github-actions[bot] commented on code in PR #64559:
URL: https://github.com/apache/doris/pull/64559#discussion_r3432470206


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fe/fe-core/src/main/java/org/apache/doris/nereids/stats/MemoStatsAndCostRecomputer.java:
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@@ -0,0 +1,759 @@
+// 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.doris.nereids.stats;
+
+import org.apache.doris.common.Pair;
+import org.apache.doris.nereids.CascadesContext;
+import org.apache.doris.nereids.cost.Cost;
+import org.apache.doris.nereids.cost.CostCalculator;
+import org.apache.doris.nereids.memo.Group;
+import org.apache.doris.nereids.memo.GroupExpression;
+import org.apache.doris.nereids.properties.PhysicalProperties;
+import org.apache.doris.nereids.trees.expressions.CTEId;
+import org.apache.doris.nereids.trees.plans.Plan;
+import org.apache.doris.nereids.trees.plans.algebra.Join;
+import org.apache.doris.nereids.trees.plans.logical.LogicalCTEConsumer;
+import org.apache.doris.nereids.trees.plans.logical.LogicalCTEProducer;
+import org.apache.doris.nereids.trees.plans.logical.LogicalProject;
+import org.apache.doris.nereids.trees.plans.physical.PhysicalCTEConsumer;
+import org.apache.doris.nereids.trees.plans.physical.PhysicalCTEProducer;
+import org.apache.doris.nereids.trees.plans.physical.PhysicalProject;
+import org.apache.doris.qe.ConnectContext;
+import org.apache.doris.statistics.Statistics;
+
+import com.google.common.collect.Lists;
+
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+import java.util.Set;
+
+/**
+ * Re-estimate memo logical row counts and rebuild physical costs.
+ * and rebuild physical cost state.
+ */
+public final class MemoStatsAndCostRecomputer {
+    private static final double 
CHOSEN_PROJECT_STATS_DIVERGENCE_RATIO_THRESHOLD = 1_000D;
+    private final CascadesContext cascadesContext;
+    private final Map<CTEId, Statistics> cteIdToStats = new HashMap<>();
+    private final LogicalExpressionRowCountSyncPolicy 
logicalExpressionRowCountSyncPolicy;
+
+    private MemoStatsAndCostRecomputer(CascadesContext cascadesContext,
+            LogicalExpressionRowCountSyncPolicy 
logicalExpressionRowCountSyncPolicy) {
+        this.cascadesContext = cascadesContext;
+        this.logicalExpressionRowCountSyncPolicy = 
logicalExpressionRowCountSyncPolicy;
+    }
+
+    /**
+     * recompute
+     */
+    public static void recompute(Group rootGroup, PhysicalProperties 
physicalProperties,
+            CascadesContext cascadesContext) {
+        recompute(rootGroup, physicalProperties, cascadesContext,
+                
LogicalExpressionRowCountSyncPolicy.KEEP_INDIVIDUAL_EXPRESSION_ROW_COUNT);
+    }
+
+    /**
+     * recompute with configurable logical expression row count sync behavior.
+     */
+    public static void recompute(Group rootGroup, PhysicalProperties 
physicalProperties,
+            CascadesContext cascadesContext,
+            LogicalExpressionRowCountSyncPolicy 
logicalExpressionRowCountSyncPolicy) {
+        MemoStatsAndCostRecomputer recomputer = new 
MemoStatsAndCostRecomputer(cascadesContext,
+                logicalExpressionRowCountSyncPolicy);
+        recomputer.seedProducerStats(rootGroup, new HashSet<>());
+        recomputer.reestimateLogicalStatsBottomUp(rootGroup, new HashSet<>());
+        // Run a second pass so CTE consumers and their ancestors can settle 
on producer stats refreshed above.
+        recomputer.reestimateLogicalStatsBottomUp(rootGroup, new HashSet<>());
+        recomputer.recomputePhysicalCostsBottomUp(rootGroup, new HashSet<>());
+    }
+
+    private void seedProducerStats(Group group, Set<Group> visited) {
+        if (!visited.add(group)) {
+            return;
+        }
+        Statistics statistics = group.getStatistics();
+        if (statistics != null) {
+            recordProducerStats(group, statistics);
+        }
+        for (Group child : getTraversalChildren(group)) {
+            seedProducerStats(child, visited);
