Need Help Error executing VectorUDf .

[ironpython2001]

I am getting the error when executing the following code

`

using Microsoft.Spark.Sql;
using Microsoft.Spark.Sql.Types;
using System;
using static Microsoft.Spark.Sql.Functions;
using static Microsoft.Spark.Sql.DataFrameFunctions;
using Microsoft.Data.Analysis;

var spark = SparkSession.Builder()
.AppName("sample")
.GetOrCreate();
var cubed_udf = VectorUdf<Int64DataFrameColumn, Int64DataFrameColumn>((a) => { return a * a * a; });
var df = spark.Range(1, 4);
df.Select(cubed_udf(df["id"])).Show();

spark.Stop();

`

Used the following command to submit spark job
spark-submit --class org.apache.spark.deploy.dotnet.DotnetRunner --master local microsoft-spark-3-0_2.12-1.1.1.jar debug

Getting the following Error:
System.Exception
HResult=0x80131500
Message=JVM method execution failed: Nonstatic method 'showString' failed for class '35' when called with 3 arguments ([Index=1, Type=Int32, Value=20], [Index=2, Type=Int32, Value=20], [Index=3, Type=Boolean, Value=False], )
Source=Microsoft.Spark
StackTrace:
at Microsoft.Spark.Interop.Ipc.JvmBridge.CallJavaMethod(Boolean isStatic, Object classNameOrJvmObjectReference, String methodName, Object[] args)
at Microsoft.Spark.Interop.Ipc.JvmBridge.CallNonStaticJavaMethod(JvmObjectReference objectId, String methodName, Object[] args)
at Microsoft.Spark.Interop.Ipc.JvmObjectReference.Invoke(String methodName, Object[] args)
at Microsoft.Spark.Sql.DataFrame.Show(Int32 numRows, Int32 truncate, Boolean vertical)
at Chapter5.Program.example_vectorudfs() in E:\mygithub\sparkdotnetdemos\LearningSparkBookExamples\Chapter5\Program.cs:line 71
at Chapter5.Program.Main(String[] args) in E:\mygithub\sparkdotnetdemos\LearningSparkBookExamples\Chapter5\Program.cs:line 15

Inner Exception 1:
JvmException: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, OSIT-L-0589.mshome.net, executor driver): java.lang.UnsupportedOperationException: sun.misc.Unsafe or java.nio.DirectByteBuffer.(long, int) not available
at io.netty.util.internal.PlatformDependent.directBuffer(PlatformDependent.java:490)
at io.netty.buffer.NettyArrowBuf.getDirectBuffer(NettyArrowBuf.java:243)
at io.netty.buffer.NettyArrowBuf.nioBuffer(NettyArrowBuf.java:233)
at io.netty.buffer.ArrowBuf.nioBuffer(ArrowBuf.java:245)
at org.apache.arrow.vector.ipc.message.ArrowRecordBatch.computeBodyLength(ArrowRecordBatch.java:222)
at org.apache.arrow.vector.ipc.message.MessageSerializer.serialize(MessageSerializer.java:240)
at org.apache.arrow.vector.ipc.ArrowWriter.writeRecordBatch(ArrowWriter.java:132)
at org.apache.arrow.vector.ipc.ArrowWriter.writeBatch(ArrowWriter.java:120)
at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.$anonfun$writeIteratorToStream$1(ArrowPythonRunner.scala:94)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.writeIteratorToStream(ArrowPythonRunner.scala:101)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.$anonfun$run$1(PythonRunner.scala:383)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1932)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:218)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2059)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2008)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2007)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2007)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:973)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:973)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:973)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2239)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2188)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2177)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:775)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2120)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2139)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:467)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:420)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:47)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3627)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2697)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3618)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2697)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2904)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:300)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:337)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:567)
at org.apache.spark.api.dotnet.DotnetBackendHandler.handleMethodCall(DotnetBackendHandler.scala:165)
at org.apache.spark.api.dotnet.DotnetBackendHandler.$anonfun$handleBackendRequest$2(DotnetBackendHandler.scala:105)
at org.apache.spark.api.dotnet.ThreadPool$$anon$1.run(ThreadPool.scala:34)
at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:830)
Caused by: java.lang.UnsupportedOperationException: sun.misc.Unsafe or java.nio.DirectByteBuffer.(long, int) not available
at io.netty.util.internal.PlatformDependent.directBuffer(PlatformDependent.java:490)
at io.netty.buffer.NettyArrowBuf.getDirectBuffer(NettyArrowBuf.java:243)
at io.netty.buffer.NettyArrowBuf.nioBuffer(NettyArrowBuf.java:233)
at io.netty.buffer.ArrowBuf.nioBuffer(ArrowBuf.java:245)
at org.apache.arrow.vector.ipc.message.ArrowRecordBatch.computeBodyLength(ArrowRecordBatch.java:222)
at org.apache.arrow.vector.ipc.message.MessageSerializer.serialize(MessageSerializer.java:240)
at org.apache.arrow.vector.ipc.ArrowWriter.writeRecordBatch(ArrowWriter.java:132)
at org.apache.arrow.vector.ipc.ArrowWriter.writeBatch(ArrowWriter.java:120)
at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.$anonfun$writeIteratorToStream$1(ArrowPythonRunner.scala:94)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.writeIteratorToStream(ArrowPythonRunner.scala:101)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.$anonfun$run$1(PythonRunner.scala:383)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1932)
at org.apache.spark.api.python.BasePythonRunner$WriterThread.run(PythonRunner.scala:218)