apache / apache/parquet-java

Required field 'num_values' was not found in serialized data!

Abierto
#3,084 2 comentarios 0 reacciones 0 asignados Ver en GitHub
Type: bug
Lenguaje dominante
Java
Estrellas
3.1k
Forks
1.6k
Merge medio
3 d 12 h
PR fusionados (30 d)
33

Descripción

### Describe the bug, including details regarding any error messages, version, and platform.

When using iceberg, we encountered a situation where a parquet file we wrote could not be read. When reading, the following error message appeared. Judging from the exception information, it is speculated that the parquet file is damaged or has not been written properly and cannot be parsed. We have also tried a variety of parsing tools but cannot parse it normally. However, the footer of the file is normal and the schema information of the file can be obtained, but the read data cannot be parsed the DataPageHeader. parquet version is 1.13.1. Is there any tool that can restore damaged files?
```
org.apache.iceberg.exceptions.RuntimeIOException: java.io.IOException: can not read class org.apache.iceberg.shaded.org.apache.parquet.format.PageHeader: Required field 'num_values' was not found in serialized data! Struct: org.apache.iceberg.shaded.org.apache.parquet.format.DataPageHeader$DataPageHeaderStandardScheme@57eb7595
at org.apache.iceberg.parquet.VectorizedParquetReader$FileIterator.advance(VectorizedParquetReader.java:165)
at org.apache.iceberg.parquet.VectorizedParquetReader$FileIterator.next(VectorizedParquetReader.java:141)
at org.apache.iceberg.spark.source.BaseReader.next(BaseReader.java:130)
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$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage5.columnartorow_nextBatch_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage5.agg_doAggregateWithKeys_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage5.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:140)
at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1501)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Caused by: java.io.IOException: can not read class org.apache.iceberg.shaded.org.apache.parquet.format.PageHeader: Required field 'num_values' was not found in serialized data! Struct: org.apache.iceberg.shaded.org.apache.parquet.format.DataPageHeader$DataPageHeaderStandardScheme@57eb7595
at org.apache.iceberg.shaded.org.apache.parquet.format.Util.read(Util.java:366)
at org.apache.iceberg.shaded.org.apache.parquet.format.Util.readPageHeader(Util.java:133)
at org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader$Chunk.readPageHeader(ParquetFileReader.java:1458)
at org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader$Chunk.readAllPages(ParquetFileReader.java:1505)
at org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader$Chunk.readAllPages(ParquetFileReader.java:1478)
at org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader.readChunkPages(ParquetFileReader.java:1088)
at org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader.internalReadRowGroup(ParquetFileReader.java:956)
at org.apache.iceberg.shaded.org.apache.parquet.hadoop.ParquetFileReader.readNextRowGroup(ParquetFileReader.java:909)
at org.apache.iceberg.parquet.VectorizedParquetReader$FileIterator.advance(VectorizedParquetReader.java:163)
... 23 more
Caused by: org.apache.iceberg.shaded.org.apache.parquet.shaded.org.apache.thrift.protocol.TProtocolException: Required field 'num_values' was not found in serialized data! Struct: org.apache.iceberg.shaded.org.apache.parquet.format.DataPageHeader$DataPageHeaderStandardScheme@57eb7595
at org.apache.iceberg.shaded.org.apache.parquet.format.DataPageHeader$DataPageHeaderStandardScheme.read(DataPageHeader.java:781)
at org.apache.iceberg.shaded.org.apache.parquet.format.DataPageHeader$DataPageHeaderStandardScheme.read(DataPageHeader.java:719)
at org.apache.iceberg.shaded.org.apache.parquet.format.DataPageHeader.read(DataPageHeader.java:624)
at org.apache.iceberg.shaded.org.apache.parquet.format.PageHeader$PageHeaderStandardScheme.read(PageHeader.java:1072)
at org.apache.iceberg.shaded.org.apache.parquet.format.PageHeader$PageHeaderStandardScheme.read(PageHeader.java:1025)
at org.apache.iceberg.shaded.org.apache.parquet.format.PageHeader.read(PageHeader.java:902)
at org.apache.iceberg.shaded.org.apache.parquet.format.Util.read(Util.java:363)
... 31 more
```

### Component(s)

Thrift

Guía de contribución

No hay ninguna guía de contribución indexada para este repositorio

Línea de trabajo

Comienza con el stack trace informado, especialmente con VectorizedParquetReader.java, ParquetFileReader y la ruta de análisis de Thrift DataPageHeader. Reproduce el fallo con el archivo Parquet afectado, si está disponible, y determina después si el lector o los datos serializados son la causa; se considera terminado cuando haya un diagnóstico confirmado y una prueba de regresión enfocada o una explicación documentada.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
java
Área
data-engineering
Tipo de issue
Error
Dificultad
5/5
Tiempo estimado
Más de una semana
Estado de actividad
Estancado
Claridad
Necesita aclaración
Aptitud para principiantes
20/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.