diff --git a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
index d29ab02f86a9..29405a1332b4 100644
--- a/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
+++ b/connector/connect/common/src/main/protobuf/spark/connect/relations.proto
@@ -70,6 +70,7 @@ message Relation {
     ApplyInPandasWithState apply_in_pandas_with_state = 34;
     HtmlString html_string = 35;
     CachedLocalRelation cached_local_relation = 36;
+    CachedRemoteRelation cached_remote_relation = 37;
 
     // NA functions
     NAFill fill_na = 90;
@@ -398,6 +399,12 @@ message CachedLocalRelation {
   string hash = 3;
 }
 
+// Represents a remote relation that has been cached on server.
+message CachedRemoteRelation {
+  // (Required) ID of the remote related (assigned by the service).
+  string relation_id = 1;
+}
+
 // Relation of type [[Sample]] that samples a fraction of the dataset.
 message Sample {
   // (Required) Input relation for a Sample.
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
index c19fc5fe90e8..d603e7fb2d7d 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala
@@ -160,6 +160,8 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
         transformCoGroupMap(rel.getCoGroupMap)
       case proto.Relation.RelTypeCase.APPLY_IN_PANDAS_WITH_STATE =>
         transformApplyInPandasWithState(rel.getApplyInPandasWithState)
+      case proto.Relation.RelTypeCase.CACHED_REMOTE_RELATION =>
+        transformCachedRemoteRelation(rel.getCachedRemoteRelation)
       case proto.Relation.RelTypeCase.COLLECT_METRICS =>
         transformCollectMetrics(rel.getCollectMetrics)
       case proto.Relation.RelTypeCase.PARSE => transformParse(rel.getParse)
@@ -872,6 +874,12 @@ class SparkConnectPlanner(val sessionHolder: SessionHolder) extends Logging {
       .logicalPlan
   }
 
+  private def transformCachedRemoteRelation(rel: proto.CachedRemoteRelation): LogicalPlan = {
+    sessionHolder
+      .getDataFrameOrThrow(rel.getRelationId)
+      .logicalPlan
+  }
+
   private def transformWithColumnsRenamed(rel: proto.WithColumnsRenamed): LogicalPlan = {
     Dataset
       .ofRows(session, transformRelation(rel.getInput))
diff --git a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
index 004322097790..24502fccd963 100644
--- a/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
+++ b/connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SessionHolder.scala
@@ -28,10 +28,13 @@ import org.json4s.JsonDSL._
 import org.json4s.jackson.JsonMethods.{compact, render}
 
 import org.apache.spark.JobArtifactSet
+import org.apache.spark.SparkException
 import org.apache.spark.connect.proto
 import org.apache.spark.internal.Logging
+import org.apache.spark.sql.DataFrame
 import org.apache.spark.sql.SparkSession
 import org.apache.spark.sql.connect.artifact.SparkConnectArtifactManager
+import org.apache.spark.sql.connect.common.InvalidPlanInput
 import org.apache.spark.util.Utils
 
 /**
@@ -43,6 +46,10 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
   val executePlanOperations: ConcurrentMap[String, ExecutePlanHolder] =
     new ConcurrentHashMap[String, ExecutePlanHolder]()
 
+  // Mapping from relation ID (passed to client) to runtime dataframe. Used for callbacks like
+  // foreachBatch() in Streaming. Lazy since most sessions don't need it.
+  private lazy val dataFrameCache: ConcurrentMap[String, DataFrame] = new ConcurrentHashMap()
+
   private[connect] def createExecutePlanHolder(
       request: proto.ExecutePlanRequest): ExecutePlanHolder = {
 
