RyanLin5967 opened a new issue, #4196:
URL: https://github.com/apache/iceberg-python/issues/4196
### Apache Iceberg version
0.12.0 (latest release)
### Please describe the bug 🐞
Currently, `dynamic_partition_overwrite` builds its delete filter from
`find_field(source_id).name`, which is `x` for `s.x`, so it deletes the rows
whose top-level `x` matches and keeps the old rows of the partition it
replaces. Without a top-level column of that name it raises `ValueError`.
```python
import tempfile
import pyarrow as pa
from pyiceberg.catalog.sql import SqlCatalog
from pyiceberg.partitioning import PartitionField, PartitionSpec
from pyiceberg.schema import Schema
from pyiceberg.transforms import IdentityTransform
from pyiceberg.types import LongType, NestedField, StructType
cat = SqlCatalog("c", uri="sqlite:///:memory:",
warehouse=f"file://{tempfile.mkdtemp()}")
cat.create_namespace("ns")
schema = Schema(NestedField(1, "x", LongType()), NestedField(2, "s",
StructType(NestedField(3, "x", LongType()))))
t = cat.create_table("ns.t", schema=schema,
partition_spec=PartitionSpec(PartitionField(3, 1000, IdentityTransform(),
"s_x")))
df = lambda *rs: pa.Table.from_pylist([{"x": x, "s": {"x": sx}} for x, sx in
rs], schema=schema.as_arrow())
t.append(df((1, 5), (5, 1)))
t.dynamic_partition_overwrite(df((9, 5)))
print(sorted((r["x"], r["s"]["x"]) for r in t.scan().to_arrow().to_pylist()))
# [(1, 5), (9, 5)], should be [(5, 1), (9, 5)]
# rows are (x, s.x): partition s.x = 1 lost its row and s.x = 5 kept its old
one
```
`_determine_partitions` uses `find_column_name` for the same field since
#2204.
tested on pyiceberg 0.12.0 and main
### Willingness to contribute
- [ ] I can contribute a fix for this bug independently
- [ ] 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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