Zeppelin: java.lang.NoClassDefFoundError: org/apache/spark/Logging - scala

I'm trying to find trending hashtags on twitter using Spark streaming.
os -> mac os
spark-version -> 2.2.1
scala-version -> 2.11.8
zeppelin-version -> 0.7.3
Above tools and versions I'm using. I have added three different jars to my zeppelin notebook:
twitter4j-core-4.0.4.jar
twitter4j-stream-4.0.4.jar
spark-streaming-twitter_2.10-1.0.0.jar
import org.apache.spark._
import org.apache.spark.SparkContext._
import org.apache.spark.streaming._
import org.apache.spark.streaming.twitter._
import org.apache.spark.streaming.StreamingContext._
def setUpTwitter() = {
import scala.io.Source
for (line <- Source.fromFile("/Users/abhijeet/Documents/sparkscala/SparkScala/twitter.txt").getLines) {
val fields = line.split(" ")
if (fields.length == 2){
System.setProperty("twitter4j.oauth." + fields(0), fields(1))
}
}
}
setUpTwitter()
val ssc = new StreamingContext(sc, Seconds(1))
def setupLogging() = {
import org.apache.log4j.{Level, Logger}
val rootLogger = Logger.getRootLogger()
rootLogger.setLevel(Level.ERROR)
}
setupLogging()
Upto this point in code zeppelin worked fine
val tweets = TwitterUtils.createStream(ssc, None)
In above line it started throwing error
java.lang.NoClassDefFoundError: org/apache/spark/Logging
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:763)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:467)
at java.net.URLClassLoader.access$100(URLClassLoader.java:73)
at java.net.URLClassLoader$1.run(URLClassLoader.java:368)
at java.net.URLClassLoader$1.run(URLClassLoader.java:362)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:361)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:338)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at org.apache.spark.streaming.twitter.TwitterUtils$.createStream(TwitterUtils.scala:44)
... 56 elided
Caused by: java.lang.ClassNotFoundException: org.apache.spark.Logging
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:338)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 69 more
After that I found org.apache.spark.Logging is available in Spark version 1.5.2 or lower version. It is not in the 2.0.0.
My concern is I'm using Zeppelin. I have no pom file here or anything to change the version.
What is the way to resolve this error?
Any help would be greatly appreciated!
Thank you

I found the solution by adding the jar
spark-core_2.11-1.5.2.logging.jar

Had issues with this and found another solution that I thought people might want to try. I had better luck using the org.apache.bahir version 2.40 if you are in a later version of spark (I'm on 3.0).
<!-- https://mvnrepository.com/artifact/org.apache.bahir/spark-streaming-twitter -->
<dependency>
<groupId>org.apache.bahir</groupId>
<artifactId>spark-streaming-twitter_2.12</artifactId>
<version>2.4.0</version>
</dependency>

Related

Error while running a jar - Invalid signature file digest for Manifest main attributes

