M1 mbp docker部署spring boot

首先看一下我的文件目录

konsy@Konsy-MBP kafka-base-producer % tree
.
├── Dockerfile
├── kafka-base-producer.iml
├── pom.xml
├── src
│   ├── main
│   │   ├── java
│   │   │   └── kafka
│   │   │       ├── KafkaProducerApplication.java
│   │   │       ├── config
│   │   │       │   └── KafkaConfig.java
│   │   │       └── producer
│   │   │           ├── controller
│   │   │           │   └── KafkaProducerController.java
│   │   │           └── services
│   │   │               └── KafkaProducerSender.java
│   │   └── resources
│   │       ├── application-docker.yml
│   │       ├── application-local.yml
│   │       └── application.yml
│   └── test
│       └── java
└── target
    ├── classes
    │   ├── application-docker.yml
    │   ├── application-local.yml
    │   ├── application.yml
    │   └── kafka
    │       ├── KafkaProducerApplication.class
    │       ├── config
    │       │   └── KafkaConfig.class
    │       └── producer
    │           ├── controller
    │           │   └── KafkaProducerController.class
    │           └── services
    │               └── KafkaProducerSender.class
    ├── generated-sources
    │   └── annotations
    ├── generated-test-sources
    │   └── test-annotations
    ├── kafka-base-producer-1.0-SNAPSHOT.jar
    ├── kafka-base-producer-1.0-SNAPSHOT.jar.original
    ├── maven-archiver
    │   └── pom.properties
    ├── maven-status
    │   └── maven-compiler-plugin
    │       ├── compile
    │       │   └── default-compile
    │       │       ├── createdFiles.lst
    │       │       └── inputFiles.lst
    │       └── testCompile
    │           └── default-testCompile
    │               ├── createdFiles.lst
    │               └── inputFiles.lst
    └── test-classes

30 directories, 24 files

1. maven 打包
   pom.xml文件增加

<build>
        <plugins>
            <plugin>
                <groupId>org.springframework.bootgroupId>
                <artifactId>spring-boot-maven-pluginartifactId>
            plugin>
        plugins>
    build>

执行 mvn install

2. 创建Dockerfile

# 基础镜像
FROM java:8
# 作者
MAINTAINER konsy
# 把可执行jar包复制到基础镜像的根目录下
ADD ./target/kafka-base-producer-1.0-SNAPSHOT.jar /kafka-base-producer-1.0-SNAPSHOT.jar
# 镜像要暴露的端口，如要使用端口，在执行docker run命令时使用-p生效
EXPOSE 9001
# 在镜像运行为容器后执行的命令
ENTRYPOINT ["java","-jar","/kafka-base-producer-1.0-SNAPSHOT.jar"]

3. 打包镜像

#由于我是M1 mbp，所以需要打包成arm64
docker buildx build --platform linux/arm64 -t kafka-base-producer:latest .

4. 编写docker compose文件，创建文件 kafka-base-producer.yml

version: '2'

services:
  kafka-base-producer:
    image: kafka-base-producer:latest
    restart: always
    hostname: kafka-base-producer
    container_name: kafka-base-producer
    ports:
      - 9001:9001
    networks:
      docker-net:
        ipv4_address: 172.20.10.51 #由于我设置了docker的sub-net为172.20.10.0/16，上一篇文章中有提到，为了能访问部署在docker中的kafka
networks:
  docker-net:
    external:
      name: docker-net

5. 部署至docker
   docker compose -f ./kafka-base-producer.yml up -d