Jackie-Jiang commented on pull request #7076:
URL: https://github.com/apache/incubator-pinot/pull/7076#issuecomment-865223114


   @tdunning Thanks for the explanation.
   Yes we randomly generate 100,000 t-digest objects, each constructed from 2 
random integers of range [0, 10,000). The difference between star-tree vs 
non-star-tree is just the merging order of these 100,000 t-digest objects, and 
eventually we will merge all the t-digest objects into one. Then we compare the 
result of quantile 0%, 1%, ..., 99%, 100% and check the difference of the 
results from the 2 merged t-digests.
   With compression 200, I can still observe difference over 100 from the 2 
t-digests (over 1%). While with the old version (3.2), the difference is always 
smaller than 50 (0.5%). Is this expected? I feel the new version somehow has 
worse accuracy than the old version


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