What I'm trying to do is generate all the permutations of a collection of nodes but where each node type only appears once per permutation.
For example if I have a graph of u:User, l:Location, d:Device nodes, lets say 3 nodes of each type.
What I want to be able to generate is a collection that might look something like this
User ID: 1, Location ID: 1
User ID: 1, Location ID: 2
User ID: 1, Location ID: 3
User ID: 1, Device ID: 1
User ID: 1, Device ID: 2
User ID: 1, Device ID: 3
User ID: 1, Location ID: 1, Device ID: 1
User ID: 1, Location ID: 1, Device ID: 2
User ID: 1, Location ID: 1, Device ID: 3
User ID: 1, Location ID: 2, Device ID: 1
User ID: 1, Location ID: 2, Device ID: 2
User ID: 1, Location ID: 2, Device ID: 3
And so on, until I have all combinations.
What I don't want to happen is for a valid combination to include any of the node types more than once, so a combination can only have one user, one location and one device.
At the moment I'm using apoc.coll.combinations, but I don't seem to be able to work out a way to stop it from making the node type distinct.
If I were to run
MATCH (l:Location)-[]-(d:Device)-[]-(ur:User)
WITH COLLECT({l:l,ur:ur}) as coll
WITH apoc.coll.combinations(coll,1,size(coll)) as combColl
RETURN combColl
I'd run out of memory because valid combos would be all the locations and all the user risks.
CodePudding user response:
You need to get one item combination per location, device and user using apoc.coll.combinations. Then do UNWIND to combine each of the items. The result is 3X3 3X3 3x3 3X3x3 = 54 rows
MATCH (l:Location)
MATCH (d:Device)
MATCH (u:User)
WITH collect(l) as locations, collect(d) as devices, collect(u) as users
WITH apoc.coll.combinations(locations,1,1) as locations, apoc.coll.combinations(devices,1,1) as devices, apoc.coll.combinations(users,1,1) as users
UNWIND locations as location
UNWIND devices as device
UNWIND users as user
CALL {
WITH location, device
RETURN collect(distinct location device) as cols
UNION ALL
WITH location, user
RETURN collect(distinct location user) as cols
UNION ALL
WITH device, user
RETURN collect(distinct device user) as cols
UNION ALL
WITH location, device, user
RETURN collect(distinct location device user) as cols
}
RETURN collect(distinct cols) as combColl
Result when I unwind the final collection:
╒══════════════════════════════╕
│"combColl" │
╞══════════════════════════════╡
│[[{"ID":1},{"ID":1}]] │
├──────────────────────────────┤
│[[{"ID":1},{"ID":2}]] │
├──────────────────────────────┤
│[[{"ID":1},{"ID":3}]] │
....
├──────────────────────────────┤
│[[{"ID":3},{"ID":2},{"ID":3}]]│
├──────────────────────────────┤
│[[{"ID":3},{"ID":3},{"ID":1}]]│
├──────────────────────────────┤
│[[{"ID":3},{"ID":3},{"ID":2}]]│
├──────────────────────────────┤
│[[{"ID":3},{"ID":3},{"ID":3}]]│
└──────────────────────────────┘