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# Docker Windows 新手启动指南
本地 Windows 开发环境启动 MySQL / Redis / RabbitMQ 三个容器。
## 前置条件
- 已安装并启动 **Docker Desktop**(任务栏图标变绿才算启动完成)
## 首次启动(只做一次)
1. 创建 MySQL 数据卷:
```powershell
docker volume create changzhou_mysql_data
```
2. 启动容器(⚠️ 必须先 cd 到 compose 目录,且必须带两个 -f 参数):
```powershell
cd d:\changzhou_app\changzhou_backend\docker\compose
docker-compose -f docker-compose.yml -f docker-compose.dev.yml up -d
```
> ⚠️ **不要只执行 `docker-compose up -d`**!
> 少了 `-f docker-compose.dev.yml` 会导致 Redis 容器找不到 redis.conf,
> 状态一直是 Restarting 无限重启。
> dev 覆盖文件负责把 `docker/config/redis/redis.dev.conf` 挂载进容器。
3. 验证:
```powershell
docker ps
# 三个容器都应为 Up 状态:mysql_db / redis_cache / rabbitmq_server
docker exec redis_cache redis-cli ping
# 返回 NOAUTH Authentication required. 是正常的(Redis 已启动且带密码)
```
## 端口对照表(宿主机 → 容器)
| 服务 | 本机地址 | 容器端口 | 账号信息 |
|------|---------|---------|---------|
| MySQL | 127.0.0.1:23306 | 3306 | root/123456,业务库 changzhou |
| Redis | 127.0.0.1:26379 | 6379 | 密码见 redis.dev.conf |
| RabbitMQ | 127.0.0.1:25672 | 5672 | skins/mk,vhost /skins |
| RabbitMQ 管理台 | http://127.0.0.1:35672 | 15672 | skins/mk |
## 日常操作
```powershell
# 都在 docker\compose 目录下执行
cd d:\changzhou_app\changzhou_backend\docker\compose
# 启动
docker-compose -f docker-compose.yml -f docker-compose.dev.yml up -d
# 停止
docker-compose -f docker-compose.yml -f docker-compose.dev.yml stop
# 查看状态
docker ps
# 查看某个容器日志
docker logs redis_cache --tail 50
# 重建某个容器(比如改了配置)
docker-compose -f docker-compose.yml -f docker-compose.dev.yml up -d --force-recreate redis
```
## 常见问题
### 1. Redis 一直 Restarting
启动命令少了 `-f docker-compose.dev.yml`,重建即可:
```powershell
cd d:\changzhou_app\changzhou_backend\docker\compose
docker-compose -f docker-compose.yml -f docker-compose.dev.yml up -d --force-recreate redis
```
### 2. 提示 `external volume "changzhou_mysql_data" not found`
```powershell
docker volume create changzhou_mysql_data
```
### 3. 提示 `cannot find the file specified`
没有 cd 到 `docker\compose` 目录就执行了命令,`-f` 的相对路径按当前目录解析。
### 4. 和 chengdu 项目切换
端口可能冲突,先到另一个项目的 compose 目录执行 `docker-compose stop`,再启动本项目。
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#!/bin/bash
set -e
# 自动创建 external 数据卷(首次部署时)
for vol in changzhou_mysql_data; do
docker volume inspect "$vol" >/dev/null 2>&1 || docker volume create "$vol" >/dev/null
done
# 环境选择:ENV=dev 使用开发规格,否则按 CPU 核数自动检测
if [ "${ENV:-prod}" = "dev" ]; then
SIZE="dev"
else
CPUS=$(nproc)
if [ "$CPUS" -le 16 ]; then
SIZE="16c32g"
else
SIZE="32c64g"
fi
fi
# 镜像源:默认海外,PROXY=cn 切换国内代理
if [ "${PROXY:-overseas}" = "cn" ]; then
export COMPOSE_FILE="docker-compose.yml:docker-compose.cn.yml:docker-compose.${SIZE}.yml"
else
export COMPOSE_FILE="docker-compose.yml:docker-compose.${SIZE}.yml"
fi
echo "Env: ${ENV:-prod} | Size: ${SIZE} | Proxy: ${PROXY:-cn}"
exec docker compose "$@"
