You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Vincent Warmerdam (JIRA)" <ji...@apache.org> on 2015/06/27 10:04:04 UTC
[jira] [Comment Edited] (SPARK-8596) Install and configure RStudio
server on Spark EC2
[ https://issues.apache.org/jira/browse/SPARK-8596?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14604053#comment-14604053 ]
Vincent Warmerdam edited comment on SPARK-8596 at 6/27/15 8:04 AM:
-------------------------------------------------------------------
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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org