HyukjinKwon commented on code in PR #55574:
URL: https://github.com/apache/spark/pull/55574#discussion_r3150659978


##########
python/pyspark/sql/connect/context.py:
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@@ -0,0 +1,451 @@
+#
+# 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 warnings
+from typing import (
+    Optional,
+    Union,
+    Callable,
+    Any,
+    Iterable,
+    List,
+    Tuple,
+    Type,
+    ClassVar,
+    TYPE_CHECKING,
+)
+
+from pyspark import _NoValue
+from pyspark._globals import _NoValueType
+from pyspark.errors import PySparkNotImplementedError
+from pyspark.sql.connect.dataframe import DataFrame
+from pyspark.sql.connect.readwriter import DataFrameReader
+from pyspark.sql.connect.streaming.readwriter import DataStreamReader
+from pyspark.sql.connect.streaming.query import StreamingQueryManager
+from pyspark.sql.types import Row, AtomicType, DataType, StructType
+
+if TYPE_CHECKING:
+    import numpy as np
+    import pandas as pd
+    import pyarrow as pa
+    from pyspark.sql.connect.session import SparkSession
+    from pyspark.sql.connect.udf import UDFRegistration
+    from pyspark.sql.connect.udtf import UDTFRegistration
+    from pyspark.sql._typing import UserDefinedFunctionLike
+
+__all__ = ["SQLContext", "HiveContext"]
+
+
+class SQLContext:

Review Comment:
   We do sth in SQLContext.getOrCreate. Otherwise, users would have to manually 
import pyspark.sql.connect to use spark Connect



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