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本文需要一些知识储备，有一定的自学能力，有一定的自行解决问题的能力，不然直接看的话压力会比较大，建议有一定知识储备后作为提升来学
本文的前置条件是会docker，还要有两台以上的虚拟机，还不了解的可以先看我前一篇文章
centos8安装docker运行java文件_centos8 docker安装java8-CSDN博客
本文是我在完整搭建完整个系统后再这里的，所以有些步骤和当时排查的问题可能会有些遗忘，请谅解，有问题的部分可以在评论提问，我会回答并更新到文章中
本文涉及的技术有
k8s，flannel，nfs，mysql，nginx
nacos，sentinel，seata这几个是springcloud-alibaba的，如果不是部这种项目，这3个的部分可以跳过
我这使用的是springboot 2.7.18、spring-cloud 2021.0.9、spring-cloud-alibaba 2021.0.5.0、nacos 2.2.3、sentinel 1.8.6、seata1.6.1，如果你的版本和我不一样，自行去spring-cloud-alibaba官网查下你自己匹配的版本，下面部署的时候也对应的记得修改版本，不要就直接抄，版本不对可能会导致项目起不来
1. 安装k8s
我这弄的两台虚拟机的配置是
|-----------|----------------|-----------|
| 服务器名 | ip | 配置 |
| k8smaster | 192.168.233.20 | 2G内存20G硬盘 |
| k8snode1 | 192.168.233.21 | 8G内存20G硬盘 |
node1的内存比较高是因为原本是设置2G内存，在部署到nacos的时候node1就因为内存不够而卡死了，然后加到了4G，然后我springcloud-alibaba部署了7个服务，又卡死了，所以加到了8G内存，现在完整部署完，node1实际使用内存4.7G，各位可以看自己情况调整
服务器名称可以通过以下命令进行修改
bash
hostnamectl set-hostname xxxx1.1 关闭防火墙、selinux、swap
master服务器和node服务器都要执行
关闭防火墙，k8s会默认使用iptables做访问限制，防火墙开着可能会阻止k8s集群中各节点的互相访问
bash
systemctl stop firewalld && systemctl disable firewalld关闭selinux
SELinux是一种安全子系统，它提供访问控制机制。在Kubernetes集群中，某些节点可能运行在CPU或内存受限的环境中，或者需要运行特定的安全策略。在这些情况下，可能需要配置SELinux以允许Kubernetes正常工作。但是，完全关闭SELinux（设置为permissive或disabled模式）通常用于简化安全策略，以避免潜在的安全问题。
bash
setenforce 0
sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config关闭swap
swap是linux系统的虚拟内存，k8s觉得虚拟内存会影响他的执行效率，所以k8s启动时会检测swap是否关闭，没关不让启动，但是启动参数里可以加参数在启动时忽略判断swap是否关闭，有兴趣可以自己查下，我这介绍按k8s关闭swap的搭建方法
bash
sed -ri 's/.*swap.*/#&/' /etc/fstab1.2 安装docker
master服务器和node服务器都要执行
centos8安装docker运行java文件_centos8 docker安装java8-CSDN博客
1.3 安装 kubelet、kubeadm、kubectl
master服务器和node服务器都要执行
kubeadm：搭建kube集群的东西
kubelet：kube中和docker交互创建对应容器的服务，旧版的kube-apiserver、kube-proxy、kube-scheduler等，那些的都会在kubelet里自动创建
kubectl：kube的控制台
我这使用的是1.18.0版本，如有需要自行修改
bash
yum install -y kubelet-1.18.0 kubeadm-1.18.0 kubectl-1.18.01.4 创建master节点
仅master节点执行
执行前请确保kubelet服务已经启动完毕，以下命令能查询kubelet的状态
bash
systemctl status kubelet
bash
kubelet.service - kubelet: The Kubernetes Node Agent
Loaded: loaded (/usr/lib/systemd/system/kubelet.service; enabled; vendor preset: disabled)
Drop-In: /usr/lib/systemd/system/kubelet.service.d
└─10-kubeadm.conf
Active: active (running) since Mon 2024-09-09 17:39:32 CST; 1 day 21h ago
Docs: https://kubernetes.io/docs/
Main PID: 798 (kubelet)
Tasks: 19 (limit: 11363)
Memory: 77.5M
CGroup: /system.slice/kubelet.service
└─798 /usr/bin/kubelet --bootstrap-kubeconfig=/etc/kubernetes/bootstrap-kubelet.conf --kubeconfig=/etc/kubernetes/kubelet.conf --config=/var/lib/kubelet/config.yaml --cgroup-driver>
Sep 11 15:31:10 k8smaster kubelet[798]: E0911 15:31:10.396187 798 summary_sys_containers.go:47] Failed to get system container stats for "/system.slice/docker.service": failed to get cgro>
Sep 11 15:31:20 k8smaster kubelet[798]: E0911 15:31:20.420096 798 summary_sys_containers.go:47] Failed to get system container stats for "/system.slice/docker.service": failed to get cgro>以下命令查看docker中是否创建好kube基础依赖的容器
