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https://issues.apache.org/jira/browse/SOLR-13933?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ishan Chattopadhyaya updated SOLR-13933:
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    Description: 
We need a stress test harness based on 10s or 100s of nodes, 1000s of 
collection API operations, overseer operations etc. This suite should run 
nightly, publish results publicly, so as to help with:
# Uncover stability problems
# Benchmarking (timings, resource metrics etc.) on collection operations
# Indexing/querying performance
# Validate the accuracy of potential improvements

References:
SOLR-10317
https://github.com/lucidworks/solr-scale-tk
https://github.com/shalinmangar/solr-perf-tools
Lucene benchmarks

  was:
We need a stress test harness based on 10s or 100s of nodes, 1000s of 
collection API operations, overseer operations etc. This suite should run 
nightly and help with:
# Uncover stability problems
# Benchmarking (timings, resource metrics etc.) on collection operations
# Indexing/querying performance
# Validate the accuracy of potential improvements

References:
SOLR-10317
https://github.com/lucidworks/solr-scale-tk
https://github.com/shalinmangar/solr-perf-tools
Lucene benchmarks


> Cluster mode Stress test suite 
> -------------------------------
>
>                 Key: SOLR-13933
>                 URL: https://issues.apache.org/jira/browse/SOLR-13933
>             Project: Solr
>          Issue Type: Bug
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Ishan Chattopadhyaya
>            Assignee: Ishan Chattopadhyaya
>            Priority: Major
>
> We need a stress test harness based on 10s or 100s of nodes, 1000s of 
> collection API operations, overseer operations etc. This suite should run 
> nightly, publish results publicly, so as to help with:
> # Uncover stability problems
> # Benchmarking (timings, resource metrics etc.) on collection operations
> # Indexing/querying performance
> # Validate the accuracy of potential improvements
> References:
> SOLR-10317
> https://github.com/lucidworks/solr-scale-tk
> https://github.com/shalinmangar/solr-perf-tools
> Lucene benchmarks



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