Boolean operators

Boolean operators are used to combine or evaluate logical conditions. Cypher^® contains the following boolean operators:

Conjunction: AND
Disjunction: OR
Exclusive disjunction: XOR
Negation: NOT

Truth table for boolean operators
a	b	a `AND` b	a `OR` b	a `XOR` b	`NOT` a
`false`	`false`	`false`	`false`	`false`	`true`
`false`	`null`	`false`	`null`	`null`	`true`
`false`	`true`	`false`	`true`	`true`	`true`
`true`	`false`	`false`	`true`	`true`	`false`
`true`	`null`	`null`	`true`	`null`	`false`
`true`	`true`	`true`	`true`	`false`	`false`
`null`	`false`	`false`	`null`	`null`	`null`
`null`	`null`	`null`	`null`	`null`	`null`
`null`	`true`	`null`	`true`	`null`	`null`

Example graph

The following graph is used for the examples below:

To recreate the graph, run the following query in an empty Neo4j database:

CREATE (alice:Person {name:'Alice', age: 65, role: 'Project manager', email: 'alice@company.com'}),
       (cecil:Person {name: 'Cecil', age: 25, role: 'Software developer', email: 'cecil@private.se'}),
       (cecilia:Person {name: 'Cecilia', age: 31, role: 'Software developer'}),
       (charlie:Person {name: 'Charlie', age: 61, role: 'Security engineer'}),
       (daniel:Person {name: 'Daniel', age: 39, role: 'Director', email: 'daniel@company.com'}),
       (eskil:Person {name: 'Eskil', age: 39, role: 'CEO', email: 'eskil@company.com'})

Examples

Example 1. Boolean operators

AND operator

MATCH (n:Person)
WHERE n.age > 30 AND n.role = 'Software developer'
RETURN n.name AS name, n.age AS age, n.role AS role

Result
name	age	role
`"Cecilia"`	`31`	`"Software developer"`
Rows: 1

OR operator

MATCH (n:Person)
WHERE n.age < 30 OR n.role = 'Software developer'
RETURN n.name AS name, n.age AS age, n.role AS role

Result
name	age	role
`"Cecilia"`	`31`	`"Software developer"`
`"Cecil"`	`25`	`"Software developer"`
Rows: 2

XOR operator

MATCH (n:Person)
WHERE n.age > 30 XOR n.role = 'Software developer'
RETURN n.name AS name, n.age AS age, n.role AS role

Result
name	age	role
`"Alice"`	`65`	`"Project manager"`
`"Cecil"`	`25`	`"Software developer"`
`"Charlie"`	`61`	`"Security engineer"`
`"Eskil"`	`39`	`"CEO"`
`"Daniel"`	`39`	`"Director"`
Rows: 5

NOT operator

MATCH (n:Person)
WHERE NOT n.age = 39
RETURN n.name AS name, n.age AS age

Result
name	age
`"Alice"`	`65`
`"Cecil"`	`25`
`"Cecilia"`	`31`
`"Charlie"`	`61`
Rows: 4

Combining boolean operators

MATCH (n:Person)
WHERE n.role = 'Software developer' XOR (n.age > 60 AND n.role = 'Security engineer') OR NOT (n.role = 'Director' OR n.name = 'Eskil')
RETURN n.name AS name, n.age AS age, n.role AS role

Result
name	age	role
`"Alice"`	`65`	`"Project manager"`
`"Cecil"`	`25`	`"Software developer"`
`"Cecilia"`	`31`	`"Software developer"`
`"Charlie"`	`61`	`"Security engineer"`
Rows: 4