chore(deps): bump pandas from 2.1.4 to 2.3.3 (#42192)

Signed-off-by: dependabot[bot] <support@github.com> Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Amin Ghadersohi <amin.ghadersohi@gmail.com> Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> (cherry picked from commit 42a2aede78)
2026-09-04 14:31:46 +00:00 · 2026-08-11 09:27:13 -07:00
parent 948d0e5bef
commit 7798c39c67
6 changed files with 168 additions and 5 deletions
@@ -0,0 +1,67 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+import pandas as pd
+from sqlalchemy import create_engine, types
+
+from superset.utils.pandas_sqlalchemy_compat import (
+    restore_pandas_sqlalchemy_support,
+)
+
+
+def test_to_sql_accepts_sqlalchemy_engine_and_dtypes() -> None:
+    """
+    ``DataFrame.to_sql`` must accept a SQLAlchemy engine plus SQLAlchemy
+    ``dtype`` objects regardless of the installed pandas/SQLAlchemy combo.
+
+    This is the exact call shape used by dataset uploads
+    (``BaseEngineSpec.df_to_sql``), example data loading, and the test data
+    loaders; it breaks when pandas silently rejects the installed SQLAlchemy
+    as too old (pandas >= 2.2 with SQLAlchemy 1.x) and no compat shim is
+    applied.
+    """
+    restore_pandas_sqlalchemy_support()
+
+    engine = create_engine("sqlite://")
+    df = pd.DataFrame(
+        {
+            "name": ["a", "b"],
+            "num": [1, 2],
+            "ds": pd.to_datetime(["2021-01-01", "2021-01-02"]),
+        }
+    )
+    df.to_sql(
+        "birth_names",
+        engine,
+        index=False,
+        dtype={"ds": types.DateTime(), "name": types.String(255)},
+        method="multi",
+        chunksize=100,
+    )
+    df.to_sql("birth_names", engine, index=False, if_exists="replace")
+
+    result = pd.read_sql_query("SELECT name, num FROM birth_names", engine)
+    assert result["name"].tolist() == ["a", "b"]
+    assert result["num"].tolist() == [1, 2]
+
+
+def test_restore_pandas_sqlalchemy_support_is_idempotent() -> None:
+    from pandas.compat import _optional
+
+    restore_pandas_sqlalchemy_support()
+    first = _optional.VERSIONS.get("sqlalchemy")
+    restore_pandas_sqlalchemy_support()
+    assert _optional.VERSIONS.get("sqlalchemy") == first