sqoop data from teradata to hdfs using shell script - sqoop

Getting below exception.
What are the possible errors?
Is it really database does not exist? or related to Permission related issue?
com.teradata.connector.common.exception.ConnectorException: java.sql.SQLException: [Teradata Database] [TeraJDBC 15.00.00.20] [Error 3802] [SQLState 42S02] Database 'P_STORAGE' does not exist.
at com.teradata.jdbc.jdbc_4.util.ErrorFactory.makeDatabaseSQLException(ErrorFactory.java:308)
at com.teradata.jdbc.jdbc_4.statemachine.ReceiveInitSubState.action(ReceiveInitSubState.java:109)
at com.teradata.jdbc.jdbc_4.statemachine.StatementReceiveState.subStateMachine(StatementReceiveState.java:307)
at com.teradata.jdbc.jdbc_4.statemachine.StatementReceiveState.action(StatementReceiveState.java:196)
at com.teradata.jdbc.jdbc_4.statemachine.StatementController.runBody(StatementController.java:123)
at com.teradata.jdbc.jdbc_4.statemachine.StatementController.run(StatementController.java:114)
at com.teradata.jdbc.jdbc_4.TDStatement.executeStatement(TDStatement.java:385)
at com.teradata.jdbc.jdbc_4.TDStatement.prepareRequest(TDStatement.java:569)
at com.teradata.jdbc.jdbc_4.TDPreparedStatement.<init>(TDPreparedStatement.java:117)
at com.teradata.jdbc.jdk6.JDK6_SQL_PreparedStatement.<init>(JDK6_SQL_PreparedStatement.java:29)
at com.teradata.jdbc.jdk6.JDK6_SQL_Connection.constructPreparedStatement(JDK6_SQL_Connection.java:81)
at com.teradata.jdbc.jdbc_4.TDSession.prepareStatement(TDSession.java:1357)
at com.teradata.jdbc.jdbc_4.TDSession.prepareStatement(TDSession.java:1401)
at com.teradata.jdbc.jdbc_4.TDSession.prepareStatement(TDSession.java:1387)
at com.teradata.connector.teradata.db.TeradataConnection.getColumnDescsForSQL(TeradataConnection.java:995)
at com.teradata.connector.teradata.db.TeradataConnection.getColumnNamesForSQL(TeradataConnection.java:940)
at com.teradata.connector.teradata.utils.TeradataUtils.validateInputTeradataProperties(TeradataUtils.java:315)
at com.teradata.connector.teradata.processor.TeradataInputProcessor.validateConfiguration(TeradataInputProcessor.java:91)
at com.teradata.connector.teradata.processor.TeradataSplitByPartitionProcessor.validateConfiguration(TeradataSplitByPartitionProcessor.java:412)
at com.teradata.connector.teradata.processor.TeradataInputProcessor.inputPreProcessor(TeradataInputProcessor.java:36)
at com.teradata.connector.common.tool.ConnectorJobRunner.runJob(ConnectorJobRunner.java:116)
at com.teradata.connector.common.tool.ConnectorJobRunner.runJob(ConnectorJobRunner.java:56)
at org.apache.sqoop.teradata.TeradataSqoopImportHelper.runJob(TeradataSqoopImportHelper.java:370)
at org.apache.sqoop.teradata.TeradataConnManager.importQuery(TeradataConnManager.java:531)
at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:499)
at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:605)
at org.apache.sqoop.Sqoop.run(Sqoop.java:148)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:184)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:226)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:235)
at org.apache.sqoop.Sqoop.main(Sqoop.java:244)
at com.teradata.connector.common.tool.ConnectorJobRunner.runJob(ConnectorJobRunner.java:140)
at com.teradata.connector.common.tool.ConnectorJobRunner.runJob(ConnectorJobRunner.java:56)
at org.apache.sqoop.teradata.TeradataSqoopImportHelper.runJob(TeradataSqoopImportHelper.java:370)
at org.apache.sqoop.teradata.TeradataConnManager.importQuery(TeradataConnManager.java:531)
at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:499)
at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:605)
at org.apache.sqoop.Sqoop.run(Sqoop.java:148)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:184)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:226)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:235)
at org.apache.sqoop.Sqoop.main(Sqoop.java:244)
16/09/23 05:47:10 INFO teradata.TeradataSqoopImportHelper: Teradata import job completed with exit code 1
