k8s交付实战-流水线构建dubbo服务
1 jenkins流水线准备工作
1.1 参数构建要点
jenkins流水线配置的java项目的十个常用参数:
参数名 | 作用 | 举例或说明 |
---|---|---|
app_name | 项目名 | dubbo_demo_service |
image_name | docker镜像名 | app/dubbo-demo-service |
git_repo | 项目的git地址 | https://x.com/x/x.git |
git_ver | 项目的git分支或版本号 | master |
add_tag | 镜像标签,常用时间戳 | 191203_1830 |
mvn_dir | 执行mvn编译的目录 | ./ |
target_dir | 编译产生包的目录 | ./target |
mvn_cmd | 编译maven项目的命令 | mvc clean package -Dmaven. |
base_image | 项目的docker底包 | 不同的项目底包不一样,下拉选择 |
maven | maven软件版本 | 不同的项目可能maven环境不一样 |
除了base_image和maven是choice parameter,其他都是string parameter
1.2 创建流水线
1.2.1 创建流水线
创建名为dubbo-demo
的流水线(pipeline),并设置Discard old builds
为如下
Discard old builds选项 | 值 |
---|---|
Days to keep builds | 3 |
Max # of builds to keep | 30 |
1.2.2 添加10个构建参数
This project is parameterized
点击Add Parameter
,分别添加如下10个参数
#第1个参数
参数类型 : String Parameter
Name : app_name
Description : 项目名 eg:dubbo-demo-service
#第2个参数
参数类型 : String Parameter
Name : image_name
Description : docker镜像名 eg: app/dubbo-demo-service
#第3个参数
参数类型 : String Parameter
Name : git_repo
Description : 仓库地址 eg: https://gitee.com/xxx/xxx.git
#第4个参数
参数类型 : String Parameter
Name : git_ver
Description : 项目的git分支或版本号
#第5个参数
参数类型 : String Parameter
Name : add_tag
Description :
给docker镜像添加标签组合的一部分,如
$git_ver_$add_tag=master_191203_1830
#第6个参数
参数类型 : String Parameter
Name : mvn_dir
Default Value : ./
Description : 执行mvn编译的目录,默认是项目根目录, eg: ./
#第7个参数
参数类型 : String Parameter
Name : target_dir
Default Value : ./target
Description : 编译产生的war/jar包目录 eg: ./dubbo-server/target
#第8个参数
参数类型 : String Parameter
Name : mvn_cmd
Default Value : mvn clean package -Dmaven.test.skip=true
Description : 编译命令,常加上-e -q参数只输出错误
#第9个参数
参数类型 : Choice Parameter
Name : base_image
Choices :
base/jre7:7u80
base/jre8:8u112
Description : 项目的docker底包
#第10个参数
参数类型 : Choice Parameter
Name : maven
Choices :
3.6.1
3.2.5
2.2.1
Description : 执行编译使用maven软件版本
1.2.3 添加完成效果如下:
1.2.4 添加pipiline代码
流水线构建所用的pipiline代码语法比较有专门的生成工具
以下语句的作用大致是分为四步:拉代码->构建包->移动包-打docker镜像并推送
pipeline {
agent any
stages {
stage('pull') { //get project code from repo
steps {
sh "git clone ${params.git_repo} ${params.app_name}/${env.BUILD_NUMBER} && cd ${params.app_name}/${env.BUILD_NUMBER} && git checkout ${params.git_ver}"
}
}
stage('build') { //exec mvn cmd
steps {
sh "cd ${params.app_name}/${env.BUILD_NUMBER} && /var/jenkins_home/maven-${params.maven}/bin/${params.mvn_cmd}"
}
}
stage('package') { //move jar file into project_dir
steps {
sh "cd ${params.app_name}/${env.BUILD_NUMBER} && cd ${params.target_dir} && mkdir project_dir && mv *.jar ./project_dir"
}
}
stage('image') { //build image and push to registry
steps {
writeFile file: "${params.app_name}/${env.BUILD_NUMBER}/Dockerfile", text: """FROM harbor.zq.com/${params.base_image}
ADD ${params.target_dir}/project_dir /opt/project_dir"""
sh "cd ${params.app_name}/${env.BUILD_NUMBER} && docker build -t harbor.zq.com/${params.image_name}:${params.git_ver}_${params.add_tag} . && docker push harbor.zq.com/${params.image_name}:${params.git_ver}_${params.add_tag}"
