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Posted to dev@lucene.apache.org by "Joel Bernstein (JIRA)" <ji...@apache.org> on 2018/04/03 12:11:00 UTC
[jira] [Updated] (SOLR-12178) Improve efficiency of distributed
random sampling
[ https://issues.apache.org/jira/browse/SOLR-12178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joel Bernstein updated SOLR-12178:
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Summary: Improve efficiency of distributed random sampling (was: Improve efficiency of random sampling)
> Improve efficiency of distributed random sampling
> -------------------------------------------------
>
> Key: SOLR-12178
> URL: https://issues.apache.org/jira/browse/SOLR-12178
> Project: Solr
> Issue Type: Improvement
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
> Fix For: 7.4
>
>
> Currently the *random* Streaming Expression performs a distributed random sampling using *CloudSolrClient*. This means that a random sample of *N* docs from each shard is read into memory on the aggregator node and then a page of *N* docs is created from the samples from each shard. Reading all the samples from the shards into memory in the aggregator node means the memory consumption for random sampling grows as a function of: N*numshards. This clearly limits both N and numshards.
> This ticket will change the random sampling approach to an approach similar to the one used in CloudSolrStream where a stream is generated from the shards without reading all the documents into memory.
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