We are migrating our Scala jobs from AWS EMR (6.2.1 and Spark version - 3.0.1) to Lakehouse and few of our jobs are failing due to NullPointerException. We tried in Databricks Runtime 7.3 LTS, it is working fine. Because it had same spark version 3.0 as in BDP (EMR). But we need to run it in latest Databricks Runtime 11 or 12.
I tried to understand the changes that happened between Spark 3.0 and 3.1 and updated the below parameter:
"spark.sql.legacy.castComplexTypesToString.enabled" to "true".
As I thought this one is relevant but it didn't help.
Can someone please help on this. Below is the error stack trace:
Caused by: java.lang.RuntimeException: Error while decoding: java.lang.NullPointerException: Null value appeared in non-nullable field:
- array element class: "scala.Boolean"
- root class: "scala.collection.mutable.WrappedArray"
If the schema is inferred from a Scala tuple/case class, or a Java bean, please try to use scala.Option[_] or other nullable types (e.g. java.lang.Integer instead of int/scala.Int).
mapobjects(lambdavariable(MapObject, BooleanType, true, -1), assertnotnull(lambdavariable(MapObject, BooleanType, true, -1)), input[0, array<boolean>, true], Some(class scala.collection.mutable.WrappedArray))
at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$Deserializer.apply(ExpressionEncoder.scala:201)
at org.apache.spark.sql.catalyst.expressions.ScalaUDF.$anonfun$scalaConverter$2(ScalaUDF.scala:162)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:757)
at org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec.$anonfun$doExecute$2(ObjectHashAggregateExec.scala:102)
at org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec.$anonfun$doExecute$2$adapted(ObjectHashAggregateExec.scala:100)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2(RDD.scala:890)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2$adapted(RDD.scala:890)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:380)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:344)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:60)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:380)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:344)
at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.$anonfun$runTask$3(ShuffleMapTask.scala:81)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ShuffleMapTask.$anonfun$runTask$1(ShuffleMapTask.scala:81)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:150)
at org.apache.spark.scheduler.Task.$anonfun$run$1(Task.scala:119)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.Task.run(Task.scala:91)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$13(Executor.scala:819)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1657)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:822)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:678)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750
