apache / apache/parquet-java

Parquet file in invalid state while writing to S3 from EMR

Aperta
#1,971 9 commenti 0 reazioni 0 assegnatari Vedi su GitHub
Component: Parquet Priority: Blocker Type: bug
Lingua principale
Java
Stelle
3.1k
Fork
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Merge medio
3g 12h
PR unite (30g)
33

Descrizione

I'm writing parquet to S3 from Spark 1.6.1 on EMR. And when it got to the last few files to write to S3, I received this stacktrace in the log with no other errors before or after it. It's very consistent. This particular batch keeps erroring the same way.

```
2016-06-10 01:46:05,282] WARN org.apache.spark.scheduler.TaskSetManager [task-result-getter-2hread] - Lost task 3737.0 in stage 2.0 (TID 10585, ip-172-16-96-32.ec2.internal): org.apache.spark.SparkException: Task failed while writing rows.
at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:414)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: The file being written is in an invalid state. Probably caused by an error thrown previously. Current state: COLUMN
at org.apache.parquet.hadoop.ParquetFileWriter$STATE.error(ParquetFileWriter.java:146)
at org.apache.parquet.hadoop.ParquetFileWriter$STATE.startBlock(ParquetFileWriter.java:138)
at org.apache.parquet.hadoop.ParquetFileWriter.startBlock(ParquetFileWriter.java:195)
at org.apache.parquet.hadoop.InternalParquetRecordWriter.flushRowGroupToStore(InternalParquetRecordWriter.java:153)
at org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:113)
at org.apache.parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:112)
at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.close(ParquetRelation.scala:101)
at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:405)
... 8 more
```

**Reporter**: [Peter Halliday](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=hoangelos)

**Note**: *This issue was originally created as [PARQUET-632](https://issues.apache.org/jira/browse/PARQUET-632). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*

Guida per i contributori

Nessuna guida per i contributori indicizzata per questo repository

Direzione di ricerca

Inizia dai percorsi di ParquetFileWriter.java, InternalParquetRecordWriter.java e WriterContainer.scala di Spark indicati nello stack trace. Riproduci la scrittura di file Parquet su S3 da parte di Spark 1.6.1-on-EMR e traccia il fallimento precedente che lascia il writer nello stato COLUMN; il lavoro è completo quando sono state identificate una causa riproducibile e una correzione verificata oppure una diagnosi precisa.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
aws, java
Ambito
cloud, data-engineering
Tipo di issue
Bug
Difficoltà
4/5
Tempo stimato
3-5 giorni
Stato di attività
Ferma
Chiarezza
Da chiarire
Idoneità per principianti
30/100

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