Hello !
Dear Experts , I am posting this for your information. I am a newbie to spark. I am interested in understanding Spark at the internal level. I need your opinion, which unix flavor should I install spark on Ubuntu or CentOS. I have had enough trouble with the windows version (1.6.1 with Hadoop 2.6 pre built binaries , keeps giving me exceptions ). I have worked on R on windows till date . Is there an R for unix? I have not googled this either. Sorry about that.Just want to make sure SparkR has a smooth run. Thanks in advance. Harry - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
hello
Hi, Is anybody out there ? Somni-451 - To unsubscribe e-mail: user-unsubscr...@spark.apache.org
Re: hello
You mean to Spark User List, Its pretty easy. check the first email it has all instructions On 18 December 2014 at 21:56, csjtx1021 [via Apache Spark User List] < ml-node+s1001560n20759...@n3.nabble.com> wrote: > > i want to join you > > -- > If you reply to this email, your message will be added to the discussion > below: > http://apache-spark-user-list.1001560.n3.nabble.com/hello-tp20759.html > To start a new topic under Apache Spark User List, email > ml-node+s1001560n1...@n3.nabble.com > To unsubscribe from Apache Spark User List, click here > <http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=1&code=aG5haGFrQHd5bnlhcmRncm91cC5jb218MXwtMTgxOTE5MTkyOQ==> > . > NAML > <http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml> > -- Regards, Harihar Nahak BigData Developer Wynyard Email:hna...@wynyardgroup.com | Extn: 8019 - --Harihar -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/hello-tp20759p20770.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
Re: Hello !
For SparkR, please refer to https://spark.apache.org/docs/latest/sparkr.html bq. on Ubuntu or CentOS Both platforms are supported. On Mon, Apr 11, 2016 at 1:08 PM, wrote: > Dear Experts , > > I am posting this for your information. I am a newbie to spark. > I am interested in understanding Spark at the internal level. > > I need your opinion, which unix flavor should I install spark on Ubuntu or > CentOS. I have had enough trouble with the windows version (1.6.1 with > Hadoop 2.6 pre built binaries , keeps giving me exceptions ). > > I have worked on R on windows till date . Is there an R for unix? I have > not googled this either. Sorry about that.Just want to make sure SparkR has > a smooth run. > > Thanks in advance. > Harry > > > > > - > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
Re: Hello !
Thank you ! On Apr 12, 2016, at 1:41, Ted Yu wrote: > For SparkR, please refer to https://spark.apache.org/docs/latest/sparkr.html > > bq. on Ubuntu or CentOS > > Both platforms are supported. > > On Mon, Apr 11, 2016 at 1:08 PM, wrote: > Dear Experts , > > I am posting this for your information. I am a newbie to spark. > I am interested in understanding Spark at the internal level. > > I need your opinion, which unix flavor should I install spark on Ubuntu or > CentOS. I have had enough trouble with the windows version (1.6.1 with Hadoop > 2.6 pre built binaries , keeps giving me exceptions ). > > I have worked on R on windows till date . Is there an R for unix? I have not > googled this either. Sorry about that.Just want to make sure SparkR has a > smooth run. > > Thanks in advance. > Harry > > > > > - > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
Fails to run simple Spark (Hello World) scala program
object Nizoz {
def connect(): Unit = {
val conf = new SparkConf().setAppName("nizoz").setMaster("master");
val spark = new SparkContext(conf)
val lines =
spark.textFile("file:///home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md")
val lineLengths = lines.map(s => s.length)
val totalLength = lineLengths.reduce((a, b) => a + b)
println("totalLength=" + totalLength)
}
def main(args: Array[String]) {
println(scala.tools.nsc.Properties.versionString)
try {
//Nizoz.connect
val logFile =
"/home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md" // Should
be some file on your system
val conf = new SparkConf().setAppName("Simple
Application").setMaster("spark://master:7077")
val sc = new SparkContext(conf)
val logData = sc.textFile(logFile, 2).cache()
val numAs = logData.filter(line => line.contains("a")).count()
val numBs = logData.filter(line => line.contains("b")).count()
println("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
} catch {
case e => {
println(e.getCause())
println("stack:")
e.printStackTrace()
}
}
}
}
Runs with Scala 2.10.4
The problem is this [vogue] exception:
at com.example.scamel.Nizoz.main(Nizoz.scala)
Caused by: java.lang.RuntimeException:
java.lang.reflect.InvocationTargetException
at
org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:131)
at org.apache.hadoop.security.Groups.(Groups.java:64)
at
org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:240)
...
