neo4j企业版集群搭建
一、HA高可用集群搭建
版本采用的是neo4j-enterprise-3.5.3-unix.tar.gz
1.1、集群ip规划
192.168.56.10 neo4j-node1
192.168.56.11 neo4j-node2
192.168.56.12 neo4j-node3
192.168.56.13 neo4j-node4
192.168.56.14 neo4j-node5
1.2、免密登录配置
$ ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa #生成秘钥
$ cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys #cp公钥到验证文件中
$ chmod 0600 ~/.ssh/authorized_keys
如上做免密登录，这里只做了neo4j-node1 免密登录其他节点
这里做不做免密，都可以，我做免密主要是为了方便，不需要一直输入密码，在正式环境中还是不用免密的好
1.3、修改主机名配置
/etc/hosts配置
192.168.56.10 neo4j-node1
192.168.56.11 neo4j-node2
192.168.56.12 neo4j-node3
192.168.56.13 neo4j-node4
/etc/sysconfig/network配置
hostname neo4j-node1
重启网卡
$ systemctl restart network
如上内容完成之后退出重新登录，修改主机名的设置就能生效
1.4、neo4j文件配置
官方配置参数详细列表
https://neo4j.com/docs/operations-manual/current/ha-cluster/tutorial/setup-cluster/
官方HA配置模式
https://neo4j.com/docs/operations-manual/current/ha-cluster/tutorial/setup-cluster/
分别在三台不同机器上进行修改配置文件，conf/neo4j.conf
neo4j-node1
# Unique server id for this Neo4j instance
# can not be negative id and must be unique
ha.server_id=1
# List of other known instances in this cluster
ha.initial_hosts=neo4j-node1:5001,neo4j-node2:5001,neo4j-node3:5001
# Alternatively, use IP addresses:
#ha.initial_hosts=192.168.0.20:5001,192.168.0.21:5001,192.168.0.22:5001
# HA - High Availability
# SINGLE - Single mode, default.
dbms.mode=HA
# HTTP Connector
dbms.connector.http.enabled=true
dbms.connector.http.listen_address=:7474
neo4j-node2
# Unique server id for this Neo4j instance
# can not be negative id and must be unique
ha.server_id=2
# List of other known instances in this cluster
ha.initial_hosts=neo4j-node1:5001,neo4j-node2:5001,neo4j-node3:5001
# Alternatively, use IP addresses:
#ha.initial_hosts=192.168.0.20:5001,192.168.0.21:5001,192.168.0.22:5001
# HA - High Availability
# SINGLE - Single mode, default.
dbms.mode=HA
# HTTP Connector
dbms.connector.http.enabled=true
dbms.connector.http.listen_address=:7474
neo4j-node3
# Unique server id for this Neo4j instance
# can not be negative id and must be unique
ha.server_id=3
# List of other known instances in this cluster
ha.initial_hosts=neo4j-node1:5001,neo4j-node2:5001,neo4j-node3:5001
# Alternatively, use IP addresses:
#ha.initial_hosts=192.168.0.20:5001,192.168.0.21:5001,192.168.0.22:5001
# HA - High Availability
# SINGLE - Single mode, default.
dbms.mode=HA
# HTTP Connector
dbms.connector.http.enabled=true
dbms.connector.http.listen_address=:7474
根据上面官方给出的配置，启动的时候会报错的，报错信息如下：
logs/neo4j.log
2019-03-07 03:43:22.176+0000 INFO ======== Neo4j 3.5.3 ========
2019-03-07 03:43:22.194+0000 INFO Starting...
2019-03-07 03:43:24.254+0000 INFO Write transactions to database disabled
2019-03-07 03:43:24.662+0000 INFO Initiating metrics...