}
}
}
}
1.3 用流水线完成dubbo-service的构建
记得先在harbor中创建私有仓库app
1.3.1 选择参数化构建
进入dubbo-demo
后,选择的参数化构建build with parameters
,填写10个构建的参数
参数名 | 参数值 |
---|---|
app_name | dubbo-demo-service |
image_name | app/dubbo-demo-service |
git_repo | https://gitee.com/noah-luo/dubbo-demo-service.git |
git_ver | master |
add_tag | 200509_0800 |
mvn_dir | ./ |
target_dir | ./dubbo-server/target |
mvn_cmd | mvn clean package -Dmaven.test.skip=true |
base_image | base/jre8:8u112 |
maven | 3.6.1 |
1.3.2 填写完成效果如下
1.3.3 执行构建并检查
填写完以后执行bulid
第一次构建需要下载很多依赖包,时间很长,抽根烟,喝杯茶
经过漫长的等待后,已经构建完成了
点击打开 Blue Ocean
查看构建历史及过程:
检查harbor是否已经有这版镜像:
2 交付dubbo-service到k8s
2.1 准备资源清单
创建清单操作都在7.200
上操作
mkdir /data/k8s-yaml/dubbo-server/
cd /data/k8s-yaml/dubbo-server
2.1.1 创建depeloy清单
cat >dp.yaml <<EOF
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-service
namespace: app
labels:
name: dubbo-demo-service
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-service
template:
metadata:
labels:
app: dubbo-demo-service
name: dubbo-demo-service
spec:
containers:
- name: dubbo-demo-service
image: harbor.zq.com/app/dubbo-demo-service:master_200509_0800
ports:
- containerPort: 20880
protocol: TCP
env:
- name: JAR_BALL
value: dubbo-server.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600
EOF
需要根据自己构建镜像的tag来修改image
dubbo的server服务,只向zk注册并通过zk与dobbo的web交互,不需要对外提供服务
因此不需要service资源和ingress资源
2.2 创建k8s资源
创建K8S资源的操作,在任意node节点上操作即可
2.2.1 创建app名称空间
业务资源和运维资源等应该通过名称空间来隔离,因此创建专有名称空间app
kubectl create namespace app
2.2.2 创建secret资源
我们的业务镜像是harbor中的私有项目,所以需要创建docker-registry
的secret资源:
kubectl -n app
create secret docker-registry harbor
--docker-server=harbor.zq.com
--docker-username=admin
--docker-password=Harbor12345
2.2.3 应用资源清单
kubectl apply -f http://k8s-yaml.zq.com/dubbo-server/dp.yaml
3分钟后检查启动情况
# 检查pod是否创建:
~]# kubectl -n app get pod
NAME READY STATUS RESTARTS AGE
dubbo-demo-service-79574b6879-cxkls 1/1 Running 0 24s
# 检查是否启动成功:
~]# kubectl -n app logs dubbo-demo-service-79574b6879-cxkls --tail=2
Dubbo server started
Dubbo 服务端已经启动
到zk服务器检查是否有服务注册
sh /opt/zookeeper/bin/zkCli.sh
[zk: localhost:2181(CONNECTED) 0] ls /
[dubbo, zookeeper]
[zk: localhost:2181(CONNECTED) 1] ls /dubbo
[com.od.dubbotest.api.HelloService]
3 交付dubbo-monitor监控服务到k8s
dobbo-monitor源码地址: https://github.com/Jeromefromcn/dubbo-monitor.git
dubbo-monitor是监控zookeeper状态的一个服务,另外还有dubbo-admin,效果一样
3.1 制作dobbo-monitor镜像
制作镜像在管理机7.200
上操作
3.1.1 下载源码
cd /opt/src
wget https://github.com/Jeromefromcn/dubbo-monitor/archive/master.zip
yum -y install unzip
unzip master.zip
mv dubbo-monitor-mster /data/dockerfile/dubbo-monitor
cd /data/dockerfile/dubbo-monitor
3.1.2 修改配置文件:
直接覆盖它原始的配置
其实它原本就没什么内容,只是修改了addr,端口,目录等
cat >dubbo-monitor-simple/conf/dubbo_origin.properties <<'EOF'
dubbo.container=log4j,spring,registry,jetty
dubbo.application.name=simple-monitor
dubbo.application.owner=
dubbo.registry.address=zookeeper://zk1.zq.com:2181?backup=zk2.zq.com:2181,zk3.zq.com:2181
dubbo.protocol.port=20880
