diff --git a/connector/connect/src/main/protobuf/spark/connect/relations.proto b/connector/connect/src/main/protobuf/spark/connect/relations.proto
index 52ff780d093a..aef4e4e7c642 100644
--- a/connector/connect/src/main/protobuf/spark/connect/relations.proto
+++ b/connector/connect/src/main/protobuf/spark/connect/relations.proto
@@ -50,6 +50,7 @@ message Relation {
     RenameColumnsBySameLengthNames rename_columns_by_same_length_names = 18;
     RenameColumnsByNameToNameMap rename_columns_by_name_to_name_map = 19;
     ShowString show_string = 20;
+    Drop drop = 21;
 
     // NA functions
     NAFill fill_na = 90;
@@ -252,6 +253,19 @@ message Sort {
   }
 }
 
+
+// Drop specified columns.
+message Drop {
+  // (Required) The input relation.
+  Relation input = 1;
+
+  // (Required) columns to drop.
+  //
+  // Should contain at least 1 item.
+  repeated Expression cols = 2;
+}
+
+
 // Relation of type [[Deduplicate]] which have duplicate rows removed, could consider either only
 // the subset of columns or all the columns.
 message Deduplicate {
diff --git a/connector/connect/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala b/connector/connect/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala
index caff3d8f0713..1827aa4e3c00 100644
--- a/connector/connect/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala
+++ b/connector/connect/src/main/scala/org/apache/spark/sql/connect/dsl/package.scala
@@ -510,6 +510,28 @@ package object dsl {
           .build()
       }
 
+      def drop(columns: String*): Relation = {
+        assert(columns.nonEmpty)
+
+        val cols = columns.map(col =>
+          Expression.newBuilder
+            .setUnresolvedAttribute(
+              Expression.UnresolvedAttribute.newBuilder
+                .setUnparsedIdentifier(col)
+                .build())
+            .build())
+
+        Relation
+          .newBuilder()
+          .setDrop(
+            Drop
+              .newBuilder()
+              .setInput(logicalPlan)
+              .addAllCols(cols.asJava)
+              .build())
+          .build()
+      }
+
       def groupBy(groupingExprs: Expression*)(aggregateExprs: Expression*): Relation = {
         val agg = Aggregate.newBuilder()
         agg.setInput(logicalPlan)
diff --git a/connector/connect/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index 232f6e10474d..96d0dbe35803 100644
--- a/connector/connect/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -25,7 +25,7 @@ import com.google.common.collect.{Lists, Maps}
 import org.apache.spark.api.python.{PythonEvalType, SimplePythonFunction}
 import org.apache.spark.connect.proto
 import org.apache.spark.connect.proto.WriteOperation
-import org.apache.spark.sql.{Dataset, SparkSession}
+import org.apache.spark.sql.{Column, Dataset, SparkSession}
 import org.apache.spark.sql.catalyst.AliasIdentifier
 import org.apache.spark.sql.catalyst.analysis.{GlobalTempView, LocalTempView, MultiAlias, UnresolvedAlias, UnresolvedAttribute, UnresolvedFunction, UnresolvedRelation, UnresolvedStar}
 import org.apache.spark.sql.catalyst.expressions
@@ -69,6 +69,7 @@ class SparkConnectPlanner(session: SparkSession) {
       case proto.Relation.RelTypeCase.DEDUPLICATE => transformDeduplicate(rel.getDeduplicate)
       case proto.Relation.RelTypeCase.SET_OP => transformSetOperation(rel.getSetOp)
       case proto.Relation.RelTypeCase.SORT => transformSort(rel.getSort)
+      case proto.Relation.RelTypeCase.DROP => transformDrop(rel.getDrop)
       case proto.Relation.RelTypeCase.AGGREGATE => transformAggregate(rel.getAggregate)
       case proto.Relation.RelTypeCase.SQL => transformSql(rel.getSql)
       case proto.Relation.RelTypeCase.LOCAL_RELATION =>
@@ -523,6 +524,19 @@ class SparkConnectPlanner(session: SparkSession) {
       sameOrderExpressions = Seq.empty)
   }
 
