linhongliu-db commented on a change in pull request #35856:
URL: https://github.com/apache/spark/pull/35856#discussion_r839169074



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/diagnostic/DiagnosticListener.scala
##########
@@ -0,0 +1,104 @@
+/*
+ * 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.diagnostic
+
+import org.apache.spark.SparkConf
+import org.apache.spark.scheduler.{SparkListener, SparkListenerEvent}
+import org.apache.spark.sql.execution.ExplainMode
+import 
org.apache.spark.sql.execution.ui.{SparkListenerSQLAdaptiveExecutionUpdate, 
SparkListenerSQLExecutionEnd, SparkListenerSQLExecutionStart}
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.internal.StaticSQLConf.UI_RETAINED_EXECUTIONS
+import org.apache.spark.status.{ElementTrackingStore, KVUtils}
+
+class DiagnosticListener(
+    conf: SparkConf,
+    kvStore: ElementTrackingStore) extends SparkListener {
+
+  kvStore.addTrigger(
+    classOf[ExecutionDiagnosticData],
+    conf.get(UI_RETAINED_EXECUTIONS)) { count =>
+    cleanupExecutions(count)
+  }
+
+  override def onOtherEvent(event: SparkListenerEvent): Unit = event match {
+    case e: SparkListenerSQLExecutionStart => onExecutionStart(e)
+    case e: SparkListenerSQLExecutionEnd => onExecutionEnd(e)
+    case e: SparkListenerSQLAdaptiveExecutionUpdate => 
onAdaptiveExecutionUpdate(e)
+    case _ => // Ignore
+  }
+
+  private def onAdaptiveExecutionUpdate(event: 
SparkListenerSQLAdaptiveExecutionUpdate): Unit = {
+    val data = new AdaptiveExecutionUpdate(
+      event.executionId,
+      System.currentTimeMillis(),
+      event.physicalPlanDescription

Review comment:
       I'm not worried about the cost too much because a separate listener with 
a separate event queue won't slow down other listeners.
   But I do want to make sure everything we added is necessary. I mean, 
usually, it's enough to only output full fields in the final plan, and plan 
change history can keep a truncated plan. Because, IIUC, the AQE aims to change 
the operators and expressions usually unchanged.




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