bash
docker ps这里随便cp了2个出来，有看到这俩，或者类似这俩的，应该就行了
bash
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
d8cfa18ec556 registry.aliyuncs.com/google_containers/pause:3.2 "/pause" 46 hours ago Up 46 hours k8s_POD_kube-apiserver-k8smaster_kube-system_24d2e38ac3ee7dbd192b59ae301f2958_1
59ca2ec352a8 43940c34f24f "/usr/local/bin/kube..." 46 hours ago Up 46 hours k8s_kube-proxy_kube-proxy-jvp78_kube-system_2c89a685-e9d1-490a-b945-13a38eca665d_1apiserver-advertise-address：当前服务器的静态ip，装好docker和kubelet，kubelet会自动在docker里运行kube-apiserver所以填当前服务器地址
倒数两行是service和pod的ip网段，最好不要修改，这个网段和flannel的默认值是匹配的，如果修改到时候flannel也要修改
bash
kubeadm init \
--v=5 \
--apiserver-advertise-address=192.168.233.20 \
--image-repository=registry.aliyuncs.com/google_containers \
--kubernetes-version=v1.18.0 \
--service-cidr=10.96.0.0/12 \
--pod-network-cidr=10.244.0.0/16输出以下内容master节点就算搭建成功了
失败看1.6
bash
Your Kubernetes control-plane has initialized successfully!
To start using your cluster, you need to run the following as a regular user:
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
You 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 192.168.233.20:6443 --token 1aczra.6ttwnx7vkcvfvr26 \
--discovery-token-ca-cert-hash sha256:85feeb8ca8b4a9161446732118ca87f5f995bcdcf3f13d4711cf9aff4d50360e然后按照上面的提示，在master节点上执行这三行的内容，这是赋予本机的kubectl操作权限
bash
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config1.5 node节点加入集群
仅node节点执行
在master节点搭建完的时候，最下面会输出这段代码，直接复制到node节点上执行就能作为node节点加入到集群
bash
kubeadm join 192.168.233.20:6443 --token 1aczra.6ttwnx7vkcvfvr26 \
--discovery-token-ca-cert-hash sha256:85feeb8ca8b4a9161446732118ca87f5f995bcdcf3f13d4711cf9aff4d50360e如果没记下来忘了，那么在master服务器上输入以下命令，可以再次输出加入k8s集群的代码
bash
kubeadm token create --print-join-command1.6 master节点创建失败的情况
仅master节点执行
先去排查kubelet服务是否启动成功，对应的docker容器是否创建了，1.4有查看的方法，根据报错信息去网上查解决方法
解决kubelet的问题后，要重新使用kubeadm init之前，先要重置kubeadm并删除上次init产生的垃圾文件
重置kubeadm
bash
kubeadm reset删除垃圾文件
bash
rm -rf /etc/kubernetes/*
rm -rf $HOME/.kube/*1.7 k8s部署flannel
仅master节点执行
到这一步，使用以下命令可以看到，我们的master节点还是处于NotReady状态，这时需要部署flannel来自动为创建的service和pod分配ip
bash
kubectl get node我们直接下载k8s部署flannel的yml文件，然后用kubectl create命令执行
bash
wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
kubectl create -f kube-flannel.yml我下的这版flannel会单独创建个namespace运行他的内容，用以下命令可以查看flannel pod的创建情况，创建完了后，再用kubectl get node 此时master节点的状态应该就变成Ready了
bash
kubectl get pods -n kube-flannel2. 部署nfs
nfs是文件共享服务，docker容器运行时，我们常把一些容器中的目录映射到宿主机的目录上，方便修改配置文件、查看日志等，但是使用了k8s我们可能会有很多的node节点，我们去每个服务器上做配置、看日志非常不方便，所以就用到了nfs文件共享服务，我们可以把所有node节点的容器目录映射到文件共享服务器上，这样我们修改配置文件或查看日志等操作，就可以在文件共享服务器上统一操作了，不用到各个node服务器上操作
2.1 搭建nfs服务
nfs服务搭建非常简单，网上普遍是直接在宿主机上搭建，我这使用的是用docker搭建的方法，你们不想用docker也能搜搜直接在宿主机上搭建的方法，也就两三步的事
nfs服务可以搭建在单独的服务器上，我这为了省事直接搭在master服务器上
下载nfs镜像
bash
docker pull itsthenetwork/nfs-server-alpine运行nfs容器，这是24年9月的运行方式，旧版的共享目录的全局变量不是NFS_EXPORTED_DIR是SHARE_DIR_NAME，docker ps 如果看到容器一直在重启，可以用docker logs nfs-server查看容器启动失败的原因，如果是缺少全局变量会直接把缺少的参数名输出出来，看参数名推测下该参数的用处，加在启动命令里就好了
bash
