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https://issues.apache.org/jira/browse/SOLR-7543?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14546031#comment-14546031
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Kevin Watters commented on SOLR-7543:
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[~steff1193] My mantra here is relates to something I heard once. ??"A graph
is a filter on top of your data."-someone?? So, I'm offering this
implementation up to solve that use case. Analytics on top of that graph would
be acheived via faceting or streaming aggregation. Maybe there's something
that Titan could leverage from this implementation? There are some starting
plans on doing a distributed version of this query operator.
[~dpgove] Interesting syntax. The usecase of children > 4 isn't currently
supported in my impl. My impl doesn't have any history of the paths through
the graph. It only has the bitset that represents the matched documents. I
wanted to keep it as lean as possible. We could start keeping around
additional data structures during the traversal to count, but that can get very
expensive very quickly. My goal/desire here is to keep the memory usage to one
bitset.
> Create GraphQuery that allows graph traversal as a query operator.
> ------------------------------------------------------------------
>
> Key: SOLR-7543
> URL: https://issues.apache.org/jira/browse/SOLR-7543
> Project: Solr
> Issue Type: New Feature
> Components: search
> Reporter: Kevin Watters
> Priority: Minor
>
> I have a GraphQuery that I implemented a long time back that allows a user to
> specify a "startQuery" to identify which documents to start graph traversal
> from. It then gathers up the edge ids for those documents , optionally
> applies an additional filter. The query is then re-executed continually
> until no new edge ids are identified. I am currently hosting this code up at
> https://github.com/kwatters/solrgraph and I would like to work with the
> community to get some feedback and ultimately get it committed back in as a
> lucene query.
> Here's a bit more of a description of the parameters for the query / graph
> traversal:
> q - the initial start query that identifies the universe of documents to
> start traversal from.
> fromField - the field name that contains the node id
> toField - the name of the field that contains the edge id(s).
> traversalFilter - this is an additional query that can be supplied to limit
> the scope of graph traversal to just the edges that satisfy the
> traversalFilter query.
> maxDepth - integer specifying how deep the breadth first search should go.
> returnStartNodes - boolean to determine if the documents that matched the
> original "q" should be returned as part of the graph.
> onlyLeafNodes - boolean that filters the graph query to only return
> documents/nodes that have no edges.
> We identify a set of documents with "q" as any arbitrary lucene query. It
> will collect the values in the fromField, create an OR query with those
> values , optionally apply an additional constraint from the "traversalFilter"
> and walk the result set until no new edges are detected. Traversal can also
> be stopped at N hops away as defined with the maxDepth. This is a BFS
> (Breadth First Search) algorithm. Cycle detection is done by not revisiting
> the same document for edge extraction.
> This query operator does not keep track of how you arrived at the document,
> but only that the traversal did arrive at the document.
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