大多数图数据库都可以导入csv格式的数据，Node数据和Relation数据分开。
现有演员（person.csv），电影（movie.csv），演员和电影关系person_to_movie.csv文件（忽略数据真实性QAQ）csv文件中的值若有‘或者"则需要用三个单引号将整个值括起来：
Person.csv
"pid","birth","death","name"
"643","1965-12-31",,"巩俐"
"695","1937-03-16","1999-04-14","乔宏"
"1336","1963-04-26",,"李连杰"
"1337","1962-06-27",,"梁朝伟"
########################################################
Movie.csv
"mid","title"
"13","Forrest Gump"
"12780","少年黄飞鸿之铁马骝"
"14310","无间道III: 终极无间"
"15384","赤壁"
#########################################################
person_to_movie.csv
"pid","mid"
643,12780
695,13
1336,14310
1337,15384
695,15384
导入数据（需要早命令行中使用）：
LOAD CSV WITH HEADERS FROM 'file:///person.csv' AS line MERGE (p:Person { pid:toInteger(line.pid),birth:line.birth,death:line.death,name:line.name})
LOAD CSV WITH HEADERS FROM "file:///movie.csv" AS line
MERGE (p:Movie{mid:toInteger(line.mid),title:line.title})
LOAD CSV WITH HEADERS FROM "file:///person_to_movie.csv" AS line
match (from:Person{pid:toInteger(line.pid)}),(to:Movie{mid:toInteger(line.mid)})
merge (from)-[r:actedin{pid:toInteger(line.pid),mid:toInteger(line.mid)}]->(to)
查询（可以在客户端中查询）：
查询全部图(节点太多的话不能显示全部节点)：match (n) return n
查询出演同一部电影的演员：
match (p1:Person)-[:actedin]->(m:Movie{mid:"15384"})<-[:actedin]-(p2:Person) return m.title
单独创建节点：
create(p:Person {birth:"2000-09-12",death:"",name:"王俊凯"})
创建关系：
create (a:Person{name:"王俊凯"})-[:二级2产品]->(b:Movie{mid:"14310"})
删除全部节点和关系
match(n) detach delete n
创建唯一约束：
create constraint on (p:Person) assert(p.name) is unique
建索引：
create index on :Person(name)
删除索引：
DROP INDEX ON :Person(name)
删除唯一约束：
drop constraint on (p:Person) assert(p.name) is unique
展示索引：
CALL db.indexes
复合索引在查询的时候要带上所有索引列查询，否则不起作用，而且只对n.property = x 或者 n.property in list这种语法有效，其他不有效
