kerwin-zk opened a new issue, #8437:
URL: https://github.com/apache/incubator-gluten/issues/8437

   ### Backend
   
   VL (Velox)
   
   ### Bug description
   
   When executing the sort shuffle of Rss in q72 of 1T-tpcds, the following 
exception occurred.
   ```
   org.apache.gluten.exception.GlutenException: 
org.apache.gluten.exception.GlutenException: Exception: VeloxRuntimeError
   Error Source: RUNTIME
   Error Code: INVALID_STATE
   Reason: Operator::getOutput failed for [operator: ValueStream, plan node ID: 
2]: Error during calling Java code from native code: 
org.apache.gluten.exception.GlutenException: 
org.apache.gluten.exception.GlutenException: Exception: VeloxRuntimeError
   Error Source: RUNTIME
   Error Code: INVALID_STATE
   Reason: PrestoPage header is invalid: 16 bytes for header
   Retriable: False
   Expression: maybeHeader.hasValue()
   Context: Operator: ValueStream[2] 0
   Function: deserialize
   File: /velox/velox/serializers/PrestoSerializer.cpp
   Line: 4375
   Stack trace:
   # 0  facebook::velox::VeloxException::VeloxException(char const*, unsigned 
long, char const*, std::basic_string_view >, std::basic_string_view >, 
std::basic_string_view >, std::basic_string_view >, bool, 
facebook::velox::VeloxException::Type, std::basic_string_view >)
   # 1  void facebook::velox::detail::veloxCheckFail, std::allocator > 
const&>(facebook::velox::detail::VeloxCheckFailArgs const&, 
std::__cxx11::basic_string, std::allocator > const&)
   # 2  
facebook::velox::serializer::presto::PrestoVectorSerde::deserialize(facebook::velox::ByteInputStream*,
 facebook::velox::memory::MemoryPool*, std::shared_ptr, std::shared_ptr*, int, 
facebook::velox::VectorSerde::Options const*)
   # 3  
facebook::velox::serializer::presto::PrestoVectorSerde::deserialize(facebook::velox::ByteInputStream*,
 facebook::velox::memory::MemoryPool*, std::shared_ptr, std::shared_ptr*, 
facebook::velox::VectorSerde::Options const*)
   # 4  
facebook::velox::VectorStreamGroup::read(facebook::velox::ByteInputStream*, 
facebook::velox::memory::MemoryPool*, std::shared_ptr, 
facebook::velox::VectorSerde*, std::shared_ptr*, 
facebook::velox::VectorSerde::Options const*)
   # 5  gluten::VeloxRssSortShuffleReaderDeserializer::next()
   # 6  Java_org_apache_gluten_vectorized_ColumnarBatchOutIterator_nativeNext
   # 7  0x00007f89a4eec7a8
   
        at 
org.apache.gluten.iterator.ClosableIterator.next(ClosableIterator.java:53)
        at 
org.apache.spark.shuffle.CelebornColumnarBatchSerializerInstance$TaskDeserializationStream.liftedTree1$1(VeloxCelebornColumnarBatchSerializer.scala:201)
        at 
org.apache.spark.shuffle.CelebornColumnarBatchSerializerInstance$TaskDeserializationStream.readValue(VeloxCelebornColumnarBatchSerializer.scala:200)
        at 
org.apache.spark.shuffle.CelebornColumnarBatchSerializerInstance$TaskDeserializationStream$$anon$1.getNext(VeloxCelebornColumnarBatchSerializer.scala:154)
        at 
org.apache.spark.shuffle.CelebornColumnarBatchSerializerInstance$TaskDeserializationStream$$anon$1.hasNext(VeloxCelebornColumnarBatchSerializer.scala:165)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490)
        at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
        at 
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
        at 
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
        at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
        at 
scala.collection.convert.Wrappers$IteratorWrapper.hasNext(Wrappers.scala:32)
        at 
org.apache.gluten.vectorized.ColumnarBatchInIterator.hasNext(ColumnarBatchInIterator.java:36)
        at 
org.apache.gluten.vectorized.ColumnarBatchOutIterator.nativeHasNext(Native 
Method)
        at 
org.apache.gluten.vectorized.ColumnarBatchOutIterator.hasNext0(ColumnarBatchOutIterator.java:57)
        at 
org.apache.gluten.iterator.ClosableIterator.hasNext(ClosableIterator.java:39)
        at 
scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:45)
        at 
org.apache.gluten.iterator.IteratorsV1$InvocationFlowProtection.hasNext(IteratorsV1.scala:159)
        at 
org.apache.gluten.iterator.IteratorsV1$IteratorCompleter.hasNext(IteratorsV1.scala:71)
        at 
org.apache.gluten.iterator.IteratorsV1$PayloadCloser.hasNext(IteratorsV1.scala:37)
        at 
org.apache.gluten.iterator.IteratorsV1$LifeTimeAccumulator.hasNext(IteratorsV1.scala:100)
        at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:513)
        at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
        at scala.collection.Iterator.foreach(Iterator.scala:943)
        at scala.collection.Iterator.foreach$(Iterator.scala:943)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
        at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
        at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
        at 
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
        at 
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
        at scala.collection.TraversableOnce.to(TraversableOnce.scala:366)
        at scala.collection.TraversableOnce.to$(TraversableOnce.scala:364)
        at scala.collection.AbstractIterator.to(Iterator.scala:1431)
        at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:358)
        at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:358)
        at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1431)
        at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:345)
        at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:339)
        at scala.collection.AbstractIterator.toArray(Iterator.scala:1431)
        at 
org.apache.spark.sql.execution.BroadcastUtils$.serializeStream(BroadcastUtils.scala:154)
        at 
org.apache.gluten.backendsapi.velox.VeloxSparkPlanExecApi.$anonfun$createBroadcastRelation$1(VeloxSparkPlanExecApi.scala:626)
        at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:856)
        at 
org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:856)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:92)
        at 
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
        at org.apache.spark.scheduler.Task.run(Task.scala:139)
        at 
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1545)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:750)
   ```
   
   ### Spark version
   
   None
   
   ### Spark configurations
   
   _No response_
   
   ### System information
   
   _No response_
   
   ### Relevant logs
   
   _No response_


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