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Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources [r-libre/1401]

Begoli, Edmon; Camacho-Rodríguez, Jesús; Hyde, Julian; Mior, Michael et Lemire, Daniel (sous presse). Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources. Dans Proceedings of the 2018 ACM International Conference on Management of Data (SIGMOD).

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[img]  PDF - apache-calcite.pdf
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Catégorie de document : Communications dans des actes de congrès/colloques
Évaluation par un comité de lecture : Oui
Étape de publication : Accepté (sous presse)
Résumé : Apache Calcite is a foundational software framework that provides query processing, optimization, and query language support to many popular open-source data processing systems such as Apache Hive, Apache Storm, Apache Flink, Druid, and MapD. Calcite’s architecture consists of a modular and extensible query optimizer with hundreds of built-in optimization rules, a query processor capable of processing a variety of query languages, an adapter architecture designed for extensibility, and support for heterogeneous data models and stores (relational, semi-structured, streaming, and geospatial). This exible, embeddable, and extensible architecture is what makes Calcite an attractive choice for adoption in big- data frameworks. It is an active project that continues to introduce support for the new types of data sources, query languages, and approaches to query processing and optimization.
Déposant: Lemire, Daniel
Responsable : Daniel Lemire
Dépôt : 07 mars 2018 18:29
Dernière modification : 07 mars 2018 18:29

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