|
|
|
|
@ -1,3 +1,6 @@
|
|
|
|
|
# 一、硬部署
|
|
|
|
|
无条件，可直接硬部署MYSQL与REDIS，即可使用项目。
|
|
|
|
|
|
|
|
|
|
## 01、安装MYSQL
|
|
|
|
|
|
|
|
|
|
**一**、下载并安装mysql：
|
|
|
|
|
@ -45,9 +48,67 @@ flush privileges;
|
|
|
|
|
exit
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**七**、在云服务上增加MySQL的端口
|
|
|
|
|
**七**、在云服务上增加MySQL的端口（打开防火墙对应端口）
|
|
|
|
|
|
|
|
|
|
## 02、安装REDIS
|
|
|
|
|
**一**、安装redis：
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
yum -y update
|
|
|
|
|
yum -y install redis
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**二**、修改配置文件
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
vi /etc/redis.conf
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
protected-mode no
|
|
|
|
|
port 6379
|
|
|
|
|
timeout 0
|
|
|
|
|
save 900 1
|
|
|
|
|
save 300 10
|
|
|
|
|
save 60 10000
|
|
|
|
|
rdbcompression yes
|
|
|
|
|
dbfilename dump.rdb
|
|
|
|
|
appendonly yes
|
|
|
|
|
appendfsync everysec
|
|
|
|
|
requirepass austin
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**三**、启动redis
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
systemctl start redis
|
|
|
|
|
service redis start
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**四**、检查redis状态
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
sudo systemctl status redis
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**五**、连接redis
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
# 默认端口号6379
|
|
|
|
|
redis-cli
|
|
|
|
|
|
|
|
|
|
# 验证密码
|
|
|
|
|
AUTH austin
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**六**、在云服务上增加Redis的端口（打开防火墙对应端口）
|
|
|
|
|
|
|
|
|
|
## 02、安装DOCKER和DOCKER-COMPOSE
|
|
|
|
|
---
|
|
|
|
|
|
|
|
|
|
# 二、DOCKER-COMPOSE方式部署
|
|
|
|
|
为方便管理与部署，可以选择DOCKER-COMPOSE方式部署组件，同理除了MYSQL与REDIS，其余组件都是**可选**。
|
|
|
|
|
|
|
|
|
|
## 01、安装DOCKER和DOCKER-COMPOSE
|
|
|
|
|
|
|
|
|
|
首先我们需要安装GCC相关的环境：
|
|
|
|
|
|
|
|
|
|
@ -121,17 +182,104 @@ sudo ln -s /usr/local/bin/docker-compose /usr/bin/docker-compose
|
|
|
|
|
docker-compose --version
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
（Austin项目的中间件使用docker进行部署，文件内容可以参考项目中`docker`文件夹)
|
|
|
|
|
|
|
|
|
|
## 03、安装KAFKA
|
|
|
|
|
## 02、安装MySql
|
|
|
|
|
|
|
|
|
|
新建搭建kafka环境的`docker-compose.yml`文件，内容如下：
|
|
|
|
|
`docker-compose.yaml`文件如下
|
|
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
version: '3'
|
|
|
|
|
services:
|
|
|
|
|
mysql:
|
|
|
|
|
image: mysql:5.7
|
|
|
|
|
container_name: mysql
|
|
|
|
|
restart: always
|
|
|
|
|
ports:
|
|
|
|
|
- 3306:3306
|
|
|
|
|
volumes:
|
|
|
|
|
- mysql-data:/var/lib/mysql
|
|
|
|
|
environment:
|
|
|
|
|
MYSQL_ROOT_PASSWORD: root123_A
|
|
|
|
|
TZ: Asia/Shanghai
|
|
|
|
|
command: --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci
|
|
|
|
|
volumes:
|
|
|
|