2019-03-07 03:43:26.000+0000 INFO Attempting to join cluster of [neo4j-node1:5001, neo4j-node2:5001, neo4j-node3:5001]
2019-03-07 03:44:56.174+0000 ERROR Failed to start Neo4j: Starting Neo4j failed: Component 'org.neo4j.server.database.LifecycleManagingDatabase@1e141e42' was successfully initialized, but failed to start. Please see the attached cause exception "Conversation-response mapping:
{1/13#=ResponseFuture{conversationId='1/13#', initiatedByMessageType=join, response=null}}". Starting Neo4j failed: Component 'org.neo4j.server.database.LifecycleManagingDatabase@1e141e42' was successfully initialized, but failed to start. Please see the attached cause exception "Conversation-response mapping:
{1/13#=ResponseFuture{conversationId='1/13#', initiatedByMessageType=join, response=null}}".
org.neo4j.server.ServerStartupException: Starting Neo4j failed: Component 'org.neo4j.server.database.LifecycleManagingDatabase@1e141e42' was successfully initialized, but failed to start. Please see the attached cause exception "Conversation-response mapping:
{1/13#=ResponseFuture{conversationId='1/13#', initiatedByMessageType=join, response=null}}".
at org.neo4j.server.exception.ServerStartupErrors.translateToServerStartupError(ServerStartupErrors.java:45)
at org.neo4j.server.AbstractNeoServer.start(AbstractNeoServer.java:184)
at org.neo4j.server.ServerBootstrapper.start(ServerBootstrapper.java:123)
at org.neo4j.server.ServerBootstrapper.start(ServerBootstrapper.java:90)
at com.neo4j.server.enterprise.CommercialEntryPoint.main(CommercialEntryPoint.java:22)
Caused by: org.neo4j.kernel.lifecycle.LifecycleException: Component 'org.neo4j.server.database.LifecycleManagingDatabase@1e141e42' was successfully initialized, but failed to start. Please see the attached cause exception "Conversation-response mapping:
{1/13#=ResponseFuture{conversationId='1/13#', initiatedByMessageType=join, response=null}}".
at org.neo4j.kernel.lifecycle.LifeSupport$LifecycleInstance.start(LifeSupport.java:473)
at org.neo4j.kernel.lifecycle.LifeSupport.start(LifeSupport.java:111)
at org.neo4j.server.AbstractNeoServer.start(AbstractNeoServer.java:177)
... 3 more
如上错误说明三台机器之间访问出现了问题，不能相互感知，不能加入集群，还需要增加下面配置
#在neo4j-node1 neo4j.conf中添加
dbms.connectors.default_listen_address=192.168.56.10
dbms.connector.bolt.enabled=true
dbms.connector.bolt.listen_address=:7687
#在neo4j-node2 neo4j.conf中添加
dbms.connectors.default_listen_address=192.168.56.11
dbms.connector.bolt.enabled=true
dbms.connector.bolt.listen_address=:7687
#在neo4j-node3 neo4j.conf中添加
dbms.connectors.default_listen_address=192.168.56.12
dbms.connector.bolt.enabled=true
dbms.connector.bolt.listen_address=:7687
如上配置完成之后启动相关机器，启动没有顺序区别，依次进行启动
$ neo4j-node1$ ./bin/neo4j start
$ neo4j-node2$ ./bin/neo4j start
$ neo4j-node3$ ./bin/neo4j start
2019-03-07 06:01:26.887+0000 INFO ======== Neo4j 3.5.3 ========
2019-03-07 06:01:26.892+0000 INFO Starting...
2019-03-07 06:01:28.897+0000 INFO Write transactions to database disabled
2019-03-07 06:01:29.255+0000 INFO Initiating metrics...
2019-03-07 06:01:30.911+0000 INFO Attempting to join cluster of [neo4j-node1:5001, neo4j-node2:5001, neo4j-node3:5001]
2019-03-07 06:01:42.993+0000 INFO Could not join cluster of [neo4j-node1:5001, neo4j-node2:5001, neo4j-node3:5001]
2019-03-07 06:01:42.993+0000 INFO Creating new cluster with name [neo4j.ha]...
