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Spark SQL: Relational Data Processing in Spark

Spark SQL: Relational Data Processing in SparkMichael Armbrust , Reynold S. Xin , Cheng Lian , Yin Huai , Davies Liu , Joseph K. Bradley ,Xiangrui Meng , Tomer Kaftan , Michael J. Franklin , Ali Ghodsi , Matei Zaharia Databricks Inc. MIT CSAIL AMPLab, UC BerkeleyABSTRACTS park SQL is a new module in Apache Spark that integrates rela-tional Processing with Spark s functional programming API. Builton our experience with Shark, Spark SQL lets Spark program-mers leverage the benefits of Relational Processing ( ,declarativequeries and optimized storage), and lets SQL users call complexanalytics libraries in Spark ( ,machine learning).

Spark SQL was released in May 2014, and is now one of the most actively developed components in Spark. As of this writing, Apache Spark is the most active open source project for big data processing, with over 400 contributors in the past year. Spark SQL

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