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
...
... 10 more
Caused by: java.lang.UnsatisfiedLinkError:
org.apache.hadoop.security.JniBasedUnixGroupsMapping.anchorNative()V
at
org.apache.hadoop.security.JniBasedUnixGroupsMapping.anchorNative(Native
Method)
at
org.apache.hadoop.security.JniBasedUnixGroupsMapping.(JniBasedUnixGroupsMapping.java:49)
I have Hadoop 1.2.1 running on Ubuntu 14.04, the Scala console run as
expected.
What am I doing wrong?
Any idea will be welcome
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Fails-to-run-simple-Spark-Hello-World-scala-program-tp14718.html
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Unable to start Pi (hello world) application on Spark 1.4
It used to work with 1.3.1, however with 1.4.0 i get the following exception export SPARK_HOME=/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4 export SPARK_JAR=/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/spark-assembly-1.4.0-hadoop2.4.0.jar export HADOOP_CONF_DIR=/apache/hadoop/conf cd $SPARK_HOME ./bin/spark-submit -v --master yarn-cluster --driver-class-path /apache/hadoop/share/hadoop/common/hadoop-common-2.4.1-EBAY-2.jar:/apache/hadoop-2.4.1-2.1.3.0-2-EBAY/share/hadoop/yarn/lib/guava-11.0.2.jar --jars /apache/hadoop/lib/hadoop-lzo-0.6.0.jar,/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/datanucleus-api-jdo-3.2.6.jar,/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/datanucleus-core-3.2.10.jar,/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/datanucleus-rdbms-3.2.9.jar --num-executors 1 --driver-memory 4g --driver-java-options "-XX:MaxPermSize=2G" --executor-memory 2g --executor-cores 1 --queue hdmi-express --class org.apache.spark.examples.SparkPi ./lib/spark-examples*.jar 10 *Exception* 15/06/26 14:24:42 INFO client.ConfiguredRMFailoverProxyProvider: Failing over to rm2 15/06/26 14:24:42 WARN ipc.Client: Exception encountered while connecting to the server : java.lang.IllegalArgumentException: Server has invalid Kerberos principal: hadoop/x-y-rm-2.vip.cm@corp.cm.com I remember getting this error when working Spark 1.2.x where in the way i used to get */apache/hadoop/share/hadoop/common/hadoop-common-2.4.1-EBAY-2.jar* this library into cp. With 1.3.1 using --driver-class-path gets it running but with 1.4 it does not work Please suggest. -- Deepak
Re: Fails to run simple Spark (Hello World) scala program
Hi Moshe,
Spark needs a Hadoop 2.x/YARN cluster. Other wise you can run it without
hadoop in the stand alone mode.
Manu
On Sat, Sep 20, 2014 at 12:55 AM, Moshe Beeri wrote:
> object Nizoz {
>
> def connect(): Unit = {
> val conf = new SparkConf().setAppName("nizoz").setMaster("master");
> val spark = new SparkContext(conf)
> val lines =
>
> spark.textFile("file:///home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md")
> val lineLengths = lines.map(s => s.length)
> val totalLength = lineLengths.reduce((a, b) => a + b)
> println("totalLength=" + totalLength)
>
> }
>
> def main(args: Array[String]) {
> println(scala.tools.nsc.Properties.versionString)
> try {
> //Nizoz.connect
> val logFile =
> "/home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md" // Should
> be some file on your system
> val conf = new SparkConf().setAppName("Simple
> Application").setMaster("spark://master:7077")
> val sc = new SparkContext(conf)
> val logData = sc.textFile(logFile, 2).cache()
> val numAs = logData.filter(line => line.contains("a")).count()
> val numBs = logData.filter(line => line.contains("b")).count()
> println("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
>
> } catch {
> case e => {
> println(e.getCause())
> println("stack:")
> e.printStackTrace()
> }
> }
> }
> }
> Runs with Scala 2.10.4
> The problem is this [vogue] exception:
>
> at com.example.scamel.Nizoz.main(Nizoz.scala)
> Caused by: java.lang.RuntimeException:
> java.lang.reflect.InvocationTargetException
> at
>
> org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:131)
> at org.apache.hadoop.security.Groups.(Groups.java:64)
> at
>
> org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:240)
> ...
> Caused by: java.lang.reflect.InvocationTargetException
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
> Method)
> at
>
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
>
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> ...
