Spark and Scala (keynote).

SPLASH '17: Conference on Systems, Programming, Languages, and Applications: Software for Humanity Vancouver BC Canada October, 2017(2017)

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摘要
Written mostly in Scala and with over 1000 contributors, Apache Spark has become the de facto standard for big data processing. In this talk, I will review the evolution of Spark for the last seven years and our experience using Scala as the main programming language in a high profile open source project with a distributed team. I will outline language features that we can't live without, and features we wish were designed differently. Last but not least, I will discuss how we at Databricks are leveraging native code to further improve performance.
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关键词
Spark,Scala,SQL,Big Data
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