WARN: PerformanceWarning for non-pyarrow fallback (pandas-dev#46732)

Author: mroeschke

doc/source/whatsnew/v1.5.0.rst

@@ -95,6 +95,7 @@ Other enhancements
 - :meth:`pd.concat` now raises when ``levels`` is given but ``keys`` is None (:issue:`46653`)
 - :meth:`pd.concat` now raises when ``levels`` contains duplicate values (:issue:`46653`)
 - Added ``numeric_only`` argument to :meth:`DataFrame.corr`, :meth:`DataFrame.corrwith`, and :meth:`DataFrame.cov` (:issue:`46560`)
+- A :class:`errors.PerformanceWarning` is now thrown when using ``string[pyarrow]`` dtype with methods that don't dispatch to ``pyarrow.compute`` methods (:issue:`42613`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_150.notable_bug_fixes:

pandas/core/arrays/arrow/_arrow_utils.py

@@ -1,13 +1,28 @@
 from __future__ import annotations
 
 import json
+import warnings
 
 import numpy as np
 import pyarrow
 
+from pandas.errors import PerformanceWarning
+from pandas.util._exceptions import find_stack_level
+
 from pandas.core.arrays.interval import VALID_CLOSED
 
 
+def fallback_performancewarning(version: str | None = None):
+    """
+    Raise a PerformanceWarning for falling back to ExtensionArray's
+    non-pyarrow method
+    """
+    msg = "Falling back on a non-pyarrow code path which may decrease performance."
+    if version is not None:
+        msg += f" Upgrade to pyarrow >={version} to possibly suppress this warning."
+    warnings.warn(msg, PerformanceWarning, stacklevel=find_stack_level())
+
+
 def pyarrow_array_to_numpy_and_mask(arr, dtype: np.dtype):
     """
     Convert a primitive pyarrow.Array to a numpy array and boolean mask based

pandas/core/arrays/string_arrow.py

@@ -60,6 +60,8 @@
     import pyarrow as pa
     import pyarrow.compute as pc
 
+    from pandas.core.arrays.arrow._arrow_utils import fallback_performancewarning
+
     ARROW_CMP_FUNCS = {
         "eq": pc.equal,
         "ne": pc.not_equal,
@@ -331,6 +333,7 @@ def _maybe_convert_setitem_value(self, value):
 
     def isin(self, values):
         if pa_version_under2p0:
+            fallback_performancewarning(version="2")
             return super().isin(values)
 
         value_set = [
@@ -437,10 +440,12 @@ def _str_map(
 
     def _str_contains(self, pat, case=True, flags=0, na=np.nan, regex: bool = True):
         if flags:
+            fallback_performancewarning()
             return super()._str_contains(pat, case, flags, na, regex)
 
         if regex:
             if pa_version_under4p0 or case is False:
+                fallback_performancewarning(version="4")
                 return super()._str_contains(pat, case, flags, na, regex)
             else:
                 result = pc.match_substring_regex(self._data, pat)
@@ -456,13 +461,15 @@ def _str_contains(self, pat, case=True, flags=0, na=np.nan, regex: bool = True):
 
     def _str_startswith(self, pat: str, na=None):
         if pa_version_under4p0:
+            fallback_performancewarning(version="4")
             return super()._str_startswith(pat, na)
 
         pat = "^" + re.escape(pat)
         return self._str_contains(pat, na=na, regex=True)
 
     def _str_endswith(self, pat: str, na=None):
         if pa_version_under4p0:
+            fallback_performancewarning(version="4")
             return super()._str_endswith(pat, na)
 
         pat = re.escape(pat) + "$"
@@ -484,6 +491,7 @@ def _str_replace(
             or not case
             or flags
         ):
+            fallback_performancewarning(version="4")
             return super()._str_replace(pat, repl, n, case, flags, regex)
 
         func = pc.replace_substring_regex if regex else pc.replace_substring
@@ -494,6 +502,7 @@ def _str_match(
         self, pat: str, case: bool = True, flags: int = 0, na: Scalar | None = None
     ):
         if pa_version_under4p0:
+            fallback_performancewarning(version="4")
             return super()._str_match(pat, case, flags, na)
 
         if not pat.startswith("^"):
@@ -504,6 +513,7 @@ def _str_fullmatch(
         self, pat, case: bool = True, flags: int = 0, na: Scalar | None = None
     ):
         if pa_version_under4p0:
+            fallback_performancewarning(version="4")
             return super()._str_fullmatch(pat, case, flags, na)
 
         if not pat.endswith("$") or pat.endswith("//$"):
@@ -536,6 +546,7 @@ def _str_isnumeric(self):
 
     def _str_isspace(self):
         if pa_version_under2p0:
+            fallback_performancewarning(version="2")
             return super()._str_isspace()
 
         result = pc.utf8_is_space(self._data)
@@ -551,6 +562,7 @@ def _str_isupper(self):
 
     def _str_len(self):
         if pa_version_under4p0:
+            fallback_performancewarning(version="4")
             return super()._str_len()
 
         result = pc.utf8_length(self._data)
@@ -564,6 +576,7 @@ def _str_upper(self):
 
     def _str_strip(self, to_strip=None):
         if pa_version_under4p0:
+            fallback_performancewarning(version="4")
             return super()._str_strip(to_strip)
 
         if to_strip is None:
@@ -574,6 +587,7 @@ def _str_strip(self, to_strip=None):
 
     def _str_lstrip(self, to_strip=None):
         if pa_version_under4p0:
+            fallback_performancewarning(version="4")
             return super()._str_lstrip(to_strip)
 
         if to_strip is None:
@@ -584,6 +598,7 @@ def _str_lstrip(self, to_strip=None):
 
     def _str_rstrip(self, to_strip=None):
         if pa_version_under4p0:
+            fallback_performancewarning(version="4")
             return super()._str_rstrip(to_strip)
 
         if to_strip is None:

pandas/tests/arrays/string_/test_string.py

@@ -2,9 +2,13 @@
 This module tests the functionality of StringArray and ArrowStringArray.
 Tests for the str accessors are in pandas/tests/strings/test_string_array.py
 """
+from contextlib import nullcontext
+
 import numpy as np
 import pytest
 
+from pandas.compat import pa_version_under2p0
+from pandas.errors import PerformanceWarning
 import pandas.util._test_decorators as td
 
 from pandas.core.dtypes.common import is_dtype_equal
@@ -14,6 +18,13 @@
 from pandas.core.arrays.string_arrow import ArrowStringArray
 
 
+def maybe_perf_warn(using_pyarrow):
+    if using_pyarrow:
+        return tm.assert_produces_warning(PerformanceWarning, match="Falling back")
+    else:
+        return nullcontext()
+
+
 @pytest.fixture
 def dtype(string_storage):
     return pd.StringDtype(storage=string_storage)
@@ -557,18 +568,22 @@ def test_to_numpy_na_value(dtype, nulls_fixture):
 def test_isin(dtype, fixed_now_ts):
     s = pd.Series(["a", "b", None], dtype=dtype)
 
-    result = s.isin(["a", "c"])
+    with maybe_perf_warn(dtype == "pyarrow" and pa_version_under2p0):
+        result = s.isin(["a", "c"])
     expected = pd.Series([True, False, False])
     tm.assert_series_equal(result, expected)
 
-    result = s.isin(["a", pd.NA])
+    with maybe_perf_warn(dtype == "pyarrow" and pa_version_under2p0):
+        result = s.isin(["a", pd.NA])
     expected = pd.Series([True, False, True])
     tm.assert_series_equal(result, expected)
 
-    result = s.isin([])
+    with maybe_perf_warn(dtype == "pyarrow" and pa_version_under2p0):
+        result = s.isin([])
     expected = pd.Series([False, False, False])
     tm.assert_series_equal(result, expected)
 
-    result = s.isin(["a", fixed_now_ts])
+    with maybe_perf_warn(dtype == "pyarrow" and pa_version_under2p0):
+        result = s.isin(["a", fixed_now_ts])
     expected = pd.Series([True, False, False])
     tm.assert_series_equal(result, expected)