我总是遇到以下错误。有人可以帮我吗？
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
当我编译以下代码时。我已经在网上搜索了，但没有找到解决方案。添加saveToCassandra时出现错误。
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; } }
我的pom是以下内容。
<?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>
org.apache.spark.Logging在Spark版本1.5.2或更低版本中可用。它不在2.0.0中。请更改版本如下
<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>
