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Posted to commits@druid.apache.org by GitBox <gi...@apache.org> on 2021/11/15 11:46:38 UTC

[GitHub] [druid] wangxiaobaidu11 opened a new pull request #11920: Long unique extension function for precise count distinct

wangxiaobaidu11 opened a new pull request #11920:
URL: https://github.com/apache/druid/pull/11920


   Precise count distinct recalculation can be performed for numeric types
   
   ![Uploading image.png…]()
   


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[GitHub] [druid] wangxiaobaidu11 commented on pull request #11920: Long unique extension function for precise count distinct

Posted by GitBox <gi...@apache.org>.
wangxiaobaidu11 commented on pull request #11920:
URL: https://github.com/apache/druid/pull/11920#issuecomment-982272744


   > Hi, @wangxiaobaidu11 . There was a failure in Travis, which was caused by the lack of a declaration of this new module in the root pom file, as follows:
   > 
   > ```
   > <module>extensions-contrib/long-unique</module>
   > ```
   > 
   > Please add it to pass the CI system before further code review. FYI, https://github.com/apache/druid/blob/master/pom.xml#L200
   
   thank you! I changed it recently


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[GitHub] [druid] wangxiaobaidu11 commented on pull request #11920: Long unique extension function for precise count distinct

Posted by GitBox <gi...@apache.org>.
wangxiaobaidu11 commented on pull request #11920:
URL: https://github.com/apache/druid/pull/11920#issuecomment-982273694


   > @wangxiaobaidu11 Thanks for your contribution. I think it's a useful aggregator to count distinct on Long dimensions. Could you add a benchmark test to see the performance of this new aggregator?
   
   thank you!I will add bench Mark


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[GitHub] [druid] FrankChen021 commented on pull request #11920: Long unique extension function for precise count distinct

Posted by GitBox <gi...@apache.org>.
FrankChen021 commented on pull request #11920:
URL: https://github.com/apache/druid/pull/11920#issuecomment-976364450


   @wangxiaobaidu11 Thanks for your contribution. I think it's a useful aggregator to count distinct on Long dimensions. Could you add a benchmark test to see the performance of this new aggregator?


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