Ошибка java.lang.NoClassDefFoundError in spark applcaiton

Question

Я пытаюсь представить приложение jar для запуска с использованием/usr/local/spark # ./bin/spark-submit -class "DataframeExample" --master local [2] ~/new/hbfinance-module-1.0-SNAPSHOT.jar /. Я использую Apache Spark 1.5.0, а консоль показывает загрузку приложения, но с этим не удается.

mple --master local[2] ~/new/hbfinance-module-1.0-SNAPSHOT.jar/
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 
16/10/12 12:42:08 INFO SparkContext: Running Spark version 1.5.0 
16/10/12 12:42:09 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 
16/10/12 12:42:09 INFO SecurityManager: Changing view acls to: root 
16/10/12 12:42:09 INFO SecurityManager: Changing modify acls to: root 
16/10/12 12:42:09 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root) 
16/10/12 12:42:10 INFO Slf4jLogger: Slf4jLogger started 
16/10/12 12:42:10 INFO Remoting: Starting remoting 
16/10/12 12:42:10 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@178.62.18.22:44153] 
16/10/12 12:42:10 INFO Utils: Successfully started service 'sparkDriver' on port 44153. 
16/10/12 12:42:10 INFO SparkEnv: Registering MapOutputTracker 
16/10/12 12:42:10 INFO SparkEnv: Registering BlockManagerMaster 
16/10/12 12:42:10 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-2416dd91-f441-4618-8141-e97257cdd17b 
16/10/12 12:42:10 INFO MemoryStore: MemoryStore started with capacity 530.0 MB 
16/10/12 12:42:10 INFO HttpFileServer: HTTP File server directory is /tmp/spark-f80de7bc-6613-4125-b047-eae7574df54e/httpd-a9849575-8777-4e8d-a6df-fdb2a08a0b87 
16/10/12 12:42:10 INFO HttpServer: Starting HTTP Server 
16/10/12 12:42:11 INFO Utils: Successfully started service 'HTTP file server' on port 44964. 
16/10/12 12:42:11 INFO SparkEnv: Registering OutputCommitCoordinator 
16/10/12 12:42:11 INFO Utils: Successfully started service 'SparkUI' on port 4040. 
16/10/12 12:42:11 INFO SparkUI: Started SparkUI at http://178.62.18.22:4040 
16/10/12 12:42:11 INFO SparkContext: Added JAR file:/root/new/hbfinance-module-1.0-SNAPSHOT.jar at http://178.62.18.22:44964/jars/hbfinance-module-1.0-SNAPSHOT.jar with timestamp 1476290531299 
16/10/12 12:42:11 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set. 
16/10/12 12:42:11 INFO Executor: Starting executor ID driver on host localhost 
16/10/12 12:42:11 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 46409. 
16/10/12 12:42:11 INFO NettyBlockTransferService: Server created on 46409 
16/10/12 12:42:11 INFO BlockManagerMaster: Trying to register BlockManager 
16/10/12 12:42:11 INFO BlockManagerMasterEndpoint: Registering block manager localhost:46409 with 530.0 MB RAM, BlockManagerId(driver, localhost, 46409) 
16/10/12 12:42:11 INFO BlockManagerMaster: Registered BlockManager 
Exception in thread "main" java.lang.NoClassDefFoundError: com/mongodb/hadoop/MongoInputFormat 
    at com.hbfinance.DataframeExample.run(DataframeExample.java:47) 
    at com.hbfinance.DataframeExample.main(DataframeExample.java:88) 
    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:497) 
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) 
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) 
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) 
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) 
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 
Caused by: java.lang.ClassNotFoundException: com.mongodb.hadoop.MongoInputFormat 
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381) 
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424) 
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357) 
    ... 11 more 
16/10/12 12:42:11 INFO SparkContext: Invoking stop() from shutdown hook 
16/10/12 12:42:11 INFO SparkUI: Stopped Spark web UI at http://178.62.18.22:4040 
16/10/12 12:42:11 INFO DAGScheduler: Stopping DAGScheduler 
16/10/12 12:42:12 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 
16/10/12 12:42:12 INFO MemoryStore: MemoryStore cleared 
16/10/12 12:42:12 INFO BlockManager: BlockManager stopped 
16/10/12 12:42:12 INFO BlockManagerMaster: BlockManagerMaster stopped 
16/10/12 12:42:12 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 
16/10/12 12:42:12 INFO SparkContext: Successfully stopped SparkContext 
16/10/12 12:42:12 INFO ShutdownHookManager: Shutdown hook called 
16/10/12 12:42:12 INFO ShutdownHookManager: Deleting directory /tmp/spark-f80de7bc-6613-4125-b047-eae7574df54e 

не уверен, где ive пошло не так, если быть честным.

здесь мой файл pom.

