xiedeyantu commented on code in PR #4540:
URL: https://github.com/apache/calcite/pull/4540#discussion_r2384378957


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core/src/main/java/org/apache/calcite/rel/metadata/FunctionalDependencySet.java:
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@@ -0,0 +1,420 @@
+/*
+ * 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.calcite.rel.metadata;
+
+import org.apache.calcite.util.ImmutableBitSet;
+
+import com.google.common.collect.ImmutableSet;
+
+import java.util.ArrayDeque;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.Comparator;
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.PriorityQueue;
+import java.util.Queue;
+import java.util.Set;
+
+import static java.util.Objects.requireNonNull;
+
+/**
+ * A set of functional dependencies with closure and minimal cover operations.
+ * This class implements standard algorithms for functional dependency 
reasoning.
+ */
+public class FunctionalDependencySet {
+  // Maximum number of transitive closure iterations to prevent infinite loops
+  public static final int MAX_TRANSITIVE_CLOSURE_LOOPS = 10;
+  // Maximum number of attributes supported in closure computation
+  private static final int MAX_CLOSURE_ATTRS = 10000;
+
+  private final Set<FunctionalDependency> fdSet = new HashSet<>();
+
+  public FunctionalDependencySet() {}
+
+  public FunctionalDependencySet(Set<FunctionalDependency> fds) {
+    this.fdSet.addAll(fds);
+  }
+
+  public void addFD(FunctionalDependency fd) {
+    if (!fd.isTrivial()) {
+      fdSet.add(fd);
+    }
+  }
+
+  public void addFD(ImmutableBitSet determinants, ImmutableBitSet dependents) {
+    addFD(FunctionalDependency.of(determinants, dependents));
+  }
+
+  public void addBidirectionalFD(ImmutableBitSet determinants, ImmutableBitSet 
dependents) {
+    addFD(determinants, dependents);
+    addFD(dependents, determinants);
+  }
+
+  public void addFD(int determinant, int dependent) {
+    addFD(ImmutableBitSet.of(determinant), ImmutableBitSet.of(dependent));
+  }
+
+  public void addBidirectionalFD(int determinant, int dependent) {
+    addFD(ImmutableBitSet.of(determinant), ImmutableBitSet.of(dependent));
+    addFD(ImmutableBitSet.of(dependent), ImmutableBitSet.of(determinant));
+  }
+
+  public void removeFD(FunctionalDependency fd) {
+    fdSet.remove(fd);
+  }
+
+  public Set<FunctionalDependency> getFDs() {
+    return Collections.unmodifiableSet(fdSet);
+  }
+
+  /**
+   * Returns an ImmutableBitSet containing all attribute indexes that appear 
in any FD in the set.
+   */
+  public static ImmutableBitSet allAttributesFromFDs(FunctionalDependencySet 
fds) {
+    ImmutableBitSet.Builder builder = ImmutableBitSet.builder();
+    Set<FunctionalDependency> fdSet = fds.getFDs();
+    for (FunctionalDependency fd : fdSet) {
+      builder.addAll(fd.getDeterminants());
+      builder.addAll(fd.getDependents());
+    }
+    return builder.build();
+  }
+
+  /**
+   * Computes the closure of a set of attributes under this functional 
dependency set.
+   * The closure of X, denoted X+, is the set of all attributes that can be 
functionally
+   * determined by X using the functional dependencies in this set and
+   * <a href="https://en.wikipedia.org/wiki/Armstrong%27s_axioms";>Armstrong's 
axioms</a>
+   *
+   * @param attributes the input attribute set
+   * @return the closure of the input attributes
+   */
+  public ImmutableBitSet closure(ImmutableBitSet attributes) {
+    if (attributes.isEmpty()) {
+      return ImmutableBitSet.of();
+    }
+
+    // For large attribute sets, skip detailed closure computation to avoid 
performance issues
+    // The result may be an over-approximation
+    if (attributes.cardinality() > MAX_CLOSURE_ATTRS) {
+      return ImmutableBitSet.of(attributes);
+    }
+
+    Set<Integer> closureSet = new HashSet<>();
+    Queue<Integer> queue = new ArrayDeque<>();
+    for (int attr : attributes) {
+      closureSet.add(attr);
+      queue.add(attr);
+    }
+
+    Map<FunctionalDependency, Integer> fdMissingCount = new HashMap<>();
+    Map<Integer, List<FunctionalDependency>> attrToFDs = new HashMap<>();
+    for (FunctionalDependency fd : fdSet) {
+      fdMissingCount.put(fd, fd.getDeterminants().cardinality());
+      for (int det : fd.getDeterminants()) {
+        attrToFDs.computeIfAbsent(det, k -> new ArrayList<>()).add(fd);
+      }
+    }
+
+    while (!queue.isEmpty()) {
+      Integer attr =
