Neo4j 实现一个简单的CMDB管理平台
简介
Neo4j是一个高性能的图形数据库管理系统,它使用图形模型来存储和查询数据。图形数据库与传统的关系型数据库不同,它们使用节点和边来表示数据实体和它们之间的关系,而不是使用表格和行,可以使用neo4j实现权限系统,知识图谱,cmdb等
部署
docker run -d --name=neo4j \
--publish=7474:7474 --publish=7687:7687 \
--volume=$HOME/neo4j/data:/data \
--volume=$HOME/neo4j/logs:/logs \
--volume=$HOME/neo4j/import:/var/lib/neo4j/import \
--volume=$HOME/neo4j/plugins:/plugins \
neo4j:latest
neo4j密码
docker logs neo4j 2>&1 | grep 'Initial password'
访问地址:http://ip:7474
创建节点
# ()表示一个node节点,n是一个别名,tag是标签,{}是该节点的属性及该属性对应的值,可以有多个不同属性,属性和标签可以忽略
create (n:tag {"property":"属性值"})
创建节点与节点关联关系
# 先匹配要建立关联关系的两个节点,其次才创建关联关系
# 栗子
match (p1:instance {property:"192.168.1.1"}),(p2:env {property:"测试环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
# 先匹配出标签为`instance`,属性`property`的值为`192.168.1.1`以及标签为`env`,属性`property`的值为`测试环境`的两个节点,分别为p1和p2,创建p1指向p2的关联关系
`[r:envre {relation:''}]`:[]代表关联关系,r是一个别名,envre代表这个关联关系类型的标签。{}代表关联关系的属性,支持多个不同的属性
新增逻辑环境节点
Create (n:env {property:"生产环境"});
Create (n:env {property:"测试环境"});
新增主机实例节点
Create (n:instance {system:"Centos Linux",property:"192.168.1.1"});
Create (n:instance {system:"Centos Linux",property:"192.168.1.2"});
Create (n:instance {system:"Centos Linux",property:"192.168.1.3"});
Create (n:instance {system:"Centos Linux",property:"192.168.1.4"});
Create (n:instance {system:"Centos Linux",property:"192.168.1.5"});
Create (n:instance {system:"Centos Linux",property:"192.168.2.1"});
Create (n:instance {system:"Ubuntu Linux",property:"192.168.2.2"});
Create (n:instance {system:"Centos Linux",property:"192.168.2.3"});
Create (n:instance {system:"SUSE Linux",property:"192.168.2.4"});
Create (n:instance {system:"Centos Linux",property:"192.168.2.5"});
创建主机与逻辑环境关联关系
#192.168.1.x段的ip归属于测试环境
#192.168.2.x段的ip归属于生产环境
match (p1:instance {property:"192.168.1.1"}),(p2:env {property:"测试环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
match (p1:instance {property:"192.168.1.2"}),(p2:env {property:"测试环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
match (p1:instance {property:"192.168.1.3"}),(p2:env {property:"测试环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
match (p1:instance {property:"192.168.1.4"}),(p2:env {property:"测试环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
match (p1:instance {property:"192.168.1.5"}),(p2:env {property:"测试环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
match (p1:instance {property:"192.168.2.1"}),(p2:env {property:"生产环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
match (p1:instance {property:"192.168.2.2"}),(p2:env {property:"生产环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
match (p1:instance {property:"192.168.2.3"}),(p2:env {property:"生产环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
match (p1:instance {property:"192.168.2.4"}),(p2:env {property:"生产环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
match (p1:instance {property:"192.168.2.5"}),(p2:env {property:"生产环境"}) create (p1)-[r:envrel {relation:''}]->(p2);
新增应用服务节点
Create (n:service {servicetype:"application",property:"权限系统"});
Create (n:service {servicetype:"email",property:"邮件服务"});
Create (n:service {servicetype:"database",property:"Mysql"});
Create (n:service {servicetype:"application",property:"测试系统"});
Create (n:service {servicetype:"application",property:"oa系统"});
创建服务与主机关联关系
match (p1:service {property:"oa系统"}),(p2:instance {property:"192.168.2.1"}) create (p1)-[r:servicerel {relation:'隶属于'}]->(p2);
match (p1:service {property:"权限系统"}),(p2:instance {property:"192.168.2.2"}) create (p1)-[r:servicerel {relation:'隶属于'}]->(p2);
match (p1:service {property:"邮件服务"}),(p2:instance {property:"192.168.2.3"}) create (p1)-[r:servicerel {relation:'隶属于'}]->(p2);
match (p1:service {property:"Mysql"}),(p2:instance {property:"192.168.2.4"}) create (p1)-[r:servicerel {relation:'隶属于'}]->(p2);
match (p1:service {property:"测试系统"}),(p2:instance {property:"192.168.1.1"}) create (p1)-[r:servicerel {relation:'隶属于'}]->(p2);
match (p1:service {property:"oa系统"}),(p2:service {property:"Mysql"}) create (p1)-[r:depend {relation:'依赖于'}]->(p2);
匹配所有节点信息
列出所有节点及关联信息,这样可以很清晰的看出主机与服务及逻辑环境的关联关系
match (n)
return (n)
匹配某个节点
match(n)
WHERE id(n) = <节点ID>
return n
匹配某个节点及与他关联的节点
match(n1)-[r]-(n2)
where id(n1)=15
return (n1),r,n2
设置节点属性
# 为节点id为123的节点设置一个属性为name,值为John Doe
MATCH (n)
WHERE id(n) = 123
SET n.name = 'John Doe'
删除节点属性
# 移除节点id为123的name属性
MATCH (n)
WHERE id(n) = 123
REMOVE n.name
删除单个节点
注意:若该节点与其他节点有关联关系则会删除失败
MATCH (n)
WHERE id(n) = <节点ID>
DELETE n
删除节点及关联关系
MATCH (n)
WHERE id(n) = <节点ID>
DETACH DELETE n
标签:p2,p1,平台,192.168,instance,match,Neo4j,property,CMDB
From: https://www.cnblogs.com/jruing/p/18525808