Parquet File is not able to read from Spark and Hive

Issue: Caused by: java.io.IOException: Expected 35393 values in column chunk at maprfs:////path/date=20190605/caa63aa9-abfa-46e1-8221-10f6c669512d.parquet offset 4 but got 46402 values instead over 2 pages ending at file offset 341624 

we are getting Avro Serialized messages from kafka which are being consumed by Spring-kafka and converted into parquet gets persisted into MaprFS(hdfs) file system. 

i have tried replicating the issue in local with same Avro file but i was able to read parquet successfully, I am not sure why the parquet being corrupted in HDFS . 

**Reporter**: [Prashanth pampanna desai](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=Prashanth+Desai)

_{**Note**: *This issue was originally created as [PARQUET-1594](https://issues.apache.org/jira/browse/PARQUET-1594). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

Iniziare con la IOException segnalata e confrontare la lettura locale riuscita con il percorso MapRFS/HDFS utilizzato dopo che Spring-kafka consuma messaggi Avro. L'issue non menziona alcun file sorgente né alcun test, e il completamento non è definito oltre alla determinazione del motivo per cui Spark e Hive non riescono a leggere il file Parquet persistito.

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