Fix Name-mapping issue in fd-update-datascan

pyiceberg/io/pyarrow.py

@@ -1091,7 +1091,7 @@ def project_table(
             deletes_per_file.get(task.file.file_path),
             case_sensitive,
             limit,
-            None,
+            table_metadata.name_mapping(),
         )
         for task in tasks
     ]

pyiceberg/table/__init__.py

@@ -103,7 +103,6 @@
 )
 from pyiceberg.table.name_mapping import (
     NameMapping,
-    parse_mapping_from_json,
     update_mapping,
 )
 from pyiceberg.table.refs import MAIN_BRANCH, SnapshotRef
@@ -1307,10 +1306,7 @@ def update_schema(self, allow_incompatible_changes: bool = False, case_sensitive
 
     def name_mapping(self) -> Optional[NameMapping]:
         """Return the table's field-id NameMapping."""
-        if name_mapping_json := self.properties.get(TableProperties.DEFAULT_NAME_MAPPING):
-            return parse_mapping_from_json(name_mapping_json)
-        else:
-            return None
+        return self.metadata.name_mapping()
 
     def append(self, df: pa.Table, snapshot_properties: Dict[str, str] = EMPTY_DICT) -> None:
         """

pyiceberg/table/metadata.py

@@ -35,6 +35,7 @@
 from pyiceberg.exceptions import ValidationError
 from pyiceberg.partitioning import PARTITION_FIELD_ID_START, PartitionSpec, assign_fresh_partition_spec_ids
 from pyiceberg.schema import Schema, assign_fresh_schema_ids
+from pyiceberg.table.name_mapping import NameMapping, parse_mapping_from_json
 from pyiceberg.table.refs import MAIN_BRANCH, SnapshotRef, SnapshotRefType
 from pyiceberg.table.snapshots import MetadataLogEntry, Snapshot, SnapshotLogEntry
 from pyiceberg.table.sorting import (
@@ -237,6 +238,13 @@ def schema(self) -> Schema:
         """Return the schema for this table."""
         return next(schema for schema in self.schemas if schema.schema_id == self.current_schema_id)
 
+    def name_mapping(self) -> Optional[NameMapping]:
+        """Return the table's field-id NameMapping."""
+        if name_mapping_json := self.properties.get("schema.name-mapping.default"):
+            return parse_mapping_from_json(name_mapping_json)
+        else:
+            return None
+
     def spec(self) -> PartitionSpec:
         """Return the partition spec of this table."""
         return next(spec for spec in self.partition_specs if spec.spec_id == self.default_spec_id)

tests/integration/test_add_files.py

@@ -158,6 +158,9 @@ def test_add_files_to_unpartitioned_table(spark: SparkSession, session_catalog:
     for col in df.columns:
         assert df.filter(df[col].isNotNull()).count() == 5, "Expected all 5 rows to be non-null"
 
+    # check that the table can be read by pyiceberg
+    assert len(tbl.scan().to_arrow()) == 5, "Expected 5 rows"
+
 
 @pytest.mark.integration
 @pytest.mark.parametrize("format_version", [1, 2])
@@ -255,6 +258,9 @@ def test_add_files_to_unpartitioned_table_with_schema_updates(
         value_count = 1 if col == "quux" else 6
         assert df.filter(df[col].isNotNull()).count() == value_count, f"Expected {value_count} rows to be non-null"
 
+    # check that the table can be read by pyiceberg
+    assert len(tbl.scan().to_arrow()) == 6, "Expected 6 rows"
+
 
 @pytest.mark.integration
 @pytest.mark.parametrize("format_version", [1, 2])
@@ -324,6 +330,9 @@ def test_add_files_to_partitioned_table(spark: SparkSession, session_catalog: Ca
     assert [row.file_count for row in partition_rows] == [5]
     assert [(row.partition.baz, row.partition.qux_month) for row in partition_rows] == [(123, 650)]
 
+    # check that the table can be read by pyiceberg
+    assert len(tbl.scan().to_arrow()) == 5, "Expected 5 rows"
+
 
 @pytest.mark.integration
 @pytest.mark.parametrize("format_version", [1, 2])