docker run --privileged -d --name nfs-server --restart always -v /data/nfs:/nfs/shared -p 2049:2049 -e NFS_EXPORTED_DIR="/nfs/shared" itsthenetwork/nfs-server-alpine2.2 搭建k8s nfs-client-provisioner
仅master节点执行
k8s创建statefulsets类型的服务时需要提供pvc作为存储空间，nfs-client-provisioner可以通过自动在创建映射到nfs服务的pvc供statefulsets使用
bash
kubectl create -f nfs-deployment.yamlnfs-deployment.yaml
javascript
apiVersion: v1
kind: ServiceAccount
metadata:
name: nfs-client-provisioner
---
kind: Deployment
apiVersion: apps/v1
metadata:
name: nfs-client-provisioner
spec:
replicas: 1
strategy:
type: Recreate
selector:
matchLabels:
app: nfs-client-provisioner
template:
metadata:
labels:
app: nfs-client-provisioner
spec:
serviceAccount: nfs-client-provisioner
containers:
- name: nfs-client-provisioner
image: quay.io/external_storage/nfs-client-provisioner:latest
volumeMounts:
- name: nfs-client-root
mountPath: /persistentvolumes
env:
- name: PROVISIONER_NAME
value: fuseim.pri/ifs # 可改后面会用到
- name: NFS_SERVER
value: 192.168.233.20 # 搭建了nfs的服务器ip
- name: NFS_PATH
value: /nfs-client-provisioner # 存储pvc数据的主目录
volumes:
- name: nfs-client-root
nfs:
server: 192.168.233.20 # 搭建了nfs的服务器ip
path: /nfs-client-provisioner # 存储pvc数据的主目录
bash
kubectl create -f nfs-class.yamlnfs-class.yaml
javascript
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: managed-nfs-storage
provisioner: fuseim.pri/ifs # deployment的PROVISIONER_NAME
parameters:
archiveOnDelete: "false"
bash
kubectl create -f nfs-rbac.yamlnfs-rbac.yaml
bash
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: nfs-client-provisioner-runner
rules:
- apiGroups: [""]
resources: ["persistentvolumes"]
verbs: ["get", "list", "watch", "create", "delete"]
- apiGroups: [""]
resources: ["persistentvolumeclaims"]
verbs: ["get", "list", "watch", "update"]
- apiGroups: [""]
resources: ["endpoints"]
verbs: ["get", "list", "watch", "create", "update", "patch"]
- apiGroups: ["storage.k8s.io"]
resources: ["storageclasses"]
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources: ["events"]
verbs: ["create", "update", "patch"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: run-nfs-client-provisioner
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
namespace: default
roleRef:
kind: ClusterRole
name: nfs-client-provisioner-runner
apiGroup: rbac.authorization.k8s.io
---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: leader-locking-nfs-client-provisioner
rules:
- apiGroups: [""]
resources: ["endpoints"]
verbs: ["get", "list", "watch", "create", "update", "patch"]
---
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: leader-locking-nfs-client-provisioner
subjects:
- kind: ServiceAccount
name: nfs-client-provisioner
# replace with namespace where provisioner is deployed
namespace: default
roleRef:
kind: Role
name: leader-locking-nfs-client-provisioner
apiGroup: rbac.authorization.k8s.io3. 部署mysql
3.1 k8s部署mysql8
仅master节点执行
bash
kubectl create -f mysql-pro.ymlmysql-pro.yml
javascript
apiVersion: v1
kind: ConfigMap
metadata:
name: mysql8-cnf
data:
my.cnf: |
[mysqld]