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services:
mysql:
build:
args:
MYSQL_CONF: my.cnf.16c32g
shm_size: 128m
mem_limit: 8g
cpus: 4
redis:
volumes:
- ../config/redis/redis.16c32g.conf:/usr/local/etc/redis/redis.conf:ro
mem_limit: 2g
cpus: 1
rabbitmq:
mem_limit: 2g
cpus: 1
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services:
mysql:
build:
args:
MYSQL_CONF: my.cnf.32c64g
shm_size: 256m
mem_limit: 12g
cpus: 8
redis:
volumes:
- ../config/redis/redis.32c64g.conf:/usr/local/etc/redis/redis.conf:ro
mem_limit: 4g
cpus: 2
rabbitmq:
mem_limit: 4g
cpus: 2
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services:
mysql:
build:
args:
MYSQL_BASE_IMAGE: m.daocloud.io/docker.io/mysql:8.0.24
redis:
image: m.daocloud.io/docker.io/redis:latest
rabbitmq:
image: m.daocloud.io/docker.io/rabbitmq:3.9-management
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services:
mysql:
build:
args:
MYSQL_CONF: my.cnf.dev
shm_size: 64m
mem_limit: 1g
redis:
volumes:
- ../config/redis/redis.dev.conf:/usr/local/etc/redis/redis.conf:ro
mem_limit: 256m
rabbitmq:
mem_limit: 256m
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services:
# MySQL 8.0.24 服务
mysql:
build:
context: ../config/mysql
dockerfile: Dockerfile
args:
MYSQL_BASE_IMAGE: mysql:8.0.24
MYSQL_CONF: my.cnf.16c32g
container_name: mysql_db
restart: unless-stopped
environment:
TZ: Asia/Shanghai
MYSQL_ROOT_PASSWORD: 123456
MYSQL_DATABASE: changzhou
MYSQL_USER: changzhou
MYSQL_PASSWORD: iTSJSPPZM3LSGAPC
ports:
- "127.0.0.1:23306:3306"
volumes:
- mysql_data:/var/lib/mysql
logging:
driver: json-file
options:
max-size: "50m"
max-file: "3"
healthcheck:
test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-uroot", "-p123456"]
interval: 10s
timeout: 5s
retries: 5
start_period: 30s
networks:
- changzhou_app_network
# Redis 服务
redis:
image: redis:latest
container_name: redis_cache
restart: unless-stopped
command: redis-server /usr/local/etc/redis/redis.conf
ports:
- "127.0.0.1:26379:6379"
logging:
driver: json-file
options:
max-size: "50m"
max-file: "3"
networks:
- changzhou_app_network
# RabbitMQ 3.9 服务
rabbitmq:
image: rabbitmq:3.9-management
container_name: rabbitmq_server
restart: unless-stopped
environment:
RABBITMQ_DEFAULT_USER: skins
RABBITMQ_DEFAULT_PASS: mk
ports:
- "127.0.0.1:25672:5672"
- "127.0.0.1:35672:15672"
command: >
bash -c "rabbitmq-server &
sleep 20 &&
rabbitmqctl add_vhost /skins &&
rabbitmqctl set_permissions -p /skins skins '.*' '.*' '.*' &&
rabbitmqadmin --vhost=/skins --username=skins --password=mk declare queue name=notice_queue durable=true &&
rabbitmqadmin --vhost=/skins --username=skins --password=mk declare queue name=dlk_queue durable=true &&
rabbitmqadmin --vhost=/skins --username=skins --password=mk declare queue name=delivery_queue durable=true &&
wait"
logging:
driver: json-file
options:
max-size: "50m"
max-file: "3"
networks:
- changzhou_app_network
