Bug: NPE in org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:106)
Status: Resolved | Priority: Major | Resolution: Fixed
Created: 02/Nov/21 09:56
Affects Version/s: 3.0.1

Still reproducible in Spark 3.0.1.

+*How to reproduce:*+


*SHELL*

> export SPARK_MAJOR_VERSION=3

*SPARK PART 1*

> spark-shell --master local
SPARK_MAJOR_VERSION is set to 3, using Spark3
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
21/10/25 11:43:58 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
21/10/25 11:43:58 WARN Utils: Service 'SparkUI' could not bind on port 4041. Attempting port 4042.
Spark context Web UI available at <server>:4042
Spark context available as 'sc' (master = local, app id = local-1635151438558).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 3.0.1
      /_/

Using Scala version 2.12.10 (OpenJDK 64-Bit Server VM, Java 1.8.0_302)
Type in expressions to have them evaluated.
Type :help for more information.

scala> val df = spark.sql("select 'dummy' as name, 1000000000000000000010.7000000000000010 as value")
df: org.apache.spark.sql.DataFrame = [name: string, value: decimal(38,16)]

scala> df.write.mode("Overwrite").parquet("test.parquet")

*HIVE*

hive> create external table test_precision(name string, value Decimal(18,6)) STORED AS PARQUET LOCATION 'test';
OK
Time taken: 0.067 seconds

*SPARK PART 2*
                   
scala> spark.conf.set("spark.sql.hive.convertMetastoreParquet","false");

scala> val df_hive = spark.sql("select * from test_precision");
df_hive: org.apache.spark.sql.DataFrame = [name: string, value: decimal(18,6)]

scala> df_hive.show;
21/10/25 12:04:51 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)/ 1]
*{color:red}java.lang.NullPointerException
        at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:106){color}*
        at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$13(TableReader.scala:465)
        at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$13$adapted(TableReader.scala:464)
        at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$18(TableReader.scala:493)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
        at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
        at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
        at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
        at org.apache.spark.scheduler.Task.run(Task.scala:127)
        at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
21/10/25 12:04:51 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2, tklis-kappd0005.dev.df.sbrf.ru, executor driver): java.lang.NullPointerException
        at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:106)
        at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$13(TableReader.scala:465)
        at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$13$adapted(TableReader.scala:464)
        at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$18(TableReader.scala:493)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
        at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
        at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
        at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
        at org.apache.spark.scheduler.Task.run(Task.scala:127)
        at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)

21/10/25 12:04:51 ERROR TaskSetManager: Task 0 in stage 2.0 failed 1 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, tklis-kappd0005.dev.df.sbrf.ru, executor driver): java.lang.NullPointerException
        at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:106)
        at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$13(TableReader.scala:465)
        at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$13$adapted(TableReader.scala:464)
       at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$18(TableReader.scala:493)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
        at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
        at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
        at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
        at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
        at org.apache.spark.scheduler.Task.run(Task.scala:127)
        at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
  at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2059)
  at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2008)
  at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2007)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2007)
  at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:973)
  at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:973)
  at scala.Option.foreach(Option.scala:407)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:973)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2239)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2188)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2177)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
  at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:775)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2120)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2139)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:467)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:420)
  at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:47)
  at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3627)
  at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2697)
  at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3618)
  at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100)
  at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
  at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
  at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
  at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3616)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:2697)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2904)
  at org.apache.spark.sql.Dataset.getRows(Dataset.scala:300)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:337)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:824)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:783)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:792)
  ... 47 elided
Caused by: java.lang.NullPointerException
  at org.apache.spark.sql.hive.HiveShim$.toCatalystDecimal(HiveShim.scala:106)
  at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$13(TableReader.scala:465)
  at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$13$adapted(TableReader.scala:464)
  at org.apache.spark.sql.hive.HadoopTableReader$.$anonfun$fillObject$18(TableReader.scala:493)
  at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
  at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
  at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
  at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
  at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
  at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
  at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
  at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
  at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
  at org.apache.spark.scheduler.Task.run(Task.scala:127)
  at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
  at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
  at java.lang.Thread.run(Thread.java:748)