[ 
https://issues.apache.org/jira/browse/FLINK-2533?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14736038#comment-14736038
 ] 

ASF GitHub Bot commented on FLINK-2533:
---------------------------------------

Github user ChengXiangLi commented on a diff in the pull request:

    https://github.com/apache/flink/pull/1110#discussion_r39002786
  
    --- Diff: 
flink-java/src/main/java/org/apache/flink/api/java/sampling/PoissonSampler.java 
---
    @@ -28,11 +29,16 @@
      *
      * @param <T> The type of sample.
      * @see <a 
href="https://en.wikipedia.org/wiki/Poisson_distribution";>https://en.wikipedia.org/wiki/Poisson_distribution</a>
    + * @see <a 
href="http://erikerlandson.github.io/blog/2014/09/11/faster-random-samples-with-gap-sampling/";>Gap
 Sampling</a>
      */
     public class PoissonSampler<T> extends RandomSampler<T> {
        
        private PoissonDistribution poissonDistribution;
        private final double fraction;
    +   private final Random random = new Random();
    --- End diff --
    
    The "random" instance should better to be initialized in constructor method 
and use the seed parameter while available.


> Gap based random sample optimization
> ------------------------------------
>
>                 Key: FLINK-2533
>                 URL: https://issues.apache.org/jira/browse/FLINK-2533
>             Project: Flink
>          Issue Type: Improvement
>          Components: Core
>            Reporter: Chengxiang Li
>            Priority: Minor
>
> For random sampler with fraction, like BernoulliSampler and PoissonSampler, 
> Gap based random sampler could exploit O(k) sample implementation instead of 
> previous O\(n\) sample implementation, it should perform better while sample 
> fraction is very small. [This 
> blog|http://erikerlandson.github.io/blog/2014/09/11/faster-random-samples-with-gap-sampling/]
>  describes more detail about gap based random sampler.



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