线程"main"中的异常java.lang.NoClassDefFoundError:org/apache/spark/Logging

Question

我是Spark的新手.我试图在Oracle VirtualBox 5.1.4r110228上运行CDH 5.8.0-0上的Spark应用程序(.jar),它利用Spark Steaming在twitter上执行情绪分析.我创建了自己的Twitter帐户,并生成了所有必需的(4)令牌.我被NoClassDefFoundError例外阻止了.

我一直在谷歌上搜索几天.到目前为止我发现的最好的建议是在下面的URL中,但显然我的环境仍然缺少一些东西.

http://javarevisited.blogspot.com/2011/06/noclassdeffounderror-exception-in.html#ixzz4Ia99dsp0

在Runile中缺少Compile中出现的库是什么意思？我们该如何解决这个问题？

什么是Logging库？我看到一篇文章说这个Logging可能会被弃用.除此之外,我确实在我的环境中看到了log4j.

在我的CDH 5.8中,我正在运行这些版本的软件:Spark-2.0.0-bin-hadoop2.7/spark-core_2.10-2.0.0 jdk-8u101-linux-x64/jre-bu101-linux-x64

我在最后添加了例外的细节.以下是我执行应用程序时执行的过程以及在执行异常后执行的一些验证:

1. 解压twitter-streaming.zip(Spark应用)
2. cd twitter-streaming
3. 运行./sbt/sbt汇编
4. 使用您的Twitter帐户更新env.sh

$ cat env.sh

export SPARK_HOME=/home/cloudera/spark-2.0.0-bin-hadoop2.7
export CONSUMER_KEY=<my_consumer_key>
export CONSUMER_SECRET=<my_consumer_secret>
export ACCESS_TOKEN=<my_twitterapp_access_token>
export ACCESS_TOKEN_SECRET=<my_twitterapp_access_token>

submit.sh脚本在env.sh中包含了spark-submit命令以及所需的凭据信息:

$ cat submit.sh

source ./env.sh
$SPARK_HOME/bin/spark-submit --class "TwitterStreamingApp" --master local[*] ./target/scala-2.10/twitter-streaming-assembly-1.0.jar $CONSUMER_KEY $CONSUMER_SECRET $ACCESS_TOKEN $ACCESS_TOKEN_SECRET

装配过程的日志:[cloudera @ quickstart twitter-streaming] $ ./sbt/sbt assembly

Launching sbt from sbt/sbt-launch-0.13.7.jar
[info] Loading project definition from /home/cloudera/workspace/twitter-streaming/project
[info] Set current project to twitter-streaming (in build file:/home/cloudera/workspace/twitter-streaming/)
[info] Including: twitter4j-stream-3.0.3.jar
[info] Including: twitter4j-core-3.0.3.jar
[info] Including: scala-library.jar
[info] Including: unused-1.0.0.jar
[info] Including: spark-streaming-twitter_2.10-1.4.1.jar
[info] Checking every *.class/*.jar file's SHA-1.
[info] Merging files...
[warn] Merging 'META-INF/LICENSE.txt' with strategy 'first'
[warn] Merging 'META-INF/MANIFEST.MF' with strategy 'discard'
[warn] Merging 'META-INF/maven/org.spark-project.spark/unused/pom.properties' with strategy 'first'
[warn] Merging 'META-INF/maven/org.spark-project.spark/unused/pom.xml' with strategy 'first'
[warn] Merging 'log4j.properties' with strategy 'discard'
[warn] Merging 'org/apache/spark/unused/UnusedStubClass.class' with strategy 'first'
[warn] Strategy 'discard' was applied to 2 files
[warn] Strategy 'first' was applied to 4 files
[info] SHA-1: 69146d6fdecc2a97e346d36fafc86c2819d5bd8f
[info] Packaging /home/cloudera/workspace/twitter-streaming/target/scala-2.10/twitter-streaming-assembly-1.0.jar ...
[info] Done packaging.
[success] Total time: 6 s, completed Aug 27, 2016 11:58:03 AM

不确定它的含义但是当我运行Hadoop NativeCheck时,一切看起来都很好:

$ hadoop checknative -a

16/08/27 13:27:22 INFO bzip2.Bzip2Factory: Successfully loaded & initialized native-bzip2 library system-native
16/08/27 13:27:22 INFO zlib.ZlibFactory: Successfully loaded & initialized native-zlib library
Native library checking:
hadoop:  true /usr/lib/hadoop/lib/native/libhadoop.so.1.0.0
zlib:    true /lib64/libz.so.1
snappy:  true /usr/lib/hadoop/lib/native/libsnappy.so.1
lz4:     true revision:10301
bzip2:   true /lib64/libbz2.so.1
openssl: true /usr/lib64/libcrypto.so

