项目环境docker及docker-compose文档
1、Linux环境介绍
- centos7.6
- 16G以上内存空间(至少8G)
2、静态IP设置
1、找到配置文件 cd /etc/sysconfig/network-scripts/ vi ifcfg-ens33---------------------------- TYPE=EthernetPROXY_METHOD=noneBROWSER_ONLY=noBOOTPROTO=staticDEFROUTE=yesIPADDR=192.168.200.188NETMASK=255.255.255.0GATEWAY=192.168.200.2DNS1=114.114.114.114DNS2=8.8.8.8IPV4_FAILURE_FATAL=noIPV6INIT=yesIPV6_AUTOCONF=yesIPV6_DEFROUTE=yesIPV6_FAILURE_FATAL=noIPV6_ADDR_GEN_MODE=stable-privacyNAME=ens33UUID=b8fd5718-51f5-48f8-979b-b9f1f7a5ebf2DEVICE=ens33ONBOOT=yes-----------------------------------重启网卡service network restart测试网卡ping www.baidu.com 如果有字节输出,则表示网络正常
3、JDK安装
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4、Docker安装
安装docker
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设置镜像加速器
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注意:[“自己的镜像加速器地址”]
5、Docker-compose安装
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6、Nacos安装
- 创建一个文件夹
mkdir nacos
- 进入该文件夹中
cd nacosvi docker-compose.yml
- 编写docker-compose.yml文件
version
- 创建文件夹及文件
cd nacos
mkdir init.d
cd init.d
touch custom.properties
- 执行脚本
docker-compose up -d
7、MySQL安装
创建docker-compose.yml
- 创建一个文件夹
mkdir mysql
- 进入mysql文件夹中创建一个docker-compose.yml文件
cd mysql
vi docker-compose.yml
- 在docker-compose.yml中加入以下内容
version: '3'
services:
mysql:
container_name: mysql
environment:
TZ: Asia/Shanghai
MYSQL_ROOT_PASSWORD: "root"
image: "mysql:5.7"
restart: always
volumes:
- "./conf/my.cnf:/etc/my.cnf"
- "./data:/var/lib/mysql"
ports:
- "3306:3306"
- 创建文件(在mysql文件夹下)
mkdir conf
cd conf
touch my.cnf
- 在mysql文件夹下执行脚本
docker-compose up -d
8、ElasticSearch安装
- 创建一个文件夹
mkdir es
- 进入es文件夹中创建一个docker-compose.yml文件
vi docker-compose.yml
- 在docker-compose.yml中加入以下内容
version: '3'
services:
elasticsearch:
image: elasticsearch:7.4.0
container_name: elasticsearch
restart: always
environment:
- bootstrap.memory_lock=true
- http.cors.enabled=true
- http.cors.allow-origin=*
- "discovery.type=single-node"
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- /root/es/plugins:/usr/share/elasticsearch/plugins
ports:
- 9200:9200
- 9300:9300
kibana:
image: kibana:7.4.0
container_name: kibana
environment:
- SERVER_NAME=kibana
- ELASTICSEARCH_URL=http://192.168.200.137:9200
- XPACK_MONITORING_ENABLED=true
ports:
- 5601:5601
depends_on:
- elasticsearch
external_links:
- elasticsearch
- es文件夹下执行脚本
docker-compose up -d
- 设置中文IK分词器
因为在创建elasticsearch容器的时候,映射了目录,所以可以在宿主机上进行配置ik中文分词器
在去选择ik分词器的时候,需要与elasticsearch的版本好对应上
把资料中的 ik-7.4.0.tar
上传到服务器上,放到对应目录(plugins)解压
#上传压缩包到Linux中
#切换目录
cd es/plugins
#新建目录
mkdir analysis-ik
#root根目录解压
tar -xf ik-7.4.0.tar -C /root/es/plugins/analysis-ik
- 在重新启动es,进行测试
docker restart elasticsearch
- 连接kibana,测试iK分词器
ik_max_word中文分词器
GET _analyze
{
"analyzer": "ik_max_word",
"text":"中国人民真好看"
}
ik_smart中文分词器
GET _analyze
{
"analyzer": "ik_smart",
"text":"中国人民真好看"
}
默认分词器
GET _analyze
{
"analyzer": "standard",
"text":"中国人民真好看"
}
9、MinIo安装
- 创建文件夹
mkdir minio
- 进入文件夹
cd minio
- 创建docker-compose.yml
vi docker-compose.yml
- 编写以下内容
version: '3'
services:
minio:
image: minio/minio:RELEASE.2021-04-18T19-26-29Z
container_name: myminio
ports:
- 9000:9000
volumes:
- /var/minio/data:/data
- /var/minio/config:/root/.minio
environment:
MINIO_ACCESS_KEY: "minio"
MINIO_SECRET_KEY: "minio123"
command: server /data
restart: always
- 执行命令
docker-compose up -d
10、Redis安装
- 创建一个文件夹
mkdir redis
- 进入redis文件夹中创建一个docker-compose.yml文件
cd redis
vi docker-compose.yml
- 在docker-compose.yml中加入以下内容
version: '3'
services:
redis:
container_name: redis
image: redis:5.0.7
restart: always
ports:
- 6379:6379
volumes:
- ./conf/redis.conf:/etc/redis/redis.conf:rw
- ./data:/data:rw
command:
redis-server /etc/redis/redis.conf --appendonly yes
environment:
- TZ=Asia/Shanghai
- redis文件夹下执行脚本
docker-compose up -d
11、Kafka安装
- 创建一个文件夹
mkdir kafka
- 进入kafka文件夹中创建一个docker-compose.yml文件
cd kafka
vi docker-compose.yml
- 在docker-compose.yml中加入以下内容
version: '3'
services:
