Conflicts

tests/conftest.py

@@ -2143,31 +2143,31 @@ def arrow_table_with_null(pa_schema: "pa.Schema") -> "pa.Table":
 
     return pa.Table.from_pydict(
         {
-            'bool': [False, None, True],
-            'string': ['a', None, 'z'],
+            "bool": [False, None, True],
+            "string": ["a", None, "z"],
             # Go over the 16 bytes to kick in truncation
-            'string_long': ['a' * 22, None, 'z' * 22],
-            'int': [1, None, 9],
-            'long': [1, None, 9],
-            'float': [0.0, None, 0.9],
-            'double': [0.0, None, 0.9],
+            "string_long": ["a" * 22, None, "z" * 22],
+            "int": [1, None, 9],
+            "long": [1, None, 9],
+            "float": [0.0, None, 0.9],
+            "double": [0.0, None, 0.9],
             # 'time': [1_000_000, None, 3_000_000],  # Example times: 1s, none, and 3s past midnight #Spark does not support time fields
-            'timestamp': [datetime(2023, 1, 1, 19, 25, 00), None, datetime(2023, 3, 1, 19, 25, 00)],
-            'timestamptz': [
+            "timestamp": [datetime(2023, 1, 1, 19, 25, 00), None, datetime(2023, 3, 1, 19, 25, 00)],
+            "timestamptz": [
                 datetime(2023, 1, 1, 19, 25, 00, tzinfo=timezone.utc),
                 None,
                 datetime(2023, 3, 1, 19, 25, 00, tzinfo=timezone.utc),
             ],
-            'date': [date(2023, 1, 1), None, date(2023, 3, 1)],
+            "date": [date(2023, 1, 1), None, date(2023, 3, 1)],
             # Not supported by Spark
             # 'time': [time(1, 22, 0), None, time(19, 25, 0)],
             # Not natively supported by Arrow
             # 'uuid': [uuid.UUID('00000000-0000-0000-0000-000000000000').bytes, None, uuid.UUID('11111111-1111-1111-1111-111111111111').bytes],
-            'binary': [b'\01', None, b'\22'],
-            'fixed': [
-                uuid.UUID('00000000-0000-0000-0000-000000000000').bytes,
+            "binary": [b"\01", None, b"\22"],
+            "fixed": [
+                uuid.UUID("00000000-0000-0000-0000-000000000000").bytes,
                 None,
-                uuid.UUID('11111111-1111-1111-1111-111111111111').bytes,
+                uuid.UUID("11111111-1111-1111-1111-111111111111").bytes,
             ],
         },
         schema=pa_schema,

tests/integration/test_deletes.py

@@ -38,7 +38,7 @@ def run_spark_commands(spark: SparkSession, sqls: List[str]) -> None:
 @pytest.mark.integration
 @pytest.mark.parametrize("format_version", [1, 2])
 def test_partitioned_table_delete_full_file(spark: SparkSession, session_catalog: RestCatalog, format_version: int) -> None:
-    identifier = 'default.table_partitioned_delete'
+    identifier = "default.table_partitioned_delete"
 
     run_spark_commands(
         spark,
@@ -66,14 +66,14 @@ def test_partitioned_table_delete_full_file(spark: SparkSession, session_catalog
     tbl.delete(EqualTo("number_partitioned", 10))
 
     # No overwrite operation
-    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()] == ['append', 'append', 'delete']
-    assert tbl.scan().to_arrow().to_pydict() == {'number_partitioned': [11, 11], 'number': [20, 30]}
+    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()] == ["append", "append", "delete"]
+    assert tbl.scan().to_arrow().to_pydict() == {"number_partitioned": [11, 11], "number": [20, 30]}
 
 
 @pytest.mark.integration
 @pytest.mark.parametrize("format_version", [1, 2])
 def test_partitioned_table_rewrite(spark: SparkSession, session_catalog: RestCatalog, format_version: int) -> None:
-    identifier = 'default.table_partitioned_delete'
+    identifier = "default.table_partitioned_delete"
 
     run_spark_commands(
         spark,
@@ -101,14 +101,14 @@ def test_partitioned_table_rewrite(spark: SparkSession, session_catalog: RestCat
     tbl.delete(EqualTo("number", 20))
 
     # We don't delete a whole partition, so there is only a overwrite
-    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()] == ['append', 'append', 'overwrite']
-    assert tbl.scan().to_arrow().to_pydict() == {'number_partitioned': [11, 10], 'number': [30, 30]}
+    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()] == ["append", "append", "overwrite"]
+    assert tbl.scan().to_arrow().to_pydict() == {"number_partitioned": [11, 10], "number": [30, 30]}
 
