mixermt commented on issue #1714:
URL:
https://github.com/apache/datafusion-comet/issues/1714#issuecomment-2849354985
Another observation, failure happens while read of data from Iceberg table.
Either we have some versions mismatch, jar hell or some other still unknown
reason to me
We are using Iceberg version 1.6.1
Occasionally I see things like
```
java.lang.IllegalAccessError: tried to access method Å.()V from class
org.apache.iceberg.shaded.org.apache.parquet.bytes.SingleBufferInputStream
at
org.apache.iceberg.shaded.org.apache.parquet.bytes.SingleBufferInputStream.(SingleBufferInputStream.java:37)
at Å.wrap(ByteBufferInputStream.java:38)
at
org.apache.iceberg.shaded.org.apache.parquet.bytes.BytesInput$ByteBufferBytesInput.toInputStream(BytesInput.java:532)
at
org.apache.iceberg.shaded.org.apache.parquet.hadoop.CodecFactory$HeapBytesDecompressor.decompress(CodecFactory.java:112)
at
org.apache.iceberg.shaded.org.apache.parquet.hadoop.ColumnChunkPageReadStore$ColumnChunkPageReader$1.visit(ColumnChunkPageReadStore.java:139)
at
org.apache.iceberg.shaded.org.apache.parquet.hadoop.ColumnChunkPageReadStore$ColumnChunkPageReader$1.visit(ColumnChunkPageReadStore.java:131)
at
org.apache.iceberg.shaded.org.apache.parquet.column.page.DataPageV1.accept(DataPageV1.java:120)
at
org.apache.iceberg.shaded.org.apache.parquet.hadoop.ColumnChunkPageReadStore$ColumnChunkPageReader.readPage(ColumnChunkPageReadStore.java:131)
at
org.apache.iceberg.parquet.BaseColumnIterator.advance(BaseColumnIterator.java:59)
at
org.apache.iceberg.arrow.vectorized.parquet.VectorizedColumnIterator.access$100(VectorizedColumnIterator.java:35)
at
org.apache.iceberg.arrow.vectorized.parquet.VectorizedColumnIterator$BatchReader.nextBatch(VectorizedColumnIterator.java:75)
at
org.apache.iceberg.arrow.vectorized.VectorizedArrowReader.read(VectorizedArrowReader.java:150)
at
org.apache.iceberg.spark.data.vectorized.ColumnarBatchReader$ColumnBatchLoader.readDataToColumnVectors(ColumnarBatchReader.java:123)
at
org.apache.iceberg.spark.data.vectorized.ColumnarBatchReader$ColumnBatchLoader.loadDataToColumnBatch(ColumnarBatchReader.java:98)
at
org.apache.iceberg.spark.data.vectorized.ColumnarBatchReader.read(ColumnarBatchReader.java:72)
at
org.apache.iceberg.spark.data.vectorized.ColumnarBatchReader.read(ColumnarBatchReader.java:44)
at
org.apache.iceberg.parquet.VectorizedParquetReader$FileIterator.next(VectorizedParquetReader.java:147)
at org.apache.iceberg.spark.source.BaseReader.next(BaseReader.java:138)
at
org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:120)
at
org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:158)
at
org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.$anonfun$hasNext$1(DataSourceRDD.scala:63)
at
org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.$anonfun$hasNext$1$adapted(DataSourceRDD.scala:63)
at scala.Option.exists(Option.scala:257)
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$10.hasNext(Iterator.scala:458)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage6.columnartorow_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage6.hashAgg_doAggregateWithKeys_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage6.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:458)
at
org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:179)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:104)
```
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