HilbertGodel opened a new issue, #8978:
URL: https://github.com/apache/iceberg/issues/8978

   ### Apache Iceberg version
   
   1.4.1 (latest release)
   
   ### Query engine
   
   Spark
   
   ### Please describe the bug 🐞
   
   I connected to spark connect server with python, showing the exception below.
   However, spark-shell works for me.
   
   `
   org.apache.iceberg.spark.source.SerializableTableWithSize cannot be cast to 
org.apache.iceberg.Table
        at 
org.apache.iceberg.spark.source.SparkInputPartition.table(SparkInputPartition.java:88)
        at 
org.apache.iceberg.spark.source.BatchDataReader.<init>(BatchDataReader.java:50)
        at 
org.apache.iceberg.spark.source.SparkColumnarReaderFactory.createColumnarReader(SparkColumnarReaderFactory.java:52)
        at 
org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.advanceToNextIter(DataSourceRDD.scala:79)
        at 
org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.hasNext(DataSourceRDD.scala:63)
        at 
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
        at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown
 Source)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.hashAgg_doAggregateWithKeys_0$(Unknown
 Source)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
 Source)
        at 
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at 
org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
        at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
        at 
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:140)
        at 
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:104)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:54)
        at 
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
        at org.apache.spark.scheduler.Task.run(Task.scala:141)
        at 
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
        at 
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
        at 
org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
   `
   
   Iceberg Version: iceberg-spark-runtime-3.5_2.12:1.4.1
   Spark Version 3.5.0
   


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