 
 @pytest.mark.integration
 @pytest.mark.parametrize("format_version", [1, 2])
 def test_partitioned_table_no_match(spark: SparkSession, session_catalog: RestCatalog, format_version: int) -> None:
-    identifier = 'default.table_partitioned_delete'
+    identifier = "default.table_partitioned_delete"
 
     run_spark_commands(
         spark,
@@ -132,13 +132,13 @@ def test_partitioned_table_no_match(spark: SparkSession, session_catalog: RestCa
     tbl = session_catalog.load_table(identifier)
     tbl.delete(EqualTo("number_partitioned", 22))  # Does not affect any data
 
-    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()] == ['append']
-    assert tbl.scan().to_arrow().to_pydict() == {'number_partitioned': [10, 10], 'number': [20, 30]}
+    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()] == ["append"]
+    assert tbl.scan().to_arrow().to_pydict() == {"number_partitioned": [10, 10], "number": [20, 30]}
 
 
 @pytest.mark.integration
 def test_partitioned_table_positional_deletes(spark: SparkSession, session_catalog: RestCatalog) -> None:
-    identifier = 'default.table_partitioned_delete'
+    identifier = "default.table_partitioned_delete"
 
     run_spark_commands(
         spark,
@@ -180,13 +180,13 @@ def test_partitioned_table_positional_deletes(spark: SparkSession, session_catal
 
     # One positional delete has been added, but an OVERWRITE status is set
     # https://github.com/apache/iceberg/issues/10122
-    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()] == ['append', 'overwrite', 'overwrite']
-    assert tbl.scan().to_arrow().to_pydict() == {'number_partitioned': [10], 'number': [20]}
+    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()] == ["append", "overwrite", "overwrite"]
+    assert tbl.scan().to_arrow().to_pydict() == {"number_partitioned": [10], "number": [20]}
 
 
 @pytest.mark.integration
 def test_partitioned_table_positional_deletes_sequence_number(spark: SparkSession, session_catalog: RestCatalog) -> None:
-    identifier = 'default.table_partitioned_delete_sequence_number'
+    identifier = "default.table_partitioned_delete_sequence_number"
 
     # This test case is a bit more complex. Here we run a MoR delete on a file, we make sure that
     # the manifest gets rewritten (but not the data file with a MoR), and check if the delete is still there
@@ -234,40 +234,40 @@ def test_partitioned_table_positional_deletes_sequence_number(spark: SparkSessio
     assert len(snapshots) == 3
 
     # Snapshots produced by Spark
-    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()[0:2]] == ['append', 'overwrite']
+    assert [snapshot.summary.operation.value for snapshot in tbl.snapshots()[0:2]] == ["append", "overwrite"]
 
     # Will rewrite one parquet file
     assert snapshots[2].summary == Summary(
         Operation.OVERWRITE,
         **{
-            'added-files-size': '1145',
-            'added-data-files': '1',
-            'added-records': '2',
-            'changed-partition-count': '1',
-            'total-files-size': snapshots[2].summary['total-files-size'],
-            'total-delete-files': '0',
-            'total-data-files': '1',
-            'total-position-deletes': '0',
-            'total-records': '2',
-            'total-equality-deletes': '0',
-            'deleted-data-files': '2',
-            'removed-delete-files': '1',
-            'deleted-records': '5',
-            'removed-files-size': snapshots[2].summary['removed-files-size'],
-            'removed-position-deletes': '1',
+            "added-files-size": "1145",
+            "added-data-files": "1",
+            "added-records": "2",
+            "changed-partition-count": "1",
+            "total-files-size": snapshots[2].summary["total-files-size"],
+            "total-delete-files": "0",
+            "total-data-files": "1",
+            "total-position-deletes": "0",
+            "total-records": "2",
+            "total-equality-deletes": "0",
+            "deleted-data-files": "2",
+            "removed-delete-files": "1",
+            "deleted-records": "5",
+            "removed-files-size": snapshots[2].summary["removed-files-size"],
+            "removed-position-deletes": "1",
         },
     )
 
-    assert tbl.scan().to_arrow().to_pydict() == {'number_partitioned': [20, 20, 10], 'number': [200, 202, 100]}
+    assert tbl.scan().to_arrow().to_pydict() == {"number_partitioned": [20, 20, 10], "number": [200, 202, 100]}
 
 
 @pytest.mark.integration
 def test_delete_no_match(session_catalog: RestCatalog) -> None:
     arrow_schema = pa.schema([pa.field("ints", pa.int32())])
     arrow_tbl = pa.Table.from_pylist(
         [
-            {'ints': 1},
-            {'ints': 3},
+            {"ints": 1},
+            {"ints": 3},
         ],
         schema=arrow_schema,
     )
@@ -286,7 +286,7 @@ def test_delete_no_match(session_catalog: RestCatalog) -> None:
 
     assert [snapshot.summary.operation for snapshot in tbl.snapshots()] == [Operation.APPEND]
 
