本次安裝ES和Kibana版本如下:
- elasticsearch 6.8.3
- kibana 6.8.3
- elasticsearch-head 5 前端框架
1.安裝elasticsearch6.8.3
1)拉取鏡像
docker pull elasticsearch:6.8.3
2)創(chuàng)建配置文件
想要建幾臺機器的集群就創(chuàng)建幾個配置文件摘符,需要修改的參數(shù)為node.name顿颅、http.port、transport.tcp.port弟孟、discovery.zen.ping.unicast.hosts
本次創(chuàng)建2臺docker的es集群衷恭,使用docker容器所在服務(wù)器的ip:192.168.130.131勿璃,端口分別使用9200揭璃、9300集灌、9201悔雹、9301
#開放防火墻端口
firewall-cmd --add-port=9300/tcp
firewall-cmd --add-port=9301/tcp
#創(chuàng)建文件夾
mkdir /home/es
cd /home/es/
#創(chuàng)建配置文件夾
mkdir /home/es/config
#創(chuàng)建數(shù)據(jù)掛載文件夾
mkdir data1
mkdir data2
#賦權(quán)限
chmod 777 data1 data2
#創(chuàng)建插件掛載文件夾
mkdir plugins1
mkdir plugins2
#創(chuàng)建配置文件
cd /home/es/config
vi es1.yml
vi es2.yml
然后創(chuàng)建一個es1.yml配置文件里面的內(nèi)容為
cluster.name: elasticsearch-cluster
node.name: es-node1
network.host: 0.0.0.0
network.publish_host: 192.168.130.131
http.port: 9200
transport.tcp.port: 9300
http.cors.enabled: true
http.cors.allow-origin: "*"
node.master: true
node.data: true
discovery.zen.ping.unicast.hosts: ["192.168.130.131:9300","192.168.130.131:9301"]
discovery.zen.minimum_master_nodes: 1
然后創(chuàng)建一個es2.yml配置文件里面的內(nèi)容為
cluster.name: elasticsearch-cluster
node.name: es-node2
network.host: 0.0.0.0
network.publish_host: 192.168.130.131
http.port: 9201
transport.tcp.port: 9301
http.cors.enabled: true
http.cors.allow-origin: "*"
node.master: true
node.data: true
discovery.zen.ping.unicast.hosts: ["192.168.130.131:9300","192.168.130.131:9300"]
discovery.zen.minimum_master_nodes: 1
3)調(diào)高JVM線程數(shù)限制數(shù)量
在centos窗口中,修改配置sysctl.conf
vi /etc/sysctl.conf
在最后加入如下內(nèi)容:
vm.max_map_count=262144
啟用配置:
sysctl -p
注:這一步是為了防止啟動容器時欣喧,報出如下錯誤:
bootstrap checks failed max virtual memory areas vm.max_map_count [65530] likely too low, increase to at least [262144]
4)運行鏡像
docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -dit -p 9200:9200 -p 9300:9300 \
-v /home/es/config/es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /home/es/plugins1:/usr/share/elasticsearch/plugins \
-v /home/es/data1:/usr/share/elasticsearch/data --name ES01 elasticsearch:6.8.3
docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d -p 9201:9201 -p 9301:9301 \
-v /home/es/config/es2.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /home/es/plugins2:/usr/share/elasticsearch/plugins \
-v /home/es/data2:/usr/share/elasticsearch/data --name ES02 elasticsearch:6.8.3
5)測試站點是否成功
在瀏覽器地址欄訪問http://192.168.130.131:9200/_cat/nodes?pretty查看節(jié)點狀態(tài)
如果成功腌零,顯示如下:
*6)增加用戶名密碼驗證
獲取集群證書
#創(chuàng)建文件夾
cd /home/es
mkdir /home/es/certificates
cd certificates
#查看啟動的容器
[root@localhost nacos]# docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
c2a00c744d2e elasticsearch:6.8.3 "/usr/local/bin/dock…" 22 hours ago Up 3 seconds 9200/tcp, 0.0.0.0:9201->9201/tcp, 9300/tcp, 0.0.0.0:9301->9301/tcp ES02
5f477f1a7a7e elasticsearch:6.8.3 "/usr/local/bin/dock…" 22 hours ago Up 5 seconds 0.0.0.0:9200->9200/tcp, 0.0.0.0:9300->9300/tcp ES01
#進(jìn)入其中一個容器,如ES01-->5f477f1a7a7e
docker exec -it ES01 /bin/bash
#配置生成SSL唆阿,在主服務(wù)器上生成就行
bin/elasticsearch-certgen
#####################################