zookeeper-kafka:
image: wurstmeister/zookeeper
restart: unless-stopped
hostname: zookeeper-kafka
container_name: zookeeper-kafka
ports:
- 2777:2181
volumes:
- ./data:/data
- ./datalog:/datalog
kafka:
image: wurstmeister/kafka:2.12-2.4.1
depends_on:
- zookeeper-kafka
container_name: kafka
ports:
- 9092:9092
environment:
KAFKA_ADVERTISED_HOST_NAME: kafka
KAFKA_BROKER_ID: 0
KAFKA_ZOOKEEPER_CONNECT: 192.168.200.135:2777
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.200.135:9092
KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092
restart: unless-stopped
volumes:
- ./docker.sock:/var/run/docker.sock
KAFKA_ZOOKEEPER_CONNET:IP:zookeeper的端口号
IP要改成自己服务器的ip地址
- 在kafka文件夹下执行以下命令
docker-compose up -d
12、Kafka-manager安装(选装)
#拉取镜像
docker pull sheepkiller/kafka-manager
#创建容器
docker run -di --name=kafka-manager -p 9001:9000 --restart=always -e ZK_HOSTS=192.168.200.137:2777 sheepkiller/kafka-manager
ZK_HOSTS=192.168.200.129:2777
表示关联zookeeper的地址及端口号, 2777是zookeeper的对外端口号
13、MongoDB安装
- 创建一个文件夹
mkdir mongo
- 进入mongo文件夹中创建一个docker-compose.yml文件
cd mongo
vi docker-compose.yml
- 在docker-compose.yml中加入以下内容
version: '3.1'
services:
mongo:
image: mongo:5.0.2
restart: always
container_name: mongo
hostname: mongo
environment:
#用户名密码
MONGO_INITDB_ROOT_USERNAME: root
MONGO_INITDB_ROOT_PASSWORD: root
ports:
- 27017:27017
volumes:
- ./data:/data/db
networks:
mongo:
aliases:
- mongo1
networks:
mongo:
driver: bridge
- mongo文件夹下执行脚本
docker-compose up -d
安装完后,要对mongo进行认证操作cls
进入mongo内部
[root@localhost ~]# docker exec -it mongo /bin/bash
root@mongo:/# mongo
MongoDB shell version v4.4.5
connecting to: mongodb://127.0.0.1:27017/?compressors=disabled&gssapiServiceName=mongodb
Implicit session: session { "id" : UUID("f7c7c594-d5dd-473a-9ded-43609ac16a28") }
MongoDB server version: 4.4.5
> use admin
switched to db admin
> db.auth("root","root")
1
> show dbs
admin 0.000GB
config 0.000GB
local 0.000GB
14、Xxl-job安装
- 创建一个文件夹
mkdir xxljob
- 进入xxljob文件夹中创建一个docker-compose.yml文件
cd xxljob
vi docker-compose.yml
- 在docker-compose.yml中加入以下内容
version: '3'
services:
xxl-job:
image: xuxueli/xxl-job-admin:2.3.0
container_name: xxl-job
environment:
PARAMS: "--spring.datasource.url=jdbc:mysql://192.168.200.137:3306/xxl_job?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&serverTimezone=Asia/Shanghai --spring.datasource.username=root --spring.datasource.password=root"
ports:
- 8888:8080
volumes:
- /data/docker/xxl-job/logs/:/data/applogs/xxl-job/
- xxljob文件夹下执行脚本
docker-compose up -d
15、seata安装
1、安装
创建文件夹
mkdir seata
进入文件夹,然后创建docker-compose.yml
cd seata
vi docker-compose.yml
写入以下内容
version: "3"
services:
seata-server:
image: seataio/seata-server:1.4.2
hostname: seata-server
container_name: seata
restart: always
ports:
- "8091:8091"
environment:
- SEATA_PORT=8091
- SEATA_IP=192.168.200.104
volumes:
- /root/seata/config:/root/seata-config
生成容器
docker-compose up -d
查看容器是否启动
docker ps
2、修改参数
1、进入容器内部
docker exec -it seata sh
2、进入resources文件夹下
cd resources
3、修改registry.conf配置
vi registry.conf
注册中心配置:
配置中心:
具体详情:(也可参考windwos环境中的registry.conf文件)
registry {
# file ...nacos ...eureka...redis...zk...consul...etcd3...sofa
type = "nacos"
nacos {
application = "seata-tc-server"
serverAddr = "192.168.200.104:8848"
group = "SEATA_GROUP"
namespace = ""
cluster = "SH"
username = "nacos"
password = "nacos"
}
}
config {
# file...nacos ...apollo...zk...consul...etcd3
type = "nacos"
nacos {
serverAddr = "192.168.200.104:8848"
namespace = ""
group = "SEATA_GROUP"
username = "nacos"
password = "nacos"
dataId = "seataServer.properties"
}
}
3、退出容器
exit
4、重启容器
docker restart seata
5、查看日志
docker logs -f seata
docker cp mysql:/etc/mysql/mysql.conf.d/mysqld.cnf /root/mysqld.cnf
wait_timeout=86400
docker cp mysqld.cnf mysql:/etc/mysql/mysql.conf.d/mysqld.cnf
Original: https://www.cnblogs.com/gongss/p/16345015.html
Author: Gongss
Title: 项目相关环境docker版安装教程总结
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