+  private def transformDrop(rel: proto.Drop): LogicalPlan = {
+    assert(rel.getColsCount > 0, s"cols must contains at least 1 item!")
+
+    val cols = rel.getColsList.asScala.toArray.map { expr =>
+      Column(transformExpression(expr))
+    }
+
+    Dataset
+      .ofRows(session, transformRelation(rel.getInput))
+      .drop(cols.head, cols.tail: _*)
+      .logicalPlan
+  }
+
   private def transformAggregate(rel: proto.Aggregate): LogicalPlan = {
     assert(rel.hasInput)
 
diff --git a/connector/connect/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala b/connector/connect/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
index 404581445d0c..2a68a5627f15 100644
--- a/connector/connect/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
+++ b/connector/connect/src/test/scala/org/apache/spark/sql/connect/planner/SparkConnectProtoSuite.scala
@@ -148,6 +148,23 @@ class SparkConnectProtoSuite extends PlanTest with SparkConnectPlanTest {
     comparePlans(connectPlan2, sparkPlan2)
   }
 
+  test("SPARK-41169: Test drop") {
+    // single column
+    val connectPlan = connectTestRelation.drop("id")
+    val sparkPlan = sparkTestRelation.drop("id")
+    comparePlans(connectPlan, sparkPlan)
+
+    // all columns
+    val connectPlan2 = connectTestRelation.drop("id", "name")
+    val sparkPlan2 = sparkTestRelation.drop("id", "name")
+    comparePlans(connectPlan2, sparkPlan2)
+
+    // non-existing column
+    val connectPlan3 = connectTestRelation.drop("id2", "name")
+    val sparkPlan3 = sparkTestRelation.drop("id2", "name")
+    comparePlans(connectPlan3, sparkPlan3)
+  }
+
   test("SPARK-40809: column alias") {
     // Simple Test.
     val connectPlan = connectTestRelation.select("id".protoAttr.as("id2"))
diff --git a/python/pyspark/sql/connect/dataframe.py b/python/pyspark/sql/connect/dataframe.py
index 15aa028b11b1..50b1670bfbcd 100644
--- a/python/pyspark/sql/connect/dataframe.py
+++ b/python/pyspark/sql/connect/dataframe.py
@@ -257,10 +257,21 @@ def distinct(self) -> "DataFrame":
         )
 
     def drop(self, *cols: "ColumnOrString") -> "DataFrame":
-        all_cols = self.columns
-        dropped = set([c.name() if isinstance(c, Column) else self[c].name() for c in cols])
-        dropped_cols = filter(lambda x: x in dropped, all_cols)
-        return DataFrame.withPlan(plan.Project(self._plan, *dropped_cols), session=self._session)
+        _cols = list(cols)
+        if any(not isinstance(c, (str, Column)) for c in _cols):
+            raise TypeError(
+                f"'cols' must contains strings or Columns, but got {type(cols).__name__}"
+            )
+        if len(_cols) == 0:
+            raise ValueError("'cols' must be non-empty")
+
+        return DataFrame.withPlan(
+            plan.Drop(
+                child=self._plan,
+                columns=_cols,
+            ),
+            session=self._session,
+        )
 
     def filter(self, condition: Expression) -> "DataFrame":
         return DataFrame.withPlan(
diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py
index 63f1b8fa5410..ffb0ce080b30 100644
--- a/python/pyspark/sql/connect/plan.py
+++ b/python/pyspark/sql/connect/plan.py
@@ -464,6 +464,49 @@ def _repr_html_(self) -> str:
         """
 
