andygrove opened a new issue, #1681:
URL: https://github.com/apache/datafusion-comet/issues/1681
### Describe the bug
The following test currently fails:
```scala
test("nested data - array of struct") {
val data = (1 to 10).map(i => Tuple1(Seq(i -> s"val_$i")))
withParquetTable(data, "t") {
withSQLConf(CometConf.COMET_NATIVE_SCAN_IMPL.key ->
CometConf.SCAN_NATIVE_ICEBERG_COMPAT) {
checkSparkAnswerAndOperator(sql("SELECT _1[0]._2 FROM t"))
}
}
}
```
The parquet file contains an array of struct, where the struct has fields
`_1` and `_2`.
The required schema in the scan filters out the `_1` from the struct:
```
required_schema = Field { name: "_1", data_type: List(Field { name: "item",
data_type: Struct([Field { name: "_2", data_type: Utf8, nullable: true,
dict_id: 0, dict_is_ordered: false, metadata: {} }]), nullable: true, dict_id:
0, dict_is_ordered: false, metadata: {} }), nullable: true, dict_id: 0,
dict_is_ordered: false, metadata: {} }
```
The projection contains `GetStructField` with ordinal `0` to represent field
`_2` in the struct.
Comet does not apply the required schema and therefore selects both `_1` and
`_2` from the struct, and the `GetStructField` with `ordinal=0` returns `_1`
instead of `_2`.
### Steps to reproduce
_No response_
### Expected behavior
_No response_
### Additional context
_No response_
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