@@ -163,6 +170,31 @@ case class SessionHolder(userId: String, sessionId: String, session: SparkSessio
       }
     }
   }
+
+  /**
+   * Caches given DataFrame with the ID. The cache does not expire. The entry needs to be
+   * explicitly removed by the owners of the DataFrame once it is not needed.
+   */
+  private[connect] def cacheDataFrameById(dfId: String, df: DataFrame): Unit = {
+    if (dataFrameCache.putIfAbsent(dfId, df) != null) {
+      SparkException.internalError(s"A dataframe is already associated with id $dfId")
+    }
+  }
+
+  /**
+   * Returns [[DataFrame]] cached for DataFrame ID `dfId`. If it is not found, throw
+   * [[InvalidPlanInput]].
+   */
+  private[connect] def getDataFrameOrThrow(dfId: String): DataFrame = {
+    Option(dataFrameCache.get(dfId))
+      .getOrElse {
+        throw InvalidPlanInput(s"No DataFrame with id $dfId is found in the session $sessionId")
+      }
+  }
+
+  private[connect] def removeCachedDataFrame(dfId: String): DataFrame = {
+    dataFrameCache.remove(dfId)
+  }
 }
 
 object SessionHolder {
diff --git a/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala
new file mode 100644
index 000000000000..51b788868198
--- /dev/null
+++ b/connector/connect/server/src/test/scala/org/apache/spark/sql/connect/service/SparkConnectSessionHodlerSuite.scala
@@ -0,0 +1,82 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark.sql.connect.service
+
+import org.apache.spark.sql.connect.common.InvalidPlanInput
+import org.apache.spark.sql.test.SharedSparkSession
+
+class SparkConnectSessionHolderSuite extends SharedSparkSession {
+
+  test("DataFrame cache: Successful put and get") {
+    val sessionHolder = SessionHolder.forTesting(spark)
+    import sessionHolder.session.implicits._
+
+    val data1 = Seq(("k1", "v1"), ("k2", "v2"), ("k3", "v3"))
+    val df1 = data1.toDF()
+    val id1 = "df_id_1"
+    sessionHolder.cacheDataFrameById(id1, df1)
+
+    val expectedDf1 = sessionHolder.getDataFrameOrThrow(id1)
+    assert(expectedDf1 == df1)
+
+    val data2 = Seq(("k4", "v4"), ("k5", "v5"))
+    val df2 = data2.toDF()
+    val id2 = "df_id_2"
+    sessionHolder.cacheDataFrameById(id2, df2)
+
+    val expectedDf2 = sessionHolder.getDataFrameOrThrow(id2)
+    assert(expectedDf2 == df2)
+  }
+
+  test("DataFrame cache: Should throw when dataframe is not found") {
+    val sessionHolder = SessionHolder.forTesting(spark)
+    import sessionHolder.session.implicits._
+
+    val key1 = "key_1"
+
+    assertThrows[InvalidPlanInput] {
+      sessionHolder.getDataFrameOrThrow(key1)
+    }
+
+    val data1 = Seq(("k1", "v1"), ("k2", "v2"), ("k3", "v3"))
+    val df1 = data1.toDF()
+    sessionHolder.cacheDataFrameById(key1, df1)
+    sessionHolder.getDataFrameOrThrow(key1)
+
+    val key2 = "key_2"
+    assertThrows[InvalidPlanInput] {
+      sessionHolder.getDataFrameOrThrow(key2)
+    }
+  }
+
+  test("DataFrame cache: Remove cache and then get should fail") {
+    val sessionHolder = SessionHolder.forTesting(spark)
+    import sessionHolder.session.implicits._
+
+    val key1 = "key_1"
+    val data1 = Seq(("k1", "v1"), ("k2", "v2"), ("k3", "v3"))
+    val df1 = data1.toDF()
+    sessionHolder.cacheDataFrameById(key1, df1)
+    sessionHolder.getDataFrameOrThrow(key1)
+
+    sessionHolder.removeCachedDataFrame(key1)
+    assertThrows[InvalidPlanInput] {
+      sessionHolder.getDataFrameOrThrow(key1)
+    }
+  }
+}
diff --git a/python/pyspark/sql/connect/plan.py b/python/pyspark/sql/connect/plan.py
index fabab98d9b28..97348d4863ef 100644
--- a/python/pyspark/sql/connect/plan.py
+++ b/python/pyspark/sql/connect/plan.py
@@ -551,6 +551,20 @@ def plan(self, session: "SparkConnectClient") -> proto.Relation:
         return plan
 