|
mysql-data:
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
docker-compose up -d
|
|
|
|
|
|
|
|
|
|
docker ps
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
部署后，初始化SQL为./doc/sql/austin.sql，其余SQL安装对应组件才需要
|
|
|
|
|
|
|
|
|
|
**安装文件详见./doc/docker/mysql目录**
|
|
|
|
|
|
|
|
|
|
## 03、安装REDIS
|
|
|
|
|
|
|
|
|
|
新建一个文件夹`redis`，然后在该目录下创建出`data`文件夹、`redis.conf`文件和`docker-compose.yaml`文件
|
|
|
|
|
|
|
|
|
|
`redis.conf`文件的内容如下(后面的配置可在这更改，比如requirepass 我指定的密码为`austin`)
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
protected-mode no
|
|
|
|
|
port 6379
|
|
|
|
|
timeout 0
|
|
|
|
|
save 900 1
|
|
|
|
|
save 300 10
|
|
|
|
|
save 60 10000
|
|
|
|
|
rdbcompression yes
|
|
|
|
|
dbfilename dump.rdb
|
|
|
|
|
dir /data
|
|
|
|
|
appendonly yes
|
|
|
|
|
appendfsync everysec
|
|
|
|
|
requirepass austin
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
`docker-compose.yaml`的文件内容如下：
|
|
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
version: '3'
|
|
|
|
|
services:
|
|
|
|
|
zookepper:
|
|
|
|
|
redis:
|
|
|
|
|
image: redis:3.2
|
|
|
|
|
container_name: redis
|
|
|
|
|
restart: always
|
|
|
|
|
ports:
|
|
|
|
|
- 6379:6379
|
|
|
|
|
volumes:
|
|
|
|
|
- ./redis.conf:/usr/local/etc/redis/redis.conf:rw
|
|
|
|
|
- ./data:/data:rw
|
|
|
|
|
command:
|
|
|
|
|
/bin/bash -c "redis-server /usr/local/etc/redis/redis.conf"
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
配置的工作就完了，如果是云服务器，记得开redis端口**6379**
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
docker-compose up -d
|
|
|
|
|
|
|
|
|
|
docker ps
|
|
|
|
|
|
|
|
|
|
docker exec -it redis redis-cli
|
|
|
|
|
|
|
|
|
|
auth austin
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**安装文件详见./doc/docker/redis目录**
|
|
|
|
|
|
|
|
|
|
## 04、安装KAFKA(可选)
|
|
|
|
|
|
|
|
|
|
新建搭建kafka环境的`docker-compose.yml`文件，内容如下：
|
|
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
version: '3'
|
|
|
|
|
services:
|
|
|
|
|
zookeeper:
|
|
|
|
|
image: wurstmeister/zookeeper # 原镜像`wurstmeister/zookeeper`
|
|
|
|
|
container_name: zookeeper # 容器名为'zookeeper'
|
|
|
|
|
volumes: # 数据卷挂载路径设置,将本机目录映射到容器目录
|
|
|
|
|
@ -154,10 +302,10 @@ services:
|
|
|
|
|
ports: # 映射端口
|
|
|
|
|
- "9092:9092"
|
|
|
|
|
depends_on: # 解决容器依赖启动先后问题
|
|
|
|
|
- zookepper
|
|
|
|
|
- zookeeper
|
|
|
|
|
|
|
|
|
|
kafka-manager:
|
|
|
|
|
image: sheepkiller/kafka-manager # 原镜像`sheepkiller/kafka-manager`
|
|
|
|
|
image: kafkamanager/kafka-manager # 原镜像`sheepkiller/kafka-manager`
|
|
|
|
|
container_name: kafka-manager # 容器名为'kafka-manager'
|
|
|
|
|
environment: # 设置环境变量,相当于docker run命令中的-e
|
|
|
|
|
ZK_HOSTS: zookeeper:2181
|
|
|
|
|
@ -208,65 +356,55 @@ $KAFKA_HOME/bin/kafka-topics.sh --create --topic austinRecall --partitions 1 --z
|
