エラーアプライアンスのjava.lang.NoClassDefFoundError

Question

私は、/ usr/local/spark＃./bin/spark-submit-class "DataframeExample" --master local [2]を使用して起動するjarアプリケーションを送信しようとしています。 〜/ new/hbfinance-module-1.0-SNAPSHOT.jar /。私はApache Spark 1.5.0を使用しています。コンソールにはアプリケーションがロードされているようですが、これで失敗します。

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 

iveが正直に間違っていたかわからない。

ここに私のpomファイル。私は、コードのaswellを追加する必要がありますけれども

<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> 

。

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

しようとすると、アーカイブエクスプローラで開いhbfinanceモジュール-1.0-SNAPSHOT.jarにとそれに含まれるどのようなクラスファイルが参照してください。デフォルトでは、Mavenは依存関係ではなく、ビルドされたjarファイルに自分のクラスファイルだけを含めるように設計されています。マシン上でローカルに実行すると、クラスパスに依存関係が既に存在するため、エラーは表示されませんが、Sparkに送信するとファイルが失われ、例外がスローされます。

次の2つの方法でこれを解決することができます。

1. はfollowing these stepsスパークするために、すべての依存関係のためにすべてのjar-ファイルを送信します。

2. Maven Shade Plugin following these stepsを使用して、hbfinance-moduleの "uber jar"を構築します。それはNoClassDefFoundErrorがを投げているよう