chidachu77 opened a new issue, #2512:
URL: https://github.com/apache/iceberg-python/issues/2512
### Apache Iceberg version
None
### Please describe the bug 🐞
### Description
Any operation that rewrites data (delete/ overwrite/ upsert) is extremely
slow or unresponsive, even on very small tables. Appending rows works as
expected.
### Steps to Reproduce
```
from pyiceberg.schema import Schema
from pyiceberg.types import NestedField, StringType
import pyarrow as pa
# Create table
schema = Schema(
NestedField(field_id=1, name="load_id", field_type=StringType(),
required=True),
NestedField(field_id=2, name="status", field_type=StringType(),
required=True),
identifier_field_ids=[1],
)
catalog.create_table(identifier="test.test_load", schema=schema)
tbl = catalog.load_table("test.test_load")
df = pa.Table.from_pylist(
[
{"load_id": "123.123", "status": "started"},
{"load_id": "456.456", "status": "done"},
],
schema=tbl.schema().as_arrow(),
)
tbl.append(df)
# Delete with dot in string key → hangs indefinitely
tbl.delete(delete_filter="load_id == '123.123'")
```
### Observed Behavior
- append: completes quickly.
- delete with string containing dot (e.g., "123.123"): runs indefinitely or
takes 10+ minutes without returning a response.
- overwrite and upsert with string containing dot: same behavior — operation
never completes or is extremely slow.
### Environment
- PyIceberg version: `0.10.0`
- Catalog: `REST`
- Python version: `3.12`
- Storage: `AWS S3 tables`
### 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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