一、前提条件
Kubernetes > 1.16
二、部署拓扑
可以从 master 节点启动测试，master 节点把对应的测试脚本发送到对应的 slaves 节点，slave 节点的 pod/nodes 主要作用即发压。
部署文件清单：
jmeter_cluster_create.sh — 此脚本将要求一个唯一的 namespace，然后它将继续创建命名空间和所有组件（jmeter master，slaves，influxdb 和 grafana）。
注意：在启动前，请在jmeter_slaves_deploy.yaml文件中设置要用于 slaves 服务器的副本数，通常副本数应与拥有的 worker nodes 相匹配。
jmeter_master_configmap.yaml — Jmeter master 的应用配置。
jmeter_master_deployment.yaml — Jmeter master 的部署清单。
jmeter_slaves_deploy.yaml — Jmeter slave 的部署清单。
jmeter_slave_svc.yaml — jmeter slave 的服务清单。使用 headless service，这使我们能够直接获取 jmeter slave 的 POD IP 地址，而我们不需要 DNS 或轮询。创建此文件是为了使 slave Pod IP 地址更容易直接发送到 jmeter master。
jmeter_influxdb_configmap.yaml — influxdb 部署的应用配置。如果要在默认的 influxdb 端口之外使用 graphite 存储方法，这会将 influxdb 配置为暴露端口 2003，以便支持 graphite 。因此，可以使用 influxdb 部署来支持 jmeter 后置监听器方法（graphite 和 influxdb）。
jmeter_influxdb_deploy.yaml — Influxdb 的部署清单
jmeter_influxdb_svc.yaml — Influxdb 的服务清单。
jmeter_grafana_deploy.yaml — grafana 部署清单。
jmeter_grafana_svc.yaml — grafana 部署的服务清单，默认情况下使用 NodePort，如果公有云中运行它，则可以将其更改为 LoadBalancer（并且可以设置 CNAME 以使用 FQDN 缩短名称）。
dashboard.sh — 该脚本用于自动创建以下内容：
（1）influxdb pod 中的一个 influxdb 数据库（Jmeter）
（2）grafana 中的数据源（jmeterdb）
start_test.sh —此脚本用于自动运行 Jmeter 测试脚本，而无需手动登录 Jmeter 主 shell，它将询问 Jmeter 测试脚本的位置，然后将其复制到 Jmeter master pod 并启动自动对 Jmeter slave 进行测试。
jmeter_stop.sh - 停止测试
GrafanaJMeterTemplate.json — 预先构建的 Jmeter grafana 仪表板。
Dockerfile-base - 构建 Jmeter 基础镜像
Dockerfile-master - 构建 Jmeter master 镜像
Dockerfile-slave - 构建 Jmeter slave 镜像
Dockerimages.sh - 批量构建 docker 镜像
三、docker 镜像
1、构建 docker 镜像
执行脚本，构建镜像：
查看镜像：
将镜像推送到 Registry：
$ sudo docker login --username=xxxx registry.cn-beijing.aliyuncs.com$ sudo docker tag [ImageId] registry.cn-beijing.aliyuncs.com/7d/jmeter-base:[镜像版本号]$ sudo docker push registry.cn-beijing.aliyuncs.com/7d/jmeter-base:[镜像版本号]
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2、部署清单
Dockerfile-base （构建 Jmeter 基础镜像）：
FROM alpine:latestLABEL MAINTAINER 7DGroup
ARG JMETER_VERSION=5.2.1
#定义时区参数ENV TZ=Asia/Shanghai
RUN apk update && \ apk upgrade && \ apk add --update openjdk8-jre wget tar bash && \ mkdir /jmeter && cd /jmeter/ && \ wget https://mirrors.tuna.tsinghua.edu.cn/apache/jmeter/binaries/apache-jmeter-${JMETER_VERSION}.tgz && \ tar -xzf apache-jmeter-$JMETER_VERSION.tgz && rm apache-jmeter-$JMETER_VERSION.tgz && \ cd /jmeter/apache-jmeter-$JMETER_VERSION/ && \ wget -q -O /tmp/JMeterPlugins-Standard-1.4.0.zip https://jmeter-plugins.org/downloads/file/JMeterPlugins-Standard-1.4.0.zip && unzip -n /tmp/JMeterPlugins-Standard-1.4.0.zip && rm /tmp/JMeterPlugins-Standard-1.4.0.zip && \ wget -q -O /jmeter/apache-jmeter-$JMETER_VERSION/lib/ext/pepper-box-1.0.jar https://github.com/raladev/load/blob/master/JARs/pepper-box-1.0.jar?raw=true && \ cd /jmeter/apache-jmeter-$JMETER_VERSION/ && \ wget -q -O /tmp/bzm-parallel-0.7.zip https://jmeter-plugins.org/files/packages/bzm-parallel-0.7.zip && \unzip -n /tmp/bzm-parallel-0.7.zip && rm /tmp/bzm-parallel-0.7.zip && \ ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo "$TZ" > /etc/timezone
ENV JMETER_HOME /jmeter/apache-jmeter-$JMETER_VERSION/
ENV PATH $JMETER_HOME/bin:$PATH#JMeter 主配置文件ADD jmeter.properties $JMETER_HOME/bin/jmeter.properties
