kevinjqliu commented on code in PR #1264:
URL: https://github.com/apache/iceberg-python/pull/1264#discussion_r1821237947


##########
tests/integration/test_writes/test_writes.py:
##########
@@ -1448,3 +1448,44 @@ def 
test_rewrite_manifest_after_partition_evolution(session_catalog: Catalog) ->
             EqualTo("category", "A"),
         ),
     )
+
+
+@pytest.mark.integration
+def test_writing_null_structs(session_catalog: Catalog) -> None:
+    import pyarrow as pa
+
+    schema = pa.schema([
+        pa.field(
+            "struct_field_1",
+            pa.struct([
+                pa.field("string_nested_1", pa.string()),
+                pa.field("int_item_2", pa.int32()),
+                pa.field("float_item_2", pa.float32()),
+            ]),
+        ),
+    ])
+
+    records = [
+        {
+            "struct_field_1": {
+                "string_nested_1": "nest_1",
+                "int_item_2": 1234,
+                "float_item_2": 1.234,
+            },
+        },
+        {},
+    ]
+
+    try:
+        session_catalog.drop_table(
+            identifier="default.test_writing_null_structs",
+        )
+    except NoSuchTableError:
+        pass
+
+    table = session_catalog.create_table("default.test_writing_null_structs", 
schema)
+
+    pyarrow_table: pa.Table = pa.Table.from_pylist(records, schema=schema)
+    table.append(pyarrow_table)
+
+    assert pyarrow_table.to_pandas()["struct_field_1"].tolist() == 
table.scan().to_pandas()["struct_field_1"].tolist()

Review Comment:
   Looks like the null masking is also done by pandas.
   
   
   ```
   >>> pyarrow_table['struct_field_1']
   <pyarrow.lib.ChunkedArray object at 0x10482c6d0>
   [
     -- is_valid:
         [
         false
       ]
     -- child 0 type: string
       [
         ""
       ]
     -- child 1 type: int32
       [
         0
       ]
     -- child 2 type: float
       [
         0
       ]
   ]
   ```
   
   ```
   >>> pyarrow_table['struct_field_1'].to_pandas()
   0    None
   Name: struct_field_1, dtype: object
   ```



##########
pyiceberg/io/pyarrow.py:
##########
@@ -1807,7 +1807,11 @@ def struct(
             else:
                 raise ResolveError(f"Field is required, and could not be found 
in the file: {field}")
 
-        return pa.StructArray.from_arrays(arrays=field_arrays, 
fields=pa.struct(fields))
+        return pa.StructArray.from_arrays(
+            arrays=field_arrays,
+            fields=pa.struct(fields),
+            mask=struct_array.is_null() if isinstance(struct_array, 
pa.StructArray) else None,

Review Comment:
   Very interesting, i didnt know about this
   
   
https://arrow.apache.org/docs/python/generated/pyarrow.StructArray.html#pyarrow.StructArray.from_arrays
   
https://arrow.apache.org/docs/python/generated/pyarrow.StructArray.html#pyarrow.StructArray.is_null



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