linux搭建es集群

准备

安装docker。
安装好Docker Compose。

注意：运行内存最好8g以上，es运行会占用很多内存（2-3g）

方式1：

单机多节点。
参考官网的方式创建（docker-compose搭建elasticsearch集群）。

步骤

创建文件夹（以下用此文件夹表示）

mkdir cd /usr/local/src/es/docker

在此文件夹创建docker-compose.yml文件，内容如下：

version: "2.2"services:setup:image: docker.elastic.co/elasticsearch/elasticsearch:${STACK_VERSION}volumes:- certs:/usr/share/elasticsearch/config/certsuser: "0"command: >bash -c 'if [ x${ELASTIC_PASSWORD} == x ]; thenecho "Set the ELASTIC_PASSWORD environment variable in the .env file";exit 1;elif [ x${KIBANA_PASSWORD} == x ]; thenecho "Set the KIBANA_PASSWORD environment variable in the .env file";exit 1;fi;if [ ! -f config/certs/ca.zip ]; thenecho "Creating CA";bin/elasticsearch-certutil ca --silent --pem -out config/certs/ca.zip;unzip config/certs/ca.zip -d config/certs;fi;if [ ! -f config/certs/certs.zip ]; thenecho "Creating certs";echo -ne \"instances:\n"\"  - name: es01\n"\"    dns:\n"\"      - es01\n"\"      - localhost\n"\"    ip:\n"\"      - 127.0.0.1\n"\"  - name: es02\n"\"    dns:\n"\"      - es02\n"\"      - localhost\n"\"    ip:\n"\"      - 127.0.0.1\n"\"  - name: es03\n"\"    dns:\n"\"      - es03\n"\"      - localhost\n"\"    ip:\n"\"      - 127.0.0.1\n"\> config/certs/instances.yml;bin/elasticsearch-certutil cert --silent --pem -out config/certs/certs.zip --in config/certs/instances.yml --ca-cert config/certs/ca/ca.crt --ca-key config/certs/ca/ca.key;unzip config/certs/certs.zip -d config/certs;fi;echo "Setting file permissions"chown -R root:root config/certs;find . -type d -exec chmod 750 \{\} \;;find . -type f -exec chmod 640 \{\} \;;echo "Waiting for Elasticsearch availability";until curl -s --cacert config/certs/ca/ca.crt https://es01:9200 | grep -q "missing authentication credentials"; do sleep 30; done;echo "Setting kibana_system password";until curl -s -X POST --cacert config/certs/ca/ca.crt -u elastic:${ELASTIC_PASSWORD} -H "Content-Type: application/json" https://es01:9200/_security/user/kibana_system/_password -d "{\"password\":\"${KIBANA_PASSWORD}\"}" | grep -q "^{}"; do sleep 10; done;echo "All done!";'healthcheck:test: ["CMD-SHELL", "[ -f config/certs/es01/es01.crt ]"]interval: 1stimeout: 5sretries: 120es01:depends_on:setup:condition: service_healthyimage: docker.elastic.co/elasticsearch/elasticsearch:${STACK_VERSION}volumes:- certs:/usr/share/elasticsearch/config/certs- esdata01:/usr/share/elasticsearch/dataports:- ${ES_PORT}:9200environment:- node.name=es01- cluster.name=${CLUSTER_NAME}- cluster.initial_master_nodes=es01,es02,es03- discovery.seed_hosts=es02,es03- ELASTIC_PASSWORD=${ELASTIC_PASSWORD}- bootstrap.memory_lock=true- xpack.security.enabled=true- xpack.security.http.ssl.enabled=true- xpack.security.http.ssl.key=certs/es01/es01.key- xpack.security.http.ssl.certificate=certs/es01/es01.crt- xpack.security.http.ssl.certificate_authorities=certs/ca/ca.crt- xpack.security.http.ssl.verification_mode=certificate- xpack.security.transport.ssl.enabled=true- xpack.security.transport.ssl.key=certs/es01/es01.key- xpack.security.transport.ssl.certificate=certs/es01/es01.crt- xpack.security.transport.ssl.certificate_authorities=certs/ca/ca.crt- xpack.security.transport.ssl.verification_mode=certificate- xpack.license.self_generated.type=${LICENSE}mem_limit: ${MEM_LIMIT}ulimits:memlock:soft: -1hard: -1healthcheck:test:["CMD-SHELL","curl -s --cacert config/certs/ca/ca.crt https://localhost:9200 | grep -q 'missing authentication credentials'",]interval: 10stimeout: 10sretries: 120es02:depends_on:- es01image: docker.elastic.co/elasticsearch/elasticsearch:${STACK_VERSION}volumes:- certs:/usr/share/elasticsearch/config/certs- esdata02:/usr/share/elasticsearch/dataenvironment:- node.name=es02- cluster.name=${CLUSTER_NAME}- cluster.initial_master_nodes=es01,es02,es03- discovery.seed_hosts=es01,es03- bootstrap.memory_lock=true- xpack.security.enabled=true- xpack.security.http.ssl.enabled=true- xpack.security.http.ssl.key=certs/es02/es02.key- xpack.security.http.ssl.certificate=certs/es02/es02.crt- xpack.security.http.ssl.certificate_authorities=certs/ca/ca.crt- xpack.security.http.ssl.verification_mode=certificate- xpack.security.transport.ssl.enabled=true- xpack.security.transport.ssl.key=certs/es02/es02.key- xpack.security.transport.ssl.certificate=certs/es02/es02.crt- xpack.security.transport.ssl.certificate_authorities=certs/ca/ca.crt- xpack.security.transport.ssl.verification_mode=certificate- xpack.license.self_generated.type=${LICENSE}mem_limit: ${MEM_LIMIT}ulimits:memlock:soft: -1hard: -1healthcheck:test:["CMD-SHELL","curl -s --cacert config/certs/ca/ca.crt https://localhost:9200 | grep -q 'missing authentication credentials'",]interval: 10stimeout: 10sretries: 120es03:depends_on:- es02image: docker.elastic.co/elasticsearch/elasticsearch:${STACK_VERSION}volumes:- certs:/usr/share/elasticsearch/config/certs- esdata03:/usr/share/elasticsearch/dataenvironment:- node.name=es03- cluster.name=${CLUSTER_NAME}- cluster.initial_master_nodes=es01,es02,es03- discovery.seed_hosts=es01,es02- bootstrap.memory_lock=true- xpack.security.enabled=true- xpack.security.http.ssl.enabled=true- xpack.security.http.ssl.key=certs/es03/es03.key- xpack.security.http.ssl.certificate=certs/es03/es03.crt- xpack.security.http.ssl.certificate_authorities=certs/ca/ca.crt- xpack.security.http.ssl.verification_mode=certificate- xpack.security.transport.ssl.enabled=true- xpack.security.transport.ssl.key=certs/es03/es03.key- xpack.security.transport.ssl.certificate=certs/es03/es03.crt- xpack.security.transport.ssl.certificate_authorities=certs/ca/ca.crt- xpack.security.transport.ssl.verification_mode=certificate- xpack.license.self_generated.type=${LICENSE}mem_limit: ${MEM_LIMIT}ulimits:memlock:soft: -1hard: -1healthcheck:test:["CMD-SHELL","curl -s --cacert config/certs/ca/ca.crt https://localhost:9200 | grep -q 'missing authentication credentials'",]interval: 10stimeout: 10sretries: 120kibana:depends_on:es01:condition: service_healthyes02:condition: service_healthyes03:condition: service_healthyimage: docker.elastic.co/kibana/kibana:${STACK_VERSION}volumes:- certs:/usr/share/kibana/config/certs- kibanadata:/usr/share/kibana/dataports:- ${KIBANA_PORT}:5601environment:- SERVERNAME=kibana- ELASTICSEARCH_HOSTS=https://es01:9200- ELASTICSEARCH_USERNAME=kibana_system- ELASTICSEARCH_PASSWORD=${KIBANA_PASSWORD}- ELASTICSEARCH_SSL_CERTIFICATEAUTHORITIES=config/certs/ca/ca.crtmem_limit: ${MEM_LIMIT}healthcheck:test:["CMD-SHELL","curl -s -I http://localhost:5601 | grep -q 'HTTP/1.1 302 Found'",]interval: 10stimeout: 10sretries: 120volumes:certs:driver: localesdata01:driver: localesdata02:driver: localesdata03:driver: localkibanadata:driver: local

