上一篇我们介绍了Docker的一些入门,这篇我们来实战安装下ElasticSearch。

一、Docker 部署 ElasticSearch

1、从仓库中查找所有ElasticSearch的镜像

[root@iZwz99dhxbd6xwly17tb3bZ app]# docker search elasticsearch
INDEX       NAME                                            DESCRIPTION                                     STARS     OFFICIAL   AUTOMATED
docker.io   docker.io/elasticsearch                         Elasticsearch is a powerful open source se...   3060      [OK]       
docker.io   docker.io/kibana                                Kibana gives shape to any kind of data — s...   1239      [OK]       
docker.io   docker.io/nshou/elasticsearch-kibana            Elasticsearch-6.3.1 Kibana-6.3.1                81                   [OK]
docker.io   docker.io/itzg/elasticsearch                    Provides an easily configurable Elasticsea...   66                   [OK]
docker.io   docker.io/mobz/elasticsearch-head               elasticsearch-head front-end and standalon...   34                   
docker.io   docker.io/kubernetes/fluentd-elasticsearch      An image that ingests Docker container log...   25                   
docker.io   docker.io/lmenezes/elasticsearch-kopf           elasticsearch kopf                              17                   [OK]
docker.io   docker.io/tutum/elasticsearch                   Elasticsearch image - listens in port 9200.     16                   [OK]
docker.io   docker.io/monsantoco/elasticsearch              ElasticSearch Docker image                      11                   [OK]
docker.io   docker.io/bitnami/elasticsearch                 Bitnami Docker Image for Elasticsearch          10                   [OK]
docker.io   docker.io/mesoscloud/elasticsearch              [UNMAINTAINED] Elasticsearch                    9                    [OK]
docker.io   docker.io/justwatch/elasticsearch_exporter      Elasticsearch stats exporter for Prometheus     7                    
docker.io   docker.io/taskrabbit/elasticsearch-dump         Import and export tools for elasticsearch       7                    [OK]
docker.io   docker.io/blacktop/elasticsearch                Alpine Linux based Elasticsearch Docker Image   5                    [OK]
docker.io   docker.io/centerforopenscience/elasticsearch    Elasticsearch                                   3                    [OK]
docker.io   docker.io/frodenas/elasticsearch                A Docker Image for Elasticsearch                3                    [OK]
docker.io   docker.io/barchart/elasticsearch-aws            Elasticsearch AWS node                          2                    
docker.io   docker.io/jetstack/elasticsearch-pet            An elasticsearch image for kubernetes PetSets   1                    [OK]
docker.io   docker.io/phenompeople/elasticsearch            Elasticsearch is a powerful open source se...   1                    [OK]
docker.io   docker.io/thingswise/elasticsearch              Elasticsearch + etcd2 peer discovery            1                    [OK]
docker.io   docker.io/18fgsa/elasticsearch                  Built from https://github.com/docker-libra...   0                    
docker.io   docker.io/backplane/elasticsearch-curator       Elasticsearch Curator (https://github.com/...   0                    
docker.io   docker.io/driveclutch/infra-elasticsearch-aws   Elasticsearch Docker for use in AWS             0                    [OK]
docker.io   docker.io/forkdelta/fluentd-elasticsearch       fluent/fluentd with fluent-plugin-elastics...   0                    [OK]
docker.io   docker.io/wreulicke/elasticsearch               elasticsearch                                   0                    [OK]

2、选择一个版本镜像进行拉取

[root@iZwz99dhxbd6xwly17tb3bZ ~]# docker pull docker.elastic.co/elasticsearch/elasticsearch:6.3.2
Trying to pull repository docker.elastic.co/elasticsearch/elasticsearch ... 
6.3.2: Pulling from docker.elastic.co/elasticsearch/elasticsearch
7dc0dca2b151: Pull complete 
72d60ff53590: Pull complete 
ca55c9f7cc1f: Pull complete 
822d6592a660: Pull complete 
22eceb1ece84: Pull complete 
30e73cf19e42: Pull complete 
f05e800ca884: Pull complete 
3e6ee2f75301: Pull complete 
Digest: sha256:8f06aecf7227dbc67ee62d8d05db680f8a29d0296ecd74c60d21f1fe665e04b0
Status: Downloaded newer image for docker.elastic.co/elasticsearch/elasticsearch:6.3.2

3、 查看镜像

[root@iZwz99dhxbd6xwly17tb3bZ ~]# docker images
REPOSITORY                                      TAG                 IMAGE ID            CREATED             SIZE
docker.io/elasticsearch                         latest              5acf0e8da90b        3 days ago          486 MB
docker.io/hello-world                           latest              4ab4c602aa5e        2 weeks ago         1.84 kB
docker.elastic.co/elasticsearch/elasticsearch   6.3.2               96dd1575de0f        2 months ago        826 MB


4、通过镜像,启动一个容器,并将9200和9300端口映射到本机(ElasticSearch的默认端口是9200,我们把宿主环境9200端口映射到Docker容器中的9200端口

[root@iZwz99dhxbd6xwly17tb3bZ ~]# docker run -d --name es -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:6.3.2
c11ef1beb4f3e82d74b8709f9462e83636551b6307cd816563a4a5539f17ac6b

