Unable to read deeply nested records from Parquet file with Avro interface.

I am attempting to read Parquet data, whose schema contains a record nested in a wrapper record, which is also nested in an array. E.g:
```java

{
"type": "record",
"name": "record",
"fields": [
{
"name": "elements",
"type": {
"type": "array",
"items": {
"type": "record",
"name": "elementWrapper",
"fields": [
{
"name": "array_element",
"type": {
"type": "record",
"name": "element",
"namespace": "test",
"fields": [
{
"name": "someField",
"type": "int"
}
]
}
}
]
}
}
}
]
}
```
When reading a parquet file with the above schema using the `ParquetFileReader`, I can see the file has the following schema, which appears to be correct:
```java

message record {
required group elements (LIST) {
repeated group array {
required group array_element {
required int32 someField;
}
}
}
}
```
However, when attempting to read records from this file with the Avro interface (see below), I get a `InvalidRecordException`.
```java

final ParquetReader parquetReader = AvroParquetReader.builder(path).build();
final GenericRecord read = parquetReader.read();
```
Stepping through the code, it looks like when the record is converted to Avro, the field "someField" isn't in scope. Only fields at the top level of the schema are in scope.

Is it expected that Avro Parquet does not support this schema? Is this a bug in the AvroRecordConverter?

Thanks, Iain

Stacktrace:
```java

org.apache.parquet.io.InvalidRecordException: Parquet/Avro schema mismatch: Avro field 'someField' not found

at org.apache.parquet.avro.AvroRecordConverter.getAvroField(AvroRecordConverter.java:220)
at org.apache.parquet.avro.AvroRecordConverter.(AvroRecordConverter.java:125)
at org.apache.parquet.avro.AvroRecordConverter.newConverter(AvroRecordConverter.java:274)
at org.apache.parquet.avro.AvroRecordConverter.newConverter(AvroRecordConverter.java:227)
at org.apache.parquet.avro.AvroRecordConverter.access$100(AvroRecordConverter.java:73)
at org.apache.parquet.avro.AvroRecordConverter$AvroCollectionConverter$ElementConverter.(AvroRecordConverter.java:531)
at org.apache.parquet.avro.AvroRecordConverter$AvroCollectionConverter.(AvroRecordConverter.java:481)
at org.apache.parquet.avro.AvroRecordConverter.newConverter(AvroRecordConverter.java:284)
at org.apache.parquet.avro.AvroRecordConverter.(AvroRecordConverter.java:136)
at org.apache.parquet.avro.AvroRecordConverter.(AvroRecordConverter.java:90)
at org.apache.parquet.avro.AvroRecordMaterializer.(AvroRecordMaterializer.java:33)
at org.apache.parquet.avro.AvroReadSupport.prepareForRead(AvroReadSupport.java:132)
at org.apache.parquet.hadoop.InternalParquetRecordReader.initialize(InternalParquetRecordReader.java:175)
at org.apache.parquet.hadoop.ParquetReader.initReader(ParquetReader.java:149)
at org.apache.parquet.hadoop.ParquetReader.read(ParquetReader.java:125)
```
Below is the full code that creates a Parquet file with this schema, and then fails to read it:
```java

@Test
@SneakyThrows
public void canReadWithNestedArray() {
final Path path = new Path("test-resources/" + UUID.randomUUID());

// Construct a record that defines the final nested value we can't read
final Schema element = Schema.createRecord("element", null, "test", false);
element.setFields(Arrays.asList(new Schema.Field("someField", Schema.create(Schema.Type.INT), null, null)));

// Create a wrapper for above nested record
final Schema elementWrapper = Schema.createRecord("elementWrapper", null, null, false);
elementWrapper.setFields(Arrays.asList(new Schema.Field("array_element", element, null, null)));

// Create top level field that contains array of wrapped records
final Schema.Field topLevelArrayOfWrappers = new Schema.Field("elements", Schema.createArray(elementWrapper), null, null);

final Schema topLevelElement = Schema.createRecord("record", null, null, false);
topLevelElement.setFields(Arrays.asList(topLevelArrayOfWrappers));
final GenericRecord genericRecord = new GenericData.Record(topLevelElement);

// Create element
final GenericData.Record recordValue = new GenericData.Record(element);
recordValue.put("someField", 5);

// Create element of array, wrapper containing above element
final GenericData.Record wrapperValue = new GenericData.Record(elementWrapper);
wrapperValue.put("array_element", recordValue);

genericRecord.put(topLevelArrayOfWrappers.name(), Arrays.asList(wrapperValue));

AvroParquetWriter.Builder fileWriterBuilder = AvroParquetWriter.builder(path).withSchema(topLevelElement);
final ParquetWriter fileWriter = fileWriterBuilder.build();

fileWriter.write(genericRecord);
fileWriter.close();

final ParquetFileReader parquetFileReader = ParquetFileReader.open(new Configuration(), path);
final FileMetaData fileMetaData = parquetFileReader.getFileMetaData();
System.out.println(fileMetaData.getSchema().toString());

final ParquetReader parquetReader = AvroParquetReader.builder(path).build();
final GenericRecord read = parquetReader.read();
}
```

**Reporter**: [Bob smith](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=iainlogan)

_{**Note**: *This issue was originally created as [PARQUET-1254](https://issues.apache.org/jira/browse/PARQUET-1254). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

Reproduisez l’échec avec le test canReadWithNestedArray fourni et examinez AvroRecordConverter, en particulier getAvroField et les appels aux convertisseurs imbriqués indiqués dans la trace de la pile. Vérifiez que le schéma Parquet généré correspond aux enregistrements Avro imbriqués, puis faites en sorte que le test lise l’enregistrement sans InvalidRecordException.

Rédigé par le modèle d'indexation à partir du texte de l'issue.