1.删除带有关系的节点

  a、先删除关系 match (n:Node)-[r:关系名称]-() where (n...条件) delete r

  b、删除节点 match (n:Node) where (n...条件)  delete n



2.批量更新

  :param batch:[{prop1:'property1',prop2:'property2'},{prop1:'property11',prop2:'property22'}]

UNWIND $batch  as data MATCH (c:Label1)-[r:关系]->(d:Label2) where c.prop1= data.prop1 and d.prop2=data.prop2 set r.prop= data.prop



3.更新关系名称

  .apoc

match (c:DictProduct)-[r:原关系]-(d:DictProduct) with r

call apoc.refactor.setType(r, '新关系') yield input,output return *



4.导出数据

  ./neo4j-admin  dump --database=kg.db --to=../

5.导入数据(dump文件)

  ./neo4j-admin load --from=./graph.db.dump --database=neo4j.db --force=true

  导入数据(csv文件)

    using periodic commit 1000 load csv from  "http://127.0.0.1:8080/data.csv"  as row CREATE (:Node{id:toInt(row[0]),prop1:toInt(row[1]),prop2:row[2],prop3:row[3],prop4:row[4]})



6.删除重复关系数据

   MATCH (a)-[r:相关公司]->(b) WITH a, b, TAIL (COLLECT (r)) as rr WHERE size(rr)>0

   FOREACH (r IN rr | DELETE r)





7.bolt链接报错的时候

Config noSSL = Config.build().withEncryptionLevel(Config.EncryptionLevel.NONE).toConfig();

Driver driver = GraphDatabase.driver( “bolt://127.0.0.1:7687”, AuthTokens.basic( “neo4j”, “nel4j” ), noSSL );

Session session = driver.session();



8.批量删除

MATCH (n:Node) where n.prop = 'prop' WITH n LIMIT 10000 DELETE n



9.apoc 路径搜索(apoc)

match (startNode:Node{id:'00001'}),(endNode:Node2{id:00002}) CALL apoc.algo.dijkstra(startNode,endNode,'','min_travel_time') YIELD path,weight return path,weight

match (startNode:Node{id:'00001'}),(endNode:Node2{id:00002}) CALL apoc.algo.dijkstra(startNode,endNode,'','distance') YIELD path,weight return path,weight

原文地址：https://www.iteye.com/blog/wcq881215-2432800