dubbo.jetty.port=8080
dubbo.jetty.directory=/dubbo-monitor-simple/monitor
dubbo.statistics.directory=/dubbo-monitor-simple/statistics
dubbo.charts.directory=/dubbo-monitor-simple/charts
dubbo.log4j.file=logs/dubbo-monitor.log
dubbo.log4j.level=WARN
EOF
3.1.3 优化Dockerfile启动脚本
# 修改jvm资源限制(非必须)
sed -i '/Xmx2g/ s#128m#16m#g' ./dubbo-monitor-simple/bin/start.sh
sed -i '/Xmx2g/ s#256m#32m#g' ./dubbo-monitor-simple/bin/start.sh
sed -i '/Xmx2g/ s#2g#128m#g' ./dubbo-monitor-simple/bin/start.sh
# 修改nohup为exec不能改去掉改行最后的&符号
sed -ri 's#^nohup(.*) &#exec1#g' ./dubbo-monitor-simple/bin/start.sh
# 删除exec命令行后面所有行
sed -i '66,$d' ./dubbo-monitor-simple/bin/start.sh
3.1.4 构建并上传
docker build . -t harbor.zq.com/infra/dubbo-monitor:latest
docker push harbor.zq.com/infra/dubbo-monitor:latest
3.2 创建资源配置清单
3.2.1 准备目录
mkdir /data/k8s-yaml/dubbo-monitor
cd /data/k8s-yaml/dubbo-monitor
3.2.2 创建deploy资源文件
cat >dp.yaml <<EOF
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-monitor
namespace: infra
labels:
name: dubbo-monitor
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-monitor
template:
metadata:
labels:
app: dubbo-monitor
name: dubbo-monitor
spec:
containers:
- name: dubbo-monitor
image: harbor.zq.com/infra/dubbo-monitor:latest
ports:
- containerPort: 8080
protocol: TCP
- containerPort: 20880
protocol: TCP
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600
EOF
3.2.3 创建service资源文件
cat >svc.yaml <<EOF
kind: Service
apiVersion: v1
metadata:
name: dubbo-monitor
namespace: infra
spec:
ports:
- protocol: TCP
port: 8080
targetPort: 8080
selector:
app: dubbo-monitor
EOF
3.2.4 创建ingress资源文件
cat >ingress.yaml <<EOF
kind: Ingress
apiVersion: extensions/v1beta1
metadata:
name: dubbo-monitor
namespace: infra
spec:
rules:
- host: dubbo-monitor.zq.com
http:
paths:
- path: /
backend:
serviceName: dubbo-monitor
servicePort: 8080
EOF
3.3 创建dobbo-miniotr服务
3.3.1 应用资源配置清单
在任意node节点
kubectl apply -f http://k8s-yaml.zq.com/dubbo-monitor/dp.yaml
kubectl apply -f http://k8s-yaml.zq.com/dubbo-monitor/svc.yaml
kubectl apply -f http://k8s-yaml.zq.com/dubbo-monitor/ingress.yaml
验证:
~]# kubectl -n infra get pod
NAME READY STATUS RESTARTS AGE
dubbo-monitor-d9675688c-sctsx 1/1 Running 0 29s
jenkins-7cd8b95d79-6vrbn 1/1 Running 0 3d2h
3.3.2 添加dns解析
这个服务是有web页面的,创建了ingress和service资源的,所以需要添加dns解析
vi /var/named/zq.com.zone
dobbo-monitor A 10.4.7.10
重启并验证
systemctl restart named
dig -t A dubbo-monitor.zq.com @10.4.7.11 +short
3.3.3 访问monitor的web页面
访问dubbo-monitor.zq.com
这里已经可以看到我们之前部署的dubbo-demo-service服务了,启动了两个进程来提供服务。
至此,dubbo-monitor监控服务已经部署完成。
4 构建dubbo-consumer服务
4.1 构建docker镜像
4.1.1 获取私有仓库代码
之前创建的dubbo-service是微服务的提供者,现在创建一个微服务的消费者
使用git@gitee.com:noah-luo/dubbo-demo-web.git
这个私有仓库中的代码构建消费者
先从https://gitee.com/sunx66/dubbo-demo-service
这里fork到自己仓库,在设为私有
并修改zk的配置
4.1.2 配置流水线
之前已经在jenkins配置好了流水线,只需要填写参数就行了。
参数名 | 参数值 |
---|---|
app_name | dubbo-demo-consumer |
image_name | app/dubbo-demo-consumer |
git_repo | git@gitee.com:noah-luo/dubbo-demo-web.git |
git_ver | master |
