[
https://issues.apache.org/jira/browse/SPARK-45644?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Adi Wehrli updated SPARK-45644:
-------------------------------
Description:
A Spark job ran successfully with Spark 3.2.x and 3.3.x.
But after upgrading to 3.4.1 (as well as with 3.5.0) running the same job with
the same data the following always occurs now:
{code}
scala.Some is not a valid external type for schema of array<string>
{code}
The corresponding stacktrace is:
{code}
2023-10-24T06:28:50.932 level=ERROR logger=org.apache.spark.executor.Executor
msg="Exception in task 0.0 in stage 0.0 (TID 0)" thread="Executor task launch
worker for task 0.0 in stage 0.0 (TID 0)"
java.lang.RuntimeException: scala.Some is not a valid external type for schema
of array<string>
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.MapObjects_10$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.ExternalMapToCatalyst_1$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.createNamedStruct_14_3$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.If_12$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.execution.ObjectOperator$.$anonfun$serializeObjectToRow$1(objects.scala:165)
~[spark-sql_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.sql.execution.AppendColumnsWithObjectExec.$anonfun$doExecute$15(objects.scala:380)
~[spark-sql_2.12-3.5.0.jar:3.5.0]
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
~[scala-library-2.12.15.jar:?]
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
~[scala-library-2.12.15.jar:?]
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:169)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:104)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:54)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at org.apache.spark.scheduler.Task.run(Task.scala:141)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
[spark-core_2.12-3.5.0.jar:3.5.0]
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
[?:?]
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
[?:?]
at java.lang.Thread.run(Thread.java:834) [?:?]
2023-10-24T06:28:50.932 level=ERROR logger=org.apache.spark.executor.Executor
msg="Exception in task 1.0 in stage 0.0 (TID 1)" thread="Executor task launch
worker for task 1.0 in stage 0.0 (TID 1)"
java.lang.RuntimeException: scala.Some is not a valid external type for schema
of array<string>
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.MapObjects_10$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.ExternalMapToCatalyst_1$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.createNamedStruct_14_3$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.If_12$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.execution.ObjectOperator$.$anonfun$serializeObjectToRow$1(objects.scala:165)
~[spark-sql_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.sql.execution.AppendColumnsWithObjectExec.$anonfun$doExecute$15(objects.scala:380)
~[spark-sql_2.12-3.5.0.jar:3.5.0]
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
~[scala-library-2.12.15.jar:?]
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
~[scala-library-2.12.15.jar:?]
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:169)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:104)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:54)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at org.apache.spark.scheduler.Task.run(Task.scala:141)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
[spark-core_2.12-3.5.0.jar:3.5.0]
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
[?:?]
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
[?:?]
at java.lang.Thread.run(Thread.java:834) [?:?]
{code}
As the error occurs in generated code we cannot debug what was really the
cause. We patched the {{ValidateExternalType}} case class (in trait
{{org.apache.spark.sql.catalyst.expressions.InvokeLike}}) adding some sysout
statements but we could still not get any answer which data structure was
causing this.
And we did not find anything in the upgrade guides about such a behaviour or
how to change some property to re-gain the former behaviour.
What could be the cause for this? In Spark 3.3.3 {{ScalaReflection}} was used
in {{InvokeLite}}, Spark 3.4.x and 3.5.0 now use {{EncoderUtils}} instead.
The same also occurs if we use Scala 2.12.18.
h4. Some dependencies information:
h5. Spark 3.3.3
* Avro {{1.11.0}}
* SnakeYAML {{1.31}}
* FasterXML Jackson {{2.13.4}}
* Json4s {{3.7.0-M11}}
* scala-collection-compat_2.12 {{2.3.0}}
* Kafka {{3.4.1}}
* kafka-avro-serializer {{7.4.1}}
h5. Spark 3.5.0
* Avro {{1.11.2}}
* SnakeYAML {{2.0}}
* FasterXML Jackson {{2.15.2}}
* Json4s {{3.7.0-M11}}
* scala-collection-compat_2.12 {{2.3.0}}
* Kafka {{3.5.1}}
* kafka-avro-serializer {{7.5.1}}
was:
A Spark job ran successfully with Spark 3.2.x and 3.3.x.