I have wrote small program in scala using spark 1.6.0 in intellij IDE, jar got build but its throwing error while running.
Please share your inputs to resolve this issue.
[cloudera#quickstart ~]$ spark-submit --master local --class com.sample.sample.sample /home/cloudera/Desktop/IdeaProjects.jar
Exception in thread "main" java.lang.SecurityException: Invalid signature file digest for Manifest main attributes
at sun.security.util.SignatureFileVerifier.processImpl(SignatureFileVerifier.java:286)
at sun.security.util.SignatureFileVerifier.process(SignatureFileVerifier.java:239)
at java.util.jar.JarVerifier.processEntry(JarVerifier.java:317)
at java.util.jar.JarVerifier.update(JarVerifier.java:228)
at java.util.jar.JarFile.initializeVerifier(JarFile.java:348)
at java.util.jar.JarFile.getInputStream(JarFile.java:415)
at sun.misc.JarIndex.getJarIndex(JarIndex.java:137)
at sun.misc.URLClassPath$JarLoader$1.run(URLClassPath.java:674)
at sun.misc.URLClassPath$JarLoader$1.run(URLClassPath.java:666)
at java.security.AccessController.doPrivileged(Native Method)
at sun.misc.URLClassPath$JarLoader.ensureOpen(URLClassPath.java:665)
at sun.misc.URLClassPath$JarLoader.<init>(URLClassPath.java:638)
at sun.misc.URLClassPath$3.run(URLClassPath.java:366)
at sun.misc.URLClassPath$3.run(URLClassPath.java:356)
at java.security.AccessController.doPrivileged(Native Method)
at sun.misc.URLClassPath.getLoader(URLClassPath.java:355)
at sun.misc.URLClassPath.getLoader(URLClassPath.java:332)
at sun.misc.URLClassPath.getResource(URLClassPath.java:198)
at java.net.URLClassLoader$1.run(URLClassLoader.java:358)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:270)
at org.apache.spark.util.Utils$.classForName(Utils.scala:177)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:688)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
I have tried options provided in existed thread like delete MANIFEST.MF file..etc , But no luck
package com.sample.sample
import org.apache.spark.sql.SQLContext
import org.apache.spark.{SparkConf, SparkContext}
object sample {
def main(args: Array[String]): Unit = {
println("Hello World")
val conf = new SparkConf().setAppName("JDBC App").setMaster("local")
val sc = new SparkContext(conf)
// val sc = new SparkConf()
val sqlContext = new SQLContext(sc)
val url ="jdbc:mysql://localhost:3306/retail_db?user=root&password=cloudera"
val df = sqlContext.read.format("jdbc").option("url", url).option("dbtable", "products").load()
df.printSchema()
}
}
Following is the command I am running:
spark-submit --master local --class com.sample.sample.sample /home/cloudera/Desktop/IdeaProjects.jar
expecting this code should work

Unable to create a stream in spark-streaming using kinesis stream

I am new to kinesis and i am trying to process the kinesis stream data with spark-streaming (Pyspark) and facing the below error
Below is my code: I am pushing twitter data to my kinesis stream and trying to process using Spark-streaming. I tried including --jars with all dependencies but still facing the same issue.Spark version -2.4.3 and also 2.3.3 with appropriate spark-streaming-kinesis-asl-assembly.jar
from pyspark.streaming.kinesis import KinesisUtils, InitialPositionInStream
from pyspark import SparkConf,SparkContext
from pyspark.sql import SparkSession
from pyspark import StorageLevel
from pyspark.streaming import StreamingContext
from pyspark.streaming.kinesis import KinesisUtils,
InitialPositionInStream
spark_session = SparkSession.builder.getOrCreate()
ssc = StreamingContext(spark_session.sparkContext, 10)
sc = spark_session.sparkContext
Kinesis_app_name = "test"
Kinesis_stream_name = "python-stream"
endpoint_url = "https://kinesis.us-east-1.amazonaws.com"
region_name = "us-east-1"
data = KinesisUtils.createStream(
ssc, Kinesis_app_name, Kinesis_stream_name, endpoint_url,
region_name, InitialPositionInStream.LATEST, 10, StorageLevel.MEMORY_AND_DISK_2)
data.pprint()
ssc.start() # Start the computation
ssc.awaitTermination()
I would like to process the stream using spark-streaming but getting the below error :
File "C:\spark-2.3.3-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\streaming\kinesis.py", line 92, in createStream
File "C:\spark-2.3.3-bin-hadoop2.7\python\lib\py4j-0.10.7-src.zip\py4j\java_gateway.py", line 1257, in __call__
File "C:\spark-2.3.3-bin-hadoop2.7\python\lib\py4j-0.10.7-src.zip\py4j\protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o27.createStream.
: java.lang.NoClassDefFoundError: com/amazonaws/services/kinesis/model/Record
at java.lang.Class.getDeclaredMethods0(Native Method)
at java.lang.Class.privateGetDeclaredMethods(Class.java:2701)
at java.lang.Class.getDeclaredMethods(Class.java:1975)
at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:232)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:159)
at org.apache.spark.SparkContext.clean(SparkContext.scala:2299)
at org.apache.spark.streaming.kinesis.KinesisUtils$.createStream(KinesisUtils.scala:127)
at org.apache.spark.streaming.kinesis.KinesisUtils$.createStream(KinesisUtils.scala:554)
at org.apache.spark.streaming.kinesis.KinesisUtilsPythonHelper.createStream(KinesisUtils.scala:616)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: com.amazonaws.services.kinesis.model.Record
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 20 more
I ran into the same issue. It ended up being that I had included just the spark-streaming-kinesis-asl jar. This jar does not contain the kinesis sdk as far as I'm aware. I fixed it by removing the lone jar and then using the package manager for the dependency with the spark-submit argument --packages org.apache.spark:spark-streaming-kinesis-asl_2.12:2.4.4. If you use the package manager but do not remove the offending jar, the program will not work. I hope this helps all who come across this error in the future.
Please see the solution below:
from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kinesis import KinesisUtils, InitialPositionInStream, StorageLevel
if __name__ == "__main__":
kinesisConf = {...} # I put all my credentials in here
batchInterval = 2000
kinesisCheckpointInterval = batchInterval
sc = SparkContext(appName="kinesis-stream")
ssc = StreamingContext(sc, batchInterval)
data = KinesisUtils.createStream(
ssc=ssc,
kinesisAppName=kinesisConf['appName'],
streamName=kinesisConf['streamName'],
endpointUrl=kinesisConf['endpointUrl'],
regionName=kinesisConf['regionName'],
initialPositionInStream=InitialPositionInStream.LATEST,
checkpointInterval=kinesisCheckpointInterval,
storageLevel=StorageLevel.MEMORY_AND_DISK_2,
awsAccessKeyId=kinesisConf['awsAccessKeyId'],
awsSecretKey=kinesisConf['awsSecretKey']
)
data.pprint()
ssc.start()
ssc.awaitTermination()
& when you run it, do it like so:
spark-submit --master local[8] --packages org.apache.spark:spark-streaming-kinesis-asl_2.12:3.0.0-preview ./streaming.py
2.12 -> refers to the scala version
3.0.0 -> refers to the spark version
Go here and make sure you select the correct params for that package