# mysql的配置文件
# Remove leading # and set to the amount of RAM for the most important data
# cache in MySQL. Start at 70% of total RAM for dedicated server, else 10%.
# innodb_buffer_pool_size = 128M
#
# Remove leading # to turn on a very important data integrity option: logging
# changes to the binary log between backups.
# log_bin
#
# Remove leading # to set options mainly useful for reporting servers.
# The server defaults are faster for transactions and fast SELECTs.
# Adjust sizes as needed, experiment to find the optimal values.
# join_buffer_size = 128M
# sort_buffer_size = 2M
# read_rnd_buffer_size = 2M
host-cache-size=0
skip-name-resolve
datadir=/var/lib/mysql
socket=/var/run/mysqld/mysqld.sock
secure-file-priv=/var/lib/mysql-files
user=mysql
mysql_native_password=ON
pid-file=/var/run/mysqld/mysqld.pid
[client]
socket=/var/run/mysqld/mysqld.sock
!includedir /etc/mysql/conf.d/
---
apiVersion: v1
kind: ReplicationController
metadata:
name: mysql-pro
labels:
name: mysql-pro
spec:
replicas: 1
selector:
name: mysql-pro
template:
metadata:
labels:
name: mysql-pro
spec:
containers:
- name: mysql-pro
image: mysql:8
ports:
- containerPort: 3306
volumeMounts:
- name: mysql-data
mountPath: /var/lib/mysql # 映射mysql目录实现持久化
- name: mysql-mycnf
mountPath: /etc/my.cnf # 映射配置文件
subPath: "my.cnf"
env:
- name: MYSQL_ROOT_PASSWORD
value: "123456" # root的密码
# 如果只创建1个数据库1个mysql账号，可以配置这几个参数，比较省事，如果按我的步骤做的话，删掉
# - name: MYSQL_DATABASE
# value: "demo2"
# - name: MYSQL_USER
# value: "demo2"
# - name: MYSQL_PASSWORD
# value: "123456"
volumes:
- name: mysql-data # 和volumeMounts的name要对应
nfs:
server: 192.168.233.20 # mysql数据储存的映射，用的nfs服务器，通过nfs服务器的映射，记得都要先创建好对应的目录
path: /data/mysql-pro
- name: mysql-mycnf
configMap:
name: mysql8-cnf # 配置文件用configMap的形式映射，就是最上面那个configMap
---
apiVersion: v1
kind: Service
metadata:
name: mysql-pro
labels:
name: mysql-pro
spec:
ports:
- port: 3306
targetPort: 3306
nodePort: 30004 # 仅type: NodePort才加，范围是30000-32767，和别的service不要重复
selector:
name: mysql-pro
type: NodePort # 默认是ClusterIP，集群外无法访问，NodePort会提供外网访问的端口3.2 创建nacos要用的数据库
仅master节点执行
nacos的储存方式可以使用file，我这使用的是数据库储存，以此为例，你们能自己创建需要的mysql账号、数据库、还有赋权
mysql创建好后用以下命令查看mysql pod的名字
bash
kubectl get pods显示的结果
bash
NAME READY STATUS RESTARTS AGE
mysql-pro-twkc9 1/1 Running 2 2d4h
nfs-client-provisioner-5864f57757-vc9g4 1/1 Running 2 2d4h进入到mysql容器中
bash
kubectl exec -it mysql-pro-twkc9 /bin/bash进去后左侧会变成bash-5.1#
输入mysql -uroot -p 回车，然后输入3.1yml里配置的root用户的密码，就能进到mysql了
然后创建数据库，创建数据库用户，给数据库赋予数据库权限，这些就是mysql的一些基础操作了，我就不过多叙述了，其中要注意的是，我用的镜像是mysql8的默认密码使用的是caching_sha2_password进行加密，会导致navicat连不上mysql，所以创建用户时指定密码使用mysql_native_password类型，这步操作完就可以正常使用navicat连进去了，剩下的操作就可以在你熟悉的navicat里进行了
创建nacos数据库所需的表
sql
/* https://github.com/alibaba/nacos/blob/master/distribution/conf/nacos-mysql.sql */
CREATE TABLE IF NOT EXISTS `config_info` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id',
`data_id` varchar(255) NOT NULL COMMENT 'data_id',
`group_id` varchar(255) DEFAULT NULL,
`content` longtext NOT NULL COMMENT 'content',
`md5` varchar(32) DEFAULT NULL COMMENT 'md5',
`gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间',
`src_user` text COMMENT 'source user',
