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https://issues.apache.org/jira/browse/SOLR-2564?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13046091#comment-13046091
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Yonik Seeley commented on SOLR-2564:
------------------------------------
bq. Another option is to allow the grouping module (separately from Lucene
core) to use Java 6 code
+1
bq. Yonik, how do you create the index used for this test? Somehow you generate
an int field w/ random 1000 unique values – do you have a client-side script
you use to create random docs in Solr?
I have some CSV files laying around that I reuse for ad-hoc testing of a lot of
stuff. They were created with a simple python script.
Then I simply index with
{code}
URL=http://localhost:8983/solr
curl "$URL/update/csv?stream.url=file:/tmp/test.csv&overwrite=false&commit=true"
{code}
It was also my first reaction to think that this is a very synthetic case that
people are unlikely to hit... until I thought about dates. Indexing everything
in date order is a pretty common thing to do, and so is sorting by date - which
hits the exact same case. Queries of *:* and simple filter queries on type,
etc, also tend to be pretty common (i.e. full-text relevance/performance
actually isn't an important feature for some users).
How complex must queries be for caching to generate a net benefit under load? I
haven't tried to test this myself.
> Integrating grouping module into Solr 4.0
> -----------------------------------------
>
> Key: SOLR-2564
> URL: https://issues.apache.org/jira/browse/SOLR-2564
> Project: Solr
> Issue Type: Improvement
> Reporter: Martijn van Groningen
> Assignee: Martijn van Groningen
> Fix For: 4.0
>
> Attachments: LUCENE-2564.patch, SOLR-2564.patch, SOLR-2564.patch,
> SOLR-2564.patch, SOLR-2564.patch, SOLR-2564.patch
>
>
> Since work on grouping module is going well. I think it is time to wire this
> up in Solr.
> Besides the current grouping features Solr provides, Solr will then also
> support second pass caching and total count based on groups.
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