5、 配置跨域,进入容器内部,修改elasticsearch.yml

[root@c11ef1beb4f3 elasticsearch]# ls
LICENSE.txt  NOTICE.txt  README.textile  bin  config  data  lib  logs  modules  plugins
[root@c11ef1beb4f3 elasticsearch]# cd config/
[root@c11ef1beb4f3 config]# ls
elasticsearch.keystore  ingest-geoip  log4j2.properties  roles.yml  users_roles
elasticsearch.yml       jvm.options   role_mapping.yml   users
[root@c11ef1beb4f3 config]# vi elasticsearch.yml

      新增跨域配置

cluster.name: "docker-cluster"
network.host: 0.0.0.0
http.cors.enabled: true
http.cors.allow-origin: "*"

# minimum_master_nodes need to be explicitly set when bound on a public IP
# set to 1 to allow single node clusters
# Details: https://github.com/elastic/elasticsearch/pull/17288
discovery.zen.minimum_master_nodes: 1

6、重启ElasticSearch容器

[root@iZwz99dhxbd6xwly17tb3bZ ~]# docker restart es
es

7、 浏览器访问ip:9200

二、Docker 部署 ElasticSearch-Head

ElasticSearch-Head是一个管理界面,可以查看ElasticSearch相关信息

1、拉取ElasticSearch-Head镜像

[root@iZwz99dhxbd6xwly17tb3bZ ~]# docker pull mobz/elasticsearch-head:5
Trying to pull repository docker.io/mobz/elasticsearch-head ... 
5: Pulling from docker.io/mobz/elasticsearch-head
75a822cd7888: Pull complete 
57de64c72267: Pull complete 
4306be1e8943: Pull complete 
871436ab7225: Pull complete 
0110c26a367a: Pull complete 
1f04fe713f1b: Pull complete 
723bac39028e: Pull complete 
7d8cb47f1c60: Pull complete 
7328dcf65c42: Pull complete 
b451f2ccfb9a: Pull complete 
304d5c28a4cf: Pull complete 
4cf804850db1: Pull complete 
Digest: sha256:55a3c82dd4ba776e304b09308411edd85de0dc9719f9d97a2f33baa320223f34
Status: Downloaded newer image for docker.io/mobz/elasticsearch-head:5

2、 运行ElasticSearch-Head容器

[root@iZwz99dhxbd6xwly17tb3bZ ~]# docker run -d --name es_admin -p 9100:9100 mobz/elasticsearch-head:5
76b0903ac01bc642d4d3ad238134df7312473a44c5b9f603f97f6742a759e629

3、浏览器访问 ip:9100

三、Docker部署ik中文分词插件

1、进入es容器内部,/plugins下新建ik文件夹

[root@iZwz99dhxbd6xwly17tb3bZ ~]# docker exec -it es /bin/bash
[root@970f612c5cac elasticsearch]# ls
LICENSE.txt  NOTICE.txt  README.textile  bin  config  data  lib  logs  modules  plugins
[root@970f612c5cac elasticsearch]# cd plugins/
[root@970f612c5cac plugins]# mkdir ik
[root@970f612c5cac plugins]# ls
ik  ingest-geoip  ingest-user-agent

2、下载与es对应版本的ik压缩包,并解压

[root@970f612c5cac plugins]# cd ik 
[root@970f612c5cac ik]# wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.3.2/elasticsearch-analysis-ik-6.3.2.zip
[root@970f612c5cac ik]# unzip elasticsearch-analysis-ik-6.3.2.zip
[root@970f612c5cac ik]# ls
commons-codec-1.9.jar    elasticsearch-analysis-ik-6.3.2.jar  plugin-descriptor.properties
commons-logging-1.2.jar  httpclient-4.5.2.jar                 plugin-security.policy
config                   httpcore-4.4.4.jar

3、退出容器,重启es容器 

[root@970f612c5cac ik]# exit
exit
[root@iZwz99dhxbd6xwly17tb3bZ ~]# docker restart es

4、测试ik分词插件,postman请求以下参数

结果返回如下 ,说明安装成功

{
  "tokens": [
    {
      "token": "看到",
      "start_offset": 0,
      "end_offset": 2,
      "type": "CN_WORD",
      "position": 0
    },
    {
      "token": "这里是",
      "start_offset": 2,
      "end_offset": 5,
      "type": "CN_WORD",
      "position": 1
    },
    {
      "token": "这里",
      "start_offset": 2,
      "end_offset": 4,
      "type": "CN_WORD",
      "position": 2
    },
    {
      "token": "是不是",
      "start_offset": 4,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 3
    },
    {
      "token": "不是",
      "start_offset": 5,
      "end_offset": 7,
      "type": "CN_WORD",
      "position": 4
    },
    {
      "token": "感觉",
      "start_offset": 7,
      "end_offset": 9,
      "type": "CN_WORD",
      "position": 5
    },
    {
      "token": "很简单",
      "start_offset": 9,
      "end_offset": 12,
      "type": "CN_WORD",
      "position": 6
    },
    {
      "token": "简单",
      "start_offset": 10,
      "end_offset": 12,
      "type": "CN_WORD",
      "position": 7
    },
    {
      "token": "呢",
      "start_offset": 12,
      "end_offset": 13,
      "type": "CN_CHAR",
      "position": 8
    }
  ]
}

至此Docker安装 Elasticsearch已基本完成,从中我们可以清晰感受到Docker的强大之处!

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