Bug: Support arithmetic operations of Series containing Decimal(np.nan) 
Status: Resolved | Priority: Major | Resolution: Duplicate
Created: 14/Jul/21 23:38
Affects Version/s: 3.2.0

Arithmetic operations of Series containing Decimal(np.nan) raise java.lang.NullPointerException in driver. An example is shown as below:
{code:java}
>>> pser = pd.Series([decimal.Decimal(1.0), decimal.Decimal(2.0), decimal.Decimal(np.nan)])
>>> psser = ps.from_pandas(pser)
>>> pser + 1
0 2
 1 3
 2 NaN
>>> psser + 1
 Driver stacktrace:
 at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2259)
 at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2208)
 at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2207)
 at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
 at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
 at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
 at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2207)
 at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1084)
 at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1084)
 at scala.Option.foreach(Option.scala:407)
 at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1084)
 at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2446)
 at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2388)
 at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2377)
 at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
 at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:873)
 at org.apache.spark.SparkContext.runJob(SparkContext.scala:2208)
 at org.apache.spark.SparkContext.runJob(SparkContext.scala:2303)
 at org.apache.spark.sql.Dataset.$anonfun$collectAsArrowToPython$5(Dataset.scala:3648)
 at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
 at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1437)
 at org.apache.spark.sql.Dataset.$anonfun$collectAsArrowToPython$2(Dataset.scala:3652)
 at org.apache.spark.sql.Dataset.$anonfun$collectAsArrowToPython$2$adapted(Dataset.scala:3629)
 at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3706)
 at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
 at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
 at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
 at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:774)
 at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
 at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3704)
 at org.apache.spark.sql.Dataset.$anonfun$collectAsArrowToPython$1(Dataset.scala:3629)
 at org.apache.spark.sql.Dataset.$anonfun$collectAsArrowToPython$1$adapted(Dataset.scala:3628)
 at org.apache.spark.security.SocketAuthServer$.$anonfun$serveToStream$2(SocketAuthServer.scala:139)
 at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
 at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1437)
 at org.apache.spark.security.SocketAuthServer$.$anonfun$serveToStream$1(SocketAuthServer.scala:141)
 at org.apache.spark.security.SocketAuthServer$.$anonfun$serveToStream$1$adapted(SocketAuthServer.scala:136)
 at org.apache.spark.security.SocketFuncServer.handleConnection(SocketAuthServer.scala:113)
 at org.apache.spark.security.SocketFuncServer.handleConnection(SocketAuthServer.scala:107)
 at org.apache.spark.security.SocketAuthServer$$anon$1.$anonfun$run$4(SocketAuthServer.scala:68)
 at scala.util.Try$.apply(Try.scala:213)
 at org.apache.spark.security.SocketAuthServer$$anon$1.run(SocketAuthServer.scala:68)
 Caused by: java.lang.NullPointerException
 at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
 at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
 at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
 at scala.collection.Iterator$SliceIterator.hasNext(Iterator.scala:266)
 at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
 at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:131)
 at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:60)
 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
 at org.apache.spark.scheduler.Task.run(Task.scala:131)
 at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:498)
 at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1437)
 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:501)
 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
 at java.lang.Thread.run(Thread.java:748)
 
{code}