[ 
https://issues.apache.org/jira/browse/SOLR-9764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15713723#comment-15713723
 ] 

Yonik Seeley commented on SOLR-9764:
------------------------------------

Since Solr DocSets don't currently match deleted documents, even a single 
deletion in the index would circumvent this optimization.

Also, note that "all non-deleted docs" is a special case that is cached if 
requested... see SolrIndexSearcher.getLiveDocs() (this is used in a few places).
So another optimization (inspired by Michael's insight into  the size==maxDoc 
case) would be: if the DocSet just produced has size==numDocs, then just use 
liveDocs.  This would have the effect of making all queries that map onto all 
documents share the resulting DocSet (as well as working when there were 
deleted docs in the index).

Whether it's worth trying to compress that single set (and the best way to do 
it) is an independent decision.

> Design a memory efficient DocSet if a query returns all docs
> ------------------------------------------------------------
>
>                 Key: SOLR-9764
>                 URL: https://issues.apache.org/jira/browse/SOLR-9764
>             Project: Solr
>          Issue Type: Improvement
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Michael Sun
>         Attachments: SOLR-9764.patch, SOLR-9764.patch, SOLR-9764.patch, 
> SOLR-9764.patch, SOLR-9764.patch, SOLR_9764_no_cloneMe.patch
>
>
> In some use cases, particularly use cases with time series data, using 
> collection alias and partitioning data into multiple small collections using 
> timestamp, a filter query can match all documents in a collection. Currently 
> BitDocSet is used which contains a large array of long integers with every 
> bits set to 1. After querying, the resulted DocSet saved in filter cache is 
> large and becomes one of the main memory consumers in these use cases.
> For example. suppose a Solr setup has 14 collections for data in last 14 
> days, each collection with one day of data. A filter query for last one week 
> data would result in at least six DocSet in filter cache which matches all 
> documents in six collections respectively.   
> This is to design a new DocSet that is memory efficient for such a use case.  
> The new DocSet removes the large array, reduces memory usage and GC pressure 
> without losing advantage of large filter cache.
> In particular, for use cases when using time series data, collection alias 
> and partition data into multiple small collections using timestamp, the gain 
> can be large.
> For further optimization, it may be helpful to design a DocSet with run 
> length encoding. Thanks [~mmokhtar] for suggestion. 



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org
For additional commands, e-mail: dev-h...@lucene.apache.org

Reply via email to