java.lang.NoClassDefFoundError: org/apache/spark/Logging

Question

I'm always getting the following error.Can somebody help me please?

Exception in thread "main" 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:331)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    at com.datastax.spark.connector.japi.DStreamJavaFunctions.<init>(DStreamJavaFunctions.java:24)
    at com.datastax.spark.connector.japi.CassandraStreamingJavaUtil.javaFunctions(CassandraStreamingJavaUtil.java:55)
    at SparkStream.main(SparkStream.java:51)
    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: 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:331)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    ... 20 more

When I compile the following code. I've searched the web but didn't find a solution. I've got the error when I added the saveToCassandra.

import com.datastax.spark.connector.japi.CassandraStreamingJavaUtil;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.streaming.Duration;
import org.apache.spark.streaming.api.java.JavaDStream;
import org.apache.spark.streaming.api.java.JavaPairInputDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import org.apache.spark.streaming.kafka.KafkaUtils;

import java.io.Serializable;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
import java.util.Set;

import static com.datastax.spark.connector.japi.CassandraJavaUtil.mapToRow;

/**
 * Created by jonas on 10/10/16.
 */
public class SparkStream implements Serializable{
        public static void main(String[] args) throws Exception{
        SparkConf conf = new SparkConf(true)
                .setAppName("TwitterToCassandra")
                .setMaster("local[*]")
                .set("spark.cassandra.connection.host", "127.0.0.1")
                .set("spark.cassandra.connection.port", "9042");
;
        JavaSparkContext sc = new JavaSparkContext(conf);
        JavaStreamingContext ssc = new JavaStreamingContext(sc, new Duration(5000));

        Map<String, String> kafkaParams = new HashMap<>();
        kafkaParams.put("bootstrap.servers", "localhost:9092");
        Set<String> topics = Collections.singleton("Test");

        JavaPairInputDStream<String, String> directKafkaStream = KafkaUtils.createDirectStream(
                ssc,
                String.class,
                String.class,
                kafka.serializer.StringDecoder.class,
                kafka.serializer.StringDecoder.class,
                kafkaParams,
                topics
        );

        JavaDStream<Tweet> createTweet = directKafkaStream.map(s -> createTweet(s._2));


        CassandraStreamingJavaUtil.javaFunctions(createTweet)
                .writerBuilder("mykeyspace", "rawtweet", mapToRow(Tweet.class))
                .saveToCassandra();

        ssc.start();
        ssc.awaitTermination();

    }


    public static Tweet createTweet(String rawKafka){
        String[] splitted = rawKafka.split("\\|");
        Tweet t = new Tweet(splitted[0], splitted[1], splitted[2], splitted[3]);
        return t;
    }
}

My pom is the following.

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.company</groupId>
    <artifactId>Sentiment</artifactId>
    <version>1.0-SNAPSHOT</version>
    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                </configuration>
            </plugin>
        </plugins>
    </build>

    <repositories>
        <repository>
            <id>twitter4j.org</id>
            <name>twitter4j.org Repository</name>
            <url>http://twitter4j.org/maven2</url>
            <releases>
                <enabled>true</enabled>
            </releases>
            <snapshots>
                <enabled>true</enabled>
            </snapshots>
        </repository>
    </repositories>

    <dependencies>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.11</artifactId>
            <version>2.0.1</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.10</artifactId>
            <version>2.0.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.10</artifactId>
            <version>2.0.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming-kafka-0-8_2.11</artifactId>
            <version>2.0.1</version>
        </dependency>


        <!-- https://mvnrepository.com/artifact/org.scala-lang/scala-library -->
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>2.11.8</version>
        </dependency>



        <!-- https://mvnrepository.com/artifact/com.datastax.spark/spark-cassandra-connector_2.10 -->
        <dependency>
            <groupId>com.datastax.spark</groupId>
            <artifactId>spark-cassandra-connector_2.10</artifactId>
            <version>1.6.2</version>
        </dependency>

        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.10</artifactId>
            <version>0.9.0.0</version>
        </dependency>

        <dependency>
            <groupId>org.twitter4j</groupId>
            <artifactId>twitter4j-core</artifactId>
            <version>[4.0,)</version>
        </dependency>

