akhandeshi; user@spark.apache.org<mailto:user@spark.apache.org>
Subject: RE: SparkR Error in sparkR.init(master=“local”) in RStudio
Tried, multiple permutation of setting home… Still same issue
> Sys.setenv(SPARK_HOME="c:\\DevTools\\spark-1.5.1")
> .libPaths(c(file.path(Sys.get
It seems the problem is with creating Usage: RBackend
From: Sun, Rui [mailto:rui@intel.com]
Sent: Wednesday, October 07, 2015 10:23 PM
To: Khandeshi, Ami; Hossein
Cc: akhandeshi; user@spark.apache.org
Subject: RE: SparkR Error in sparkR.init(master=“local”) in RStudio
Can you extract the
: SparkR Error in sparkR.init(master=“local”) in RStudio
Tried, multiple permutation of setting home… Still same issue
> Sys.setenv(SPARK_HOME="c:\\DevTools\\spark-1.5.1")
> .libPaths(c(file.path(Sys.getenv("SPARK_HOME"),"R","lib"),.libPaths()))
>
Cc: Sun, Rui; akhandeshi; user@spark.apache.org<mailto:user@spark.apache.org>
Subject: Re: SparkR Error in sparkR.init(master=“local”) in RStudio
Have you built the Spark jars? Can you run the Spark Scala shell?
--Hossein
On Tuesday, October 6, 2015, Khandeshi, Ami
mailto:ami
Not sure "/C/DevTools/spark-1.5.1/bin/spark-submit.cmd" is a valid?
From: Hossein [mailto:fal...@gmail.com]
Sent: Wednesday, October 7, 2015 12:46 AM
To: Khandeshi, Ami
Cc: Sun, Rui; akhandeshi; user@spark.apache.org
Subject: Re: SparkR Error in sparkR.init(master=“local”) in RStudio
Is it possible that your user does not have permission to write temp file?
On Tue, Oct 6, 2015 at 10:26 AM -0700, "akhandeshi"
wrote:
It seems it is failing at
path <- tempfile(pattern = "backend_port") I do not see backend_port
directory created...
--
View this message in context:
ht
It seems it is failing at
path <- tempfile(pattern = "backend_port") I do not see backend_port
directory created...
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/SparkR-Error-in-sparkR-init-master-local-in-RStudio-tp23768p24958.html
Sent from the Apache
sage-
> From: Sun, Rui [mailto:rui@intel.com ]
> Sent: Tuesday, October 06, 2015 9:39 AM
> To: akhandeshi; user@spark.apache.org
> Subject: RE: SparkR Error in sparkR.init(master=“local”) in RStudio
>
> What you have done is supposed to work. Need more debugging inf
554719\AppData\Local\Temp\Rtmpw11KJ1\backend_port31b0afd4391' had
status 127
-Original Message-
From: Sun, Rui [mailto:rui@intel.com]
Sent: Tuesday, October 06, 2015 9:39 AM
To: akhandeshi; user@spark.apache.org
Subject: RE: SparkR Error in sparkR.init(master=“local”) in RStu
ny hint in the console output
-Original Message-
From: akhandeshi [mailto:ami.khande...@gmail.com]
Sent: Tuesday, October 6, 2015 8:21 PM
To: user@spark.apache.org
Subject: Re: SparkR Error in sparkR.init(master=“local”) in RStudio
I couldn't get this working...
I have have JAVA_H
I couldn't get this working...
I have have JAVA_HOME set.
I have defined SPARK_HOME
Sys.setenv(SPARK_HOME="c:\DevTools\spark-1.5.1")
.libPaths(c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib"), .libPaths()))
library("SparkR", lib.loc="c:\\DevTools\\spark-1.5.1\\lib")
library(SparkR)
sc<-sparkR.ini
Hi,
Try this
> Sys.setenv(SPARK_HOME="C:\\spark-1.4.0") # The path to your spark
> installation
> .libPaths(c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib"), .libPaths()))
> library("SparkR", lib.loc="C:\\spark-1.4.0\\lib") # The path to the lib
> folder in the spark location
> library(SparkR)
>
nes in
> the section "Using SparkR from RStudio" in
> https://github.com/apache/spark/tree/master/R ?
>
>
> From: kachau [umesh.ka...@gmail.com]
> Sent: Saturday, July 11, 2015 12:30 AM
> To: user@spark.apache.org
> Subject: SparkR
5 12:30 AM
To: user@spark.apache.org
Subject: SparkR Error in sparkR.init(master=“local”) in RStudio
I have installed the SparkR package from Spark distribution into the R
library. I can call the following command and it seems to work properly:
library(SparkR)
However, when I try to get the Spa
I have installed the SparkR package from Spark distribution into the R
library. I can call the following command and it seems to work properly:
library(SparkR)
However, when I try to get the Spark context using the following code,
sc <- sparkR.init(master="local")
It fails after some time with th
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