grundprinzip commented on code in PR #41580:
URL: https://github.com/apache/spark/pull/41580#discussion_r1231388815


##########
connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectCachedDataFrameManager.scala:
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@@ -0,0 +1,63 @@
+/*
+ * 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 javax.annotation.concurrent.GuardedBy
+
+import scala.collection.mutable
+
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.connect.common.InvalidPlanInput
+
+/**
+ * This class caches DataFrame on the server side with given ids. The Spark 
Connect client can
+ * create a DataFrame reference with the id. When server transforms the 
DataFrame reference, it
+ * finds the DataFrame from the cache and replace the reference.
+ *
+ * Each session has a corresponding DataFrame map. A cached DataFrame can only 
be accessed from
+ * within the same session. The DataFrame will be removed from the cache by 
the owner (e.g.
+ * Streaming query) or when the session expires.
+ */
+private[sql] class SparkConnectCachedDataFrameManager {
+
+  // Session.sessionUUID -> Map[DF Reference ID -> DF]
+  @GuardedBy("this")
+  private val dataFrameCache = mutable.Map[String, mutable.Map[String, 
DataFrame]]()

Review Comment:
   Once you move this into the session holder, please use a concurrent hashmap 
instead because you only need one then.



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