2dmurali opened a new issue, #17943:
URL: https://github.com/apache/iceberg/issues/17943
### Apache Iceberg version
1.11.0 (latest release)
### Query engine
Spark
### Please describe the bug 🐞
### Description
The default Iceberg Parquet Avro writer fails when writing a
`GenericData.Record` containing a logical `Variant` value.
`Parquet.write(...).schema(schema).build()` uses
`ParquetAvro.DEFAULT_MODEL`, which registers `VariantConversion`. However, Avro
looks up conversions using the datum's exact runtime class. Values returned by
`Variant.of(...)` implement `Variant`, but their runtime class is
`VariantData`. Because `VariantConversion#getConvertedType()` returns
`Variant.class`, the conversion is not found.
Avro consequently treats the value as an `IndexedRecord`, resulting in a
`ClassCastException`.
### Reproduction
```java
Schema schema = new Schema(required(1, "v", Types.VariantType.get()));
GenericData.Record record =
new GenericData.Record(AvroSchemaUtil.convert(schema.asStruct(),
"table"));
record.put("v", Variant.of(Variants.emptyMetadata(), Variants.of(34)));
try (FileAppender<GenericData.Record> writer =
Parquet.write(Files.localOutput(file)).schema(schema).build()) {
writer.add(record);
}
```
### Actual behavior
Writing the record fails because `VariantData` cannot be cast to Avro's
`IndexedRecord`.
### Expected behavior
The registered `VariantConversion` should handle any runtime class
implementing `Variant`, allowing the value to be written successfully.
### Willingness to contribute
- [x] I can contribute a fix for this bug independently
- [x] I would be willing to contribute a fix for this bug with guidance from
the Iceberg community
- [ ] I cannot contribute a fix for this bug at this time
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