 
+class CachedRemoteRelation(LogicalPlan):
+    """Logical plan object for a DataFrame reference which represents a DataFrame that's been
+    cached on the server with a given id."""
+
+    def __init__(self, relationId: str):
+        super().__init__(None)
+        self._relationId = relationId
+
+    def plan(self, session: "SparkConnectClient") -> proto.Relation:
+        plan = self._create_proto_relation()
+        plan.cached_remote_relation.relation_id = self._relationId
+        return plan
+
+
 class Hint(LogicalPlan):
     """Logical plan object for a Hint operation."""
 
diff --git a/python/pyspark/sql/connect/proto/relations_pb2.py b/python/pyspark/sql/connect/proto/relations_pb2.py
index d175dedc1a23..288bbe084c1f 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.py
+++ b/python/pyspark/sql/connect/proto/relations_pb2.py
@@ -36,7 +36,7 @@
 
 
 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
-    b'\n\x1dspark/connect/relations.proto\x12\rspark.connect\x1a\x19google/protobuf/any.proto\x1a\x1fspark/connect/expressions.proto\x1a\x19spark/connect/types.proto\x1a\x1bspark/connect/catalog.proto"\xf3\x16\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 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 )
 
 
@@ -64,6 +64,7 @@
 _DEDUPLICATE = DESCRIPTOR.message_types_by_name["Deduplicate"]
 _LOCALRELATION = DESCRIPTOR.message_types_by_name["LocalRelation"]
 _CACHEDLOCALRELATION = DESCRIPTOR.message_types_by_name["CachedLocalRelation"]
+_CACHEDREMOTERELATION = DESCRIPTOR.message_types_by_name["CachedRemoteRelation"]
 _SAMPLE = DESCRIPTOR.message_types_by_name["Sample"]
 _RANGE = DESCRIPTOR.message_types_by_name["Range"]
 _SUBQUERYALIAS = DESCRIPTOR.message_types_by_name["SubqueryAlias"]
@@ -364,6 +365,17 @@
 )
 _sym_db.RegisterMessage(CachedLocalRelation)
 