2019-03-07 06:01:42.998+0000 INFO Instance 1 (this server) entered the cluster
2019-03-07 06:01:43.012+0000 INFO Instance 1 (this server) was elected as coordinator
2019-03-07 06:01:43.094+0000 INFO I am 1, moving to master
2019-03-07 06:01:43.170+0000 INFO Instance 1 (this server) was elected as coordinator
2019-03-07 06:01:43.256+0000 INFO I am 1, successfully moved to master
2019-03-07 06:01:43.264+0000 INFO Instance 1 (this server) is available as master at ha://192.168.56.10:6001?serverId=1 with StoreId{creationTime=1551928418454, randomId=5747408418777003467, storeVersion=16094931155187206, upgradeTime=1551928418454, upgradeId=1}
2019-03-07 06:01:43.288+0000 INFO Sending metrics to CSV file at /root/neo4j-e-3.5.3/metrics
2019-03-07 06:01:43.300+0000 INFO Database available for write transactions
2019-03-07 06:01:43.357+0000 INFO Instance 1 (this server) is available as backup at backup://127.0.0.1:6362 with StoreId{creationTime=1551928418454, randomId=5747408418777003467, storeVersion=16094931155187206, upgradeTime=1551928418454, upgradeId=1}
2019-03-07 06:01:43.787+0000 INFO Instance 2 joined the cluster
2019-03-07 06:01:43.893+0000 INFO Instance 3 joined the cluster
2019-03-07 06:01:43.905+0000 INFO Instance 1 (this server) was elected as coordinator
2019-03-07 06:01:43.955+0000 INFO Instance 1 (this server) is available as master at ha://192.168.56.10:6001?serverId=1 with StoreId{creationTime=1551928418454, randomId=5747408418777003467, storeVersion=16094931155187206, upgradeTime=1551928418454, upgradeId=1}
2019-03-07 06:01:43.973+0000 INFO Instance 1 (this server) is available as backup at backup://127.0.0.1:6362 with StoreId{creationTime=1551928418454, randomId=5747408418777003467, storeVersion=16094931155187206, upgradeTime=1551928418454, upgradeId=1}
2019-03-07 06:01:44.082+0000 INFO Bolt enabled on 192.168.56.10:7687.
2019-03-07 06:01:44.703+0000 INFO Instance 2 is available as slave at ha://192.168.56.11:6001?serverId=2 with StoreId{creationTime=1551928418454, randomId=5747408418777003467, storeVersion=16094931155187206, upgradeTime=1551928418454, upgradeId=1}
2019-03-07 06:01:46.444+0000 WARN Server thread metrics not available (missing neo4j.server.threads.jetty.all)
2019-03-07 06:01:46.455+0000 WARN Server thread metrics not available (missing neo4j.server.threads.jetty.idle)
2019-03-07 06:01:46.979+0000 INFO Started.
2019-03-07 06:01:47.403+0000 INFO Mounted REST API at: /db/manage
2019-03-07 06:01:47.514+0000 INFO Server thread metrics have been registered successfully
2019-03-07 06:01:49.508+0000 INFO Remote interface available at http://localhost:7474/
2019-03-07 06:01:49.895+0000 INFO Instance 1 (this server) was elected as coordinator
2019-03-07 06:01:49.923+0000 INFO Instance 1 (this server) is available as master at ha://192.168.56.10:6001?serverId=1 with StoreId{creationTime=1551928418454, randomId=5747408418777003467, storeVersion=16094931155187206, upgradeTime=1551928418454, upgradeId=1}
2019-03-07 06:01:49.971+0000 INFO Instance 1 (this server) is available as backup at backup://127.0.0.1:6362 with StoreId{creationTime=1551928418454, randomId=5747408418777003467, storeVersion=16094931155187206, upgradeTime=1551928418454, upgradeId=1}
2019-03-07 06:01:49.992+0000 INFO Instance 2 is available as slave at ha://192.168.56.11:6001?serverId=2 with StoreId{creationTime=1551928418454, randomId=5747408418777003467, storeVersion=16094931155187206, upgradeTime=1551928418454, upgradeId=1}
2019-03-07 06:01:50.222+0000 INFO Instance 3 is available as slave at ha://192.168.56.12:6001?serverId=3 with StoreId{creationTime=1551928418454, randomId=5747408418777003467, storeVersion=16094931155187206, upgradeTime=1551928418454, upgradeId=1}
2019-03-07 06:01:50.872+0000 WARN The client is unauthorized due to authentication failure.
