Elasticsearch集群安装部署

一、 elasticsearch安装
1、 jdk安装（版本1.8 忽略）
2、 官网下载elasticsearch 7.9版本压缩包，上传到linux系统，解压
tar -zxvf elasticsearch-7.9.0-linux-x86_64.tar.gz
创建软连接
ln -s elasticsearch-7.9.0 elasticsearch
3、 配置elasticsearch.yml文件
Node-1配置为：

cluster.name: estest
node.name: node-1
node.master: true
node.data: true
path.data: /home/hadoop/data/espath/data
path.logs: /home/hadoop/data/espath/log
network.host: 192.168.59.132
http.port: 9201

transport.tcp.port: 9301
discovery.seed_hosts: ["192.168.59.133:9302","192.168.59.134:9303","192.168.59.132:9301"]
#discovery.zen.ping.multicast.enabled: true
#discovery.zen.ping.unicast.hosts: ["192.168.59.132:9300","192.168.59.133:9300","192.168.59.134:9300"]
discovery.zen.minimum_master_nodes: 2
cluster.initial_master_nodes: ["node-1","node-2"]
http.cors.enabled: true
http.cors.allow-origin: "*"

node-2配置为：

cluster.name: estest
node.name: node-2
node.master: true
node.data: true
path.data: /home/hadoop/data/espath/data
path.logs: /home/hadoop/data/espath/log
network.host: 192.168.59.133
http.port: 9202
transport.tcp.port: 9302
discovery.seed_hosts: ["192.168.59.133:9302","192.168.59.134:9303","192.168.59.132:9301"]
#discovery.zen.ping.multicast.enabled: true
discovery.zen.minimum_master_nodes: 2
http.cors.enabled: true
http.cors.allow-origin: "*"
#discovery.zen.ping.unicast.hosts: ["192.168.59.132:9300","192.168.59.133:9300","192.168.59.134:9300"]

Node-3 配置为：

cluster.name: estest
node.name: node-3
node.master: false
node.data: true
path.data: /home/hadoop/data/espath/data
path.logs: /home/hadoop/data/espath/log
network.host: 192.168.59.134
http.port: 9203
transport.tcp.port: 9303
discovery.seed_hosts: ["192.168.59.133:9302","192.168.59.134:9303","192.168.59.132:9301"]
#discovery.zen.ping.multicast.enabled: true
discovery.zen.minimum_master_nodes: 2
cluster.initial_master_nodes: ["node-1","node-2"]
# 是否支持跨域，*表示支持所有域名访问。以下两个配置可以运行elasticsearch-head访问
http.cors.enabled: true
http.cors.allow-origin: "*"
#discovery.zen.ping.unicast.hosts: ["192.168.59.132:9300","192.168.59.133:9300","192.168.59.134:9300"]

4、 集群启动过程中遇到的问题及解决
1）

解决：a、原因：无法创建本地文件问题,用户最大可创建文件数太小，解决方案：切换到root用户，编辑limits.conf配置文件， 添加类似如下内容：
　　　　vi /etc/security/limits.conf
　　 然后添加如下内容: 注意*不要去掉了
　　　　* soft nofile 65536
　　　　* hard nofile 131072

• soft nproc 2048
• hard nproc 4096
  　　 需要保存、退出、重新登录才可生效。
  ulimit -n查看进程数
  　　b、原因：最大虚拟内存太小，解决办法切换到root用户修改配置sysctl.conf：
  　　　vi /etc/sysctl.conf
  　　添加下面配置：vm.max_map_count=655360
  　　最后记得执行：sysctl -p
  然后，重新启动elasticsearch，即可启动成功。
  2）failed to obtain node locks, tried [[/var/lib/elasticsearch]] with lock id [0]; maybe these locations are not writable or multiple nodes were started without increasing [node.max_local_storage_nodes]
  查找ES进程号，杀掉进程然后重启
  ps -ef | grep elastic
  kill -9 进程号

二、 安装head插件
1、 安装nodejs
yum install node npm
查看版本：node –v
npm -v
2、 git下载head插件
git clone https://github.com/mobz/elasticsearch-head.git
3、 进入elasticsearch-head目录
cd elasticsearch-head/
sudo npm install -g grunt --registry=https://registry.npm.taobao.org
npm install grunt –save
npm install
4、 配置
1） grunt_fileSets.js

2） _site/app.js

5、 启动
cd node_modules/grunt
bin/grunt server
浏览器登陆：192.168.59.132：9100
浏览器界面如图：

三、 安装kibana
1、 官网下载和elasticsearch相同版本的kibana安装包，解压
Tar –zxvf kibana-7.9.0-linux-x86_64.tar.gz
2、 配置kibana.yml

server.port: 5601
server.host: "192.168.59.132"
server.name: "kibana"
elasticsearch.hosts: ["http://192.168.59.132:9200"]
kibana.index: ".kibana"
i18n.locale: "zh-CN"
logging.dest: /home/hadoop/data/kibana.log
#elasticsearch.username: "elastic"
#elasticsearch.password: "12345678"
server.maxPayloadBytes: 104857600
# kibana会将部分数据写入es，这个是ex中索引的名字
# kibana.index: ".kibana"

3、 启动
Bin/kibana
Web浏览：192.168.59.132:5601
4、 启动遇到的一个问题

log [02:03:52.857] [error][plugins][reporting][validations] The
Reporting plugin encountered issues launching Chromium in a self-test.
You may have trouble generating reports. log [02:03:52.858]
[error][plugins][reporting][validations] { TimeoutError: waiting for
target failed: timeout 30000ms exceeded
at Function.waitWithTimeout (/home/hadoop/soft/kibana-7.9.0-linux-x86_64/node_modules/puppeteer-core/lib/helper.js:215:26)
at Browser.waitForTarget (/home/hadoop/soft/kibana-7.9.0-linux-x86_64/node_modules/puppeteer-core/lib/Browser.js:214:27)
at Browser. (/home/hadoop/soft/kibana-7.9.0-linux-x86_64/node_modules/puppeteer-core/lib/helper.js:112:23)
at Launcher.launch (/home/hadoop/soft/kibana-7.9.0-linux-x86_64/node_modules/puppeteer-core/lib/Launcher.js:185:21)
at process._tickCallback (internal/process/next_tick.js:68:7) name: ‘TimeoutError’ } log [02:03:52.861]
[error][plugins][reporting][validations] Error: Could not close
browser client handle!
at browserFactory.test.then.browser (/home/hadoop/soft/kibana-7.9.0-linux-x86_64/x-pack/plugins/reporting/server/lib/validate/validate_browser.js:26:15) log [02:03:52.866] [warning][plugins][reporting][validations]
Reporting plugin self-check generated a warning: Error: Could not
close browser client handle!

解决方法：将chrome的浏览器版本升级下就可以了，360浏览器改为极速模式访问，其他浏览器未使用。