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如果我以“sbt run”运行，下面的简单spark程序运行得非常好。但如果我跑，Spark Streaming throwing java.net.ConnectException
1）作为“spark-submit.cmd eventfilter-assembly-0.1-SNAPSHOT.jar”。其中jar是使用“sbt assembly”与“streaming and sql”的sbt规则创建的“％provided”创建的。
2）作为“spark-submit.cmd --jar play-json_2.10-2.3.10.jar seventfilter_2.10-0.1-SNAPSHOT.jar”。
这两种情况下，它都会启动并等待新文件的到来。直到现在没有问题。
但是，只要我开始放置文件，以便它可以流式传输，下面的异常来了。
注：我使用的火花1.4.1彬hadoop2.6，
注：如果说我是“SBT运行”运行时，它运行平稳几个小时。
注意：我也尝试过1.5.2，通过相应地更改sbt文件。行为是一样的。
Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.net.ConnectException: Connection timed out: connect
at java.net.DualStackPlainSocketImpl.waitForConnect(Native Method)
at java.net.DualStackPlainSocketImpl.socketConnect(DualStackPlainSocketImpl.java:85)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.PlainSocketImpl.connect(PlainSocketImpl.java:172)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at sun.net.NetworkClient.doConnect(NetworkClient.java:175)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:432)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:527)
at sun.net.www.http.HttpClient.<init>(HttpClient.java:211)
at sun.net.www.http.HttpClient.New(HttpClient.java:308)
at sun.net.www.http.HttpClient.New(HttpClient.java:326)
at sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1168)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1104)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:998)
at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:932)
at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:639)
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:453)
at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:398)
at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:390)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:390)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
SBT文件
scalaVersion := "2.10.4"
libraryDependencies += "org.apache.spark" %% "spark-streaming" % "1.4.1"
libraryDependencies += "org.apache.spark" %% "spark-sql" % "1.4.1"
libraryDependencies += "com.typesafe.play" %% "play-json" % "2.3.10"
斯卡拉文件
def main(args: Array[String]) {
val conf = new SparkConf()
conf
.setMaster("local[*]") //Comment if executing through spark-submit
.setAppName("test")
val sc = new SparkContext(conf)
val ssc = new StreamingContext(sc, Seconds(3))
val dStream = ssc.textFileStream("dir")
val expandedEventStream = dStream.count().print()
ssc.start()
ssc.awaitTermination()
}