@Scharan  Please find the output    [murali.kumpatla@hadoop03 ~]$ hadoop checknative -a | grep hadoop 19/11/06 16:47:13 INFO bzip2.Bzip2Factory: Successfully loaded & initialized native-bzip2 library system-native 19/11/06 16:47:13 INFO zlib.ZlibFactory: Successfully loaded & initialized native-zlib library 19/11/06 16:47:13 WARN zstd.ZStandardCompressor: Error loading zstandard native libraries: java.lang.InternalError: Cannot load libzstd.so.1 (libzstd.so.1: cannot open shared object file: No such file or directory)! 19/11/06 16:47:13 WARN erasurecode.ErasureCodeNative: Loading ISA-L failed: Failed to load libisal.so.2 (libisal.so.2: cannot open shared object file: No such file or directory) 19/11/06 16:47:13 WARN erasurecode.ErasureCodeNative: ISA-L support is not available in your platform... using builtin-java codec where applicable hadoop: true /usr/hdp/3.1.4.0-315/hadoop/lib/native/libhadoop.so.1.0.0 snappy: true /usr/hdp/3.1.4.0-315/hadoop/lib/native/libsnappy.so.1 19/11/06 16:47:13 INFO util.ExitUtil: Exiting with status 1: ExitException [murali.kumpatla@hadoop03 ~]$ ... View more

@rguruvannagari  Thanks for the quick  reply and i able to start the process based on your inputs. While running the spark application i am getting the below issue, Help to fix the issue.   19/10/24 16:36:09 INFO ContextHandler: Started o.s.j.s.ServletContextHandler@4a0df195{/history,null,AVAILABLE,@Spark} 19/10/24 16:36:09 INFO HistoryServer: Bound HistoryServer to 0.0.0.0, and started at http://hadoop02.prod.phenom.local:18081 [murali.kumpatla@hadoop02 spark2]$ spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). 19/10/24 16:37:20 ERROR SparkContext: Error initializing SparkContext. org.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:89) at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:63) at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:164) at org.apache.spark.SparkContext.<init>(SparkContext.scala:500) at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2498) at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:934) at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:925) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:925) at org.apache.spark.repl.Main$.createSparkSession(Main.scala:103) at $line3.$read$$iw$$iw.<init>(<console>:15) at $line3.$read$$iw.<init>(<console>:43) at $line3.$read.<init>(<console>:45) at $line3.$read$.<init>(<console>:49) at $line3.$read$.<clinit>(<console>) at $line3.$eval$.$print$lzycompute(<console>:7) at $line3.$eval$.$print(<console>:6) at $line3.$eval.$print(<console>) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:793) at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1054) at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:645) at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:644) at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31) at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19) at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:644) at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:576) at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:572) at scala.tools.nsc.interpreter.IMain$$anonfun$quietRun$1.apply(IMain.scala:231) at scala.tools.nsc.interpreter.IMain$$anonfun$quietRun$1.apply(IMain.scala:231) at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:221) at scala.tools.nsc.interpreter.IMain.quietRun(IMain.scala:231) at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1.apply(SparkILoop.scala:88) at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1.apply(SparkILoop.scala:88) at scala.collection.immutable.List.foreach(List.scala:392) at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:88) at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:88) at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:88) at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:91) at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:87) at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply$mcV$sp(SparkILoop.scala:170) at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply(SparkILoop.scala:158) at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply(SparkILoop.scala:158) 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:158) at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$startup$1$1.apply(SparkILoop.scala:226) at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$startup$1$1.apply(SparkILoop.scala:206) at org.apache.spark.repl.SparkILoop$$anonfun$process$1.withSuppressedSettings$1(SparkILoop.scala:194) at org.apache.spark.repl.SparkILoop$$anonfun$process$1.startup$1(SparkILoop.scala:206) at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:241) at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:141) at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:141) at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97) at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:141) at org.apache.spark.repl.Main$.doMain(Main.scala:76) at org.apache.spark.repl.Main$.main(Main.scala:56) at org.apache.spark.repl.Main.main(Main.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:904) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 19/10/24 16:37:20 WARN YarnSchedulerBackend$YarnSchedulerEndpoint: Attempted to request executors before the AM has registered! 19/10/24 16:37:20 WARN MetricsSystem: Stopping a MetricsSystem that is not running org.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:89) at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:63) at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:164) at org.apache.spark.SparkContext.<init>(SparkContext.scala:500) at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2498) at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:934) at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:925) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:925) at org.apache.spark.repl.Main$.createSparkSession(Main.scala:103) ... 62 elided <console>:14: error: not found: value spark import spark.implicits._ ^ <console>:14: error: not found: value spark import spark.sql ^ Welcome to ____ ... 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