py2neo—3.1.2、 python3.6。 neo4j3.5
连接neo4j
# -*- coding: utf-8 -*-
from py2neo import Graph, Node, Relationship, NodeSelector
graph = Graph("http://localhost:7474", username="neo4j", password='password')
graph.delete_all()
'''
1 —— 创建node,函数第一个参数是节点类型,第二个参数是value值
'''
a = Node('PersonTest', name='张三')
b = Node('PersonTest', name='李四')
r = Relationship(a, 'KNOWNS', b)
s = a | b | r
graph.create(s)
Input:
# 用CQL进行查询,返回的结果是list
data1 = graph.data('MATCH(p:PersonTest) return p')
print("data1 = ", data1, type(data1))
output:整体输出,并未单条输出
data1 = [{'p': (ab38fb4:PersonTest {name:"张三"})}, {'p': (ec86073:PersonTest {name:"李四"})}] <class 'list'>
Input:find_one方法
# 用find_one()方法进行node查找,返回的是查找node的第一个node
data2 = graph.find_one(label='PersonTest', property_key='name', property_value="李四")
print ("data2 = ", data2, type(data2))
output:输出一条
data2 = (ec86073:PersonTest {name:"李四"}) <class 'py2neo.types.Node'>
Input:find方法,遍历输出单条
# 用find()方法进行node查找,需要遍历输出,类似于mongodb
data3 = graph.find(label='PersonTest')
for data in data3:
print ("data3 = ", data)
output:
data3 = (ab38fb4:PersonTest {name:"张三"})
data3 = (ec86073:PersonTest {name:"李四"})
'''
3 —— Relationship查询
'''
relationship = graph.match_one(rel_type='KNOWNS')
print (relationship, type(relationship))
Output:
(b55c600)-[:KNOWNS]->(b811b1f) <class 'py2neo.types.Relationship'>
'''
4 —— 更新Node的某个属性值,若node没有该属性,则新增该属性
'''
node1 = graph.find_one(label='PersonTest', property_key='name', property_value="张三")
node1['age'] = 21
graph.push(node1)
data4 = graph.find(label='PersonTest')
for data in data4:
print ("data4 = ", data)
output:
data4 = (a2d68e1:PersonTest {age:21,name:"张三"})
data4 = (e4a1ab9:PersonTest {name:"李四"})
基于上面的操作,再次定义node1[‘age’] = 99,并执行graph.push(node1),发现已经更新
node1['age'] = 99
graph.push(node1)
data5 = graph.find(label='PersonTest')
for data in data5:
print ("data5 = ", data)
output:
data5 = (a2d68e1:PersonTest {age:99,name:"张三"})
data5 = (e4a1ab9:PersonTest {name:"李四"})
'''
5 —— 删除某node,在删除node之前需要先删除relationship
'''
node = graph.find_one(label='PersonTest', property_key='name', property_value="李四")
relationship = graph.match_one(rel_type='KNOWNS')
graph.delete(relationship)
graph.delete(node)
data6 = graph.find(label='PersonTest')
for data in data6:
print ("data6 = ", data)
output:
没有输出
'''
6 —— 多条件查询
'''
a = Node('PersonTest', name='张三', age=21, location='广州')
b = Node('PersonTest', name='李四', age=22, location='上海')
c = Node('PersonTest', name='王五', age=21, location='北京')
r1 = Relationship(a, 'KNOWS', b)
r2 = Relationship(b, 'KNOWS', c)
s = a | b | c | r1 | r2
graph.create(s)
data7 = graph.find(label='PersonTest')
for data in data7:
print ("data7 = ", data)
output:
data7 = (`张三`:PersonTest {age:21,location:"广州",name:"张三"})
data7 = (`李四`:PersonTest {age:22,location:"上海",name:"李四"})
data7 = (`王五`:PersonTest {age:21,location:"北京",name:"王五"})
# 单条件查询,返回的是多个结果
selector = NodeSelector(graph)
persons = selector.select('PersonTest', age=21)
print("data8 = ", list(persons))
output:整体一条输出
data8 = [(ca77b49:PersonTest {age:21,location:"广州",name:"张三"}), (a4efa9c:PersonTest {age:21,location:"北京",name:"王五"})]
# 多条件查询
selector = NodeSelector(graph)
persons = selector.select('PersonTest', age=21, location='广州')
print("data9 = ", list(persons))
output:
data9 = [(c14b444:PersonTest {age:21,location:"广州",name:"张三"})]
# orderby进行更复杂的查询
selector = NodeSelector(graph)
persons = selector.select('PersonTest').order_by('_.age')
for data in persons:
print ("data10 = ", data)
data10 = (a3c4b1d:PersonTest {age:21,location:"广州",name:"张三"})
data10 = (a6492e5:PersonTest {age:21,location:"北京",name:"王五"})
data10 = (e155f3b:PersonTest {age:22,location:"上海",name:"李四"})
整理日期:2018-08-16