docker 的部分软件安装

• 安装docker

• 安装MySQL
• 安装redis
• 安装zookeeper
• 安装kafka
• mongodb
• 进入容器

• frps(配置具有公网的服务器)
• frpc

• docker compose

• kafka

安装docker

docker官网有教程。再将源改成阿里的源(自行百度)

安装MySQL

先去docker hub中搜索自己需要的版本。
在执行如下命令

# xxx对应docker hub对应的版本，不加默认最新 sudo docker pull mysql:xxx

下载后我们可以通过如下命令查看我们下载的镜像

sudo docker pull images mkdir log conf data mysql-files

如果没有显示镜像信息，则下载失败。下载没成功的话可以自行百度原因。

我们可以安装MySQL：

docker run --restart=always -p 18801:3306 --name mysql8 \ -v /data/dockerData/mysql8/log:/var/log/mysql \ -v /data/dockerData/mysql8/data:/var/lib/mysql \ -v /data/dockerData/mysql8/conf/my.cnf:/etc/mysql/my.cnf \ -v /data/dockerData/mysql8/mysql-files:/var/lib/mysql-files \ -e MYSQL_ROOT_PASSWORD=root@root*** \ -d mysql docker run --restart=always -p 18800:3306 --name mysql \ -v /data/dockerData/mysql5.7/log:/var/log/mysql \ -v /data/dockerData/mysql5.7/data:/var/lib/mysql \ -v /data/dockerData/mysql5.7/conf/my.cnf:/etc/mysql/my.cnf \ -v /data/dockerData/mysql5.7/mysql-files:/var/lib/mysql-files \ -e MYSQL_ROOT_PASSWORD=root@root*** \ -d mysql:5.7

my.cnf可以简单写：

[client] default_character_set=utf8 [mysqld] collation_server = utf8_general_ci character_set_server = utf8 sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION' [mysql] default_character_set = utf8

• –restart=always 表示失败后自动重启。如果一直重启我们需要看看日志文件，查看哪里出错。
  可使用下面的命令：

sudo docker logs mysql;

• -p 表示将本机的3306端口映射到MySQL所在机器的3306端口
• –name 表示将其命名为mysql
• -v 表示将本地文件和docker内MySQL的内部文件相映射，本地文件夹和文件需要提前创建
• -e 是传递环境变量 ，这个是将MySQL的root用户的密码更改为xxx
• -d 表示我们使用那个镜像

运行完成会出现一串字符，我们可以使用下面命令查看是否运行成功。

sodo docker ps -a

查看所有运行的容器。

安装redis

类似于MySQL ，先拉取镜像。下面的安装命令。

docker run --restart=always -p 18802:6379 --name redis \ -v /data/dockerData/redis/conf/redis.conf:/etc/redis/redis.conf \ -d redis redis-server /etc/redis/redis.conf

redis.conf的原始配置

protected-mode no port 6379 tcp-backlog 511 timeout 0 tcp-keepalive 300 daemonize no supervised no pidfile /var/run/redis_6379.pid loglevel notice logfile "" databases 16 always-show-logo yes save 900 1 save 300 10 save 60 10000 stop-writes-on-bgsave-error yes rdbcompression yes rdbchecksum yes dbfilename dump.rdb dir ./ replica-serve-stale-data yes replica-read-only yes repl-diskless-sync no repl-diskless-sync-delay 5 repl-disable-tcp-nodelay no replica-priority 100 requirepass root@root*** appendonly no appendfilename "appendonly.aof" appendfsync everysec no-appendfsync-on-rewrite no auto-aof-rewrite-percentage 100 auto-aof-rewrite-min-size 64mb aof-load-truncated yes aof-use-rdb-preamble yes lua-time-limit 5000 slowlog-log-slower-than 10000 slowlog-max-len 128 latency-monitor-threshold 0 notify-keyspace-events Ex hash-max-ziplist-entries 512 hash-max-ziplist-value 64 list-max-ziplist-size -2 list-compress-depth 0 set-max-intset-entries 512 zset-max-ziplist-entries 128 zset-max-ziplist-value 64 hll-sparse-max-bytes 3000 stream-node-max-bytes 4096 stream-node-max-entries 100 activerehashing yes client-output-buffer-limit normal 0 0 0 client-output-buffer-limit replica 256mb 64mb 60 client-output-buffer-limit pubsub 32mb 8mb 60 hz 10 dynamic-hz yes aof-rewrite-incremental-fsync yes rdb-save-incremental-fsync yes