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Dockerfile-master（构建 Jmeter master 镜像）：
FROM registry.cn-beijing.aliyuncs.com/7d/jmeter-base:latestMAINTAINER 7DGroup EXPOSE 60000
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Dockerfile-slave（构建 Jmeter slave 镜像）：
Dockerfile-slave：FROM registry.cn-beijing.aliyuncs.com/7d/jmeter-base:latestMAINTAINER 7DGroup EXPOSE 1099 50000 ENTRYPOINT $JMETER_HOME/bin/jmeter-server \-Dserver.rmi.localport=50000 \-Dserver_port=1099 \-Jserver.rmi.ssl.disable=true
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Dockerimages.sh（批量构建 docker 镜像）：
#!/bin/bash -edocker build --tag="registry.cn-beijing.aliyuncs.com/7d/jmeter-base:latest" -f Dockerfile-base .docker build --tag="registry.cn-beijing.aliyuncs.com/7d/jmeter-master:latest" -f Dockerfile-master .docker build --tag="registry.cn-beijing.aliyuncs.com/7d/jmeter-slave:latest" -f Dockerfile-slave .
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四、Kubernetes 部署
1、部署组件
执行jmeter_cluster_create.sh,并输入一个唯一的 namespace
./jmeter_cluster_create.sh
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等待一会，查看 pods 安装情况：
$ kubectl get pods -n 7dgroupNAME READY STATUS RESTARTS AGEinfluxdb-jmeter-584cf69759-j5m85 1/1 Running 2 5mjmeter-grafana-6d5b75b7f6-57dxj 1/1 Running 1 5mjmeter-master-84bfd5d96d-kthzm 1/1 Running 0 5mjmeter-slaves-b5b75757-dxkxz 1/1 Running 0 5mjmeter-slaves-b5b75757-n58jw 1/1 Running 0 5m
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2、部署清单
2.1、主执行脚本
jmeter_cluster_create.sh（创建命名空间和所有组件（jmeter master，slaves，influxdb 和 grafana））:
#!/usr/bin/env bash#Create multiple Jmeter namespaces on an existing kuberntes cluster#Started On January 23, 2018working_dir=`pwd`echo "checking if kubectl is present"if ! hash kubectl 2>/dev/nullthenecho "'kubectl' was not found in PATH"echo "Kindly ensure that you can acces an existing kubernetes cluster via kubectl"exitfikubectl version --shortecho "Current list of namespaces on the kubernetes cluster:"echokubectl get namespaces | grep -v NAME | awk '{print $1}'echoecho "Enter the name of the new tenant unique name, this will be used to create the namespace"read tenantecho#Check If namespace existskubectl get namespace $tenant > /dev/null 2>&1if [ $? -eq 0 ]thenecho "Namespace $tenant already exists, please select a unique name"echo "Current list of namespaces on the kubernetes cluster"sleep 2kubectl get namespaces | grep -v NAME | awk '{print $1}'exit 1fiechoecho "Creating Namespace: $tenant"kubectl create namespace $tenantecho "Namspace $tenant has been created"echoecho "Creating Jmeter slave nodes"nodes=`kubectl get no | egrep -v "master|NAME" | wc -l`echoecho "Number of worker nodes on this cluster is " $nodesecho#echo "Creating $nodes Jmeter slave replicas and service"echokubectl create -n $tenant -f $working_dir/jmeter_slaves_deploy.yamlkubectl create -n $tenant -f $working_dir/jmeter_slaves_svc.yamlecho "Creating Jmeter Master"kubectl create -n $tenant -f $working_dir/jmeter_master_configmap.yamlkubectl create -n $tenant -f $working_dir/jmeter_master_deploy.yaml