|
|
|
|
$KAFKA_HOME/bin/kafka-topics.sh --zookeeper zookeeper:2181 --describe --topic austinBusiness
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
## 04、安装REDIS
|
|
|
|
|
|
|
|
|
|
首先，我们新建一个文件夹`redis`，然后在该目录下创建出`data`文件夹、`redis.conf`文件和`docker-compose.yaml`文件
|
|
|
|
|
|
|
|
|
|
`redis.conf`文件的内容如下(后面的配置可在这更改，比如requirepass 我指定的密码为`austin`)
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
protected-mode no
|
|
|
|
|
port 6379
|
|
|
|
|
timeout 0
|
|
|
|
|
save 900 1
|
|
|
|
|
save 300 10
|
|
|
|
|
save 60 10000
|
|
|
|
|
rdbcompression yes
|
|
|
|
|
dbfilename dump.rdb
|
|
|
|
|
dir /data
|
|
|
|
|
appendonly yes
|
|
|
|
|
appendfsync everysec
|
|
|
|
|
requirepass austin
|
|
|
|
|
**安装文件详见./doc/docker/kafka目录**
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
## 05、安装APOLLO(可选)
|
|
|
|
|
|
|
|
|
|
`docker-compose.yaml`的文件内容如下：
|
|
|
|
|
```yaml
|
|
|
|
|
version: '2.1'
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
version: '3'
|
|
|
|
|
services:
|
|
|
|
|
redis:
|
|
|
|
|
image: redis:latest
|
|
|
|
|
container_name: redis
|
|
|
|
|
restart: always
|
|
|
|
|
apollo-quick-start:
|
|
|
|
|
image: nobodyiam/apollo-quick-start
|
|
|
|
|
container_name: apollo-quick-start
|
|
|
|
|
depends_on:
|
|
|
|
|
apollo-db:
|
|
|
|
|
condition: service_healthy
|
|
|
|
|
ports:
|
|
|
|
|
- 6379:6379
|
|
|
|
|
- "8080:8080"
|
|
|
|
|
- "8090:8090"
|
|
|
|
|
- "8070:8070"
|
|
|
|
|
links:
|
|
|
|
|
- apollo-db
|
|
|
|
|
|
|
|
|
|
apollo-db:
|
|
|
|
|
image: mysql:5.7
|
|
|
|
|
container_name: apollo-db
|
|
|
|
|
environment:
|
|
|
|
|
TZ: Asia/Shanghai
|
|
|
|
|
MYSQL_ALLOW_EMPTY_PASSWORD: 'yes'
|
|
|
|
|
healthcheck:
|
|
|
|
|
test: ["CMD", "mysqladmin" ,"ping", "-h", "localhost"]
|
|
|
|
|
interval: 5s
|
|
|
|
|
timeout: 1s
|
|
|
|
|
retries: 10
|
|
|
|
|
depends_on:
|
|
|
|
|
- apollo-dbdata
|
|
|
|
|
ports:
|
|
|
|
|
- "13306:3306"
|
|
|
|
|
volumes:
|
|
|
|
|
- ./redis.conf:/usr/local/etc/redis/redis.conf:rw
|
|
|
|
|
- ./data:/data:rw
|
|
|
|
|
command:
|
|
|
|
|
/bin/bash -c "redis-server /usr/local/etc/redis/redis.conf "
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
配置的工作就完了，如果是云服务器，记得开redis端口**6379**
|
|
|
|
|
|
|
|
|
|
启动Redis跟之前安装Kafka的时候就差不多啦
|
|
|
|
|
- ./sql:/docker-entrypoint-initdb.d
|
|
|
|
|
volumes_from:
|
|
|
|
|
- apollo-dbdata
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
docker-compose up -d
|
|
|
|
|
|
|
|
|
|
docker ps
|
|
|
|
|
|
|
|
|
|
docker exec -it redis redis-cli
|
|
|
|
|
|
|
|
|
|
auth austin
|
|
|
|
|
apollo-dbdata:
|
|
|
|
|
image: alpine:latest
|
|
|
|
|
container_name: apollo-dbdata
|
|
|
|
|
volumes:
|
|
|
|
|
- /var/lib/mysql
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
## 05、安装APOLLO
|
|
|
|
|
|
|
