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https://issues.apache.org/jira/browse/FLINK-10993?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16700232#comment-16700232
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Fabian Hueske commented on FLINK-10993:
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Thanks for your offer to help with this effort [~yanghua].
I think before we start picking up this issue (or FLINK-8601) again, we need to
find a committer who agrees to work on this.
This is not a small feature and will require a considerable amount of time.
Without committer commitment to shepherd the feature, working on a new PR (or
updating the existing PR for FLINK-8601) is very likely lost effort.
This is especially important if the scope of the feature has not been
thoroughly discussed before.
> 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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