基于docker容器化部署微服务-编程知识

前言

在笔者系列文章中微服务配置隔离已经完成服务之间的配置隔离，服务整体来说是已经通了。
为了方便后续测试已经环境统一，笔者本章节会对服务进行容器化部署。由于服务器性能问题，本次部署采用maven完成镜像构建，结合docker-compose完成容器的创建。

容器化创建步骤

服务器放开2376 端口

我们后续的镜像创建需要基于2376端口，所以我们需要执行下面这段命令，对docker.service进行编辑

vim /lib/systemd/system/docker.service

可以看到笔者在截图位置处增加了一行-H tcp://0.0.0.0:2376 -H unix:///var/run/docker.sock

在这里插入图片描述

完成后重启docker服务并开放2376端口(因为笔者服务器是阿里云服务器所以这一步相对方便一些，就不多做介绍了)

systemctl daemon-reload
systemctl restart docker.service

为了测试连通性，我们在本地键入

 curl http://ip:2376/info

若输出下面这样一段文字，则说明当前设置生效了


{"ID":"IIPN:J265:YCRR:EQVR:FTPY:GBUK:VWES:MWJU:6TBH:NSFP:L7BU:K3RJ","Containers":6,"ContainersRunning":6,"ContainersPaused":0,"ContainersStopped":0,"Images":56,"Driver":"overlay2","DriverStatus":[["Backing Filesystem","extfs"],["Supports d_
type","true"],["Native Overlay Diff","false"],["userxattr","false"]],"Plugins":{"Volume":["local"],"Network":["bridge","host","ipvlan","macvlan","null","overlay"],"Authorization":null,"Log":["awslogs","fluentd","gcplogs","gelf","journald","
json-file","local","logentries","splunk","syslog"]},"MemoryLimit":true,"SwapLimit":true,"KernelMemory":true,"KernelMemoryTCP":true,"CpuCfsPeriod":true,"CpuCfsQuota":true,"CPUShares":true,"CPUSet":true,"PidsLimit":true,"IPv4Forwarding":true,
"BridgeNfIptables":true,"BridgeNfIp6tables":true,"Debug":false,"NFd":74,"OomKillDisable":true,"NGoroutines":72,"SystemTime":"2023-02-05T17:56:16.36473356+08:00","LoggingDriver":"json-file","CgroupDriver":"cgroupfs","CgroupVersion":"1","NEve
ntsListener":0,"KernelVersion":"4.19.91-24.1.al7.x86_64","OperatingSystem":"Alibaba Cloud Linux (Aliyun Linux) 2.1903 LTS (Hunting Beagle)","OSVersion":"2.1903","OSType":"linux","Architecture":"x86_64","IndexServerAddress":"https://index.do
cker.io/v1/","RegistryConfig":{"AllowNondistributableArtifactsCIDRs":[],"AllowNondistributableArtifactsHostnames":[],"InsecureRegistryCIDRs":["127.0.0.0/8"],"IndexConfigs":{"docker.io":{"Name":"docker.io","Mirrors":["https://fy707np5.mirror
.aliyuncs.com/"],"Secure":true,"Official":true}},"Mirrors":["https://fy707np5.mirror.aliyuncs.com/"]},"NCPU":1,"MemTotal":2043502592,"GenericResources":null,"DockerRootDir":"/var/lib/docker","HttpProxy":"","HttpsProxy":"","NoProxy":"","Name
":"iZ8vb7bhe4b8nhhhpavhwpZ","Labels":[],"ExperimentalBuild":false,"ServerVersion":"20.10.23","Runtimes":{"io.containerd.runc.v2":{"path":"runc"},"io.containerd.runtime.v1.linux":{"path":"runc"},"runc":{"path":"runc"}},"DefaultRuntime":"runc
","Swarm":{"NodeID":"","NodeAddr":"","LocalNodeState":"inactive","ControlAvailable":false,"Error":"","RemoteManagers":null},"LiveRestoreEnabled":false,"Isolation":"","InitBinary":"docker-init","ContainerdCommit":{"ID":"5b842e528e99d4d4c1686
467debf2bd4b88ecd86","Expected":"5b842e528e99d4d4c1686467debf2bd4b88ecd86"},"RuncCommit":{"ID":"v1.1.4-0-g5fd4c4d","Expected":"v1.1.4-0-g5fd4c4d"},"InitCommit":{"ID":"de40ad0","Expected":"de40ad0"},"SecurityOptions":["name=seccomp,profile=d
efault"],"Warnings":["WARNING: API is accessible on http://0.0.0.0:2376 without encryption.\n         Access to the remote API is equivalent to root access on the host. Refer\n         to the 'Docker daemon attack surface' section in the do
cumentation for\n         more information: https://docs.docker.com/go/attack-surface/"]}

引入插件

接下来我们就可以对自己的服务进行配置，就以笔者的cloud-gateway为例，模块截图如下所示:

在这里插入图片描述

从而完成基于maven打包生成镜像并上传到服务器了,首先在maven插件中引入下面这段依赖,读者只需按需修改下面的dockerHost即可,别的配置若无非必须则可以不动。

<plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId><executions><execution><goals><goal>repackage</goal></goals></execution></executions></plugin><plugin><groupId>com.spotify</groupId><artifactId>docker-maven-plugin</artifactId><version>1.2.2</version><configuration><imageName>${project.artifactId}</imageName><imageTags><imageTag>latest</imageTag></imageTags><!--指定Dockerfile路径--><dockerDirectory>${project.basedir}/src/main/docker</dockerDirectory><dockerHost>http://ip:2376</dockerHost><resources><resource><targetPath>/</targetPath><!--${project.basedir}/target--><directory>${project.build.directory}</directory><!--${project.artifactId}-${project.version}--><include>${project.build.finalName}.jar</include></resource></resources></configuration></plugin>

编写Dockerfile

我们上面的配置指明Dockerfile的路径为${project.basedir}/src/main/docker,所以我们要在main目录下创建一个docker文件夹。
在该文件夹下创建Dockerfile文件，以笔者为例笔者的cloud-gateway打包命令，就如下图所示(注意ENTRYPOINT 指定jvm参数笔者采用exec格式的，原本采用数组格式的会报错，笔者也没有去纠结原因)：

FROM openjdk:8-jdk-alpine
VOLUME /tmp
ADD cloud-gateway-0.0.1-SNAPSHOT.jar app.jar
RUN sh -c 'touch /app.jar'
# 调整JVM参数堆区空间大小，节省服务内存空间。
ENTRYPOINT exec java -Xmx32m -Xms32m  -Djava.security.egd=file:/dev/./urandom  -jar /app.jar

基于maven远程完成maven镜像的构建

完成后我们就可以到当前模块的pom文件的目录使用cmd键入下面这条命令，完成镜像构建

mvn clean package docker:build -DskipTests

如下图所示，一旦出现BUILD SUCCESS就说明镜像构建成功了

在这里插入图片描述

注意笔者在打包过程中遇到了一个报错:Execution repackage of goal org.springframework.boot:spring-boot-maven-plugin。查阅网上资料得知，不是spring boot引用不可添加下面这个插件，去掉后即可解决。

<plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId></plugin>

查看镜像是否成功到达服务器

我们到服务器键入

docker images

可以看到若出现我们打包的镜像名称说明打包成功了。同理我们完成其他服务器的插件引入和dockerfile编写。

启动测试

笔者为了启动方便这里也编写了一个docker-compose文件，文件名为cloud-service.yml内容如下:

version: "3"
services:cloud-gateway:container_name: cloud-gatewayimage: cloud-gateway:latestports:- "8090:8090"restart: alwaysaccount-service:container_name: account-serviceimage: account-service:latestports:- "9000:9000"restart: always

到文件cloud-service.yml下键入命令

docker-compose -f cloud-service.yml up -d

本地键入curl 命令,可以看到请求成功，说明本次服务器部署成功了。

curl ip:8090/account/getByCode/zsy
{"status":100,"message":"操作成功","data":{"id":1,"accountCode":"zsy","accountName":"zsy","amount":10000.00},"success":true,"timestamp":1675592778302}