java.lang.ClassNotFoundException in scala program

I am trying to connect hbase from spark and I want to run scala jar file in spark-submit. Im not sure how to write classes in scala, can any one help
package com.jeevan.sparkhbase
import org.apache.spark._
import org.apache.spark.rdd.NewHadoopRDD
import org.apache.hadoop.hbase.{HBaseConfiguration, HTableDescriptor}
import org.apache.hadoop.hbase.client.HBaseAdmin
import org.apache.hadoop.hbase.mapreduce.TableInputFormat
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HColumnDescriptor
import org.apache.hadoop.hbase.util.Bytes
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.HTable;
class InsertData {
def main(arg: Array[String]) {
val conf = HBaseConfiguration.create()
val tableName = "emp"
conf.set(TableInputFormat.INPUT_TABLE, tableName)
val myTable = new HTable(conf, tableName);
var p = new Put(new String("row999").getBytes());
p.add("cf".getBytes(), "column_name".getBytes(), new String("value999").getBytes());
myTable.put(p);
myTable.flushCommits();
}
}
I used maven to build jar and want to execute this jar file with spark-submit. following is the spark-submit command i used to run the jar
spark-submit --class com.jeevan.sparkhbase.InsertData --master local[*] SHIntegration-0.0.1-SNAPSHOT-jar-with-dependencies.jar
I am getting this error
java.lang.ClassNotFoundException: com.jeevan.sparkhbase.InsertData
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.util.Utils$.classForName(Utils.scala:230)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:732)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
can someone how to write this above code with class and object. appreciate your help
A couple things could be wrong here including how you packaged your jar.
First, InsertData should be an object not a class.
object InsertData {
def main(arg: Array[String]) {
// stuff
}
}
Second, you aren't actually connecting to Spark anywhere. You'll need to add something like this in your app:
val spark = SparkSession.builder().appName(jobName).master("local[1]").getOrCreate()
Check out my spark-hello-world for a complete example project.

