maxdebayser commented on code in PR #7831:
URL: https://github.com/apache/iceberg/pull/7831#discussion_r1286046035


##########
python/tests/io/test_pyarrow.py:
##########
@@ -1345,3 +1374,655 @@ def test_pyarrow_wrap_fsspec(example_task: 
FileScanTask, table_schema_simple: Sc
 bar: [[1,2,3]]
 baz: [[true,false,null]]"""
     )
+
+
+def construct_test_table() -> Tuple[Any, Any, Union[TableMetadataV1, 
TableMetadataV2]]:
+    table_metadata = {
+        "format-version": 2,
+        "location": "s3://bucket/test/location",
+        "last-column-id": 7,
+        "current-schema-id": 0,
+        "schemas": [
+            {
+                "type": "struct",
+                "schema-id": 0,
+                "fields": [
+                    {"id": 1, "name": "strings", "required": False, "type": 
"string"},
+                    {"id": 2, "name": "floats", "required": False, "type": 
"float"},
+                    {
+                        "id": 3,
+                        "name": "list",
+                        "required": False,
+                        "type": {"type": "list", "element-id": 5, "element": 
"long", "element-required": False},
+                    },
+                    {
+                        "id": 4,
+                        "name": "maps",
+                        "required": False,
+                        "type": {
+                            "type": "map",
+                            "key-id": 6,
+                            "key": "long",
+                            "value-id": 7,
+                            "value": "long",
+                            "value-required": False,
+                        },
+                    },
+                ],
+            },
+        ],
+        "default-spec-id": 0,
+        "partition-specs": [{"spec-id": 0, "fields": []}],
+        "properties": {},
+    }
+
+    table_metadata = TableMetadataUtil.parse_obj(table_metadata)
+    arrow_schema = schema_to_pyarrow(table_metadata.schemas[0])
+
+    _strings = ["zzzzzzzzzzzzzzzzzzzz", "rrrrrrrrrrrrrrrrrrrr", None, 
"aaaaaaaaaaaaaaaaaaaa"]
+
+    _floats = [3.14, math.nan, 1.69, 100]
+
+    _list = [[1, 2, 3], [4, 5, 6], None, [7, 8, 9]]
+
+    _maps: List[Optional[Dict[int, int]]] = [
+        {1: 2, 3: 4},
+        None,
+        {5: 6},
+        {},
+    ]
+
+    table = pa.Table.from_pydict(
+        {
+            "strings": _strings,
+            "floats": _floats,
+            "list": _list,
+            "maps": _maps,
+        },
+        schema=arrow_schema,
+    )
+    metadata_collector: List[Any] = []
+
+    with pa.BufferOutputStream() as f:
+        with pq.ParquetWriter(f, table.schema, 
metadata_collector=metadata_collector) as writer:
+            writer.write_table(table)
+
+        return f.getvalue(), metadata_collector[0], table_metadata
+
+
+def test_record_count() -> None:
+    (file_bytes, metadata, table_metadata) = construct_test_table()
+
+    datafile = DataFile()
+    fill_parquet_file_metadata(datafile, metadata, len(file_bytes), 
table_metadata)
+
+    assert datafile.record_count == 4
+
+
+def test_file_size() -> None:
+    (file_bytes, metadata, table_metadata) = construct_test_table()
+
+    datafile = DataFile()
+    fill_parquet_file_metadata(datafile, metadata, len(file_bytes), 
table_metadata)
+
+    assert datafile.file_size_in_bytes == len(file_bytes)
+
+
+def test_value_counts() -> None:
+    (file_bytes, metadata, table_metadata) = construct_test_table()
+
+    datafile = DataFile()
+    fill_parquet_file_metadata(datafile, metadata, len(file_bytes), 
table_metadata)
+
+    assert len(datafile.value_counts) == 5
+    assert datafile.value_counts[1] == 4
+    assert datafile.value_counts[2] == 4
+    assert datafile.value_counts[5] == 10  # 3 lists with 3 items and a None 
value
+    assert datafile.value_counts[6] == 5
+    assert datafile.value_counts[7] == 5
+
+
+def test_column_sizes() -> None:
+    (file_bytes, metadata, table_metadata) = construct_test_table()
+
+    datafile = DataFile()
+    fill_parquet_file_metadata(datafile, metadata, len(file_bytes), 
table_metadata)
+
+    assert len(datafile.column_sizes) == 5
+    # these values are an artifact of how the write_table encodes the columns

Review Comment:
   Yes, that's better.



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