add_tag | 200506_1430 |
mvn_dir | ./ |
target_dir | ./dubbo-client/target |
mvn_cmd | mvn clean package -Dmaven.test.skip=true |
base_image | base/jre8:8u112 |
maven | 3.6.1 |
4.1.3 查看构建结果
如果构建不报错,则应该已经推送到harbor仓库中了,这时我们直接再给镜像一个新tag,以便后续模拟更新
docker tag
harbor.zq.com/app/dubbo-demo-consumer:master_200506_1430
harbor.zq.com/app/dubbo-demo-consumer:master_200510_1430
docker push harbor.zq.com/app/dubbo-demo-consumer:master_200510_1430
查看harbor仓库
4.2 准备资源配置清单:
先准备目录
mkdir /data/k8s-yaml/dubbo-consumer
cd /data/k8s-yaml/dubbo-consumer
4.2.1 创建deploy资源清单
cat >dp.yaml <<EOF
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-consumer
namespace: app
labels:
name: dubbo-demo-consumer
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-consumer
template:
metadata:
labels:
app: dubbo-demo-consumer
name: dubbo-demo-consumer
spec:
containers:
- name: dubbo-demo-consumer
image: harbor.zq.com/app/dubbo-demo-consumer:master_200506_1430
ports:
- containerPort: 8080
protocol: TCP
- containerPort: 20880
protocol: TCP
env:
- name: JAR_BALL
value: dubbo-client.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600
EOF
注意修改镜像的tag
4.2.2 创建service资源清单
cat >svc.yaml <<EOF
kind: Service
apiVersion: v1
metadata:
name: dubbo-demo-consumer
namespace: app
spec:
ports:
- protocol: TCP
port: 8080
targetPort: 8080
selector:
app: dubbo-demo-consumer
EOF
4.2.3 创建ingress资源清单
cat >ingress.yaml <<EOF
kind: Ingress
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-consumer
namespace: app
spec:
rules:
- host: dubbo-demo.zq.com
http:
paths:
- path: /
backend:
serviceName: dubbo-demo-consumer
servicePort: 8080
EOF
4.3 创建K8S资源
4.3.1 应用资源配置清单:
kubectl apply -f http://k8s-yaml.zq.com/dubbo-consumer/dp.yaml
kubectl apply -f http://k8s-yaml.zq.com/dubbo-consumer/svc.yaml
kubectl apply -f http://k8s-yaml.zq.com/dubbo-consumer/ingress.yaml
# 查看容器启动成功没
~]# kubectl get pod -n app
NAME READY STATUS RESTARTS AGE
dubbo-demo-consumer-b8d86bd5b-wbqhs 1/1 Running 0 6s
dubbo-demo-service-79574b6879-cxkls 1/1 Running 0 4h39m
4.3.2 验证启动结果
查看log,是否启动成功:
~]# kubectl -n app logs --tail=2 dubbo-demo-consumer-b8d86bd5b-wbqhs
Dubbo client started
Dubbo 消费者端启动
检查dubbo-monitor是否已经注册成功:
4.3.3 添加dns解析
vi /var/named/zq.com.zone
dubbo-demo A 10.4.7.10
# 重启服务
systemctl restart named
# 验证
~]# dig -t A dubbo-demo.zq.com @10.4.7.11 +short
10.4.7.10
浏览器访问http://dubbo-demo.zq.com/hello?name=lg
4.4 模拟版本升级
接下来我们模拟升级发版,之前已经用同一个镜像打了不同的tag并推送到从库
当然正常发版的顺序是:
- 提交修改过的代码的代码块
- 使用jenkins构建新镜像
- 上传到私有harbor仓库中
- 更新de文件并apply
4.4.1 修改dp.yaml资源配置清单
修改harbor镜像仓库中对应的tag版本:
sed -i 's#master_200506_1430#master_200510_1430#g' dp.yaml
4.4.2 应用修改后的资源配置清单
当然也可以在dashboard中进行在线修改:
kubectl apply -f http://k8s-yaml.zq.com/dubbo-consumer/dp.yaml
~]# kubectl -n app get pod
NAME READY STATUS RESTARTS AGE
dubbo-demo-consumer-84f75b679c-kdwd7 1/1 Running 0 54s
dubbo-demo-service-79574b6879-cxkls 1/1 Running 0 4h58m
4.4.3 使用浏览器验证
使用浏览器验证:http://dubbo-demo.zq.com/hello?name=lg
在短暂的超时后,即可正常访问
至此,我们一套完成的dubbo服务就已经交付到k8s集群当中了,并且也演示了如何发版。