Skip to content

Instantly share code, notes, and snippets.

@DataDistiller

DataDistiller/neo4j_cypher_cheatsheet.md

Forked from DaniSancas/neo4j_cypher_cheatsheet.md
Last active September 20, 2020 17:14
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 1 You must be signed in to fork a gist
  • Save DataDistiller/4952ef83871f1d31581dd6b95c103cbd to your computer and use it in GitHub Desktop.
Save DataDistiller/4952ef83871f1d31581dd6b95c103cbd to your computer and use it in GitHub Desktop.
Download ZIP
Neo4j's Cypher queries cheatsheet
Raw
neo4j_cypher_cheatsheet.md

Neo4j Tutorial

Fundamentals

Graph Databases Store non temporal data using the following graph concepts:

  • Node: Graph data records
  • Relationship: Connect nodes (has direction and a type)
  • Property: Stores data in key-value pair in nodes and relationships
  • Label: Groups nodes and relationships (optional)

Also see

https://neo4j.com/developer/kb/fast-counts-using-the-count-store/

https://neo4j.com/docs/cypher-refcard/current/

Browser editor

CLI

Examples: :help :clear

Cypher

Match

Match node

MATCH (ee:Person)
WHERE ee.name = "Emil"
RETURN ee;
  • MATCH clause to specify a pattern of nodes and relationships
  • (ee:Person) a single node pattern with label 'Person' which will assign matches to the variable ee
  • WHERE clause to constrain the results
  • ee.name = "Emil" compares name property to the value "Emil"
  • RETURN clause used to request particular results

Gets gets the id<5> and id<0> nodes and creates a :KNOWS relationship between them

Match nodes and relationships

MATCH (ee:Person)-[:KNOWS]-(friends)
WHERE ee.name = "Emil"
RETURN ee, friends
  • MATCH clause to describe the pattern from known Nodes to found Nodes
  • (ee) starts the pattern with a Person (qualified by WHERE)
  • -[:KNOWS]- matches "KNOWS" relationships (in either direction)
  • (friends) will be bound to Emil's friends

Match labels

MATCH (n:Person)
RETURN n

or

MATCH (n)
WHERE n:Person
RETURN n

Match multiple labels

:Car OR :Person labels

MATCH (n)
WHERE n:Person OR n:Car
RETURN n

:Car AND :Person labels

MATCH (n)
WHERE n:Person:Car
RETURN n

Match same properties

MATCH (a:Person)
WHERE a.from = "Sweden"
RETURN a

Returns every node (and their relationships) where there's a property from with "Sweden" value

Match friends of friends with same hobbies

Johan is learning surfing, and wants to know any friend of his friends who already knows surfing

MATCH (js:Person)-[:KNOWS]-()-[:KNOWS]-(surfer)
WHERE js.name = "Johan" AND surfer.hobby = "surfing"
RETURN DISTINCT surfer
  • () empty parenthesis to ignore these nodes
  • DISTINCT because more than one path will match the pattern
  • surfer will contain Allison, a friend of a friend who surfs

Match by ID

Every node and relationship has an internal autonumeric ID, which can be queried using <, <=, =, =>, <> and IN operators:

Search node by ID

MATCH (n)
WHERE id(n) = 0
RETURN n

Search multiple nodes by ID

MATCH (n)
WHERE id(n) IN [1, 2, 3]
RETURN n

Search relationship by ID

MATCH ()-[n]-()
WHERE id(n) = 0
RETURN n

Create

Create node

CREATE (ee:Person { name: "Emil", from: "Sweden", klout: 99 })
  • CREATE clause to create data
  • () parenthesis to indicate a node
  • ee:Person a variable ee and label Person for the new node
  • {} brackets to add properties (key-value pairs) to the node

Create nodes and relationships

MATCH (ee:Person) WHERE ee.name = "Emil"
CREATE (js:Person { name: "Johan", from: "Sweden", learn: "surfing" }),
(ir:Person { name: "Ian", from: "England", title: "author" }),
(rvb:Person { name: "Rik", from: "Belgium", pet: "Orval" }),
(ally:Person { name: "Allison", from: "California", hobby: "surfing" }),
(ee)-[:KNOWS {since: 2001}]->(js),(ee)-[:KNOWS {rating: 5}]->(ir),
(js)-[:KNOWS]->(ir),(js)-[:KNOWS]->(rvb),
(ir)-[:KNOWS]->(js),(ir)-[:KNOWS]->(ally),
(rvb)-[:KNOWS]->(ally)
  • MATCH clause to get "Emil" in ee variable
  • CREATE clause to create multiple nodes (comma separated) with their labels and properties. Also creates directed relationships (a)-[:Label {key: value}]->(b)