How to use phantom in scala main object

I'm trying to use phantom to handle my Cassandra
This is my example to learn how can I use phantom (thanks to Thiago)
https://github.com/iamthiago/cassandra-phantom
I can run successfully 'SongTest'.
But I have some trouble to run database.create in my scala main object.
Same code in 'scalatest' successfully run. But in my scala main object, it fail.
This is my source code
package com.cassandra.phantom.modeling
import com.cassandra.phantom.modeling.database._
import com.cassandra.phantom.modeling.connector._
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.duration._
/**
* Created by karamko on 2017. 3. 28..
*/
class TestCass extends EmbeddedDatabase with Connector.connector.Connector {
def create() {
database.create(5.seconds)
}
}
object Main extends App{
val test = new TestCass
test.create()
}
and This is my error
Exception in thread "main" java.lang.NoClassDefFoundError: scala/reflect/runtime/package$
at com.outworkers.phantom.column.AbstractColumn$class.com$outworkers$phantom$column$AbstractColumn$$_name(AbstractColumn.scala:55)
at com.outworkers.phantom.column.Column.com$outworkers$phantom$column$AbstractColumn$$_name$lzycompute(Column.scala:24)
at com.outworkers.phantom.column.Column.com$outworkers$phantom$column$AbstractColumn$$_name(Column.scala:24)
at com.outworkers.phantom.column.AbstractColumn$class.name(AbstractColumn.scala:58)
at com.outworkers.phantom.column.Column.name(Column.scala:24)
at com.outworkers.phantom.column.PrimitiveColumn.qb(PrimitiveColumn.scala:38)
at com.outworkers.phantom.builder.query.RootCreateQuery$$anonfun$lightweight$1.apply(CreateQuery.scala:48)
at com.outworkers.phantom.builder.query.RootCreateQuery$$anonfun$lightweight$1.apply(CreateQuery.scala:48)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.Set$Set4.foreach(Set.scala:200)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractSet.scala$collection$SetLike$$super$map(Set.scala:47)
at scala.collection.SetLike$class.map(SetLike.scala:92)
at scala.collection.AbstractSet.map(Set.scala:47)
at com.outworkers.phantom.builder.query.RootCreateQuery.lightweight(CreateQuery.scala:48)
at com.outworkers.phantom.builder.query.RootCreateQuery.ifNotExists(CreateQuery.scala:71)
at com.outworkers.phantom.CassandraTable.autocreate(CassandraTable.scala:92)
at com.cassandra.phantom.modeling.database.SongsDatabase$$anon$1$$anonfun$createQueries$1.apply(SongsDatabase.scala:15)
at com.cassandra.phantom.modeling.database.SongsDatabase$$anon$1$$anonfun$createQueries$1.apply(SongsDatabase.scala:15)
at com.outworkers.phantom.database.ExecutableCreateStatementsList.future(Database.scala:173)
at com.outworkers.phantom.database.Database.createAsync(Database.scala:85)
at com.outworkers.phantom.database.Database.create(Database.scala:75)
at com.cassandra.phantom.modeling.SongsStreaming$.main(Main.scala:29)
at com.cassandra.phantom.modeling.SongsStreaming.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
Caused by: java.lang.ClassNotFoundException: scala.reflect.runtime.package$
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 30 more
I solve my problem adding below dependency
libraryDependencies += "org.scala-lang" % "scala-reflect" % scalaVersion.value
Thanks a lot

Flink Kafka connector error in a Maven Scala project, using Intellij, Kafka 0.8.2, Java 7 and Scala 2.10

