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https://issues.apache.org/jira/browse/SOLR-8393?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17276715#comment-17276715
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Isabelle Giguere commented on SOLR-8393:
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New patch, off current master
Parameter 'sizeUnit' is supported for both the SizeComponent, and ClusterSizing.
If parameter 'sizeUnit' is present, values will be output as 'double',
according to the chosen size unit.
Value of 'estimated-num-docs' remains a 'long'.
Default behavior, if 'sizeUnit' is not present is the human-readable format.
Valid values for 'sizeUnit' are : GB, MB, KB, bytes
**********
Note about the implementation :
ClusterSizing calls the SizeComponent via HTTP. So the returned results per
collection are already formatted according to 'sizeUnit' (or lack of it). As a
consequence, ClusterSizing needs to toggle back and forth between
human-readable values, and raw long values, to support the requested 'sizeUnit'.
I don't know how we could intercept the SizeComponent response, and receive
just the long values, to make the conversion to some 'sizeUnit' just once in
ClusterSizing, while keeping the formatting in SizeComponent, for use cases
that would call it directly.
A response transformer ? Would that be the right approach ?
> Component for Solr resource usage planning
> ------------------------------------------
>
> Key: SOLR-8393
> URL: https://issues.apache.org/jira/browse/SOLR-8393
> Project: Solr
> Issue Type: Improvement
> Reporter: Steve Molloy
> Priority: Major
> Attachments: SOLR-8393.patch, SOLR-8393.patch, SOLR-8393.patch,
> SOLR-8393.patch, SOLR-8393.patch, SOLR-8393.patch, SOLR-8393.patch,
> SOLR-8393.patch, SOLR-8393.patch, SOLR-8393_tag_7.5.0.patch
>
>
> One question that keeps coming back is how much disk and RAM do I need to run
> Solr. The most common response is that it highly depends on your data. While
> true, it makes for frustrated users trying to plan their deployments.
> The idea I'm bringing is to create a new component that will attempt to
> extrapolate resources needed in the future by looking at resources currently
> used. By adding a parameter for the target number of documents, current
> resources are adapted by a ratio relative to current number of documents.
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