Jib 使用小结 (Maven 插件版),java 高级知识点真多
</configuration>
</plugin>
修改保存后再次构建,此时新的镜像的创建时间已经正确,显示 15 seconds ago:
[root@maven hellojib]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
bolingcavalry/hellojib 0.0.1-SNAPSHOT ee5ba19a8016 23 seconds ago 505 MB
<none> <none> ef96fdd4473a 49 years ago 505 MB
[](
)小结三:多次构建后,积累的无用镜像
如下所示,构建多次后,本地会遗留多个名为<none>,tag 也是<none>的镜像:
[root@maven hellojib]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
bolingcavalry/hellojib 0.0.1-SNAPSHOT a9fd91d8ad8c 17 seconds ago 505 MB
<none> <none> a0cadeb9febd About a minute ago 505 MB
<none> <none> ee5ba19a8016 2 minutes ago 505 MB
<none> <none> ef96fdd4473a 49 years ago 505 MB
这些都是上一次构建的结果,在经历了新一轮的构建后,其镜像名和 tag 被新镜像所有,所以自身只能显示名为<none>,tag 也是<none>,清理这些镜像的命令是 docker image prune,然后根据提示输入"y",镜像即可被清理:
[root@maven hellojib]# docker image prune
WARNING! This will remove all dangling images.
Are you sure you want to continue? [y/N] y
Deleted Images:
deleted: sha256:7aa104e20b8a08bac3255f2627ac90f10021c6630370ce7a84ba33f89404b153
deleted: sha256:7dd7376ae00c2df0411bac1eded4b3c79dd1528f5711057fe11a4f4121504486
deleted: sha256:e71ced47e80a7fccfea1710f1e5a257d4e16fc3e96b05616007e15829e71a7b2
deleted: sha256:55bed58453479c2accfc08fabc929aece7d324af0df94335dd46333db9da1d23
deleted: sha256:
ef96fdd4473a7ca9d39a50e0feae50131de083cee4f11060ad8bee1bc853b2b5
Total reclaimed space: 0 B
[root@maven hellojib]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
bolingcavalry/hellojib 0.0.1-SNAPSHOT 3afd4165b6b6 About a minute ago 505 MB
[](
)小结四:提升构建速度
在使用命令 mvn compile jib:dockerBuild 构建本地镜像时,每次构建的过程中都会提示以下信息:
[INFO] Containerizing application to Docker daemon as bolingcavalry/hellojib:0.0.1-SNAPSHOT...
[INFO] The base image requires auth. Trying again for openjdk:8-jdk-stretch...
[INFO] Executing tasks:
[INFO] [========= ] 30.0% complete
[INFO] > pulling base image manifest
每次构建都会显示上面的内容,也就是说每次都去远程拉取 base 镜像的 manifest(pulling base image manifest),这部分时间导致整体构架时间变长,以下是构建结果,可见用了 10 秒:
[INFO] Built image to Docker daemon as bolingcavalry/hellojib:0.0.1-SNAPSHOT
[INFO] Executing tasks:
[INFO] [==============================] 100.0% complete
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 10.722 s
[INFO] Finished at: 2019-09-01T08:55:09+08:00
[INFO] ------------------------------------------------------------------------
首先想到的是执行命令 docker pull openjdk:8-jdk-stretch 将 base 镜像下载到本地仓库,再尝试构建,遗憾的是 jib 依旧会远程获取 base 镜像的 manifest,还是很慢;
如果能避免远程拉取 base 镜像的 manifest,镜像构建速度应该会快一些;基于此推论,优化构建速度的步骤如下:
在本机创建 registry(docker 镜像仓库服务);
将 base 镜像 openjdk:8-jdk-stretch 放入本机 registry;
修改 pom.xml 中 base 镜像的配置,改为本机 registry 的镜像;
如此一来,每次都会从本机 registry 取得 base 镜像的 manifest,不走远程请求响应,构建时间会有提升;
接下按照上述步骤进行操作:
确认当前电脑的 IP 地址,我这里是 192.168.121.131;
设置本地 docker 服务支持 http:修改 docker 配置文件:/etc/docker/daemon.json,在 json 中增加内容"insecure-registries": [“192.168.121.131:5000”]
重启 docker 使配置生效:
systemctl restart docker
在本地创建一个镜像仓库服务:
docker run --name docker-registry -d -p 5000:5000 registry
查看本地镜像 openjdk:8-jdk-stretch 的 ID 为 08ded5f856cc;
用 tag 命令将本地镜像 openjdk:8-jdk-stretch 改名,命令如下所示,"192.168.121.131"是当前电脑的 IP 地址:
