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https://issues.apache.org/jira/browse/SOLR-13494?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16851067#comment-16851067
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ASF subversion and git services commented on SOLR-13494:
--------------------------------------------------------

Commit 91de31e5afbee829e5f0c7ff3cf8321c3e219800 in lucene-solr's branch 
refs/heads/branch_8x from Joel Bernstein
[ https://gitbox.apache.org/repos/asf?p=lucene-solr.git;h=91de31e ]

SOLR-13494: Add DeepRandomStream implementation


> Add DeepRandomStream implementation
> -----------------------------------
>
>                 Key: SOLR-13494
>                 URL: https://issues.apache.org/jira/browse/SOLR-13494
>             Project: Solr
>          Issue Type: Improvement
>      Security Level: Public(Default Security Level. Issues are Public) 
>          Components: streaming expressions
>            Reporter: Joel Bernstein
>            Assignee: Joel Bernstein
>            Priority: Major
>         Attachments: SOLR-13494.patch, SOLR-13494.patch, Screen Shot 
> 2019-05-28 at 4.50.54 PM.png
>
>
> Currently the *random* Streaming Expression performs a conventional 
> distributed search. This involves retrieving the top N docs from each shard 
> and then selecting the top N from all the shards in the aggregator node. This 
> technique eventually bogs down as the number of shards goes up and/or N goes 
> up. 
> Selecting distributed random samples does not actually require this behavior. 
> Instead you can select N/numShards from each shard and simply return all 
> results. This technique will actually get faster as more shards are added 
> instead of slowing down.
> This ticket will allow the random Streaming Expression to use the strategy 
> above when N reaches a certain threshold (ie 10000). 
> The *DeepRandomStream* class will implement the deep random sampling behavior.
> The random Streaming Expression will switch between the RandomStream and 
> DeepRandomStream depending on N.
> *Performance*
> Local testing shows astounding performance on random sampling with the new 
> technique. 
> Selecting a random sample of *250,000* documents with two numeric fields and 
> running a regression analysis on the sample set takes *under a second*. 
> Attached is a screen shot with the math expression code.
>  
>  
>  



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