dushyanthbn opened a new issue #460: 
df.write.format("iceberg").mode(SaveMode.Append).save is resulting in 
com.esotericsoftware.kryo.KryoException: java.lang.UnsupportedOperationException
URL: https://github.com/apache/incubator-iceberg/issues/460
 
 
   Caused by: org.apache.spark.SparkException: Job aborted due to stage 
failure: Exception while getting task result: 
com.esotericsoftware.kryo.KryoException: java.lang.UnsupportedOperationException
   Serialization trace:
   splitOffsets (org.apache.iceberg.GenericDataFile)
   files (org.apache.iceberg.spark.source.Writer$TaskCommit)
     at 
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889)
     at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
     at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876)
     at 
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
     at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
     at 
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876)
     at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
     at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
     at scala.Option.foreach(Option.scala:257)
     at 
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
     at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110)
     at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059)
     at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048)
     at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
     at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
     at 
org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2Exec.scala:64)
     ... 65 more

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