[jira] [Updated] (SPARK-36651) NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
[ https://issues.apache.org/jira/browse/SPARK-36651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Serge Shikov updated SPARK-36651: - Description: This is still reproducible in Spark 2.4.5. Original issue SPARK-25080 conains steps to reproduce. ``` Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1190 in stage 392.0 failed 4 times, most recent failure: Lost task 1190.3 in stage 392.0 (TID 122055, ip-172-31-32-196.ec2.internal, executor 487): java.lang.NullPointerException at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:414) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:413) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:442) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:433) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:217) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:294) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:265) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at org.apache.spark.scheduler.Task.run(Task.scala:109) at org.apache.spark.executor.Executor$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$$failJobAndIndependentStages(DAGScheduler.scala:1753) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1741) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1740) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1740) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:871) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1974) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1923) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1912) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:682) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:194) ... 67 more Caused by: java.lang.NullPointerException at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:414) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:413) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:442) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:433) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:217) at org.apache.spark.sql.execution.exchange.Shuf
[jira] [Updated] (SPARK-36651) NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
[ https://issues.apache.org/jira/browse/SPARK-36651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Serge Shikov updated SPARK-36651: - Issue Type: Bug (was: Improvement) > NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110) > -- > > Key: SPARK-36651 > URL: https://issues.apache.org/jira/browse/SPARK-36651 > Project: Spark > Issue Type: Bug > Components: Input/Output >Affects Versions: 2.4.5 > Environment: AWS EMR >Reporter: Serge Shikov >Priority: Minor > > This is still reproducible in Spark 2.4.5. Original issue conains steps to > reproduce. > > ``` > Caused by: org.apache.spark.SparkException: Job aborted due to stage > failure: Task 1190 in stage 392.0 failed 4 times, most recent failure: Lost > task 1190.3 in stage 392.0 (TID 122055, ip-172-31-32-196.ec2.internal, > executor 487): java.lang.NullPointerException > at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:414) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:413) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:442) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:433) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:217) > at > org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:294) > at > org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:265) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:109) > at org.apache.spark.executor.Executor$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$$failJobAndIndependentStages(DAGScheduler.scala:1753) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1741) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1740) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1740) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:871) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1974) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1923) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1912) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:682) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:194) > ... 67 more > Caused by: java.lang.NullPointerException > at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.
[jira] [Updated] (SPARK-36651) NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
[ https://issues.apache.org/jira/browse/SPARK-36651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Serge Shikov updated SPARK-36651: - Priority: Major (was: Minor) > NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110) > -- > > Key: SPARK-36651 > URL: https://issues.apache.org/jira/browse/SPARK-36651 > Project: Spark > Issue Type: Bug > Components: Input/Output >Affects Versions: 2.4.5 > Environment: AWS EMR >Reporter: Serge Shikov >Priority: Major > > This is still reproducible in Spark 2.4.5. Original issue conains steps to > reproduce. > > ``` > Caused by: org.apache.spark.SparkException: Job aborted due to stage > failure: Task 1190 in stage 392.0 failed 4 times, most recent failure: Lost > task 1190.3 in stage 392.0 (TID 122055, ip-172-31-32-196.ec2.internal, > executor 487): java.lang.NullPointerException > at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:414) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:413) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:442) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:433) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:217) > at > org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:294) > at > org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:265) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:109) > at org.apache.spark.executor.Executor$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$$failJobAndIndependentStages(DAGScheduler.scala:1753) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1741) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1740) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1740) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:871) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1974) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1923) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1912) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:682) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:194) > ... 67 more > Caused by: java.lang.NullPointerException > at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(
[jira] [Updated] (SPARK-36651) NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
[ https://issues.apache.org/jira/browse/SPARK-36651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Serge Shikov updated SPARK-36651: - Description: This is still reproducible in Spark 2.4.5. Original issue conains steps to reproduce. ``` Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1190 in stage 392.0 failed 4 times, most recent failure: Lost task 1190.3 in stage 392.0 (TID 122055, ip-172-31-32-196.ec2.internal, executor 487): java.lang.NullPointerException at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:414) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:413) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:442) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:433) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:217) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:294) at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:265) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at org.apache.spark.scheduler.Task.run(Task.scala:109) at org.apache.spark.executor.Executor$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$$failJobAndIndependentStages(DAGScheduler.scala:1753) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1741) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1740) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1740) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:871) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1974) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1923) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1912) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:682) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:194) ... 67 more Caused by: java.lang.NullPointerException at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:414) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:413) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:442) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:433) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:217) at org.apache.spark.sql.execution.exchange.ShuffleExchangeE
[jira] [Updated] (SPARK-36651) NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
[ https://issues.apache.org/jira/browse/SPARK-36651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Serge Shikov updated SPARK-36651: - Affects Version/s: (was: 2.3.1) 2.4.5 > NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110) > -- > > Key: SPARK-36651 > URL: https://issues.apache.org/jira/browse/SPARK-36651 > Project: Spark > Issue Type: Improvement > Components: Input/Output >Affects Versions: 2.4.5 > Environment: AWS EMR >Reporter: Serge Shikov >Priority: Minor > > This is still reproducible in Spark 2.4.5. Original issue conains steps to > reproduce. > > ``` > Caused by: org.apache.spark.SparkException: Job aborted due to stage > failure: Task 1190 in stage 392.0 failed 4 times, most recent failure: Lost > task 1190.3 in stage 392.0 (TID 122055, ip-172-31-32-196.ec2.internal, > executor 487): java.lang.NullPointerException > at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:414) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:413) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:442) > at > org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:433) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:217) > at > org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:294) > at > org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$2.apply(ShuffleExchangeExec.scala:265) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) > at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) > at org.apache.spark.scheduler.Task.run(Task.scala:109) > at org.apache.spark.executor.Executor$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$$failJobAndIndependentStages(DAGScheduler.scala:1753) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1741) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1740) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1740) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:871) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:871) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1974) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1923) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1912) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:682) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:194) > ... 67 more > Caused by: java.lang.NullPointerException > at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110) > at > org.apache.spark.sql.hive.HadoopTable