But after upgrading to 3.4.1 (as well as with 3.5.0) the following always
occurs now:
{code}
scala.Some is not a valid external type for schema of array<string>
{code}
The corresponding stacktrace is:
{code}
2023-10-24T06:28:50.932 level=ERROR logger=org.apache.spark.executor.Executor
msg="Exception in task 0.0 in stage 0.0 (TID 0)" thread="Executor task launch
worker for task 0.0 in stage 0.0 (TID 0)"
java.lang.RuntimeException: scala.Some is not a valid external type for schema
of array<string>
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.MapObjects_10$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.ExternalMapToCatalyst_1$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.createNamedStruct_14_3$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.If_12$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.execution.ObjectOperator$.$anonfun$serializeObjectToRow$1(objects.scala:165)
~[spark-sql_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.sql.execution.AppendColumnsWithObjectExec.$anonfun$doExecute$15(objects.scala:380)
~[spark-sql_2.12-3.5.0.jar:3.5.0]
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
~[scala-library-2.12.15.jar:?]
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
~[scala-library-2.12.15.jar:?]
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:169)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:104)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:54)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at org.apache.spark.scheduler.Task.run(Task.scala:141)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
[spark-core_2.12-3.5.0.jar:3.5.0]
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
[?:?]
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
[?:?]
at java.lang.Thread.run(Thread.java:834) [?:?]
2023-10-24T06:28:50.932 level=ERROR logger=org.apache.spark.executor.Executor
msg="Exception in task 1.0 in stage 0.0 (TID 1)" thread="Executor task launch
worker for task 1.0 in stage 0.0 (TID 1)"
java.lang.RuntimeException: scala.Some is not a valid external type for schema
of array<string>
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.MapObjects_10$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.ExternalMapToCatalyst_1$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.createNamedStruct_14_3$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.If_12$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.execution.ObjectOperator$.$anonfun$serializeObjectToRow$1(objects.scala:165)
~[spark-sql_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.sql.execution.AppendColumnsWithObjectExec.$anonfun$doExecute$15(objects.scala:380)
~[spark-sql_2.12-3.5.0.jar:3.5.0]
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
~[scala-library-2.12.15.jar:?]
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
~[scala-library-2.12.15.jar:?]
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:169)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:104)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:54)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at org.apache.spark.scheduler.Task.run(Task.scala:141)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
~[spark-core_2.12-3.5.0.jar:3.5.0]
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
[spark-core_2.12-3.5.0.jar:3.5.0]
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
[?:?]
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
[?:?]
at java.lang.Thread.run(Thread.java:834) [?:?]
{code}
As the error occurs in generated code we cannot debug what was really the
cause. We patched the {{ValidateExternalType}} case class (in trait
{{org.apache.spark.sql.catalyst.expressions.InvokeLike}}) adding some sysout
statements but we could still not get any answer which data structure was
causing this.
And we did not find anything in the upgrade guides about such a behaviour or
how to change some property to re-gain the former behaviour.
What could be the cause for this? In Spark 3.3.3 {{ScalaReflection}} was used
in {{InvokeLite}}, Spark 3.4.x and 3.5.0 now use {{EncoderUtils}} instead.
The same also occurs if we use Scala 2.12.18.
h4. Some dependencies information:
h5. Spark 3.3.3
* Avro {{1.11.0}}
* SnakeYAML {{1.31}}
* FasterXML Jackson {{2.13.4}}
* Json4s {{3.7.0-M11}}
* scala-collection-compat_2.12 {{2.3.0}}
* Kafka {{3.4.1}}
* kafka-avro-serializer {{7.4.1}}
h5. Spark 3.5.0
* Avro {{1.11.2}}
* SnakeYAML {{2.0}}
* FasterXML Jackson {{2.15.2}}
* Json4s {{3.7.0-M11}}
* scala-collection-compat_2.12 {{2.3.0}}
* Kafka {{3.5.1}}
* kafka-avro-serializer {{7.5.1}}
> After upgrading to Spark 3.4.1 and 3.5.0 we receive RuntimeException
> "scala.Some is not a valid external type for schema of array<string>"
> ------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-45644
> URL: https://issues.apache.org/jira/browse/SPARK-45644
> Project: Spark
> Issue Type: Question
> Components: Spark Core, SQL
> Affects Versions: 3.4.1, 3.5.0
> Reporter: Adi Wehrli
> Priority: Major
>
> A Spark job ran successfully with Spark 3.2.x and 3.3.x.
