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文件名:  Using sparklyr in Databricks.pdf
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  1. In September 2016, RStudio announced sparklyr, a new R interface to Apache Spark. sparklyr’s interface to Spark follows the popular dplyr syntax. At Databricks, we provide the best place to run Apache Spark and all applications and packages powered by it, from all the languages that Spark supports. sparklyr’s addition to the Spark ecosystem not only complements SparkR but also extends Spark’s reach to new users and communities.

  3. Today, we are happy to announce that sparklyr can be seamlessly used in Databricks clusters running Apache Spark 2.2 or higher. In this blog post, we show how you can install and configure sparklyr in Databricks. We also introduce some of the latest improvements in Databricks R Notebooks.
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