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From "Yonatan Gottesman (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-11829) Improve the vector size of Bloom Filter from int to long, and storage from memory to disk
Date Thu, 25 May 2017 07:25:04 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-11829?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16024339#comment-16024339

Yonatan Gottesman commented on HADOOP-11829:

Hi thanks,
What exactly do you mean by "split the bit data"?  do you load the relevant part for each

> Improve the vector size of Bloom Filter from int to long, and storage from memory to
> -----------------------------------------------------------------------------------------
>                 Key: HADOOP-11829
>                 URL: https://issues.apache.org/jira/browse/HADOOP-11829
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: util
>            Reporter: Hongbo Xu
>            Assignee: Hongbo Xu
>            Priority: Minor
>   Original Estimate: 168h
>  Remaining Estimate: 168h
> org.apache.hadoop.util.bloom.BloomFilter(int vectorSize, int nbHash, int hashType) 
> This filter almost can insert 900 million objects, when False Positives Probability is
0.0001, and it needs 2.1G RAM.
> In My project, I needs established a filter which capacity is 2 billion, and it needs
4.7G RAM, the vector size is 38340233509, out the range of int, and I does not have so much
RAM to do this, so I rebuild a big bloom filter which vector size type is long, and split
the bit data to some files on disk, then distribute files to work node, and the performance
is very good.
> I think I can contribute this code to Hadoop Common, and a 128-bit Hash function (MurmurHash)

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