Elasticsearch + Docker：实现容器化部署指南

Elasticsearch是一款强大的分布式搜索和分析引擎，广泛应用于日志分析、全文检索、实时数据分析等场景。而Docker作为一种轻量级的容器化技术，能够帮助开发者快速部署和管理应用。将Elasticsearch与Docker结合，不仅可以简化部署流程，还能提高资源利用率和系统可维护性。

1 环境准备

1.1 安装Docker

安装操作请参考：Docker入门指南：1分钟搞定安装 + 常用命令，轻松入门容器化！-CSDN博客

1.2 配置镜像地址

vim /etc/docker/daemon.json 
# 编辑/etc/docker/daemon.json文件，添加如下内容
{"registry-mirrors": ["https://proxy.1panel.live","https://docker.1panel.top","https://docker.1ms.run","https://docker.ketches.cn","https://docker.hpcloud.cloud","https://docker.1panel.live","http://mirrors.ustc.edu.cn","http://mirror.azure.cn","https://nrbewqda.mirror.aliyuncs.com","https://dmmxhzvq.mirror.aliyuncs.com"]
}

# 重新加载配置并重启docker
systemctl daemon-reload
systemctl restart docker.service

# 验证镜像地址是否生效可用，能够看到Registry Mirrors:说明正常
[root@node3 ~]# docker info
Client:Version:    27.3.1Context:    defaultDebug Mode: falseServer:Containers: 0Running: 0Paused: 0Stopped: 0Images: 1Server Version: 27.3.1Storage Driver: overlay2Backing Filesystem: xfsSupports d_type: trueUsing metacopy: falseNative Overlay Diff: trueuserxattr: falseLogging Driver: json-fileCgroup Driver: cgroupfsCgroup Version: 1Plugins:Volume: localNetwork: bridge host ipvlan macvlan null overlayLog: awslogs fluentd gcplogs gelf journald json-file local splunk syslogSwarm: inactiveRuntimes: io.containerd.runc.v2 runcDefault Runtime: runcInit Binary: docker-initcontainerd version: 7f7fdf5fed64eb6a7caf99b3e12efcf9d60e311crunc version: v1.1.14-0-g2c9f560init version: de40ad0Security Options:seccompProfile: builtinKernel Version: 3.10.0-1160.el7.x86_64Operating System: CentOS Linux 7 (Core)OSType: linuxArchitecture: x86_64CPUs: 2Total Memory: 7.777GiBName: node3ID: 11b2908d-4f1c-4d9f-9ea1-275e70e998f9Docker Root Dir: /var/lib/dockerDebug Mode: falseExperimental: falseInsecure Registries:127.0.0.0/8Registry Mirrors:https://proxy.1panel.live/https://docker.1panel.top/https://docker.1ms.run/https://docker.ketches.cn/https://docker.hpcloud.cloud/https://docker.1panel.live/http://mirrors.ustc.edu.cn/http://mirror.azure.cn/https://nrbewqda.mirror.aliyuncs.com/https://dmmxhzvq.mirror.aliyuncs.com/Live Restore Enabled: falseProduct License: Community EngineWARNING: bridge-nf-call-iptables is disabled
WARNING: bridge-nf-call-ip6tables is disabled
[root@node3 ~]# 

2 Docker部署安装

2.1 拉取镜像

# 配置镜像地无法拉取，我们直接使用如下命令从Docker Hub进行拉取
docker pull docker.elastic.co/elasticsearch/elasticsearch:7.10.0[root@node3 ~]# docker pull docker.elastic.co/elasticsearch/elasticsearch:7.10.0
7.10.0: Pulling from elasticsearch/elasticsearch
e320e40c33f8: Downloading [====>                                              ]  8.088MB/84.39MB
e320e40c33f8: Downloading [=======>                                           ]  12.95MB/84.39MB
e320e40c33f8: Downloading [=========>                                         ]  15.66MB/84.39MB
e320e40c33f8: Downloading [==============>                                    ]  23.77MB/84.39MB
e320e40c33f8: Downloading [======================>                            ]  37.28MB/84.39MB
e320e40c33f8: Downloading [=============================>                     ]  49.18MB/84.39MB
e320e40c33f8: Downloading [====================================>              ]  61.07MB/84.39MB
e320e40c33f8: Downloading [============================================>      ]  75.67MB/84.39MB
e320e40c33f8: Pull complete 
be0367056981: Pull complete 
67e849725737: Pull complete 
2689ab201ca3: Extracting [=====================>                             ]  148.7MB/345.7MB
2689ab201ca3: Pull complete 
054ab54cebfb: Pull complete 
4e6ca8ea18d1: Pull complete 
033f0d2daef0: Pull complete 
3e873ca10c18: Pull complete 
19c868cd4818: Pull complete 
Digest: sha256:3ad224719013a016ab4931d1891fcf873fdf6b8c38d0970e30fc1c8b0c07f436
Status: Downloaded newer image for docker.elastic.co/elasticsearch/elasticsearch:7.10.0
docker.elastic.co/elasticsearch/elasticsearch:7.10.0
[root@node3 ~]# 

2.2 查看镜像

[root@node3 ~]# docker images |grep elasticsearch
docker.elastic.co/elasticsearch/elasticsearch   7.10.0    37190fe5beea   4 years ago     774MB
[root@node3 ~]# 

2.3 启动容器

docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.10.0[root@node3 ~]# docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.10.0
075ec21030f78a17e28ce7901f7b89f836679a75f104ab6692ed04c5afba61db
[root@node3 ~]# docker ps |grep elasticsearch
075ec21030f7   docker.elastic.co/elasticsearch/elasticsearch:7.10.0   "/tini -- /usr/local…"   34 seconds ago   Up 31 seconds   0.0.0.0:9200->9200/tcp, :::9200->9200/tcp, 0.0.0.0:9300->9300/tcp, :::9300->9300/tcp   elasticsearch
[root@node3 ~]# 

2.4 验证

# curl访问
[root@node3 ~]# curl http://192.168.10.32:9200
{"name" : "075ec21030f7","cluster_name" : "docker-cluster","cluster_uuid" : "kC0qvmg6RFu29F5gY-OWIg","version" : {"number" : "7.10.0","build_flavor" : "default","build_type" : "docker","build_hash" : "51e9d6f22758d0374a0f3f5c6e8f3a7997850f96","build_date" : "2020-11-09T21:30:33.964949Z","build_snapshot" : false,"lucene_version" : "8.7.0","minimum_wire_compatibility_version" : "6.8.0","minimum_index_compatibility_version" : "6.0.0-beta1"},"tagline" : "You Know, for Search"
}
[root@node3 ~]# 

浏览器访问：http://192.168.10.32:9200/

3 总结

通过以上步骤，我们就完成了使用Docker快速部署Elasticsearch单节点操作。使用容器化部署不仅简化了环境配置，还提高了系统的可维护性和扩展性