Create relationship between 2 unrelated nodes

MATCH (n), (m)
WHERE n.name = "Allison" AND m.name = "Emil"
CREATE (n)-[:KNOWS]->(m)

Alternative with MERGE, which ensures that the relationship is created only once

MATCH (n:User {name: "Allison"}), (m:User {name: "Emil"})
MERGE (n)-[:KNOWS]->(m)

Create node with multiple labels

CREATE (n:Actor:Director)

Update

Update node properties (add new or modify)

Add new .owns property or modify (if exists)

MATCH (n)
WHERE n.name = "Rik"
SET n.owns = "Audi"

Replace all node properties for the new ones

Danger: It will delete all previous properties and create .plays and .age properties

MATCH (n)
WHERE n.name = "Rik"
SET n = {plays: "Piano", age: 23}

Add new node properties without deleting old ones

Danger: If .plays or .age properties are already set, it will overwrite them

MATCH (n)
WHERE n.name = "Rik"
SET n += {plays: "Piano", age: 23}

Add new node property if property not already set

MATCH (n)
WHERE n.plays = "Guitar" AND NOT (EXISTS (n.likes))
SET n.likes = "Movies"

Rename a property in all nodes

MATCH (n)
WHERE NOT (EXISTS (n.instrument))
SET n.instrument = n.plays
REMOVE n.plays

Alternative

MATCH (n)
WHERE n.instrument is null
SET n.instrument = n.plays
REMOVE n.plays

Add label to existing node

Adds the :Food label to nodes id<7> and id<8>

MATCH (n)
WHERE id(n) IN [7, 8]
SET n:Food

Creates the node if not exists and updates (or creates) a property

MERGE (n:Person {name: "Rik"})
SET n.owns = "Audi"

Delete

Delete nodes

To delete a node (p.e. id<5>), first we need to delete its relationships. Then, the node can be deleted

MATCH (n)-[r]-()
WHERE id(n) = 5
DELETE r, n

To delete multiple nodes (must have their relationships previously deleted)

MATCH (n)
WHERE id(n) IN [1, 2, 3]
DELETE n

Deletes a property in a specific node

MATCH (n)
WHERE n:Person AND n.name = "Rik" AND n.plays is NOT null
REMOVE n.plays

Alternative

MATCH (n)
WHERE n:Person AND n.name = "Rik" AND EXISTS (n.plays)
REMOVE n.plays

Delete a label from all nodes

Deletes the :Person label from all nodes

MATCH (n)
REMOVE n:Person

Delete a label from nodes with specific labels

Deletes the :Person label from nodes with :Food and :Person labels

MATCH (n)
WHERE n:Food:Person
REMOVE n:Person

Delete multiple labels from nodes

Deletes the :Food and :Person labels from nodes which have both labels

MATCH (n)
WHERE n:Food:Person
REMOVE n:Food:Person

Danger: Deletes the :Food and :Person labels from nodes which have :Food or :Person or :Food:Person labels

MATCH (n)
REMOVE n:Food:Person

Delete entire database

MATCH (n)
OPTIONAL MATCH (n)-[r]-()
DELETE n, r

Other clauses

Show execution plan

Use PROFILE or EXPLAIN before the query

PROFILE: Shows the execution plan, query information and db hits. Example: Cypher version: CYPHER 3.0, planner: COST, runtime: INTERPRETED. 84 total db hits in 32 ms.

EXPLAIN: Shows the execution plan and query information. Example: Cypher version: CYPHER 3.0, planner: COST, runtime: INTERPRETED.

Count

Count all nodes

MATCH (n)
RETURN count(n)

Count all relationships

MATCH ()-->()
RETURN count(*);

Limit

Returns up to 2 nodes (and their relationships) where there's a property from with "Sweden" value

MATCH (a:Person)
WHERE a.from = "Sweden"
RETURN a
LIMIT 2

Create unique property constraint

Make .name property unique on nodes with :Person label

CREATE CONSTRAINT ON (n:Person)
ASSERT n.name IS UNIQUE

Drop unique property constraint

Make .name property unique on nodes with :Person label

DROP CONSTRAINT ON (n:Person)
ASSERT n.name IS UNIQUE
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment