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 (2018). 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) (p. 221-230). 10.1145/3183713.3190662

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Catégorie de document :	Communications dans des actes de congrès/colloques
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
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 :	30 janv. 2019 18:18

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