docker tag 08ded5f856cc 192.168.121.131:5000/openjdk:8-jdk-stretch
再次查看镜像,发现多了个 192.168.121.131:5000/openjdk:8u212-jdk-stretch:
[root@maven hellojib]# docker tag 08ded5f856cc 192.168.121.131:5000/openjdk:8-jdk-stretch
[root@maven hellojib]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
bolingcavalry/hellojib 0.0.1-SNAPSHOT 6601ef5a767d 3 minutes ago 505 MB
192.168.121.131:5000/openjdk 8-jdk-stretch 08ded5f856cc 2 weeks ago 488 MB
docker.io/openjdk 8-jdk-stretch 08ded5f856cc 2 weeks ago 488 MB
将 192.168.121.131:5000/openjdk:8-jdk-stretch 推送到远程仓库,命令如下所示,由于镜像名前缀是 192.168.121.131:5000,镜像会被推送到我们刚刚创建的 registry:
docker push 192.168.121.131:5000/openjdk:8-jdk-stretch
修改 java 工程的 pom.xml,将 base 镜像由之前的 openjdk:8-jdk-stretch 改为 192.168.121.131:5000/openjdk:8-jdk-stretch
修改 java 工程的 pom.xml,增加 allowInsecureRegistries,使 jib 插件支持 http 协议连接镜像仓库(安全起见,默认是关闭的),整个插件的配置信息如下:
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
<plugin>
<groupId>com.google.cloud.tools</groupId>
<artifactId>jib-maven-plugin</artifactId>
<version>1.3.0</version>
<configuration>
<from>
<image>192.168.121.131:5000/openjdk:8-jdk-stretch</image>
</from>
<to>
<image>bolingcavalry/hellojib:${project.version}</image>
</to>
<container>
<jvmFlags>
<jvmFlag>-Xms4g</jvmFlag>
<jvmFlag>-Xmx4g</jvmFlag>
</jvmFlags>
<ports>
<port>8080</port>
</ports>
<useCurrentTimestamp>true</useCurrentTimestamp>
</container>
<allowInsecureRegistries>true</allowInsecureRegistries>
</configuration>
</plugin>
</plugins>
再次执行命令 mvn compile jib:dockerBuild,如下所示,时间从之前的 10 秒缩减到 3.9 秒:
[INFO] Built image to Docker daemon as bolingcavalry/hellojib:0.0.1-SNAPSHOT
[INFO] Executing tasks:
[INFO] [==============================] 100.0% complete
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 3.949 s
[INFO] Finished at: 2019-09-01T10:51:50+08:00
[INFO] ------------------------------------------------------------------------
以上就是通过 registry 服务提升 jib 构建速度的方法,在多人开发的时候,registry 可以配置为一个公共的,多人都可使用,毕竟 pom.xml 代码存在公共代码仓库,每个人都去修改成自己的 registry 的地址是不合适的,一旦提交上去会影响其他人的使用,我们这里的做法是将 registry 的地址写成 host,本地维护好 host 和 IP 的映射就可以了。
使用本地 registry 服务,除了提速,在服务器无法连接中央仓库取得 openjdk:8-jdk-stretch 的 manifest 时,这种方式能保证构建依旧能够成功;
[](
)小结五:将 jib 与 mvn 构建的生命周期绑定
前面的实战中构建命令是 mvn compile jib:dockerBuild,实际上可以做到仅用 mvn compile 就完成镜像构建,这是 maven 插件的通用特性;
修改 pom.xml 增加 executions 节点,里面设置 compile 触发 jib:dockerBuild,整个插件的内容如下所示:
<plugin>
<groupId>com.google.cloud.tools</groupId>
<artifactId>jib-maven-plugin</artifactId>
<version>1.3.0</version>
<configuration>
<from>
<image>192.168.121.131:5000/openjdk:8-jdk-stretch</image>
</from>
<to>
<image>bolingcavalry/hellojib:${project.version}</image>
</to>
<container>
<jvmFlags>
<jvmFlag>-Xms4g</jvmFlag>
<jvmFlag>-Xmx4g</jvmFlag>
</jvmFlags>
<ports>
<port>8080</port>
</ports>
<useCurrentTimestamp>true</useCurrentTimestamp>
</container>
<allowInsecureRegistries>true</allowInsecureRegistries>
</configuration>
<executions>
<execution>
<phase>compile</phase>
<goals>
<goal>dockerBuild</goal>
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