这是我的异常的控制台日志:$ ./submit.sh

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
16/08/28 20:13:23 INFO SparkContext: Running Spark version 2.0.0
16/08/28 20:13:24 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/08/28 20:13:24 WARN Utils: Your hostname, quickstart.cloudera resolves to a loopback address: 127.0.0.1; using 10.0.2.15 instead (on interface eth0)
16/08/28 20:13:24 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
16/08/28 20:13:24 INFO SecurityManager: Changing view acls to: cloudera
16/08/28 20:13:24 INFO SecurityManager: Changing modify acls to: cloudera
16/08/28 20:13:24 INFO SecurityManager: Changing view acls groups to: 
16/08/28 20:13:24 INFO SecurityManager: Changing modify acls groups to: 
16/08/28 20:13:24 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(cloudera); groups with view permissions: Set(); users  with modify permissions: Set(cloudera); groups with modify permissions: Set()
16/08/28 20:13:25 INFO Utils: Successfully started service 'sparkDriver' on port 37550.
16/08/28 20:13:25 INFO SparkEnv: Registering MapOutputTracker
16/08/28 20:13:25 INFO SparkEnv: Registering BlockManagerMaster
16/08/28 20:13:25 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-37a0492e-67e3-4ad5-ac38-40448c25d523
16/08/28 20:13:25 INFO MemoryStore: MemoryStore started with capacity 366.3 MB
16/08/28 20:13:25 INFO SparkEnv: Registering OutputCommitCoordinator
16/08/28 20:13:25 INFO Utils: Successfully started service 'SparkUI' on port 4040.
16/08/28 20:13:25 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://10.0.2.15:4040
16/08/28 20:13:25 INFO SparkContext: Added JAR file:/home/cloudera/workspace/twitter-streaming/target/scala-2.10/twitter-streaming-assembly-1.1.jar at spark://10.0.2.15:37550/jars/twitter-streaming-assembly-1.1.jar with timestamp 1472440405882
16/08/28 20:13:26 INFO Executor: Starting executor ID driver on host localhost
16/08/28 20:13:26 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 41264.
16/08/28 20:13:26 INFO NettyBlockTransferService: Server created on 10.0.2.15:41264
16/08/28 20:13:26 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 10.0.2.15, 41264)
16/08/28 20:13:26 INFO BlockManagerMasterEndpoint: Registering block manager 10.0.2.15:41264 with 366.3 MB RAM, BlockManagerId(driver, 10.0.2.15, 41264)
16/08/28 20:13:26 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 10.0.2.15, 41264)
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$1.run(URLClassLoader.java:362)
    at java.security.AccessController.doPrivileged(Native Method)I
    at java.net.URLClassLoader.findClass(URLClassLoader.java:361)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    at org.apache.spark.streaming.twitter.TwitterUtils$.createStream(TwitterUtils.scala:44)
    at TwitterStreamingApp$.main(TwitterStreamingApp.scala:42)
    at TwitterStreamingApp.main(TwitterStreamingApp.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.Logging
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    ... 23 more
16/08/28 20:13:26 INFO SparkContext: Invoking stop() from shutdown hook
16/08/28 20:13:26 INFO SparkUI: Stopped Spark web UI at http://10.0.2.15:4040
16/08/28 20:13:26 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
16/08/28 20:13:26 INFO MemoryStore: MemoryStore cleared
16/08/28 20:13:26 INFO BlockManager: BlockManager stopped
16/08/28 20:13:26 INFO BlockManagerMaster: BlockManagerMaster stopped
16/08/28 20:13:26 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
16/08/28 20:13:26 INFO SparkContext: Successfully stopped SparkContext
16/08/28 20:13:26 INFO ShutdownHookManager: Shutdown hook called
16/08/28 20:13:26 INFO ShutdownHookManager: Deleting directory /tmp/spark-5e29c3b2-74c2-4d89-970f-5be89d176b26

我明白我的帖子很冗长.非常感谢您的建议或见解!

-jsung8

Answer 1

org/apache/spark/Logging 在 Spark 1.5.2 之后被删除。

由于您的spark-core版本是2.0，那么最简单的解决方案是：

下载一个spark-core_2.11-1.5.2.logging.jar并将其放在spark根目录下的jars目录中。

无论如何，它解决了我的问题，希望有帮助。