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https://issues.apache.org/jira/browse/FLINK-7465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16296984#comment-16296984
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ASF GitHub Bot commented on FLINK-7465:
---------------------------------------

Github user sunjincheng121 closed the pull request at:

    https://github.com/apache/flink/pull/4652


> Add build-in BloomFilterCount on TableAPI&SQL
> ---------------------------------------------
>
>                 Key: FLINK-7465
>                 URL: https://issues.apache.org/jira/browse/FLINK-7465
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>            Reporter: sunjincheng
>            Assignee: sunjincheng
>         Attachments: bloomfilter.png
>
>
> In this JIRA. use BloomFilter to implement counting functions.
> BloomFilter Algorithm description:
> An empty Bloom filter is a bit array of m bits, all set to 0. There must also 
> be k different hash functions defined, each of which maps or hashes some set 
> element to one of the m array positions, generating a uniform random 
> distribution. Typically, k is a constant, much smaller than m, which is 
> proportional to the number of elements to be added; the precise choice of k 
> and the constant of proportionality of m are determined by the intended false 
> positive rate of the filter.
> To add an element, feed it to each of the k hash functions to get k array 
> positions. Set the bits at all these positions to 1.
> To query for an element (test whether it is in the set), feed it to each of 
> the k hash functions to get k array positions. If any of the bits at these 
> positions is 0, the element is definitely not in the set – if it were, then 
> all the bits would have been set to 1 when it was inserted. If all are 1, 
> then either the element is in the set, or the bits have by chance been set to 
> 1 during the insertion of other elements, resulting in a false positive.
> An example of a Bloom filter, representing the set {x, y, z}. The colored 
> arrows show the positions in the bit array that each set element is mapped 
> to. The element w is not in the set {x, y, z}, because it hashes to one 
> bit-array position containing 0. For this figure, m = 18 and k = 3. The 
> sketch as follows:
> !bloomfilter.png!
> Reference:
> 1. https://en.wikipedia.org/wiki/Bloom_filter
> 2. 
> https://github.com/apache/hive/blob/master/storage-api/src/java/org/apache/hive/common/util/BloomFilter.java
> Hi [~fhueske] [~twalthr] I appreciated if you can give me some advice. :-)



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