 
+class Drop(LogicalPlan):
+    def __init__(
+        self,
+        child: Optional["LogicalPlan"],
+        columns: List[Union[Column, str]],
+    ) -> None:
+        super().__init__(child)
+        assert len(columns) > 0 and all(isinstance(c, (Column, str)) for c in columns)
+        self.columns = columns
+
+    def _convert_to_expr(
+        self, col: Union[Column, str], session: "RemoteSparkSession"
+    ) -> proto.Expression:
+        expr = proto.Expression()
+        if isinstance(col, Column):
+            expr.CopyFrom(col.to_plan(session))
+        else:
+            expr.CopyFrom(self.unresolved_attr(col))
+        return expr
+
+    def plan(self, session: "RemoteSparkSession") -> proto.Relation:
+        assert self._child is not None
+        plan = proto.Relation()
+        plan.drop.input.CopyFrom(self._child.plan(session))
+        plan.drop.cols.extend([self._convert_to_expr(c, session) for c in self.columns])
+        return plan
+
+    def print(self, indent: int = 0) -> str:
+        c_buf = self._child.print(indent + LogicalPlan.INDENT) if self._child else ""
+        return f"{' ' * indent}<Drop columns={self.columns}>\n{c_buf}"
+
+    def _repr_html_(self) -> str:
+        return f"""
+        <ul>
+            <li>
+                <b>Drop</b><br />
+                columns: {self.columns} <br />
+                {self._child_repr_()}
+            </li>
+        </uL>
+        """
+
+
 class Sample(LogicalPlan):
     def __init__(
         self,
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.py b/python/pyspark/sql/connect/proto/relations_pb2.py
index c586e4bdedaf..344caa3ea37e 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.py
+++ b/python/pyspark/sql/connect/proto/relations_pb2.py
@@ -33,7 +33,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
-    b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x1fspark/connect/expressions.proto"\xa6\x0b\n\x08Relation\x12\x35\n\x06\x63ommon\x18\x01 \x01(\x0b\x32\x1d.spark.connect.RelationCommonR\x06\x63ommon\x12)\n\x04read\x18\x02 \x01(\x0b\x32\x13.spark.connect.ReadH\x00R\x04read\x12\x32\n\x07project\x18\x03 \x01(\x0b\x32\x16.spark.connect.ProjectH\x00R\x07project\x12/\n\x06\x66ilter\x18\x04 \x01(\x0b\x32\x15.spark.connect.FilterH\x00R\x06\x66ilter\x12)\n\x04join\x18\x05 \x01(\x0b\x32\x13.spark.connect.JoinH\x00R\x04join\x12\x34\n\x06set_op\x18\x06 \x01(\x0b\x32\x1b.spark.connect.SetOperationH\x00R\x05setOp\x12)\n\x04sort\x18\x07 \x01(\x0b\x32\x13.spark.connect.SortH\x00R\x04sort\x12,\n\x05limit\x18\x08 \x01(\x0b\x32\x14.spark.connect.LimitH\x00R\x05limit\x12\x38\n\taggregate\x18\t \x01(\x0b\x32\x18.spark.connect.AggregateH\x00R\taggregate\x12&\n\x03sql\x18\n \x01(\x0b\x32\x12.spark.connect.SQLH\x00R\x03sql\x12\x45\n\x0elocal_relation\x18\x0b 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 )
 
 
@@ -54,6 +54,7 @@
 _AGGREGATE = DESCRIPTOR.message_types_by_name["Aggregate"]
 _SORT = DESCRIPTOR.message_types_by_name["Sort"]
 _SORT_SORTFIELD = _SORT.nested_types_by_name["SortField"]
+_DROP = DESCRIPTOR.message_types_by_name["Drop"]
 _DEDUPLICATE = DESCRIPTOR.message_types_by_name["Deduplicate"]
 _LOCALRELATION = DESCRIPTOR.message_types_by_name["LocalRelation"]
 _SAMPLE = DESCRIPTOR.message_types_by_name["Sample"]
@@ -256,6 +257,17 @@
 _sym_db.RegisterMessage(Sort)
 _sym_db.RegisterMessage(Sort.SortField)
 
