Open access research
publication repository
publication repository
Begoli, Edmon; Camacho-Rodríguez, Jesús; Hyde, Julian; Mior, Michael, & Lemire, Daniel (2018). Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources. In Proceedings of the 2018 ACM International Conference on Management of Data (SIGMOD) (p. 221-230). https://doi.org/10.1145/3183713.3190662
File(s) available for this item:|
PDF
- apache-calcite.pdf
Content : Accepted Version |
|
| Item Type: | Papers in Conference Proceedings |
|---|---|
| Refereed: | Yes |
| Status: | Published |
| Abstract: | 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. |
| Depositor: | Lemire, Daniel |
| Owner / Manager: | Daniel Lemire |
| Deposited: | 07 Mar 2018 18:29 |
| Last Modified: | 30 Jan 2019 18:18 |
|
RÉVISER |
