cryptoe commented on code in PR #16068:
URL: https://github.com/apache/druid/pull/16068#discussion_r1572162264


##########
processing/src/main/java/org/apache/druid/query/groupby/epinephelinae/column/DictionaryBuildingGroupByColumnSelectorStrategy.java:
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@@ -0,0 +1,280 @@
+/*
+ * 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.druid.query.groupby.epinephelinae.column;
+
+import com.google.common.collect.BiMap;
+import com.google.common.collect.HashBiMap;
+import it.unimi.dsi.fastutil.objects.Object2IntMap;
+import org.apache.druid.error.DruidException;
+import org.apache.druid.query.groupby.epinephelinae.DictionaryBuildingUtils;
+import org.apache.druid.segment.column.ColumnType;
+import org.apache.druid.segment.column.NullableTypeStrategy;
+
+import javax.annotation.concurrent.NotThreadSafe;
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Strategy for grouping dimensions which can have variable-width objects, and 
aren't backed by prebuilt dictionaries. It
+ * encapsulates the dictionary building logic, along with providing the 
implementations for dimension to dictionary id
+ * encoding-decoding.
+ * <p>
+ * This strategy can handle any dimension that can be addressed on a 
reverse-dictionary. Reverse dictionary uses
+ * a sorted map, rather than a hashmap.
+ * <p>
+ * This is the most expensive of all the strategies, and hence must be used 
only when other strategies aren't valid.
+ */
+@NotThreadSafe
+public class DictionaryBuildingGroupByColumnSelectorStrategy<DimensionType>
+    extends KeyMappingGroupByColumnSelectorStrategy<DimensionType>
+{
+
+  private DictionaryBuildingGroupByColumnSelectorStrategy(
+      DimensionIdCodec<DimensionType> dimensionIdCodec,
+      ColumnType columnType,
+      NullableTypeStrategy<DimensionType> nullableTypeStrategy,
+      DimensionType defaultValue
+  )
+  {
+    super(dimensionIdCodec, columnType, nullableTypeStrategy, defaultValue);
+  }
+
+  /**
+   * Creates an implementation of the strategy for the given type
+   */
+  public static GroupByColumnSelectorStrategy forType(final ColumnType 
columnType)
+  {
+    if (columnType.equals(ColumnType.STRING)) {
+      // String types are handled specially because they can have multi-value 
dimensions
+      throw DruidException.defensive("Should use special variant which handles 
multi-value dimensions");
+    } else if (
+      // Defensive check, primitives should be using a faster fixed-width 
strategy
+        columnType.equals(ColumnType.DOUBLE)
+        || columnType.equals(ColumnType.FLOAT)
+        || columnType.equals(ColumnType.LONG)) {
+      throw DruidException.defensive("Could used a fixed width strategy");
+    }
+
+    if (ColumnType.STRING_ARRAY.equals(columnType)) {
+      forStringArrays();
+    }
+
+    // Catch-all for all other types, that can only have single-valued 
dimensions
+    return forArrayAndComplexTypes(columnType);
+  }
+
+  /**
+   * Implemenatation of dictionary building strategy for types other than 
strings (since they can be multi-valued and need
+   * to be handled separately) and numeric primitives (since they can be 
handled by fixed-width strategy).
+   * This also means that we handle array and complex types here, which 
simplifies the generics a lot, as everything can be
+   * treated as Object in this class.
+   * <p>
+   * Also, there isn't any concept of multi-values here, therefore Dimension 
== DimensionHolderType == Object. We still
+   * homogenize rogue selectors which can return non-standard implementation 
of arrays (like Long[] for long arrays instead of
+   * Object[]) to what the callers would expect (i.e. Object[] in this case).
+   */
+  private static GroupByColumnSelectorStrategy forArrayAndComplexTypes(final 
ColumnType columnType)
+  {
+    final List<Object> dictionary = DictionaryBuildingUtils.createDictionary();
+    final Object2IntMap<Object> reverseDictionary =
+        
DictionaryBuildingUtils.createReverseDictionary(columnType.getNullableStrategy());
+    return new DictionaryBuildingGroupByColumnSelectorStrategy<>(
+        new UniValueDimensionIdCodec(dictionary, reverseDictionary, 
columnType.getNullableStrategy()),
+        columnType,
+        columnType.getNullableStrategy(),
+        null
+    );
+  }
+
+  private static GroupByColumnSelectorStrategy forStringArrays()
+  {
+    final BiMap<String, Integer> elementBiDictionary = HashBiMap.create();
+    final BiMap<ArrayList<Integer>, Integer> arrayBiDictionary = 
HashBiMap.create();
+    return new DictionaryBuildingGroupByColumnSelectorStrategy<>(
+        new StringArrayDimensionIdCodec(elementBiDictionary, 
arrayBiDictionary),
+        ColumnType.STRING_ARRAY,
+        ColumnType.STRING_ARRAY.getNullableStrategy(),
+        null
+    );
+  }
+
+  private static class UniValueDimensionIdCodec implements 
DimensionIdCodec<Object>
+  {
+    /**
+     * Dictionary for mapping the dimension value to an index. i-th position 
in the dictionary holds the value represented
+     * by the dictionaryId "i".
+     * Therefore, if a value has a dictionary id "i", dictionary.get(i) = value
+     * If a -> 0, b -> 1, c -> 2 (value -> dictionaryId), then the dictionary 
would be laid out like: [a, b, c]
+     */
+    private final List<Object> dictionary;
+
+    /**
+     * Reverse dictionary for faster lookup into the dictionary, and reusing 
pre-existing dictionary ids.
+     * <p>
+     * An entry of form (value, i) in the reverse dictionary represents that 
"value" is present at the i-th location in the
+     * {@link #dictionary}.
+     * Absence of mapping of a "value" (denoted by returning {@link 
GroupByColumnSelectorStrategy#GROUP_BY_MISSING_VALUE})
+     * represents that the value is absent in the dictionary
+     * If a -> 0, b -> 1, c -> 2 (value -> dictionaryId), then the reverse 
dictionary would have the entries (a, 0), (b, 1),
+     * (c, 2)
+     */
+    private final Object2IntMap<Object> reverseDictionary;
+
+    @SuppressWarnings("rawtypes")
+    private final NullableTypeStrategy nullableTypeStrategy;
+
+    public UniValueDimensionIdCodec(
+        final List<Object> dictionary,
+        final Object2IntMap<Object> reverseDictionary,
+        final NullableTypeStrategy nullableTypeStrategy
+    )
+    {
+      this.dictionary = dictionary;
+      this.reverseDictionary = reverseDictionary;

Review Comment:
   I feel the objects should be owned by the code since we are resetting them. 



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