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Posted to issues@spark.apache.org by "Anika Kelhanka (Jira)" <ji...@apache.org> on 2020/10/09 14:04:00 UTC
[jira] [Commented] (SPARK-25080) NPE in
HiveShim$.toCatalystDecimal(HiveShim.scala:110)
[ https://issues.apache.org/jira/browse/SPARK-25080?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17211011#comment-17211011 ]
Anika Kelhanka commented on SPARK-25080:
----------------------------------------
I am able to produce this issue while querying a external Hive on parquet table with value is higher than the precision hive table is defined with (significant side) from spark shell in Spark 2.4. Th
scala> val df = spark.sql("select 'dummy' as name, 1000000000000000000010.7000000000000010 as value")
scala> df.write.mode("Overwrite").parquet("/my/hdfs/location/test")
hive> create external table db1.test_precision(name string, value Decimal(18,6)) STORED As PARQUET LOCATION '/my/hdfs/location/test';
scala> spark.conf.set("spark.sql.hive.convertMetastoreParquet","false")
scala> val df_hive = spark.sql("select * from db_gwm_morph_mrd.test_precision")
scala> df_hive.show
20/10/09 09:33:12 WARN hadoop.ParquetRecordReader: Can not initialize counter due to context is not a instance of TaskInputOutputContext, but is org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
20/10/09 09:33:12 ERROR executor.Executor: Exception in task 0.0 in stage 5.0 (TID 5)
java.lang.NullPointerException
at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:107)
at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:415)
at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$14$$anonfun$apply$11.apply(TableReader.scala:414)
at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:443)
at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$fillObject$2.apply(TableReader.scala:434)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:121)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1405)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
> NPE in HiveShim$.toCatalystDecimal(HiveShim.scala:110)
> ------------------------------------------------------
>
> Key: SPARK-25080
> URL: https://issues.apache.org/jira/browse/SPARK-25080
> Project: Spark
> Issue Type: Improvement
> Components: Input/Output
> Affects Versions: 2.3.1
> Environment: AWS EMR
> Reporter: Andrew K Long
> Priority: Minor
>
> NPE while reading hive table.
>
> ```
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1190 in stage 392.0 failed 4 times, most recent failure: Lost task 1190.3 in stage 392.0 (TID 122055, ip-172-31-32-196.ec2.internal, executor 487): java.lang.NullPointerException
> at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:110)
> at org.apache.spark.sql.hive.HadoopTableReader$$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$$anon$11.next(Iterator.scala:409)
> at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:217)
> at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$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)
> ... 3 more
> ```
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