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

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

由 泪湿孤枕 提交于 2019-11-26 07:40:00

问题


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>

回答1:


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>



回答2:


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.




回答3:


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:

  1. 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.)

  2. Move the jar into your spark cluster's jars directory.

  3. Submit your project again, wish it will help u.




回答4:


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.




回答5:


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




回答6:


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>



回答7:


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>



回答8:


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




回答9:


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




回答10:


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}.




回答11:


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>


来源：https://stackoverflow.com/questions/40287289/java-lang-noclassdeffounderror-org-apache-spark-logging

标签
java
maven
apache-spark
cassandra
spark-cassandra-connector
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