Please enter the desired output file [certificate-bundle.zip]: cert.zip (壓縮包名稱)
Enter instance name: es-app(實例名)
Enter name for directories and files [p4mES]: es(文件夾名)
Enter IP Addresses for instance (comma-separated if more than one) []: 192.168.130.131(實例ip益涧,多個ip用逗號隔開)
Enter DNS names for instance (comma-separated if more than one) []: es-node1,es-node2(節(jié)點名,多個節(jié)點用逗號隔開)
Would you like to specify another instance? Press 'y' to continue entering instance information: (到達(dá)這一步,不需要按y重新設(shè)置,按空格鍵就完成了)
Certificates written to /usr/local/elasticsearch/bin/cert.zip(這個是生成的文件存放地址驯鳖,不用填寫)
#退出容器
exit
#從容器中拷貝證書
docker cp ES01:/usr/share/elasticsearch/cert.zip .
#解壓
unzip cert.zip
復(fù)制yml配置文件闲询,在es01.yml久免、es02.yml中添加下列內(nèi)容,生成es1-auth.yml扭弧、es2-auth.yml
es1-auth.yml內(nèi)容添加:
# x-head 訪問配置
http.cors.allow-headers: Authorization,X-Requested-With,Content-Length,Content-Type
# 開通高級權(quán)限后,打開安全配置功能
xpack.security.enabled: true
xpack.security.transport.ssl.enabled: true
# 配置ssl和CA證書配置
xpack.ssl.key: /usr/share/elasticsearch/config/certificates/es/es.key
xpack.ssl.certificate: /usr/share/elasticsearch/config/certificates/es/es.crt
xpack.ssl.certificate_authorities: /usr/share/elasticsearch/config/certificates/ca/ca.crt
es2-auth.yml內(nèi)容添加:
# 開通高級權(quán)限后,打開安全配置功能
xpack.security.enabled: true
xpack.security.transport.ssl.enabled: true
# 配置ssl和CA證書配置
xpack.ssl.key: /usr/share/elasticsearch/config/certificates/es/es.key
xpack.ssl.certificate: /usr/share/elasticsearch/config/certificates/es/es.crt
xpack.ssl.certificate_authorities: /usr/share/elasticsearch/config/certificates/ca/ca.crt
停止并刪除容器
#停止
docker stop ES01
docker stop ES02
#刪除
docker rm ES01
docker rm ES02
用以下命令重新啟動
docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -dit -p 9200:9200 -p 9300:9300 \
-v /home/es/config/es1-auth.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /home/es/plugins1:/usr/share/elasticsearch/plugins \
-v /home/es/data1:/usr/share/elasticsearch/data \
-v /home/es/certificates/:/usr/share/elasticsearch/config/certificates/ \
--name ES01 elasticsearch:6.8.3
docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d -p 9201:9201 -p 9301:9301 \
-v /home/es/config/es2-auth.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /home/es/plugins2:/usr/share/elasticsearch/plugins \
-v /home/es/data2:/usr/share/elasticsearch/data \
-v /home/es/certificates/:/usr/share/elasticsearch/config/certificates/ \
--name ES02 elasticsearch:6.8.3
宿主機的端口允許其它計算機訪問阎姥,但是不允許來自本機的 Docker 容器訪問。必須通過設(shè)置 firewalld 規(guī)則允許本機的 Docker 容器訪問鸽捻,可以通過在 /etc/firewalld/zones/public.xml 中添加防火墻規(guī)則避免這個問題:
<rule family="ipv4">
<source address="172.17.0.0/16" />
<accept />
</rule>
注意這里的 172.17.0.0/16 可以匹配 172.17.xx.xx IP 段的所有 IP呼巴。
之后重啟下防火墻:
systemctl restart firewalld
開通高級功能后,如何設(shè)置登錄賬號和密碼,開啟登錄驗證功能
# 進(jìn)入主容器
docker exec -it ES01 /bin/bash
#自定義設(shè)置elastic、kibana…等所有工具的登錄密碼
bin/elasticsearch-setup-passwords interactive
完成
2.安裝elasticsearch-head前端框架
1)拉取鏡像
docker pull mobz/elasticsearch-head:5
2)新建Gruntfile.js
cd /home/es/config
vi Gruntfile.js
內(nèi)容如下:
module.exports = function(grunt) {
var fileSets = require("./grunt_fileSets.js");
// Project configuration.
