kubeadm部署kubernetes1.29

一、kubernetes集群节点准备

1.1、服务器要求

两台或多台安装linux服务器,此处使用vmware安装虚拟服务器
硬件配置:2GB或更多RAM,2个CPU或更多CPU
需要拉取镜像,如果服务器不能上网,需要提前下载镜像并导入节点

1.2、集群规划

软件版本
操作系统CentOS Stream release 9
kubernetes1.29
docker26.0.1
角色ip备注
k8s-master192.168.205.130node
k8s-node01192.168.205.131node

1.3、服务器环境准备(所有节点)

# 根据规划设置主机名【master节点上操作】
hostnamectl set-hostname k8s-master# 根据规划设置主机名【node01节点操作】
hostnamectl set-hostname k8s-node01

1.4、主机名与IP解析(所有节点)

cat >> /etc/hosts << EOF
192.168.205.130 k8s-master
192.168.205.131 k8s-node01
EOF

1.5、关闭防火墙与SELINUX(所有节点)

# 关闭防火墙
systemctl stop firewalld
systemctl disable firewalld# 关闭selinux
sed -i 's/enforcing/disabled/' /etc/selinux/config
setenforce 0

1.6、时间同步配置(所有节点)

yum install chrony -y
systemctl start chronyd && systemctl enable chronyd && chronyc sources
date

1.7、配置内核路由转发及网桥过滤(所有节点)

cat > /etc/sysctl.d/k8s.conf << EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward=1
vm.swappiness=0
EOF
sysctl --system# 加载br_netfilter模块
modprobe  br_netfilter
lsmod |grep  br_netfilter

1.8、配置ipvs转发(所有节点)

yum -y install ipset ipvsadm# 配置ipvsadm模块加载方式
# 添加需要加载的模块
mkdir -p /etc/sysconfig/ipvsadm
cat > /etc/sysconfig/ipvsadm/ipvs.modules <<EOF
#!/bin/bash
modprobe -- ip_vs
modprobe -- ip_vs_rr
modprobe -- ip_vs_wrr
modprobe -- ip_vs_sh
modprobe -- nf_conntrack
EOF# 授权、运行、检查是否加载
chmod 755 /etc/sysconfig/ipvsadm/ipvs.modules && bash /etc/sysconfig/ipvsadm/ipvs.modules && lsmod | grep -e ip_vs -e nf_conntrack

1.9、关闭swap分区(所有节点)

sed -ri 's/.*swap.*/#&/' /etc/fstab  
swapoff -a 
grep swap /etc/fstab 

二、Docker-ce及cri-dockerd准备

k8s(v1.24版本以前)使用docker-shim调用流程:kubelet(客户端) -> docker shim -> dockerd -> containerd -> containerd-shim -> runc
k8s(v1.24版本以后)使用CRI shim调用流程:kubelet(客户端) ->CRI shim(被contained内置) -> containerd -> containerd-shim -> runc

为什么要安装docker和ci-dockerd?

Kubernetes v1.24移除docker-shim的支持,而Docker Engine默认又不支持CRI标准,因此二者默认无法再直接集成。为此,Mirantis和Docker联合创建了cri-dockerd项目,用于为Docker Engine提供一个能够支持到CRI规范的桥梁,从而能够让Docker作为Kubernetes容器引擎。

2.1、Docker安装YUM源准备(所有节点)

wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -O /etc/yum.repos.d/docker-ce.repo

2.2、Docker安装(所有节点)

yum -y install docker-ce

2.3、启动Docker服务(所有节点)

systemctl enable --now docker

2.4、修改cgroup方式(所有节点)

在/etc/docker/daemon.json添加如下内容# cat > /etc/docker/daemon.json <<EOF
{"exec-opts": ["native.cgroupdriver=systemd"]
}
EOF

2.5、重新启动docker(所有节点)

systemctl restart docker

2.6、cri-dockerd安装(所有节点)
参考:https://github.com/Mirantis/cri-dockerd

kubernetes中的pause容器主要为每个业务容器提供以下功能:

