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https://issues.apache.org/jira/browse/SPARK-25783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16658334#comment-16658334
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koert kuipers commented on SPARK-25783:
---------------------------------------
[~viirya] are you saying that jline classes are loaded from scala-compiler and
the error does not occur?
> Spark shell fails because of jline incompatibility
> --------------------------------------------------
>
> Key: SPARK-25783
> URL: https://issues.apache.org/jira/browse/SPARK-25783
> Project: Spark
> Issue Type: Bug
> Components: Spark Shell
> Affects Versions: 2.4.0
> Environment: spark 2.4.0-rc3 on hadoop 2.6.0 (cdh 5.15.1) with
> -Phadoop-provided
> Reporter: koert kuipers
> Priority: Minor
>
> error i get when launching spark-shell is:
> {code:bash}
> Spark context Web UI available at http://client:4040
> Spark context available as 'sc' (master = yarn, app id = application_xxx).
> Spark session available as 'spark'.
> Exception in thread "main" java.lang.NoSuchMethodError:
> jline.console.completer.CandidateListCompletionHandler.setPrintSpaceAfterFullCompletion(Z)V
> at
> scala.tools.nsc.interpreter.jline.JLineConsoleReader.initCompletion(JLineReader.scala:139)
> at
> scala.tools.nsc.interpreter.jline.InteractiveReader.postInit(JLineReader.scala:54)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$1.apply(SparkILoop.scala:190)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$1.apply(SparkILoop.scala:188)
> at
> scala.tools.nsc.interpreter.SplashReader.postInit(InteractiveReader.scala:130)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply$mcV$sp(SparkILoop.scala:214)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply(SparkILoop.scala:199)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply(SparkILoop.scala:199)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$mumly$1.apply(ILoop.scala:189)
> at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:221)
> at scala.tools.nsc.interpreter.ILoop.mumly(ILoop.scala:186)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1(SparkILoop.scala:199)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$startup$1$1.apply(SparkILoop.scala:267)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$startup$1$1.apply(SparkILoop.scala:247)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.withSuppressedSettings$1(SparkILoop.scala:235)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.startup$1(SparkILoop.scala:247)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:282)
> at org.apache.spark.repl.SparkILoop.runClosure(SparkILoop.scala:159)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:182)
> at org.apache.spark.repl.Main$.doMain(Main.scala:78)
> at org.apache.spark.repl.Main$.main(Main.scala:58)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at
> org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849)
> at
> org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
> at
> org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:935)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
> spark 2.4.0-rc3 which i build with:
> {code:bash}
> dev/make-distribution.sh --name provided --tgz -Phadoop-2.6
> -Dhadoop.version=2.6.0 -Pyarn -Phadoop-provided
> {code}
> and deployed with in spark-env.sh:
> {code:bash}
> export SPARK_DIST_CLASSPATH=$(hadoop classpath)
> {code}
> hadoop version is 2.6.0 (CDH 5.15.1)
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