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我编写了以下 Scala 代码，我的平台是 CentOS 6.5 上的 Cloudera CDH 5.2.1

教程.scala

import org.apache.spark
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.streaming._
import org.apache.spark.streaming.twitter._
import org.apache.spark.streaming.StreamingContext._
import TutorialHelper._

object Tutorial {
    def main(args: Array[String]) {
        val checkpointDir = TutorialHelper.getCheckPointDirectory()
        val consumerKey = "..."
        val consumerSecret = "..."
        val accessToken = "..."
        val accessTokenSecret = "..."
        try {
            TutorialHelper.configureTwitterCredentials(consumerKey, consumerSecret, accessToken, accessTokenSecret)
            val ssc = new StreamingContext(new SparkContext(), Seconds(1))
            val tweets = TwitterUtils.createStream(ssc, None)
            val tweetText = tweets.map(tweet => tweet.getText())
            tweetText.print()
            ssc.checkpoint(checkpointDir)
            ssc.start()
            ssc.awaitTermination()
        } finally {
            //ssc.stop()
        }
    }
}

我的 build.sbt 文件看起来像

import AssemblyKeys._ // put this at the top of the file

name := "Tutorial"

scalaVersion := "2.10.3"

libraryDependencies ++= Seq(
  "org.apache.spark" %% "spark-streaming" % "1.0.0" % "provided",
  "org.apache.spark" %% "spark-streaming-twitter" % "1.0.0"
)

resolvers += "Akka Repository" at "http://repo.akka.io/releases/"

resourceDirectory in Compile := baseDirectory.value / "resources"

assemblySettings

mergeStrategy in assembly := {
  case m if m.toLowerCase.endsWith("manifest.mf")          => MergeStrategy.discard
  case m if m.toLowerCase.matches("meta-inf.*\\.sf$")      => MergeStrategy.discard
  case "log4j.properties"                                  => MergeStrategy.discard
  case m if m.toLowerCase.startsWith("meta-inf/services/") => MergeStrategy.filterDistinctLines
  case "reference.conf"                                    => MergeStrategy.concat
  case _                                                   => MergeStrategy.first
}

我还创建了一个名为 projects/plugin.sbt 的文件，其中包含以下内容

addSbtPlugin("net.virtual-void" % "sbt-cross-building" % "0.8.1")
addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.9.1")

和项目/build.scala

import sbt._

object Plugins extends Build {
  lazy val root = Project("root", file(".")) dependsOn(
    uri("git://github.com/sbt/sbt-assembly.git#0.9.1")
  )
}

在此之后，我可以使用构建我的“超级”程序集

sbt assembly

现在我使用运行我的代码

sudo -u hdfs spark-submit --class Tutorial --master local /tmp/Tutorial-assembly-0.1-SNAPSHOT.jar

我得到错误

Configuring Twitter OAuth
        Property twitter4j.oauth.accessToken set as [...]
        Property twitter4j.oauth.consumerSecret set as [...]
        Property twitter4j.oauth.accessTokenSecret set as [...]
        Property twitter4j.oauth.consumerKey set as [...]

SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/cloudera/parcels/CDH-5.2.1-1.cdh5.2.1.p0.12/jars/spark-assembly-1.1.0-cdh5.2.1-hadoop2.5.0-cdh5.2.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/cloudera/parcels/CDH-5.2.1-1.cdh5.2.1.p0.12/jars/slf4j-log4j12-1.7.5.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]
14/12/21 16:04:30 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
-------------------------------------------
Time: 1419199472000 ms
-------------------------------------------

-------------------------------------------
Time: 1419199473000 ms
-------------------------------------------

14/12/21 16:04:33 ERROR ReceiverSupervisorImpl: Error stopping receiver 0org.apache.spark.Logging$class.log(Logging.scala:52)
org.apache.spark.streaming.twitter.TwitterReceiver.log(TwitterInputDStream.scala:60)
org.apache.spark.Logging$class.logInfo(Logging.scala:59)
org.apache.spark.streaming.twitter.TwitterReceiver.logInfo(TwitterInputDStream.scala:60)
org.apache.spark.streaming.twitter.TwitterReceiver.onStop(TwitterInputDStream.scala:101)
org.apache.spark.streaming.receiver.ReceiverSupervisor.stopReceiver(ReceiverSupervisor.scala:136)
org.apache.spark.streaming.receiver.ReceiverSupervisor.stop(ReceiverSupervisor.scala:112)
org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:127)
org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:106)
org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:264)
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2 回答 2

1

您需要使用 sbt 组装插件来准备具有所有依赖项的“组装”jar 文件。它应该包含所有 twitter 实用程序类。

链接：
1. https://github.com/sbt/sbt-assembly
2. http://prabstechblog.blogspot.com/2014/04/creating-single-jar-for-spark-project.html
3. http: //eugenezhulenev.com/blog/2014/10/18/run-tests-in-standalone-spark-cluster/

或者你可以看看我的 Spark-Twitter 项目，它配置了 sbt-assembly 插件：http ://eugenezhulenev.com/blog/2014/11/20/twitter-analytics-with-spark/

于 2014-12-21T20:32:15.673 回答
0

CDH 5.2 包 Spark 1.1.0，但你 build.sbt 使用的是 1.0.0。更新以下版本并重建应该可以解决您的问题。

 libraryDependencies ++= Seq(
   "org.apache.spark" %% "spark-streaming" % "1.0.0" % "provided",
   "org.apache.spark" %% "spark-streaming-twitter" % "1.0.0"
 )
于 2015-02-10T06:54:40.443 回答