  • PID命名空间:Pod中的不同应用程序可以看到其他应用程序的进程ID。
  • 网络命名空间:Pod中的多个容器能够访问同一个IP和端口范围。
  • IPC命名空间:Pod中的多个容器能够使用SystemV IPC或POSIX消息队列进行通信。
  • UTS命名空间:Pod中的多个容器共享一个主机名;Volumes(共享存储卷):
  • Pod中的各个容器可以访问在Pod级别定义的Volum
# 下载安装最新版的cri-dockerd
wget https://github.com/Mirantis/cri-dockerd/releases/download/v0.3.8/cri-dockerd-0.3.8.amd64.tgz
tar xf cri-dockerd-0.3.8.amd64.tgz 
mv cri-dockerd/cri-dockerd  /usr/bin/
rm -rf  cri-dockerd  cri-dockerd-0.3.8.amd64.tgz# 配置启动项
cat > /etc/systemd/system/cri-docker.service<<EOF
[Unit]
Description=CRI Interface for Docker Application Container Engine
Documentation=https://docs.mirantis.com
After=network-online.target firewalld.service docker.service
Wants=network-online.target
Requires=cri-docker.socket
[Service]
Type=notify
# ExecStart=/usr/bin/cri-dockerd --container-runtime-endpoint fd://
# 指定用作 Pod 的基础容器的容器镜像(“pause 镜像”)
ExecStart=/usr/bin/cri-dockerd --pod-infra-container-image=registry.k8s.io/pause:3.9 --container-runtime-endpoint fd:// 
ExecReload=/bin/kill -s HUP $MAINPID
TimeoutSec=0
RestartSec=2
Restart=always
StartLimitBurst=3
StartLimitInterval=60s
LimitNOFILE=infinity
LimitNPROC=infinity
LimitCORE=infinity
TasksMax=infinity
Delegate=yes
KillMode=process
[Install]
WantedBy=multi-user.target
EOFcat > /etc/systemd/system/cri-docker.socket <<EOF
[Unit]
Description=CRI Docker Socket for the API
PartOf=cri-docker.service
[Socket]
ListenStream=%t/cri-dockerd.sock
SocketMode=0660
SocketUser=root
SocketGroup=docker
[Install]
WantedBy=sockets.target
EOFsystemctl daemon-reload 
systemctl enable cri-docker && systemctl start cri-docker && systemctl status cri-docker

三、安装kubelet、kubeadm、kubectl

3.1、配置k8s源(所有节点)

cat <<EOF | sudo tee /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://pkgs.k8s.io/core:/stable:/v1.29/rpm/
enabled=1
gpgcheck=1
gpgkey=https://pkgs.k8s.io/core:/stable:/v1.29/rpm/repodata/repomd.xml.key
# exclude=kubelet kubeadm kubectl cri-tools kubernetes-cni
EOF

3.2、安装kubelet、kubeadm、kubectl (所有节点)

yum install -y kubelet kubeadm kubectl # 安装默认版本
yum -y install  kubeadm-1.29.0-150500.1.1  kubelet-1.29.0-150500.1.1 kubectl-1.29.0-150500.1.1  # 安装指定版本

3.3、配置 cgroup 驱动与docker一致(所有节点)

cp /etc/sysconfig/kubelet{,.bak}
cat > /etc/sysconfig/kubelet <<EOF
KUBELET_EXTRA_ARGS="--cgroup-driver=systemd"
EOF
systemctl enable kubelet

3.4、安装自动补全工具(可选)

yum install bash-completion -y 
source /usr/share/bash-completion/bash_completion
echo "source <(kubectl completion bash)" >> ~/.bashrc
source  ~/.bashrc   

3.5、查看配置镜像

# kubeadm config images list --kubernetes-version=v1.29.0
registry.k8s.io/kube-apiserver:v1.29.0
registry.k8s.io/kube-controller-manager:v1.29.0
registry.k8s.io/kube-scheduler:v1.29.0
registry.k8s.io/kube-proxy:v1.29.0
registry.k8s.io/coredns/coredns:v1.11.1
registry.k8s.io/pause:3.9
registry.k8s.io/etcd:3.5.10-0

