I'm trying to do  a simple .saveAsTable using hiveEnableSupport in the local spark. I don't have hive installed in my local machine. Using spark 3.2.0 and python 3.9 flightTimeParquetDF= spark.read.format("parquet").load("dataSource/flight-time.parquet") spark.sql("CREATE DATABASE IF NOT EXISTS AIRLINE_DB ") spark.catalog.setCurrentDatabase("AIRLINE_DB") flightTimeParquetDF.write.mode("overwrite").saveAsTable("flight_data_tbl") FULL ERROR:  raise Py4JJavaError( py4j.protocol.Py4JJavaError: An error occurred while calling o76.saveAsTable. : org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.errors.QueryExecutionErrors$.jobAbortedError(QueryExecutionErrors.scala:496) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:251) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:186) at org.apache.spark.sql.execution.datasources.DataSource.writeAndRead(DataSource.scala:537) at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.saveDataIntoTable(createDataSourceTables.scala:228) at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:182) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113) at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111) at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:110) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:110) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:106) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:457) at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:106) at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:93) at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:91) at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:128) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:848) at org.apache.spark.sql.DataFrameWriter.createTable(DataFrameWriter.scala:689) at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:667) at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:565) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182) at py4j.ClientServerConnection.run(ClientServerConnection.java:106) at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z at org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Native Method) at org.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java:793) at org.apache.hadoop.fs.FileUtil.canRead(FileUtil.java:1215) at org.apache.hadoop.fs.FileUtil.list(FileUtil.java:1420) at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:601) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1972) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:2014) at org.apache.hadoop.fs.ChecksumFileSystem.listStatus(ChecksumFileSystem.java:761) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1972) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:2014) at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.getAllCommittedTaskPaths(FileOutputCommitter.java:334) at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJobInternal(FileOutputCommitter.java:404) at org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:377) at org.apache.parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:48) at org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitJob(HadoopMapReduceCommitProtocol.scala:182) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$write$20(FileFormatWriter.scala:240) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at org.apache.spark.util.Utils$.timeTakenMs(Utils.scala:605) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:240) ... 44 more ... 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