Excepción en el hilo "principal" java.lang.NoClassDefFoundError: org / spark_project / guava / cache / CacheLoader
Cuando estoy tratando de ejecutar mi proyecto kafka spark. Me aparece el siguiente 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)
Intenté los siguientes métodos que ya se preguntan en el foro: 1) Agregué
<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>
Código: Código de consumidor de Sparkpackage 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) Se eliminó el archivo jar google.guava de la ruta de compilación en eclipse y se agregó nuevamente como archivo jar externo.
Pero a continuación dos métodos no han ayudado en mi caso.
Amablemente alguien me ayude a resolver este problema. Gracias de antemano