echo "Creating Influxdb and the service"kubectl create -n $tenant -f $working_dir/jmeter_influxdb_configmap.yamlkubectl create -n $tenant -f $working_dir/jmeter_influxdb_deploy.yamlkubectl create -n $tenant -f $working_dir/jmeter_influxdb_svc.yamlecho "Creating Grafana Deployment"kubectl create -n $tenant -f $working_dir/jmeter_grafana_deploy.yamlkubectl create -n $tenant -f $working_dir/jmeter_grafana_svc.yamlecho "Printout Of the $tenant Objects"echokubectl get -n $tenant allecho namespace = $tenant > $working_dir/tenant_export
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2.2、jmeter_slaves
jmeter_slaves_deploy.yaml（Jmeter slave 的部署清单）：
apiVersion: apps/v1kind: Deploymentmetadata: name: jmeter-slaves labels: jmeter_mode: slavespec: replicas: 2 selector: matchLabels: jmeter_mode: slave template: metadata: labels: jmeter_mode: slave spec: containers: - name: jmslave image: registry.cn-beijing.aliyuncs.com/7d/jmeter-slave:latest imagePullPolicy: IfNotPresent ports: - containerPort: 1099 - containerPort: 50000 resources: limits: cpu: 4000m memory: 4Gi requests: cpu: 500m memory: 512Mi
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jmeter_slaves_svc.yaml（ Jmeter slave 的服务清单）：
apiVersion: v1kind: Servicemetadata: name: jmeter-slaves-svc labels: jmeter_mode: slavespec: clusterIP: None ports: - port: 1099 name: first targetPort: 1099 - port: 50000 name: second targetPort: 50000
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2.3、jmeter_master
jmeter_master_configmap.yaml（jmeter_master 应用配置）：
apiVersion: v1kind: ConfigMapmetadata: name: jmeter-load-test labels: app: influxdb-jmeterdata: load_test: | #!/bin/bash #Script created to invoke jmeter test script with the slave POD IP addresses #Script should be run like: ./load_test "path to the test script in jmx format" /jmeter/apache-jmeter-*/bin/jmeter -n -t $1 `getent ahostsv4 jmeter-slaves-svc | cut -d' ' -f1 | sort -u | awk -v ORS=, '{print $1}' | sed 's/,$//'`
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jmeter_master_deploy.yaml（jmeter_master 部署清单）：
apiVersion: apps/v1 # for versions before 1.9.0 use apps/v1beta2kind: Deploymentmetadata: name: jmeter-master labels: jmeter_mode: masterspec: replicas: 1 selector: matchLabels: jmeter_mode: master template: metadata: labels: jmeter_mode: master spec: containers: - name: jmmaster image: registry.cn-beijing.aliyuncs.com/7d/jmeter-master:latest imagePullPolicy: IfNotPresent command: [ "/bin/bash", "-c", "--" ] args: [ "while true; do sleep 30; done;" ] volumeMounts: - name: loadtest mountPath: /load_test subPath: "load_test" ports: - containerPort: 60000 resources: limits: cpu: 4000m memory: 4Gi requests: cpu: 500m memory: 512Mi volumes: - name: loadtest configMap: name: jmeter-load-test
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2.4、influxdb
jmeter_influxdb_configmap.yaml（influxdb 的应用配置）：
apiVersion: v1kind: ConfigMapmetadata: name: influxdb-config labels: app: influxdb-jmeterdata: influxdb.conf: | [meta] dir = "/var/lib/influxdb/meta"
[data] dir = "/var/lib/influxdb/data" engine = "tsm1" wal-dir = "/var/lib/influxdb/wal"
# Configure the graphite api [[graphite]] enabled = true bind-address = ":2003" # If not set, is actually set to bind-address. database = "jmeter" # store graphite data in this database
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jmeter_influxdb_deploy.yaml（influxdb 部署清单）：
