Omega359 commented on issue #8863:
URL: https://github.com/apache/iceberg/issues/8863#issuecomment-1778246891
I've just encountered this exception as well but the circumstances are
somewhat different. One process is writing out an iceberg table primarily via
appends with the occasional delete. Upon completion a new cluster is spun up
that reads that table. This issue presented itself during that process:
```
23/10/24 22:25:51 ERROR BaseReader: Error reading file(s):
s3://vdcint-transaction-dev-txn/AR_IDw/dev/transaction_2023_10_ndleq8xl/source_alias=MC3/transaction_date_year=2016/00081-10437993-40ecbe40-af70-41a4-9fde-61bc6a6abeb2-00001.parquet
java.lang.IllegalArgumentException: requirement failed: length (-135733377)
cannot be smaller than -1
at scala.Predef$.require(Predef.scala:281)
~[scala-library-2.12.15.jar:?]
at
org.apache.spark.rdd.InputFileBlockHolder$.set(InputFileBlockHolder.scala:79)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.rdd.InputFileBlockHolder.set(InputFileBlockHolder.scala)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.iceberg.spark.source.BatchDataReader.open(BatchDataReader.java:89)
~[app.jar:?]
at
org.apache.iceberg.spark.source.BatchDataReader.open(BatchDataReader.java:41)
~[app.jar:?]
at org.apache.iceberg.spark.source.BaseReader.next(BaseReader.java:141)
~[app.jar:?]
at
org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:120)
~[spark-sql_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:158)
~[spark-sql_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.$anonfun$hasNext$1(DataSourceRDD.scala:63)
~[spark-sql_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.$anonfun$hasNext$1$adapted(DataSourceRDD.scala:63)
~[spark-sql_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at scala.Option.exists(Option.scala:376) ~[scala-library-2.12.15.jar:?]
at
org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.hasNext(DataSourceRDD.scala:63)
~[spark-sql_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
~[scala-library-2.12.15.jar:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.columnartorow_nextBatch_0$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.hashAgg_doAggregateWithoutKey_0$(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.processNext(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:35)
~[spark-sql_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.hasNext(Unknown
Source) ~[?:?]
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:959)
~[spark-sql_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
~[scala-library-2.12.15.jar:?]
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:142)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:101)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at org.apache.spark.scheduler.Task.run(Task.scala:141)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1541)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
~[spark-core_2.12-3.4.1-amzn-1.jar:3.4.1-amzn-1]
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
~[?:?]
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
~[?:?]
at java.lang.Thread.run(Thread.java:833) ~[?:?]
```
Iceberg 1.4.0, Spark 3.4.1 (EMR 6.14.0), JDK 17.
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