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SparkR + Zeppelin

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An introduction to SparkR and using R/SparkR with Apache Zeppelin

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SparkR + Zeppelin
Seattle Spark Meetup
Sept 9, 2015
Felix Cheung
Agenda
• R & SparkR
• SparkR DataFrame
• SparkR in Zeppelin
• What’s next
R• A programming language for statistical computing and
graphics
• S – 1975
• S4 - advanced object-oriented features
• R – 1993
• S + lexical scoping
• Interpreted
• Matrix arithmetic
• Comprehensive R Archive Network (CRAN) – 7000+ packages
Fast!
Scalable
Flexible
Statistical!
Interactive
Packages
SparkR
• R language APIs for Spark and Spark SQL
• Exposes Spark functionality in an R-friendly DataFrame API
• Runs as its own REPL sparkR
• or as a standard R package imported in tools like Rstudio
library(SparkR)
sc <- sparkR.init()
sqlContext <- sparkRSQL.init(sc)
5
History
• Shivaram Venkataraman & Zongheng Yang,
amplab – UC Berkeley
• RDD APIs in a standalone package (Jan/2014)
• Spark SQL and SchemaRDD -> DataFrame
• Spark 1.4 – first Spark release with SparkR APIs
• Spark 1.5 (today!)
6
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SparkR + Zeppelin

Editor's Notes

  1. InRstudio: .libPaths(c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib"), .libPaths()))
  2. Use the viewer to check out the notebook without running Zeppelin: https://www.zeppelinhub.com/viewer/
  3. Retail employment, in millions (2008-2014) Source: Bureau of Labor Statistics Credit: NPR
  4. dplyr-like syntax