<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/maven-v4_0_0.xsd"> 
<modelVersion>4.0.0</modelVersion> 
<groupId>com.hbfinance</groupId> 
<artifactId>hbfinance-module</artifactId> 
<packaging>jar</packaging> 
<version>1.0-SNAPSHOT</version> 
<name>hbfinance-module</name> 
<url>http://maven.apache.org</url> 
<dependencies> 
    <dependency> 
     <groupId>junit</groupId> 
     <artifactId>junit</artifactId> 
     <version>3.8.1</version> 
     <scope>test</scope> 
    </dependency> 
    <dependency> 
     <groupId>org.apache.spark</groupId> 
     <artifactId>spark-sql_2.11</artifactId> 
     <version>1.5.1</version> 
    </dependency> 
    <dependency> 
     <groupId>org.apache.spark</groupId> 
     <artifactId>spark-core_2.11</artifactId> 
     <version>1.5.1</version> 
    </dependency> 
    <dependency> 
     <groupId>log4j</groupId> 
     <artifactId>log4j</artifactId> 
     <version>1.2.14</version> 
    </dependency> 
    <dependency> 
     <groupId>org.mongodb.mongo-hadoop</groupId> 
     <artifactId>mongo-hadoop-core</artifactId> 
     <version>1.4.1</version> 
    </dependency> 
</dependencies> 
<build> 
    <plugins> 
     <plugin> 
      <groupId>org.apache.maven.plugins</groupId> 
      <artifactId>maven-compiler-plugin</artifactId> 
      <version>3.1</version> 
      <configuration> 
       <source>1.6</source> 
       <target>1.6</target> 
      </configuration> 
     </plugin> 
    </plugins> 
</build> 

хотя я должен добавить код Aswell.

public void run() { 
    JavaSparkContext sc = new JavaSparkContext(new SparkConf()); 
    // Set configuration options for the MongoDB Hadoop Connector. 
    Configuration mongodbConfig = new Configuration(); 
    // MongoInputFormat allows us to read from a live MongoDB instance. 
    // We could also use BSONFileInputFormat to read BSON snapshots. 
    mongodbConfig.set("mongo.job.input.format", "com.mongodb.hadoop.MongoInputFormat"); 

    // MongoDB connection string naming a collection to use. 
    // If using BSON, use "mapred.input.dir" to configure the directory 
    // where BSON files are located instead. 
    mongodbConfig.set("mongo.input.uri", 
     "mongodb://hadoopUser:Pocup1ne9@localhost:27017/hbdata.ppt_logs"); 
    // mongodbConfig.set("mongo.input.uri", 
    // "mongodb://hadoopUser:Pocup1ne9@localhost:27017/hbdata.ppa_logs"); 
    // mongodbConfig.set("mongo.input.uri", 
    // "mongodb://hadoopUser:Pocup1ne9@localhost:27017/hbdata.dd_logs"); 
    // mongodbConfig.set("mongo.input.uri", 
    // "mongodb://hadoopUser:Pocup1ne9@localhost:27017/hbdata.fav_logs"); 
    // mongodbConfig.set("mongo.input.uri", 
    // "mongodb://hadoopUser:Pocup1ne9@localhost:27017/hbdata.pps_logs"); 

    // Create an RDD backed by the MongoDB collection. 
    JavaPairRDD<Object, BSONObject> documents = sc.newAPIHadoopRDD(
     mongodbConfig,   // Configuration 
     MongoInputFormat.class, // InputFormat: read from a live cluster. 
     Object.class,    // Key class 
     BSONObject.class   // Value class 
    ); 

    JavaRDD<AppLog> logs = documents.map(

     new Function<Tuple2<Object, BSONObject>, AppLog>() { 

      public AppLog call(final Tuple2<Object, BSONObject> tuple) { 
       AppLog log = new AppLog(); 
       BSONObject header = 
       (BSONObject) tuple._2().get("headers"); 

       log.setTarget((String) header.get("target")); 
       log.setAction((String) header.get("action")); 

       return log; 
      } 
     } 
    ); 

    SQLContext sqlContext = new org.apache.spark.sql.SQLContext(sc); 

    DataFrame logsSchema = sqlContext.createDataFrame(logs, AppLog.class); 
    logsSchema.registerTempTable("logs"); 

    DataFrame groupedMessages = sqlContext.sql(
     "select target, action, Count(*) from logs group by target, action"); 
     // "SELECT to, body FROM messages WHERE to = \"eric.bass@enron.com\""); 



    groupedMessages.show(); 

    logsSchema.printSchema(); 
} 

public static void main(final String[] args) { 
    new DataframeExample().run(); 
} 

Answer 1

Try и открытый hbfinance-модуль-1,0-SNAPSHOT.jar в архив исследователя и посмотреть, какие файлы класса он содержит. По умолчанию Maven предназначен для включения только ваших собственных файлов классов в встроенную банку, а не зависимости. Когда вы запускаете локально на своем компьютере, зависимости уже существуют в пути к классам, поэтому вы не видите никаких ошибок, но когда вы отправляете его в Spark, файлы отсутствуют и генерируется исключение.

Вы можете решить эту проблему двумя способами:

1. Отправить все JAR-файлы для всех зависимостей Спарк following these steps.

2. Постройте «uber jar» модуля hbfinance с использованием плагина Maven Shade following these steps.