`src_ip` varchar(50) DEFAULT NULL COMMENT 'source ip',
`app_name` varchar(128) DEFAULT NULL,
`tenant_id` varchar(128) DEFAULT '' COMMENT '租户字段',
`c_desc` varchar(256) DEFAULT NULL,
`c_use` varchar(64) DEFAULT NULL,
`effect` varchar(64) DEFAULT NULL,
`type` varchar(64) DEFAULT NULL,
`c_schema` text,
PRIMARY KEY (`id`),
UNIQUE KEY `uk_configinfo_datagrouptenant` (`data_id`,`group_id`,`tenant_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='config_info';
CREATE TABLE IF NOT EXISTS `config_info_aggr` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id',
`data_id` varchar(255) NOT NULL COMMENT 'data_id',
`group_id` varchar(255) NOT NULL COMMENT 'group_id',
`datum_id` varchar(255) NOT NULL COMMENT 'datum_id',
`content` longtext NOT NULL COMMENT '内容',
`gmt_modified` datetime NOT NULL COMMENT '修改时间',
`app_name` varchar(128) DEFAULT NULL,
`tenant_id` varchar(128) DEFAULT '' COMMENT '租户字段',
PRIMARY KEY (`id`),
UNIQUE KEY `uk_configinfoaggr_datagrouptenantdatum` (`data_id`,`group_id`,`tenant_id`,`datum_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='增加租户字段';
CREATE TABLE IF NOT EXISTS `config_info_beta` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id',
`data_id` varchar(255) NOT NULL COMMENT 'data_id',
`group_id` varchar(128) NOT NULL COMMENT 'group_id',
`app_name` varchar(128) DEFAULT NULL COMMENT 'app_name',
`content` longtext NOT NULL COMMENT 'content',
`beta_ips` varchar(1024) DEFAULT NULL COMMENT 'betaIps',
`md5` varchar(32) DEFAULT NULL COMMENT 'md5',
`gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间',
`src_user` text COMMENT 'source user',
`src_ip` varchar(50) DEFAULT NULL COMMENT 'source ip',
`tenant_id` varchar(128) DEFAULT '' COMMENT '租户字段',
PRIMARY KEY (`id`),
UNIQUE KEY `uk_configinfobeta_datagrouptenant` (`data_id`,`group_id`,`tenant_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='config_info_beta';
CREATE TABLE IF NOT EXISTS `config_info_tag` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id',
`data_id` varchar(255) NOT NULL COMMENT 'data_id',
`group_id` varchar(128) NOT NULL COMMENT 'group_id',
`tenant_id` varchar(128) DEFAULT '' COMMENT 'tenant_id',
`tag_id` varchar(128) NOT NULL COMMENT 'tag_id',
`app_name` varchar(128) DEFAULT NULL COMMENT 'app_name',
`content` longtext NOT NULL COMMENT 'content',
`md5` varchar(32) DEFAULT NULL COMMENT 'md5',
`gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间',
`src_user` text COMMENT 'source user',
`src_ip` varchar(50) DEFAULT NULL COMMENT 'source ip',
PRIMARY KEY (`id`),
UNIQUE KEY `uk_configinfotag_datagrouptenanttag` (`data_id`,`group_id`,`tenant_id`,`tag_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='config_info_tag';
CREATE TABLE IF NOT EXISTS `config_tags_relation` (
`id` bigint(20) NOT NULL COMMENT 'id',
`tag_name` varchar(128) NOT NULL COMMENT 'tag_name',
`tag_type` varchar(64) DEFAULT NULL COMMENT 'tag_type',
`data_id` varchar(255) NOT NULL COMMENT 'data_id',
`group_id` varchar(128) NOT NULL COMMENT 'group_id',
`tenant_id` varchar(128) DEFAULT '' COMMENT 'tenant_id',
`nid` bigint(20) NOT NULL AUTO_INCREMENT,
PRIMARY KEY (`nid`),
UNIQUE KEY `uk_configtagrelation_configidtag` (`id`,`tag_name`,`tag_type`),
