Harish created SPARK-18789: ------------------------------ Summary: Save Data frame with Null column exception Key: SPARK-18789 URL: https://issues.apache.org/jira/browse/SPARK-18789 Project: Spark Issue Type: Bug Affects Versions: 2.0.2 Reporter: Harish
I am trying to save a DF to HDFS which is having 1 column is NULL(no data). col1 col2 col3 a 1 null b 1 null c 1 null d 1 null code : df.write.format("orc").save(path, mode='overwrite') Error: java.lang.IllegalArgumentException: Error: type expected at the position 49 of 'string:string:string:double:string:double:string:null' but 'null' is found. at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:348) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:331) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseType(TypeInfoUtils.java:392) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseTypeInfos(TypeInfoUtils.java:305) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils.getTypeInfosFromTypeString(TypeInfoUtils.java:765) at org.apache.hadoop.hive.ql.io.orc.OrcSerde.initialize(OrcSerde.java:104) at org.apache.spark.sql.hive.orc.OrcSerializer.<init>(OrcFileFormat.scala:182) at org.apache.spark.sql.hive.orc.OrcOutputWriter.<init>(OrcFileFormat.scala:225) at org.apache.spark.sql.hive.orc.OrcFileFormat$$anon$1.newInstance(OrcFileFormat.scala:94) at org.apache.spark.sql.execution.datasources.BaseWriterContainer.newOutputWriter(WriterContainer.scala:131) at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:247) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:86) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) 16/12/08 19:41:49 ERROR TaskSetManager: Task 17 in stage 512.0 failed 4 times; aborting job 16/12/08 19:41:49 ERROR InsertIntoHadoopFsRelationCommand: Aborting job. org.apache.spark.SparkException: Job aborted due to stage failure: Task 17 in stage 512.0 failed 4 times, most recent failure: Lost task 17.3 in stage 512.0 (TID 37290, 10.63.136.108): java.lang.IllegalArgumentException: Error: type expected at the position 49 of 'string:string:string:double:string:double:string:null' but 'null' is found. at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:348) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:331) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseType(TypeInfoUtils.java:392) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseTypeInfos(TypeInfoUtils.java:305) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils.getTypeInfosFromTypeString(TypeInfoUtils.java:765) at org.apache.hadoop.hive.ql.io.orc.OrcSerde.initialize(OrcSerde.java:104) at org.apache.spark.sql.hive.orc.OrcSerializer.<init>(OrcFileFormat.scala:182) at org.apache.spark.sql.hive.orc.OrcOutputWriter.<init>(OrcFileFormat.scala:225) at org.apache.spark.sql.hive.orc.OrcFileFormat$$anon$1.newInstance(OrcFileFormat.scala:94) at org.apache.spark.sql.execution.datasources.BaseWriterContainer.newOutputWriter(WriterContainer.scala:131) at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:247) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:86) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1454) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1442) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1441) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1441) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1667) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1622) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1611) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1890) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1903) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1923) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelationCommand.scala:143) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRelationCommand.scala:115) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1.apply(InsertIntoHadoopFsRelationCommand.scala:115) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:115) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:60) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86) at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:510) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:211) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:194) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:280) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:214) at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.IllegalArgumentException: Error: type expected at the position 49 of 'string:string:string:double:string:double:string:null' but 'null' is found. at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:348) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:331) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseType(TypeInfoUtils.java:392) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseTypeInfos(TypeInfoUtils.java:305) at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils.getTypeInfosFromTypeString(TypeInfoUtils.java:765) at org.apache.hadoop.hive.ql.io.orc.OrcSerde.initialize(OrcSerde.java:104) at org.apache.spark.sql.hive.orc.OrcSerializer.<init>(OrcFileFormat.scala:182) at org.apache.spark.sql.hive.orc.OrcOutputWriter.<init>(OrcFileFormat.scala:225) at org.apache.spark.sql.hive.orc.OrcFileFormat$$anon$1.newInstance(OrcFileFormat.scala:94) at org.apache.spark.sql.execution.datasources.BaseWriterContainer.newOutputWriter(WriterContainer.scala:131) at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:247) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:86) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) ... 1 more 16/12/08 19:41:49 WARN TaskSetManager: Lost task 12.3 in stage 512.0 (TID 37297, 10.63.136.108): TaskKilled (killed intentionally) 16/12/08 19:41:49 WARN TaskSetManager: Lost task 11.3 in stage 512.0 (TID 37295, 10.63.136.108): TaskKilled (killed intentionally) 16/12/08 19:41:49 WARN TaskSetManager: Lost task 16.3 in stage 512.0 (TID 37296, 10.63.136.108): TaskKilled (killed intentionally) 16/12/08 19:41:49 WARN TaskSetManager: Lost task 8.3 in stage 512.0 (TID 37299, 10.63.136.108): TaskKilled (killed intentionally) 16/12/08 19:41:49 WARN TaskSetManager: Lost task 0.3 in stage 512.0 (TID 37298, 10.63.136.108): TaskKilled (killed intentionally) 16/12/08 19:41:49 ERROR DefaultWriterContainer: Job job_201612081941_0000 aborted. Traceback (most recent call last): File "scripts/abc.py", line 134, in <module> <<code>> File "/spark-2.0.2-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 547, in save File "/spark-2.0.2-bin-hadoop2.7/python/lib/py4j-0.10.3-src.zip/py4j/java_gateway.py", line 1133, in __call__ File "/spark-2.0.2-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco File "/spark-2.0.2-bin-hadoop2.7/python/lib/py4j-0.10.3-src.zip/py4j/protocol.py", line 319, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o1857.save. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org