yebukong created ORC-1528:
-----------------------------

             Summary: When using the orc.min.disk.seek.size configuration to 
read extremely large ORC files, a java.nio.BufferOverflowException may occur.
                 Key: ORC-1528
                 URL: https://issues.apache.org/jira/browse/ORC-1528
             Project: ORC
          Issue Type: Bug
          Components: Java
    Affects Versions: 1.8.0
            Reporter: yebukong


We have enabled the Read Optimization feature provided in 
[ORC-1138|https://issues.apache.org/jira/browse/ORC-1138] for Spark program, 
and configured it as follows: 
{code:java}
spark.hadoop.orc.min.disk.seek.size=134217728
spark.hadoop.orc.min.disk.seek.size.tolerance=100
{code}
When reading an extremely large ORC file (17.3GB), the program encountered an 
java.nio.BufferOverflowException. After adding some additional log information, 
we obtained the following stack trace:
{code:java}
23/11/23 18:59:09 INFO Executor: Finished task 91.0 in stage 0.0 (TID 83). 2866 
bytes result sent to driver
23/11/23 18:59:09 INFO RecordReaderUtils: readBytes = 26099343, reqBytes = 25728
23/11/23 18:59:09 INFO RecordReaderUtils: copyLength = 77960
23/11/23 18:59:09 INFO RecordReaderUtils: newBuffer.remaining() = 8470
23/11/23 18:59:09 INFO RecordReaderUtils: BufferChunk begin: 
23/11/23 18:59:09 INFO RecordReaderUtils: data range [15032282586, 
15032298848), size: 16262 type: array-backed
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15032298848, cf = 
2147483647, ef = 15032298848
23/11/23 18:59:09 INFO RecordReaderUtils: data range [15032298848, 
15032299844), size: 996 type: array-backed
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15032299844, cf = 
2147483647, ef = 15032299844
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15032299844, 15032377804)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15032377804, cf = 
2147483647, ef = 15032377804
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058260587, 15058261632)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058261632, cf = 
15058260587, ef = 15058261632
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058261632, 15058288409)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058288409, cf = 
15058260587, ef = 15058288409
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058288409, 15058288862)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058288862, cf = 
15058260587, ef = 15058288862
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058339730, 15058340775)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058340775, cf = 
15058339730, ef = 15058340775
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058340775, 15058342439)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058342439, cf = 
15058339730, ef = 15058342439
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058449794, 15058449982)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058449982, cf = 
15058449794, ef = 15058449982
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058449982, 15058451700)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058451700, cf = 
15058449794, ef = 15058451700
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058451700, 15058451749)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058451749, cf = 
15058449794, ef = 15058451749
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058484358, 15058484422)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058484422, cf = 
15058484358, ef = 15058484422
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058484422, 15058484862)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058484862, cf = 
15058484358, ef = 15058484862
23/11/23 18:59:09 INFO RecordReaderUtils: data range[15058484862, 15058484878)
23/11/23 18:59:09 INFO RecordReaderUtils: f = 2147483647, e = 15058484878, cf = 
15058484358, ef = 15058484878
23/11/23 18:59:09 INFO RecordReaderUtils: BufferChunk end. reqBytes2 = 25728
23/11/23 18:59:09 ERROR Executor: Exception in task 111.0 in stage 0.0 (TID 84)
java.nio.BufferOverflowException
        at java.nio.HeapByteBuffer.put(HeapByteBuffer.java:189)
        at 
org.apache.orc.impl.RecordReaderUtils$ChunkReader.populateChunksReduceSize(RecordReaderUtils.java:725)
        at 
org.apache.orc.impl.RecordReaderUtils$ChunkReader.populateChunks(RecordReaderUtils.java:677)
        at 
org.apache.orc.impl.RecordReaderUtils$ChunkReader.readRanges(RecordReaderUtils.java:801)
        at 
org.apache.orc.impl.RecordReaderUtils.readDiskRanges(RecordReaderUtils.java:539)
        at 
org.apache.orc.impl.RecordReaderUtils.access$100(RecordReaderUtils.java:45)
        at 
org.apache.orc.impl.RecordReaderUtils$DefaultDataReader.readFileData(RecordReaderUtils.java:109)
        at 
org.apache.orc.impl.reader.StripePlanner.readData(StripePlanner.java:181)
        at 
org.apache.orc.impl.RecordReaderImpl.readStripe(RecordReaderImpl.java:1257)
        at 
org.apache.orc.impl.RecordReaderImpl.advanceStripe(RecordReaderImpl.java:1298)
        at 
org.apache.orc.impl.RecordReaderImpl.advanceToNextRow(RecordReaderImpl.java:1341)
        at 
org.apache.orc.impl.RecordReaderImpl.nextBatch(RecordReaderImpl.java:1388)
        at 
org.apache.spark.sql.execution.datasources.orc.OrcColumnarBatchReader.nextBatch(OrcColumnarBatchReader.java:205)
        at 
org.apache.spark.sql.execution.datasources.orc.OrcColumnarBatchReader.nextKeyValue(OrcColumnarBatchReader.java:99)
        at 
org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:116)
        at 
org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:561)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$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.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
        at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
        at 
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:140)
        at 
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
        at org.apache.spark.scheduler.Task.run(Task.scala:136)
        at 
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
23/11/23 18:59:11 INFO YarnCoarseGrainedExecutorBackend: Driver commanded a 
shutdown
23/11/23 18:59:11 INFO MemoryStore: MemoryStore cleared
23/11/23 18:59:11 INFO BlockManager: BlockManager stopped
23/11/23 18:59:11 INFO ShutdownHookManager: Shutdown hook called {code}
After identifying the issue, we discovered that in the 
{{org.apache.orc.impl.RecordReaderUtils.ChunkReader#create}} method, if the 
{{BufferChunk}} offset value exceeds {{{}Integer.MAX_VALUE{}}}, the ChunkReader 
is assigned incorrect values for {{reqBytes}} and {{{}readBytes{}}}. This 
results in a {{BufferOverflowException}} during the subsequent {{readStripe}} 
operation in ChunkReader.

{{}}



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