apache-spark - spark-shell - 无法初始化终端(Windows 10，官方 cmd.exe)

Question

我正在尝试在 Microsoft 官方终端上使用 hadoop 在 Windows 10 上运行 Spark cmd.exe .

我对 Hadoop 没有问题。安装和说明没问题。

我使用的是 Java 8 x64 (jdk1.8.0_92)

当我使用命令 spark-shell 启动 Spark 时，我收到以下 Java 错误:

[ERROR] Terminal initialization failed; falling back to unsupported
java.lang.NoClassDefFoundError: Could not initialize class scala.tools.fusesource_embedded.jansi.internal.Kernel32
at scala.tools.fusesource_embedded.jansi.internal.WindowsSupport.getConsoleMode(WindowsSupport.java:50)
at scala.tools.jline_embedded.WindowsTerminal.getConsoleMode(WindowsTerminal.java:204)
at scala.tools.jline_embedded.WindowsTerminal.init(WindowsTerminal.java:82)
at scala.tools.jline_embedded.TerminalFactory.create(TerminalFactory.java:101)
at scala.tools.jline_embedded.TerminalFactory.get(TerminalFactory.java:158)
at scala.tools.jline_embedded.console.ConsoleReader.(ConsoleReader.java:229)
at scala.tools.jline_embedded.console.ConsoleReader.(ConsoleReader.java:221)
at scala.tools.jline_embedded.console.ConsoleReader.(ConsoleReader.java:209)
at scala.tools.nsc.interpreter.jline_embedded.JLineConsoleReader.(JLineReader.scala:61)
at scala.tools.nsc.interpreter.jline_embedded.InteractiveReader.(JLineReader.scala:33)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at scala.tools.nsc.interpreter.ILoop$$anonfun$scala$tools$nsc$interpreter$ILoop$$instantiate$1$1.apply(ILoop.scala:865)
at scala.tools.nsc.interpreter.ILoop$$anonfun$scala$tools$nsc$interpreter$ILoop$$instantiate$1$1.apply(ILoop.scala:862)
at scala.tools.nsc.interpreter.ILoop.scala$tools$nsc$interpreter$ILoop$$mkReader$1(ILoop.scala:871)
at scala.tools.nsc.interpreter.ILoop$$anonfun$15$$anonfun$apply$8.apply(ILoop.scala:875)
at scala.tools.nsc.interpreter.ILoop$$anonfun$15$$anonfun$apply$8.apply(ILoop.scala:875)
at scala.util.Try$.apply(Try.scala:192)
at scala.tools.nsc.interpreter.ILoop$$anonfun$15.apply(ILoop.scala:875)
at scala.tools.nsc.interpreter.ILoop$$anonfun$15.apply(ILoop.scala:875)
at scala.collection.immutable.Stream$$anonfun$map$1.apply(Stream.scala:418)
at scala.collection.immutable.Stream$$anonfun$map$1.apply(Stream.scala:418)
at scala.collection.immutable.Stream$Cons.tail(Stream.scala:1233)
at scala.collection.immutable.Stream$Cons.tail(Stream.scala:1223)
at scala.collection.immutable.Stream.collect(Stream.scala:435)
at scala.tools.nsc.interpreter.ILoop.chooseReader(ILoop.scala:877)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1$$anonfun$apply$mcZ$sp$2.apply(ILoop.scala:916)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:916)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:911)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:911)
at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:911)
at org.apache.spark.repl.Main$.main(Main.scala:49)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)


Answer 1

在 Netbeans 中打开 Scala 控制台时，我得到完全相同的堆栈跟踪。如果我在堆栈跟踪下方键入任何 scala 表达式，它仍然可以正常工作。