您好!
在本文中,我想分享使用 Jenkins 作为自动化在 OpenShift 中运行 JMeter 性能测试的方法之一。 首先,我们将执行所有必要的步骤(创建 ImageStreams
, BuildConfig
, Job
等)在手动模式下。 之后,我们来编写Jenkins Pipeline。
作为一个起点,我们应该:
- 运行 OpenShift (v3.11) 集群
- 已配置凭据以在 OpenShift 中工作的 Jenkins 服务器
- 文件
apache-jmeter-5.2.tgz
作为测试,它会很简单 HTTP Request
上 ya.ru
在一股流中。
在 OpenShift 中创建项目
让我们从创建一个新环境开始。 让我们来创建 perftest
被一个团队包围:
$ oc new-project perftest --display-name="Performance Tests" --description="Performance Tests - JMeter"
我们会自动转移到新创建的环境中 perftest
,让我们检查一下是否是这样:
$ oc project
Using project "perftest" on server "https://127.0.0.1:8443".
创建存储
测试报告将与网络服务器共同存储 jmeter-meter
'一个地方 - /jmeter/reports
.
最好现在创建 Storajs,因为 POD 将与其绑定 jmeter-web
и jmeter-master
.
您可以在官方文档中找到有关存储的更多详细信息
让我们创建 yaml 文件 PV
и PVC
.
pv.yaml
$ tee pv.yaml<<EOF
apiVersion: v1
kind: PersistentVolume
metadata:
name: jmeter-reports
spec:
capacity:
storage: 10Gi
accessModes:
- ReadWriteMany
glusterfs:
endpoints: glusterfs-cluster
path: /jmeter/reports
readOnly: false
persistentVolumeReclaimPolicy: Retain
EOF
PVC.yaml
$ tee pvc.yaml<<EOF
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: jmeter-reports
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 10Gi
EOF
让我们创造 PV
и PVC
被 OpenShift 包围:
$ oc create -f pv.yaml -n perftest
$ oc create -f pvc.yaml -n perftest
检查状态 PVC
:
$ oc get pvc -n perftest
NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE
jmeter-reports Bound pvc-b0e5f152-db4b-11ea-a497-566f75280024 10Gi RWX glusterfs-storage 8m
GUI 中的外观如下:
创建 JMeter 基础镜像
让我们继续创建 ImageStream
и BuildConfig
.
您可以在文档中找到所有必要的信息 -
图像构建策略是 Docker
来自当地来源。
让我们创建一个基础镜像 jmeter-base
,这将是基础 jmeter-master
.
Dockerfile
FROM openjdk:8u212-jdk
ARG JMETER_VER="5.2"
ENV JMETER_HOME /jmeter/apache-jmeter-$JMETER_VER
ENV PATH $JMETER_HOME/bin:$PATH
RUN mkdir -p /jmeter/results
&& mkdir /jmeter/tests
WORKDIR /jmeter
COPY apache-jmeter-$JMETER_VER.tgz .
RUN tar -xzf $JMETER_HOME.tgz
&& rm $JMETER_HOME.tgz
&& ls -la
RUN sed -i s/#server.rmi.ssl.disable=false/server.rmi.ssl.disable=true/ $JMETER_HOME/bin/jmeter.properties
EXPOSE 60000
is.yaml
$ tee is.yaml<<EOF
apiVersion: v1
kind: ImageStream
metadata:
labels:
build: jmeter-base
name: jmeter-base
EOF
bc.yaml
$ tee bc.yaml<<EOF
apiVersion: v1
kind: BuildConfig
metadata:
name: jmeter-base
spec:
failedBuildsHistoryLimit: 5
nodeSelector: null
output:
to:
kind: ImageStreamTag
name: 'jmeter-base:latest'
postCommit: {}
resources: {}
runPolicy: Serial
source:
binary: {}
type: Binary
strategy:
dockerStrategy:
from:
kind: ImageStreamTag
name: 'openjdk:8u212-jdk'
type: Docker
successfulBuildsHistoryLimit: 5
EOF
让我们创建对象 IS
и BC
:
$ oc create -f is.yaml -n perftest
$ oc create -f bc.yaml -n perftest
现在让我们组装基础镜像 jmeter-base
:
$ oc start-build jmeter-base -n perftest --from-dir=. --follow
JMeter 网页版
jmeter-web
这是一个 Apache Web 服务器。 它的任务是提供一个包含测试结果的目录以供查看。
准备好了 Dockerfile
和配置文件 httpd.conf
。 对于指令 DocumentRoot
值集 /jmeter/reports
, IE。 保存测试结果的目录。
Dockerfile
$ tee Dockerfile<<EOF
FROM httpd:2.4
COPY httpd.conf /usr/local/apache2/conf/httpd.conf
RUN chmod -R 777 /usr/local/apache2/logs
EXPOSE 8080
CMD ["httpd", "-D", "FOREGROUND"]
EOF
is.yaml
$ tee is.yaml<<EOF
apiVersion: v1
kind: ImageStream
metadata:
generation: 1
labels:
build: jmeter-web
name: jmeter-web
EOF
bc.yaml
$ tee bc.yaml<<EOF
apiVersion: v1
kind: BuildConfig
metadata:
name: jmeter-web
spec:
failedBuildsHistoryLimit: 5
nodeSelector: null
output:
to:
kind: ImageStreamTag
name: 'jmeter-web:latest'
runPolicy: Serial
source:
binary: {}
type: Binary
strategy:
dockerStrategy:
from:
kind: ImageStreamTag
name: 'httpd:2.4'
type: Docker
successfulBuildsHistoryLimit: 5
EOF
让我们创造 ImageStream
и BuildConfig
对象:
$ oc create -f is.yaml -n perftest
$ oc create -f bc.yaml -n perftest
收集图像 Dockerfile
:
$ oc start-build jmeter-web -n perftest --from-dir=. --follow
dc.yaml