特别注意！！！特别注意！！！特别注意！！！特别注意！！！

上面文件的第一行 version: “2.2” 在后面运行时可能会造成如下错误：Non-string key at top level: true

[root@ycj docker]# docker-compose up -d
Non-string key at top level: true
[root@ycj docker]#

此时去掉文件第一行的version: "2.2"就可以了

在此文件夹创建.env文件，内容如下：

# Password for the 'elastic' user (at least 6 characters)
ELASTIC_PASSWORD=123456789# Password for the 'kibana_system' user (at least 6 characters)
KIBANA_PASSWORD=123456789# Version of Elastic products
STACK_VERSION=8.2.0# Set the cluster name
CLUSTER_NAME=docker-cluster# Set to 'basic' or 'trial' to automatically start the 30-day trial
LICENSE=basic
#LICENSE=trial# Port to expose Elasticsearch HTTP API to the host
ES_PORT=9200
#ES_PORT=127.0.0.1:9200# Port to expose Kibana to the host
KIBANA_PORT=5601
#KIBANA_PORT=80# Increase or decrease based on the available host memory (in bytes)
MEM_LIMIT=1073741824# Project namespace (defaults to the current folder name if not set)
#COMPOSE_PROJECT_NAME=myproject

注意：

这个文件可有可无，如果不要这个文件的话，则docker-compose.yml这个文件的里面的参数必须填上如文件上的
${CLUSTER_NAME} 变量必须写死。
docker-compose.yml文件的变量会引用**.env**文件的变量
.env文件和docker-compose.yml文件必须在同一个目录

在此目录启动

docker-compose up -d

此命令会创建镜像并启动容器等。一步到位。

其他命令

#停止并删除集群
docker-compose down#停止集群时删除网络、容器和卷
docker-compose down -v

复制pod 集群cert证书到宿主机路径的当前路径下
这个路径 /usr/share/elasticsearch/config/certs/ca/ca.crt 在 docker-compose.yml 中有配置。

docker cp docker-es01-1:/usr/share/elasticsearch/config/certs/ca/ca.crt .

在生产环境中在 Docker 中运行 Elasticsearch 时适用以下要求和建议。
设置vm.max_map_count为至少262144编辑
内核设置必须设置为vm.max_map_count至少262144用于生产用途。
如何设置vm.max_map_count取决于您的平台。

Linux编辑
要查看vm.max_map_count设置的当前值，请运行：

grep vm.max_map_count /etc/sysctl.conf
vm.max_map_count=262144

要在实时系统上应用设置，请运行：

sysctl -w vm.max_map_count=262144

要永久更改设置vm.max_map_count的值，请更新/etc/sysctl.conf中的值。

方式2

多机多节点。

步骤

1、准备三台机器，192.168.110.141~192.168.110.143
2、在每台机器新建文件夹mkdir /home/es/docker /home/es/docker/data 。并且为data文件夹赋予权限chmod 777 /home/es/docker/data
3、在每台机器的此目录下编写docker-compose.yml文件

192.168.110.141

version: '2.2'
services:es01: # 服务名称image: docker.elastic.co/elasticsearch/elasticsearch:7.13.3  # 使用的镜像container_name: es01  # 容器名称#restart: always   # 失败自动重启策略environment:  - node.name=es01  # 节点名称，集群模式下每个节点名称唯一- cluster.name=es-docker-cluster  # 集群名称，相同名称为一个集群， 三个es节点须一致- discovery.seed_hosts=es02,es03   # es7.0之后新增的写法，写入候选主节点的设备地址，在开启服务后，如果master挂了，哪些可以被投票选为主节点- cluster.initial_master_nodes=es01,es02,es03  # es7.0之后新增的配置，初始化一个新的集群时需要此配置来选举master- bootstrap.memory_lock=true  # 内存交换的选项，官网建议为true#- network.bind_host=0.0.0.0   # 设置绑定的ip地址，可以是ipv4或ipv6的，默认为0.0.0.0，即本机#- network.host=127.0.0.1- network.publish_host=es01  # 用于集群内各机器间通信,对外使用，其他机器访问本机器的es服务，一般为本机宿主机IP- cluster.join.timeout=180s- cluster.publish.timeout=180s        #- network.publish_host=192.168.4.170#- network.host=127.0.0.1- "ES_JAVA_OPTS=-Xms2048m -Xmx2048m"   # 设置内存，如内存不足，可以尝试调低点ulimits:  # 栈内存的上限memlock:soft: -1  # 不限制hard: -1  # 不限制volumes:- ./data:/usr/share/elasticsearch/data  # 存放数据的文件， 注意：这里的esdata为 顶级volumes下的一项。ports:- 9200:9200  # http端口，可以直接浏览器访问- 9300:9300  # es集群之间相互访问的端口，jar之间就是通过此端口进行tcp协议通信，遵循tcp协议。extra_hosts:- "es01:192.168.110.141"- "es02:192.168.110.142"- "es03:192.168.110.143"networks:- elastickib01:image: docker.elastic.co/kibana/kibana:7.13.3container_name: kib01ports:- 5601:5601extra_hosts:- "es01:192.168.110.141"- "es02:192.168.110.142"- "es03:192.168.110.143"environment:ELASTICSEARCH_URL: http://es01:9200ELASTICSEARCH_HOSTS: '["http://es01:9200","http://es02:9200","http://es03:9200"]'networks:- elastic
networks:elastic:driver: bridge