KEY `idx_tenant_id` (`tenant_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='config_tag_relation';
CREATE TABLE IF NOT EXISTS `group_capacity` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '主键ID',
`group_id` varchar(128) NOT NULL DEFAULT '' COMMENT 'Group ID，空字符表示整个集群',
`quota` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '配额，0表示使用默认值',
`usage` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '使用量',
`max_size` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '单个配置大小上限，单位为字节，0表示使用默认值',
`max_aggr_count` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '聚合子配置最大个数，，0表示使用默认值',
`max_aggr_size` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '单个聚合数据的子配置大小上限，单位为字节，0表示使用默认值',
`max_history_count` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '最大变更历史数量',
`gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间',
PRIMARY KEY (`id`),
UNIQUE KEY `uk_group_id` (`group_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='集群、各Group容量信息表';
CREATE TABLE IF NOT EXISTS `his_config_info` (
`id` bigint(64) unsigned NOT NULL,
`nid` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`data_id` varchar(255) NOT NULL,
`group_id` varchar(128) NOT NULL,
`app_name` varchar(128) DEFAULT NULL COMMENT 'app_name',
`content` longtext NOT NULL,
`md5` varchar(32) DEFAULT NULL,
`gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`src_user` text,
`src_ip` varchar(50) DEFAULT NULL,
`op_type` char(10) DEFAULT NULL,
`tenant_id` varchar(128) DEFAULT '' COMMENT '租户字段',
PRIMARY KEY (`nid`),
KEY `idx_gmt_create` (`gmt_create`),
KEY `idx_gmt_modified` (`gmt_modified`),
KEY `idx_did` (`data_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='多租户改造';
CREATE TABLE IF NOT EXISTS `tenant_capacity` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '主键ID',
`tenant_id` varchar(128) NOT NULL DEFAULT '' COMMENT 'Tenant ID',
`quota` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '配额，0表示使用默认值',
`usage` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '使用量',
`max_size` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '单个配置大小上限，单位为字节，0表示使用默认值',
`max_aggr_count` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '聚合子配置最大个数',
`max_aggr_size` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '单个聚合数据的子配置大小上限，单位为字节，0表示使用默认值',
`max_history_count` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '最大变更历史数量',
`gmt_create` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`gmt_modified` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间',
PRIMARY KEY (`id`),
UNIQUE KEY `uk_tenant_id` (`tenant_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='租户容量信息表';
CREATE TABLE IF NOT EXISTS `tenant_info` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id',
`kp` varchar(128) NOT NULL COMMENT 'kp',
`tenant_id` varchar(128) default '' COMMENT 'tenant_id',
`tenant_name` varchar(128) default '' COMMENT 'tenant_name',
`tenant_desc` varchar(256) DEFAULT NULL COMMENT 'tenant_desc',
`create_source` varchar(32) DEFAULT NULL COMMENT 'create_source',
`gmt_create` bigint(20) NOT NULL COMMENT '创建时间',
`gmt_modified` bigint(20) NOT NULL COMMENT '修改时间',
PRIMARY KEY (`id`),