|
|
|
部署Apollo跟之前一样直接用`docker-compose`就完事了，在GitHub已经给出了对应的教程和`docker-compose.yml`以及相关的文件，直接复制粘贴就完事咯。
|
|
|
|
|
|
|
|
|
|
**PS: Apollo 的docker配置文件可以参考:docker/apollo/文件夹, 简单来说,在 docker/apollo/docker-quick-start/文件夹下执行docker-compose up -d 执行即可.**
|
|
|
|
|
|
|
|
|
|
目录结构最好保持一致：
|
|
|
|
|
@ -295,12 +433,13 @@ apollo配置样例可看example/apollo.properties文件的内容
|
|
|
|
|
|
|
|
|
|
动态线程池样例配置可看 dynamic-tp-apollo-dtp.yml 文件的内容
|
|
|
|
|
|
|
|
|
|
**安装文件详见./doc/docker/apollo目录**
|
|
|
|
|
|
|
|
|
|
## 06、安装PROMETHEUS和GRAFANA(可选)
|
|
|
|
|
|
|
|
|
|
存放`docker-compose.yml`的信息：
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
```yaml
|
|
|
|
|
version: '2'
|
|
|
|
|
|
|
|
|
|
networks:
|
|
|
|
|
@ -368,20 +507,30 @@ services:
|
|
|
|
|
|
|
|
|
|
新建prometheus的配置文件`prometheus.yml`
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
```yaml
|
|
|
|
|
global:
|
|
|
|
|
scrape_interval: 15s
|
|
|
|
|
evaluation_interval: 15s
|
|
|
|
|
scrape_interval: 1s
|
|
|
|
|
evaluation_interval: 1s
|
|
|
|
|
scrape_configs:
|
|
|
|
|
- job_name: 'prometheus'
|
|
|
|
|
static_configs:
|
|
|
|
|
- targets: ['ip:9090']
|
|
|
|
|
static_configs: # TODO ip地址自己填我有相同的端口，因为是有两台机器，你们可以干掉相同的端口
|
|
|
|
|
- targets: ['ip:9090']
|
|
|
|
|
- job_name: 'cadvisor'
|
|
|
|
|
static_configs:
|
|
|
|
|
- targets: ['ip:8899']
|
|
|
|
|
- targets: ['ip:8899']
|
|
|
|
|
- job_name: 'node'
|
|
|
|
|
static_configs:
|
|
|
|
|
- targets: ['ip:9100']
|
|
|
|
|
- targets: ['ip:9100']
|
|
|
|
|
- job_name: 'cadvisor2'
|
|
|
|
|
static_configs:
|
|
|
|
|
- targets: ['ip:8899']
|
|
|
|
|
- job_name: 'node2'
|
|
|
|
|
static_configs:
|
|
|
|
|
- targets: ['ip:9100']
|
|
|
|
|
- job_name: 'austin'
|
|
|
|
|
metrics_path: '/actuator/prometheus'
|
|
|
|
|
static_configs:
|
|
|
|
|
- targets: ['ip:8888']
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
（**这里要注意端口，按自己配置的来,ip也要填写为自己的**）
|
|
|
|
|
@ -434,6 +583,8 @@ import后就能直接看到高大上的监控页面了：
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
**安装文件详见./doc/docker/prometheus目录**
|
|
|
|
|
|
|
|
|
|
## 07、安装GRAYLOG（可选）-分布式日志收集框架
|
|
|
|
|
|
|
|
|
|
`docker-compose.yml`文件内容：
|
|
|
|
|
@ -500,32 +651,32 @@ networks:
|
|
|
|
|
|
|
|
|
|
最后配置`austin.grayLogIp`的ip即可实现分布式日志收集
|
|
|
|
|
|
|
|
|
|
## 08、XXL-JOB
|
|
|
|
|
|
|
|
|
|
文档：[https://www.xuxueli.com/xxl-job/#2.1%20%E5%88%9D%E5%A7%8B%E5%8C%96%E2%80%9C%E8%B0%83%E5%BA%A6%E6%95%B0%E6%8D%AE%E5%BA%93%E2%80%9D](https://www.xuxueli.com/xxl-job/#2.1%20%E5%88%9D%E5%A7%8B%E5%8C%96%E2%80%9C%E8%B0%83%E5%BA%A6%E6%95%B0%E6%8D%AE%E5%BA%93%E2%80%9D)
|
|
|
|
|
|
|
|
|
|
xxl-job的部署我这边其实是依赖官网的文档的，步骤可以简单总结为：
|
|
|
|
|
**安装文件详见./doc/docker/graylog目录**
|
|
|
|
|
|
|
|
|
|
**1**、把xxl-job的仓库拉下来
|
|
|
|
|
## 08、XXL-JOB(可选)
|
|
|
|
|
|
|
|
|
|
