Docker DesktopNeo4j

Posted 2022-11-07 _less is more

1、下载neo4j并启动

docker run --rm --name testneo4j -p 7474:7474 -p 7687:7687 -d -v C:/Users/ASUS/Desktop/neo4j/data:/data -v C:/Users/ASUS/Desktop/neo4j/logs:/logs -v C:/Users/ASUS/Desktop/neo4j/import:/var/lib/neo4j/import -v C:/Users/ASUS/Desktop/neo4j/plugins:/plugins --env NEO4J_AUTH=neo4j/test neo4j:latest

• 桌面的neo4j文件夹会被自动创建
• 7474是neo4j默认http通信端口，使得可以用浏览器访问可视化界面
• 7687是neo4j默认用于Bolt协议的端口，Bolt协议是neo4j的应用层协议
• –env指定了NEO4J_AUTH环境变量，该环境变量用于设置登录账号和密码：分别为neo4j和test

2、浏览器访问

http://localhost:7474

3、创建一个node

CREATE (ee:Person  name: "Emil", from: "Sweden", klout: 99 )

ee只是变量，可以为其他名称

4、查看刚创建的node

MATCH (ee:Person) 
WHERE ee.name = "Emil" 
RETURN ee;

5、另外创建四个node，并定义关系

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)

6、查看emil的朋友

MATCH (ee:Person)-[:KNOWS]-(friends)
WHERE ee.name = "Emil" 
RETURN ee, friends

7、查看所有节点

MATCH (n) RETURN n

8、删除所有nodes和他们的关系

MATCH (n) DETACH DELETE n

9、最短路实战

创建图

CREATE (LocationA:Location  name: "Location A" )
CREATE (LocationB:Location  name: "Location B" )
CREATE (LocationC:Location  name: "Location C" )
CREATE (LocationD:Location  name: "Location D" )
CREATE (LocationE:Location  name: "Location E" )
CREATE (LocationF:Location  name: "Location F" )
CREATE (LocationG:Location  name: "Location G" )
CREATE (LocationH:Location  name: "Location H" )
CREATE (LocationI:Location  name: "Location I" )

CREATE
 (LocationA)-[:CONNECTED_TO  distance: 5 ]->(LocationB),
 (LocationB)-[:CONNECTED_TO  distance: 6 ]->(LocationC),
 (LocationC)-[:CONNECTED_TO  distance: 4 ]->(LocationI),
 (LocationA)-[:CONNECTED_TO  distance: 3 ]->(LocationD),
 (LocationD)-[:CONNECTED_TO  distance: 4 ]->(LocationE),
 (LocationE)-[:CONNECTED_TO  distance: 5 ]->(LocationI),
 (LocationA)-[:CONNECTED_TO  distance: 2 ]->(LocationF),
 (LocationF)-[:CONNECTED_TO  distance: 3 ]->(LocationG),
 (LocationG)-[:CONNECTED_TO  distance: 2 ]->(LocationH),
(LocationH)-[:CONNECTED_TO  distance: 1 ]->(LocationI)

查看：MATCH (n) RETURN n

查找A到I的最短路

MATCH (from:Location  name:"Location A" ), 
    (to:Location  name: "Location I"), 
    path = (from)-[:CONNECTED_TO*]->(to)
RETURN path AS shortestPath,
    reduce(distance = 0, r in relationships(path) | distance+r.distance) AS totalDistance
    ORDER BY totalDistance ASC
    LIMIT 1