-    tbl.delete('ints == 2')  # Only 1 and 3 in the file, but is between the lower and upper bound
+    tbl.delete("ints == 2")  # Only 1 and 3 in the file, but is between the lower and upper bound
 
     assert [snapshot.summary.operation for snapshot in tbl.snapshots()] == [Operation.APPEND]
 
@@ -296,8 +296,8 @@ def test_delete_overwrite(session_catalog: RestCatalog) -> None:
     arrow_schema = pa.schema([pa.field("ints", pa.int32())])
     arrow_tbl = pa.Table.from_pylist(
         [
-            {'ints': 1},
-            {'ints': 2},
+            {"ints": 1},
+            {"ints": 2},
         ],
         schema=arrow_schema,
     )
@@ -318,28 +318,28 @@ def test_delete_overwrite(session_catalog: RestCatalog) -> None:
 
     arrow_tbl_overwrite = pa.Table.from_pylist(
         [
-            {'ints': 3},
-            {'ints': 4},
+            {"ints": 3},
+            {"ints": 4},
         ],
         schema=arrow_schema,
     )
-    tbl.overwrite(arrow_tbl_overwrite, 'ints == 2')  # Should rewrite one file
+    tbl.overwrite(arrow_tbl_overwrite, "ints == 2")  # Should rewrite one file
 
     assert [snapshot.summary.operation for snapshot in tbl.snapshots()] == [
         Operation.APPEND,
         Operation.OVERWRITE,
         Operation.APPEND,
     ]
 
-    assert tbl.scan().to_arrow()['ints'].to_pylist() == [3, 4, 1]
+    assert tbl.scan().to_arrow()["ints"].to_pylist() == [3, 4, 1]
 
 
 @pytest.mark.integration
 def test_delete_truncate(session_catalog: RestCatalog) -> None:
     arrow_schema = pa.schema([pa.field("ints", pa.int32())])
     arrow_tbl = pa.Table.from_pylist(
         [
-            {'ints': 1},
+            {"ints": 1},
         ],
         schema=arrow_schema,
     )

tests/integration/test_inspect_table.py

@@ -102,38 +102,38 @@ def test_inspect_snapshots(
     for snapshot_id in df["snapshot_id"]:
         assert isinstance(snapshot_id.as_py(), int)
 
-    assert df['parent_id'][0].as_py() is None
-    assert df['parent_id'][1:].to_pylist() == df['snapshot_id'][:-1].to_pylist()
+    assert df["parent_id"][0].as_py() is None
+    assert df["parent_id"][1:].to_pylist() == df["snapshot_id"][:-1].to_pylist()
 
-    assert [operation.as_py() for operation in df['operation']] == ['append', 'delete', 'append', 'append']
+    assert [operation.as_py() for operation in df["operation"]] == ["append", "delete", "append", "append"]
 
     for manifest_list in df["manifest_list"]:
         assert manifest_list.as_py().startswith("s3://")
 
     # Append
-    assert df['summary'][0].as_py() == [
-        ('added-files-size', '5459'),
-        ('added-data-files', '1'),
-        ('added-records', '3'),
-        ('total-data-files', '1'),
-        ('total-delete-files', '0'),
-        ('total-records', '3'),
-        ('total-files-size', '5459'),
-        ('total-position-deletes', '0'),
-        ('total-equality-deletes', '0'),
+    assert df["summary"][0].as_py() == [
+        ("added-files-size", "5459"),
+        ("added-data-files", "1"),
+        ("added-records", "3"),
+        ("total-data-files", "1"),
+        ("total-delete-files", "0"),
+        ("total-records", "3"),
+        ("total-files-size", "5459"),
+        ("total-position-deletes", "0"),
+        ("total-equality-deletes", "0"),
     ]
 
     # Delete
-    assert df['summary'][1].as_py() == [
-        ('removed-files-size', '5459'),
-        ('deleted-data-files', '1'),
-        ('deleted-records', '3'),
-        ('total-data-files', '0'),
-        ('total-delete-files', '0'),
-        ('total-records', '0'),
-        ('total-files-size', '0'),
-        ('total-position-deletes', '0'),
-        ('total-equality-deletes', '0'),
+    assert df["summary"][1].as_py() == [
+        ("removed-files-size", "5459"),
+        ("deleted-data-files", "1"),
+        ("deleted-records", "3"),
+        ("total-data-files", "0"),
+        ("total-delete-files", "0"),
+        ("total-records", "0"),
+        ("total-files-size", "0"),
+        ("total-position-deletes", "0"),
+        ("total-equality-deletes", "0"),
     ]
 
     lhs = spark.table(f"{identifier}.snapshots").toPandas()