+CachedRemoteRelation = _reflection.GeneratedProtocolMessageType(
+    "CachedRemoteRelation",
+    (_message.Message,),
+    {
+        "DESCRIPTOR": _CACHEDREMOTERELATION,
+        "__module__": "spark.connect.relations_pb2"
+        # @@protoc_insertion_point(class_scope:spark.connect.CachedRemoteRelation)
+    },
+)
+_sym_db.RegisterMessage(CachedRemoteRelation)
+
 Sample = _reflection.GeneratedProtocolMessageType(
     "Sample",
     (_message.Message,),
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     _PARSE_OPTIONSENTRY._serialized_options = b"8\001"
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-    _RELATION._serialized_end = 3096
-    _UNKNOWN._serialized_start = 3098
-    _UNKNOWN._serialized_end = 3107
-    _RELATIONCOMMON._serialized_start = 3109
-    _RELATIONCOMMON._serialized_end = 3200
-    _SQL._serialized_start = 3203
-    _SQL._serialized_end = 3434
-    _SQL_ARGSENTRY._serialized_start = 3344
-    _SQL_ARGSENTRY._serialized_end = 3434
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-    _READ._serialized_end = 4100
-    _READ_NAMEDTABLE._serialized_start = 3615
-    _READ_NAMEDTABLE._serialized_end = 3807
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-    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_end = 3807
-    _READ_DATASOURCE._serialized_start = 3810
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-    _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 3749
-    _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 3807
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-    _PROJECT._serialized_end = 4219
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-    _JOIN._serialized_end = 4807
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-    _COGROUPMAP._serialized_start = 11685
-    _COGROUPMAP._serialized_end = 12211
-    _APPLYINPANDASWITHSTATE._serialized_start = 12214
-    _APPLYINPANDASWITHSTATE._serialized_end = 12571
-    _COLLECTMETRICS._serialized_start = 12574
-    _COLLECTMETRICS._serialized_end = 12710
-    _PARSE._serialized_start = 12713
-    _PARSE._serialized_end = 13101
-    _PARSE_OPTIONSENTRY._serialized_start = 3749
-    _PARSE_OPTIONSENTRY._serialized_end = 3807
-    _PARSE_PARSEFORMAT._serialized_start = 13002
-    _PARSE_PARSEFORMAT._serialized_end = 13090
+    _RELATION._serialized_end = 3189
+    _UNKNOWN._serialized_start = 3191
+    _UNKNOWN._serialized_end = 3200
+    _RELATIONCOMMON._serialized_start = 3202
+    _RELATIONCOMMON._serialized_end = 3293
+    _SQL._serialized_start = 3296
+    _SQL._serialized_end = 3527
+    _SQL_ARGSENTRY._serialized_start = 3437
+    _SQL_ARGSENTRY._serialized_end = 3527
+    _READ._serialized_start = 3530
+    _READ._serialized_end = 4193
+    _READ_NAMEDTABLE._serialized_start = 3708
+    _READ_NAMEDTABLE._serialized_end = 3900
+    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_start = 3842
+    _READ_NAMEDTABLE_OPTIONSENTRY._serialized_end = 3900
+    _READ_DATASOURCE._serialized_start = 3903
+    _READ_DATASOURCE._serialized_end = 4180
+    _READ_DATASOURCE_OPTIONSENTRY._serialized_start = 3842
+    _READ_DATASOURCE_OPTIONSENTRY._serialized_end = 3900
+    _PROJECT._serialized_start = 4195
+    _PROJECT._serialized_end = 4312
+    _FILTER._serialized_start = 4314
+    _FILTER._serialized_end = 4426
+    _JOIN._serialized_start = 4429
+    _JOIN._serialized_end = 4900
+    _JOIN_JOINTYPE._serialized_start = 4692
+    _JOIN_JOINTYPE._serialized_end = 4900
+    _SETOPERATION._serialized_start = 4903
+    _SETOPERATION._serialized_end = 5382
+    _SETOPERATION_SETOPTYPE._serialized_start = 5219
+    _SETOPERATION_SETOPTYPE._serialized_end = 5333
+    _LIMIT._serialized_start = 5384
+    _LIMIT._serialized_end = 5460
