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Posted to dev@lucene.apache.org by "Andrzej Bialecki (JIRA)" <ji...@apache.org> on 2018/06/12 21:08:00 UTC
[jira] [Reopened] (SOLR-11779) Basic long-term collection of
aggregated metrics
[ https://issues.apache.org/jira/browse/SOLR-11779?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrzej Bialecki reopened SOLR-11779:
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> Basic long-term collection of aggregated metrics
> ------------------------------------------------
>
> Key: SOLR-11779
> URL: https://issues.apache.org/jira/browse/SOLR-11779
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Components: metrics
> Affects Versions: 7.3, master (8.0)
> Reporter: Andrzej Bialecki
> Assignee: Andrzej Bialecki
> Priority: Major
> Fix For: 7.4, master (8.0)
>
> Attachments: SOLR-11779.patch, SOLR-11779.patch, SOLR-11779.patch, SOLR-11779.patch, c1.png, c2.png, core.json, d1.png, d2.png, d3.png, jvm-list.json, jvm-string.json, jvm.json, o1.png, u1.png
>
>
> Tracking the key metrics over time is very helpful in understanding the cluster and user behavior.
> Currently even basic metrics tracking requires setting up an external system and either polling {{/admin/metrics}} or using {{SolrMetricReporter}}-s. The advantage of this setup is that these external tools usually provide a lot of sophisticated functionality. The downside is that they don't ship out of the box with Solr and require additional admin effort to set up.
> Solr could collect some of the key metrics and keep their historical values in a round-robin database (eg. using RRD4j) to keep the size of the historic data constant (eg. ~64kB per metric), but at the same providing out of the box useful insights into the basic system behavior over time. This data could be persisted to the {{.system}} collection as blobs, and it could be also presented in the Admin UI as graphs.
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