如上日志中可以看出来，机器分别都已经加入到集群中，访问集群
如上图，点击之后查询出集群的详细信息，可以看到配置的ha.server_id机器分别都加入集群中，并且可以看出那台机器为master节点
说明配置成功，随便访问任何一台机器都能够提供服务，可以自己新建一个node或者relation分别在不同的机器提供的访问接口查看是否创建成功，数据是否同步成功
二、Causal Clustering（因果集群）搭建
官方文档：https://neo4j.com/docs/operations-manual/current/
2.1、因果集群架构和集群规划
如上图所示就是因果集群的架构图，架构中主要分为两种角色类型，一种是Replica Servers和Core Servers两种角色，下面对两种角色进行介绍：
Core Servers：此角色是逻辑划分，在该系统角色中由多台物理实体机组成，主要提供数据的存储和数据一致性，事务处理等功能，同时在Core集群中是支持HA的，所以有Leader和Follower两中角色，这两种角色能够互相进行切换，Leader角色主要提供管理集群的作用，存储元数据信息和处理集群心跳、数据分发等工作，Core节点是能够进行writer and read，Core集群中是能够进行集群拓扑的
Replica Servers：该角色系统中的节点主要提供的是对数据的查询，他能提供查询任意在Core集群中的图数据，这里的数据是由Core集群发送给Replica集群的副本，所以在Replica中，数据丢失不会影响到整个集群的使用，他主要的作用就是扩展集群的工作负载例如查询等
因果一致性：neo4j采用的是因果一致性来保证数据的一致性，使用到的协议是Raft协议来复制所有事务来实现数据的安全和数据一致性；这和其他的分布式系统中采用的Paxos协议不同
Raft协议原理解释https://www.jianshu.com/p/8e4bbe7e276c
官方提供的一个应用程序对图进行读写操作的一个流程图，这里Core和Read Replicas都是集群的方式进行展示
在上面的图中能够看出数据是怎么流动的，Core是能够写和读，reads是只能被读的，但是Core只能是Leader提供写操作，否则报错如下：
Neo.ClientError.Cluster.NotALeader: No write operations are allowed directly on this database. Writes must pass through the leader. The role of this server is: FOLLOWER
本次的搭建中的节点规划是:
neo4j-node2 core
neo4j-node3 core
neo4j-node4 core
neo4j-node5 add core OR add Read
2.2、因果集群配置
因果集群的Core集群配置
neo4j-node2
dbms.connectors.default_listen_address=192.168.56.11
dbms.connectors.default_advertised_address=192.168.56.11
dbms.mode=CORE
causal_clustering.minimum_core_cluster_size_at_formation=3
causal_clustering.minimum_core_cluster_size_at_runtime=3
causal_clustering.discovery_members=192.168.56.11:5000,192.168.56.12:5000,192.168.56.13:5000
neo4j-node3
dbms.connectors.default_listen_address=192.168.56.12
dbms.connectors.default_advertised_address=192.168.56.12
dbms.mode=CORE
causal_clustering.minimum_core_cluster_size_at_formation=3
causal_clustering.minimum_core_cluster_size_at_runtime=3
causal_clustering.discovery_members=192.168.56.11:5000,192.168.56.13:5000,192.168.56.13:5000
neo4j-node4
dbms.connectors.default_listen_address=192.168.56.13
dbms.connectors.default_advertised_address=192.168.56.13
dbms.mode=CORE
causal_clustering.minimum_core_cluster_size_at_formation=3
causal_clustering.minimum_core_cluster_size_at_runtime=3
causal_clustering.discovery_members=192.168.56.11:5000,192.168.56.12:5000,192.168.56.13:5000
如上内容配置完成之后依次启动集群中core节点
$ neo4j-node2$ ./bin/neo4j start
$ neo4j-node3$ ./bin/neo4j start
$ neo4j-node4$ ./bin/neo4j start
启动完成之后登陆到响应的web界面，然后查询集群详情就能看出来相关集群的配置是否正确
2.3、添加新的Core节点进入集群
添加新的节点到集群中，这里使用新的节点neo4j-node5来进行操作