# 定义数据卷(external 固定卷名,不随目录变化,防止换目录丢数据)
volumes:
mysql_data:
external: true
name: changzhou_mysql_data
# 定义网络
networks:
changzhou_app_network:
driver: bridge
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#!/bin/bash
# MySQL 数据卷迁移脚本
# 将旧自动命名卷的数据复制到 external 卷 changzhou_mysql_data
# 用法:bash migrate-mysql-volume.sh [旧卷名]
# 不传参数时自动检测 docker_changzhou_mysql_data 和 docker-cn_changzhou_mysql_data
set -e
NEW_VOL="changzhou_mysql_data"
IMAGE="mysql:8.0.24"
# 自动检测旧卷名
if [ -n "$1" ]; then
OLD_VOL="$1"
else
for candidate in docker_changzhou_mysql_data docker-cn_changzhou_mysql_data; do
if docker volume inspect "$candidate" >/dev/null 2>&1; then
OLD_VOL="$candidate"
break
fi
done
fi
if [ -z "$OLD_VOL" ]; then
echo "ERROR: 未找到旧数据卷,请手动指定:bash migrate-mysql-volume.sh <旧卷名>"
echo "可用的卷列表:"
docker volume ls --format ' {{.Name}}' | grep -i mysql || echo " (无 mysql 相关卷)"
exit 1
fi
# 检查新卷是否存在
if ! docker volume inspect "$NEW_VOL" >/dev/null 2>&1; then
echo "创建 external 卷: $NEW_VOL"
docker volume create "$NEW_VOL"
fi
# 检查旧卷数据大小
OLD_SIZE=$(docker run --rm -v "${OLD_VOL}:/data" "$IMAGE" sh -c "du -sh /data" 2>/dev/null | awk '{print $1}')
echo "旧卷 $OLD_VOL 数据量: $OLD_SIZE"
# 停掉 MySQL 容器(如果在运行)
if docker inspect mysql_db >/dev/null 2>&1; then
echo "停止 MySQL 容器..."
docker stop mysql_db 2>/dev/null || true
fi
# 清空新卷(避免数据叠加)
echo "清空新卷 $NEW_VOL ..."
docker volume rm "$NEW_VOL" >/dev/null
docker volume create "$NEW_VOL" >/dev/null
# 复制数据
echo "开始迁移 $OLD_VOL -> $NEW_VOL ..."
docker run --rm \
-v "${OLD_VOL}:/from" \
-v "${NEW_VOL}:/to" \
"$IMAGE" \
sh -c "cp -a /from/. /to/"
# 验证
NEW_SIZE=$(docker run --rm -v "${NEW_VOL}:/data" "$IMAGE" sh -c "du -sh /data" 2>/dev/null | awk '{print $1}')
echo "新卷 $NEW_VOL 数据量: $NEW_SIZE"
echo "迁移完成!旧卷 $OLD_VOL 保留作为备份。"
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ARG MYSQL_BASE_IMAGE=mysql:8.0.24
FROM ${MYSQL_BASE_IMAGE}
ARG MYSQL_CONF=my.cnf.16c32g
COPY ${MYSQL_CONF} /etc/mysql/conf.d/my.cnf
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[mysqld]
# ===== 网络 =====
skip-host-cache
skip-name-resolve
# ===== InnoDB 核心性能(16C/32G 服务器 / SSD) =====
innodb_buffer_pool_size = 5G
innodb_flush_method = O_DIRECT
innodb_flush_log_at_trx_commit = 2
innodb_log_file_size = 512M
innodb_log_files_in_group = 2
innodb_log_buffer_size = 32M
innodb_io_capacity = 1000
innodb_io_capacity_max = 4000
innodb_read_io_threads = 4
innodb_write_io_threads = 4
# ===== 禁用 binlog(无需主从复制) =====
skip-log-bin
# ===== 连接数 =====
max_connections = 200
max_user_connections = 180
# ===== 临时表 =====
tmp_table_size = 32M
max_heap_table_size = 32M
# ===== 慢查询日志 =====
slow_query_log = ON
slow_query_log_file = /var/lib/mysql/slow.log
long_query_time = 1
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[mysqld]
# ===== 网络 =====
skip-host-cache
skip-name-resolve
# ===== InnoDB 核心性能(32C/64G 服务器 / SSD) =====
innodb_buffer_pool_size = 8G