16/09/23 05:47:10 ERROR tool.ImportTool: Encountered IOException running import job: java.io.IOException: Exception running Teradata import job
at org.apache.sqoop.teradata.TeradataSqoopImportHelper.runJob(TeradataSqoopImportHelper.java:373)
at org.apache.sqoop.teradata.TeradataConnManager.importQuery(TeradataConnManager.java:531)
at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:499)
at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:605)
at org.apache.sqoop.Sqoop.run(Sqoop.java:148)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:184)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:226)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:235)
at org.apache.sqoop.Sqoop.main(Sqoop.java:244)
Caused by: com.teradata.connector.common.exception.ConnectorException: java.sql.SQLException: [Teradata Database] [TeraJDBC 15.00.00.20] [Error 3802] [SQLState 42S02] Database 'P_STORAGE' does not exist.
at com.teradata.jdbc.jdbc_4.util.ErrorFactory.makeDatabaseSQLException(ErrorFactory.java:308)
at com.teradata.jdbc.jdbc_4.statemachine.ReceiveInitSubState.action(ReceiveInitSubState.java:109)
at com.teradata.jdbc.jdbc_4.statemachine.StatementReceiveState.subStateMachine(StatementReceiveState.java:307)
at com.teradata.jdbc.jdbc_4.statemachine.StatementReceiveState.action(StatementReceiveState.java:196)
at com.teradata.jdbc.jdbc_4.statemachine.StatementController.runBody(StatementController.java:123)
at com.teradata.jdbc.jdbc_4.statemachine.StatementController.run(StatementController.java:114)
at com.teradata.jdbc.jdbc_4.TDStatement.executeStatement(TDStatement.java:385)
at com.teradata.jdbc.jdbc_4.TDStatement.prepareRequest(TDStatement.java:569)
at com.teradata.jdbc.jdbc_4.TDPreparedStatement.<init>(TDPreparedStatement.java:117)
at com.teradata.jdbc.jdk6.JDK6_SQL_PreparedStatement.<init>(JDK6_SQL_PreparedStatement.java:29)
at com.teradata.jdbc.jdk6.JDK6_SQL_Connection.constructPreparedStatement(JDK6_SQL_Connection.java:81)
at com.teradata.jdbc.jdbc_4.TDSession.prepareStatement(TDSession.java:1357)
at com.teradata.jdbc.jdbc_4.TDSession.prepareStatement(TDSession.java:1401)
at com.teradata.jdbc.jdbc_4.TDSession.prepareStatement(TDSession.java:1387)
at com.teradata.connector.teradata.db.TeradataConnection.getColumnDescsForSQL(TeradataConnection.java:995)
at com.teradata.connector.teradata.db.TeradataConnection.getColumnNamesForSQL(TeradataConnection.java:940)
at com.teradata.connector.teradata.utils.TeradataUtils.validateInputTeradataProperties(TeradataUtils.java:315)
at com.teradata.connector.teradata.processor.TeradataInputProcessor.validateConfiguration(TeradataInputProcessor.java:91)
at com.teradata.connector.teradata.processor.TeradataSplitByPartitionProcessor.validateConfiguration(TeradataSplitByPartitionProcessor.java:412)
at com.teradata.connector.teradata.processor.TeradataInputProcessor.inputPreProcessor(TeradataInputProcessor.java:36)
at com.teradata.connector.common.tool.ConnectorJobRunner.runJob(ConnectorJobRunner.java:116)
at com.teradata.connector.common.tool.ConnectorJobRunner.runJob(ConnectorJobRunner.java:56)
at org.apache.sqoop.teradata.TeradataSqoopImportHelper.runJob(TeradataSqoopImportHelper.java:370)
at org.apache.sqoop.teradata.TeradataConnManager.importQuery(TeradataConnManager.java:531)
at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:499)
at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:605)
at org.apache.sqoop.Sqoop.run(Sqoop.java:148)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:184)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:226)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:235)
at org.apache.sqoop.Sqoop.main(Sqoop.java:244)
at com.teradata.connector.common.tool.ConnectorJobRunner.runJob(ConnectorJobRunner.java:140)
at com.teradata.connector.common.tool.ConnectorJobRunner.runJob(ConnectorJobRunner.java:56)
at org.apache.sqoop.teradata.TeradataSqoopImportHelper.runJob(TeradataSqoopImportHelper.java:370)
... 9 more


