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From "Md. Rezaul Karim" <rezaul.ka...@insight-centre.org>
Subject Re: Issue with SparkR setup on RStudio
Date Wed, 04 Jan 2017 15:04:06 GMT
Cheung,

The problem has been solved after switching from Windows to Linux
environment.

Thanks.



Regards,
_________________________________
*Md. Rezaul Karim* BSc, MSc
PhD Researcher, INSIGHT Centre for Data Analytics
National University of Ireland, Galway
IDA Business Park, Dangan, Galway, Ireland
Web: http://www.reza-analytics.eu/index.html
<http://139.59.184.114/index.html>

On 2 January 2017 at 18:59, Felix Cheung <felixcheung_m@hotmail.com> wrote:

> Perhaps it is with
>
> spark.sql.warehouse.dir="E:/Exp/"
>
> That you have in the sparkConfig parameter.
>
> Unfortunately the exception stack is fairly far away from the actual
> error, but from the top of my head spark.sql.warehouse.dir and HADOOP_HOME
> are the two different pieces that is not set in the Windows tests.
>
>
> _____________________________
> From: Md. Rezaul Karim <rezaul.karim@insight-centre.org>
> Sent: Monday, January 2, 2017 7:58 AM
> Subject: Re: Issue with SparkR setup on RStudio
> To: Felix Cheung <felixcheung_m@hotmail.com>
> Cc: spark users <user@spark.apache.org>
>
>
> Hello Cheung,
>
> Happy New Year!
>
> No, I did not configure Hive on my machine. Even I have tried not setting
> the HADOOP_HOME but getting the same error.
>
>
>
> Regards,
> _________________________________
> *Md. Rezaul Karim* BSc, MSc
> PhD Researcher, INSIGHT Centre for Data Analytics
> National University of Ireland, Galway
> IDA Business Park, Dangan, Galway, Ireland
> Web:http://www.reza-analytics.eu/index.html
> <http://139.59.184.114/index.html>
>
> On 29 December 2016 at 19:16, Felix Cheung <felixcheung_m@hotmail.com>
> wrote:
>
>> Any reason you are setting HADOOP_HOME?
>>
>> From the error it seems you are running into issue with Hive config
>> likely with trying to load hive-site.xml. Could you try not setting
>> HADOOP_HOME
>>
>>
>> ------------------------------
>> *From:* Md. Rezaul Karim <rezaul.karim@insight-centre.org>
>> *Sent:* Thursday, December 29, 2016 10:24:57 AM
>> *To:* spark users
>> *Subject:* Issue with SparkR setup on RStudio
>>
>>
>> Dear Spark users,
>>
>> I am trying to setup SparkR on RStudio to perform some basic data
>> manipulations and MLmodeling.  However, I am a strange error while
>> creating SparkR session or DataFrame that says:java.lang.IllegalArgumentException
>> Error while instantiating 'org.apache.spark.sql.hive.HiveSessionState.
>>
>> According to Spark documentation athttp://spark.apache.org/
>> docs/latest/sparkr.html#starting-up-sparksession, I don’t need to
>> configure Hive path or related variables.
>>
>> I have the following source code:
>>
>> SPARK_HOME = "C:/spark-2.1.0-bin-hadoop2.7"
>> HADOOP_HOME= "C:/spark-2.1.0-bin-hadoop2.7/bin/"
>>
>> library(SparkR, lib.loc = c(file.path(Sys.getenv("SPARK_HOME"), "R",
>> "lib")))
>> sparkR.session(appName = "SparkR-DataFrame-example", master = "local[*]",
>> sparkConfig = list(spark.sql.warehouse.dir="E:/Exp/",
>> spark.driver.memory = "8g"), enableHiveSupport = TRUE)
>>
>> # Create a simple local data.frame
>> localDF <- data.frame(name=c("John", "Smith", "Sarah"), age=c(19, 23, 18))
>> # Convert local data frame to a SparkDataFrame
>> df <- createDataFrame(localDF)
>> print(df)
>> head(df)
>> sparkR.session.stop()
>>
>> Please note that the HADOOP_HOME contains the ‘*winutils.exe’* file. The
>> details of the eror is as follows:
>>
>> Error in handleErrors(returnStatus, conn) :  java.lang.IllegalArgumentException:
Error while instantiating 'org.apache.spark.sql.hive.HiveSessionState':
>>
>>                at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$reflect(SparkSession.scala:981)
>>
>>                at org.apache.spark.sql.SparkSession.sessionState$lzycompute(SparkSession.scala:110)
>>
>>                at org.apache.spark.sql.SparkSession.sessionState(SparkSession.scala:109)
>>
>>                at org.apache.spark.sql.api.r.SQLUtils$$anonfun$setSparkContextSessionConf$2.apply(SQLUtils.scala:67)
>>
>>                at org.apache.spark.sql.api.r.SQLUtils$$anonfun$setSparkContextSessionConf$2.apply(SQLUtils.scala:66)
>>
>>                at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
>>
>>                at scala.collection.Iterator$class.foreach(Iterator.scala:893)
>>
>>                at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
>>
>>                at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
>>
>>                at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
>>
>>                at scala.collection.Traversabl
>>
>>
>>  Any kind of help would be appreciated.
>>
>>
>>
>>
>> Regards,
>> _________________________________
>> *Md. Rezaul Karim* BSc, MSc
>> PhD Researcher, INSIGHT Centre for Data Analytics
>> National University of Ireland, Galway
>> IDA Business Park, Dangan, Galway, Ireland
>> Web:http://www.reza-analytics.eu/index.html
>> <http://139.59.184.114/index.html>
>>
>
>
>
>

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