+Drop = _reflection.GeneratedProtocolMessageType(
+    "Drop",
+    (_message.Message,),
+    {
+        "DESCRIPTOR": _DROP,
+        "__module__": "spark.connect.relations_pb2"
+        # @@protoc_insertion_point(class_scope:spark.connect.Drop)
+    },
+)
+_sym_db.RegisterMessage(Drop)
+
 Deduplicate = _reflection.GeneratedProtocolMessageType(
     "Deduplicate",
     (_message.Message,),
@@ -407,71 +419,73 @@
     _RENAMECOLUMNSBYNAMETONAMEMAP_RENAMECOLUMNSMAPENTRY._options = None
     _RENAMECOLUMNSBYNAMETONAMEMAP_RENAMECOLUMNSMAPENTRY._serialized_options = b"8\001"
     _RELATION._serialized_start = 82
-    _RELATION._serialized_end = 1528
-    _UNKNOWN._serialized_start = 1530
-    _UNKNOWN._serialized_end = 1539
-    _RELATIONCOMMON._serialized_start = 1541
-    _RELATIONCOMMON._serialized_end = 1590
-    _SQL._serialized_start = 1592
-    _SQL._serialized_end = 1619
-    _READ._serialized_start = 1622
-    _READ._serialized_end = 2048
-    _READ_NAMEDTABLE._serialized_start = 1764
-    _READ_NAMEDTABLE._serialized_end = 1825
-    _READ_DATASOURCE._serialized_start = 1828
-    _READ_DATASOURCE._serialized_end = 2035
-    _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 1966
-    _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 2024
-    _PROJECT._serialized_start = 2050
-    _PROJECT._serialized_end = 2167
-    _FILTER._serialized_start = 2169
-    _FILTER._serialized_end = 2281
-    _JOIN._serialized_start = 2284
-    _JOIN._serialized_end = 2734
-    _JOIN_JOINTYPE._serialized_start = 2547
-    _JOIN_JOINTYPE._serialized_end = 2734
-    _SETOPERATION._serialized_start = 2737
-    _SETOPERATION._serialized_end = 3133
-    _SETOPERATION_SETOPTYPE._serialized_start = 2996
-    _SETOPERATION_SETOPTYPE._serialized_end = 3110
-    _LIMIT._serialized_start = 3135
-    _LIMIT._serialized_end = 3211
-    _OFFSET._serialized_start = 3213
-    _OFFSET._serialized_end = 3292
-    _AGGREGATE._serialized_start = 3295
-    _AGGREGATE._serialized_end = 3505
-    _SORT._serialized_start = 3508
-    _SORT._serialized_end = 4058
-    _SORT_SORTFIELD._serialized_start = 3662
-    _SORT_SORTFIELD._serialized_end = 3850
-    _SORT_SORTDIRECTION._serialized_start = 3852
-    _SORT_SORTDIRECTION._serialized_end = 3960
-    _SORT_SORTNULLS._serialized_start = 3962
-    _SORT_SORTNULLS._serialized_end = 4044
-    _DEDUPLICATE._serialized_start = 4061
-    _DEDUPLICATE._serialized_end = 4232
-    _LOCALRELATION._serialized_start = 4234
-    _LOCALRELATION._serialized_end = 4327
-    _SAMPLE._serialized_start = 4330
-    _SAMPLE._serialized_end = 4554
-    _RANGE._serialized_start = 4557
-    _RANGE._serialized_end = 4702
-    _SUBQUERYALIAS._serialized_start = 4704
-    _SUBQUERYALIAS._serialized_end = 4818
-    _REPARTITION._serialized_start = 4821
-    _REPARTITION._serialized_end = 4963
-    _SHOWSTRING._serialized_start = 4966
-    _SHOWSTRING._serialized_end = 5107
-    _STATSUMMARY._serialized_start = 5109