innodb_flush_method = O_DIRECT
innodb_flush_log_at_trx_commit = 2
innodb_log_file_size = 1G
innodb_log_files_in_group = 2
innodb_log_buffer_size = 64M
innodb_io_capacity = 1000
innodb_io_capacity_max = 4000
innodb_read_io_threads = 8
innodb_write_io_threads = 8
# ===== 禁用 binlog(无需主从复制) =====
skip-log-bin
# ===== 连接数 =====
max_connections = 300
max_user_connections = 280
# ===== 临时表 =====
tmp_table_size = 64M
max_heap_table_size = 64M
# ===== 慢查询日志 =====
slow_query_log = ON
slow_query_log_file = /var/lib/mysql/slow.log
long_query_time = 1
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[mysqld]
# ===== 网络 =====
skip-host-cache
skip-name-resolve
# ===== InnoDB 核心性能(开发环境) =====
innodb_buffer_pool_size = 256M
innodb_flush_log_at_trx_commit = 2
innodb_log_file_size = 128M
innodb_log_files_in_group = 2
innodb_log_buffer_size = 8M
innodb_io_capacity = 1000
innodb_io_capacity_max = 2000
innodb_read_io_threads = 4
innodb_write_io_threads = 4
# ===== 禁用 binlog =====
skip-log-bin
# ===== 连接数 =====
max_connections = 30
max_user_connections = 25
# ===== 临时表 =====
tmp_table_size = 32M
max_heap_table_size = 32M
# ===== 慢查询日志 =====
slow_query_log = ON
slow_query_log_file = /var/lib/mysql/slow.log
long_query_time = 1
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# Redis configuration file
bind 0.0.0.0
port 6379
timeout 300
tcp-keepalive 300
daemonize no
pidfile /var/run/redis.pid
loglevel notice
logfile stdout
databases 16
save 900 1
save 300 10
save 60 10000
stop-writes-on-bgsave-error yes
rdbcompression yes
rdbchecksum yes
dbfilename dump.rdb
dir /data
requirepass FireSkins@99999
masterauth FireSkins@99999
rename-command FLUSHDB ""
rename-command FLUSHALL ""
maxclients 10000
maxmemory 1gb
maxmemory-policy volatile-lru
appendonly no
appendfilename "appendonly.aof"
appendfsync everysec
no-appendfsync-on-rewrite no
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
lua-time-limit 5000
slowlog-log-slower-than 10000
slowlog-max-len 128
hash-max-listpack-entries 512
hash-max-listpack-value 64
list-max-listpack-size -2
set-max-intset-entries 512
set-max-listpack-entries 128
set-max-listpack-value 64
zset-max-listpack-entries 128
zset-max-listpack-value 64
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60
hz 10
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# Redis configuration file
bind 0.0.0.0
port 6379
timeout 300
tcp-keepalive 300
daemonize no
pidfile /var/run/redis.pid
loglevel notice
logfile stdout
databases 16
save 900 1
save 300 10
save 60 10000
stop-writes-on-bgsave-error yes
rdbcompression yes
rdbchecksum yes
dbfilename dump.rdb
dir /data
requirepass FireSkins@99999
masterauth FireSkins@99999
rename-command FLUSHDB ""
rename-command FLUSHALL ""
maxclients 10000
maxmemory 2gb
maxmemory-policy volatile-lru
appendonly no
appendfilename "appendonly.aof"
appendfsync everysec
no-appendfsync-on-rewrite no