3.6、如果网络有限制,请提前下载需要用到的镜像

# 重点,重点,重点
# kubeadm部署集群,需要用到k8s配置镜像和Calico网络配置镜像
# 由于默认拉取镜像地址k8s.gcr.io国内无法访问,国内镜像仓库我也没有找到,所以建议提前下载好,导入镜像。# 所有需要用到镜像(k8s配置镜像和Calico网络配置镜像):
# docker images
REPOSITORY                                TAG        IMAGE ID       CREATED         SIZE
calico/kube-controllers                   v3.27.0    4e87edec0297   12 days ago     75.5MB
calico/cni                                v3.27.0    8e8d96a874c0   12 days ago     211MB
calico/pod2daemon-flexvol                 v3.27.0    6506d2e0be2d   12 days ago     15.4MB
calico/node                               v3.27.0    1843802b91be   13 days ago     340MB
registry.k8s.io/kube-apiserver            v1.29.0    1443a367b16d   2 weeks ago     127MB
registry.k8s.io/kube-scheduler            v1.29.0    7ace497ddb8e   2 weeks ago     59.5MB
registry.k8s.io/kube-controller-manager   v1.29.0    0824682bcdc8   2 weeks ago     122MB
registry.k8s.io/kube-proxy                v1.29.0    98262743b26f   2 weeks ago     82.2MB
registry.k8s.io/etcd                      3.5.10-0   a0eed15eed44   8 weeks ago     148MB
registry.k8s.io/coredns/coredns           v1.11.1    cbb01a7bd410   4 months ago    59.8MB
registry.k8s.io/pause                     3.9        e6f181688397   14 months ago   744kB

3.7、集群初始化(master节点运行)

# 初始化集群
kubeadm init \
--apiserver-advertise-address 192.168.205.130 # master节点ip  \
--kubernetes-version v1.29.0 \
--pod-network-cidr=10.244.0.0/16 # pod分配的ip \
--cri-socket=unix:///var/run/cri-dockerd.sock# 如果网络有问题,请使用如下命令初始化
kubeadm init \
--apiserver-advertise-address 192.168.205.130 # master节点ip  \
--kubernetes-version v1.29.0 \
--pod-network-cidr=10.244.0.0/16 # pod分配的ip \
--cri-socket=unix:///var/run/cri-dockerd.sock --image-repository registry.cn-hangzhou.aliyuncs.com/google_containers

说明:
–apiserver-advertise-address 集群通告地址,node节点连接master的地址,如果是高可用,需要配置VIP的地址。这里是单master架构,默认master地址即可。
–kubernetes-version K8s版本,与上面安装的一致
–pod-network-cidr Pod网络,与下面部署的CNI网络组件yaml中保持一致
–cri-socket 指定cri-dockerd接口,如果是containerd则使用–cri-socket unix:///run/containerd/containerd.sock

3.8、集群初始化过程如下

kubeadm init \
--apiserver-advertise-address 192.168.205.130  \
--kubernetes-version v1.29.0 \
--pod-network-cidr=10.244.0.0/16 \
--cri-socket=unix:///var/run/cri-dockerd.sock
[init] Using Kubernetes version: v1.29.0
[preflight] Running pre-flight checks
[preflight] Pulling images required for setting up a Kubernetes cluster
[preflight] This might take a minute or two, depending on the speed of your internet connection
[preflight] You can also perform this action in beforehand using 'kubeadm config images pull'
[certs] Using certificateDir folder "/etc/kubernetes/pki"
[certs] Generating "ca" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [k8s-master01 kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.205.130]
[certs] Generating "apiserver-kubelet-client" certificate and key
[certs] Generating "front-proxy-ca" certificate and key
[certs] Generating "front-proxy-client" certificate and key
[certs] Generating "etcd/ca" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [k8s-master01 localhost] and IPs [192.168.205.130 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [k8s-master01 localhost] and IPs [192.168.205.130 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "sa" key and public key
[kubeconfig] Using kubeconfig folder "/etc/kubernetes"
[kubeconfig] Writing "admin.conf" kubeconfig file
[kubeconfig] Writing "super-admin.conf" kubeconfig file
[kubeconfig] Writing "kubelet.conf" kubeconfig file
[kubeconfig] Writing "controller-manager.conf" kubeconfig file
[kubeconfig] Writing "scheduler.conf" kubeconfig file
[etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests"
[control-plane] Using manifest folder "/etc/kubernetes/manifests"
[control-plane] Creating static Pod manifest for "kube-apiserver"
[control-plane] Creating static Pod manifest for "kube-controller-manager"
[control-plane] Creating static Pod manifest for "kube-scheduler"
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Starting the kubelet
[wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s
[apiclient] All control plane components are healthy after 4.003337 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config" in namespace kube-system with the configuration for the kubelets in the cluster
[upload-certs] Skipping phase. Please see --upload-certs
[mark-control-plane] Marking the node k8s-master01 as control-plane by adding the labels: [node-role.kubernetes.io/control-plane node.kubernetes.io/exclude-from-external-load-balancers]
[mark-control-plane] Marking the node k8s-master01 as control-plane by adding the taints [node-role.kubernetes.io/control-plane:NoSchedule]
[bootstrap-token] Using token: nv9u6j.4n2jh1x6bgg7b1fd
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[bootstrap-token] Configured RBAC rules to allow Node Bootstrap tokens to get nodes
[bootstrap-token] Configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials
[bootstrap-token] Configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token
[bootstrap-token] Configured RBAC rules to allow certificate rotation for all node client certificates in the cluster
[bootstrap-token] Creating the "cluster-info" ConfigMap in the "kube-public" namespace
[kubelet-finalize] Updating "/etc/kubernetes/kubelet.conf" to point to a rotatable kubelet client certificate and key
[addons] Applied essential addon: CoreDNS
[addons] Applied essential addon: kube-proxyYour Kubernetes control-plane has initialized successfully!To start using your cluster, you need to run the following as a regular user:mkdir -p $HOME/.kubesudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/configsudo chown $(id -u):$(id -g) $HOME/.kube/configAlternatively, if you are the root user, you can run:export KUBECONFIG=/etc/kubernetes/admin.confYou should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:https://kubernetes.io/docs/concepts/cluster-administration/addons/Then you can join any number of worker nodes by running the following on each as root:kubeadm join 192.168.205.130:6443 --token nv9u6j.4n2jh1x6bgg7b1fd \--discovery-token-ca-cert-hash sha256:e39b95badc82de71bb2c933d10007d57f82718c28c492be4c214a8df642d4ae4 

3.9、创建配置目录(master)

mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
# 创建可永久使用的token
kubeadm token create --ttl 0  --print-join-command

3.10、node节点执行如下命令添加节点(node节点运行)

# 添加node节点输出过程
kubeadm join 192.168.205.130:6443 --token nv9u6j.4n2jh1x6bgg7b1fd --discovery-token-ca-cert-hash sha256:e39b95badc82de71bb2c933d10007d57f82718c28c492be4c214a8df642d4ae4  --cri-socket unix:///var/run/cri-dockerd.sock
[preflight] Running pre-flight checks
[preflight] Reading configuration from the cluster...
[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -o yaml'
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Starting the kubelet
[kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...This node has joined the cluster:
* Certificate signing request was sent to apiserver and a response was received.
* The Kubelet was informed of the new secure connection details.Run 'kubectl get nodes' on the control-plane to see this node join the cluster.

四、集群网络插件 calico 部署(master节点运行)

参考地址:https://docs.tigera.io/calico/latest/getting-started/kubernetes/quickstart
4.1、应用operator资源清单文件

kubectl create -f https://raw.githubusercontent.com/projectcalico/calico/v3.26.4/manifests/tigera-operator.yaml
namespace/tigera-operator created
customresourcedefinition.apiextensions.k8s.io/bgpconfigurations.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/bgpfilters.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/bgppeers.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/blockaffinities.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/caliconodestatuses.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/clusterinformations.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/felixconfigurations.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/globalnetworkpolicies.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/globalnetworksets.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/hostendpoints.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/ipamblocks.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/ipamconfigs.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/ipamhandles.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/ippools.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/ipreservations.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/kubecontrollersconfigurations.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/networkpolicies.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/networksets.crd.projectcalico.org created
customresourcedefinition.apiextensions.k8s.io/apiservers.operator.tigera.io created
customresourcedefinition.apiextensions.k8s.io/imagesets.operator.tigera.io created
customresourcedefinition.apiextensions.k8s.io/installations.operator.tigera.io created
customresourcedefinition.apiextensions.k8s.io/tigerastatuses.operator.tigera.io created
serviceaccount/tigera-operator created
clusterrole.rbac.authorization.k8s.io/tigera-operator created
clusterrolebinding.rbac.authorization.k8s.io/tigera-operator created
deployment.apps/tigera-operator created