-    _STATSUMMARY._serialized_end = 5201
-    _STATCROSSTAB._serialized_start = 5203
-    _STATCROSSTAB._serialized_end = 5304
-    _NAFILL._serialized_start = 5307
-    _NAFILL._serialized_end = 5441
-    _RENAMECOLUMNSBYSAMELENGTHNAMES._serialized_start = 5443
-    _RENAMECOLUMNSBYSAMELENGTHNAMES._serialized_end = 5557
-    _RENAMECOLUMNSBYNAMETONAMEMAP._serialized_start = 5560
-    _RENAMECOLUMNSBYNAMETONAMEMAP._serialized_end = 5819
-    _RENAMECOLUMNSBYNAMETONAMEMAP_RENAMECOLUMNSMAPENTRY._serialized_start = 5752
-    _RENAMECOLUMNSBYNAMETONAMEMAP_RENAMECOLUMNSMAPENTRY._serialized_end = 5819
+    _RELATION._serialized_end = 1571
+    _UNKNOWN._serialized_start = 1573
+    _UNKNOWN._serialized_end = 1582
+    _RELATIONCOMMON._serialized_start = 1584
+    _RELATIONCOMMON._serialized_end = 1633
+    _SQL._serialized_start = 1635
+    _SQL._serialized_end = 1662
+    _READ._serialized_start = 1665
+    _READ._serialized_end = 2091
+    _READ_NAMEDTABLE._serialized_start = 1807
+    _READ_NAMEDTABLE._serialized_end = 1868
+    _READ_DATASOURCE._serialized_start = 1871
+    _READ_DATASOURCE._serialized_end = 2078
+    _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 2009
+    _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 2067
+    _PROJECT._serialized_start = 2093
+    _PROJECT._serialized_end = 2210
+    _FILTER._serialized_start = 2212
+    _FILTER._serialized_end = 2324
+    _JOIN._serialized_start = 2327
+    _JOIN._serialized_end = 2777
+    _JOIN_JOINTYPE._serialized_start = 2590
+    _JOIN_JOINTYPE._serialized_end = 2777
+    _SETOPERATION._serialized_start = 2780
+    _SETOPERATION._serialized_end = 3176
+    _SETOPERATION_SETOPTYPE._serialized_start = 3039
+    _SETOPERATION_SETOPTYPE._serialized_end = 3153
+    _LIMIT._serialized_start = 3178
+    _LIMIT._serialized_end = 3254
+    _OFFSET._serialized_start = 3256
+    _OFFSET._serialized_end = 3335
+    _AGGREGATE._serialized_start = 3338
+    _AGGREGATE._serialized_end = 3548
+    _SORT._serialized_start = 3551
+    _SORT._serialized_end = 4101
+    _SORT_SORTFIELD._serialized_start = 3705
+    _SORT_SORTFIELD._serialized_end = 3893
+    _SORT_SORTDIRECTION._serialized_start = 3895
+    _SORT_SORTDIRECTION._serialized_end = 4003
+    _SORT_SORTNULLS._serialized_start = 4005
+    _SORT_SORTNULLS._serialized_end = 4087
+    _DROP._serialized_start = 4103
+    _DROP._serialized_end = 4203
+    _DEDUPLICATE._serialized_start = 4206
+    _DEDUPLICATE._serialized_end = 4377
+    _LOCALRELATION._serialized_start = 4379
+    _LOCALRELATION._serialized_end = 4472
+    _SAMPLE._serialized_start = 4475
+    _SAMPLE._serialized_end = 4699
+    _RANGE._serialized_start = 4702
+    _RANGE._serialized_end = 4847
+    _SUBQUERYALIAS._serialized_start = 4849
+    _SUBQUERYALIAS._serialized_end = 4963
+    _REPARTITION._serialized_start = 4966
+    _REPARTITION._serialized_end = 5108
+    _SHOWSTRING._serialized_start = 5111
+    _SHOWSTRING._serialized_end = 5252
