neo4j docker安装使用，py2neo python包使用

参考：https://neo4j.com/docs/operations-manual/current/docker/introduction/

运行：

docker run --publish=7474:7474 --publish=7687:7687 neo4j

查看：

http://192***ip:7474
username/password 都是 neo4j/neo4j

简单案例

创建例子：
关系：SAYS
节点：database、message

属性可以存列表，存字典需要转成json字符串形式

// Hello World!
CREATE (database:Database {name:"Neo4j"})-[r:SAYS]->(message:Message {name:"Hello World!",genre: ["Drama", "Fantasy"]}) RETURN database, message, r

CREATE (database:Database {name:"Neo4j"})
-[r:SAYS]->
(message:Message {
  name:"Hello World!",
  genre:["Drama", "Fantasy"],
  content:"This is the content of the message.",
  timestamp:"2024-05-28T11:37:56.907251",
  author:"John Doe",
  read:false,
  my_dict:"{\"key1\":\"value1\",\"key2\":\"value2\"}"
}) RETURN database, message, r

修改节点：

// 首先找到想要更新的 Message 节点
MATCH (m:Message {name:"Hello World!"})

// 然后使用 SET 语句添加新的属性
SET m.content = "This is the content of the message."
SET m.timestamp =DateTime()
SET m.author = "John Doe"

RETURN m

Cypher查询例子：

查度为3的

MATCH (n)-[r*3]-(m)
RETURN n, r, m
LIMIT 100;

py2neo插入

安装：pip install py2neo

使用Node语句：

每个节点关系后都需要graph.create()

from py2neo import Graph, Node, Relationship

# 连接到Neo4j数据库
graph = Graph("bolt://192.168**:7687", auth=("neo4j", "neo4j1"))



# 创建 Database 节点和 Message 节点
database = Node("Database", name="Neo4j")
graph.create(database)
message = Node("message", name="Hello World!", genre=["Drama", "Fantasy"])
graph.create(database)
# 创建 SAYS 关系
relationship = Relationship(database, "SAYS", message)

# 一次性提交节点和关系到数据库
graph.create(relationship)

一起导入

from py2neo import Graph, Node, Relationship

# 连接到Neo4j数据库
graph = Graph("bolt://192.168***:7687", auth=("neo4j", "neo4j1"))



# 创建 Database 节点和 Message 节点
database = Node("Database", name="Neo4j")

message = Node("message", name="Hello World!", genre=["Drama", "Fantasy"])

# 创建 SAYS 关系
relationship = Relationship(database, "SAYS", message)

# 一次性提交节点和关系到数据库


graph.create(database|message|relationship)

修改

import datetime

# 更新 Message 节点的属性
message["content"] = "This is the content of the message."
message["timestamp"] = datetime.datetime.now().isoformat()
message["author"] = "John Doe"
message["read"] = False
graph.push(message)

# 返回更新后的节点
print(message)

把value字典json.dumps json字符串就可保存

import json

# 创建一个字典
my_dict = {"key1": "value1", "key2": "value2"}

# 将字典转换为字符串
dict_str = json.dumps(my_dict)

# 更新 Message 节点的属性
message["content"] = "This is the content of the message."
message["timestamp"] = datetime.datetime.now().isoformat()
message["author"] = "John Doe"
message["read"] = False
message["my_dict"] = dict_str  # 将字典作为字符串存储

# 将更新后的节点推送到数据库
graph.push(message)

# 返回更新后的节点
print(message)

使用Cypher预警：

results = graph.run('CREATE (database:Database {name:"Neo4j"})-[r:SAYS]->(message:Message {name:"Hello World!"}) RETURN database, message, r')