converts existing workloads designed for relational databases to stream-based code. We use S2S to generate BSS, the first benchmark suite for the Java Stream API.
Language
  • English
Classification
Computer science and technology
Other electronic version

Versione pubblicata

License
License undefined
Open access status
green
Identifiers
  • ARK ark:/12658/srd1322287
Persistent URL
https://n2t.net/ark:/12658/srd1322287
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