**2**、执行`/xxl-job/doc/db/tables_xxl_job.sql`的脚本（创建对应的库、创建表以及插入测试数据记录）
|
|
|
|
|
|
|
|
|
|
**3**、如果是**本地**启动「调度中心」则在`xxl-job-admin`的`application.properties`更改相应的数据库配置，改完启动即可
|
|
|
|
|
|
|
|
|
|
**4**、如果是**云服务**启动「调度中心」，则可以选择拉取`docker`镜像进行部署，我拉取的是`2.30`版本，随后执行以下命令即可：
|
|
|
|
|
|
|
|
|
|
```shell
|
|
|
|
|
docker pull xuxueli/xxl-job-admin:2.3.0
|
|
|
|
|
|
|
|
|
|
docker run -e PARAMS="--spring.datasource.url=jdbc:mysql://ip:3306/xxl_job?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&useSSL=false&zeroDateTimeBehavior=convertToNull --spring.datasource.username=root --spring.datasource.password=password " -p 6767:8080 --name xxl-job-admin -d xuxueli/xxl-job-admin:2.3.0
|
|
|
|
|
`docker-compose.yaml`文件如下
|
|
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
version: '3'
|
|
|
|
|
services:
|
|
|
|
|
austin-xxl-job:
|
|
|
|
|
image: xuxueli/xxl-job-admin:2.3.0
|
|
|
|
|
container_name: xxl-job-admin
|
|
|
|
|
restart: always
|
|
|
|
|
ports:
|
|
|
|
|
- "6767:8080"
|
|
|
|
|
environment:
|
|
|
|
|
PARAMS: '--spring.datasource.url=jdbc:mysql://ip:3306/xxl_job?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&useSSL=false&zeroDateTimeBehavior=convertToNull --spring.datasource.username=root --spring.datasource.password=root123_A'
|
|
|
|
|
# TODO 添加MySql网络，并更改ip
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**注意**：第二条命令的**ip**和**password**需要更改为自己的，并且，我开的是**6767**端口
|
|
|
|
|
**注意**：**ip**和**password**需要更改为自己的，并且，我开的是**6767**端口
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
## 09、Flink
|
|
|
|
|
**安装文件详见./doc/docker/xxljob目录**
|
|
|
|
|
|
|
|
|
|
## 09、Flink(可选)
|
|
|
|
|
|
|
|
|
|
部署Flink也是直接上docker-compose就完事了，值得注意的是：我们在部署的时候需要在配置文件里**指定时区**
|
|
|
|
|
|
|
|
|
|
@ -535,7 +686,7 @@ docker-compose.yml配置内容如下：
|
|
|
|
|
version: "2.2"
|
|
|
|
|
services:
|
|
|
|
|
jobmanager:
|
|
|
|
|
image: flink:latest
|
|
|
|
|
image: flink:1.16.1
|
|
|
|
|
ports:
|
|
|
|
|
- "8081:8081"
|
|
|
|
|
command: jobmanager
|
|
|
|
|
@ -547,7 +698,7 @@ services:
|
|
|
|
|
- CONTAINER_TIMEZONE=Asia/Shanghai
|
|
|
|
|
- TZ=Asia/Shanghai
|
|
|
|
|
taskmanager:
|
|
|
|
|
image: flink:latest
|
|
|
|
|
image: flink:1.16.1
|
|
|
|
|
depends_on:
|
|
|
|
|
- jobmanager
|
|
|
|
|
command: taskmanager
|
|
|
|
|
@ -560,10 +711,11 @@ services:
|
|
|
|
|
- CONTAINER_TIMEZONE=Asia/Shanghai
|
|
|
|
|
- TZ=Asia/Shanghai
|
|
|
|
|
```
|
|
|
|
|
**安装文件详见./doc/docker/flink目录**
|
|
|
|
|
|
|
|
|
|
## 10、HIVE
|
|
|
|
|
## 10、HIVE(可选)
|
|
|
|
|
|
|
|
|
|
部署Flink也是直接上docker-compose就完事了
|
|
|
|
|
部署Hive也是直接上docker-compose就完事了
|
|
|
|
|
|
|
|
|
|
1、把仓库拉到自己的服务器上
|
|
|
|
|
|
|
|
|
|
@ -648,7 +800,9 @@ docker-compose exec hive-server bash
|
|
|
|
|
/opt/hive/bin/beeline -u jdbc:hive2://localhost:10000
