Like I have a node by label person
Then there are some alternate nodes attached to it by some relation for the time being I don't know the relation. What I want through report is to know the orphaned nodes in neo4j i.e those that don't have relationship with the Person node or if their relation status property is inactive so its of no use.
I want to create that report in order to remove the orphaned/unused nodes
I have to create a report that should include the following types of nodes.
1. Get All active Alternate Nodes means nodes that have status as Confirmed.
a. Which do not have any incoming relationships.
Or
b. No active incoming relationships means the status property of relationship is not confirmed.
The case is I don't know what relationship is between them I have to just check with or without relationship
I tried cypher query but didn't worked for unknown relationship
I don't see your graph so I created a sample. See below.
If you want to collect all Alona and Inactive nodes, then you can write your query as:
match (n)
where not (n) <--()
and (n.Status = 'Confirmed' or n.Status != 'Confirmed')
return n
which simplifies into:
match (n)
where not (n) <--()
return n
Result:
Related
I have written below three queries and trying to understand difference between all 3 of them.
Query1:
MATCH (person)-[r]->(otherPerson)
Query2:
MATCH (person)-->(otherPerson)
Query3:
MATCH (person)--(otherPerson)
Please let me know if there is any difference between the three queries.
Query 1 and 2 are basically the same, you are asking for all nodes connected by relationships that start at the person nodes and end at the otherPerson node. In Query 1 you are also adding an alias/label to the actual relationship r that would allow you to return the relationship. In Query 1 you could do
MATCH (person)-[r]->(otherPerson) RETURN r
In Query 2, you could not return the relationship.
Query 3 is similar to Query 2 except that you are asking for all nodes connected by relationships that start or end at the person nodes and start or end at the otherPerson node.
Query 1 and 2 will find all nodes and give them a label of person. It will then go out all outbound relationships and label the connected node as otherPerson. In the case of Query 1 the relationship will also be given a label of r.
Query 3 will match the same pattern except it will traverse both incoming and outgoing edges to find the otherPerso node.
I am a newbie who just started learning graph database and I have a problem querying the relationships between nodes.
My graph is like this:
There are multiple relationships from one node to another, and the IDs of these relationships are different.
How to find relationships where the number of relationships between two nodes is greater than 2，or is there a problem with the model of this graph?
Just like on the graph, I want to query node d and node a.
I tried to use the following statement, but the result is incorrect:
match (from)-[r:INVITE]->(to)
with from, count(r) as ref
where ref >2
return from
It seems to count the number of relations issued by all from, not the relationship between from-->to.
to return nodes who have more then 2 relationship between them you need to check the size of the collected rels. something like
MATCH (x:Person)-[r:INVITE]-(:Party)
WITH x, size(collect(r)) as inviteCount
WHERE inviteCount > 2
RETURN x
Aggregating functions like COLLECT and COUNT use non-aggregating terms in the same WITH (or RETURN) clause as "grouping keys".
So, here is one way to get pairs of nodes that have more than 2 INVITE relationships (in a specific direction) between them:
MATCH (from)-[r:INVITE]->(to)
WITH from, to, COUNT(r) AS ref
WHERE ref > 2
RETURN from, to
NOTE: Ideally (for clarity and efficiency), your nodes would have specific labels and the MATCH pattern would specify those labels.
When I try to add new nodes with labels (Phone, Name) that don't exist yet with a relationship to an existing node the nodes and relationships are not being created.
This is the before and after state with one existing relationship:
MATCH (n:Identity)-[a:ATTR]->(attr) RETURN *
And this is the mutation query:
MATCH (n:Identity {id:'4a028061-8dde-4f64-80c9-ae048e3f81fc'})
MERGE (n)-[na:ATTR]->(name:Name {val: 'John Smith'})
MERGE (n)-[pa:ATTR]->(p:Phone {val:2326410083})
RETURN *
I know this question is similar to Neo4J - Merge statement not creating new nodes with a relationship but, in my case, I am using filters on the nodes. What's am I missing?
Looks like the :Identity node you're trying to match to doesn't exist in the graph.
From your query, you're looking for an identity node with id:'4a028061-8dde-4f64-80c9-ae048e3f81fc', but in the graph image you supplied, if we assume the cut off caption is the id of the identity node, we can tell it starts with:'44b7'
Now it could be that the node you're trying to match on does exist, but doesn't have any outgoing :ATTR relationship (that would explain why it wouldn't be returned by your query), but that's unconfirmed. Does a node with id:'4a028061-8dde-4f64-80c9-ae048e3f81fc' exist in your graph? You haven't shown us that, and if no such node exists then the match would fail, and then there are no rows left for the remaining MERGEs to execute upon.
I want to find all those nodes that are connected to specific node based upon certain relationship label. This is what I have got so far,
Match (n:UMLSConcepts{ConceptID: 'C3254924'})-[:NDFRT {RelationLabel : "RO_may_be_treated_by"}]-> (m:UMLSConcepts) RETURN (n), (m)
where (n) is a specific node and (m) are all other nodes that are connected with this node. Problem with above statement is that it is dependent upon a specific relation type in this case(NDFRT), but I want all relation type that contains certain relationship properties in this case("RO_may_be_treated_by") because there could be path/edge in other relation type as well.
If I I fully understood your question, you can simply omit the relationship type in your Cypher query, this way:
Match (n:UMLSConcepts{ConceptID: 'C3254924'})-[{RelationLabel : "RO_may_be_treated_by"}]-> (m:UMLSConcepts)
RETURN (n), (m)
How can we add a relationship to the query.
Say A-[C01]-B-[C02]-D and A-[C01]-B-[C03]-E
C01 C02 C03 are relationship codes I want to get output
B E
because I want only nodes that can be reached unbroken by C01 or C03
How can I get this result in Cypher?
You may want to clarify, what you're asking for seems like a very simple case of matching. You may want to provide some more info, such as node labels and how you're matching to your start nodes, since without these we have to make things up for example code.
MATCH (a:Thing)
WHERE a.ID = 123
WITH a
MATCH (a)-[:C01|C03*]->(b:Thing)
RETURN b
The key here is specifying multiple relationship types to traverse, using * for multiplicity, so it will match on all nodes that can be reached by any chain of those relationships.