> ... 10 more
> Caused by: java.lang.UnsatisfiedLinkError:
> org.apache.hadoop.security.JniBasedUnixGroupsMapping.anchorNative()V
> at
> org.apache.hadoop.security.JniBasedUnixGroupsMapping.anchorNative(Native
> Method)
> at
>
> org.apache.hadoop.security.JniBasedUnixGroupsMapping.(JniBasedUnixGroupsMapping.java:49)
>
> I have Hadoop 1.2.1 running on Ubuntu 14.04, the Scala console run as
> expected.
>
> What am I doing wrong?
> Any idea will be welcome
>
>
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Fails-to-run-simple-Spark-Hello-World-scala-program-tp14718.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> -
> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
> For additional commands, e-mail: user-h...@spark.apache.org
>
>
--
Manu Suryavansh
Re: Fails to run simple Spark (Hello World) scala program
Thank Manu, I just saw I have included hadoop client 2.x in my pom.xml, removing it solved the problem. Thanks for you help -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Fails-to-run-simple-Spark-Hello-World-scala-program-tp14718p14721.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: Fails to run simple Spark (Hello World) scala program
Hi Nanu/All
Now I interfacing an other strange (relatively to new complex framework)
error.
I run ./sbin/start-all.sh (my computer name after John nash) and got the
connection Connecting to master spark://nash:7077
running on my local machine yields
java.lang.ClassNotFoundException: com.example.scamel.Nizoz$$anonfun$3
But the class com.example.scamel.Nizoz (in fact Scala object) is the one
under debugging.
def main(args: Array[String]) {
println(scala.tools.nsc.Properties.versionString)
try {
//Nizoz.connect
val logFile =
"/home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md" // Should
be some file on your system
val conf = new SparkConf().setAppName("spark
town").setMaster("spark://nash:7077"); //spark://master:7077
val sc = new SparkContext(conf)
val logData = sc.textFile(logFile, 2).cache()
*val numAs = logData.filter(line => line.contains("a")).count()//
<- here is where the exception thrown *
Any help will be welcome
תודה רבה,
משה בארי.
054-3133943
Email | linkedin <http://www.linkedin.com/in/mobee>
On Sat, Sep 20, 2014 at 11:22 AM, Moshe Beeri wrote:
> Thank Manu,
>
> I just saw I have included hadoop client 2.x in my pom.xml, removing it
> solved the problem.
>
> Thanks for you help
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Fails-to-run-simple-Spark-Hello-World-scala-program-tp14718p14721.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> -
> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
> For additional commands, e-mail: user-h...@spark.apache.org
>
>
Re: Fails to run simple Spark (Hello World) scala program
Spark does not require Hadoop 2 or YARN. This looks like a problem with the
Hadoop installation as it is not funding native libraries it needs to make
some security related system call. Check the installation.
On Sep 20, 2014 9:13 AM, "Manu Suryavansh"
wrote:
> Hi Moshe,
>
> Spark needs a Hadoop 2.x/YARN cluster. Other wise you can run it without
> hadoop in the stand alone mode.
>
> Manu
>
>
>
> On Sat, Sep 20, 2014 at 12:55 AM, Moshe Beeri
> wrote:
>
>> object Nizoz {
>>
>> def connect(): Unit = {
>> val conf = new SparkConf().setAppName("nizoz").setMaster("master");
>> val spark = new SparkContext(conf)
>> val lines =
>>
>> spark.textFile("file:///home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md")
>> val lineLengths = lines.map(s => s.length)
>> val totalLength = lineLengths.reduce((a, b) => a + b)
>> println("totalLength=" + totalLength)
>>
>> }
>>
>> def main(args: Array[String]) {
>> println(scala.tools.nsc.Properties.versionString)
>> try {
>> //Nizoz.connect
>> val logFile =
>> "/home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md" // Should
>> be some file on your system
>> val conf = new SparkConf().setAppName("Simple
>> Application").setMaster("spark://master:7077")
>> val sc = new SparkContext(conf)
>> val logData = sc.textFile(logFile, 2).cache()
>> val numAs = logData.filter(line => line.contains("a")).count()
>> val numBs = logData.filter(line => line.contains("b")).count()
>> println("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
>>
>> } catch {
>> case e => {
>> println(e.getCause())
>> println("stack:")
>> e.printStackTrace()
>> }
>> }
>> }
>> }
>> Runs with Scala 2.10.4
>> The problem is this [vogue] exception:
>>
>> at com.example.scamel.Nizoz.main(Nizoz.scala)
>> Caused by: java.lang.RuntimeException:
>> java.lang.reflect.InvocationTargetException
>> at
>>
>> org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:131)
>> at org.apache.hadoop.security.Groups.(Groups.java:64)
>> at
>>
>> org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:240)
>> ...
