camper42 opened a new issue, #8863:
URL: https://github.com/apache/iceberg/issues/8863
### Apache Iceberg version
1.4.0 (latest release)
### Query engine
Spark
### Please describe the bug 🐞
We have some irrationally partitioned parquet table, which have 3 level
partition and have tons of small files. It looks like
`table/log_date=2023-10-16/date=2023-10-17/attr=attr1`.
after `call spark_catalog.system.migrate("db.table")` success, spark read
failed on some of partitions that have about 1k+ parquet(zstd) files (about
30KiB per file), but we can read from `table_backup_`.
Error:
```
23/10/18 01:08:56 WARN TaskSetManager: Lost task 70.0 in stage 2.0 (TID
1029) (10.113.6.67 executor 9): java.lang.IllegalArgumentException: requirement
failed: length (-254841238) cannot be smaller than -1
at scala.Predef$.require(Predef.scala:281)
at
org.apache.spark.rdd.InputFileBlockHolder$.set(InputFileBlockHolder.scala:79)
at
org.apache.spark.rdd.InputFileBlockHolder.set(InputFileBlockHolder.scala)
at
org.apache.iceberg.spark.source.BatchDataReader.open(BatchDataReader.java:89)
at
org.apache.iceberg.spark.source.BatchDataReader.open(BatchDataReader.java:41)
at org.apache.iceberg.spark.source.BaseReader.next(BaseReader.java:141)
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:376)
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$10.hasNext(Iterator.scala:460)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.columnartorow_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.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$12.hasNext(Iterator.scala:513)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:140)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:101)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at
org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
at org.apache.spark.scheduler.Task.run(Task.scala:139)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1529)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
at
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:829)
```
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