Neo4j

1. docker run -it -d \
2.     --publish=7474:7474 --publish=7687:7687 \
3.     --volume=/home/abc/neo4jdata:/data \
4.     --volume=/home/abc/neo4jimport:/var/lib/neo4j/import \
5.     neo4j
7. #neo4j
8. LOAD CSV WITH HEADERS FROM "file:///user.txt" AS row
9. CREATE (:UserPerson {id: row.id, user_id: row.user_id, user_name: row.user_name});
11. CREATE INDEX ON :UserPerson(id);
14. LOAD CSV WITH HEADERS FROM "file:///gx.txt" AS row
15. MATCH (entity1:UserPerson{id:row.father_id}) , (entity2:UserPerson{id:row.id})
16. create (entity1)-[r:gx]->(entity2)
17. //返回 张莱柠 下三层数据
18. MATCH p=(n:UserPerson{user_name:'张莱柠'})-[*..3]->() return p
19. //返回 张莱柠 下最深的路径
20. MATCH path=(person:UserPerson)-[:gx*]->(x)
21. WHERE person.user_name = '张莱柠' AND NOT EXISTS((x)-[:gx]->())
22. WITH person, path
23. ORDER BY LENGTH(path) DESC
24. LIMIT 1
25. RETURN person, [n IN NODES(path) | n.user_name] AS ids, LENGTH(path) AS depth
26. //返回 下所有子节点
27. MATCH path=(person:UserPerson)-[:gx*]->(x)
28. WHERE person.user_name = '张莱柠'
29. return count(x)
30. # 使用函数，查询张莱柠与张三的最短路径
31. match p=shortestpath((:UserPerson{user_name:"张莱柠"})-[*..5]->(:UserPerson{user_name:"张三"})) return p;

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