先看看它的示例数据

打开 Neo4j Browser

:play movie graph

写代码，然后点play执行

Cypher, the graph query language.Neo4j提供了Cypher查询语言，它类似于关系型数据库中的SQL语句。

(1) 创建一个节点：create (n: Person {name: "Dennis"}) return n

插入一个Person类别的节点，且这个节点有一个属性name，属性值为Andres

CREATE (n:Person { name : 'Andres'});

插入边。插入一条a到b的有向边，且边的类别为Follow

MATCH (a:Person),(b:Person) WHERE a.name = 'Node A' AND b.name = 'Node B' CREATE (a)-[r:Follow]->(b);

(2) 查询所有的Person节点：match (n: Person) return n

更新节点。更新一个Person类别的节点，设置新的name。

MATCH (n:Person { name: 'Andres' }) SET n.name = 'Taylor';

1.Create: insert movie data into the graph

create语句用于Insert graph data

2.Find: retrieve individual movies and actors

如：Find the actor named "Tom Hanks".

MATCH (tom {name: "Tom Hanks"}) RETURN tom

查询名为"Dennis"的Person节点：match (n: Person) where n.name="Dennis" return n

Find 10 people:

MATCH (people:Person) RETURN people.name LIMIT 10

List all Tom Hanks movies

MATCH (tom:Person {name: "Tom Hanks"})-[:ACTED_IN]->(tomHanksMovies) RETURN tom,tomHanksMovies

Tom Hanks' co-actors

MATCH (tom:Person {name:"Tom Hanks"})-[:ACTED_IN]->(m)

How people are related to "Cloud Atlas"

MATCH (people:Person)-[aaa]-(:Movie {title: "Cloud Atlas"}) RETURN people.name, Type(aaa)

3.Query: discover related actors and directors

MATCH p=shortestPath( (bacon:Person {name:"Kevin Bacon"})-[*]-(meg:Person {name:"Meg Ryan"}) ) RETURN p

MATCH (ms:Person { name:'Andres' }),(cs:Person { name:'Taylor' }), p = shortestPath((ms)-[r:Follow]-(cs)) RETURN p;

Delete all Movie and Person nodes, and their relationships：

MATCH (n) DETACH DELETE n

删除节点和与其相连的边。

MATCH (n:Person { name:'Andres' }) DETACH DELETE n;

删除边。

MATCH (a:Person)-[r:Follow]->(b:Person) WHERE a.name = 'Andres' AND b.name = 'Taylor' DELETE r;

:server connect命令用于连接

查询两个节点之间的关系。

MATCH (a:Person { name:'Andres' })-[r]->(b:Person { name:'Taylor' }) RETURN type(r);

查询一个节点的所有Follower。

MATCH (:Person { name:'Taylor' })-[r:Follow]->(Person) RETURN Person.name;

查看所有的节点数和边数

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

适合存储”修改较少，查询较多，没有超大节点(常见于大V)“的图数据。Arangodb也许是一个不错的考虑对象，根据其官网的说明，Arangodb不仅具有一般图形数据库的优点，而且在各种操作的速度上领先于Neo4j

用php开发

dbms.security.auth_enabled=false

关系也可以有属性，而且有type类型。

用的这个

[labels] => Array ( [0] => Person )

有没有知道如何多数据库切换？

Active database: graph.db