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https://issues.apache.org/jira/browse/SOLR-9764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15681560#comment-15681560
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Michael Sun edited comment on SOLR-9764 at 11/20/16 5:49 PM:
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[~elyograg] Thanks for reviewing. The patch was wrong. I uploaded an updated
one. There was a mistake in git command in patch creation. Apologize for it.
For run length encoding, it can be a good direction for further memory
optimization. [~mmokhtar] initially suggested this idea, as mentioned in JIRA
description. I am trying to gather some supporting data meanwhile to justify
the effort and potential risk. Any help would be great.
was (Author: michael.sun):
[~elyograg] Thanks for reviewing. I uploaded an updated patch. There was a
mistake in git command in patch creation. Apologize for it.
For run length encoding, it can be a good direction for further memory
optimization. [~mmokhtar] initially suggested this idea, as mentioned in JIRA
description. I am trying to gather some supporting data meanwhile to justify
the effort and potential risk. Any help would be great.
> 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
>
>
> 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.
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