zhztheplayer commented on code in PR #8209:
URL: https://github.com/apache/incubator-gluten/pull/8209#discussion_r1915991291


##########
gluten-substrait/src/main/scala/org/apache/spark/sql/execution/GlutenAutoAdjustStageResourceProfile.scala:
##########
@@ -0,0 +1,168 @@
+/*
+ * 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.execution
+
+import org.apache.gluten.config.GlutenConfig
+import org.apache.gluten.execution.{ColumnarToRowExecBase, GlutenPlan}
+import org.apache.gluten.logging.LogLevelUtil
+
+import org.apache.spark.annotation.Experimental
+import org.apache.spark.internal.Logging
+import org.apache.spark.resource.{ExecutorResourceRequest, ResourceProfile, 
ResourceProfileManager, TaskResourceRequest}
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.rules.Rule
+import 
org.apache.spark.sql.execution.GlutenAutoAdjustStageResourceProfile.{applyNewResourceProfileIfPossible,
 collectStagePlan}
+import org.apache.spark.sql.execution.adaptive.QueryStageExec
+import org.apache.spark.sql.execution.command.{DataWritingCommandExec, 
ExecutedCommandExec}
+import org.apache.spark.sql.execution.exchange.Exchange
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.util.SparkTestUtil
+
+import scala.collection.mutable
+import scala.collection.mutable.ArrayBuffer
+
+/**
+ * This rule is used to dynamic adjust stage resource profile for following 
purposes:
+ *   1. swap offheap and onheap memory size when whole stage fallback happened 
2. increase executor
+ *      heap memory if stage contains gluten operator and spark operator at 
the same time. Note: we
+ *      don't support set resource profile for final stage now. Todo: support 
set resource profile
+ *      for final stage.
+ */
+@Experimental
+case class GlutenAutoAdjustStageResourceProfile(glutenConf: GlutenConfig, 
spark: SparkSession)
+  extends Rule[SparkPlan]
+  with LogLevelUtil {
+
+  override def apply(plan: SparkPlan): SparkPlan = {
+    if (!glutenConf.enableAutoAdjustStageResourceProfile) {
+      return plan
+    }
+    if (!SQLConf.get.adaptiveExecutionEnabled) {
+      return plan
+    }
+    if (!plan.isInstanceOf[Exchange]) {
+      // todo: support set resource profile for final stage
+      return plan
+    }
+    val planNodes = collectStagePlan(plan)
+    if (planNodes.isEmpty) {
+      return plan
+    }
+    log.info(s"detailPlanNodes ${planNodes.map(_.nodeName).mkString("Array(", 
", ", ")")}")
+
+    // one stage is considered as fallback if all node is not GlutenPlan
+    // or all GlutenPlan node is C2R node.
+    val wholeStageFallback = planNodes
+      .filter(_.isInstanceOf[GlutenPlan])
+      .count(!_.isInstanceOf[ColumnarToRowExecBase]) == 0
+
+    val rpManager = spark.sparkContext.resourceProfileManager
+    val defaultRP = rpManager.defaultResourceProfile
+
+    // initial resource profile config as default resource profile
+    val taskResource = mutable.Map.empty[String, TaskResourceRequest] ++= 
defaultRP.taskResources
+    val executorResource =
+      mutable.Map.empty[String, ExecutorResourceRequest] ++= 
defaultRP.executorResources
+    val memoryRequest = executorResource.get(ResourceProfile.MEMORY)
+    val offheapRequest = executorResource.get(ResourceProfile.OFFHEAP_MEM)
+    logInfo(s"default memory request $memoryRequest")
+    logInfo(s"default offheap request $offheapRequest")
+
+    // case 1: whole stage fallback to vanilla spark in such case we increase 
the heap
+    if (wholeStageFallback) {
+      val newMemoryAmount = memoryRequest.get.amount * 
glutenConf.autoAdjustStageRPHeapRatio
+      val newExecutorMemory =
+        new ExecutorResourceRequest(ResourceProfile.MEMORY, 
newMemoryAmount.toLong)
+      executorResource.put(ResourceProfile.MEMORY, newExecutorMemory)
+      val newRP = new ResourceProfile(executorResource.toMap, 
taskResource.toMap)
+      return applyNewResourceProfileIfPossible(plan, newRP, rpManager)
+    }
+
+    // case 1: check whether fallback exists and decide whether increase heap 
memory
+    val c2RorR2CCnt = planNodes.count(
+      p => p.isInstanceOf[ColumnarToRowTransition] || 
p.isInstanceOf[RowToColumnarTransition])
+    val totalCount = planNodes.size
+
+    if (1.0 * c2RorR2CCnt / totalCount >= 
glutenConf.autoAdjustStageC2RorR2CRatioThreshold) {
+      val newMemoryAmount = memoryRequest.get.amount * 
glutenConf.autoAdjustStageRPHeapRatio;
+      val newExecutorMemory =
+        new ExecutorResourceRequest(ResourceProfile.MEMORY, 
newMemoryAmount.toLong)
+      executorResource.put(ResourceProfile.MEMORY, newExecutorMemory)
+      val newRP = new ResourceProfile(executorResource.toMap, 
taskResource.toMap)
+      return applyNewResourceProfileIfPossible(plan, newRP, rpManager)
+    }
+    plan

Review Comment:
   So we are still collecting c2RorR2CCnt? While @PHILO-HE suggested to count 
on fallen back nodes. Do you have any comment here? Thanks.



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