$ tee dc.yaml<<EOF
apiVersion: apps.openshift.io/v1
kind: DeploymentConfig
metadata:
name: jmeter-web
spec:
replicas: 1
template:
metadata:
labels:
name: jmeter-web
spec:
containers:
- image: 172.30.1.1:5000/perftest/jmeter-web
name: jmeter-web
volumeMounts:
- mountPath: /jmeter/reports
name: jmeter-reports
ports:
- containerPort: 80
protocol: TCP
- containerPort: 8080
protocol: TCP
volumes:
- name: jmeter-reports
persistentVolumeClaim:
claimName: jmeter-reports
EOF
sc.yaml
$ tee sc.yaml<<EOF
apiVersion: v1
kind: Service
metadata:
labels:
app: jmeter-web
name: jmeter-web
spec:
ports:
- name: 8080-tcp
port: 8080
protocol: TCP
targetPort: 8080
selector:
deploymentconfig: jmeter-web
sessionAffinity: None
type: ClusterIP
EOF
让我们创建对象 Service
и DeploymentConfig
:
$ oc create -f sc.yaml -n perftest
$ oc create -f dc.yaml -n perftest
Jmeter大师
让我们开始部署 Apache Web 服务器。
这是 Dockerfile jmeter-master
'a,基于 jmeter-base
,它将运行测试并将结果保存到存储中。
Dockerfile
Dockerfile
为 jmeter-master
, 基于 jmeter-base
.
FROM jmeter-base
ARG JMETER_VER="5.2"
ENV JMETER_HOME /jmeter/apache-jmeter-$JMETER_VER
ENV PATH $JMETER_HOME/bin:$PATH
WORKDIR /jmeter
COPY run.sh /jmeter/
COPY tests/*.jmx /jmeter/tests/
RUN chmod +x /jmeter/run.sh
ENTRYPOINT ["/bin/bash"]
CMD ["/jmeter/run.sh"]
运行
run.sh
这是一个运行 JMeter 并将结果保存到目录的脚本 files
.
每次启动脚本时,它都会删除以前的测试,因此您只能使用最新的数据。 但这不是问题,因为您可以更改它以满足您的需要。
#!/bin/bash
set -e
if [ -d "/jmeter/reports/files" ]
then
echo "Directory /jmeter/reports/files exist - OK"
else
echo "Creating /jmeter/reports/files directory"
mkdir /jmeter/reports/files
fi
if [ -d "/jmeter/reports/dashboards" ]
then
echo "Directory /jmeter/reports/dashboards exist"
else
echo "Creating /jmeter/reports/dashboards directory"
mkdir /jmeter/reports/dashboards
fi
echo "*** JMeter START Tests ***"
for item in $(ls -1 /jmeter/tests | grep jmx)
do
echo "*** Removing dashboard directory for $item"
rm -rdf /jmeter/reports/dashboards/${item}*
echo "*** Removing tests directory for $item"
rm -rdf /jmeter/reports/files/${item}*
echo "*** Testing a $item file ***"
jmeter -n -t /jmeter/tests/${item} -l /jmeter/reports/files/${item}-report.jtl -e -o /jmeter/reports/dashboards/${item}-dash
done
is.yaml
$ tee is.yaml<<EOF
apiVersion: image.openshift.io/v1
kind: ImageStream
metadata:
generation: 1
labels:
build: jmeter-master
name: jmeter-master
EOF
bc.yaml
$ tee bc.yaml<<EOF
apiVersion: build.openshift.io/v1
kind: BuildConfig
metadata:
name: jmeter-master
spec:
failedBuildsHistoryLimit: 5
nodeSelector: null
output:
to:
kind: ImageStreamTag
name: 'jmeter-master:latest'
runPolicy: Serial
source:
binary: {}
type: Binary
strategy:
dockerStrategy:
from:
kind: ImageStreamTag
name: 'jmeter-base:latest'
type: Docker
successfulBuildsHistoryLimit: 5
EOF
让我们创造 IS
и BC
对象:
$ oc create -f is.yaml -n perftest
$ oc create -f bc.yaml -n perftest
我们收集 jmeter-master
图像:
$ oc start-build jmeter-master -n perftest --from-dir=. --follow
工作
Job
的用在 OpenShift
'e 为了运行一个或多个 POD
并保证执行命令/脚本后成功完成。
$ tee job.yaml<<EOF
apiVersion: batch/v1
kind: Job
metadata:
name: jmeter-master
labels:
jobName: jmeter-master
spec:
completions: 1
parallelism: 1
template:
metadata:
name: jmeter-master
labels:
jobName: jmeter-master
spec:
containers:
- name: jmeter-master
image: 172.30.1.1:5000/perftest/jmeter-master:latest
volumeMounts:
- mountPath: /jmeter/reports
name: jmeter-reports
imagePullPolicy: Always
volumes:
- name: jmeter-reports
persistentVolumeClaim:
claimName: jmeter-reports
restartPolicy: Never
terminationGracePeriodSeconds: 30
EOF
创建一个对象 Job
:
$ oc create -f job.yaml -n perftest
让我们检查一下作业的状态:
$ oc get jobs -n perftest
NAME DESIRED SUCCESSFUL AGE
jmeter-master 1 1 5m
删除 Job
让我们使用命令:
$ oc delete jobs/jmeter-master -n perftest --ignore-not-found=true
詹金斯管道
现在自动化。 让我们再次回顾一下这些步骤:
git clone
oc whoami -t
oc start-build ...
