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Total time: 1555 s, completed 09.Tem.Ubuntu Server Free Download iso image in single direct link. (streaming-flume-sink/avro:generate) : Undefined name: “strıng” : Undefined name: “strıng”Īt .parse(Schema.java:1075)Īt .parse(Schema.java:1158)Īt .parse(Schema.java:1116)Īt .parseTypes(Protocol.java:438)Īt .parse(Protocol.java:400)Īt .parse(Protocol.java:390)Īt .parse(Protocol.java:380)Īt sbtavro.SbtAvro$$anonfun$sbtavro$SbtAvro$$compile$2.apply(SbtAvro.scala:81)Īt sbtavro.SbtAvro$$anonfun$sbtavro$SbtAvro$$compile$2.apply(SbtAvro.scala:78)Īt $class.foreach(ResizableArray.scala:59)Īt .foreach(ArrayBuffer.scala:47)Īt sbtavro.SbtAvro$.sbtavro$SbtAvro$$compile(SbtAvro.scala:78)Īt sbtavro.SbtAvro$$anonfun$sourceGeneratorTask$1$$anonfun$1.apply(SbtAvro.scala:112)Īt sbtavro.SbtAvro$$anonfun$sourceGeneratorTask$1$$anonfun$1.apply(SbtAvro.scala:111)Īt sbt.FileFunction$$anonfun$cached$1.apply(Tracked.scala:186)Īt sbt.FileFunction$$anonfun$cached$2$$anonfun$apply$3$$anonfun$apply$4.apply(Tracked.scala:200)Īt sbt.FileFunction$$anonfun$cached$2$$anonfun$apply$3$$anonfun$apply$4.apply(Tracked.scala:196)Īt (Tracked.scala:175)Īt (Tracked.scala:157)Īt sbt.FileFunction$$anonfun$cached$2$$anonfun$apply$3.apply(Tracked.scala:196)Īt sbt.FileFunction$$anonfun$cached$2$$anonfun$apply$3.apply(Tracked.scala:195)Īt (Tracked.scala:151)Īt sbt.FileFunction$$anonfun$cached$2.apply(Tracked.scala:195)Īt sbt.FileFunction$$anonfun$cached$2.apply(Tracked.scala:193)Īt sbtavro.SbtAvro$$anonfun$sourceGeneratorTask$1.apply(SbtAvro.scala:114)Īt sbtavro.SbtAvro$$anonfun$sourceGeneratorTask$1.apply(SbtAvro.scala:108)Īt scala.Function5$$anonfun$tupled$1.apply(Function5.scala:35)Īt scala.Function5$$anonfun$tupled$1.apply(Function5.scala:34)Īt scala.Function1$$anonfun$compose$1.apply(Function1.scala:47)Īt sbt.$tilde$greater$$anonfun$$u2219$1.apply(TypeFunctions.scala:40)Īt $$anon$4.work(System.scala:63)Īt sbt.Execute$$anonfun$submit$1$$anonfun$apply$1.apply(Execute.scala:226)Īt sbt.ErrorHandling$.wideConvert(ErrorHandling.scala:17)Īt sbt.Execute$$anonfun$submit$1.apply(Execute.scala:226)Īt sbt.ConcurrentRestrictions$$anon$4$$anonfun$1.apply(ConcurrentRestrictions.scala:159)Īt sbt.CompletionService$$anon$2.call(CompletionService.scala:28)Īt .run(FutureTask.java:262)Īt $RunnableAdapter.call(Executors.java:471)Īt .runWorker(ThreadPoolExecutor.java:1145)Īt $n(ThreadPoolExecutor.java:615) Scala> textFile.filter(_.contains("the")).count TextFile: .RDD = MappedRDD at textFile at :12 Try out some commands in the spark shell scala> val textFile=sc.textFile("README.md") $ sbt/sbt clean assembly Run an Example $ cd /usr/local/spark $ sudo chown -R parambirs:parambirs spark Build $ cd /usr/local/spark Please replace this with your own user/group name $ cd ~/Downloads Note: parambirs is my user name as well as group name on the ubuntu machine. $ sudo ln -s java-7-oracle jdk Download Spark Java version "1.7.0_55" Java(TM) SE Runtime Environment (build 1.7.0_55-b13) Java HotSpot(TM) 64-Bit Server VM (build 24.55-b03, mixed mode)Ĭreate a symlink for easier configuration later $ cd /usr/lib/jvm/ Verify the Java installation: $ java -version
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$ sudo apt-get install oracle-java7-installer Install JDK 7 $ sudo add-apt-repository ppa:webupd8team/java I personally use a virtual machine for testing out different big data softwares (Hadoop, Spark, Hive, etc.) and I’ve used LinuxMint 16 on VirtualBox 4.3.10 for the purpose of this blog post. This article describes the step-by-step approach to build and run Apache Spark 1.0.0-SNAPSHOT.
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