>> Caused by: java.lang.reflect.InvocationTargetException
>> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
>> Method)
>> at
>>
>> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
>> at
>>
>> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
>> ...
>> ... 10 more
>> Caused by: java.lang.UnsatisfiedLinkError:
>> org.apache.hadoop.security.JniBasedUnixGroupsMapping.anchorNative()V
>> at
>> org.apache.hadoop.security.JniBasedUnixGroupsMapping.anchorNative(Native
>> Method)
>> at
>>
>> org.apache.hadoop.security.JniBasedUnixGroupsMapping.(JniBasedUnixGroupsMapping.java:49)
>>
>> I have Hadoop 1.2.1 running on Ubuntu 14.04, the Scala console run as
>> expected.
>>
>> What am I doing wrong?
>> Any idea will be welcome
>>
>>
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-user-list.1001560.n3.nabble.com/Fails-to-run-simple-Spark-Hello-World-scala-program-tp14718.html
>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>
>> -
>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
>> For additional commands, e-mail: user-h...@spark.apache.org
>>
>>
>
>
> --
> Manu Suryavansh
>
Re: Fails to run simple Spark (Hello World) scala program
Hi Sean,
Thanks a lot for the answer , I loved your excellent book
*Mahout in Action
<http://www.amazon.com/Mahout-Action-Sean-Owen/dp/1935182684> *hope you'll
keep on writing more books in the field of Big Data.
The issue was with redundant Hadoop library, But now I am facing some other
issue (see prev post in this thread)
java.lang.ClassNotFoundException: com.example.scamel.Nizoz$$anonfun$3
But the class com.example.scamel.Nizoz (in fact Scala object) is the one
under debugging.
def main(args: Array[String]) {
println(scala.tools.nsc.Properties.versionString)
try {
//Nizoz.connect
val logFile =
"/home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md" // Should
be some file on your system
val conf = new SparkConf().setAppName("spark
town").setMaster("spark://nash:7077"); //spark://master:7077
val sc = new SparkContext(conf)
val logData = sc.textFile(logFile, 2).cache()
*val numAs = logData.filter(line => line.contains("a")).count()//
<- here is where the exception thrown *
Do you have any idea whats wrong?
Thanks,
Moshe Beeri.
**
תודה רבה,
משה בארי.
054-3133943
Email | linkedin <http://www.linkedin.com/in/mobee>
On Sat, Sep 20, 2014 at 12:02 PM, sowen [via Apache Spark User List] <
ml-node+s1001560n14724...@n3.nabble.com> wrote:
> Spark does not require Hadoop 2 or YARN. This looks like a problem with
> the Hadoop installation as it is not funding native libraries it needs to
> make some security related system call. Check the installation.
> On Sep 20, 2014 9:13 AM, "Manu Suryavansh" <[hidden email]
> <http://user/SendEmail.jtp?type=node&node=14724&i=0>> wrote:
>
>> Hi Moshe,
>>
>> Spark needs a Hadoop 2.x/YARN cluster. Other wise you can run it without
>> hadoop in the stand alone mode.
>>
>> Manu
>>
>>
>>
>> On Sat, Sep 20, 2014 at 12:55 AM, Moshe Beeri <[hidden email]
>> <http://user/SendEmail.jtp?type=node&node=14724&i=1>> wrote:
>>
>>> object Nizoz {
>>>
>>> def connect(): Unit = {
>>> val conf = new SparkConf().setAppName("nizoz").setMaster("master");
>>> val spark = new SparkContext(conf)
>>> val lines =
>>>
>>> spark.textFile("file:///home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md")
>>> val lineLengths = lines.map(s => s.length)
>>> val totalLength = lineLengths.reduce((a, b) => a + b)
>>> println("totalLength=" + totalLength)
>>>
>>> }
>>>
>>> def main(args: Array[String]) {
>>> println(scala.tools.nsc.Properties.versionString)
>>> try {
>>> //Nizoz.connect
>>> val logFile =
>>> "/home/moshe/store/frameworks/spark-1.1.0-bin-hadoop1/README.md" //
>>> Should
>>> be some file on your system
>>> val conf = new SparkConf().setAppName("Simple
>>> Application").setMaster("spark://master:7077")
>>> val sc = new SparkContext(conf)
>>> val logData = sc.textFile(logFile, 2).cache()
>>> val numAs = logData.filter(line => line.contains("a")).count()
>>> val numBs = logData.filter(line => line.contains("b")).count()
>>> println("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
>>>
>>> } catch {
>>> case e => {
>>> println(e.getCause())
>>> println("stack:")
>>> e.printStackTrace()
>>> }
>>> }
>>> }
>>> }
>>> Runs with Scala 2.10.4
>>> The problem is this [vogue] exception:
>>>
>>> at com.example.scamel.Nizoz.main(Nizoz.scala)
>>> Caused by: java.lang.RuntimeException:
>>> java.lang.reflect.InvocationTargetException
>>> at
>>>
>>> org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:131)
>>> at org.apache.hadoop.security.Groups.(Groups.java:64)
>>> at
>>>
>>> org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:240)
>>> ...