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
lua-time-limit 5000
slowlog-log-slower-than 10000
slowlog-max-len 128
hash-max-listpack-entries 512
hash-max-listpack-value 64
list-max-listpack-size -2
set-max-intset-entries 512
set-max-listpack-entries 128
set-max-listpack-value 64
zset-max-listpack-entries 128
zset-max-listpack-value 64
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60
hz 10
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# Redis configuration file
bind 0.0.0.0
port 6379
timeout 300
tcp-keepalive 300
daemonize no
pidfile /var/run/redis.pid
loglevel notice
logfile stdout
databases 16
save 900 1
save 300 10
save 60 10000
stop-writes-on-bgsave-error yes
rdbcompression yes
rdbchecksum yes
dbfilename dump.rdb
dir /data
requirepass FireSkins@99999
masterauth FireSkins@99999
rename-command FLUSHDB ""
rename-command FLUSHALL ""
maxclients 10000
maxmemory 128mb
maxmemory-policy volatile-lru
appendonly no
appendfilename "appendonly.aof"
appendfsync everysec
no-appendfsync-on-rewrite no
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
lua-time-limit 5000
slowlog-log-slower-than 10000
slowlog-max-len 128
hash-max-listpack-entries 512
hash-max-listpack-value 64
list-max-listpack-size -2
set-max-intset-entries 512
set-max-listpack-entries 128
set-max-listpack-value 64
zset-max-listpack-entries 128
zset-max-listpack-value 64
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60
hz 10
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# Docker 基础设施
## 目录结构
```
docker/
├── compose/ # Docker Compose 文件 + 脚本
│ ├── docker-compose.yml # 主文件 (MySQL + Redis + RabbitMQ)
│ ├── docker-compose.cn.yml # 国内镜像源 override
│ ├── docker-compose.dev.yml # 开发环境资源限制
│ ├── docker-compose.16c32g.yml # 16C/32G 服务器资源规格
│ ├── docker-compose.32c64g.yml # 32C/64G 服务器资源规格
│ ├── deploy.sh # 智能部署脚本
│ └── migrate-mysql-volume.sh # 数据卷迁移脚本
├── config/ # 服务配置文件
│ ├── mysql/
│ │ ├── Dockerfile # 参数化 MySQL 镜像
│ │ ├── my.cnf.dev # 开发环境配置
│ │ ├── my.cnf.16c32g # 16C/32G 配置
│ │ └── my.cnf.32c64g # 32C/64G 配置
│ └── redis/
│ ├── redis.dev.conf # 开发环境配置
│ ├── redis.16c32g.conf # 16C/32G 配置
│ └── redis.32c64g.conf # 32C/64G 配置
└── readme.md # 本文件
```
## 快速使用
```bash
cd docker/compose
# 自动检测环境并启动(默认:国内镜像 + 自动检测 CPU 规格)
./deploy.sh up -d
# 开发环境
ENV=dev ./deploy.sh up -d
# 海外镜像源
PROXY=overseas ./deploy.sh up -d
# 停止
./deploy.sh stop
# 删除容器
./deploy.sh down
# 重新创建某个容器
./deploy.sh up -d --build --force-recreate rabbitmq
```
## 环境变量
| 变量 | 默认值 | 说明 |
|------|--------|------|
| `ENV` | `prod` | `dev` 使用开发资源规格,`prod` 按 CPU 核数自动检测 |
| `PROXY` | `cn` | `cn` 使用国内镜像源,`overseas` 使用官方源 |
| `JVM_PROFILE` | (自动) | 可手动指定 `16c32g` 或 `32c64g` |
## 首次部署:数据卷迁移
如果之前使用旧版 docker-compose(自动命名卷),需要迁移数据到 external 卷:
```bash
cd docker/compose
bash migrate-mysql-volume.sh
# 或手动指定旧卷名
bash migrate-mysql-volume.sh docker_chengdu_mysql_data
```