It could be either issue.
Please try sqoop eval with the same credentials:
sqoop eval --connect "<teradata connect class param>" \
--username <username> -P
--query "SELECT * FROM DBC.Databases"

Related

Spark On windows gives error in saveAsTextFile

I have installed Spark on my laptop and I am trying to execute some very basic commands. Most of them work except .saveAsTextFile. In pyshell I wrote
nums=sc.parallellize([1,2,3])
nums.saveAsTextFile("file:///C:/Java/ouput")
The last statement of saveAsTextFile gives me the following error
[Stage 0:> (0 + 8)
/ 8]2018-03-24 11:48:14 ERROR Executor:91 - Exception in task 6.0 in stage
0.0 (TID 6)
ExitCodeException exitCode=-1073741701:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:582)
at org.apache.hadoop.util.Shell.run(Shell.java:479)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:773)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:866)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:849)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:733)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:225)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:209)
at org.apache.hadoop.fs.RawLocalFileSystem.createOutputStreamWithMode(RawLocalFileSystem.java:307)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:296)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:328)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSOutputSummer.<init>(ChecksumFileSystem.java:398)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:461)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:804)
at org.apache.hadoop.mapred.TextOutputFormat.getRecordWriter(TextOutputFormat.java:123)
at org.apache.spark.internal.io.HadoopMapRedWriteConfigUtil.initWriter(SparkHadoopWriter.scala:224)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:118)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
2018-03-24 11:48:14 WARN TaskSetManager:66 - Lost task 6.0 in stage 0.0 (TID 6, localhost, executor driver): ExitCodeException exitCode=-1073741701:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:582)
at org.apache.hadoop.util.Shell.run(Shell.java:479)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:773)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:866)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:849)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:733)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:225)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:209)
at org.apache.hadoop.fs.RawLocalFileSystem.createOutputStreamWithMode(RawLocalFileSystem.java:307)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:296)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:328)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSOutputSummer.<init>(ChecksumFileSystem.java:398)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:461)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:804)
at org.apache.hadoop.mapred.TextOutputFormat.getRecordWriter(TextOutputFormat.java:123)
at org.apache.spark.internal.io.HadoopMapRedWriteConfigUtil.initWriter(SparkHadoopWriter.scala:224)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:118)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
2018-03-24 11:48:14 ERROR TaskSetManager:70 - Task 6 in stage 0.0 failed 1 times; aborting job
2018-03-24 11:48:14 ERROR SparkHadoopWriter:91 - Aborting job job_20180324114813_0003.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 0.0 failed 1 times, most recent failure: Lost task 6.0 in stage 0.0 (TID 6, localhost, executor driver): ExitCodeException exitCode=-1073741701:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:582)
at org.apache.hadoop.util.Shell.run(Shell.java:479)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:773)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:866)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:849)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:733)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:225)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:209)
at org.apache.hadoop.fs.RawLocalFileSystem.createOutputStreamWithMode(RawLocalFileSystem.java:307)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:296)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:328)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSOutputSummer.<init>(ChecksumFileSystem.java:398)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:461)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:804)
at org.apache.hadoop.mapred.TextOutputFormat.getRecordWriter(TextOutputFormat.java:123)
at org.apache.spark.internal.io.HadoopMapRedWriteConfigUtil.initWriter(SparkHadoopWriter.scala:224)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:118)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1599)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1587)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1586)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1586)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1820)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1769)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1758)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2027)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2080)
at org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:78)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1096)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1094)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1094)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1094)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply$mcV$sp(PairRDDFunctions.scala:1067)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1032)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1032)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:1032)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply$mcV$sp(PairRDDFunctions.scala:958)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:958)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:958)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:957)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply$mcV$sp(RDD.scala:1493)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1472)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1472)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:1472)
at org.apache.spark.api.java.JavaRDDLike$class.saveAsTextFile(JavaRDDLike.scala:550)
at org.apache.spark.api.java.AbstractJavaRDDLike.saveAsTextFile(JavaRDDLike.scala:45)
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.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
Caused by: ExitCodeException exitCode=-1073741701:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:582)
at org.apache.hadoop.util.Shell.run(Shell.java:479)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:773)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:866)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:849)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:733)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:225)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:209)
at org.apache.hadoop.fs.RawLocalFileSystem.createOutputStreamWithMode(RawLocalFileSystem.java:307)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:296)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:328)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSOutputSummer.<init>(ChecksumFileSystem.java:398)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:461)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:804)
at org.apache.hadoop.mapred.TextOutputFormat.getRecordWriter(TextOutputFormat.java:123)
at org.apache.spark.internal.io.HadoopMapRedWriteConfigUtil.initWriter(SparkHadoopWriter.scala:224)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:118)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\spark-2.3.0-bin-hadoop2.7\python\pyspark\rdd.py", line 1568, in saveAsTextFile
keyed._jrdd.map(self.ctx._jvm.BytesToString()).saveAsTextFile(path)
File "C:\spark-2.3.0-bin-hadoop2.7\python\lib\py4j-0.10.6-src.zip\py4j\java_gateway.py", line 1160, in __call__
File "C:\spark-2.3.0-bin-hadoop2.7\python\pyspark\sql\utils.py", line 63, in deco
return f(*a, **kw)
File "C:\spark-2.3.0-bin-hadoop2.7\python\lib\py4j-0.10.6-src.zip\py4j\protocol.py", line 320, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o39.saveAsTextFile.
: org.apache.spark.SparkException: Job aborted.
at org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:96)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1096)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1094)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1094)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1094)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply$mcV$sp(PairRDDFunctions.scala:1067)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1032)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1032)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:1032)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply$mcV$sp(PairRDDFunctions.scala:958)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:958)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:958)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:957)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply$mcV$sp(RDD.scala:1493)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1472)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1472)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.RDD.saveAsTextFile(RDD.scala:1472)
at org.apache.spark.api.java.JavaRDDLike$class.saveAsTextFile(JavaRDDLike.scala:550)
at org.apache.spark.api.java.AbstractJavaRDDLike.saveAsTextFile(JavaRDDLike.scala:45)
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.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 0.0 failed 1 times, most recent failure: Lost task 6.0 in stage 0.0 (TID 6, localhost, executor driver): ExitCodeException exitCode=-1073741701:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:582)
at org.apache.hadoop.util.Shell.run(Shell.java:479)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:773)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:866)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:849)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:733)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:225)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:209)
at org.apache.hadoop.fs.RawLocalFileSystem.createOutputStreamWithMode(RawLocalFileSystem.java:307)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:296)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:328)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSOutputSummer.<init>(ChecksumFileSystem.java:398)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:461)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:804)
at org.apache.hadoop.mapred.TextOutputFormat.getRecordWriter(TextOutputFormat.java:123)
at org.apache.spark.internal.io.HadoopMapRedWriteConfigUtil.initWriter(SparkHadoopWriter.scala:224)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:118)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1599)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1587)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1586)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1586)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1820)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1769)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1758)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2027)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2080)
at org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:78)
... 41 more
The error message was too long and mostly repetitive so I posted most of the it but couldn't include the last part due to size constraint.
This seems very basic and still somehow doesn't work. I am not sure what I might be doing wrong. Most of the suggestions that I have found until now have not worked for me. Any help will be greatly appreciated.

Have you set winutils.exe correctly?
Set the HADOOP_HOME environment variable correctly and make sure that winutils.exe can execute. If it can't, you may need to download MSVC Runtime Library.

Actually you should write to HDFS (Hadoop File System) as default.
I have simulated a session on a single cluster node. Here is the full list of commands creating the list, writing it to HDFS and finally printing out the results on the console using hdfs:
spark-shell
After the shell has started you type:
val nums = sc.parallelize(List(1,2,3,4,5))
nums.saveAsTextFile("/tmp/simple_list")
:quit
Now we read the data from HDFS (Hadoop File System):
hdfs dfs -ls /tmp/simple_list
This prints something like:
Found 3 items
-rw-r--r-- 1 gil_fernandes hadoop 0 2018-03-24 16:39 /tmp/simple_list/_SUCCESS
-rw-r--r-- 1 gil_fernandes hadoop 4 2018-03-24 16:39 /tmp/simple_list/part-00000
-rw-r--r-- 1 gil_fernandes hadoop 6 2018-03-24 16:39 /tmp/simple_list/part-00001
Finally you print out the content of the files using hdfs again:
hdfs dfs -cat /tmp/simple_list/part-*
This prints out:
1
2
3
4
5
You can also use the hdfs dfs cat command to get the file from HDFS:
hdfs dfs -cat /tmp/simple_list/part-* > simple_list.txt
Update
If you want to run saveAsTextFile using the file:// protocol you should typically run spark-shell under the user which runs you Spark cluster.
These are the steps I have used to save as a text file on the local file system:
Bash:
sudo -i
su - yarn
spark-shell
Spark-shell:
val nums = sc.parallelize(List(1,2,3,4,5))
nums.saveAsTextFile("file:///tmp/simple_list_12")
:quit
Bash:
ls /tmp/simple_list_12
Output of the last command:
part-00000 part-00001 _SUCCESS

Sqoop import error message ERROR tool.ImportTool: Import failed: ENOENT: No such file or directory Options

Getting error while running the sqoop import statement
sqoop import \
--connect jdbc:mysql://localhost:3306/retail_db \
--username retail_dba \
--password cloudera \
--table orders \
--target-dir /user/cloudera/problem1/orders \
--compress \
--compression-codec org.apache.hadoop.io.compress.SnappyCodec \
--as-avrodatafile;
Error message
17/11/06 21:56:30 WARN security.UserGroupInformation: PriviledgedActionException as:cloudera (auth:SIMPLE) cause:ENOENT: No such file or directory
17/11/06 21:56:30 ERROR tool.ImportTool: Import failed: ENOENT: No such file or directory
at org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmodImpl(Native Method)
at org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmod(NativeIO.java:230)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:716)
at org.apache.hadoop.fs.ChecksumFileSystem$1.apply(ChecksumFileSystem.java:498)
at org.apache.hadoop.fs.ChecksumFileSystem$FsOperation.run(ChecksumFileSystem.java:479)
at org.apache.hadoop.fs.ChecksumFileSystem.setPermission(ChecksumFileSystem.java:495)
at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:616)
at org.apache.hadoop.mapreduce.JobResourceUploader.uploadFiles(JobResourceUploader.java:94)
at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:99)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:194)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1307)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1304)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1917)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1304)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1325)
at org.apache.sqoop.mapreduce.ImportJobBase.doSubmitJob(ImportJobBase.java:203)
at org.apache.sqoop.mapreduce.ImportJobBase.runJob(ImportJobBase.java:176)
at org.apache.sqoop.mapreduce.ImportJobBase.runImport(ImportJobBase.java:273)
at org.apache.sqoop.manager.SqlManager.importTable(SqlManager.java:692)
at org.apache.sqoop.manager.MySQLManager.importTable(MySQLManager.java:127)
at org.apache.sqoop.tool.ImportTool.importTable(ImportTool.java:513)
at org.apache.sqoop.tool.ImportTool.run(ImportTool.java:621)
at org.apache.sqoop.Sqoop.run(Sqoop.java:147)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234)
at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243)
at org.apache.sqoop.Sqoop.main(Sqoop.java:252)