+        }
+    }
+
+    private void reestimateLogicalStatsBottomUp(Group group, Set<Group> 
visited) {
+        if (!visited.add(group)) {
+            return;
+        }
+        for (Group child : getTraversalChildren(group)) {
+            reestimateLogicalStatsBottomUp(child, visited);
+        }
+        reestimateCurrentGroup(group);
+        refreshEnforcerRowCount(group);
+    }
+
+    private void reestimateCurrentGroup(Group group) {
+        List<GroupExpression> estimableExpressions = 
getEstimableLogicalExpressions(group);
+        if (estimableExpressions.isEmpty()) {
+            if (group.getLogicalExpressions().isEmpty()) {
+                reestimatePhysicalOnlyGroup(group);
+            }
+            return;
+        }
+        Statistics originalStatistics = group.getStatistics();
+        Map<GroupExpression, Statistics> candidateStatisticsByExpression = new 
LinkedHashMap<>();
+        for (GroupExpression logicalExpression : estimableExpressions) {
+            List<Statistics> originalChildStatistics = 
replaceChildStatisticsForLogicalEstimation(logicalExpression);
+            group.setStatistics(null);
+            try {
+                estimateStats(logicalExpression);
+            } finally {
+                restoreChildStatistics(logicalExpression, 
originalChildStatistics);
+            }
+            Statistics estimatedStatistics = group.getStatistics();
+            if (estimatedStatistics == null || 
!isValidCandidateStatistics(estimatedStatistics)) {
+                continue;
+            }
+            
logicalExpression.setEstOutputRowCount(estimatedStatistics.getRowCount());
+            candidateStatisticsByExpression.put(logicalExpression, new 
Statistics(estimatedStatistics));
+        }
+        if (candidateStatisticsByExpression.isEmpty()) {
+            group.setStatistics(originalStatistics);
+            return;
+        }
+        LogicalRowCountAggregationPolicy aggregationPolicy = 
getLogicalRowCountAggregationPolicy();
+        Map<GroupExpression, Statistics> 
selectedCandidateStatisticsByExpression = filterCandidateStatisticsByPolicy(
+                aggregationPolicy, candidateStatisticsByExpression);
+        List<Statistics> candidateStatistics = new 
ArrayList<>(selectedCandidateStatisticsByExpression.values());
+        double aggregatedRowCount = 
aggregationPolicy.aggregate(candidateStatistics);
+        Statistics updatedStatistics = resolveUpdatedGroupStatistics(group, 
selectedCandidateStatisticsByExpression,
+                candidateStatistics, aggregatedRowCount, originalStatistics);
+        group.setStatistics(updatedStatistics);
+        repairInvalidLogicalExpressionRowCounts(group, aggregatedRowCount);

Review Comment:
   This sets the aggregated group statistics but leaves `Group.isStatsReliable` 
as the side effect from the last candidate estimated in the loop above. A 
reduced DPHyp group can contain alternatives like:
   
   ```text
   Group{A,B,C}
     LogicalJoin((A join B) join C)   -- predicates have known stats
     LogicalJoin((A join C) join B)   -- predicates include unknown stats
   ```
   
   For each alternative this method clears `group.statistics`, so 
`StatsCalculator.estimate()` writes `ownerGroup.setStatsReliable(...)`. After 
`resolveUpdatedGroupStatistics(...)` picks or aggregates candidates, line 152 
only replaces the stats; the reliability flag still reflects the final 
iteration order, not `updatedStatistics` or the selected candidate set. That 
flag is then read by `CostModel.visitPhysicalHashJoin()` during 
`recomputePhysicalCostsBottomUp()` and by 
`OptimizeGroupExpressionJob.getJoinRules()` after DPHyp, so the copied-out plan 
and follow-up join rules can flip depending on memo insertion order. Please 
preserve reliability per candidate and set the group flag consistently with the 
selected/aggregated stats, conservatively false if any selected candidate is 
unreliable.



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