apiVersion: apps/v1kind: Deploymentmetadata: name: influxdb-jmeter labels: app: influxdb-jmeterspec: replicas: 1 selector: matchLabels: app: influxdb-jmeter template: metadata: labels: app: influxdb-jmeter spec: containers: - image: influxdb imagePullPolicy: IfNotPresent name: influxdb volumeMounts: - name: config-volume mountPath: /etc/influxdb ports: - containerPort: 8083 name: influx - containerPort: 8086 name: api - containerPort: 2003 name: graphite volumes: - name: config-volume configMap: name: influxdb-config
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jmeter_influxdb_svc.yaml（influxdb 部署服务清单）：
apiVersion: v1kind: Servicemetadata: name: jmeter-influxdb labels: app: influxdb-jmeterspec: ports: - port: 8083 name: http targetPort: 8083 - port: 8086 name: api targetPort: 8086 - port: 2003 name: graphite targetPort: 2003 selector: app: influxdb-jmeter
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2.5、grafana
jmeter_grafana_deploy.yaml（grafana 部署清单）：
apiVersion: apps/v1kind: Deploymentmetadata: name: jmeter-grafana labels: app: jmeter-grafanaspec: replicas: 1 selector: matchLabels: app: jmeter-grafana template: metadata: labels: app: jmeter-grafana spec: containers: - name: grafana image: grafana/grafana:5.2.0 imagePullPolicy: IfNotPresent ports: - containerPort: 3000 protocol: TCP env: - name: GF_AUTH_BASIC_ENABLED value: "true" - name: GF_USERS_ALLOW_ORG_CREATE value: "true" - name: GF_AUTH_ANONYMOUS_ENABLED value: "true" - name: GF_AUTH_ANONYMOUS_ORG_ROLE value: Admin - name: GF_SERVER_ROOT_URL # If you're only using the API Server proxy, set this value instead: # value: /api/v1/namespaces/kube-system/services/monitoring-grafana/proxy value: /
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jmeter_grafana_svc.yaml（grafana 部署服务清单）：
apiVersion: v1kind: Servicemetadata: name: jmeter-grafana labels: app: jmeter-grafanaspec: ports: - port: 3000 targetPort: 3000 selector: app: jmeter-grafana type: NodePort---apiVersion: extensions/v1beta1kind: Ingressmetadata: annotations: nginx.ingress.kubernetes.io/service-weight: 'jmeter-grafana: 100' name: jmeter-grafana-ingressspec: rules: # 配置七层域名 - host: grafana-jmeter.7d.com http: paths: # 配置Context Path - path: / backend: serviceName: jmeter-grafana servicePort: 3000
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五、初始化 dashboard
1、启动 dashboard 脚本
检查 service 部署情况：
$ kubectl get svc -n 7dgroupNAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGEjmeter-grafana NodePort 10.96.6.201 <none> 3000:31801/TCP 10mjmeter-influxdb ClusterIP 10.96.111.60 <none> 8083/TCP,8086/TCP,2003/TCP 10mjmeter-slaves-svc ClusterIP None <none> 1099/TCP,50000/TCP 10m
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我们可以通过 http://任意 node_ip:31801/ 访问 grafana
最后，我们在 grafana 导入 dashborad 模版:
如果你不喜欢这个模版，也可以导入热门模版：5496
2、部署清单
dashboard.sh 该脚本用于自动创建以下内容：
