Elasticsearch 单机安装

下载 Elasticsearch

Elasticsearch 版本 7.17.4
下载地址：https://www.elastic.co/cn/downloads/past-releases/elasticsearch-7-17-4

网速不好可以先下载在上传至服务器

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wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.17.4-linux-x86_64.tar.gz

tar -zvxf elasticsearch-7.17.4-linux-x86_64.tar.gz

配置 Elasticsearch

elasticsearch.yml

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vim config/elasticsearch.yml

+ network.host: 0.0.0.0
  • discovery.seed_hosts: 集群主机列表
  • discovery.seed_providers: 基于配置文件配置集群主机列表
  • cluster.initial_master_nodes: 启动时初始化的参与选主的node，生产环境必填
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# node.name: node-1
+ node.name: node-1

- #discovery.seed_hosts: ["host1", "host2"]
discovery.seed_hosts: ["node-1"]

- #cluster.initial_master_nodes: ["node-1", "node-2"]
+ cluster.initial_master_nodes: ["node-1"]

vm.max_map_count

查看当前最大描述符大小系统环境变量

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sysctl -a | grep vm.max_map_count

修改最大描述符大小

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vim /etc/sysctl.conf
+ vm.max_map_count=262144

修改后需要重启才能生效

不想重启可以设置临时生效

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sysctl -w vm.max_map_count=262144

JVM 分配大小

根据自己的内存自行调整，内存不够则会启动失败

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vim config/jvm.options

- ## -Xms4g
- ## -Xmx4g
+ -Xms512m
+ -Xmx512m

最大描述符和最大线程数

修改后需要重新登录生效

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vim /etc/security/limits.conf

# 添加以下内容
* soft nofile 65536
* hard nofile 65536
* soft nproc 4096
* hard nproc 4096
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$ ulimit -Hn
65536

启动 Elasticsearch

** 不能以 root 用户启动 **

创建用户

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useradd likfees
passwd likfees

增加管理员权限

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vim /etc/sudoers

+ likfees  ALL=(ALL)       ALL

修改 Elasticsearch 权限

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chown -R likfees:likfees elasticsearch-7.17.4
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# 切换用户
su likfees

启动命令

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bin/elasticsearch

# 后台启动
bin/elasticsearch -d

启动成功后 http://[ip]:9200 访问

访问失败请关闭防火墙

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systemctl stop firewalld

image-20220702150121318

分词器

elasticsearch-analysis-ik 分词器

https://github.com/medcl/elasticsearch-analysis-ik/releases/tag/v7.17.4

下载安装插件

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cd /opt/Software/es/elasticsearch-7.17.4/plugins
wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.17.4/elasticsearch-analysis-ik-7.17.4.zip

unzip -d ik elasticsearch-analysis-ik-7.17.4.zip

rm elasticsearch-analysis-ik-7.17.4.zip

elasticsearch-analysis-pinyin 拼音分词器

https://github.com/medcl/elasticsearch-analysis-pinyin/releases/tag/v7.17.4

下载安装插件

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cd /opt/Software/es/elasticsearch-7.17.4/plugins
wget https://github.com/medcl/elasticsearch-analysis-pinyin/releases/download/v7.17.4/elasticsearch-analysis-pinyin-7.17.4.zip

unzip -d pinyin elasticsearch-analysis-pinyin-7.17.4.zip

rm elasticsearch-analysis-pinyin-7.17.4.zip

启动 es7，查看启动日志文件

image-20220702190122203

Kibana

安装 Libana

kibana 版本 7.17.4
下载地址：https://www.elastic.co/cn/downloads/past-releases/kibana-7-17-4

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wget https://artifacts.elastic.co/downloads/kibana/kibana-7.17.4-linux-x86_64.tar.gz

tar -zvxf kibana-7.17.4-linux-x86_64.tar.gz

mv kibana-7.17.4-linux-x86_64.tar.gz kibana-7.17.4

配置 Kibana

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vim config/kibana.yml


server.port: 5601
server.host: "0.0.0.0"
elasticsearch.hosts: ["http://localhost:9200"]

启动 Kibana

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nohup bin/kibana > logs/kibana-start.log 2>&1 &

image-20220702195617909

image-20220702195906213

节点监控

image-20220702201323887

image-20220702201251621

测试分词器

Management -> Dev Tools

普通分词

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POST /_analyze
{
  "analyzer": "simple",
  "text": "我是一个程序员，嘿嘿嘿！"
}

image-20220702202029145

ik 分词

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POST /_analyze
{
  "analyzer": "ik_smart",
  "text": "我是一个程序员，嘿嘿嘿！"
}

pinyin 分词

  1. 使用自定义拼音分析器创建索引
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PUT /medcl/ 
{
    "settings" : {
        "analysis" : {
            "analyzer" : {
                "pinyin_analyzer" : {
                    "tokenizer" : "my_pinyin"
                    }
            },
            "tokenizer" : {
                "my_pinyin" : {
                    "type" : "pinyin",
                    "keep_separate_first_letter" : false,
                    "keep_full_pinyin" : true,
                    "keep_original" : true,
                    "limit_first_letter_length" : 16,
                    "lowercase" : true,
                    "remove_duplicated_term" : true
                }
            }
        }
    }
}
  1. 查询
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GET /medcl/_analyze
{
  "text": ["刘德华"],
  "analyzer": "pinyin_analyzer"
}

image-20220702210610533

Elasticsearch 集群

克隆三台虚拟机，并配置ip，删除 ./data 数据目录

修改elasticsearch.yml

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cluster.name: kkb-es
node.name: node-0  
node.master: true
network.host: 0.0.0.0
http.port: 9200
transport.tcp.port: 9300 # tcp 端口
discovery.zen.ping.unicast.hosts: ["192.168.147.66:9300","192.168.147.67:9300","192.168.147.68:9300"]
discovery.zen.minimum_master_nodes: 2
http.cors.enabled: true
http.cors.allow-origin: "*"