+    _STATSUMMARY._serialized_start = 5254
+    _STATSUMMARY._serialized_end = 5346
+    _STATCROSSTAB._serialized_start = 5348
+    _STATCROSSTAB._serialized_end = 5449
+    _NAFILL._serialized_start = 5452
+    _NAFILL._serialized_end = 5586
+    _RENAMECOLUMNSBYSAMELENGTHNAMES._serialized_start = 5588
+    _RENAMECOLUMNSBYSAMELENGTHNAMES._serialized_end = 5702
+    _RENAMECOLUMNSBYNAMETONAMEMAP._serialized_start = 5705
+    _RENAMECOLUMNSBYNAMETONAMEMAP._serialized_end = 5964
+    _RENAMECOLUMNSBYNAMETONAMEMAP_RENAMECOLUMNSMAPENTRY._serialized_start = 5897
+    _RENAMECOLUMNSBYNAMETONAMEMAP_RENAMECOLUMNSMAPENTRY._serialized_end = 5964
 # @@protoc_insertion_point(module_scope)
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.pyi b/python/pyspark/sql/connect/proto/relations_pb2.pyi
index 27c6db4e7481..30e61282baaf 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/relations_pb2.pyi
@@ -79,6 +79,7 @@ class Relation(google.protobuf.message.Message):
     RENAME_COLUMNS_BY_SAME_LENGTH_NAMES_FIELD_NUMBER: builtins.int
     RENAME_COLUMNS_BY_NAME_TO_NAME_MAP_FIELD_NUMBER: builtins.int
     SHOW_STRING_FIELD_NUMBER: builtins.int
+    DROP_FIELD_NUMBER: builtins.int
     FILL_NA_FIELD_NUMBER: builtins.int
     SUMMARY_FIELD_NUMBER: builtins.int
     CROSSTAB_FIELD_NUMBER: builtins.int
@@ -124,6 +125,8 @@ class Relation(google.protobuf.message.Message):
     @property
     def show_string(self) -> global___ShowString: ...
     @property
+    def drop(self) -> global___Drop: ...
+    @property
     def fill_na(self) -> global___NAFill:
         """NA functions"""
     @property
@@ -156,6 +159,7 @@ class Relation(google.protobuf.message.Message):
         rename_columns_by_same_length_names: global___RenameColumnsBySameLengthNames | None = ...,
         rename_columns_by_name_to_name_map: global___RenameColumnsByNameToNameMap | None = ...,
         show_string: global___ShowString | None = ...,
+        drop: global___Drop | None = ...,
         fill_na: global___NAFill | None = ...,
         summary: global___StatSummary | None = ...,
         crosstab: global___StatCrosstab | None = ...,
@@ -172,6 +176,8 @@ class Relation(google.protobuf.message.Message):
             b"crosstab",
             "deduplicate",
             b"deduplicate",
+            "drop",
+            b"drop",
             "fill_na",
             b"fill_na",
             "filter",
@@ -227,6 +233,8 @@ class Relation(google.protobuf.message.Message):
             b"crosstab",
             "deduplicate",
             b"deduplicate",
+            "drop",
+            b"drop",
             "fill_na",
             b"fill_na",
             "filter",
@@ -293,6 +301,7 @@ class Relation(google.protobuf.message.Message):
         "rename_columns_by_same_length_names",
         "rename_columns_by_name_to_name_map",
         "show_string",
+        "drop",
         "fill_na",
         "summary",
         "crosstab",
@@ -961,6 +970,42 @@ class Sort(google.protobuf.message.Message):
 