+    _OFFSET._serialized_start = 5462
+    _OFFSET._serialized_end = 5541
+    _TAIL._serialized_start = 5543
+    _TAIL._serialized_end = 5618
+    _AGGREGATE._serialized_start = 5621
+    _AGGREGATE._serialized_end = 6203
+    _AGGREGATE_PIVOT._serialized_start = 5960
+    _AGGREGATE_PIVOT._serialized_end = 6071
+    _AGGREGATE_GROUPTYPE._serialized_start = 6074
+    _AGGREGATE_GROUPTYPE._serialized_end = 6203
+    _SORT._serialized_start = 6206
+    _SORT._serialized_end = 6366
+    _DROP._serialized_start = 6369
+    _DROP._serialized_end = 6510
+    _DEDUPLICATE._serialized_start = 6513
+    _DEDUPLICATE._serialized_end = 6753
+    _LOCALRELATION._serialized_start = 6755
+    _LOCALRELATION._serialized_end = 6844
+    _CACHEDLOCALRELATION._serialized_start = 6846
+    _CACHEDLOCALRELATION._serialized_end = 6941
+    _CACHEDREMOTERELATION._serialized_start = 6943
+    _CACHEDREMOTERELATION._serialized_end = 6998
+    _SAMPLE._serialized_start = 7001
+    _SAMPLE._serialized_end = 7274
+    _RANGE._serialized_start = 7277
+    _RANGE._serialized_end = 7422
+    _SUBQUERYALIAS._serialized_start = 7424
+    _SUBQUERYALIAS._serialized_end = 7538
+    _REPARTITION._serialized_start = 7541
+    _REPARTITION._serialized_end = 7683
+    _SHOWSTRING._serialized_start = 7686
+    _SHOWSTRING._serialized_end = 7828
+    _HTMLSTRING._serialized_start = 7830
+    _HTMLSTRING._serialized_end = 7944
+    _STATSUMMARY._serialized_start = 7946
+    _STATSUMMARY._serialized_end = 8038
+    _STATDESCRIBE._serialized_start = 8040
+    _STATDESCRIBE._serialized_end = 8121
+    _STATCROSSTAB._serialized_start = 8123
+    _STATCROSSTAB._serialized_end = 8224
+    _STATCOV._serialized_start = 8226
+    _STATCOV._serialized_end = 8322
+    _STATCORR._serialized_start = 8325
+    _STATCORR._serialized_end = 8462
+    _STATAPPROXQUANTILE._serialized_start = 8465
+    _STATAPPROXQUANTILE._serialized_end = 8629
+    _STATFREQITEMS._serialized_start = 8631
+    _STATFREQITEMS._serialized_end = 8756
+    _STATSAMPLEBY._serialized_start = 8759
+    _STATSAMPLEBY._serialized_end = 9068
+    _STATSAMPLEBY_FRACTION._serialized_start = 8960
+    _STATSAMPLEBY_FRACTION._serialized_end = 9059
+    _NAFILL._serialized_start = 9071
+    _NAFILL._serialized_end = 9205
+    _NADROP._serialized_start = 9208
+    _NADROP._serialized_end = 9342
+    _NAREPLACE._serialized_start = 9345
+    _NAREPLACE._serialized_end = 9641
+    _NAREPLACE_REPLACEMENT._serialized_start = 9500
+    _NAREPLACE_REPLACEMENT._serialized_end = 9641
+    _TODF._serialized_start = 9643
+    _TODF._serialized_end = 9731
+    _WITHCOLUMNSRENAMED._serialized_start = 9734
+    _WITHCOLUMNSRENAMED._serialized_end = 9973
+    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_start = 9906
+    _WITHCOLUMNSRENAMED_RENAMECOLUMNSMAPENTRY._serialized_end = 9973
+    _WITHCOLUMNS._serialized_start = 9975
+    _WITHCOLUMNS._serialized_end = 10094
+    _WITHWATERMARK._serialized_start = 10097
+    _WITHWATERMARK._serialized_end = 10231
+    _HINT._serialized_start = 10234
+    _HINT._serialized_end = 10366
+    _UNPIVOT._serialized_start = 10369
+    _UNPIVOT._serialized_end = 10696
+    _UNPIVOT_VALUES._serialized_start = 10626
+    _UNPIVOT_VALUES._serialized_end = 10685
+    _TOSCHEMA._serialized_start = 10698
+    _TOSCHEMA._serialized_end = 10804
+    _REPARTITIONBYEXPRESSION._serialized_start = 10807
+    _REPARTITIONBYEXPRESSION._serialized_end = 11010
+    _MAPPARTITIONS._serialized_start = 11013
+    _MAPPARTITIONS._serialized_end = 11194
+    _GROUPMAP._serialized_start = 11197
+    _GROUPMAP._serialized_end = 11832
+    _COGROUPMAP._serialized_start = 11835
+    _COGROUPMAP._serialized_end = 12361
+    _APPLYINPANDASWITHSTATE._serialized_start = 12364
