Reputation: 1303
I have a graph of a tree structure (well no, more of a DAG because i can have multiple parents) and need to be able to write queries that return all results in a flat list, starting at a particular node(s) and down.
I've reduced one of my use cases to this simple example. In the ascii representation here, n's are my nodes and I've appended their id. p is a permission in my auth system, but all that is pertinent to the question is that it marks the spot from which I need to recurse downwards to collect nodes which should be returned by the query.
Graph:
n1
^ ^
/ \
n2 n3<--p
^ ^
/ \
n4 n5
^
/
n6
If it's helpful, here's the cypher I ran to throw together this quick example:
CREATE path=(n1:n{id:1})<-[:HAS_PARENT]-(n2:n{id:2}),
(n1)<-[:HAS_PARENT]-(n3:n{id:3})<-[:HAS_PARENT]-(n4:n{id:4}),
(n3)<-[:HAS_PARENT]-(n5:n{id:5}),
(n4)<-[:HAS_PARENT]-(n6:n{id:6})
MATCH (n{id:3})
CREATE (:p)-[:IN]->(n)
Here is the current best query I have:
MATCH (n:n)<--(:p)
WITH collect (n) as parents, (n) as n
OPTIONAL MATCH (c)-[:HAS_PARENT*]->(n)
WITH collect(c) as children, (parents) as parents
UNWIND (parents+children) as tree
RETURN tree
This returns the correct set of results, and unlike some previous attempts I made which did not use any collect/unwind, the results come back as a single column of data as desired.
Is this the most optimal way of making this type of query? It is surprisingly more complex than I thought the simple scenario called for. I tried some queries where I combined the roots ("parents" in my query) with the "children" using a UNION clause, but I could not find a way to do so without repeating the query for the relationship with p. In my real world queries, that's a much more expensive operation which i've reduced down here for the example, so I cannot run it more than once.
Upvotes: 1
Views: 421
Reputation: 66999
This might suit your needs:
MATCH (c)-[:HAS_PARENT*0..]->(root:n)<--(:p)
RETURN root, COLLECT(c) AS tree
Each result row will contain a distinct root
node and a collection if its tree nodes (including the root node).
Upvotes: 1