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https://issues.apache.org/jira/browse/SOLR-8925?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15266797#comment-15266797
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ASF subversion and git services commented on SOLR-8925:
-------------------------------------------------------

Commit 62a28dd0c7dc8f41e43d5c37e28c968556b8e9d2 in lucene-solr's branch 
refs/heads/master from jbernste
[ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=62a28dd ]

SOLR-8986, SOLR-8925, SOLR-9027: Update CHANGES.txt


> Add gatherNodes Streaming Expression to support breadth first traversals
> ------------------------------------------------------------------------
>
>                 Key: SOLR-8925
>                 URL: https://issues.apache.org/jira/browse/SOLR-8925
>             Project: Solr
>          Issue Type: New Feature
>            Reporter: Joel Bernstein
>            Assignee: Joel Bernstein
>             Fix For: 6.1
>
>         Attachments: SOLR-8925.patch, SOLR-8925.patch, SOLR-8925.patch, 
> SOLR-8925.patch, SOLR-8925.patch, SOLR-8925.patch, SOLR-8925.patch, 
> SOLR-8925.patch
>
>
> The gatherNodes Streaming Expression is a flexible general purpose breadth 
> first graph traversal. It uses the same parallel join under the covers as 
> (SOLR-8888) but is much more generalized and can be used for a wide range of 
> use cases.
> Sample syntax:
> {code}
>  gatherNodes(friends,
>              gatherNodes(friends,
>                          search(articles, q=“body:(queryA)”, fl=“author”),
>                          walk ="author->user”,
>                          gather="friend"),
>              walk=“friend->user”,
>              gather="friend",
>              scatter=“branches, leaves”)
> {code}
> The expression above is evaluated as follows:
> 1) The inner search() expression is evaluated on the *articles* collection, 
> emitting a Stream of Tuples with the author field populated.
> 2) The inner gatherNodes() expression reads the Tuples form the search() 
> stream and traverses to the *friends* collection by performing a distributed 
> join between articles.author and friends.user field.  It gathers the value 
> from the *friend* field during the join.
> 3) The inner gatherNodes() expression then emits the *friend* Tuples. By 
> default the gatherNodes function emits only the leaves which in this case are 
> the *friend* tuples.
> 4) The outer gatherNodes() expression reads the *friend* Tuples and Traverses 
> again in the "friends" collection, this time performing the join between 
> *friend* Tuples  emitted in step 3. This collects the friend of friends.
> 5) The outer gatherNodes() expression emits the entire graph that was 
> collected. This is controlled by the "scatter" parameter. In the example the 
> *root* nodes are the authors, the *branches* are the author's friends and the 
> *leaves* are the friend of friends.
> This traversal is fully distributed and cross collection.
> *Aggregations* are also supported during the traversal. This can be useful 
> for making recommendations based on co-occurance counts: Sample syntax:
> {code}
> top(
>       gatherNodes(baskets,
>                   search(baskets, q=“prodid:X”, fl=“basketid”, rows=“500”, 
> sort=“random_7897987 asc”),
>                   walk =“basketid->basketid”,
>                   gather=“prodid”,
>                   fl=“prodid, price”,
>                   count(*),
>                   avg(price)),
>       n=4,
>       sort=“count(*) desc, avg(price) asc”)
> {code}
> In the expression above, the inner search() function searches the basket 
> collection for 500 random basketId's that have the prodid X.
> gatherNodes then traverses the basket collection and gathers all the prodid's 
> for the selected basketIds.
> It also aggregates the counts and average price for each productid collected. 
> The count reflects the co-occurance count for each prodid gathered and prodid 
> X. The outer *top* expression selects the top 4 prodid's emitted from 
> gatherNodes, based the co-occurance count and avg price.
> Like all streaming expressions the gatherNodes expression can be combined 
> with other streaming expressions. For example the following expression uses a 
> hashJoin to intersect the network of friends rooted to authors found with 
> different queries:
> {code}
> hashInnerJoin(
>                       gatherNodes(friends,
>                                   gatherNodes(friends,
>                                               search(articles, 
> q=“body:(queryA)”, fl=“author”),
>                                               walk ="author->user”,
>                                               gather="friend"),
>                                   walk=“friend->user”,
>                                   gather="friend",
>                                   scatter=“branches, leaves”),
>                        gatherNodes(friends,
>                                   gatherNodes(friends,
>                                               search(articles, 
> q=“body:(queryB)”, fl=“author”),
>                                               walk ="author->user”,
>                                               gather="friend"),
>                                   walk=“friend->user”,
>                                   gather="friend",
>                                   scatter=“branches, leaves”),
>                       on=“friend”
>          )
> {code}
>   



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