[2207.04199] Serving Hybrid-Cloud SQL Interactive Queries at Twitter
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Computer Science > Databases

arXiv:2207.04199 (cs)
[Submitted on 9 Jul 2022]

Title:Serving Hybrid-Cloud SQL Interactive Queries at Twitter

Authors:Chunxu Tang, Beinan Wang, Huijun Wu, Zhenzhao Wang, Yao Li, Vrushali Channapattan, Zhenxiao Luo, Ruchin Kabra, Mainak Ghosh, Nikhil Kantibhai Navadiya, Prachi Mishra, Prateek Mukhedkar, Anneliese Lu
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Abstract:The demand for data analytics has been consistently increasing in the past years at Twitter. In order to fulfill the requirements and provide a highly scalable and available query experience, a large-scale in-house SQL system is heavily relied on. Recently, we evolved the SQL system into a hybrid-cloud SQL federation system, compliant with Twitter's Partly Cloudy strategy. The hybrid-cloud SQL federation system is capable of processing queries across Twitter's data centers and the public cloud, interacting with around 10PB of data per day.
In this paper, the design of the hybrid-cloud SQL federation system is presented, which consists of query, cluster, and storage federations. We identify challenges in a modern SQL system and demonstrate how our system addresses them with some important design decisions. We also conduct qualitative examinations and summarize instructive lessons learned from the development and operation of such a SQL system.
Comments: Submitted to ECSA 2021 post-proceedings
Subjects: Databases (cs.DB)
Cite as: arXiv:2207.04199 [cs.DB]
  (or arXiv:2207.04199v1 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.2207.04199
Related DOI: https://doi.org/10.1007/978-3-031-15116-3_1

Submission history

From: Chunxu Tang [view email]
[v1] Sat, 9 Jul 2022 05:31:30 UTC (1,892 KB)
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