jzhuge opened a new issue, #7682:
URL: https://github.com/apache/iceberg/issues/7682

   ### Apache Iceberg version
   
   1.1.0
   
   ### Query engine
   
   Spark
   
   ### Please describe the bug 🐞
   
   ```
   spark-sql-3.3> create table jzhuge.b1 (key binary, ts timestamp) partitioned 
by (bucket(4, key));
   spark-sql-3.3> create table jzhuge.tb1 (key binary, ts timestamp);
   
   spark-sql-3.3> insert into jzhuge.tb1 values (X'a1a2', timestamp 
'2023-05-01'), (X'b1b2', timestamp '2023-05-02');
   
   spark-sql-3.3> table jzhuge.tb1;
   ��      2023-05-01 00:00:00
   ��      2023-05-02 00:00:00
   
   spark-sql-3.3> insert into jzhuge.b1 table jzhuge.tb1;
   23/05/22 19:04:29 ERROR Executor: Exception in task 0.0 in stage 4.0 (TID 5)
   java.lang.ClassCastException: [B cannot be cast to java.nio.ByteBuffer
           at 
org.apache.iceberg.transforms.Bucket$BucketByteBuffer.apply(Bucket.java:230)
           at 
org.apache.spark.sql.catalyst.expressions.IcebergBucketTransform.$anonfun$bucketFunc$3(TransformExpressions.scala:116)
           at 
org.apache.spark.sql.catalyst.expressions.IcebergBucketTransform.$anonfun$bucketFunc$3$adapted(TransformExpressions.scala:116)
           at 
org.apache.spark.sql.catalyst.expressions.IcebergBucketTransform.nullSafeEval(TransformExpressions.scala:120)
           at 
org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:512)
           at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
 Source)
           at 
org.apache.spark.sql.execution.SortExec$$anon$1.computePrefix(SortExec.scala:90)
           at 
org.apache.spark.sql.execution.UnsafeExternalRowSorter.insertRow(UnsafeExternalRowSorter.java:137)
           at 
org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:226)
           at 
org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119)
           at 
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:903)
           at 
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:903)
           at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
           at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:378)
           at org.apache.spark.rdd.RDD.iterator(RDD.scala:342)
           at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
           at org.apache.spark.scheduler.Task.run(Task.scala:136)
           at 
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:555)
           at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1531)
           at 
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:558)
           at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
           at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
           at java.lang.Thread.run(Thread.java:750)
   ```


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