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
## 11、FLINK和HIVE融合
|
|
|
|
|
**安装文件详见./doc/docker/hive目录**
|
|
|
|
|
|
|
|
|
|
## 11、FLINK和HIVE融合(可选)
|
|
|
|
|
|
|
|
|
|
实时流处理的flink用的是docker-compose进行部署，而与hive融合的flink我这边是正常的姿势安装（主要是涉及的环境很多，用docker-compose就相对没那么方便了）
|
|
|
|
|
|
|
|
|
|
@ -881,23 +1035,154 @@ $KAFKA_HOME/bin/kafka-console-producer.sh --topic austinTraceLog --broker-list
|
|
|
|
|
{"state":"1","businessId":"2","ids":[1,2,3],"logTimestamp":"123123"}
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
## 12、安装METABASE
|
|
|
|
|
## 12、安装METABASE(可选)
|
|
|
|
|
|
|
|
|
|
部署`Metabase`很简单，也是使用`docker`进行安装部署，就两行命令（后续我会将其加入到`docker-compose`里面）。
|
|
|
|
|
```yaml
|
|
|
|
|
version: '3'
|
|
|
|
|
|
|
|
|
|
```shell
|
|
|
|
|
docker pull metabase/metabase:latest
|
|
|
|
|
services:
|
|
|
|
|
metabase:
|
|
|
|
|
image: metabase/metabase
|
|
|
|
|
container_name: metabase
|
|
|
|
|
ports:
|
|
|
|
|
- "5001:3000"
|
|
|
|
|
restart: always
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
```shell
|
|
|
|
|
docker run -d -p 5001:3000 --name metabase metabase/metabase
|
|
|
|
|
**安装文件详见./doc/docker/metabase目录**
|
|
|
|
|
|
|
|
|
|
## 13、安装单机nacos(可选)
|
|
|
|
|
|
|
|
|
|
`docker-compose.yaml`文件如下
|
|
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
version: "3"
|
|
|
|
|
services:
|
|
|
|
|
nacos1:
|
|
|
|
|
container_name: nacos-server
|
|
|
|
|
hostname: nacos-server
|
|
|
|
|
image: nacos/nacos-server:v2.1.0
|
|
|
|
|
environment:
|
|
|
|
|
- MODE=standalone
|
|
|
|
|
- PREFER_HOST_MODE=hostname
|
|
|
|
|
- SPRING_DATASOURCE_PLATFORM=mysql
|
|
|
|
|
- MYSQL_SERVICE_HOST=ip # TODO ip需设置
|
|
|
|
|
- MYSQL_SERVICE_PORT=3306
|
|
|
|
|
- MYSQL_SERVICE_USER=root
|
|
|
|
|
- MYSQL_SERVICE_PASSWORD=root123_A
|
|
|
|
|
- MYSQL_SERVICE_DB_NAME=nacos_config
|
|
|
|
|
- JVM_XMS=128m
|
|
|
|
|
- JVM_XMX=128m
|
|
|
|
|
- JVM_XMN=128m
|
|
|
|
|
volumes:
|
|
|
|
|
- /home/nacos/single-logs/nacos-server:/home/nacos/logs
|
|
|
|
|
- /home/nacos/init.d:/home/nacos/init.d
|
|
|
|
|
ports:
|
|
|
|
|
- 8848:8848
|
|
|
|
|
- 9848:9848
|
|
|
|
|
- 9849:9849
|
|
|
|
|
restart: on-failure
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**安装文件详见./doc/docker/nacos目录**
|
|
|
|
|
|
|
|
|
|
## 14、安装单机rabbitmq(可选)
|
|
|
|
|
|
|
|
|
|
`docker-compose.yaml`文件如下
|
|
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
version: '3'
|
|
|
|
|
services:
|
|
|
|
|
rabbitmq:
|
|
|
|
|
image: registry.cn-hangzhou.aliyuncs.com/zhengqing/rabbitmq:3.7.8-management # 原镜像`rabbitmq:3.7.8-management` 【 注：该版本包含了web控制页面 】
|
|
|
|
|
container_name: rabbitmq # 容器名为'rabbitmq'
|
|
|
|
|
hostname: my-rabbit
|
|
|
|
|
restart: unless-stopped # 指定容器退出后的重启策略为始终重启，但是不考虑在Docker守护进程启动时就已经停止了的容器
|
|
|
|
|
environment: # 设置环境变量,相当于docker run命令中的-e
