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https://issues.apache.org/jira/browse/SOLR-10317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16115745#comment-16115745
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Ishan Chattopadhyaya commented on SOLR-10317:
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*Kindly*, be specific in your status reports. Phrases like "new QPS calculation
logic" or "bugs fixed" have no meaning unless you link to a Github issue
describing your "new .. logic" or the exact bugs you fixed. Ideally, those
issues should be linked to your exact commits for fixing/implementing them.
Also, please fix the following parameter names:
--commit-id could be as simple as --commit, --test-with-number-of-documents
could be as simple as --num-docs, --use-sample-dataset could be as simple as
--sample
Also, what is the difference between --use-sample-dataset and
--test-with-number-of-documents? Does the latter only control the index size?
This description,
{code}
* --use-sample-dataset X.XX Use this option when you want to
work in dev-mode (i.e while enhancing
/debugging this project.).
Please also pass a value in the range 0.01 to 1
with this parameter. This value
is the percentage of data set that is used
in this mode.
{code}
could be:
{code}
* --use-sample-dataset X.XX This value (0 - 1.0) is the
fraction of dataset & queries used for indexing and querying. Useful in
dev-mode. Default value, when this parameter is not specified, is 1.0
{code}
> Solr Nightly Benchmarks
> -----------------------
>
> Key: SOLR-10317
> URL: https://issues.apache.org/jira/browse/SOLR-10317
> Project: Solr
> Issue Type: Task
> Reporter: Ishan Chattopadhyaya
> Labels: gsoc2017, mentor
> Attachments: changes-lucene-20160907.json,
> changes-solr-20160907.json, managed-schema,
> Narang-Vivek-SOLR-10317-Solr-Nightly-Benchmarks.docx,
> Narang-Vivek-SOLR-10317-Solr-Nightly-Benchmarks-FINAL-PROPOSAL.pdf,
> Screenshot from 2017-07-30 20-30-05.png, SOLR-10317.patch, SOLR-10317.patch,
> solrconfig.xml
>
>
> Solr needs nightly benchmarks reporting. Similar Lucene benchmarks can be
> found here, https://home.apache.org/~mikemccand/lucenebench/.
> Preferably, we need:
> # A suite of benchmarks that build Solr from a commit point, start Solr
> nodes, both in SolrCloud and standalone mode, and record timing information
> of various operations like indexing, querying, faceting, grouping,
> replication etc.
> # It should be possible to run them either as an independent suite or as a
> Jenkins job, and we should be able to report timings as graphs (Jenkins has
> some charting plugins).
> # The code should eventually be integrated in the Solr codebase, so that it
> never goes out of date.
> There is some prior work / discussion:
> # https://github.com/shalinmangar/solr-perf-tools (Shalin)
> # https://github.com/chatman/solr-upgrade-tests/blob/master/BENCHMARKS.md
> (Ishan/Vivek)
> # SOLR-2646 & SOLR-9863 (Mark Miller)
> # https://home.apache.org/~mikemccand/lucenebench/ (Mike McCandless)
> # https://github.com/lucidworks/solr-scale-tk (Tim Potter)
> There is support for building, starting, indexing/querying and stopping Solr
> in some of these frameworks above. However, the benchmarks run are very
> limited. Any of these can be a starting point, or a new framework can as well
> be used. The motivation is to be able to cover every functionality of Solr
> with a corresponding benchmark that is run every night.
> Proposing this as a GSoC 2017 project. I'm willing to mentor, and I'm sure
> [~shalinmangar] and [[email protected]] would help here.
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