Elasticsearch + Docker：实现容器化部署指南_elasticsearch docker

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dockersystemctl daemon-reloadsystemctl 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 infoClient: Version: 27.3.1 Context: default Debug Mode: falseServer: Containers: 0 Running: 0 Paused: 0 Stopped: 0 Images: 1 Server Version: 27.3.1 Storage Driver: overlay2 Backing Filesystem: xfs Supports d_type: true Using metacopy: false Native Overlay Diff: true userxattr: false Logging Driver: json-file Cgroup Driver: cgroupfs Cgroup Version: 1 Plugins: Volume: local Network: bridge host ipvlan macvlan null overlay Log: awslogs fluentd gcplogs gelf journald json-file local splunk syslog Swarm: inactive Runtimes: io.containerd.runc.v2 runc Default Runtime: runc Init Binary: docker-init containerd version: 7f7fdf5fed64eb6a7caf99b3e12efcf9d60e311c runc version: v1.1.14-0-g2c9f560 init version: de40ad0 Security Options: seccomp Profile: builtin Kernel Version: 3.10.0-1160.el7.x86_64 Operating System: CentOS Linux 7 (Core) OSType: linux Architecture: x86_64 CPUs: 2 Total Memory: 7.777GiB Name: node3 ID: 11b2908d-4f1c-4d9f-9ea1-275e70e998f9 Docker Root Dir: /var/lib/docker Debug Mode: false Experimental: false Insecure Registries: 127.0.0.0/8 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/ Live Restore Enabled: false Product License: Community EngineWARNING: bridge-nf-call-iptables is disabledWARNING: 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:7.10.07.10.0: Pulling from elasticsearch/elasticsearche320e40c33f8: Downloading [====> ] 8.088MB/84.39MBe320e40c33f8: Downloading [=======>  ] 12.95MB/84.39MBe320e40c33f8: Downloading [=========>  ] 15.66MB/84.39MBe320e40c33f8: Downloading [==============>  ] 23.77MB/84.39MBe320e40c33f8: Downloading [======================> ] 37.28MB/84.39MBe320e40c33f8: Downloading [=============================>  ] 49.18MB/84.39MBe320e40c33f8: Downloading [====================================>  ] 61.07MB/84.39MBe320e40c33f8: Downloading [============================================> ] 75.67MB/84.39MBe320e40c33f8: Pull complete be0367056981: Pull complete 67e849725737: Pull complete 2689ab201ca3: Extracting [=====================> ] 148.7MB/345.7MB2689ab201ca3: Pull complete 054ab54cebfb: Pull complete 4e6ca8ea18d1: Pull complete 033f0d2daef0: Pull complete 3e873ca10c18: Pull complete 19c868cd4818: Pull complete Digest: sha256:3ad224719013a016ab4931d1891fcf873fdf6b8c38d0970e30fc1c8b0c07f436Status: Downloaded newer image for docker.elastic.co/elasticsearch/elasticsearch:7.10.0docker.elastic.co/elasticsearch/elasticsearch:7.10.0[root@node3 ~]# 

2.2 查看镜像

[root@node3 ~]# docker images |grep elasticsearchdocker.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:7.10.0075ec21030f78a17e28ce7901f7b89f836679a75f104ab6692ed04c5afba61db[root@node3 ~]# docker ps |grep elasticsearch075ec21030f7 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