grunt.initConfig({
clean: {
_site: {
src: ['_site']
}
},
concat: {
vendorjs: {
src: fileSets.vendorJs,
dest: '_site/vendor.js'
},
vendorcss: {
src: fileSets.vendorCss,
dest: '_site/vendor.css'
},
appjs: {
src: fileSets.srcJs,
dest: '_site/app.js'
},
appcss: {
src: fileSets.srcCss,
dest: '_site/app.css'
}
},
copy: {
site_index: {
src: 'index.html',
dest: '_site/index.html',
options: {
process: function( src ) {
return src.replace(/_site\//g, "");
}
}
},
base: {
expand: true,
cwd: 'src/app/base/',
src: [ '*.gif', '*.png', '*.css' ],
dest: '_site/base/'
},
iconFonts: {
expand: true,
cwd: 'src/vendor/font-awesome/fonts/',
src: '**',
dest: '_site/fonts'
},
i18n: {
src: 'src/vendor/i18n/i18n.js',
dest: '_site/i18n.js'
},
lang: {
expand: true,
cwd: 'src/app/lang/',
src: '**',
dest: '_site/lang/'
}
},
jasmine: {
task: {
src: [ fileSets.vendorJs, 'src/vendor/i18n/i18n.js', 'src/app/lang/en_strings.js', fileSets.srcJs ],
options: {
specs: 'src/app/**/*Spec.js',
helpers: 'test/spec/*Helper.js',
display: "short",
summary: true
}
}
},
watch: {
"scripts": {
files: ['src/**/*', 'test/spec/*' ],
tasks: ['default'],
options: {
spawn: false
}
},
"grunt": {
files: [ 'Gruntfile.js' ]
}
},
connect: {
server: {
options: {
port: 9400,
base: '.',
keepalive: true
}
}
}
});
grunt.loadNpmTasks('grunt-contrib-clean');
grunt.loadNpmTasks('grunt-contrib-concat');
grunt.loadNpmTasks('grunt-contrib-watch');
grunt.loadNpmTasks('grunt-contrib-connect');
grunt.loadNpmTasks('grunt-contrib-copy');
grunt.loadNpmTasks('grunt-contrib-jasmine');
// Default task(s).
grunt.registerTask('default', ['clean', 'concat', 'copy', 'jasmine']);
grunt.registerTask('server', ['connect:server']);
grunt.registerTask('dev', [ 'default', 'watch' ]);
};
修改端口
3)啟動容器
docker run -d -p 9400:9400 -v /home/es/config/Gruntfile.js:/usr/src/app/Gruntfile.js --name es-manager mobz/elasticsearch-head:5
5)瀏覽器訪問http://192.168.130.131:9400/
3.安裝kibana
#查看ES01的docker內(nèi)容器
[root@localhost es]# docker inspect ES01 | grep IPAddress
"SecondaryIPAddresses": null,
"IPAddress": "172.17.0.2",
"IPAddress": "172.17.0.2",
#運行容器
docker run --name es-kibana -e ELASTICSEARCH_URL=http://172.17.0.2:9200 -p 5601:5601 -d kibana:6.8.3
參數(shù)ELASTICSEARCH_URL一定要是docker里面的內(nèi)部地址泊愧,否則Kibana訪問不到Elasticsearch伊磺。
成功如下圖: