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Chcę włączyć pojedyncze skupienie w Apache Spark, zainstalowałem java i scala. Ściągnąłem iskrę dla Apache Hadoop 2.6 i rozpakowałem. Próbuję włączyć iskrzące powłoki, ale wyrzucę mi błąd, a ponadto nie mam dostępu do sc w powłoce. Skompilowałem ze źródła, ale ten sam błąd. Co ja robię źle?Błąd Apache Spark podczas startu
Welcome to
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/___/ .__/\_,_/_/ /_/\_\ version 1.3.1
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Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_79)
Type in expressions to have them evaluated.
Type :help for more information.
java.net.BindException: Failed to bind to: ADMINISTRATOR.home/192.168.1.5:0: Service 'sparkDriver' failed after 16 retries!
\t at org.jboss.netty.bootstrap.ServerBootstrap.bind(ServerBootstrap.java:272)
\t at akka.remote.transport.netty.NettyTransport$$anonfun$listen$1.apply(NettyTransport.scala:393)
\t at akka.remote.transport.netty.NettyTransport$$anonfun$listen$1.apply(NettyTransport.scala:389)
\t at scala.util.Success$$anonfun$map$1.apply(Try.scala:206)
\t at scala.util.Try$.apply(Try.scala:161)
\t at scala.util.Success.map(Try.scala:206)
\t at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
\t at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
\t at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
\t at akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.processBatch$1(BatchingExecutor.scala:67)
\t at akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:82)
\t at akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:59)
\t at akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:59)
\t at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
\t at akka.dispatch.BatchingExecutor$Batch.run(BatchingExecutor.scala:58)
\t at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
\t at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
\t at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
\t at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
\t at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
\t at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
java.lang.NullPointerException
\t at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:145)
\t at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:49)
\t at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
\t at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
\t at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
\t at java.lang.reflect.Constructor.newInstance(Unknown Source)
\t at org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1027)
\t at $iwC$$iwC.<init>(<console>:9)
\t at $iwC.<init>(<console>:18)
\t at <init>(<console>:20)
\t at .<init>(<console>:24)
\t at .<clinit>(<console>)
\t at .<init>(<console>:7)
\t at .<clinit>(<console>)
\t at $print(<console>)
\t at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
\t at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
\t at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
\t at java.lang.reflect.Method.invoke(Unknown Source)
\t at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
\t at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1338)
\t at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
\t at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
\t at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
\t at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:856)
\t at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:901)
\t at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:813)
\t at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:130)
\t at org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:122)
\t at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324)
\t at org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:122)
\t at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64)
\t at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:973)
\t at org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:157)
\t at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64)
\t at org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:106)
\t at org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64)
\t at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:990)
\t at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
\t at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:944)
\t at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
\t at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:944)
\t at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1058)
\t at org.apache.spark.repl.Main$.main(Main.scala:31)
\t at org.apache.spark.repl.Main.main(Main.scala)
\t at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
\t at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
\t at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
\t at java.lang.reflect.Method.invoke(Unknown Source)
\t at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
\t at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
\t at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
\t at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
\t at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
<console>:10: error: not found: value sqlContext
import sqlContext.implicits._
^
<console>:10: error: not found: value sqlContext
import sqlContext.sql
^
scala>
Czy należy dodać formę tekstową wyjątku? Jakie są argumenty polecenia 'spark-shell.bat'? Czy próbowałeś 'spark-shell.bat --master local [*]' lub czego? –
z -Master próbował, ale nic: Próbowałem z parametem -master ale nie idzie – Mateusz
Powinieneś edytować pytanie z dodatkowymi informacjami o problemie i wyjątku. –