Sqoop export issue: parsing input data

I am trying to use Sqoop to load files on HDFS into Oracle database:
Here is my input data:
Input data:
100|John|Miller|3.10
200|Sam|Madden|4.0
Here is the Sqoop command:
sqoop export --connect
"jdbc:oracle:thin:username/password#//host:port/service" --password
"pass" --username "user" --export-dir "/hdfs/path/"
--input-lines-terminated-by '\n' --input-null-string '\N' --input-null-non-string '\N' --input-fields-terminated-by '|' --table "SCRATCHPAD" --columns ID,FIRST_NAME,LAST_NAME,GPA
Here is the snippet of the error message that I see. Any help with this will be greatly appreciated.
INFO mapreduce.Job: Task Id :
attempt_1469238174088_466114_m_000001_1, Status : FAILED Error:
java.io.IOException: Can't export data, please check failed map task
logs at
org.apache.sqoop.mapreduce.TextExportMapper.map(TextExportMapper.java:112)
at
org.apache.sqoop.mapreduce.TextExportMapper.map(TextExportMapper.java:39)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145) at
org.apache.sqoop.mapreduce.AutoProgressMapper.run(AutoProgressMapper.java:64)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) at
org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164) at
java.security.AccessController.doPrivileged(Native Method) at
javax.security.auth.Subject.doAs(Subject.java:422) at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1707)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158) Caused
by: java.lang.RuntimeException: Can't parse input data:
'200 Sam Madden 200.20'

Sqoop Export Hive String to Oracle CLOB

I want to export STRING data from Hive to CLOB in Oracle.
Command :
sqoop export -Dsqoop.export.records.per.statement=1 --connect 'jdbc:oracle:thin:#192.168.41.67:1521:orcl' --username ILABUSER --password impetus --table ILABUSER.CDT_ORC_1 --export-dir /user/dev/db/123 --input-fields-terminated-by '\001' --input-null-string '\\N' --input-null-non-string '\\N' -m 2
Exception:
Error: java.io.IOException: Can't export data, please check failed map task logs
at org.apache.sqoop.mapreduce.TextExportMapper.map(TextExportMapper.java:112)
at org.apache.sqoop.mapreduce.TextExportMapper.map(TextExportMapper.java:39)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:146)
at org.apache.sqoop.mapreduce.AutoProgressMapper.run(AutoProgressMapper.java:64)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Caused by: java.io.IOException: Could not buffer record
at org.apache.sqoop.mapreduce.AsyncSqlRecordWriter.write(AsyncSqlRecordWriter.java:218)
at org.apache.sqoop.mapreduce.AsyncSqlRecordWriter.write(AsyncSqlRecordWriter.java:46)
at org.apache.hadoop.mapred.MapTask$NewDirectOutputCollector.write(MapTask.java:658)
at org.apache.hadoop.mapreduce.task.TaskInputOutputContextImpl.write(TaskInputOutputContextImpl.java:89)
at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.write(WrappedMapper.java:112)
at org.apache.sqoop.mapreduce.TextExportMapper.map(TextExportMapper.java:84)
... 10 more
Caused by: java.lang.CloneNotSupportedException: com.cloudera.sqoop.lib.ClobRef
at java.lang.Object.clone(Native Method)
at org.apache.sqoop.lib.LobRef.clone(LobRef.java:109)
at ILABUSER_CDT_ORC_1.clone(ILABUSER_CDT_ORC_1.java:322)
at org.apache.sqoop.mapreduce.AsyncSqlRecordWriter.write(AsyncSqlRecordWriter.java:213)
... 15 more

