【Docker Desktop】Neo4j

news/2025/1/17 5:47:59/

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

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7、查看所有节点

MATCH (n) RETURN n

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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
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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 totalDistanceORDER BY totalDistance ASCLIMIT 1

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