stefanvodita commented on code in PR #13914:
URL: https://github.com/apache/lucene/pull/13914#discussion_r1817832373


##########
lucene/facet/src/java/org/apache/lucene/facet/range/DynamicRangeUtil.java:
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@@ -202,66 +208,83 @@ public SegmentOutput(int hitsLength) {
    *     is used to compute the equi-weight per bin.
    */
   public static List<DynamicRangeInfo> computeDynamicNumericRanges(
-      long[] values, long[] weights, int len, long totalWeight, int topN) {
+      long[] values, long[] weights, int len, long totalValue, long 
totalWeight, int topN) {
     assert values.length == weights.length && len <= values.length && len >= 0;
     assert topN >= 0;
     List<DynamicRangeInfo> dynamicRangeResult = new ArrayList<>();
     if (len == 0 || topN == 0) {
       return dynamicRangeResult;
     }
 
-    new InPlaceMergeSorter() {
-      @Override
-      protected int compare(int index1, int index2) {
-        int cmp = Long.compare(values[index1], values[index2]);
-        if (cmp == 0) {
-          // If the values are equal, sort based on the weights.
-          // Any weight order is correct as long as it's deterministic.
-          return Long.compare(weights[index1], weights[index2]);
-        }
-        return cmp;
-      }
+    double rangeWeightTarget = (double) totalWeight / topN;
+    double[] kWeights = new double[topN];
+    for (int i = 0; i < topN; i++) {
+      kWeights[i] = (i == 0 ? 0 : kWeights[i - 1]) + rangeWeightTarget;

Review Comment:
   I thought maybe you wanted to avoid the multiplications 😄 
   Which would be fair, my guess is the second one is faster because we're only 
doing sums and referencing values in the array that are cached.



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