192.168.110.142

version: '2.2'
services:es02:image: docker.elastic.co/elasticsearch/elasticsearch:7.13.3container_name: es02environment:- node.name=es02- cluster.name=es-docker-cluster- discovery.seed_hosts=es01,es03- cluster.initial_master_nodes=es01,es02,es03- bootstrap.memory_lock=true#- network.bind_host=192.168.4.171#- network.host=127.0.0.1- network.publish_host=es02- cluster.join.timeout=180s- cluster.publish.timeout=180s      #- network.publish_host=192.168.4.170#- network.host=127.0.0.1- "ES_JAVA_OPTS=-Xms2048m -Xmx2048m"ulimits:memlock:soft: -1hard: -1volumes:- data:/usr/share/elasticsearch/dataports:- 9200:9200- 9300:9300extra_hosts:- "es01:192.168.110.141"- "es02:192.168.110.142"- "es03:192.168.110.143"networks:- elastic
volumes:data02:driver: local
networks:elastic:driver: bridge

192.168.110.143

version: '2.2'
services:es03:image: docker.elastic.co/elasticsearch/elasticsearch:7.13.3container_name: es03environment:- node.name=es03- cluster.name=es-docker-cluster- discovery.seed_hosts=es01,es02- cluster.initial_master_nodes=es01,es02,es03- bootstrap.memory_lock=true#- network.bind_host=192.168.4.171#- network.host=127.0.0.1- network.publish_host=es03- cluster.join.timeout=180s- cluster.publish.timeout=180s      #- network.publish_host=192.168.4.170#- network.host=127.0.0.1- "ES_JAVA_OPTS=-Xms2048m -Xmx2048m"ulimits:memlock:soft: -1hard: -1volumes:- data:/usr/share/elasticsearch/dataports:- 9200:9200- 9300:9300extra_hosts:- "es01:192.168.110.141"- "es02:192.168.110.142"- "es03:192.168.110.143"networks:- elastic
volumes:data02:driver: local
networks:elastic:driver: bridge

4、各机器下执行docker-compose命令

docker-compose -f docker-compose.yml up -d
#如果上面无法执行，执行下面的，2选1
docker compose -f docker-compose.yml up -d

如果启动失败了，可能是没有配置vm.max_map_count的值。

Linux编辑
要查看vm.max_map_count设置的当前值，请运行：

grep vm.max_map_count /etc/sysctl.conf
vm.max_map_count=262144

要在实时系统上应用设置，请运行：

sysctl -w vm.max_map_count=262144

要永久更改设置vm.max_map_count的值，请更新/etc/sysctl.conf中的值。

启动成功后：

安装 ik 分词器

从 ik 分词器项目仓库中下载 ik 分词器安装包，下载的版本需要与 Elasticsearch 版本匹配：
https://github.com/medcl/elasticsearch-analysis-ik

或者可以访问 gitee 镜像仓库：
https://gitee.com/mirrors/elasticsearch-analysis-ik

下载 elasticsearch-analysis-ik-7.13.3.zip 复制到 /root/ 目录下

在三个节点上分别安装 ik 分词器

# 复制 ik 分词器到三个 es 容器
docker cp elasticsearch-analysis-ik-7.13.3.zip es01:/root/# 在 es01 中安装 ik 分词器
docker exec -it es01 elasticsearch-plugin install file:///root/elasticsearch-analysis-ik-7.13.3.zip

查看安装结果
在浏览器中访问 http://192.168.110.141:9200/_cat/plugins可以看到结果

springboot配置es集群

导入包

    <dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-elasticsearch</artifactId></dependency>

方式1（springboot版本太高的话，很多属性会过时）：

spring:data:elasticsearch:cluster-name: mediacluster-nodes: 192.168.110.141:9300,192.168.110.142:9300,192.168.110.143:9300

方式2（上面不行时换下面的）

spring:elasticsearch:rest:uris: http://192.168.110.141:9200,http://192.168.110.142:9200,http://192.168.110.143:9200 #配置ES集群的地址, 多个地址之间我们使用,隔开即可。

es与java交互的默认端口号是9300，与http交互的端口号是9200