The CREATE UNIQUE clause is a mix of MATCH and CREATE — it will match what it can, and create what is missing.
Introduction
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CREATE UNIQUE is in the middle of MATCH and CREATE — it will match what it can, and create what is missing.
CREATE UNIQUE will always make the least change possible to the graph — if it can use parts of the existing graph, it will.
Another difference to MATCH is that CREATE UNIQUE assumes the pattern to be unique.
If multiple matching subgraphs are found an error will be generated.
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The examples start out with the following data set:
Create unique nodes
Create node if missing
If the pattern described needs a node, and it can’t be matched, a new node will be created.
Query
MATCH (root { name: 'root' })
CREATE UNIQUE (root)-[:LOVES]-(someone)
RETURN someone
The root node doesn’t have any LOVES relationships, and so a node is created, and also a relationship to that node.
Result
| someone |
|---|
| 1 row |
| Nodes created: 1 |
| Relationships created: 1 |
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Try this query live create (_0 {`name`:"A"}) create (_1 {`name`:"B"}) create (_2 {`name`:"C"}) create (_3 {`name`:"root"}) create (_0)-[:`KNOWS`]->(_2) create (_3)-[:`X`]->(_2) create (_3)-[:`X`]->(_1) create (_3)-[:`X`]->(_0) ; match (root {name: 'root'}) create unique (root)-[:LOVES]-(someone) return someone
Create nodes with values
The pattern described can also contain values on the node. These are given using the following syntax: prop : <expression>.
Query
MATCH (root { name: 'root' })
CREATE UNIQUE (root)-[:X]-(leaf { name:'D' })
RETURN leaf
No node connected with the root node has the name D, and so a new node is created to match the pattern.
Result
| leaf |
|---|
| 1 row |
| Nodes created: 1 |
| Relationships created: 1 |
| Properties set: 1 |
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Try this query live create (_0 {`name`:"A"}) create (_1 {`name`:"B"}) create (_2 {`name`:"C"}) create (_3 {`name`:"root"}) create (_0)-[:`KNOWS`]->(_2) create (_3)-[:`X`]->(_2) create (_3)-[:`X`]->(_1) create (_3)-[:`X`]->(_0) ; match (root {name: 'root'}) create unique (root)-[:X]-(leaf {name:'D'} ) return leaf
Create labeled node if missing
If the pattern described needs a labeled node and there is none with the given labels, Cypher will create a new one.
Query
MATCH (a { name: 'A' })
CREATE UNIQUE (a)-[:KNOWS]-(c:blue)
RETURN c
The A node is connected in a KNOWS relationship to the c node, but since C doesn’t have the :blue label, a new node labeled as :blue is created along with a KNOWS relationship from A to it.
Result
| c |
|---|
| 1 row |
| Nodes created: 1 |
| Relationships created: 1 |
| Labels added: 1 |
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Try this query live create (_0 {`name`:"A"}) create (_1 {`name`:"B"}) create (_2 {`name`:"C"}) create (_3 {`name`:"root"}) create (_0)-[:`KNOWS`]->(_2) create (_3)-[:`X`]->(_2) create (_3)-[:`X`]->(_1) create (_3)-[:`X`]->(_0) ; match (a {name: 'A'}) create unique (a)-[:KNOWS]-(c:blue) return c
Create unique relationships
Create relationship if it is missing
CREATE UNIQUE is used to describe the pattern that should be found or created.
Query
MATCH (lft { name: 'A' }),(rgt)
WHERE rgt.name IN ['B', 'C']
CREATE UNIQUE (lft)-[r:KNOWS]->(rgt)
RETURN r
The left node is matched agains the two right nodes. One relationship already exists and can be matched, and the other relationship is created before it is returned.
Result
| r |
|---|
| 2 rows |
| Relationships created: 1 |
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Try this query live create (_0 {`name`:"A"}) create (_1 {`name`:"B"}) create (_2 {`name`:"C"}) create (_3 {`name`:"root"}) create (_0)-[:`KNOWS`]->(_2) create (_3)-[:`X`]->(_2) create (_3)-[:`X`]->(_1) create (_3)-[:`X`]->(_0) ; match (lft {name: 'A'}), (rgt) where rgt.name in ['B','C'] create unique (lft)-[r:KNOWS]->(rgt) return r
Create relationship with values
Relationships to be created can also be matched on values.
Query
MATCH (root { name: 'root' })
CREATE UNIQUE (root)-[r:X { since:'forever' }]-()
RETURN r
In this example, we want the relationship to have a value, and since no such relationship can be found, a new node and relationship are created. Note that since we are not interested in the created node, we don’t name it.
Result
| r |
|---|
| 1 row |
| Nodes created: 1 |
| Relationships created: 1 |
| Properties set: 1 |
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Try this query live create (_0 {`name`:"A"}) create (_1 {`name`:"B"}) create (_2 {`name`:"C"}) create (_3 {`name`:"root"}) create (_0)-[:`KNOWS`]->(_2) create (_3)-[:`X`]->(_2) create (_3)-[:`X`]->(_1) create (_3)-[:`X`]->(_0) ; match (root {name: 'root'}) create unique (root)-[r:X {since:'forever'}]-() return r
Describe complex pattern
The pattern described by CREATE UNIQUE can be separated by commas, just like in MATCH and CREATE.
Query
MATCH (root { name: 'root' })
CREATE UNIQUE (root)-[:FOO]->(x),(root)-[:BAR]->(x)
RETURN x
This example pattern uses two paths, separated by a comma.
Result
| x |
|---|
| 1 row |
| Nodes created: 1 |
| Relationships created: 2 |
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Try this query live create (_0 {`name`:"A"}) create (_1 {`name`:"B"}) create (_2 {`name`:"C"}) create (_3 {`name`:"root"}) create (_0)-[:`KNOWS`]->(_2) create (_3)-[:`X`]->(_2) create (_3)-[:`X`]->(_1) create (_3)-[:`X`]->(_0) ; match (root {name: 'root'}) create unique (root)-[:FOO]->(x), (root)-[:BAR]->(x) return x