4.2、通过自定义方式安装

wget https://raw.githubusercontent.com/projectcalico/calico/v3.26.4/manifests/custom-resources.yaml

4.2.1、修改文件第13行,修改为使用kubeadm init ----pod-network-cidr对应的IP地址段

vim custom-resources.yaml11     ipPools:12     - blockSize: 2613       cidr: 10.244.0.0/16 14       encapsulation: VXLANCrossSubnet

4.3、应用资源清单文件

kubectl apply -f custom-resources.yaml

4.4、监视calico-sysem命名空间中pod运行情况

watch kubectl get pods -n calico-system

4.5、查看calico是否正常运行

kubectl get pods -n calico-system
NAME                                       READY   STATUS    RESTARTS   AGE
calico-kube-controllers-5485657c4c-jkzd7   1/1     Running   0          2m27s
calico-node-jw957                          1/1     Running   0          2m27s
calico-node-m5dfr                          1/1     Running   0          2m27s
calico-typha-5dd5d45968-s75bf              1/1     Running   0          2m27s
csi-node-driver-gfm64                      2/2     Running   0          2m27s
csi-node-driver-jzkhx                      2/2     Running   0          2m27s

4.6、查看集群节点是否正常运行

kubectl get nodes
[root@k8s-master01 ~]# kubectl get nodes
NAME           STATUS   ROLES           AGE   VERSION
k8s-master01   Ready    control-plane   38m   v1.29.0
k8s-node01     Ready    <none>          21m   v1.29.0

4.7、查看所有pod是否正常运行

kubectl get pod -A 
NAMESPACE          NAME                                       READY   STATUS    RESTARTS   AGE
calico-apiserver   calico-apiserver-5447dffd95-44llf          1/1     Running   0          62s
calico-apiserver   calico-apiserver-5447dffd95-lvfs8          1/1     Running   0          62s
calico-system      calico-kube-controllers-5485657c4c-jkzd7   1/1     Running   0          2m35s
calico-system      calico-node-jw957                          1/1     Running   0          2m35s
calico-system      calico-node-m5dfr                          1/1     Running   0          2m35s
calico-system      calico-typha-5dd5d45968-s75bf              1/1     Running   0          2m35s
calico-system      csi-node-driver-gfm64                      2/2     Running   0          2m35s
calico-system      csi-node-driver-jzkhx                      2/2     Running   0          2m35s
kube-system        coredns-76f75df574-c6qh5                   1/1     Running   0          38m
kube-system        coredns-76f75df574-dttmd                   1/1     Running   0          38m
kube-system        etcd-k8s-master01                          1/1     Running   0          38m
kube-system        kube-apiserver-k8s-master01                1/1     Running   0          38m
kube-system        kube-controller-manager-k8s-master01       1/1     Running   0          38m
kube-system        kube-proxy-5ddt5                           1/1     Running   0          21m
kube-system        kube-proxy-bclmq                           1/1     Running   0          38m
kube-system        kube-scheduler-k8s-master01                1/1     Running   0          38m
tigera-operator    tigera-operator-7f8cd97876-bt6ph           1/1     Running   0          3m45s

注:以后所有yaml文件都只在Master节点执行。
安装目录:/etc/kubernetes/
组件配置文件目录:/etc/kubernetes/manifests/

五、测试集群是否正常运行pod

#创建测试pod nginx
kubectl create deployment web -r 2 --image=nginx
deployment.apps/web created
# 使用nodeport将端口映射出来
kubectl expose deployment web --port=80  --type=NodePort
service/web exposed

5.1、查看pod运行状态

 kubectl get pod,svc
NAME                      READY   STATUS    RESTARTS   AGE
pod/web-76fd95c67-65wpv   1/1     Running   0          21s
pod/web-76fd95c67-fj8p4   1/1     Running   0          21sNAME                 TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)        AGE
service/kubernetes   ClusterIP   10.96.0.1        <none>        443/TCP        40m
service/web          NodePort    10.102.193.245   <none>        80:31105/TCP   5s

5.2、命令行测试

curl 192.168.205.131:31105
111-test
curl 192.168.205.131:31105
2222-test

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.mzph.cn/news/814244.shtml

如若内容造成侵权/违法违规/事实不符,请联系多彩编程网进行投诉反馈email:809451989@qq.com,一经查实,立即删除!

