Stargate: a data source connector based on spark SQL

Y. Tao, Gang Wu, Yi Kang
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Abstract

Spark SQL has become a landing solution when a lot of enterprises in the face of massive data analysis and processing issues. To quickly and conveniently connect computing engines to data sources on different storage engines and help computing engine understanding and adapting the storage engine to improve the computational efficiency, we present a data source connector based on Spark SQL - Stargate, which provides a set of framework for different storage engine to connect to the Spark SQL computing engine. Experiments show that Stargate can perfectly match Spark SQL computing engine with multiple storage engines, and Stargate can help computing engines understand and adapt storage engines to improve the computational analysis efficiency.
Stargate:一个基于spark SQL的数据源连接器
当很多企业面临海量数据的分析和处理问题时,Spark SQL已经成为一个落地的解决方案。为了快速方便地将计算引擎与不同存储引擎上的数据源连接起来,帮助计算引擎理解和适应存储引擎以提高计算效率,我们提出了一种基于Spark SQL的数据源连接器——Stargate,它为不同存储引擎与Spark SQL计算引擎的连接提供了一套框架。实验表明,Stargate可以将Spark SQL计算引擎与多种存储引擎完美匹配,帮助计算引擎理解和适应存储引擎,提高计算分析效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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