+          requireNonNull(queue.poll(), "Queue returned null while computing 
closure");
+      List<FunctionalDependency> fds = attrToFDs.get(attr);
+      if (fds == null) {
+        continue;
+      }
+      for (FunctionalDependency fd : fds) {
+        int missing =
+            requireNonNull(fdMissingCount.get(fd), "fdMissingCount returned 
null for FD " + fd);
+        missing = missing - 1;
+        fdMissingCount.put(fd, missing);
+        if (missing == 0) {
+          for (int dep : fd.getDependents()) {
+            if (closureSet.add(dep)) {
+              queue.add(dep);
+            }
+          }
+        }
+      }
+    }
+
+    return ImmutableBitSet.of(closureSet);
+  }
+
+  /**
+   * Check if X determined Y is implied by this FD set.
+   */
+  public boolean implies(ImmutableBitSet determinants, ImmutableBitSet 
dependents) {
+    // Check if there is a direct FD match
+    for (FunctionalDependency fd : fdSet) {
+      if (fd.getDeterminants().equals(determinants)
+          && fd.getDependents().contains(dependents)) {
+        return true;
+      }
+    }
+    return closure(determinants).contains(dependents);
+  }
+
+  /**
+   * Check if a single column is functionally determined by another column.
+   */
+  public boolean determines(int determinant, int dependent) {
+    // Check if there is a direct FD match
+    ImmutableBitSet detSet = ImmutableBitSet.of(determinant);
+    for (FunctionalDependency fd : fdSet) {
+      if (fd.getDeterminants().equals(detSet)
+          && fd.getDependents().get(dependent)) {
+        return true;
+      }
+    }
+    return closure(detSet).get(dependent);
+  }
+
+  /**
+   * Compute the minimal cover of this functional dependency set.
+   * Returns an equivalent set with minimal dependencies.
+   */
+  public FunctionalDependencySet minimalCover() {
+    // Split multi-attribute right sides into single attributes
+    Set<FunctionalDependency> splitFDs = new HashSet<>();
+    for (FunctionalDependency fd : fdSet) {
+      splitFDs.addAll(fd.split());
+    }
+    splitFDs.removeIf(FunctionalDependency::isTrivial);
+
+    // Remove redundant attributes from left sides
+    Set<FunctionalDependency> reducedFDs = new HashSet<>();
+    for (FunctionalDependency fd : splitFDs) {
+      if (fd.getDeterminants().cardinality() <= 1) {
+        reducedFDs.add(fd);
+      } else {
+        FunctionalDependencySet tempSet = new 
FunctionalDependencySet(splitFDs);
+        tempSet.removeFD(fd);
+        reducedFDs.add(reduceLeft(fd, tempSet));
+      }
+    }
+
+    // Remove redundant functional dependencies
+    reducedFDs.removeIf(fd -> {
+      FunctionalDependencySet remainingFDs = new 
FunctionalDependencySet(reducedFDs);
+      remainingFDs.removeFD(fd);
+      return remainingFDs.implies(fd.getDeterminants(), fd.getDependents());
+    });
+
+    return new FunctionalDependencySet(reducedFDs);
+  }
+
+  /**
+   * Reduce left side by removing redundant columns from determinants.
+   */
+  private static FunctionalDependency reduceLeft(FunctionalDependency fd,
+      FunctionalDependencySet fdSet) {
+    ImmutableBitSet determinants = fd.getDeterminants();
+    ImmutableBitSet dependents = fd.getDependents();
+
+    // Try removing each attribute to find minimal determinant set
+    for (int attr : fd.getDeterminants()) {
+      ImmutableBitSet reduced = determinants.clear(attr);
+      if (fdSet.closure(reduced).contains(dependents)) {
+        determinants = reduced;
+      }
+    }
+    return FunctionalDependency.of(determinants, dependents);
+  }
+
+  /**
+   * Check if this FD set is equivalent to another FD set.
+   * Two FD sets are equivalent if they have the same closure for any 
attribute set.

Review Comment:
   Are you asking if the `implies` method calls the `closure`, which might 
return an approximate value, leading to inaccurate `equalTo`? I think the 
current implementation is acceptable. If the number of columns exceeds 
`MAX_CLOSURE_ATTRS`, we return the value directly. This behavior is consistent 
with the `closure`'s processing logic. While theoretically an approximation, it 
can be considered accurate in practice (because the closure's processing logic 
is fixed). If there are many columns, then the values ​​are considered unequal. 
This is also a protection mechanism in the engineering implementation. Do you 
think this is acceptable? Or do you have a better approach to solve this 
problem?



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