>>> Caused by: java.lang.reflect.InvocationTargetException
>>> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
>>> Method)
>>> at
>>>
>>> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
>>> at
>>>
Re: Fails to run simple Spark (Hello World) scala program
t;>> val logData = sc.textFile(logFile, 2).cache()
>>>>> val numAs = logData.filter(line => line.contains("a")).count()
>>>>> val numBs = logData.filter(line => line.contains("b")).count()
>>>>> println("Lines with a: %s, Lines with b: %s".format(numAs,
>>>>> numBs))
>>>>>
>>>>> } catch {
>>>>> case e => {
>>>>> println(e.getCause())
>>>>> println("stack:")
>>>>> e.printStackTrace()
>>>>> }
>>>>> }
>>>>> }
>>>>> }
>>>>> Runs with Scala 2.10.4
>>>>> The problem is this [vogue] exception:
>>>>>
>>>>> at com.example.scamel.Nizoz.main(Nizoz.scala)
>>>>> Caused by: java.lang.RuntimeException:
>>>>> java.lang.reflect.InvocationTargetException
>>>>> at
>>>>>
>>>>> org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:131)
>>>>> at org.apache.hadoop.security.Groups.(Groups.java:64)
>>>>> at
>>>>>
>>>>> org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:240)
>>>>> ...
>>>>> Caused by: java.lang.reflect.InvocationTargetException
>>>>> at
>>>>> sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
>>>>> at
>>>>>
>>>>> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
>>>>> at
>>>>>
>>>>> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
>>>>> ...
>>>>> ... 10 more
>>>>> Caused by: java.lang.UnsatisfiedLinkError:
>>>>> org.apache.hadoop.security.JniBasedUnixGroupsMapping.anchorNative()V
>>>>> at
>>>>> org.apache.hadoop.security.JniBasedUnixGroupsMapping.anchorNative(Native
>>>>> Method)
>>>>> at
>>>>>
>>>>> org.apache.hadoop.security.JniBasedUnixGroupsMapping.(JniBasedUnixGroupsMapping.java:49)
>>>>>
>>>>> I have Hadoop 1.2.1 running on Ubuntu 14.04, the Scala console run as
>>>>> expected.
>>>>>
>>>>> What am I doing wrong?
>>>>> Any idea will be welcome
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> View this message in context:
>>>>> http://apache-spark-user-list.1001560.n3.nabble.com/Fails-to-run-simple-Spark-Hello-World-scala-program-tp14718.html
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Spark 1.2.1: ClassNotFoundException when running hello world example in scala 2.11
I'm having an issue with spark 1.2.1 and scala 2.11. I detailed the symptoms in this stackoverflow question. http://stackoverflow.com/questions/28612837/spark-classnotfoundexception-when-running-hello-world-example-in-scala-2-11 Has anyone experienced anything similar? Thank you!
