部署步驟
初始化es配置文件
-- 拉取es鏡像
docker pull elasticsearch:7.2.0
--創(chuàng)建掛載目錄[data:存放索引數(shù)據(jù),plugins:存放es插件]
mkdir -p /bkb/runtime/docker/es/config/data1
mkdir -p /bkb/runtime/docker/es/config/data2
mkdir -p /bkb/runtime/docker/es/config/data3
mkdir -p /bkb/runtime/docker/es/config/plugins1
mkdir -p /bkb/runtime/docker/es/config/plugins2
mkdir -p /bkb/runtime/docker/es/config/plugins3
-- 設(shè)置執(zhí)行權(quán)限
chmod 777 -R /bkb/runtime/docker/es/config/
--data1/data2/data3 分別創(chuàng)建es.yml [network.publish_host:填寫服務(wù)器ip]
vim /bkb/runtime/docker/es/config/es1.yml
->>
cluster.name: test-es
node.name: node1
network.host: 0.0.0.0
###如果是三臺主機做,這里要加入內(nèi)網(wǎng)ip,才能建立集群如下一行參數(shù)
# network.publish_host: 192.168.1.43
###如果是三臺主機做,這里要加入內(nèi)網(wǎng)ip,才能建立集群如上一行參數(shù)
http.port: 9201
transport.tcp.port: 9301
discovery.seed_hosts: ["192.168.3.214:9301","192.168.3.214:9302","192.168.3.214:9303"]
cluster.initial_master_nodes: ["node1"]
bootstrap.system_call_filter: false
bootstrap.memory_lock: false
http.cors.enabled: true
http.cors.allow-origin: "*"
vim /bkb/runtime/docker/es/config/es2.yml
->>
cluster.name: test-es
node.name: node2
network.host: 0.0.0.0
###如果是三臺主機做,這里要加入內(nèi)網(wǎng)ip,才能建立集群如下一行參數(shù)
# network.publish_host: 192.168.1.44
###如果是三臺主機做,這里要加入內(nèi)網(wǎng)ip,才能建立集群如上一行參數(shù)
http.port: 9202
transport.tcp.port: 9302
discovery.seed_hosts: ["192.168.3.214:9301","192.168.3.214:9302","192.168.3.214:9303"]
cluster.initial_master_nodes: ["node1"]
bootstrap.system_call_filter: false
bootstrap.memory_lock: false
http.cors.enabled: true
http.cors.allow-origin: "*"
vim /bkb/runtime/docker/es/config/es3.yml
->>
cluster.name: test-es
node.name: node3
network.host: 0.0.0.0
###如果是三臺主機做,這里要加入內(nèi)網(wǎng)ip,才能建立集群如下一行參數(shù)
# network.publish_host: 192.168.1.45
###如果是三臺主機做,這里要加入內(nèi)網(wǎng)ip,才能建立集群如上一行參數(shù)
http.port: 9203
transport.tcp.port: 9303
discovery.seed_hosts: ["192.168.3.214:9301","192.168.3.214:9302","192.168.3.214:9303"]
cluster.initial_master_nodes: ["node1"]
bootstrap.system_call_filter: false
bootstrap.memory_lock: false
http.cors.enabled: true
http.cors.allow-origin: "*"
調(diào)高JVM線程數(shù)限制數(shù)量
vim /etc/sysctl.conf
->>
vm.max_map_count=655300
# 刷新配置
sysctl -p
服務(wù)部署
es集群部署
# 服務(wù)1
docker run -e ES_JAVA_OPTS="-Xms2048m -Xmx2048m" \
-d -p 9201:9201 -p 9301:9301 \
-e ES_MIN_MEM=128m \
-e ES_MAX_MEM=4096m \
-v /bkb/runtime/docker/es/config/es1.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /bkb/runtime/docker/es/config//data1/:/usr/share/elasticsearch/data/ \
-v /bkb/runtime/docker/es/config/plugins1/:/usr/share/elasticsearch/plugins \
--restart=always \
--name ES01 \
elasticsearch:7.2.0
# 服務(wù)2
docker run -e ES_JAVA_OPTS="-Xms2048m -Xmx2048m" \
-d -p 9202:9202 -p 9302:9302 \
-e ES_MIN_MEM=128m \
-e ES_MAX_MEM=4096m \