安装zookeeper

sudo docker run --restart=always -p 2181:2181 --name zookeeper \ -v /data/zookeeper/data:/data \ -v /data/zookeeper/conf:/conf \ -v /data/zookeeper/datalog:/datalog \ -v /etc/localtime:/etc/localtime \ -d zookeeper:latest

如果已经映射了文件了则zoo.cfg文件的编写应该按照相对路径：

clientPort=2181 dataDir=/data dataLogDir=/datalog tickTime=2000 initLimit=5 syncLimit=2 autopurge.snapRetainCount=3 autopurge.purgeInterval=0 maxClientCnxns=60 standaloneEnabled=true admin.enableServer=true quorumListenOnAllIPs=true server.1=1.117.89.91:2888:3888 server.2=121.4.104.4:2888:3888 server.3=120.48.110.64:2888:3888

安装kafka

sudo docker run -p 9092:9092 --name kafka \ -e KAFKA_BROKER_ID=1 \ -e KAFKA_ZOOKEEPER_CONNECT=192.168.1.113:2181/kafka \ -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.1.113:9092 \ -e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092 \ -v /etc/localtime:/etc/localtime \ -v /usr/docker/data/kafka:/kafka \ -d wurstmeister/kafka # 创建主题 bin/kafka-topics.sh --create --zookeeper 192.168.1.113:2181/kafka --replication-factor 1 --partitions 1 --topic test-topic # 消费 bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic test-topic --from-beginning # 生产 bin/ --broker-list localhost:9092 --topic test-topic

mongodb

docker pull mongo:4.2.6 docker run -d --name mongod -p 27017:27017 mongo:4.2.6 --auth

进入容器

# 进入MySQL的bash sudo docker exec -it mysql bash # 其他的也类似 sudo docker exec -it kafka /bin/bash

frps(配置具有公网的服务器)

创建 frps.toml

[common] # 监听端口 bind_port = 7000 # 面板端口 dashboard_port = 7500 # 登录面板账号设置 dashboard_user = admin dashboard_pwd = spoto1234 # 设置http及https协议下代理端口（非重要） vhost_http_port = 7080 vhost_https_port = 7081 # 身份验证 token = 12345678docker run --restart=always --network host -v /etc/frp/frps.toml:/etc/frp/frps.toml --name frps -d snowdreamtech/frps

frpc

[common] # server_addr为FRPS服务器IP地址 server_addr = x.x.x.x # server_port为服务端监听端口，bind_port server_port = 7000 # 身份验证 token = 12345678 [ssh] type = tcp local_ip = 127.0.0.1 local_port = 22 remote_port = 2288 # [ssh] 为服务名称，下方此处设置为，访问frp服务段的2288端口时，等同于通过中转服务器访问127.0.0.1的22端口。 # type 为连接的类型，此处为tcp # local_ip 为中转客户端实际访问的IP # local_port 为目标端口 # remote_port 为远程端口 [ssh] type = tcp local_ip = 192.168.1.229 local_port = 80 remote_port = 18022 [unRAID web] type = tcp local_ip = 192.168.1.229 local_port = 80 remote_port = 18088 [Truenas web] type = tcp local_ip = 192.168.1.235 local_port = 80 remote_port = 18188 [speedtest] type = tcp local_ip = 192.168.1.229 local_port = 6580 remote_port = 18190 [webdav] type = tcp local_ip = 192.168.1.235 local_port = 18080 remote_port = 18189 [RDP PC1] type = tcp local_ip = 192.168.1.235 local_port = 3389 remote_port = 18389docker run --restart=always --network host -v /etc/frp/frpc.toml:/etc/frp/frpc.toml --name frpc -d snowdreamtech/frpc

docker compose

kafka

services: zookeeper: image: zookeeper container_name: zookeeper ports: - 2181:2181 restart: always networks: - kafka environment: - TZ="Asia/Shanghai" volumes: - /data/dockerData/zookeeper/data:/data - /data/dockerData/zookeeper/conf:/conf - /etc/localtime:/etc/localtime kafka: image: wurstmeister/kafka container_name: kafka ports: - 9092:9092 networks: - kafka environment: - TZ="Asia/Shanghai" - KAFKA_BROKER_ID=1 - KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181/kafka - KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.56.109:9092 - KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092 volumes: - /etc/localtime:/etc/localtime - /data/dockerData/kafka:/kafka depends_on: - zookeeper kafka-ui: image: provectuslabs/kafka-ui container_name: kafka-ui ports: - 8081:8080 depends_on: - kafka environment: - KAFKA_CLUSTERS_0_NAME=local - KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS=kafka:9092 networks: kafka: