You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@solr.apache.org by "Cassandra Targett (Jira)" <ji...@apache.org> on 2021/08/13 21:07:00 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 ]
Cassandra Targett updated SOLR-12178:
-------------------------------------
Component/s: streaming expressions
> Improve efficiency of distributed random sampling
> -------------------------------------------------
>
> Key: SOLR-12178
> URL: https://issues.apache.org/jira/browse/SOLR-12178
> Project: Solr
> Issue Type: Improvement
> Components: streaming expressions
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
> Fix For: 8.1, main (9.0)
>
>
> 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.
> When combined with SOLR-12159 this will allow for much larger random samples.
>
>
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@solr.apache.org
For additional commands, e-mail: issues-help@solr.apache.org