|
|
|
|
|
TZ: Asia/Shanghai
|
|
|
|
|
LANG: en_US.UTF-8
|
|
|
|
|
RABBITMQ_DEFAULT_VHOST: my_vhost # 主机名
|
|
|
|
|
RABBITMQ_DEFAULT_USER: admin # 登录账号
|
|
|
|
|
RABBITMQ_DEFAULT_PASS: admin # 登录密码
|
|
|
|
|
volumes: # 数据卷挂载路径设置,将本机目录映射到容器目录
|
|
|
|
|
- "./rabbitmq/data:/var/lib/rabbitmq"
|
|
|
|
|
ports: # 映射端口
|
|
|
|
|
- "5672:5672"
|
|
|
|
|
- "15672:15672"
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
完了之后，我们就可以打开`5001`端口到`Metabase`的后台了。
|
|
|
|
|
**安装文件详见./doc/docker/rabbitmq目录**
|
|
|
|
|
|
|
|
|
|
## 15、安装单机rocketmq(可选)
|
|
|
|
|
|
|
|
|
|
`docker-compose.yaml`文件如下
|
|
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
version: '3.5'
|
|
|
|
|
services:
|
|
|
|
|
# mq服务
|
|
|
|
|
rocketmq_server:
|
|
|
|
|
image: foxiswho/rocketmq:server
|
|
|
|
|
container_name: rocketmq_server
|
|
|
|
|
ports:
|
|
|
|
|
- 9876:9876
|
|
|
|
|
volumes:
|
|
|
|
|
- ./rocketmq/rocketmq_server/logs:/opt/logs
|
|
|
|
|
- ./rocketmq/rocketmq_server/store:/opt/store
|
|
|
|
|
networks:
|
|
|
|
|
rocketmq:
|
|
|
|
|
aliases:
|
|
|
|
|
- rocketmq_server
|
|
|
|
|
|
|
|
|
|
# mq中间件
|
|
|
|
|
rocketmq_broker:
|
|
|
|
|
image: foxiswho/rocketmq:broker
|
|
|
|
|
container_name: rocketmq_broker
|
|
|
|
|
ports:
|
|
|
|
|
- 10909:10909
|
|
|
|
|
- 10911:10911
|
|
|
|
|
volumes:
|
|
|
|
|
- ./rocketmq/rocketmq_broker/logs:/opt/logs
|
|
|
|
|
- ./rocketmq/rocketmq_broker/store:/opt/store
|
|
|
|
|
- ./rocketmq/rocketmq_broker/conf/broker.conf:/etc/rocketmq/broker.conf
|
|
|
|
|
environment:
|
|
|
|
|
NAMESRV_ADDR: "rocketmq_server:9876"
|
|
|
|
|
JAVA_OPTS: " -Duser.home=/opt"
|
|
|
|
|
JAVA_OPT_EXT: "-server -Xms128m -Xmx128m -Xmn128m"
|
|
|
|
|
command: mqbroker -c /etc/rocketmq/broker.conf
|
|
|
|
|
depends_on:
|
|
|
|
|
- rocketmq_server
|
|
|
|
|
networks:
|
|
|
|
|
rocketmq:
|
|
|
|
|
aliases:
|
|
|
|
|
- rocketmq_broker
|
|
|
|
|
|
|
|
|
|
# mq可视化控制台
|
|
|
|
|
rocketmq_console_ng:
|
|
|
|
|
image: styletang/rocketmq-console-ng
|
|
|
|
|
container_name: rocketmq_console_ng
|
|
|
|
|
ports:
|
|
|
|
|
- 9002:8080
|
|
|
|
|
environment:
|
|
|
|
|
JAVA_OPTS: "-Drocketmq.namesrv.addr=rocketmq_server:9876 -Dcom.rocketmq.sendMessageWithVIPChannel=false"
|
|
|
|
|
depends_on:
|
|
|
|
|
- rocketmq_server
|
|
|
|
|
networks:
|
|
|
|
|
rocketmq:
|
|
|
|
|
aliases:
|
|
|
|
|
- rocketmq_console_ng
|
|
|
|
|
|
|
|
|
|
#容器通信network
|
|
|
|
|
networks:
|
|
|
|
|
rocketmq:
|
|
|
|
|
name: rocketmq
|
|
|
|
|
driver: bridge
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
**安装文件详见./doc/docker/rocketmq目录**
|
|
|
|
|
|
|
|
|
|
## 13、未完待续
|
|
|
|
|
## 未完待续
|
|
|
|
|
|
|
|
|
|
安装更详细的过程以及整个文章系列的更新思路都在公众号**Java3y**连载哟！
|
|
|
|
|
|
|
|
|
|
|
Java3y
4 months ago
committed by
GitHub