Exception in thread "main" java.lang.NoClassDefFoundError: org/spark_project/guava/cache/CacheLoader - maven

Question

When i am trying to execute my kafka spark project.
I am getting below error:
Exception in thread "main" java.lang.NoClassDefFoundError: org/spark_project/guava/cache/CacheLoader
at org.apache.spark.SparkConf.loadFromSystemProperties(SparkConf.scala:73)
at org.apache.spark.SparkConf.<init>(SparkConf.scala:68)
at org.apache.spark.SparkConf.<init>(SparkConf.scala:55)
I tried below methods which are already asked in the forum:
1) Added
<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.iot.app.kafka</groupId>
<artifactId>iot-kafka-producer</artifactId>
<version>1.0.0</version>
<name>IoT Kafka Producer</name>
<dependencies>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>0.9.0.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-network-common_2.11</artifactId>
<version>1.6.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming-kafka_2.10 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka_2.10</artifactId>
<version>1.6.3</version>
</dependency>
<!-- <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.11</artifactId>
<version>2.1.0</version> </dependency> -->
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-client -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.2.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>1.6.2</version>
</dependency>
<dependency>
<groupId>org.spark-project.spark</groupId>
<artifactId>unused</artifactId>
<version>1.0.0</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-core</artifactId>
<version>2.6.6</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>2.6.6</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-annotations</artifactId>
<version>2.6.6</version>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>19.0</version>
</dependency>
</dependencies>
Code:Spark Consumer code
package datapipeline;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Properties;
import java.util.Set;
import java.util.regex.Pattern;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.spark.SparkConf;
import org.apache.spark.SparkContext;
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.JavaPairDStream;
import org.apache.spark.streaming.api.java.JavaPairInputDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import org.apache.spark.streaming.kafka.KafkaUtils;
import kafka.serializer.StringDecoder;
import scala.Tuple2;
public class CustomerKafkaConsumerThread {
String broker;
private static final Pattern SPACE = Pattern.compile(" ");
public void sparkKafkaConsumer(String topics,String broker){
this.broker=broker;
SparkConf conf=new SparkConf().setAppName("CustomerKafkaConsumerThread").setMaster("local");
JavaStreamingContext jssc=new JavaStreamingContext(conf, new Duration(2000));
Map<String, String> kafkaParams=new HashMap<String, String>();
kafkaParams.put("metadata.broker.list",broker);
Set<String> topicSet=Collections.singleton(topics);
// Create direct kafka stream with brokers and topics
JavaPairInputDStream<String, String> messages=KafkaUtils.createDirectStream(
jssc,
String.class,
String.class,
StringDecoder.class,
StringDecoder.class,
kafkaParams,
topicSet);
JavaDStream<String> lines = messages.map(Tuple2::_2);
System.out.println("........." + lines);
JavaDStream<String> words = lines.flatMap(x -> Arrays.asList(SPACE.split(x)));
JavaPairDStream<String, Integer> wordCounts = words.mapToPair(s -> new Tuple2<>(s, 1))
.reduceByKey((i1, i2) -> i1 + i2);
wordCounts.print();
// Start the computation
jssc.start();
jssc.awaitTermination();
}
}
2) Removed google.guava jarfile from the build path in eclipse and added again as external jar.
But below two methods have not helped in my case.
Kindly someone help me in resolving this issue.Thanks in advance

Answer 1

You need to use same scala version in your dependencies. Please, try change spark-streaming-kafka_2.10 to spark-streaming-kafka_2.11:
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka_2.11</artifactId>
<version>1.6.3</version>
</dependency>
And use same spark version. For example 1.6.3:
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-network-common_2.11</artifactId>
<version>1.6.3</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka_2.10</artifactId>
<version>1.6.3</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>1.6.3</version>
</dependency>