conf/neo4j.conf
dbms.connectors.default_listen_address=192.168.56.14
dbms.connectors.default_advertised_address=192.168.56.14
dbms.mode=CORE
causal_clustering.minimum_core_cluster_size_at_formation=3
causal_clustering.minimum_core_cluster_size_at_runtime=3
causal_clustering.discovery_members=192.168.56.11:5000,192.168.56.12:5000,192.168.56.13:5000
在配置新的机器到Core集群中作为Core节点时配置基本和上面的一样，但是需要注意的是causal_clustering.discovery_members这个配置，这个配置还是上面的配置，并没有将目前的机器加入，是因为当前的机器是新加入的，不是永久存在的集群，当不使用的时候可以将当前机器剔除集群，如果一开始就规划好了集群，那么开始就配置完整
neo4j-node5配置完成之后，启动该节点，启动完成之后需要登录当前节点，登录完成之后查看当前节点是否加入集群中，查看方式和上面的查看方式相同，或者可以看日志，是否加入集群，并且拥有集群id
启动
$ neo4j-node5$ ./bin/neo4j start
2.4、添加新的Replicas节点进入集群
下面是添加Replicas角色节点，在集群中他是可有可无的，没有他集群也能够正常的工作，有他的存在是扩展了查询和过程分析能够多了一些节点来进行处理，但是该节点的数据均是来源于Core节点
还是用neo4j-node5来进行试验
conf/neo4j.conf配置
dbms.connectors.default_listen_address=192.168.56.14
dbms.mode=READ_REPLICA
causal_clustering.discovery_members=192.168.56.11:5000,192.168.56.12:5000,192.168.56.13:5000
该节点不参与集群中的Leader选举所以配置相对简单
修改完成之后启动
$ neo4j-node5$ ./bin/neo4j start
启动完成之后如果是新节点需要先访问当前的web服务设置好密码之后，接着可以到集群中任意节点查询节点是否添加到集群中
如上图所示，说明成功添加到集群中
三、通过驱动（driver）访问neo4j 因果集群方式
pom.xml
<dependency>
<groupId>org.neo4j.driver</groupId>
<artifactId>neo4j-java-driver</artifactId>
<version>1.7.2</version>
</dependency>
访问实例：
public Driver createDriver() throws URISyntaxException {
List<URI> rout = new ArrayList<>();
rout.add(new URI("bolt+routing://192.168.8.106"));
rout.add(new URI("bolt+routing://192.168.8.107"));
rout.add(new URI("bolt+routing://192.168.8.108"));
Driver driver = GraphDatabase.routingDriver(rout,AuthTokens.basic("neo4j","123456"),null);
return driver;
}
Driver访问集群：在访问因果集群的时候设置好集群的相关访问地址，驱动能够自己判断当前访问应该走那台机器，负载由集群自己实现，程序不用关心集群机器可用性，驱动会自己发现集群可用性，并且选择能够操作的机器进行操作！
web方式访问：上面的方式是通过代码的方式进行访问，这里是通过web进行访问，在web访问的时候写数据只能在leader节点，查询数据在所有节点都能进行查询，这里和上面的驱动访问是有区别的
四、多群集群搭建
注：这里暂时省略了，目前还没使用，一般的公司也用不到，而且还是收费的
neo4j企业版集群搭建的更多相关文章
- Neo4j 因果集群搭建及neo4j-java-driver连接
搭建Neo4j因果集群 1.下载企业版,当前是3,5,9版本 https://neo4j.com/download-center/#enterprise 2.配置,三个核心集群为例 配置文件,conf ...
- Neo4j 2.0 生产环境集群搭建
一.在windows上搭建Neo4j ha cluster的配置方法: 例如:建立集群的三台机器的ip分别为:10.230.9.91,10.230.9.92,10.230.9.93. 10.230.9 ...
- 【DB宝46】NoSQL数据库之CouchBase简介、集群搭建、XDCR同步及备份恢复
目录 一. CouchBase概述 1.1.简述 1.2.CouchDB和CouchBase比对 1.2.1.CouchDB和CouchBase的相同之处 1.2.2.CouchDB和CouchBas ...
- 【Oracle 集群】Linux下Oracle RAC集群搭建之Oracle DataBase安装（八)
Oracle 11G RAC数据库安装(八) 概述:写下本文档的初衷和动力,来源于上篇的<oracle基本操作手册>.oracle基本操作手册是作者研一假期对oracle基础知识学习的汇总 ...
