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docker部署文档修改

macro il y a 6 ans
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commit
c458239ec7
2 fichiers modifiés avec 8 ajouts et 11 suppressions
  1. 1 1
      README.md
  2. 7 10
      document/docker/docker-deploy.md

+ 1 - 1
README.md

@@ -146,7 +146,7 @@ Mysql | 5.7 | https://www.mysql.com/
 Redis | 3.2 | https://redis.io/download
 Elasticsearch | 6.2.2 | https://www.elastic.co/downloads
 MongoDb | 3.2 | https://www.mongodb.com/download-center
-RabbitMq | 5.25 | http://www.rabbitmq.com/download.html
+RabbitMq | 3.4.1 | http://www.rabbitmq.com/download.html
 nginx | 1.10 | http://nginx.org/en/download.html
 
 ### 搭建步骤

+ 7 - 10
document/docker/docker-deploy.md

@@ -85,27 +85,24 @@ rabbitmq:management
 
 ## elasticsearch安装
 ### 下载镜像文件
-docker pull elasticsearch:2.4
+docker pull elasticsearch:6.2.2
 ### 创建实例并运行
 docker run -p 9200:9200 -p 9300:9300 --name elasticsearch \
 -v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
 -v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \
--d elasticsearch:2.4
+-d elasticsearch:6.2.2
 ### 测试
 访问会返回版本信息:http://192.168.1.66:9200/
 ### 安装目录位置
 /usr/share/elasticsearch
-### 安装head插件
+### 安装head插件(可以不安装,仅用于测试)
 1. 进入docker内部bash:docker exec -it elasticsearch /bin/bash
-2. 安装插件:plugin install mobz/elasticsearch-head
+2. 安装插件,具体参考:https://github.com/mobz/elasticsearch-head
 3. 测试:http://192.168.1.66:9200/_plugin/head/
 ### 安装中文分词器IKAnalyzer
-1. 下载中文分词器:https://github.com/medcl/elasticsearch-analysis-ik/releases?after=v5.6.4 的zip包,并解压后重新压缩为.tar.gz文件
-2. 上传后拷贝到容器中:docker container cp elasticsearch-analysis-ik-1.10.6.tar.gz elasticsearch:/usr/share/elasticsearch/plugins
-3. 进入容器压缩文件所在目录:docker exec -it elasticsearch /bin/bash
-4. 进行解压操作:tar -xvf elasticsearch-analysis-ik-1.10.6.tar.gz
-5. 重新启动容器:docker restart elasticsearch
-6. 测试:
+1. 进入docker内部bash:docker exec -it elasticsearch /bin/bash
+2. 安装中文分词插件,执行以下命令:elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.2.2/elasticsearch-analysis-ik-6.2.2.zip
+3. 测试:
     - 访问header插件:打开地址http://192.168.1.66:9200/_plugin/head/ 
     - 选择复合查询,输入地址:POST:http://192.168.1.66:9200/_analyze 
     - 输入参数:JSON:{"analyzer":"ik","text":"我们是大数据开发人员"}