I tried to run the following code.
package test
import java.util.Properties
import org.apache.flink.streaming.api.scala.{StreamExecutionEnvironment, _}
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer08
import org.apache.flink.streaming.util.serialization.SimpleStringSchema
object FlinkKafkaStreaming {
def main(args: Array[String]) {
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.enableCheckpointing(5000)
val properties = new Properties()
properties.setProperty("bootstrap.servers", "www.iteblog.com:9092")
// only required for Kafka 0.8
properties.setProperty("zookeeper.connect", "www.iteblog.com:2181")
properties.setProperty("group.id", "iteblog")
val stream = env.addSource(new FlinkKafkaConsumer08[String]("iteblog",
new SimpleStringSchema(), properties))
stream.setParallelism(4).writeAsText("hdfs:///tmp/iteblog/data")
env.execute("IteblogFlinkKafkaStreaming")
}
}
But got the following error
/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/bin/java -Didea.launcher.port=7533 "-Didea.launcher.bin.path=/Applications/IntelliJ IDEA CE.app/Contents/bin" -Dfile.encoding=UTF-8 -classpath "/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/charsets.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/deploy.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/ext/dnsns.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/ext/localedata.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/ext/sunec.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/ext/sunjce_provider.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/ext/sunpkcs11.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/ext/zipfs.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/htmlconverter.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/javaws.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/jce.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/jfr.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/jfxrt.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/jsse.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/management-agent.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/plugin.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/resources.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre/lib/rt.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/lib/ant-javafx.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/lib/dt.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/lib/javafx-doclet.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/lib/javafx-mx.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/lib/jconsole.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/lib/sa-jdi.jar:/Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/lib/tools.jar:/Users/zhenhao.li/ethan-stream/target/classes:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-scala_2.10/1.0.2/flink-scala_2.10-1.0.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-core/1.0.2/flink-core-1.0.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-annotations/1.0.2/flink-annotations-1.0.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/commons/commons-lang3/3.3.2/commons-lang3-3.3.2.jar:/Users/zhenhao.li/.m2/repository/org/slf4j/slf4j-api/1.7.7/slf4j-api-1.7.7.jar:/Users/zhenhao.li/.m2/repository/org/slf4j/slf4j-log4j12/1.7.7/slf4j-log4j12-1.7.7.jar:/Users/zhenhao.li/.m2/repository/log4j/log4j/1.2.17/log4j-1.2.17.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/force-shading/1.0.2/force-shading-1.0.2.jar:/Users/zhenhao.li/.m2/repository/com/esotericsoftware/kryo/kryo/2.24.0/kryo-2.24.0.jar:/Users/zhenhao.li/.m2/repository/com/esotericsoftware/minlog/minlog/1.2/minlog-1.2.jar:/Users/zhenhao.li/.m2/repository/org/objenesis/objenesis/2.1/objenesis-2.1.jar:/Users/zhenhao.li/.m2/repository/org/apache/avro/avro/1.7.6/avro-1.7.6.jar:/Users/zhenhao.li/.m2/repository/org/codehaus/jackson/jackson-core-asl/1.9.13/jackson-core-asl-1.9.13.jar:/Users/zhenhao.li/.m2/repository/org/codehaus/jackson/jackson-mapper-asl/1.9.13/jackson-mapper-asl-1.9.13.jar:/Users/zhenhao.li/.m2/repository/com/thoughtworks/paranamer/paranamer/2.3/paranamer-2.3.