Re: Unable to start Pi (hello world) application on Spark 1.4
Any thoughts on this ? On Fri, Jun 26, 2015 at 2:27 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) wrote: > It used to work with 1.3.1, however with 1.4.0 i get the following > exception > > > export SPARK_HOME=/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4 > export > SPARK_JAR=/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/spark-assembly-1.4.0-hadoop2.4.0.jar > export HADOOP_CONF_DIR=/apache/hadoop/conf > cd $SPARK_HOME > ./bin/spark-submit -v --master yarn-cluster --driver-class-path > /apache/hadoop/share/hadoop/common/hadoop-common-2.4.1-EBAY-2.jar:/apache/hadoop-2.4.1-2.1.3.0-2-EBAY/share/hadoop/yarn/lib/guava-11.0.2.jar > --jars > /apache/hadoop/lib/hadoop-lzo-0.6.0.jar,/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/datanucleus-api-jdo-3.2.6.jar,/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/datanucleus-core-3.2.10.jar,/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/datanucleus-rdbms-3.2.9.jar > --num-executors 1 --driver-memory 4g --driver-java-options > "-XX:MaxPermSize=2G" --executor-memory 2g --executor-cores 1 --queue > hdmi-express --class org.apache.spark.examples.SparkPi > ./lib/spark-examples*.jar 10 > > *Exception* > > 15/06/26 14:24:42 INFO client.ConfiguredRMFailoverProxyProvider: Failing > over to rm2 > > 15/06/26 14:24:42 WARN ipc.Client: Exception encountered while connecting > to the server : java.lang.IllegalArgumentException: Server has invalid > Kerberos principal: hadoop/x-y-rm-2.vip.cm@corp.cm.com > > > I remember getting this error when working Spark 1.2.x where in the way i > used to get > > */apache/hadoop/share/hadoop/common/hadoop-common-2.4.1-EBAY-2.jar* > > this library into cp. With 1.3.1 using --driver-class-path gets it running > but with 1.4 it does not work > > Please suggest. > > -- > Deepak > > -- Deepak
Re: Unable to start Pi (hello world) application on Spark 1.4
Figured it out. All the jars that are specified with driver-class-path are now exported through SPARK_CLASSPATH and its working now. I thought SPARK_CLASSPATH was dead. Looks like its flipping ON/OFF On Sun, Jun 28, 2015 at 12:55 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) wrote: > Any thoughts on this ? > > On Fri, Jun 26, 2015 at 2:27 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) > wrote: > >> It used to work with 1.3.1, however with 1.4.0 i get the following >> exception >> >> >> export SPARK_HOME=/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4 >> export >> SPARK_JAR=/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/spark-assembly-1.4.0-hadoop2.4.0.jar >> export HADOOP_CONF_DIR=/apache/hadoop/conf >> cd $SPARK_HOME >> ./bin/spark-submit -v --master yarn-cluster --driver-class-path >> /apache/hadoop/share/hadoop/common/hadoop-common-2.4.1-EBAY-2.jar:/apache/hadoop-2.4.1-2.1.3.0-2-EBAY/share/hadoop/yarn/lib/guava-11.0.2.jar >> --jars >> /apache/hadoop/lib/hadoop-lzo-0.6.0.jar,/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/datanucleus-api-jdo-3.2.6.jar,/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/datanucleus-core-3.2.10.jar,/home/dvasthimal/spark1.4/spark-1.4.0-bin-hadoop2.4/lib/datanucleus-rdbms-3.2.9.jar >> --num-executors 1 --driver-memory 4g --driver-java-options >> "-XX:MaxPermSize=2G" --executor-memory 2g --executor-cores 1 --queue >> hdmi-express --class org.apache.spark.examples.SparkPi >> ./lib/spark-examples*.jar 10 >> >> *Exception* >> >> 15/06/26 14:24:42 INFO client.ConfiguredRMFailoverProxyProvider: Failing >> over to rm2 >> >> 15/06/26 14:24:42 WARN ipc.Client: Exception encountered while connecting >> to the server : java.lang.IllegalArgumentException: Server has invalid >> Kerberos principal: hadoop/x-y-rm-2.vip.cm@corp.cm.com >> >> >> I remember getting this error when working Spark 1.2.x where in the way i >> used to get >> >> */apache/hadoop/share/hadoop/common/hadoop-common-2.4.1-EBAY-2.jar* >> >> this library into cp. With 1.3.1 using --driver-class-path gets it >> running but with 1.4 it does not work >> >> Please suggest. >> >> -- >> Deepak >> >> > > > -- > Deepak > > -- Deepak
Re: Spark 1.2.1: ClassNotFoundException when running hello world example in scala 2.11
Can you downgrade your scala dependency to 2.10 and give it a try? Thanks Best Regards On Fri, Feb 20, 2015 at 12:40 AM, Luis Solano wrote: > I'm having an issue with spark 1.2.1 and scala 2.11. I detailed the > symptoms in this stackoverflow question. > > > http://stackoverflow.com/questions/28612837/spark-classnotfoundexception-when-running-hello-world-example-in-scala-2-11 > > Has anyone experienced anything similar? > > Thank you! >
