[jira] [Commented] (SOLR-12483) Trend based suggestions

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[jira] [Commented] (SOLR-12483) Trend based suggestions

JIRA jira@apache.org

    [ https://issues.apache.org/jira/browse/SOLR-12483?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16511352#comment-16511352 ]

Andrzej Bialecki  commented on SOLR-12483:

To make it clear, this issue is about recommending (not executing) possible optimizations to the cluster. This is different that what triggers do, which is to detect and execute (control) actions to keep cluster parameters to fit within configured bounds.

Trend detection is a complex topic in general so we probably should not work any any sophisticated solutions in Solr for this - we have the metrics history API (SOLR-11779) so that external tools can analyze this data and implement their own rules and trend detection, and decide on possible optimizations (eg. "add more replicas on Fridays").

Solr may provide only some basic trend detection, eg. linear regression for detecting monotonic trends, and Fourier transform for detecting cyclic trends.

> Trend based suggestions
> -----------------------
>                 Key: SOLR-12483
>                 URL: https://issues.apache.org/jira/browse/SOLR-12483
>             Project: Solr
>          Issue Type: Sub-task
>      Security Level: Public(Default Security Level. Issues are Public)
>            Reporter: Noble Paul
>            Priority: Major
> A cluster may be perfectly fine now and it may not be so in the future. It is possible to extrapolate past trends to predict the future state certain values.  Solr can make recommendations to
>  * Move replica
>  * Add node 
> based on these projections
> We can use SOLR-11779 to see the historic trend for various values such as {{freedisk}} , {{queries per second}} , {{index size}} etc . it is possible to extrapolate the future values and make recommendations

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