gpt4 book ai didi

java - 错误 SparkContext : Error initializing SparkContext. 。 IntelliJ 和 Scala

转载 作者:行者123 更新时间:2023-11-30 07:09:09 25 4
gpt4 key购买 nike

我使用的是 Window 10、Scala 2.10.2、Spark 1.6.1 和 Java 1.8。下面是我尝试运行的代码。

import   org.apache.spark.SparkContext
import org.apache.spark.SparkConf

object WordsCount {
def main(args: Array[String]): Unit = {
val sparkConf = new SparkConf().setAppName("SparkWordCount").setMaster("local[2]")
val sc = new SparkContext(sparkConf)
val text = sc.textFile("shortTwitter.txt")
val counts = text.flatMap(line=>line.split(" ")).map(word=>(word,1)).reduceByKey(_+_)
counts.foreach(println)
}
}

我收到以下错误。

"C:\Program Files\Java\jdk1.8.0_101\bin\java" -Didea.launcher.port=7533 "-Didea.launcher.bin.path=C:\Program Files (x86)\JetBrains\IntelliJ IDEA Community Edition 2016.2.3\bin" -Dfile.encoding=UTF-8 -classpath "C:\Program        Files\Java\jdk1.8.0_101\jre\lib\charsets.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\deploy.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\access-bridge-64.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\cldrdata.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\dnsns.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\jaccess.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\jfxrt.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\localedata.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\nashorn.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\sunec.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\sunjce_provider.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\sunmscapi.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\sunpkcs11.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\ext\zipfs.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\javaws.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\jce.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\jfr.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\jfxswt.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\jsse.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\management-agent.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\plugin.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\resources.jar;C:\Program Files\Java\jdk1.8.0_101\jre\lib\rt.jar;C:\Users\Administrator\IdeaProjects\choi_jieun_assignment1\out\production\choi_jieun_assignment1;C:\scala\lib\jline.jar;C:\scala\lib\scalap.jar;C:\scala\lib\diffutils.jar;C:\scala\lib\akka-actors.jar;C:\scala\lib\scala-swing.jar;C:\scala\lib\scala-actors.jar;C:\scala\lib\scala-library.jar;C:\scala\lib\scala-partest.jar;C:\scala\lib\scala-reflect.jar;C:\scala\lib\scala-compiler.jar;C:\scala\lib\typesafe-config.jar;C:\scala\lib\scala-actors-migration.jar;C:\Users\Administrator\.ivy2\cache\org.scala-lang\scala-library\jars\scala-library-2.10.2.jar;C:\Users\Administrator\.ivy2\cache\org.scala-lang\scala-reflect\jars\scala-reflect-2.10.2.jar;C:\spark\lib\datanucleus-core-3.2.10.jar;C:\spark\lib\datanucleus-rdbms-3.2.9.jar;C:\spark\lib\spark-1.6.1-yarn-shuffle.jar;C:\spark\lib\datanucleus-api-jdo-3.2.6.jar;C:\spark\lib\spark-assembly-1.6.1-hadoop2.4.0.jar;C:\spark\lib\spark-examples-1.6.1-hadoop2.4.0.jar;C:\Program Files (x86)\JetBrains\IntelliJ IDEA Community Edition 2016.2.3\lib\idea_rt.jar" com.intellij.rt.execution.application.AppMain WordsCount

