12.1. Predicates

12.1.1. ALL
12.1.2. ANY
12.1.3. NONE
12.1.4. SINGLE

Predicates are boolean functions that return true or false for a given set of input. They are most commonly used to filter out subgraphs in the WHERE part of a query.

See also Section 8.4.2, “Comparison operators”.

Figure 12.1. Graph


12.1.1. ALL

Tests whether a predicate holds for all element of this collection collection.

Syntax: ALL(identifier in collection WHERE predicate)

Arguments:

  • collection: An expression that returns a collection
  • identifier: This is the identifier that can be used from the predicate.
  • predicate: A predicate that is tested against all items in the collection.

Query. 

MATCH p=(a)-[*1..3]->(b)
WHERE a.name='Alice' AND b.name='Daniel' AND ALL (x IN nodes(p) WHERE x.age > 30)
RETURN p

All nodes in the returned paths will have an age property of at least 30.

Result

p
1 row

[Node[2]{name:"Alice",age:38,eyes:"brown"},:KNOWS[1]{},Node[4]{name:"Charlie",age:53,eyes:"green"},:KNOWS[3]{},Node[0]{name:"Daniel",age:54,eyes:"brown"}]


Try this query live. create (_0 {`age`:54, `eyes`:"brown", `name`:"Daniel"}) create (_1:`Spouse` {`age`:41, `array`:["one", "two", "three"], `eyes`:"blue", `name`:"Eskil"}) create (_2:`foo`:`bar` {`age`:38, `eyes`:"brown", `name`:"Alice"}) create (_3 {`age`:25, `eyes`:"blue", `name`:"Bob"}) create (_4 {`age`:53, `eyes`:"green", `name`:"Charlie"}) create _2-[:`KNOWS`]->_3 create _2-[:`KNOWS`]->_4 create _3-[:`KNOWS`]->_0 create _3-[:`MARRIED`]->_1 create _4-[:`KNOWS`]->_0 match p=(a)-[*1..3]->(b) where a.name='Alice' and b.name='Daniel' and all(x in nodes(p) WHERE x.age > 30) return p

12.1.2. ANY

Tests whether a predicate holds for at least one element in the collection.

Syntax: ANY(identifier in collection WHERE predicate)

Arguments:

  • collection: An expression that returns a collection
  • identifier: This is the identifier that can be used from the predicate.
  • predicate: A predicate that is tested against all items in the collection.

Query. 

MATCH (a)
WHERE a.name='Eskil' AND ANY (x IN a.array WHERE x = "one")
RETURN a

All nodes in the returned paths has at least one one value set in the array property named array.

Result

a
1 row

Node[1]{name:"Eskil",age:41,eyes:"blue",array:["one","two","three"]}


Try this query live. create (_0 {`age`:54, `eyes`:"brown", `name`:"Daniel"}) create (_1:`Spouse` {`age`:41, `array`:["one", "two", "three"], `eyes`:"blue", `name`:"Eskil"}) create (_2:`foo`:`bar` {`age`:38, `eyes`:"brown", `name`:"Alice"}) create (_3 {`age`:25, `eyes`:"blue", `name`:"Bob"}) create (_4 {`age`:53, `eyes`:"green", `name`:"Charlie"}) create _2-[:`KNOWS`]->_3 create _2-[:`KNOWS`]->_4 create _3-[:`KNOWS`]->_0 create _3-[:`MARRIED`]->_1 create _4-[:`KNOWS`]->_0 match (a) where a.name='Eskil' and any(x in a.array WHERE x = "one") return a

12.1.3. NONE

Returns true if the predicate holds for no element in the collection.

Syntax: NONE(identifier in collection WHERE predicate)

Arguments:

  • collection: An expression that returns a collection
  • identifier: This is the identifier that can be used from the predicate.
  • predicate: A predicate that is tested against all items in the collection.

Query. 

MATCH p=(n)-[*1..3]->(b)
WHERE n.name='Alice' AND NONE (x IN nodes(p) WHERE x.age = 25)
RETURN p

No nodes in the returned paths has a age property set to 25.

Result

p
2 rows

[Node[2]{name:"Alice",age:38,eyes:"brown"},:KNOWS[1]{},Node[4]{name:"Charlie",age:53,eyes:"green"}]

[Node[2]{name:"Alice",age:38,eyes:"brown"},:KNOWS[1]{},Node[4]{name:"Charlie",age:53,eyes:"green"},:KNOWS[3]{},Node[0]{name:"Daniel",age:54,eyes:"brown"}]


Try this query live. create (_0 {`age`:54, `eyes`:"brown", `name`:"Daniel"}) create (_1:`Spouse` {`age`:41, `array`:["one", "two", "three"], `eyes`:"blue", `name`:"Eskil"}) create (_2:`foo`:`bar` {`age`:38, `eyes`:"brown", `name`:"Alice"}) create (_3 {`age`:25, `eyes`:"blue", `name`:"Bob"}) create (_4 {`age`:53, `eyes`:"green", `name`:"Charlie"}) create _2-[:`KNOWS`]->_3 create _2-[:`KNOWS`]->_4 create _3-[:`KNOWS`]->_0 create _3-[:`MARRIED`]->_1 create _4-[:`KNOWS`]->_0 match p=(n)-[*1..3]->(b) where n.name='Alice' and NONE(x in nodes(p) WHERE x.age = 25) return p

12.1.4. SINGLE

Returns true if the predicate holds for exactly one of the elements in the collection.

Syntax: SINGLE(identifier in collection WHERE predicate)

Arguments:

  • collection: An expression that returns a collection
  • identifier: This is the identifier that can be used from the predicate.
  • predicate: A predicate that is tested against all items in the collection.

Query. 

MATCH p=(n)-->(b)
WHERE n.name='Alice' AND SINGLE (var IN nodes(p) WHERE var.eyes = "blue")
RETURN p

Exactly one node in every returned path will have the eyes property set to "blue".

Result

p
1 row

[Node[2]{name:"Alice",age:38,eyes:"brown"},:KNOWS[0]{},Node[3]{name:"Bob",age:25,eyes:"blue"}]


Try this query live. create (_0 {`age`:54, `eyes`:"brown", `name`:"Daniel"}) create (_1:`Spouse` {`age`:41, `array`:["one", "two", "three"], `eyes`:"blue", `name`:"Eskil"}) create (_2:`foo`:`bar` {`age`:38, `eyes`:"brown", `name`:"Alice"}) create (_3 {`age`:25, `eyes`:"blue", `name`:"Bob"}) create (_4 {`age`:53, `eyes`:"green", `name`:"Charlie"}) create _2-[:`KNOWS`]->_3 create _2-[:`KNOWS`]->_4 create _3-[:`KNOWS`]->_0 create _3-[:`MARRIED`]->_1 create _4-[:`KNOWS`]->_0 match p=(n)-->(b) where n.name='Alice' and SINGLE(var in nodes(p) WHERE var.eyes = "blue") return p