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https://issues.apache.org/jira/browse/FLINK-10993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16700506#comment-16700506
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Stephan Ewen commented on FLINK-10993:
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If I understand the feature proposal correctly, the use of state is not the
only part. other parts would be also how the building/merging works.
Further more, should this work only for batch, for streaming, for both?
> Bring bloomfilter as a public API
> ---------------------------------
>
> Key: FLINK-10993
> URL: https://issues.apache.org/jira/browse/FLINK-10993
> Project: Flink
> Issue Type: New Feature
> Components: DataStream API
> Reporter: vinoyang
> Assignee: vinoyang
> Priority: Major
>
> Flink internally provides an implementation of BloomFilter, but only for
> internal optimization, and does not provide APIs for public access.
> Here is a user mail discussion before :
> http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Bloom-filter-in-Flink-td10608.html
> Considering that many users have the need to "determine duplicates" in
> streaming computing, I think it would make sense to provide such an API.
> In addition, Spark has provided BloomFilter as a public API :
> {code:java}
> val bf = df.stat.bloomFilter("dd",dataLen,0.01)
> val rightNum = rdd.map(x=>(x.toInt,bf.mightContainString(x)))
> {code}
>
>
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