Spark and Scala (keynote)

Reynold Xin
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引用次数: 1

Abstract

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.
Spark和Scala(主题演讲)
Apache Spark主要是用Scala编写的,贡献者超过1000人,它已经成为大数据处理的事实上的标准。在这次演讲中,我将回顾Spark在过去七年的发展,以及我们在一个分布式团队的高知名度开源项目中使用Scala作为主要编程语言的经验。我将概述我们不能没有的语言特性,以及我们希望以不同的方式设计的特性。最后,我将讨论Databricks如何利用本机代码进一步提高性能。
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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