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https://issues.apache.org/jira/browse/SPARK-8596?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14604053#comment-14604053
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Vincent Warmerdam edited comment on SPARK-8596 at 6/27/15 8:04 AM:
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I'm writing a small tutorial to get up to scratch with rstudio on AWS. It
works. The main issue seems that currently ec2 installs an old version of R
(3.1) while most packages like ggplot require a new version (3.2). I'm going to
share the tutorial with the Rstudio guys soon.
My approach is to run `spark/bin/start-all.sh` on the master node and then run
the following commands in Rstudio on the master node:
.libPaths( c( .libPaths(), '/root/spark/R/lib') )
Sys.setenv(SPARK_HOME = '/root/spark')
Sys.setenv(PATH = paste(Sys.getenv(c("PATH")), '/root/spark/bin', sep=':'))
library(SparkR)
sc <- sparkR.init('<SPARK MASTER ADR>')
sqlContext <- sparkRSQL.init(sc)
This works on my end, and I've been able to use the dataframe API with a json
blob on s3 with this sqlContext. The main issue on my end is that because of
the old R version I can't install visualisation/knitr packages. The spark
dataframe works like a charm in the GUI though.
was (Author: cantdutchthis):
I'm writing a small tutorial to get up to scratch with rstudio on AWS. It
works. The main issue seems that currently ec2 installs an old version of R
(3.1) while most packages like ggplot require a new version (3.2). I'm going to
share the tutorial with the Rstudio guys soon.
My approach is to run `spark/bin/start-all.sh` on the master node and then run
the following commands in Rstudio on the master node:
.libPaths( c( .libPaths(), '/root/spark/R/lib') )
Sys.setenv(SPARK_HOME = '/root/spark')
Sys.setenv(PATH = paste(Sys.getenv(c("PATH")), '/root/spark/bin', sep=':'))
library(SparkR)
sc <- sparkR.init('<SPARK MASTER ADR>')
sqlContext <- sparkRSQL.init(sc)
This works on my end, and I've been able to use the dataframe API with a json
blob on s3 with this sqlContext. The main issue on my end is that because of
the old R version I can't install visualisation/knitr packages. The spark
dataframe works like a charm in the GUI though.
> Install and configure RStudio server on Spark EC2
> -------------------------------------------------
>
> Key: SPARK-8596
> URL: https://issues.apache.org/jira/browse/SPARK-8596
> Project: Spark
> Issue Type: Improvement
> Components: EC2, SparkR
> Reporter: Shivaram Venkataraman
>
> This will make it convenient for R users to use SparkR from their browsers
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