为什么 sparkcontext 停止了？

Question

我在 hadoop 上配置了 spark。 spark 是 1.5.2，hadoop 是 2.7.2，我从 jps、端口 8080（hadoop）和端口 8088（spark）检查了 spark 和 hadoop 运行良好。我访问了“spark-shell --master yarn-client”。接下来，我创建了 sparkcontext，出现了以下日志。我完全不知道为什么显示此日志。 “停止 SparkContext”是什么意思？我刚刚制作了sparkcontext。 sparkcontext 怎么会停止呢？ sparkcontext 没有启动吗？

你能告诉我任何想法吗？

scala> val lines = sc.textFile("README.md")
java.lang.IllegalStateException: Cannot call methods on a stopped SparkContext
    at
org.apache.spark.SparkContext.org$apache$spark$SparkContext$$assertNotStopped(SparkContext.scala:104)
    at
org.apache.spark.SparkContext.defaultParallelism(SparkContext.scala:2063)
    at
org.apache.spark.SparkContext.defaultMinPartitions(SparkContext.scala:2076)
    at
org.apache.spark.SparkContext.textFile$default$2(SparkContext.scala:825)
    at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:21)
    at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:26)
    at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:28)
    at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:30)
    at $iwC$$iwC$$iwC$$iwC.<init>(<console>:32)
    at $iwC$$iwC$$iwC.<init>(<console>:34)
    at $iwC$$iwC.<init>(<console>:36)
    at $iwC.<init>(<console>:38)
    at <init>(<console>:40)
    at .<init>(<console>:44)
    at .<clinit>(<console>)
    at .<init>(<console>:7)
    at .<clinit>(<console>)
    at $print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:497)
    at
org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
    at
org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
    at
org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
    at
org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
    at
org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
    at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
    at
org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
    at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
    at
org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
    at
org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
    at
org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
    at
org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
    at
scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
    at
org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
    at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
    at org.apache.spark.repl.Main$.main(Main.scala:31)
    at org.apache.spark.repl.Main.main(Main.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:497)
    at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:674)
    at
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

有时我在打开 shell 时遇到错误。但是如果我再次打开它，这个错误就消失了。实际上，当我打开 shell 时，这个日志并不存在，所以我没有提到这一点。这些日志正在跟踪

rg.apache.spark.SparkException: Yarn application has already ended! It might
have been killed or unable to launch application master.
    at
org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:123)
    at
org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:63)
    at
org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:523)
    at
org.apache.spark.repl.SparkILoop.createSparkContext(SparkILoop.scala:1017)
    at $line3.$read$$iwC$$iwC.<init>(<console>:9)
    at $line3.$read$$iwC.<init>(<console>:18)
    at $line3.$read.<init>(<console>:20)
    at $line3.$read$.<init>(<console>:24)
    at $line3.$read$.<clinit>(<console>)
    at $line3.$eval$.<init>(<console>:7)
    at $line3.$eval$.<clinit>(<console>)
    at $line3.$eval.$print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:497)
    at
org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
    at
org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
    at
org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
    at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
    at
org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
'

Answer 1

我发现这个错误是由于纱线配置而发生的。当我在没有“--master yarn-client”的情况下执行 spark-shell 时，spark-shell 运行良好。我认为应该重写 .xml 文件。