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/C:/spark/lib/spark-assembly-1.6.1-hadoop2.4.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/C:/spark/lib/spark-examples-1.6.1-hadoop2.4.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
16/09/14 16:03:21 INFO SparkContext: Running Spark version 1.6.1
16/09/14 16:03:22 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/09/14 16:03:22 INFO SecurityManager: Changing view acls to: Administrator
16/09/14 16:03:22 INFO SecurityManager: Changing modify acls to: Administrator
16/09/14 16:03:22 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(Administrator); users with modify permissions: Set(Administrator)
16/09/14 16:03:23 INFO Utils: Successfully started service 'sparkDriver' on port 50762.
16/09/14 16:03:23 ERROR SparkContext: Error initializing SparkContext.
java.lang.NoSuchMethodException: akka.remote.RemoteActorRefProvider.<init> (java.lang.String, akka.actor.ActorSystem$Settings, akka.event.EventStream, akka.actor.Scheduler, akka.actor.DynamicAccess)
at java.lang.Class.getConstructor0(Class.java:3082)
at java.lang.Class.getDeclaredConstructor(Class.java:2178)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$2.apply(DynamicAccess.scala:77)
at scala.util.Try$.apply(Try.scala:161)
at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:74)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:85)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:85)
at scala.util.Success.flatMap(Try.scala:200)
at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:85)
at akka.actor.ActorSystemImpl.<init>(ActorSystem.scala:546)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:111)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:104)
at org.apache.spark.util.AkkaUtils$.org$apache$spark$util$AkkaUtils$$doCreateActorSystem(AkkaUtils.scala:121)
at org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:53)
at org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:52)
at org.apache.spark.util.Utils$$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:1988)
at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:1979)
at org.apache.spark.util.AkkaUtils$.createActorSystem(AkkaUtils.scala:55)
at org.apache.spark.SparkEnv$.create(SparkEnv.scala:266)
at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:193)
at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:288)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:457)
at WordsCount$.main(WordsCount.scala:7)
at WordsCount.main(WordsCount.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
16/09/14 16:03:23 INFO SparkContext: Successfully stopped SparkContext
Exception in thread "main" java.lang.NoSuchMethodException: akka.remote.RemoteActorRefProvider.<init>(java.lang.String, akka.actor.ActorSystem$Settings, akka.event.EventStream, akka.actor.Scheduler, akka.actor.DynamicAccess)
at java.lang.Class.getConstructor0(Class.java:3082)
at java.lang.Class.getDeclaredConstructor(Class.java:2178)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$2.apply(DynamicAccess.scala:77)
at scala.util.Try$.apply(Try.scala:161)
at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:74)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:85)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:85)
at scala.util.Success.flatMap(Try.scala:200)
at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:85)
at akka.actor.ActorSystemImpl.<init>(ActorSystem.scala:546)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:111)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:104)
at org.apache.spark.util.AkkaUtils$.org$apache$spark$util$AkkaUtils$$doCreateActorSystem(AkkaUtils.scala:121)
at org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:53)
at org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:52)
at org.apache.spark.util.Utils$$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:1988)
at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:1979)
at org.apache.spark.util.AkkaUtils$.createActorSystem(AkkaUtils.scala:55)
at org.apache.spark.SparkEnv$.create(SparkEnv.scala:266)
at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:193)
at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:288)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:457)
at WordsCount$.main(WordsCount.scala:7)
at WordsCount.main(WordsCount.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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)

Process finished with exit code 1

我已经努力了几个小时来解决这个问题,但无法弄清楚。有人可以帮我吗?谢谢!

最佳答案

尝试安装 Java 7 JDK你可能会有更好的运气。尽管 Scala 2.10.2 的发行说明似乎缺失,2.10.4不支持 Java 8:

New ByteCode emitter based on ASM

Can target JDK 1.5, 1.6 and 1.7

Emits 1.6 bytecode by default

Old 1.5 backend is deprecated

...甚至2.11.x仅具有实验性 Java 8 支持:

The Scala 2.11.x series targets Java 6, with (evolving) experimental support for Java 8. In 2.11.1, Java 8 support is mostly limited to reading Java 8 bytecode and parsing Java 8 source. Stay tuned for more complete (experimental) Java 8 support. The next major release, 2.12, will most likely target Java 8 by default.

另请参阅:Can I use java 8 in an mixed scala 2.10 / java project built by sbt?

关于java - 错误 SparkContext : Error initializing SparkContext. 。 IntelliJ 和 Scala,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/39501111/

25 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com