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