#!/usr/bin/env bashworking_dir=`pwd`#Get namesapce variabletenant=`awk '{print $NF}' $working_dir/tenant_export`## Create jmeter database automatically in Influxdbecho "Creating Influxdb jmeter Database"##Wait until Influxdb Deployment is up and running##influxdb_status=`kubectl get po -n $tenant | grep influxdb-jmeter | awk '{print $2}' | grep Runninginfluxdb_pod=`kubectl get po -n $tenant | grep influxdb-jmeter | awk '{print $1}'`kubectl exec -ti -n $tenant $influxdb_pod -- influx -execute 'CREATE DATABASE jmeter'## Create the influxdb datasource in Grafanaecho "Creating the Influxdb data source"grafana_pod=`kubectl get po -n $tenant | grep jmeter-grafana | awk '{print $1}'`## Make load test script in Jmeter master pod executable#Get Master pod detailsmaster_pod=`kubectl get po -n $tenant | grep jmeter-master | awk '{print $1}'`kubectl exec -ti -n $tenant $master_pod -- cp -r /load_test /![]()jmeter/load_testkubectl exec -ti -n $tenant $master_pod -- chmod 755 /jmeter/load_test##kubectl cp $working_dir/influxdb-jmeter-datasource.json -n $tenant $grafana_pod:/influxdb-jmeter-datasource.jsonkubectl exec -ti -n $tenant $grafana_pod -- curl 'http://admin:admin@127.0.0.1:3000/api/datasources' -X POST -H 'Content-Type: application/json;charset=UTF-8' --data-binary '{"name":"jmeterdb","type":"influxdb","url":"http://jmeter-influxdb:8086","access":"proxy","isDefault":true,"database":"jmeter","user":"admin","password":"admin"}'
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六、启动测试
1、执行脚本
需要一个测试脚本，本例为：web-test.jmx
$ ./start_test.shEnter path to the jmx file web-test.jmx''SLF4J: Class path contains multiple SLF4J bindings.SLF4J: Found binding in [jar:file:/jmeter/apache-jmeter-5.0/lib/log4j-slf4j-impl-2.11.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]SLF4J: Found binding in [jar:file:/jmeter/apache-jmeter-5.0/lib/ext/pepper-box-1.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]Jul 25, 2020 11:30:58 AM java.util.prefs.FileSystemPreferences$1 runINFO: Created user preferences directory.Creating summariser <summary>Created the tree successfully using web-test.jmxConfiguring remote engine: 10.100.113.31Configuring remote engine: 10.100.167.173Starting remote enginesStarting the test @ Sat Jul 25 11:30:59 UTC 2020 (1595676659540)Remote engines have been startedWaiting for possible Shutdown/StopTestNow/Heapdump message on port 4445summary + 803 in 00:00:29 = 27.5/s Avg: 350 Min: 172 Max: 1477 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary + 1300 in 00:00:29 = 45.3/s Avg: 367 Min: 172 Max: 2729 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 2103 in 00:00:58 = 36.4/s Avg: 361 Min: 172 Max: 2729 Err: 0 (0.00%)summary + 1400 in 00:00:31 = 45.4/s Avg: 342 Min: 160 Max: 2145 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 3503 in 00:01:29 = 39.5/s Avg: 353 Min: 160 Max: 2729 Err: 0 (0.00%)summary + 1400 in 00:00:31 = 45.2/s Avg: 352 Min: 169 Max: 2398 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 4903 in 00:02:00 = 41.0/s Avg: 353 Min: 160 Max: 2729 Err: 0 (0.00%)summary + 1400 in 00:00:30 = 46.8/s Avg: 344 Min: 151 Max: 1475 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 6303 in 00:02:30 = 42.1/s Avg: 351 Min: 151 Max: 2729 Err: 0 (0.00%)summary + 1200 in 00:00:28 = 43.5/s Avg: 354 Min: 163 Max: 2018 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 7503 in 00:02:57 = 42.3/s Avg: 351 Min: 151 Max: 2729 Err: 0 (0.00%)summary + 1300 in 00:00:30 = 43.7/s Avg: 456 Min: 173 Max: 2401 