For array type, inconsistent names are used as the array element name.

When creating a convert for an array, Parquet Avro uses "array" as the field name name ([see here](https://github.com/apache/incubator-parquet-mr/blob/parquet-1.6.0rc7/parquet-avro/src/main/java/parquet/avro/AvroSchemaConverter.java#L131)) , but Parquet Hive SerDe uses "array_element" as the field name [see here](https://github.com/apache/incubator-parquet-mr/blob/parquet-1.6.0rc7/parquet-hive/parquet-hive-storage-handler/src/main/java/org/apache/hadoop/hive/ql/io/parquet/convert/HiveSchemaConverter.java#L109). In Spark SQL, our native Parquet support is following Parquet Avro's convention, for data generated by Parquet Hive SerDe, the array value cannot be correctly read and null will be returned.

**Reporter**: [Yin Huai](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=yhuai)
#### Related issues:
- [Arrays and Maps stored with Hive Parquet Serde may not be able to read by the Parquet support in the Data Souce API](https://issues.apache.org/jira/browse/SPARK-5508) (is related to)

_{**Note**: *This issue was originally created as [PARQUET-221](https://issues.apache.org/jira/browse/PARQUET-221). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

Confronta la denominazione degli elementi degli array in AvroSchemaConverter.java di parquet-avro e HiveSchemaConverter.java di parquet-hive, come collegati nell'issue. Riproduci la lettura dei dati degli array Hive Parquet tramite il supporto nativo di Parquet di Spark SQL, quindi verifica che gli array non restituiscano più null, preservando al contempo la compatibilità con i file esistenti.

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