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https://issues.apache.org/jira/browse/SOLR-16758?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17718111#comment-17718111
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Kira Traynor commented on SOLR-16758:
-------------------------------------
Thanks for the response! I've attached the patch to the ticket that I applied
and did testing on to get the difference in query latencies. I wanted to get
some concrete examples that I could actually share with a valid test and that
you could reproduce.
To test, I created local instances of solr (one with the current version of
solr and the other with the patch) and indexed 2 million documents and was
comparing the results with the following query:
{code:java}
{!graph from=node_s to=edge_ss maxDepth=1 v='*:*'}{code}
In the patch I included a performance test within org.apache.solr.search.join
called testGraphQueryPerformance(). The createGraphIndex() method generates a
test index with an id, a node, and an edge value to be able to be queried with
the graph query. To create the index on the local instances of solr, I
generated documents using the same method.
Running performance tests against the local instances of solr, I found that the
changes to the graph query produced distinct differences (on average ~20%
faster).
> GraphQuery Performing Slower in Solr 9
> --------------------------------------
>
> Key: SOLR-16758
> URL: https://issues.apache.org/jira/browse/SOLR-16758
> Project: Solr
> Issue Type: Bug
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Kira Traynor
> Priority: Major
> Attachments: GraphQuery.patch
>
>
> We found that the changes made in SOLR-14185 with the GraphQuery slowed down
> the performance of the graph join by around 50%. Reverting the changes made
> in that pr to use a `Filter` object to get the `DocIdSet` rather than using a
> `DocIdSetIterator`, sped the query times up in our tests to be more similar
> to what we were seeing with the Solr 8 graph joins.
> The same change was made to the JoinQuery class so possibly slower
> performance can be found there as well.
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