oc delete jobs/jmeter-master
oc create -f job.yaml -n perftest
下面是执行存储库克隆、删除和 OpenShift 创建的管道 Job
的。
#!groovy
pipeline {
agent any
stages {
stage('Start Notifications') {
steps {
echo "Sending Email Notification"
}
post {
always {
echo "STARTED - Performance Tests"
mail(to: '[email protected]', from: "[email protected]", subject: "START - Performance Tests",mimeType: "text/html", body: "<strong>START - Performance Tests</strong><br /><br />Project: Name of Project<br />Environment: PerfTest<br />Build number: ${env.BUILD_NUMBER}<br />Build URL: ${env.BUILD_URL}"
}
}
}
stage('Git checkout') {
steps {
...
}
}
stage('Perf Tests') {
steps {
script {
sh '''
OC_CMD1="oc login -u=username -p=PASS -n=perftest
--server=https://...:8443"
$OC_CMD1
OC_TOKEN=`oc whoami -t`
OC_CMD2="oc --token=$OC_TOKEN --server=https://...:8443
start-build jmeter-master -n=perftest --from-dir=./master
--follow=true"
OC_CMD3="oc --token=$OC_TOKEN --server=https://...:8443
delete jobs/jmeter-master -n=perftest --ignore-not-found=true"
OC_CMD4="oc--token=$OC_TOKEN --server=https://...:8443
create -f ./master/job.yaml -n=perftest"
$OC_CMD2
$OC_CMD3
$OC_CMD4
'''
}
}
}
post {
failure {
echo "FAILED - Performance Tests"
mail(to: '[email protected]', from: "[email protected]", subject: "FAILED - Performance Tests",mimeType: "text/html", body: "<strong>FAILED - Performance Tests</strong><br /><br />Project: Name of Project<br />Environment: PerfTest<br />Build number: ${env.BUILD_NUMBER}<br />Build URL: ${env.BUILD_URL}"
}
success {
echo "SUCCESSED - Performance Tests"
mail(to: '[email protected]', from: "[email protected]", subject: "SUCCESSED - Performance Tests",mimeType: "text/html", body: "<strong>SUCCESSED - Performance Tests</strong><br /><br />Project: Name of Project<br />Environment: PerfTest<br />Build number: ${env.BUILD_NUMBER}<br />Build URL: ${env.BUILD_URL}"
}
}
}
}
Pipeline完成运行后,我们将收到电子邮件通知 '[email protected]
从 [email protected]
.
通过点击链接 files
,存储测试报告:
文件内容 ya.HTTP.Request.jmx-report.jtk
:
timeStamp,elapsed,label,responseCode,responseMessage,threadName,dataType,success,failureMessage,bytes,sentBytes,grpThreads,allThreads,URL,Latency,IdleTime,Connect
1597311456443,569,Yandex - HTTP Request,200,Ok,Thread Group 1-1,text,true,,59449,220,1,1,https://ya.ru/,145,0,57
1597311456443,147,Yandex - HTTP Request-0,302,Found,Thread Group 1-1,,true,,478,110,1,1,http://ya.ru/,145,0,57
1597311456592,420,Yandex - HTTP Request-1,200,Ok,Thread Group 1-1,text,true,,58971,110,1,1,https://ya.ru/,370,0,259
结论
本文演示了在 OpenShift 环境中运行 JMeter 测试的选项之一。 我们手动完成了所有步骤,之后我们创建了 Jenkins Pipeline 来自动化运行测试的过程。
来源和文档
来源: habr.com