As a workaround I used --map-column-java tag.
I mapped Clob column (named col_clob) to String in Java.
Added below code in above command:
--map-column-java tag col_clob=String

Copying data between 2 different hadoop clusters

I am trying to copy data from one HDFS directory to another using distcp:
Source hadoop version:
hadoop version
Hadoop 2.0.0-cdh4.3.1
Destination hadoop version:
hadoop version
Hadoop 2.0.0-cdh4.4.0
Command I am using is:
hadoop distcp hftp://foo.test.net:50070/new_data/raw/new_logs/utc_date=2014-09-01/utc_hour=22 hdfs://localhost.localdomain/user/cloudera/new_logs
Error message I am getting is:
java.io.IOException: Copied: 0 Skipped: 0 Failed: 13
at org.apache.hadoop.tools.DistCp$CopyFilesMapper.close(DistCp.java:582)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:57)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:417)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:332)
at org.apache.hadoop.mapred.Child$4.run(Child.java:268)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
at org.apache.hadoop.mapred.Child.main(Child.java:262)
==
Logs from "Task Logs":
2014-09-02 13:50:30,947 INFO org.apache.hadoop.tools.DistCp: FAIL utc_hour=22/000012_0 : java.io.IOException: HTTP_OK expected, received 500
at org.apache.hadoop.hdfs.HftpFileSystem$RangeHeaderUrlOpener.connect(HftpFileSystem.java:376)
at org.apache.hadoop.hdfs.ByteRangeInputStream.openInputStream(ByteRangeInputStream.java:119)
at org.apache.hadoop.hdfs.ByteRangeInputStream.getInputStream(ByteRangeInputStream.java:103)
at org.apache.hadoop.hdfs.ByteRangeInputStream.read(ByteRangeInputStream.java:187)
at java.io.DataInputStream.read(DataInputStream.java:83)
at org.apache.hadoop.tools.DistCp$CopyFilesMapper.copy(DistCp.java:424)
at org.apache.hadoop.tools.DistCp$CopyFilesMapper.map(DistCp.java:547)
at org.apache.hadoop.tools.DistCp$CopyFilesMapper.map(DistCp.java:314)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:417)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:332)
at org.apache.hadoop.mapred.Child$4.run(Child.java:268)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
at org.apache.hadoop.mapred.Child.main(Child.java:262)
2014-09-02 13:50:31,118 INFO org.apache.hadoop.mapred.TaskLogsTruncater: Initializing logs' truncater with mapRetainSize=-1 and reduceRetainSize=-1
2014-09-02 13:50:31,131 ERROR org.apache.hadoop.security.UserGroupInformation: PriviledgedActionException as:cloudera (auth:SIMPLE) cause:java.io.IOException: Copied: 0 Skipped: 0 Failed: 13
2014-09-02 13:50:31,131 WARN org.apache.hadoop.mapred.Child: Error running child
java.io.IOException: Copied: 0 Skipped: 0 Failed: 13
at org.apache.hadoop.tools.DistCp$CopyFilesMapper.close(DistCp.java:582)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:57)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:417)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:332)
at org.apache.hadoop.mapred.Child$4.run(Child.java:268)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
at org.apache.hadoop.mapred.Child.main(Child.java:262)
2014-09-02 13:50:31,145 INFO org.apache.hadoop.mapred.Task: Runnning cleanup for the task
=
Any help?
Thanks,
Rio

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