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-shaded-hadoop2/1.0.2/flink-shaded-hadoop2-1.0.2.jar:/Users/zhenhao.li/.m2/repository/commons-cli/commons-cli/1.2/commons-cli-1.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/commons/commons-math3/3.5/commons-math3-3.5.jar:/Users/zhenhao.li/.m2/repository/xmlenc/xmlenc/0.52/xmlenc-0.52.jar:/Users/zhenhao.li/.m2/repository/commons-codec/commons-codec/1.4/commons-codec-1.4.jar:/Users/zhenhao.li/.m2/repository/commons-io/commons-io/2.4/commons-io-2.4.jar:/Users/zhenhao.li/.m2/repository/commons-net/commons-net/3.1/commons-net-3.1.jar:/Users/zhenhao.li/.m2/repository/commons-collections/commons-collections/3.2.1/commons-collections-3.2.1.jar:/Users/zhenhao.li/.m2/repository/javax/servlet/servlet-api/2.5/servlet-api-2.5.jar:/Users/zhenhao.li/.m2/repository/org/mortbay/jetty/jetty-util/6.1.26/jetty-util-6.1.26.jar:/Users/zhenhao.li/.m2/repository/com/sun/jersey/jersey-core/1.9/jersey-core-1.9.jar:/Users/zhenhao.li/.m2/repository/commons-el/commons-el/1.0/commons-el-1.0.jar:/Users/zhenhao.li/.m2/repository/commons-logging/commons-logging/1.1.3/commons-logging-1.1.3.jar:/Users/zhenhao.li/.m2/repository/com/jamesmurty/utils/java-xmlbuilder/0.4/java-xmlbuilder-0.4.jar:/Users/zhenhao.li/.m2/repository/commons-lang/commons-lang/2.6/commons-lang-2.6.jar:/Users/zhenhao.li/.m2/repository/commons-configuration/commons-configuration/1.7/commons-configuration-1.7.jar:/Users/zhenhao.li/.m2/repository/commons-digester/commons-digester/1.8.1/commons-digester-1.8.1.jar:/Users/zhenhao.li/.m2/repository/org/xerial/snappy/snappy-java/1.0.5/snappy-java-1.0.5.jar:/Users/zhenhao.li/.m2/repository/com/jcraft/jsch/0.1.42/jsch-0.1.42.jar:/Users/zhenhao.li/.m2/repository/org/apache/zookeeper/zookeeper/3.4.6/zookeeper-3.4.6.jar:/Users/zhenhao.li/.m2/repository/org/apache/commons/commons-compress/1.4.1/commons-compress-1.4.1.jar:/Users/zhenhao.li/.m2/repository/org/tukaani/xz/1.0/xz-1.0.jar:/Users/zhenhao.li/.m2/repository/commons-beanutils/commons-beanutils-bean-collections/1.8.3/commons-beanutils-bean-collections-1.8.3.jar:/Users/zhenhao.li/.m2/repository/commons-daemon/commons-daemon/1.0.13/commons-daemon-1.0.13.jar:/Users/zhenhao.li/.m2/repository/javax/xml/bind/jaxb-api/2.2.2/jaxb-api-2.2.2.jar:/Users/zhenhao.li/.m2/repository/javax/xml/stream/stax-api/1.0-2/stax-api-1.0-2.jar:/Users/zhenhao.li/.m2/repository/javax/activation/activation/1.1/activation-1.1.jar:/Users/zhenhao.li/.m2/repository/com/google/inject/guice/3.0/guice-3.0.jar:/Users/zhenhao.li/.m2/repository/javax/inject/javax.inject/1/javax.inject-1.jar:/Users/zhenhao.li/.m2/repository/aopalliance/aopalliance/1.0/aopalliance-1.0.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-java/1.0.2/flink-java-1.0.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-optimizer_2.10/1.0.2/flink-optimizer_2.10-1.0.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-runtime_2.10/1.0.2/flink-runtime_2.10-1.0.2.jar:/Users/zhenhao.li/.m2/repository/org/scala-lang/scala-reflect/2.10.4/scala-reflect-2.10.4.jar:/Users/zhenhao.li/.m2/repository/org/scala-lang/scala-library/2.10.4/scala-library-2.10.4.jar:/Users/zhenhao.li/.m2/repository/org/scala-lang/scala-compiler/2.10.4/scala-compiler-2.10.4.jar:/Users/zhenhao.li/.m2/repository/org/scalamacros/quasiquotes_2.10/2.0.1/quasiquotes_2.10-2.0.1.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-streaming-scala_2.10/1.0.2/flink-streaming-scala_2.10-1.0.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-streaming-java_2.10/1.0.2/flink-streaming-java_2.10-1.0.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-clients_2.10/1.0.2/flink-clients_2.10-1.0.