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NexR RHive 2.0-0.0

RHive is an R extension facilitating distributed computing via HIVE query. RHive allows easy usage of HQL(Hive SQL) in R, and allows easy usage of R objects and R functions in Hive.

Before installing RHive, you have to have installed Hadoop and Hive

Install Hadoop

  1. Single Node
  2. Cluster Node
  3. set HADOOP_HOME at local machine on which R runs

Install Hive

  1. install local machine and remote machine on which NameNode runs or Hive-Server runs.
  2. Installation Guide
  3. set HIVE_HOME at local machine on which R runs.
  4. launch Hive Server with following command on remote machine. it should be as a background process.
    • $HIVE_HOME/bin/hive --service hiveserver

Install R and Packages

  1. install R
    • need to install R on all tasktracker nodes
  2. install rJava
    • only install rJava on local machine.
  3. install Rserve
    • need to install Rserve on all tasktracker nodes
    • make configuration in path (/etc/Rserv.conf) on all tasktracker nodes. edit this file to add 'remote enable' to allow remote connection.
    • launch all Rserve on all tasktracker nodes.
      • e.q> R CMD Rserve
  4. setting tasktracker nodes
    • add R_HOME path at $HADOOP_HOME/conf/hadoop-env.sh
      • e.q> export R_HOME=/usr/lib/R
  5. install RUnit

Install RHive

  1. Requirements
    • ant (in order to build jar files)
  2. Installing RHive
    1. Compressed package: R CMD INSTALL RHive_2.0-0.0.tar.gz
    2. Source code: R CMD INSTALL ./RHive
  3. If HADOOP_HOME doesn't exist, do following instruction :
    1. copy RUDF/RUDAF library(rhive_udf.jar) to '/rhive/lib/' of HDFS path, using this command : 'hadoop fs -put rhive_udf.jar /rhive/lib/rhive_udf.jar'. this jar file exists under $HIVE_HOME/lib.

Loading RHive and connecting to Hive

  1. launch R
library(RHive)
rhive.connect(hive-server-ip)

Tutorials

Requirements

  • Java 1.6
  • R 2.13.0
  • Rserve 0.6-0
  • rJava 0.9-0
  • Hadoop 0.20.x (x >= 1)
  • Hive 0.8.x (x >= 0)

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RHive is an R extension facilitating distributed computing via Apache Hive.

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