swuferhong commented on code in PR #21530:
URL: https://github.com/apache/flink/pull/21530#discussion_r1065381018


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flink-table/flink-table-planner/src/main/java/org/apache/flink/table/planner/plan/rules/logical/FlinkBushyJoinReorderRule.java:
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@@ -0,0 +1,620 @@
+/*
+ * 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.flink.table.planner.plan.rules.logical;
+
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.table.planner.plan.cost.FlinkCost;
+
+import org.apache.calcite.plan.RelOptCost;
+import org.apache.calcite.plan.RelOptRuleCall;
+import org.apache.calcite.plan.RelOptUtil;
+import org.apache.calcite.plan.RelRule;
+import org.apache.calcite.rel.RelNode;
+import org.apache.calcite.rel.core.Join;
+import org.apache.calcite.rel.core.JoinRelType;
+import org.apache.calcite.rel.core.RelFactories;
+import org.apache.calcite.rel.metadata.RelMetadataQuery;
+import org.apache.calcite.rel.rules.LoptMultiJoin;
+import org.apache.calcite.rel.rules.MultiJoin;
+import org.apache.calcite.rel.rules.TransformationRule;
+import org.apache.calcite.rel.type.RelDataTypeField;
+import org.apache.calcite.rex.RexBuilder;
+import org.apache.calcite.rex.RexCall;
+import org.apache.calcite.rex.RexInputRef;
+import org.apache.calcite.rex.RexNode;
+import org.apache.calcite.rex.RexShuttle;
+import org.apache.calcite.tools.RelBuilder;
+import org.apache.calcite.tools.RelBuilderFactory;
+import org.apache.calcite.util.ImmutableBitSet;
+
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.LinkedHashMap;
+import java.util.LinkedHashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+import java.util.Set;
+
+import static java.util.Objects.requireNonNull;
+
+/**
+ * Flink bushy join reorder rule, which will convert {@link MultiJoin} to a 
bushy join tree.
+ *
+ * <p>In this bushy join reorder strategy, we will first try to reorder all 
the inner join type
+ * inputs in the multiJoin, and then add all outer join type inputs on the top.
+ *
+ * <p>First, reordering all the inner join type inputs in the multiJoin. We 
adopt the concept of
+ * level in dynamic programming, and the latter layer will use the results 
stored in the previous
+ * layers. First, we put all inputs (each input in {@link MultiJoin}) into 
level 0, then we build
+ * all two-inputs join at level 1 based on the {@link FlinkCost} of level 0, 
then we will build
+ * three-inputs join based on the previous two levels, then four-inputs joins 
... etc, util we
+ * reorder all the inner join type inputs in the multiJoin. When building 
m-inputs join, we only
+ * keep the best plan (have the lowest {@link FlinkCost}) for the same set of 
m inputs. E.g., for
+ * three-inputs join, we keep only the best plan for inputs {A, B, C} among 
plans (A J B) J C, (A J
+ * C) J B, (B J C) J A.
+ *
+ * <p>Second, we will add all outer join type inputs in the MultiJoin on the 
top.

Review Comment:
   > it's better we can add more comments about left/right/full case
   
   Done!



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