Publication

Cubrick: A Scalable Distributed MOLAP Database for Fast Analytics

41st International Conference on Very Large Databases (Ph.D Workshop)


Abstract

This paper describes the architecture and design of Cubrick, a distributed multidimensional in-memory database that enables real-time data analysis of large dynamic datasets. Cubrick has a strictly multidimensional data model composed of dimensions, dimensional hierarchies and metrics, supporting sub-second MOLAP operations such as slice and dice, roll-up and drill-down over terabytes of data. All data stored in Cubrick is chunked in every dimension and stored within containers called bricks in an unordered and sparse fashion, providing high data ingestion ratios and indexed access through every dimension. In this paper, we describe details about Cubrick’s internal data structures, distributed model, query execution engine and a few details about the current implementation. Finally, we present some experimental results found in a first Cubrick deployment inside Facebook.

Related Publications

All Publications

TSE - May 6, 2021

Comparative Analysis of Constraint Handling Techniques for Constrained Combinatorial Testing

Huayao Wu, Changhai Nie, Justyna Petke, Yue Jia, Mark Harman

EASE - May 10, 2021

Facebook’s Cyber–Cyber and Cyber–Physical Digital Twins

John Ahlgren, Kinga Bojarczuk, Sophia Drossopoulou, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Simon Mark Lucas, Erik Meijer, Steve Omohundro, Rubmary Rojas, Silvia Sapora, Jie M. Zhang, Norm Zhou

International Workshop on Mutation Analysis at ICST - May 6, 2021

An Empirical Comparison of Mutant Selection Assessment Metrics

Jie M. Zhang, Lingming Zhang, Dan Hao, Lu Zhang, Mark Harman

HPCA - March 3, 2021

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

Hyoukjun Kwon, Liangzhen La, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy