The Squall Project

Introduction

Squall is an online query processing engine built on top of Storm. Similar to how Hive provides SQL syntax on top of Hadoop for doing batch processing, Squall executes SQL queries on top of Storm doing online processing. Squall supports a wide class of SQL analytics ranging from simple aggregations to more advanced UDF join predicates and adaptive rebalancing of load.

Squall is opensource and is currently maintained on Github. Please refer to this Github page for the latest news, documentation, and releases.

Student Projects

If you are interested in working on interesting projects while having impact, join us and add your name to the Squall contributors list. Project proposals can be found here.

PUBLICATIONS

Alex’s Vision in Functional Quantum Matter

D. Pavuna 

Condensed Matter. 2024-06-01. Vol. 9, num. 2, p. 23. DOI : 10.3390/condmat9020023.

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Electrodeposition of polyaniline on reduced graphene oxide/cotton yarn with tunable electrochemical performance for flexible textile supercapacitors

L. Li; D. Du; C. He; K. Han; W. Xu et al. 

Polymer. 2024-06-21. Vol. 306, p. 127200. DOI : 10.1016/j.polymer.2024.127200.

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Quantification of Native Lignin Structural Features with Gel-Phase 2D-HSQC0 Reveals Lignin Structural Changes During Extraction

C. L. M. C. Bourmaud; S. Bertella; A. B. Rico; S. D. Karlen; J. Ralph et al. 

Angewandte Chemie-International Edition. 2024-06-24. DOI : 10.1002/anie.202404442.

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Direct high-temperature growth of GaN on Si using trimethylaluminum preflow enabling vertically-conducting heterostructures

A. Floriduz; U. Choi; E. Matioli 

Japanese Journal Of Applied Physics. 2024-06-03. Vol. 63, num. 6, p. 060904. DOI : 10.35848/1347-4065/ad5480.

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Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

P. Passelli; M. Picasso 

Computational Methods In Applied Mathematics. 2024-06-26. DOI : 10.1515/cmam-2022-0205.

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Overview of fast particle experiments in the first MAST Upgrade experimental campaigns

J. F. Rivero-Rodriguez; K. G. McClements; M. Fitzgerald; S. E. Sharapov; M. Cecconello et al. 

Nuclear Fusion. 2024-08-01. Vol. 64, num. 8, p. 086025. DOI : 10.1088/1741-4326/ad56a2.

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Nanocluster Aerosols from Ozone-Human Chemistry Are Dominated by Squalene-Ozone Reactions

S. Yang; D. Licina 

Environmental Science & Technology Letters. 2024-06-21. DOI : 10.1021/acs.estlett.4c00289.

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Realization of an atomic quantum Hall system in four dimensions

J-B. Bouhiron; A. Fabre; Q. Liu; Q. Redon; N. Mittal et al. 

Science. 2024-04-12. Vol. 384, num. 6692, p. 223-227. DOI : 10.1126/science.adf8459.

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Highly dispersed nanomaterials in polymer matrix via aerosol-jet-based multi-material 3D printing

H. Hwang; S. Park; M. J. H. Smith; S. T. Bose; A. R. Peringath et al. 

Nano Energy. 2024-09-01. Vol. 128, p. 109803. DOI : 10.1016/j.nanoen.2024.109803.

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Simulations of primary and secondary ice production during an Arctic mixed-phase cloud case from the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) campaign

B. Schafer; R. O. David; P. Georgakaki; J. T. Pasquier; G. Sotiropoulou et al. 

Atmospheric Chemistry And Physics. 2024-06-24. Vol. 24, num. 12, p. 7179-7202. DOI : 10.5194/acp-24-7179-2024.

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Core Team

List of Contributors

Here is a detailed list of contributors to Squall

Acknowledgments

This project is supported by ERC grant 279804 ALGILE.