- 【Oracle 集群】Linux下Oracle RAC集群搭建之基本测试与使用（九)
Oracle 11G RAC数据库安装(九) 概述:写下本文档的初衷和动力,来源于上篇的<oracle基本操作手册>.oracle基本操作手册是作者研一假期对oracle基础知识学习的汇总 ...
- 【Data Cluster】真机环境下MySQL数据库集群搭建
真机环境下MySQL-Cluster搭建文档 摘要:本年伊始阶段,由于实验室对不同数据库性能测试需求,才出现MySQL集群搭建.购置主机,交换机,双绞线等一系列准备工作就绪,也就开始集群搭建.起初笔 ...
- （四）Spark集群搭建-Java&Python版Spark
Spark集群搭建 视频教程 1.优酷 2.YouTube 安装scala环境 下载地址http://www.scala-lang.org/download/ 上传scala-2.10.5.tgz到m ...
- （三）Spark-Hadoop集群搭建-Java&Python版Spark
Spark-Hadoop集群搭建 视频教程: 1.优酷 2.YouTube 配置java 启动ftp [root@master ~]# /etc/init.d/vsftpd restart 关闭 vs ...
- Mosquitto搭建Android推送服务（三）Mosquitto集群搭建
文章钢要: 1.进行双服务器搭建 2.进行多服务器搭建 一.Mosquitto的分布式集群部署 如果需要做并发量很大的时候就需要考虑做集群处理,但是我在查找资料的时候发现并不多,所以整理了一下,搭建简 ...
随机推荐
- 三步教你如何在Github部署自己的简历
相信铁子们有很多都是将找工作的小白(和小编一样!!嘿嘿)小编也和在座的大家一样,一个普通的不能再普通的二本学生(北华大学) < 单身!单身!单身!> 听很多人都说:像我们这个样子,害!放 ...
- 个人理解Linux文件权限--以前记录的,根据鸟哥的第二版去解释的
ps:鸟哥的第三版私房菜印刷的有问题 上面的意思:d指的是目录 档案拥有者权限:r可读w可写,x,可运行, 同群组的权限:r可读,这段有个-号,表示不可写,x表示可运行 其他非本群组的权限:r可读,这 ...
- 三本毕业（非科班），四次阿里巴巴面试，终拿 offer（大厂面经）
作者:gauseen 原文:https://github.com/gauseen/blog 公众号:「学前端」,只搞技术不搞广告文,欢迎关注~ 第一次 20:00 电话一面 - 自我介绍 - 对公司工 ...
- 大部分人都不知道的8个python神操作
01 print 打印带有颜色的信息 大家知道 Python 中的信息打印函数 Print,一般我们会使用它打印一些东西,作为一个简单调试. 但是你知道么,这个 Print 打印出来的字体颜色是可以设 ...
- Python selenium Chrome正在受到自动软件的控制 disable-infobars无效 的解决方法
问题解决 前两天更新了google浏览器版本,今天运行以前的脚本,发现options一个参数的配置不生效了. 运行了几次都发现该参数没有生效,也检查了自己的代码参数,没有写错,于是就有了这一波“网中寻 ...
- python学习02python入门二
学前须知:1.本文档有关内容均建立在python3.x版本上,python2.x已经成为历史,如有需要,文内会特别说明. 2.本文使用的编辑器多为架构在Windows上的pycharm,如需了解Lin ...
- 矩阵类的代码（C++）
The Codes of Matrix Class Matrix.h:#ifndef MATRIX_H#define MATRIX_H #include<iostream> #includ ...
- Week-1 linux命令行重点整理
①仅对当前用户: ~/.bashrc ②对所有用户有效: /etc/bashrc screen命令:创建新screen会话screen –S [SESSION]加入screen会话screen –x ...
- 父级元素绑定定mouseout和mouseover，移过子元素是都会触发
2019独角兽企业重金招聘Python工程师标准>>> mouseover与mouseenter 不论鼠标指针穿过被选元素或其子元素,都会触发 mouseover 事件. 只有在鼠标 ...
- python笔记 函数初识
1. 函数: 封装一个功能 def my_len(形参): -> def 声明定义一个函数 my_len 函数名命名规则同变量 ······ - ...