相关文章

爬虫开发教程

一、爬虫概述 爬虫&#xff08;也称为网络爬虫或蜘蛛&#xff09;是一种自动化程序&#xff0c;能够模拟人类在互联网上浏览和抓取数据的行为。它通过发送HTTP请求&#xff0c;获取网页的HTML代码&#xff0c;然后解析这些代码以提取有用的数据。爬虫在数据分析、价格监测、竞…

sql注入之宽字节注入

1.1 宽字节注入原理 宽字节注入&#xff0c;在 SQL 进行防注入的时候&#xff0c;一般会开启 gpc&#xff0c;过滤特殊字符。 一般情况下开启 gpc 是可以防御很多字符串型的注入&#xff0c;但是如果数据库编码不 对&#xff0c;也可以导致 SQL 防注入绕过&#xff0c;达到注入…

【网站项目】农产品自主供销小程序

&#x1f64a;作者简介&#xff1a;拥有多年开发工作经验&#xff0c;分享技术代码帮助学生学习&#xff0c;独立完成自己的项目或者毕业设计。 代码可以私聊博主获取。&#x1f339;赠送计算机毕业设计600个选题excel文件&#xff0c;帮助大学选题。赠送开题报告模板&#xff…

英特尔、联想等服务器曝出难以修复的漏洞

文章目录 前言一、漏洞潜伏六年,服务器供应链安全堪忧二、漏洞广泛存在但难以修复前言 近日,英特尔、联想等多个厂商销售的服务器硬件曝出一个难以修复的远程可利用漏洞。该漏洞属于供应链漏洞,源自一个被多家服务器厂商整合到产品中的开源软件包——Lighttpd。 Lighttpd是…

SpringMVC之响应

1.SpringMVC响应常用注解 注解名称注解类型位置作用RestController类注解SpringMVC控制器类上定义设置当前类为SpringMVC控制器类&#xff0c;且设置当前控制器类中所有方法的返回值为响应内容&#xff08;该注解包含ResponseBody注解&#xff09;ResponseBody方法注解SpringM…

Vue3——html-doc-ja(html导出为word的js库)

一、下载 官方地址 html-doc-js - npm npm install html-doc-js 二、使用方法 // 使用页面中引入 import exportWord from html-doc-js// 配置项以及实现下载方法 const wrap document.getElementById(test)const config {document:document, //默认当前文档的document…

初识SpringMVC(SpringMVC学习笔记一)

1 、还是熟悉的配方&#xff0c;先创建一个父Maven项目&#xff08;忘记怎么创建项目了就去前面翻笔记&#xff09;&#xff0c;导入通用的配置依赖 <project xmlns"http://maven.apache.org/POM/4.0.0" xmlns:xsi"http://www.w3.org/2001/XMLSchema-instan…

Vitis HLS 学习笔记--ap_int.h / ap_fixed.h(1)

目录 目录 1. 概述 2. 简要规则 3. 浮点运算的复杂性 2.1 对阶 3.2 尾数运算 3.3 规格化和舍入 3.4 特殊值的处理 4. 示例&#xff08;ap_fixed.h&#xff09; 5. 量化模式&#xff08;ap_fixed.h&#xff09; 5.1 AP_SAT* 模式会增加资源用量 1. 概述 ap_int.h 和…

如何将三方库集成到hap包中——通过IDE集成cmak构建方式的C/C++三方库

简介 cmake构建方式是开源三方库的主流构建方式。DevEco Studio目前以支持cmake的构建方式。本文将通过在IDE上适配cJSON三方库为例讲来解如何在IDE上集成cmake构建方式得三方库。 创建工程 在开发进行三方库适配以及napi接口开发前&#xff0c;我们需要创建一个三方库对应的…

【opencv】示例-points_classifier.cpp 使用不同机器学习算法在二维空间中对点集进行分类...