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/commons/commons-math/2.2/commons-math-2.2.jar:/Users/zhenhao.li/.m2/repository/org/apache/sling/org.apache.sling.commons.json/2.0.6/org.apache.sling.commons.json-2.0.6.jar:/Users/zhenhao.li/.m2/repository/io/netty/netty-all/4.0.27.Final/netty-all-4.0.27.Final.jar:/Users/zhenhao.li/.m2/repository/org/javassist/javassist/3.18.2-GA/javassist-3.18.2-GA.jar:/Users/zhenhao.li/.m2/repository/com/typesafe/akka/akka-actor_2.10/2.3.7/akka-actor_2.10-2.3.7.jar:/Users/zhenhao.li/.m2/repository/com/typesafe/config/1.2.1/config-1.2.1.jar:/Users/zhenhao.li/.m2/repository/com/typesafe/akka/akka-remote_2.10/2.3.7/akka-remote_2.10-2.3.7.jar:/Users/zhenhao.li/.m2/repository/io/netty/netty/3.8.0.Final/netty-3.8.0.Final.jar:/Users/zhenhao.li/.m2/repository/com/google/protobuf/protobuf-java/2.5.0/protobuf-java-2.5.0.jar:/Users/zhenhao.li/.m2/repository/org/uncommons/maths/uncommons-maths/1.2.2a/uncommons-maths-1.2.2a.jar:/Users/zhenhao.li/.m2/repository/com/typesafe/akka/akka-slf4j_2.10/2.3.7/akka-slf4j_2.10-2.3.7.jar:/Users/zhenhao.li/.m2/repository/org/clapper/grizzled-slf4j_2.10/1.0.2/grizzled-slf4j_2.10-1.0.2.jar:/Users/zhenhao.li/.m2/repository/com/github/scopt/scopt_2.10/3.2.0/scopt_2.10-3.2.0.jar:/Users/zhenhao.li/.m2/repository/io/dropwizard/metrics/metrics-core/3.1.0/metrics-core-3.1.0.jar:/Users/zhenhao.li/.m2/repository/io/dropwizard/metrics/metrics-jvm/3.1.0/metrics-jvm-3.1.0.jar:/Users/zhenhao.li/.m2/repository/io/dropwizard/metrics/metrics-json/3.1.0/metrics-json-3.1.0.jar:/Users/zhenhao.li/.m2/repository/com/fasterxml/jackson/core/jackson-databind/2.4.2/jackson-databind-2.4.2.jar:/Users/zhenhao.li/.m2/repository/com/fasterxml/jackson/core/jackson-annotations/2.4.0/jackson-annotations-2.4.0.jar:/Users/zhenhao.li/.m2/repository/com/fasterxml/jackson/core/jackson-core/2.4.2/jackson-core-2.4.2.jar:/Users/zhenhao.li/.m2/repository/jline/jline/0.9.94/jline-0.9.94.jar:/Users/zhenhao.li/.m2/repository/junit/junit/3.8.1/junit-3.8.1.jar:/Users/zhenhao.li/.m2/repository/com/twitter/chill_2.10/0.7.4/chill_2.10-0.7.4.jar:/Users/zhenhao.li/.m2/repository/com/twitter/chill-java/0.7.4/chill-java-0.7.4.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-connector-kafka-0.8_2.10/1.1-SNAPSHOT/flink-connector-kafka-0.8_2.10-1.1-20160514.040356-150.jar:/Users/zhenhao.li/.m2/repository/org/apache/flink/flink-connector-kafka-base_2.10/1.1-SNAPSHOT/flink-connector-kafka-base_2.10-1.1-20160514.040350-150.jar:/Users/zhenhao.li/.m2/repository/org/apache/kafka/kafka_2.10/0.8.2.2/kafka_2.10-0.8.2.2.jar:/Users/zhenhao.li/.m2/repository/com/101tec/zkclient/0.7/zkclient-0.7.jar:/Users/zhenhao.li/.m2/repository/com/google/code/findbugs/jsr305/1.3.9/jsr305-1.3.9.jar:/Users/zhenhao.li/.m2/repository/org/apache/kafka/kafka-clients/0.8.2.2/kafka-clients-0.8.2.2.jar:/Users/zhenhao.li/.m2/repository/net/jpountz/lz4/lz4/1.2.0/lz4-1.2.0.jar:/Users/zhenhao.li/.m2/repository/com/yammer/metrics/metrics-core/2.2.0/metrics-core-2.2.0.jar:/Applications/IntelliJ IDEA CE.app/Contents/lib/idea_rt.jar" com.intellij.rt.execution.application.AppMain com.sky.ethan.stream.example.FlinkKafkaStreaming
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/flink/util/Preconditions
at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.<init>(FlinkKafkaConsumerBase.java:113)
at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer08.<init>(FlinkKafkaConsumer08.java:180)
at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer08.<init>(FlinkKafkaConsumer08.java:164)
at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer08.<init>(FlinkKafkaConsumer08.java:131)
at com.sky.ethan.stream.example.FlinkKafkaStreaming$.main(Example.scala:32)
at com.sky.ethan.stream.example.FlinkKafkaStreaming.main(Example.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:144)
Caused by: java.lang.ClassNotFoundException: org.apache.flink.util.Preconditions
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
... 11 more
Process finished with exit code 1
I played around it and found out that I couldn't call the constructor FlinkKafkaConsumer08. I used Kafka 0.8.2, Java 7 and Scala 2.10.
What might be wrong here?
It looks like a version mismatch between the version you compiled your program with and the version you use to run your program. Could you make sure that it is the same version?