xiangyuf opened a new issue, #5271: URL: https://github.com/apache/paimon/issues/5271
### Search before asking - [x] I searched in the [issues](https://github.com/apache/paimon/issues) and found nothing similar. ### Paimon version 0.8.2 ### Compute Engine spark ### Minimal reproduce step `org.apache.spark.util.TaskCompletionListenerException: java.lang.NegativeArraySizeException: -1689105028 Previous exception in task: -1689105028 org.apache.paimon.data.columnar.heap.HeapBytesVector.reserve(HeapBytesVector.java:100) org.apache.paimon.data.columnar.heap.HeapBytesVector.appendBytes(HeapBytesVector.java:77) org.apache.paimon.format.parquet.reader.BytesColumnReader.readBinary(BytesColumnReader.java:89) org.apache.paimon.format.parquet.reader.BytesColumnReader.readBatch(BytesColumnReader.java:51) org.apache.paimon.format.parquet.reader.BytesColumnReader.readBatch(BytesColumnReader.java:32) org.apache.paimon.format.parquet.reader.AbstractColumnReader.readToVector(AbstractColumnReader.java:189) org.apache.paimon.format.parquet.ParquetReaderFactory$ParquetReader.nextBatch(ParquetReaderFactory.java:318) org.apache.paimon.format.parquet.ParquetReaderFactory$ParquetReader.readBatch(ParquetReaderFactory.java:291) org.apache.paimon.io.FileRecordReader.readBatch(FileRecordReader.java:47) org.apache.paimon.spark.PaimonRecordReaderIterator.readBatch(PaimonRecordReaderIterator.scala:69) org.apache.paimon.spark.PaimonRecordReaderIterator.<init>(PaimonRecordReaderIterator.scala:34) org.apache.paimon.spark.PaimonPartitionReader.iterator$lzycompute(PaimonPartitionReader.scala:43) org.apache.paimon.spark.PaimonPartitionReader.iterator(PaimonPartitionReader.scala:41) org.apache.paimon.spark.PaimonPartitionReader.next(PaimonPartitionReader.scala:47) org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:93) org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:138) org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.processNext(Unknown Source) org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:773) scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:179) org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:61) org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) org.apache.spark.scheduler.Task.run(Task.scala:134) org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:538) org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1618) org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:541) java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) java.base/java.lang.Thread.run(Thread.java:840) at org.apache.spark.TaskContextImpl.invokeListeners(TaskContextImpl.scala:205) at org.apache.spark.TaskContextImpl.invokeTaskCompletionListeners(TaskContextImpl.scala:142) at org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:135) at org.apache.spark.scheduler.Task.run(Task.scala:144) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:538) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1618) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:541) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) at java.base/java.lang.Thread.run(Thread.java:840)` ### What doesn't meet your expectations? Spark job fail ### Anything else? _No response_ ### Are you willing to submit a PR? - [x] I'm willing to submit a PR! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