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 8803 in 00:03:27 = 42.5/s Avg: 367 Min: 151 Max: 2729 Err: 0 (0.00%)summary + 1400 in 00:00:31 = 44.9/s Avg: 349 Min: 158 Max: 2128 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 10203 in 00:03:58 = 42.8/s Avg: 364 Min: 151 Max: 2729 Err: 0 (0.00%)summary + 1400 in 00:00:32 = 44.3/s Avg: 351 Min: 166 Max: 1494 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 11603 in 00:04:30 = 43.0/s Avg: 363 Min: 151 Max: 2729 Err: 0 (0.00%)summary + 1400 in 00:00:30 = 46.9/s Avg: 344 Min: 165 Max: 2075 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 13003 in 00:05:00 = 43.4/s Avg: 361 Min: 151 Max: 2729 Err: 0 (0.00%)summary + 1300 in 00:00:28 = 46.0/s Avg: 352 Min: 159 Max: 1486 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 14303 in 00:05:28 = 43.6/s Avg: 360 Min: 151 Max: 2729 Err: 0 (0.00%)summary + 1400 in 00:00:31 = 45.6/s Avg: 339 Min: 163 Max: 2042 Err: 0 (0.00%) Active: 40 Started: 40 Finished: 0summary = 15703 in 00:05:58 = 43.8/s Avg: 358 Min: 151 Max: 2729 Err: 0 (0.00%)summary + 494 in 00:00:07 = 69.0/s Avg: 350 Min: 171 Max: 1499 Err: 0 (0.00%) Active: 0 Started: 40 Finished: 40summary = 16197 in 00:06:06 = 44.3/s Avg: 358 Min: 151 Max: 2729 Err: 0 (0.00%)Tidying up remote @ Sat Jul 25 11:37:09 UTC 2020 (1595677029361)... end of run
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查看测试数据：
2、部署清单
start_test.sh（此脚本用于自动运行 Jmeter 测试脚本，而无需手动登录 Jmeter 主 shell，它将询问 Jmeter 测试脚本的位置，然后将其复制到 Jmeter master pod 并启动自动对 Jmeter slave 进行测试）:
#!/usr/bin/env bash#Script created to launch Jmeter tests directly from the current terminal without accessing the jmeter master pod.#It requires that you supply the path to the jmx file#After execution, test script jmx file may be deleted from the pod itself but not locally.
#直接从当前终端启动 Jmeter 测试而创建的脚本，无需访问 Jmeter master pod。#要求提供 jmx 文件的路径#执行后，测试脚本 jmx 文件可能会从 pod 本身删除，但不会在本地删除。
working_dir="`pwd`"
# 获取 namesapce 变量tenant=`awk '{print $NF}' "$working_dir/tenant_export"`
jmx="$1"[ -n "$jmx" ] || read -p 'Enter path to the jmx file ' jmx
if [ ! -f "$jmx" ];then echo "Test script file was not found in PATH" echo "Kindly check and input the correct file path" exitfi
test_name="$(basename "$jmx")"
# 获取 master pod 详细信息master_pod=`kubectl get po -n $tenant | grep jmeter-master | awk '{print $1}'`kubectl cp "$jmx" -n $tenant "$master_pod:/$test_name"
## 启动 Jmeter 压测kubectl exec -ti -n $tenant $master_pod -- /bin/bash /load_test "$test_name"kubectl exec -ti -n $tenant $master_pod -- /bin/bash /load_test "$test_name"
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jmeter_stop.sh（停止测试）:
#!/usr/bin/env bash#Script writtent to stop a running jmeter master test#Kindly ensure you have the necessary kubeconfig
#编写脚本来停止运行的 jmeter master 测试#请确保你有必要的 kubeconfigworking_dir=`pwd`
#获取 namesapce 变量tenant=`awk '{print $NF}' $working_dir/tenant_export`master_pod=`kubectl get po -n $tenant | grep jmeter-master | awk '{print $1}'`kubectl -n $tenant exec -it $master_pod -- bash -c "./jmeter/apache-jmeter-5.0/bin/stoptest.sh"
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七、小结
传统 Jmeter 存在的问题：
Kubernetes-Jmeter 带来的改变：
源码地址：
参考资料：
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