> But after upgrading to 3.4.1 (as well as with 3.5.0) running the same job
> with the same data the following always occurs now:
> {code}
> scala.Some is not a valid external type for schema of array<string>
> {code}
> The corresponding stacktrace is:
> {code}
> 2023-10-24T06:28:50.932 level=ERROR logger=org.apache.spark.executor.Executor
> msg="Exception in task 0.0 in stage 0.0 (TID 0)" thread="Executor task launch
> worker for task 0.0 in stage 0.0 (TID 0)"
> java.lang.RuntimeException: scala.Some is not a valid external type for
> schema of array<string>
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.MapObjects_10$(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.ExternalMapToCatalyst_1$(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.createNamedStruct_14_3$(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.If_12$(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.execution.ObjectOperator$.$anonfun$serializeObjectToRow$1(objects.scala:165)
> ~[spark-sql_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.sql.execution.AppendColumnsWithObjectExec.$anonfun$doExecute$15(objects.scala:380)
> ~[spark-sql_2.12-3.5.0.jar:3.5.0]
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
> ~[scala-library-2.12.15.jar:?]
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
> ~[scala-library-2.12.15.jar:?]
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:169)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:104)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:54)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at org.apache.spark.scheduler.Task.run(Task.scala:141)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
> ~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
> ~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
> [spark-core_2.12-3.5.0.jar:3.5.0]
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
> [?:?]
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
> [?:?]
> at java.lang.Thread.run(Thread.java:834) [?:?]
> 2023-10-24T06:28:50.932 level=ERROR logger=org.apache.spark.executor.Executor
> msg="Exception in task 1.0 in stage 0.0 (TID 1)" thread="Executor task launch
> worker for task 1.0 in stage 0.0 (TID 1)"
> java.lang.RuntimeException: scala.Some is not a valid external type for
> schema of array<string>
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.MapObjects_10$(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.ExternalMapToCatalyst_1$(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.createNamedStruct_14_3$(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.If_12$(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source) ~[?:?]
> at
> org.apache.spark.sql.execution.ObjectOperator$.$anonfun$serializeObjectToRow$1(objects.scala:165)
> ~[spark-sql_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.sql.execution.AppendColumnsWithObjectExec.$anonfun$doExecute$15(objects.scala:380)
> ~[spark-sql_2.12-3.5.0.jar:3.5.0]
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
> ~[scala-library-2.12.15.jar:?]
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
> ~[scala-library-2.12.15.jar:?]
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:169)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:104)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:54)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at org.apache.spark.scheduler.Task.run(Task.scala:141)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
> ~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
> ~[spark-common-utils_2.12-3.5.0.jar:3.5.0]
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
> ~[spark-core_2.12-3.5.0.jar:3.5.0]
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
> [spark-core_2.12-3.5.0.jar:3.5.0]
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
> [?:?]
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
> [?:?]
> at java.lang.Thread.run(Thread.java:834) [?:?]
> {code}
> As the error occurs in generated code we cannot debug what was really the
> cause. We patched the {{ValidateExternalType}} case class (in trait
> {{org.apache.spark.sql.catalyst.expressions.InvokeLike}}) adding some sysout
> statements but we could still not get any answer which data structure was
> causing this.
> And we did not find anything in the upgrade guides about such a behaviour or
> how to change some property to re-gain the former behaviour.
> What could be the cause for this? In Spark 3.3.3 {{ScalaReflection}} was used
> in {{InvokeLite}}, Spark 3.4.x and 3.5.0 now use {{EncoderUtils}} instead.
> The same also occurs if we use Scala 2.12.18.
> h4. Some dependencies information:
> h5. Spark 3.3.3
> * Avro {{1.11.0}}
> * SnakeYAML {{1.31}}
> * FasterXML Jackson {{2.13.4}}
> * Json4s {{3.7.0-M11}}
> * scala-collection-compat_2.12 {{2.3.0}}
> * Kafka {{3.4.1}}
> * kafka-avro-serializer {{7.4.1}}
> h5. Spark 3.5.0
> * Avro {{1.11.2}}
> * SnakeYAML {{2.0}}
> * FasterXML Jackson {{2.15.2}}
> * Json4s {{3.7.0-M11}}
> * scala-collection-compat_2.12 {{2.3.0}}
> * Kafka {{3.5.1}}
> * kafka-avro-serializer {{7.5.1}}
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