SNOW-1649780: Bug fix Series.sort_values fails when name overlaps with index name

CHANGELOG.md

@@ -20,6 +20,7 @@
 - Fixed a bug where an `Index` object created from a `Series`/`DataFrame` incorrectly updates the `Series`/`DataFrame`'s index name after an inplace update has been applied to the original `Series`/`DataFrame`.
 - Suppressed an unhelpful `SettingWithCopyWarning` that sometimes appeared when printing `Timedelta` columns.
 - Fixed `inplace` argument for `Series` objects derived from other `Series` objects.
+- Fixed a bug where `Series.sort_values` failed if series name overlapped with index column name.
 
 ## 1.22.1 (2024-09-11)
 This is a re-release of 1.22.0. Please refer to the 1.22.0 release notes for detailed release content.

src/snowflake/snowpark/modin/plugin/compiler/snowflake_query_compiler.py

@@ -3255,6 +3255,7 @@ def sort_rows_by_column_values(
         ignore_index: bool,
         key: Optional[IndexKeyFunc] = None,
         include_indexer: bool = False,
+        include_index: bool = True,
     ) -> "SnowflakeQueryCompiler":
         """
         Reorder the rows based on the lexicographic order of the given columns.
@@ -3270,6 +3271,7 @@ def sort_rows_by_column_values(
             key: Apply the key function to the values before sorting.
             include_indexer: If True, add a data column with the original row numbers in the same order as
                 the index, i.e., add an indexer column. This is used with Index.sort_values.
+            include_index: If True, include index columns in the sort.
 
         Returns:
             A new SnowflakeQueryCompiler instance after applying the sort.
@@ -3297,7 +3299,7 @@ def sort_rows_by_column_values(
 
         matched_identifiers = (
             self._modin_frame.get_snowflake_quoted_identifiers_group_by_pandas_labels(
-                columns
+                columns, include_index
             )
         )
 

src/snowflake/snowpark/modin/plugin/extensions/series_overrides.py

@@ -9,7 +9,7 @@
 
 from __future__ import annotations
 
-from typing import IO, Any, Callable, Hashable, Literal, Mapping, Sequence
+from typing import IO, Any, Callable, Hashable, Literal, Mapping, Sequence, get_args
 
 import modin.pandas as pd
 import numpy as np
@@ -27,6 +27,7 @@
     IndexKeyFunc,
     IndexLabel,
     Level,
+    NaPosition,
     Renamer,
     Scalar,
 )
@@ -37,7 +38,7 @@
 )
 from pandas.core.common import apply_if_callable, is_bool_indexer
 from pandas.core.dtypes.common import is_bool_dtype, is_dict_like, is_list_like
-from pandas.util._validators import validate_bool_kwarg
+from pandas.util._validators import validate_ascending, validate_bool_kwarg
 
 from snowflake.snowpark.modin import pandas as spd  # noqa: F401
 from snowflake.snowpark.modin.pandas.api.extensions import register_series_accessor
@@ -1538,33 +1539,33 @@ def sort_values(
     Sort by the values.
     """
     # TODO: SNOW-1063347: Modin upgrade - modin.pandas.Series functions
-    from modin.pandas.dataframe import DataFrame
 
     if is_list_like(ascending) and len(ascending) != 1:
         raise ValueError(f"Length of ascending ({len(ascending)}) must be 1 for Series")
 
     if axis is not None:
         # Validate `axis`
         self._get_axis_number(axis)
-
-    # When we convert to a DataFrame, the name is automatically converted to 0 if it
-    # is None, so we do this to avoid a KeyError.
-    by = self.name if self.name is not None else 0
-    result = (
-        DataFrame(self.copy())
-        .sort_values(
-            by=by,
-            ascending=ascending,
-            inplace=False,
-            kind=kind,
-            na_position=na_position,
-            ignore_index=ignore_index,
-            key=key,
-        )
-        .squeeze(axis=1)
+    # Validate inplace, ascending and na_position.
+    inplace = validate_bool_kwarg(inplace, "inplace")
+    ascending = validate_ascending(ascending)
+    if na_position not in get_args(NaPosition):
+        # Same error message as native pandas for invalid 'na_position' value.
+        raise ValueError(f"invalid na_position: {na_position}")
+
+    # Convert 'ascending' to sequence if needed.
+    if not isinstance(ascending, Sequence):
+        ascending = [ascending]
+    result = self._query_compiler.sort_rows_by_column_values(
+        self._query_compiler.columns,
+        ascending,
+        kind,
+        na_position,
+        ignore_index,
+        key,
+        include_index=False,
     )
-    result.name = self.name
-    return self._create_or_update_from_compiler(result._query_compiler, inplace=inplace)
+    return self._create_or_update_from_compiler(result, inplace=inplace)
 
 
 # Upstream Modin defaults at the frontend layer.

tests/integ/modin/series/test_sort_values.py

@@ -178,3 +178,13 @@ def test_sort_values_repeat(snow_series):
         snow_series.to_pandas(),
         lambda s: s.sort_values().sort_values(ascending=False),
     )
+
+
+@sql_count_checker(query_count=1)
+def test_sort_values_shared_name_with_index():
+    # Bug fix: SNOW-1649780
+    native_series = native_pd.Series(
+        [1, 3, 2], name="X", index=native_pd.Index([2, 1, 3], name="X")
+    )
+    snow_series = pd.Series(native_series)
+    eval_snowpark_pandas_result(snow_series, native_series, lambda s: s.sort_values())