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== Virtual Nodes/Rels | ||
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Virtual Nodes and Relationships don't exist in the graph, they are only returned to the UI/user for representing a graph projection. | ||
They can be visualized or processed otherwise. | ||
Please note that they have negative id's. | ||
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[cols="1m,5"] | ||
|=== | ||
| CALL apoc.create.vNode(['Label'], {key:value,...}) YIELD node | returns a virtual node | ||
| apoc.create.vNode(['Label'], {key:value,...}) | returns a virtual node | ||
| CALL apoc.create.vNodes(['Label'], [{key:value,...}]) | returns virtual nodes | ||
| CALL apoc.create.vRelationship(nodeFrom,'KNOWS',{key:value,...}, nodeTo) YIELD rel | returns a virtual relationship | ||
| apoc.create.vRelationship(nodeFrom,'KNOWS',{key:value,...}, nodeTo) | returns a virtual relationship | ||
| CALL apoc.create.vPattern({_labels:['LabelA'],key:value},'KNOWS',{key:value,...}, {_labels:['LabelB'],key:value}) | returns a virtual pattern | ||
| CALL apoc.create.vPatternFull(['LabelA'],{key:value},'KNOWS',{key:value,...},['LabelB'],{key:value}) | returns a virtual pattern | ||
|=== | ||
// * TODO `CALL apoc.create.vGraph([nodes, {_labels:[],... prop:value,...}], [rels,{_from:keyValueFrom,_to:{_label:,_key:,_value:value}, _type:'KNOWS', prop:value,...}],['pk1','Label2:pk2']) | ||
=== Virtual Nodes/Rels Example | ||
.Virtual node and virtual relationship `vNode`, `vRelationship` | ||
From a simple dataset | ||
[source,cypher] | ||
---- | ||
CREATE(a:Person)-[r:ACTED_IN]->(b:Movie) | ||
---- | ||
We can create a virtual copy, adding as attribute `name` the labels value | ||
[source,cypher] | ||
---- | ||
MATCH (a)-[r]->(b) | ||
WITH head(labels(a)) AS l, head(labels(b)) AS l2, type(r) AS rel_type, count(*) as count | ||
CALL apoc.create.vNode([l],{name:l}) yield node as a | ||
CALL apoc.create.vNode([l2],{name:l2}) yield node as b | ||
CALL apoc.create.vRelationship(a,rel_type,{count:count},b) yield rel | ||
RETURN *; | ||
---- | ||
image::{img}/apoc.create.vRelationshipAndvNode.png[width=800] | ||
Virtual nodes and virtual relationships have always a negative id | ||
image::{img}/vNodeId.png[width=200] | ||
.Virtual pattern `vPattern` | ||
[source,cypher] | ||
---- | ||
CALL apoc.create.vPattern({_labels:['Person'],name:'Mary'},'KNOWS',{since:2012},{_labels:['Person'],name:'Michael'}) | ||
---- | ||
image::{img}/apoc.create.vPattern.png[width=800] | ||
We can add more labels, just adding them on `_labels` | ||
[source,cypher] | ||
---- | ||
CALL apoc.create.vPattern({_labels:['Person', 'Woman'],name:'Mary'},'KNOWS',{since:2012},{_labels:['Person', 'Man'],name:'Michael'}) | ||
---- | ||
image::{img}/apoc.create.vPatternLabels.png[width=800] | ||
.Virtual pattern full `vPatternFull` | ||
[source,cypher] | ||
---- | ||
CALL apoc.create.vPatternFull(['British','Person'],{name:'James', age:28},'KNOWS',{since:2009},['Swedish','Person'],{name:'Daniel', age:30}) | ||
---- | ||
image::{img}/apoc.create.vPatternFull.png[width=800] | ||
We can create a virtual pattern from an existing one | ||
[source,cypher] | ||
---- | ||
CREATE(a:Person {name:'Daniel'})-[r:KNOWS]->(b:Person {name:'John'}) | ||
---- | ||
From this dataset we can create a virtual pattern | ||
[source,cypher] | ||
---- | ||
MATCH (a)-[r]->(b) | ||
WITH head(labels(a)) AS labelA, head(labels(b)) AS labelB, type(r) AS rel_type, a.name AS aName, b.name AS bName | ||
CALL apoc.create.vPatternFull([labelA],{name: aName},rel_type,{since:2009},[labelB],{name: bName}) yield from, rel, to | ||
RETURN *; | ||
---- | ||
image::{img}/apoc.create.vPatternFullTwo.png[width=800] |
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