neo4j导入csv文件

1、我有两个节点,分别是Person和 Moive,有 Person-:ACTED_IN->Moive (ACTED_IN是参演关系,表示某个人参演了某个电影),Person-:DIRECTED->Moive (DIRECTED表示是执导关系,表示某个人执导了某部电影),Person-:REVIEWED->Moive (REVIEWED是编剧关系,表示某个人是某部电影的编剧),Person-:FOLLOWS->Person(FOLLOWS是关注关系,表示某个人关注了另一个人)

2、首先导入Node节点的csv文件,首先 csv文件必须要放在 neo4j安装目录的import文件夹下

bash 复制代码
LOAD CSV WITH HEADERS FROM 'file:///person.csv' AS row
CREATE (n:Person {personId:row.personId ,name: row.name, born: toInteger(row.born)})


LOAD CSV WITH HEADERS FROM 'file:///movie.csv' AS row
CREATE (n:Movie {movieId:row.movieId,title: row.title, votes: toInteger(row.votes),tagline:row.tagline,released:toInteger(row.released)})

我本地的数据路径如下

3、导入关系文件

bash 复制代码
//参演
LOAD CSV WITH HEADERS FROM 'file:///r_ACTED_IN_person_2_moive.csv' AS row
MATCH (p:Person {name: row.`:START_ID`})
MATCH (m:Movie {tagline: row.`:END_ID`})
MERGE (p)-[r:ACTED_IN]->(m)
SET r.roles = row.roles

//指导
LOAD CSV WITH HEADERS FROM 'file:///r_DIRECTED_person_2_moive.csv' AS row
MATCH (p:Person {name: row.`:START_ID`})
MATCH (m:Movie {tagline: row.`:END_ID`})
MERGE (p)-[r:DIRECTED]->(m)

//REVIEWED 编剧
LOAD CSV WITH HEADERS FROM 'file:///r_REVIEWED_person_2_movie.csv' AS row
MATCH (p:Person {name: row.`:START_ID`})
MATCH (m:Movie {tagline: row.`:END_ID`})
MERGE (p)-[r:REVIEWED]->(m)
SET r.summary = row.summary ,r.rating = row.rating

//关注
LOAD CSV WITH HEADERS FROM 'file:///r_FOLLOWS_person_2_person.csv' AS row
MATCH (p:Person {name: row.`:START_ID`})
MATCH (m:Person {name: row.`:END_ID`})
MERGE (p)-[r:FOLLOWS]->(m)

3、导入完成后,可以看到如下

4、如果想导出可以直接执行的csv文件,首先要先写match语句,如下(适合数据量不大的情况)

bash 复制代码
MATCH (p:Person)-[r:ACTED_IN]->(m:Movie)
RETURN 
     p.name AS `:START_ID`, 
     'ACTED_IN' AS `:TYPE`, 
     m.tagline AS `:END_ID`, 
     r.roles AS roles

MATCH (p:Person)-[r:DIRECTED]->(m:Movie)
RETURN 
     p.name AS `:START_ID`, 
     'DIRECTED' AS `:TYPE`, 
     m.tagline AS `:END_ID` 

MATCH (p:Person)-[r:REVIEWED]->(m:Movie)
RETURN 
     p.name AS `:START_ID`, 
     'REVIEWED' AS `:TYPE`, 
     m.tagline AS `:END_ID`,
     r.summary as summary,
     r.rating as rating

MATCH (p:Person)-[r:FOLLOWS]->(m:Person)
RETURN 
     p.name AS `:START_ID`, 
     'FOLLOWS' AS `:TYPE`, 
     m.name AS `:END_ID`
相关推荐
xing-xing6 天前
Neo4j学习总结
neo4j
JOker_Chu_8 天前
知识图谱详解:从图结构、关系建模到查询与应用
数据库·知识图谱·database·neo4j
veminhe10 天前
使用neo4j构建知识图谱
人工智能·知识图谱·neo4j
星川皆无恙14 天前
大数据知识图谱项目:基于neo4j知识图谱+flask的大数据电影问答系统(超详细讲解及源码)
大数据·知识图谱·neo4j
jinggongszh15 天前
企业知识库的第三条路:PG16做事实源,Neo4j做图投影
知识图谱·neo4j·rag·企业知识库·postgresql 16·证据链
是赵敢敢啊1 个月前
自定义注解@SyncNeo4j实现增删改导入时自动同步数据节点和关系到Neo4j
neo4j
心念枕惊1 个月前
Conda 环境一键搬家:用 conda-pack 打包带走,连网都不用
conda·neo4j
码农学院1 个月前
Neo4j知识图谱赋能跨境电商GEO:LLM实体识别与AI搜索引擎结构化数据输出实战
人工智能·知识图谱·neo4j
TE-茶叶蛋1 个月前
RAG智能电商客服什么时候上Neo4j?
neo4j
羊羊小栈1 个月前
基于GraphRAG的税务财务智能问答系统(Neo4j_大语言模型)
人工智能·算法·语言模型·自然语言处理·毕业设计·neo4j·大作业