-v /bkb/runtime/docker/es/config/es2.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /bkb/runtime/docker/es/config/data2/:/usr/share/elasticsearch/data/ \
-v /bkb/runtime/docker/es/config/plugins2/:/usr/share/elasticsearch/plugins \
--restart=always \
--name ES02 \
elasticsearch:7.2.0
# 服務(wù)3
docker run -e ES_JAVA_OPTS="-Xms2048m -Xmx2048m" \
-d -p 9203:9203 -p 9303:9303 \
-e ES_MIN_MEM=128m \
-e ES_MAX_MEM=4096m \
-v /bkb/runtime/docker/es/config/es3.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /bkb/runtime/docker/es/config/data3/:/usr/share/elasticsearch/data/ \
-v /bkb/runtime/docker/es/config/plugins1/:/usr/share/elasticsearch/plugins \
--restart=always \
--name ES03 \
elasticsearch:7.2.0
# 防火墻設(shè)置
firewall-cmd --add-port=9301/tcp
firewall-cmd --add-port=9302/tcp
firewall-cmd --add-port=9303/tcp
firewall-cmd --add-port=9200/tcp
firewall-cmd --add-port=9201/tcp
firewall-cmd --add-port=9202/tcp
firewall-cmd --add-port=9203/tcp
firewall-cmd --complete-reload
確認(rèn)集群配置
curl http://127.0.0.1:9201/_cat/nodes?pretty
上面是同一臺主機建立的,沒設(shè)置內(nèi)網(wǎng)ip,所以顯示的是docker網(wǎng)絡(luò)ip,如果是三臺內(nèi)網(wǎng)主機建立集群,建立集群成功后如圖所示:
IK分詞器安裝
# 進入容器
root@Ubuntu:/bkb/runtime/docker/es/config# docker exec -it ES01 bash
# 在線安裝
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.2.0/elasticsearch-analysis-ik-7.2.0.zip
# 復(fù)制es1安裝的插件到es2和es3
root@Ubuntu:/bkb/runtime/docker/es/config# cp -rf plugins1/analysis-ik/ plugins2
root@Ubuntu:/bkb/runtime/docker/es/config# cp -rf plugins1/analysis-ik/ plugins3ls
# 重啟es
root@Ubuntu:/bkb/runtime/docker/es/config# docker restart ES01
root@Ubuntu:/bkb/runtime/docker/es/config# docker restart ES02 ES03
esUI部署
部署elasticsearch-head 便于管理es數(shù)據(jù)
docker run -d \
--name=elasticsearch-head \
-p 9100:9100 \
-m 512m \
--memory-swap=1024m \
--restart=always
mobz/elasticsearch-head:5-alpine
?確認(rèn)效果
安裝kibana
漢化:kibana 7.* 設(shè)置中文 漢化_121812的博客-CSDN博客_kibana7中文
啟動后進入編輯yml文件指定es的地址
docker pull kibana:7.2.0
docker run -dit --name kibana -p 5601:5601 -v /bkb/runtime/docker/es/config/kibana.yml:/usr/share/kibana/config/kibana.yml --restart=always kibana:7.2.0
docker exec -it kibana /bin/bash
將容器后kibana.yml文件配置持久化,配置內(nèi)容如下
Kibana配置內(nèi)容:文章來源:http://www.zghlxwxcb.cn/news/detail-536995.html
#** THIS IS AN AUTO-GENERATED FILE **
#
# Default Kibana configuration for docker target
server.name: kibana
server.host: "0"
elasticsearch.hosts: [ "http://192.168.3.214:9201","http://192.168.3.214:9202","http://192.168.3.214:9203" ]
#elasticsearch.hosts: [ "http://elasticsearch:9200" ]
xpack.monitoring.ui.container.elasticsearch.enabled: true
i18n.locale: "zh-CN"
漢化后的kibana,也可以看到集群信息
文章來源地址http://www.zghlxwxcb.cn/news/detail-536995.html
到了這里,關(guān)于docker部署單機ES集群7.2.0的文章就介紹完了。如果您還想了解更多內(nèi)容,請在右上角搜索TOY模板網(wǎng)以前的文章或繼續(xù)瀏覽下面的相關(guān)文章,希望大家以后多多支持TOY模板網(wǎng)!