 global___Sort = Sort
 
+class Drop(google.protobuf.message.Message):
+    """Drop specified columns."""
+
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    INPUT_FIELD_NUMBER: builtins.int
+    COLS_FIELD_NUMBER: builtins.int
+    @property
+    def input(self) -> global___Relation:
+        """(Required) The input relation."""
+    @property
+    def cols(
+        self,
+    ) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[
+        pyspark.sql.connect.proto.expressions_pb2.Expression
+    ]:
+        """(Required) columns to drop.
+
+        Should contain at least 1 item.
+        """
+    def __init__(
+        self,
+        *,
+        input: global___Relation | None = ...,
+        cols: collections.abc.Iterable[pyspark.sql.connect.proto.expressions_pb2.Expression]
+        | None = ...,
+    ) -> None: ...
+    def HasField(
+        self, field_name: typing_extensions.Literal["input", b"input"]
+    ) -> builtins.bool: ...
+    def ClearField(
+        self, field_name: typing_extensions.Literal["cols", b"cols", "input", b"input"]
+    ) -> None: ...
+
+global___Drop = Drop
+
 class Deduplicate(google.protobuf.message.Message):
     """Relation of type [[Deduplicate]] which have duplicate rows removed, could consider either only
     the subset of columns or all the columns.
diff --git a/python/pyspark/sql/tests/connect/test_connect_basic.py b/python/pyspark/sql/tests/connect/test_connect_basic.py
index 9e7a5f2f4a54..61544d521406 100644
--- a/python/pyspark/sql/tests/connect/test_connect_basic.py
+++ b/python/pyspark/sql/tests/connect/test_connect_basic.py
@@ -188,6 +188,33 @@ def test_take(self) -> None:
         df2 = self.connect.read.table(self.tbl_name_empty)
         self.assertEqual(0, len(df2.take(5)))
 
+    def test_drop(self):
+        # SPARK-41169: test drop
+        query = """
+            SELECT * FROM VALUES
+            (false, 1, NULL), (false, NULL, 2), (NULL, 3, 3)
+            AS tab(a, b, c)
+            """
+
+        cdf = self.connect.sql(query)
+        sdf = self.spark.sql(query)
+        self.assert_eq(
+            cdf.drop("a").toPandas(),
+            sdf.drop("a").toPandas(),
+        )
+        self.assert_eq(
+            cdf.drop("a", "b").toPandas(),
+            sdf.drop("a", "b").toPandas(),
+        )
+        self.assert_eq(
+            cdf.drop("a", "x").toPandas(),
+            sdf.drop("a", "x").toPandas(),
+        )
+        self.assert_eq(
+            cdf.drop(cdf.a, cdf.x).toPandas(),
+            sdf.drop("a", "x").toPandas(),
+        )
+
     def test_subquery_alias(self) -> None:
         # SPARK-40938: test subquery alias.
         plan_text = (
diff --git a/python/pyspark/sql/tests/connect/test_connect_plan_only.py b/python/pyspark/sql/tests/connect/test_connect_plan_only.py
index d560c8b893fc..26a8da46ac3f 100644
--- a/python/pyspark/sql/tests/connect/test_connect_plan_only.py
+++ b/python/pyspark/sql/tests/connect/test_connect_plan_only.py
@@ -181,6 +181,22 @@ def test_sort(self):
         )
         self.assertEqual(plan.root.sort.is_global, False)
 
+    def test_drop(self):
+        # SPARK-41169: test drop
+        df = self.connect.readTable(table_name=self.tbl_name)
+
+        plan = df.filter(df.col_name > 3).drop("col_a", "col_b")._plan.to_proto(self.connect)
+        self.assertEqual(
+            [f.unresolved_attribute.unparsed_identifier for f in plan.root.drop.cols],
+            ["col_a", "col_b"],
+        )
+
+        plan = df.filter(df.col_name > 3).drop(df.col_x, "col_b")._plan.to_proto(self.connect)
+        self.assertEqual(
+            [f.unresolved_attribute.unparsed_identifier for f in plan.root.drop.cols],
+            ["col_x", "col_b"],
+        )
+
     def test_deduplicate(self):
         df = self.connect.readTable(table_name=self.tbl_name)