huaxingao opened a new pull request, #5079:
URL: https://github.com/apache/iceberg/pull/5079
Currently `VectorizedParquetDefinitionLevelReader` only works with
`HeapByteBuffer`. When using off heap byte buffer, it throws Exception
```
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 5.0 failed 1 times, most recent failure: Lost task 0.0 in stage 5.0 (TID
5) (192.168.1.126 executor driver): java.lang.UnsupportedOperationException
at java.base/java.nio.ByteBuffer.array(ByteBuffer.java:1049)
at
org.apache.iceberg.arrow.vectorized.parquet.VectorizedParquetDefinitionLevelReader$VarWidthReader.nextVal(VectorizedParquetDefinitionLevelReader.java:418)
at
org.apache.iceberg.arrow.vectorized.parquet.VectorizedParquetDefinitionLevelReader$BaseReader.nextBatch(VectorizedParquetDefinitionLevelReader.java:247)
at
org.apache.iceberg.arrow.vectorized.parquet.VectorizedPageIterator$VarWidthTypePageReader.nextVal(VectorizedPageIterator.java:353)
at
org.apache.iceberg.arrow.vectorized.parquet.VectorizedPageIterator$BagePageReader.nextBatch(VectorizedPageIterator.java:161)
at
org.apache.iceberg.arrow.vectorized.parquet.VectorizedColumnIterator$VarWidthTypeBatchReader.nextBatchOf(VectorizedColumnIterator.java:191)
at
org.apache.iceberg.arrow.vectorized.parquet.VectorizedColumnIterator$BatchReader.nextBatch(VectorizedColumnIterator.java:74)
at
org.apache.iceberg.arrow.vectorized.VectorizedArrowReader.read(VectorizedArrowReader.java:151)
at
org.apache.iceberg.spark.data.vectorized.ColumnarBatchReader$ColumnBatchLoader.readDataToColumnVectors(ColumnarBatchReader.java:101)
at
org.apache.iceberg.spark.data.vectorized.ColumnarBatchReader$ColumnBatchLoader.loadDataToColumnBatch(ColumnarBatchReader.java:86)
at
org.apache.iceberg.spark.data.vectorized.ColumnarBatchReader$ColumnBatchLoader.<init>(ColumnarBatchReader.java:81)
at
org.apache.iceberg.spark.data.vectorized.ColumnarBatchReader.read(ColumnarBatchReader.java:69)
at
org.apache.iceberg.spark.data.vectorized.ColumnarBatchReader.read(ColumnarBatchReader.java:44)
at
org.apache.iceberg.parquet.VectorizedParquetReader$FileIterator.next(VectorizedParquetReader.java:134)
at
org.apache.iceberg.spark.source.BaseDataReader.next(BaseDataReader.java:102)
at
org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:93)
at
org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:130)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.foreach(WholeStageCodegenExec.scala:757)
at org.apache.spark.rdd.RDD.$anonfun$foreach$2(RDD.scala:1012)
at org.apache.spark.rdd.RDD.$anonfun$foreach$2$adapted(RDD.scala:1012)
at
org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2257)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1467)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:829)
```
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