        <dependency>
            <groupId>org.twitter4j</groupId>
            <artifactId>twitter4j-stream</artifactId>
            <version>4.0.4</version>
        </dependency>

        <dependency>
            <groupId>org.twitter4j</groupId>
            <artifactId>twitter4j-async</artifactId>
            <version>4.0.4</version>
        </dependency>
    </dependencies>


</project>

Chandana Kumara · Accepted Answer · 2016-10-27T14:47:50.817

14

org.apache.spark.Logging is available in Spark version 1.5.2 or lower version. It is not in the 2.0.0. Pls change versions as follows

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming_2.11</artifactId>
        <version>1.5.2</version>
    </dependency>

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>1.5.2</version>
    </dependency>

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.10</artifactId>
        <version>1.5.2</version>
    </dependency>

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming-kafka-0-8_2.11</artifactId>
        <version>1.6.2</version>
    </dependency>

edited Oct 27 '16 at 14:47

answered Oct 27 '16 at 14:41

Chandana Kumara

2,485
1
22
25

Thank you very much – Jonas Cristens Oct 27 '16 at 14:58
18

then what is the use of using higher version of spark? How to do it 2.x version spark – jack AKA karthik Apr 14 '17 at 05:50
This fails to build: The POM for org.apache.spark:spark-streaming-kafka-0-8_2.11:jar:1.6.2 is missing, no dependency information available – Stepan Yakovenko Dec 07 '18 at 05:44
Try to download from web and copy to your location. This may help to download the jar. https://jar-download.com/?search_box=spark-streaming-kafka-0-8_2.11-2.2.0&p=2 – Chandana Kumara Dec 07 '18 at 05:58

RussS · Answer 2 · 2017-11-09T18:28:18.530

10

The error is because you are using Spark 2.0 libraries with the connector from Spark 1.6 (which looks for the Spark 1.6 logging class. Use the 2.0.5 version of the connector.

edited Nov 09 '17 at 18:28

answered Oct 27 '16 at 17:21

RussS

16,476
1
34
62

2

What if you are using pyspark? – GreenThumb May 05 '17 at 06:36
The answer is the same – RussS May 05 '17 at 06:59
Thank you @RussS seems like the best solution, I can't find how to update the connector on python, does anyone know how to? – Simon30 Jun 26 '19 at 10:28

score 5 · Answer 3 · answered Jan 23 '18 at 08:13

It's because of the missing of org.apache.spark.Logging class since 1.5.2, just like everybody say. (Only org.apache.spark.internal.Logging exists in later version... )

But it seems none of the solution against maven can solve this dependency, so I just try to add this class to lib manually. Here is my way to fixed the problem:

Package the scala org.apache.spark.internal.Logging into a public jar. Or download it from https://raw.githubusercontent.com/swordsmanliu/SparkStreamingHbase/master/lib/spark-core_2.11-1.5.2.logging.jar (Thanks to this host.)
Move the jar into your spark cluster's jars directory.
Submit your project again, wish it will help u.

score 3 · Answer 4 · edited Nov 10 '17 at 06:54

I got the solution by changing above mention jar.

Initially, I was having degraded jar for spark-kafka-streaming:

<dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming-kafka-0-8_2.11</artifactId>
        <version>2.1.1</version></dependency>

I also removed multilple sl4j-log4j.jars and log4j.jars which I had added externally from spark and kafka jar library.

score 2 · Answer 5 · edited Nov 11 '20 at 16:06

2

if you're using IntelliJ, just check the 'include dependencies with provided scope' box and that will fix the issue for you without mucking around with the pom or manually downloading the files.

edited Nov 11 '20 at 16:06

Dharman

30,962
25
85
135

answered Nov 11 '20 at 16:00

shivangi kulshrestha

163
1
11

I was using IntelliJ and this solution helped me. Thank you! :) – Vasanth Subramanian Nov 06 '22 at 17:45

score 1 · Answer 6 · answered Oct 29 '17 at 22:07

Download spark-core_2.11-1.5.2.logging.jar and use as --jar option

spark-submit --class com.SentimentTwiteer --packages "org.apache.spark:spark-streaming-twitter_2.11:1.6.3" --jars /root/Desktop/spark-core_2.11-1.5.2.logging.jar /root/Desktop/SentimentTwiteer.jar consumerKey consumerSecret accessToken accessTokenSecret yoursearchTag

https://github.com/sinhavicky4/SentimentTwiteer

score 0 · Answer 7 · answered Jun 12 '17 at 09:20

One reason that may cause this problem is lib and class conflict. I faced this problem and solved it using some maven exclusions:

<dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-core_2.11</artifactId>
       <version>2.0.0</version>
       <scope>provided</scope>
       <exclusions>
           <exclusion>
               <groupId>log4j</groupId>
               <artifactId>log4j</artifactId>
           </exclusion>
       </exclusions>
   </dependency>

   <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-streaming_2.11</artifactId>
       <version>2.0.0</version>
       <scope>provided</scope>
   </dependency>

   <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
       <version>2.0.0</version>
       <exclusions>
           <exclusion>
               <groupId>org.slf4j</groupId>
               <artifactId>slf4j-log4j12</artifactId>
           </exclusion>
           <exclusion>
               <groupId>log4j</groupId>
               <artifactId>log4j</artifactId>
           </exclusion>
       </exclusions>
   </dependency>

score 0 · Answer 8 · answered Aug 17 '17 at 07:11

this pom.xml is resolve my issue:

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.10</artifactId>
            <version>1.6.1</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.10</artifactId>
            <version>1.6.1</version>
        </dependency>

score 0 · Answer 9 · answered Oct 29 '17 at 05:30

Downloaded the jar and use --jars in spark-submit ,worked for me spark-submit --class com.SentimentTwiteer --packages "org.apache.spark:spark-streaming-twitter_2.11:1.6.3" --jars /root/Desktop/spark-core_2.11-1.5.2.logging.jar /root/Desktop/SentimentTwiteer.jar XX XX XX XX

score 0 · Answer 10 · answered Sep 23 '18 at 04:33

0

Download the below Jar ,and it into you library ,and it will work as expected.

https://raw.githubusercontent.com/swordsmanliu/SparkStreamingHbase/master/lib/spark-core_2.11-1.5.2.logging.jar

answered Sep 23 '18 at 04:33

Sampat Kumar

492
1
6
14

score -2 · Answer 11 · answered Jun 15 '17 at 10:57

its a version issue try with latest version

<dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>2.1.0</version>
            <scope>provided</scope>
        </dependency>
         <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming-kafka-0-8_2.11</artifactId>
            <version>2.1.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.11</artifactId>
            <version>2.1.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>2.1.0</version>
        </dependency>

score -2 · Answer 12 · answered Aug 02 '17 at 09:59

-2

Missing logging Jar in your dependency jars list. Try to download "spark-core_2.11-1.5.2.logging" jar from mvn repository, then add it as external jar to your spark project, you don't get "java.lang.NoClassDefFoundError: org/apache/spark/Logging" error. Based on scala version you can download the jar{2.10,2.11,etc}.

answered Aug 02 '17 at 09:59

Narendra Reddy

1

Why downloading and add as external jar. Why not add it as dependency directly in the pom? – Jens Aug 02 '17 at 10:28
Yes I agree with you comment, think if you have installed higher than spark 1.5.2 (ex 2.x.x)in your system what is the use to downloading of all jars related to 1.5.2 version, does it make sense ?, it will through an error like version compatibility. – Narendra Reddy Aug 02 '17 at 15:48
I added jar to dependencies .still no go.. Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/spark/Logging at java.lang.ClassLoader.defineClass1(Native Method) at java.lang.ClassLoader.defineClass(ClassLoader.java:763) at – Priyanshu Singh Oct 29 '17 at 04:56
Downloaded the jar and use --jars in spark-submit spark-submit --class com.SentimentTwiteer --packages "org.apache.spark:spark-streaming-twitter_2.11:1.6.3" --jars /root/Desktop/spark-core_2.11-1.5.2.logging.jar /root/Desktop/SentimentTwiteer.jar XX XX XX XX – Priyanshu Singh Oct 29 '17 at 05:28

java.lang.NoClassDefFoundError: org/apache/spark/Logging

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