+    _APPLYINPANDASWITHSTATE._serialized_end = 12721
+    _COLLECTMETRICS._serialized_start = 12724
+    _COLLECTMETRICS._serialized_end = 12860
+    _PARSE._serialized_start = 12863
+    _PARSE._serialized_end = 13251
+    _PARSE_OPTIONSENTRY._serialized_start = 3842
+    _PARSE_OPTIONSENTRY._serialized_end = 3900
+    _PARSE_PARSEFORMAT._serialized_start = 13152
+    _PARSE_PARSEFORMAT._serialized_end = 13240
 # @@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 28609b417138..8909d438c9d0 100644
--- a/python/pyspark/sql/connect/proto/relations_pb2.pyi
+++ b/python/pyspark/sql/connect/proto/relations_pb2.pyi
@@ -98,6 +98,7 @@ class Relation(google.protobuf.message.Message):
     APPLY_IN_PANDAS_WITH_STATE_FIELD_NUMBER: builtins.int
     HTML_STRING_FIELD_NUMBER: builtins.int
     CACHED_LOCAL_RELATION_FIELD_NUMBER: builtins.int
+    CACHED_REMOTE_RELATION_FIELD_NUMBER: builtins.int
     FILL_NA_FIELD_NUMBER: builtins.int
     DROP_NA_FIELD_NUMBER: builtins.int
     REPLACE_FIELD_NUMBER: builtins.int
@@ -185,6 +186,8 @@ class Relation(google.protobuf.message.Message):
     @property
     def cached_local_relation(self) -> global___CachedLocalRelation: ...
     @property
+    def cached_remote_relation(self) -> global___CachedRemoteRelation: ...
+    @property
     def fill_na(self) -> global___NAFill:
         """NA functions"""
     @property
@@ -257,6 +260,7 @@ class Relation(google.protobuf.message.Message):
         apply_in_pandas_with_state: global___ApplyInPandasWithState | None = ...,
         html_string: global___HtmlString | None = ...,
         cached_local_relation: global___CachedLocalRelation | None = ...,
+        cached_remote_relation: global___CachedRemoteRelation | None = ...,
         fill_na: global___NAFill | None = ...,
         drop_na: global___NADrop | None = ...,
         replace: global___NAReplace | None = ...,
@@ -283,6 +287,8 @@ class Relation(google.protobuf.message.Message):
             b"approx_quantile",
             "cached_local_relation",
             b"cached_local_relation",
+            "cached_remote_relation",
+            b"cached_remote_relation",
             "catalog",
             b"catalog",
             "co_group_map",
@@ -390,6 +396,8 @@ class Relation(google.protobuf.message.Message):
             b"approx_quantile",
             "cached_local_relation",
             b"cached_local_relation",
+            "cached_remote_relation",
+            b"cached_remote_relation",
             "catalog",
             b"catalog",
             "co_group_map",
@@ -524,6 +532,7 @@ class Relation(google.protobuf.message.Message):
         "apply_in_pandas_with_state",
         "html_string",
         "cached_local_relation",
+        "cached_remote_relation",
         "fill_na",
         "drop_na",
         "replace",
@@ -1608,6 +1617,25 @@ class CachedLocalRelation(google.protobuf.message.Message):
 
 global___CachedLocalRelation = CachedLocalRelation
 
+class CachedRemoteRelation(google.protobuf.message.Message):
+    """Represents a remote relation that has been cached on server."""
+
+    DESCRIPTOR: google.protobuf.descriptor.Descriptor
+
+    RELATION_ID_FIELD_NUMBER: builtins.int
+    relation_id: builtins.str
+    """(Required) ID of the remote related (assigned by the service)."""
+    def __init__(
+        self,
+        *,
+        relation_id: builtins.str = ...,
+    ) -> None: ...
+    def ClearField(
+        self, field_name: typing_extensions.Literal["relation_id", b"relation_id"]
+    ) -> None: ...
+
+global___CachedRemoteRelation = CachedRemoteRelation
+
 class Sample(google.protobuf.message.Message):
     """Relation of type [[Sample]] that samples a fraction of the dataset."""