If you are not using Spark submit to run the job, then you need to add the
following line:
sc.addJar("target/scala_2.11/spark.jar")
After creating the SparkContext, where the spark.jar is your project jar.
Thanks
Best Regards
On Thu, Dec 10, 2015 at 5:29 PM, Бобров Виктор <ma...@bk.ru> wrote:
> Build.sbt
>
>
>
> *name *:=
>
> *"spark"**version *:=
>
> *"1.0"**scalaVersion *:= *"2.11.7"*
>
>
>
> libraryDependencies ++= *Seq*(
> *"org.apache.spark" *% *"spark-core_2.11" *% *"1.5.1"*,
> *"org.apache.spark" *% *"spark-streaming_2.11" *% *"1.5.1"*,
> *"org.apache.spark" *% *"spark-mllib_2.11" *% *"1.5.1"*
>
>
>
>
>
> *From:* Бобров Виктор [mailto:ma...@bk.ru]
> *Sent:* Thursday, December 10, 2015 2:54 PM
> *To:* 'Harsh J' <ha...@cloudera.com>
> *Cc:* user@spark.apache.org
> *Subject:* RE: Can't filter
>
>
>
> Spark – 1.5.1, ty for help.
>
>
>
> *import *org.apache.spark.SparkContext
> *import *org.apache.spark.SparkContext._
> *import *org.apache.spark.SparkConf
> *import *scala.io.Source
>
>
> *object *SimpleApp {
> *def *main(args: Array[String]) {
> *var *A = scala.collection.mutable.Map[Array[String], Int]()
> *val *filename = *"C:**\\**Users**\\**bobrov**\\**IdeaProjects**\\*
> *spark**\\**file**\\*
> *spark1.txt" **for*((line, i) <- Source.*fromFile*
> (filename).getLines().zipWithIndex){
> *val *lst = line.split(*" "*)
> A += (lst -> i)
> }
>
> *def *filter1(tp: ((Array[String], Int), (Array[String], Int))):
> Boolean= {
> tp._1._2 < tp._2._2
> }
>
> *val *conf = *new *SparkConf().setMaster(*"spark://web01:7077"*
> ).setAppName(*"Simple Application"*)
> *val *sc = *new *SparkContext(conf)
> *val *mail_rdd = sc.parallelize(A.toSeq).cache()
> *val *step1 = mail_rdd.cartesian(mail_rdd)
> *val *step2 = step1.filter(filter1)
> //step1.collect().foreach(*println*)
> }
> }
>
>
>
> *From:* Harsh J [mailto:ha...@cloudera.com <ha...@cloudera.com>]
> *Sent:* Thursday, December 10, 2015 2:50 PM
> *To:* Бобров Виктор <ma...@bk.ru>; Ndjido Ardo Bar <ndj...@gmail.com>
> *Cc:* user@spark.apache.org
> *Subject:* Re: Can't filter
>
>
>
> Are you sure you do not have any messages preceding the trace, such as one
> quoting which class is found to be missing? That'd be helpful to see and
> suggest what may (exactly) be going wrong. It appear similar to
> https://issues.apache.org/jira/browse/SPARK-8368, but I cannot tell for
> certain cause I don't know if your code uses the SparkSQL features.
>
>
>
> Also, what version is your Spark running?
>
>
>
> I am able to run your program without a problem in Spark 1.5.x (with a
> sample Seq).
>
>
>
> On Thu, Dec 10, 2015 at 5:01 PM Бобров Виктор <ma...@bk.ru> wrote:
>
> 0 = {StackTraceElement@7132}
> "com.esotericsoftware.reflectasm.shaded.org.objectweb.asm.ClassReader.a(Unknown
> Source)"
>
> 1 = {StackTraceElement@7133}
> "com.esotericsoftware.reflectasm.shaded.org.objectweb.asm.ClassReader.<init>(Unknown
> Source)"
>
> 2 = {StackTraceElement@7134}
> "org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:40)"
>
> 3 = {StackTraceElement@7135}
> "org.apache.spark.util.ClosureCleaner$.getInnerClosureClasses(ClosureCleaner.scala:81)"
>
> 4 = {StackTraceElement@7136}
> "org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:187)"
>
> 5 = {StackTraceElement@7137}
> "org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122)"
>
> 6 = {StackTraceElement@7138}
> "org.apache.spark.SparkContext.clean(SparkContext.scala:2030)"
>
> 7 = {StackTraceElement@7139}
> "org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:331)"
>
> 8 = {StackTraceElement@7140}
> "org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:330)"
>
> 9 = {StackTraceElement@7141}
> "org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)"
>
> 10 = {StackTraceElement@7142}
> "org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)"
>
> 11 = {StackTraceElement@7143}
> "org.apache.spark.rdd.RDD.withScope(RDD.scala:306)"
>
> 12 = {StackTraceElement@7144}
> "org.apache.spark.rdd.RDD.filter(RDD.scala:330)"
>
> 13 = {StackTraceElement@7145}
> "SimpleApp$GeneratedEvaluatorClass$44$1.invoke(FileToCompile0.scala:30)"
>
> 14 = {StackTraceElement@7146} "SimpleApp$.main(test1.scala:26)"
>
> 15 = {StackTraceElement@7147} "SimpleApp.main(test1.scala)"
>
>
>
> *From:* Ndjido Ardo Bar [mailto:ndj...@gmail.com]
> *Sent:* Thursday, December 10, 2015 2:20 PM
> *To:* Бобров Виктор <ma...@bk.ru>
> *Cc:* user@spark.apache.org
> *Subject:* Re: Can't filter
>
>
>
> Please send your call stack with the full description of the exception .
>
>
> On 10 Dec 2015, at 12:10, Бобров Виктор <ma...@bk.ru> wrote:
>
> Hi, I can’t filter my rdd.
>
>
>
> *def *filter1(tp: ((Array[String], Int), (Array[String], Int))): Boolean=
> {
> tp._1._2 > tp._2._2
> }
> *val *mail_rdd = sc.parallelize(A.toSeq).cache()
> *val *step1 = mail_rdd.cartesian(mail_rdd)
> *val *step2 = step1.filter(filter1)
>
>
>
> Get error “Class not found”. What I’m doing wrong ? Thanks for help.
>
>
>
>
>
>
>
>
