CYPHER 语句(Neo4j)

Posted 2020-10-18 aongao

CYPHER 语句(Neo4j)

• 创建电影关系图 
• 新增
• 查找
• 修改
• 删除
• 导入
• 格式转换

 

创建电影关系图

CREATE (TheMatrix:Movie {title:\'The Matrix\', released:1999, tagline:\'Welcome to the Real World\'})
CREATE (Keanu:Person {name:\'Keanu Reeves\', born:1964})
CREATE (Carrie:Person {name:\'Carrie-Anne Moss\', born:1967})
CREATE (Laurence:Person {name:\'Laurence Fishburne\', born:1961})
CREATE (Hugo:Person {name:\'Hugo Weaving\', born:1960})
CREATE (LillyW:Person {name:\'Lilly Wachowski\', born:1967})
CREATE (LanaW:Person {name:\'Lana Wachowski\', born:1965})
CREATE (JoelS:Person {name:\'Joel Silver\', born:1952})
CREATE
  (Keanu)-[:ACTED_IN {roles:[\'Neo\']}]->(TheMatrix),
  (Carrie)-[:ACTED_IN {roles:[\'Trinity\']}]->(TheMatrix),
  (Laurence)-[:ACTED_IN {roles:[\'Morpheus\']}]->(TheMatrix),
  (Hugo)-[:ACTED_IN {roles:[\'Agent Smith\']}]->(TheMatrix),
  (LillyW)-[:DIRECTED]->(TheMatrix),
  (LanaW)-[:DIRECTED]->(TheMatrix),
  (JoelS)-[:PRODUCED]->(TheMatrix)
  
CREATE (Emil:Person {name:"Emil Eifrem", born:1978})
CREATE (Emil)-[:ACTED_IN {roles:["Emil"]}]->(TheMatrix)

CREATE (TheMatrixReloaded:Movie {title:\'The Matrix Reloaded\', released:2003, tagline:\'Free your mind\'})
CREATE
  (Keanu)-[:ACTED_IN {roles:[\'Neo\']}]->(TheMatrixReloaded),
  (Carrie)-[:ACTED_IN {roles:[\'Trinity\']}]->(TheMatrixReloaded),
  (Laurence)-[:ACTED_IN {roles:[\'Morpheus\']}]->(TheMatrixReloaded),
  (Hugo)-[:ACTED_IN {roles:[\'Agent Smith\']}]->(TheMatrixReloaded),
  (LillyW)-[:DIRECTED]->(TheMatrixReloaded),
  (LanaW)-[:DIRECTED]->(TheMatrixReloaded),
  (JoelS)-[:PRODUCED]->(TheMatrixReloaded)

  (Keanu)-[:ACTED_IN {roles:[\'Julian Mercer\']}]->(SomethingsGottaGive),
  (NancyM)-[:DIRECTED]->(SomethingsGottaGive),
  (NancyM)-[:PRODUCED]->(SomethingsGottaGive),
  (NancyM)-[:WROTE]->(SomethingsGottaGive) 

查找

查看节点所有属性

match (n:LOGIC_SUBJECT) unwind keys(n) as key return distinct key;

 

属性查找

#查找无age属性的节点
match(n:Person) WHERE n.age is not null RETURN n
#查找有age属性的节点
match(n:Person) WHERE n.age is  null RETURN n

查找两个节点是否存在多个相同关系

match(m)-[r]-(n) where size((m)-[:relationship]-(n))>1 return *

模糊查找

#查找name中以"J"开头的内容
match(n:Person) where n.NAME=~ \'J.*\' return n

查询标签属性信息

match (n:场景) unwind keys(n) as key return distinct key;

 

 

新增

新增节点

#新增Jack T 和 Tom T 两个人
create (:Person{name:\'Jack T\'}),(:Person{name:\'Tom T\'})
match(m:Person{name:\'Jack T\'}),(n:Person{name:\'Tom T\'})  return n,m

 

 

新增边

#Jack T 是Tom T的朋友
match(m:Person{name:\'Jack T\'}),(n:Person{name:\'Tom T\'}) create (m)-[r:friend_to]->(n) return n,r,m

 

 

新增属性

match(n:Person) where n.name=\'Jack T\'  set n+={age:15} return n

 

 

修改

修改属性

#单个节点
match(n:Person) where n.name=\'Keanu Reeves\'  set n.age=16 return n

#批量节点 如果没有改属性，则会新增
match(n:Person)  set n.age=16 return n

 复制属性

match (m { name:\'Keanu Reeves\' }),(n { name: \'Hugo Weaving\' }) set n = m return n,m

 修改节点名称

match(n:INTERFACE) set n:T_BDM_ITFS
match(n:T_BDM_ITFS) remove  n:INTERFACE

 

字符串处理

截取部分字符串

MATCH (n:LOGIC_SUBJECT) RETURN substring(n.NAME,0,4)

 

 

删除

 删除属性

#单个节点删除属性
match(n:Person) where n.age=17 remove n.age

#批量删除属性
match(n:Person) remove n.age

 

导入

CSV文件

#import 文件夹下
load csv with headers from \'file:///fileName.csv\' as newLables
create(n:LableNewName) set Lable = newLables

LOAD CSV FROM \'file:///abc.csv\' AS line
CREATE (:T_BDM_PANORAMA {name: line[2], sid:line[1]})

 

 格式转换

LOAD CSV FROM \'https://neo4j.com/docs/developer-manual/3.3/csv/artists.csv\' AS line
#字符串转换成整型 toInteger
CREATE (:Artist { name: line[1], year: toInteger(line[2])})

 

数据迁移

match(n:PROJECT_SG_CIM3_5) return n.name as name,id(n) as oldID;

match(n:PROJECT_SG_CIM3_5)-[r]->(m:PROJECT_SG_CIM3_5) return id(startNode(r)) as startId_BUS_CLASS,id(endNode(r)) as endId_BUS_CLASS;

load csv with headers from "file:///a661.csv" as row match (n:LOGIC_OBJECT{oldID:row.startId_BUS_CLASS}),(m:LOGIC_OBJ_DETAIL{oldID:row.endId_BUS_CLASS}) create (n)-[:LOG_OBJ_TO_OBJ_DET]->(m);

LOAD CSV WITH HEADERS  FROM "file:///label.csv" AS line
create (:SYS{id:line.ID,name:line.NAME})

load csv with headers from "file:///relation.csv" as row match (n:SYS{id:row.first}),(m:SYS{id:row.second}) 
create (n)-[:LINE{name:row.NAME}]->(m);