Reading Avro files supports other types

### Is your feature request related to a problem or challenge?

I am now integrating [incubator-paimon](https://github.com/apache/incubator-paimon)(it is a streaming data lake platform), when reading the avro file, an exception message will appear: **expected avro schema to be a record**, because `AvroArrowArrayReader` only supports `AvroSchema::Record`, but the avro file format of paimon is Union type（[code here](https://github.com/apache/incubator-paimon/blob/d2ddaa9bfb865a93b12c7a0294cf936071bbc08b/paimon-format/src/main/java/org/apache/paimon/format/avro/AvroSchemaConverter.java#L224)）

### Describe the solution you'd like

It would be better if the parsing format could be implemented by the user. The default implementation is still the current way, no problem.

### Describe alternatives you've considered

My current solution: [here](https://github.com/Asura7969/arrow-datafusion/blob/8e3b23561baded77c1604a936dea1f40d30ebd66/datafusion/core/src/datasource/avro_to_arrow/arrow_array_reader.rs#L84) and [this](https://github.com/Asura7969/arrow-datafusion/blob/8e3b23561baded77c1604a936dea1f40d30ebd66/datafusion/core/src/datasource/avro_to_arrow/arrow_array_reader.rs#L110)

### Additional context

_No response_

Inizia con AvroArrowArrayReader e gli esempi collegati di arrow_array_reader.rs per comprendere il percorso attuale basato solo su Record e l’approccio di parsing proposto fornito dall’utente. Definisci un punto di estensione che preservi il comportamento predefinito attuale consentendo al contempo input Union Avro come quelli di Paimon, quindi verifica sia il comportamento del reader esistente sia il nuovo percorso.

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