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Michel Lemay commented on SPARK-13710: -------------------------------------- I'd gladly do that but the current state of the master branch is somewhat unstable.. Tens of tests fail OOTB from my vanilla fork before any modifications! Is that expected? > Spark shell shows ERROR when launching on Windows > ------------------------------------------------- > > Key: SPARK-13710 > URL: https://issues.apache.org/jira/browse/SPARK-13710 > Project: Spark > Issue Type: Bug > Components: Spark Shell, Windows > Reporter: Masayoshi TSUZUKI > Priority: Minor > > On Windows, when we launch {{bin\spark-shell.cmd}}, it shows ERROR message > and stacktrace. > {noformat} > C:\Users\tsudukim\Documents\workspace\spark-dev3>bin\spark-shell > [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.<init>(ConsoleReader.java:229) > at > scala.tools.jline_embedded.console.ConsoleReader.<init>(ConsoleReader.java:221) > at > scala.tools.jline_embedded.console.ConsoleReader.<init>(ConsoleReader.java:209) > at > scala.tools.nsc.interpreter.jline_embedded.JLineConsoleReader.<init>(JLineReader.scala:61) > at > scala.tools.nsc.interpreter.jline_embedded.InteractiveReader.<init>(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:422) > 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$.doMain(Main.scala:64) > at org.apache.spark.repl.Main$.main(Main.scala:47) > 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:737) > at > org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:183) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:208) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:122) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > Using Spark's default log4j profile: > org/apache/spark/log4j-defaults.properties > Setting default log level to "WARN". > To adjust logging level use sc.setLogLevel(newLevel). > 16/03/07 13:05:32 WARN NativeCodeLoader: Unable to load native-hadoop library > for your platform... using builtin-java classes where applicable > Spark context available as sc (master = local[*], app id = > local-1457323533704). > SQL context available as sqlContext. > Welcome to > ____ __ > / __/__ ___ _____/ /__ > _\ \/ _ \/ _ `/ __/ '_/ > /___/ .__/\_,_/_/ /_/\_\ version 2.0.0-SNAPSHOT > /_/ > Using Scala version 2.11.7 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_40) > Type in expressions to have them evaluated. > Type :help for more information. > scala> sc.textFile("README.md") > res0: org.apache.spark.rdd.RDD[String] = README.md MapPartitionsRDD[1] at > textFile at <console>:25 > scala> sc.textFile("README.md").count() > res1: Long = 97 > {noformat} > Spark-shell itself seems to work file during my simple operation check. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org