Neo4j做为一个图数据库,其名字的由来其实与其在底层的存储方式有关,Neo4j底层会以图的方式把用户定义的节点以及关系存储起来,经过这种方式,但是高效的实现从某个节点开始,经过节点与节点间关系,找出两个节点间的联系。
目前Neo4j常见于如下使用场景:
社交网络
基于图的搜索
推荐引擎
企业基础设施及网络架构
如:天眼查网站各企业之间关联关系图等。
本文重点介绍HA环境的部署,在一台服务器上模拟三个节点。实际生产环境可分开在不一样的服务器部署,配置文件按照不一样的IP及端口作相应的修改便可。php
[root@appcan-t-app-7 ~]# more /etc/profile export JAVA_HOME=/usr/local/jdk1.8.0_60 export JRE_HOME=${JAVA_HOME}/jre export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib export PATH=${JAVA_HOME}/bin:$PATH [root@appcan-t-app-7 ~]# java -version java version "1.8.0_60" Java(TM) SE Runtime Environment (build 1.8.0_60-b27) Java HotSpot(TM) 64-Bit Server VM (build 25.60-b23, mixed mode)
wget https://neo4j.com/artifact.php?name=neo4j-community-3.4.9-unix.tar.gz (当前最新版本,可去网站选择适用版本)
tar xf neo4j-community-3.4.9-unix.tar.gz -C /usr/local/ cd /usr/local/neo4j-community-3.4.9-unix/ ./bin/neo4j-installer install systemctl status neo4j-service
经过修改conf/neo4j.properties和conf/neo4j-server.properties文件完成HA配置。html
(1)conf/neo4j.properties: ## ha.server_id = 1 ha.server = 127.0.0.1:6363 online_backup_server = 127.0.0.1:6366 ha.cluster_server = 127.0.0.1:5001 ha.initial_hosts = 127.0.0.1:5001,127.0.0.1:5002,127.0.0.1:5003 ***************************************************************** ***************************************************************** (2)conf/neo4j-server.properties ## org.neo4j.server.database.location=data/graph.db org.neo4j.server.webserver.port=7474 org.neo4j.server.webserver.address=0.0.0.0 org.neo4j.server.webserver.https.port=7484 org.neo4j.server.database.mode=HA
(1)conf/neo4j.properties: ## ha.server_id = 2 ha.server = 127.0.0.1:6364 online_backup_server = 127.0.0.1:6367 ha.cluster_server = 127.0.0.1:5002 ha.initial_hosts = 127.0.0.1:5001,127.0.0.1:5002,127.0.0.1:5003 ***************************************************************** ***************************************************************** (2)conf/neo4j-server.properties ## org.neo4j.server.database.location=data/graph.db org.neo4j.server.webserver.port=7475 org.neo4j.server.webserver.address=0.0.0.0 org.neo4j.server.webserver.https.port=7485 org.neo4j.server.database.mode=HA
(1)conf/neo4j.properties: ## ha.server_id = 3 ha.server = 127.0.0.1:6365 online_backup_server = 127.0.0.1:6368 ha.cluster_server = 127.0.0.1:5003 ha.initial_hosts = 127.0.0.1:5001,127.0.0.1:5002,127.0.0.1:5003 ***************************************************************** ***************************************************************** (2)conf/neo4j-server.properties ## org.neo4j.server.database.location=data/graph.db org.neo4j.server.webserver.port=7476 org.neo4j.server.webserver.address=0.0.0.0 org.neo4j.server.webserver.https.port=7486 org.neo4j.server.database.mode=HA
依次启动:
./bin/neo4j start
检测:
#jps
17131 CommunityBootstrapper
17324 CommunityBootstrapper
16959 CommunityBootstrapperjava
WEB界面展现:web
插入一个Person类别的节点,且这个节点有一个属性name,属性值为Andres数据库
CREATE (n:Person { name : 'Andres'});
插入一条a到b的有向边,且边的类别为Follow服务器
MATCH (a:Person),(b:Person) WHERE a.name = 'Node A' AND b.name = 'Node B' CREATE (a)-[r:Follow]->(b);
更新一个Person类别的节点,设置新的name。网络
MATCH (n:Person { name: 'Andres' }) SET n.name = 'Taylor';
Neo4j中若是一个节点有边相连,是不能单单删除这个节点的。架构
MATCH (n:Person { name:'Andres' }) DETACH DELETE n;
MATCH (a:Person)-[r:Follow]->(b:Person) WHERE a.name = 'Andres' AND b.name = 'Taylor' DELETE r;
最短路径:app
MATCH (ms:Person { name:'Andres' }),(cs:Person { name:'Taylor' }), p = shortestPath((ms)-[r:Follow]-(cs)) RETURN p;
查询两个节点之间的关系:ide
MATCH (a:Person { name:'Andres' })-[r]->(b:Person { name:'Taylor' }) RETURN type(r);
查询一个节点的全部Follower:
MATCH (:Person { name:'Taylor' })-[r:Follow]->(Person) RETURN Person.name;
建立惟一性约束,同时具备索引效果,相似关系型数据库中的主键。注意,这只能在数据库中还未插入数据时设置。
CREATE CONSTRAINT ON (a:Person) ASSERT a.name IS UNIQUE;
建立索引:
CREATE INDEX ON :Person(name);
查看全部的节点数和边数:
MATCH (n) RETURN count(n); MATCH ()-->() RETURN count(*);
一、http://www.javashuo.com/article/p-yovduyve-gn.html
二、http://www.cnblogs.com/rubinorth/p/5853204.html
三、https://neo4j.com/docs/2.0.2/ha-setup-tutorial.html