#include "opencv2/core.hpp" // 包含OpenCV核心功能的文件 #include "opencv2/imgproc.hpp" // 包含OpenCV图像处理功能的文件 #include "opencv2/ml.hpp" // 包含OpenCV机器学习模块的文件 #include "opencv2/highgui.hpp" // 包含O…

【vue】slot 匿名插槽 / 具名插槽

slot父组件向子组件传递数据 匿名插槽–直接写 具名插槽–指定名称 父组件中 子组件中&#xff1a; 代码 App.vue <template><h2>App.vue</h2><!-- 匿名插槽 --><Header><a href"1234567890.com">1234567890</a>&…

Vue2基础知识

钩子函数created()和mount()区别 created()是在创建数据代理之后执行的&#xff0c;mount()是在将虚拟dom渲染成真实dom之后执行的 vue的数据代理和数据劫持 开发者工具里获取vue中data的一个数据时可以看到有一个{...},在我们点击之后才能获取到数据。 这是因为vue在初始化…

常用的过滤网站扫描网站攻击的路径是那些,比如:/etc/passwd等

网站攻击中经常被尝试的路径主要包括利用漏洞获取敏感文件、执行系统命令或者注入恶意代码的尝试。以下是一些常见的被攻击者尝试访问的路径和文件&#xff0c;这些通常在网络入侵检测系统&#xff08;IDS&#xff09;和网络防火墙的过滤规则中被特别关注&#xff1a; 系统文件…

LLM大语言模型微调方法和技术汇总

本文详细介绍了机器学习中的微调技术&#xff0c;特别是在预训练模型上进行微调的方法和技术。文章首先解释了什么是微调&#xff0c;即在预训练模型的基础上&#xff0c;通过特定任务的数据进行有监督训练&#xff0c;以提高模型在该任务上的性能。随后&#xff0c;详细介绍了…

C++格式化输出开源库fmt入手教程

fmt项目快速上手指南 1. cmake环境配置 include(FetchContent) FetchContent_Declare(fmtGIT_REPOSITORY https://github.com/fmtlib/fmtGIT_TAG 10.0.0GIT_SHALLOW TRUE) # 1. 下载fmt库 FetchContent_MakeAvailable(fmt)add_executable(fmt_guide main.cpp) # 2. 链接fmt库…

【opencv】示例-minarea.cpp 如何寻找一组随机生成的点的最小外接矩形、三角形和圆...

// 包含OpenCV库的高GUI模块和图像处理模块的头文件 #include "opencv2/highgui.hpp" #include "opencv2/imgproc.hpp"// 包含标准输入输出流的头文件 #include <iostream>// 使用命名空间cv和std&#xff0c;这样我们就可以直接使用OpenCV和标准库的…

docker-compose部署traefik负载本机docker-pxc集群

一.下载docker-compose https://download.csdn.net/download/cyw8998/89093489 2.172 https://download.csdn.net/download/cyw8998/89122396 2.5 拷贝到/usr/local/bin中&#xff0c;并赋权限chmod x /usr/local/bin/docker-compose 二.安装docker traefik:v2.4 dock…

Android开发:Camera2+MediaRecorder录制视频后上传到阿里云VOD

文章目录 版权声明前言1.Camera1和Camera2的区别2.为什么选择Camera2&#xff1f; 一、应用Camera2MediaPlayer实现拍摄功能引入所需权限构建UI界面的XMLActivity中的代码部分 二、在上述界面录制结束后点击跳转新的界面进行视频播放构建播放界面部分的XMLActivity的代码上述代…

WebLogic-XMLDecoder(CVE-2017-10271)反序列化漏洞分析及复现

&#x1f36c; 博主介绍&#x1f468;‍&#x1f393; 博主介绍&#xff1a;大家好&#xff0c;我是 hacker-routing &#xff0c;很高兴认识大家~ ✨主攻领域&#xff1a;【渗透领域】【应急响应】 【Java、PHP】 【VulnHub靶场复现】【面试分析】 &#x1f389;点赞➕评论➕收…

OpenCV轻松入门(六)——简单图片处理【马赛克、毛玻璃、浮雕效果】

马赛克效果 马赛克指现行广为使用的一种图像&#xff08;视频&#xff09;处理手段&#xff0c;此手段将影像特定区域的色阶细节劣化并造成色块打乱的效果&#xff0c;因为这种模糊看上去有一个个的小格子组成&#xff0c;便形象的称这种画面为马赛克。其目的通常是使之无法辨…