UNIQUE KEY `uk_tenant_info_kptenantid` (`kp`,`tenant_id`),
KEY `idx_tenant_id` (`tenant_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='tenant_info';
CREATE TABLE IF NOT EXISTS `users` (
`username` varchar(50) NOT NULL PRIMARY KEY,
`password` varchar(500) NOT NULL,
`enabled` boolean NOT NULL
);
CREATE TABLE IF NOT EXISTS `roles` (
`username` varchar(50) NOT NULL,
`role` varchar(50) NOT NULL,
UNIQUE INDEX `idx_user_role` (`username` ASC, `role` ASC) USING BTREE
);
CREATE TABLE IF NOT EXISTS `permissions` (
`role` varchar(50) NOT NULL,
`resource` varchar(255) NOT NULL,
`action` varchar(8) NOT NULL,
UNIQUE INDEX `uk_role_permission` (`role`,`resource`,`action`) USING BTREE
);4. 部署nacos
Kubernetes Nacos | Nacos 官网 这里是官网api
4.1 下载nacos
仅master节点执行
下载nacos项目，部署所需的yml文件在 ./deploy里，我这会把yml文件的内容发出来，不下也行
bash
git clone https://github.com/nacos-group/nacos-k8s.git根据官网的内容，我这选用的是nfs+mysql的部署方式，nfs和mysql在前面都已经搭建好了
4.2 k8s部署nacos
仅master节点执行
bash
kubectl create -f nacos-pvc-nfs.yamlnacos-pvc-nfs.yaml
javascript
# 请阅读Wiki文章
# https://github.com/nacos-group/nacos-k8s/wiki/%E4%BD%BF%E7%94%A8peerfinder%E6%89%A9%E5%AE%B9%E6%8F%92%E4%BB%B6
---
apiVersion: v1 # service不用改
kind: Service
metadata:
name: nacos-headless
labels:
app: nacos
spec:
publishNotReadyAddresses: true
ports:
- port: 8848
name: server
targetPort: 8848
- port: 9848
name: client-rpc
targetPort: 9848
- port: 9849
name: raft-rpc
targetPort: 9849
## 兼容1.4.x版本的选举端口
- port: 7848
name: old-raft-rpc
targetPort: 7848
clusterIP: None
selector:
app: nacos
---
apiVersion: v1
kind: ConfigMap
metadata:
name: nacos-cm
data:
mysql.host: "mysql-pro" # 我们上面部署mysql的service的name
mysql.db.name: "nacos" # 3.2里创建的数据库名、账号密码
mysql.port: "3306" # mysql的service的端口
mysql.user: "nacosuser"
mysql.password: "123456"
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: nacos
spec:
podManagementPolicy: Parallel
serviceName: nacos-headless
replicas: 3
template:
metadata:
labels:
app: nacos
annotations:
pod.alpha.kubernetes.io/initialized: "true"
spec:
affinity:
podAntiAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
- labelSelector:
matchExpressions:
- key: "app"
operator: In
values:
- nacos
topologyKey: "kubernetes.io/hostname"
serviceAccountName: nfs-client-provisioner
initContainers:
- name: peer-finder-plugin-install
image: nacos/nacos-peer-finder-plugin:1.1
imagePullPolicy: IfNotPresent
volumeMounts:
- mountPath: /home/nacos/plugins/peer-finder
name: data
subPath: peer-finder
containers:
- name: nacos
imagePullPolicy: IfNotPresent
image: nacos/nacos-server:2.2.3
resources:
requests:
memory: "2Gi"
cpu: "500m"
ports:
- containerPort: 8848
name: client-port
- containerPort: 9848
name: client-rpc
- containerPort: 9849
name: raft-rpc
- containerPort: 7848
name: old-raft-rpc
env:
- name: NACOS_REPLICAS
value: "3"
- name: SERVICE_NAME
value: "nacos-headless"
- name: DOMAIN_NAME
value: "cluster.local"
- name: POD_NAMESPACE
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.namespace
- name: MYSQL_SERVICE_HOST
valueFrom:
configMapKeyRef:
name: nacos-cm
key: mysql.host
- name: MYSQL_SERVICE_DB_NAME
valueFrom:
configMapKeyRef:
name: nacos-cm
key: mysql.db.name
- name: MYSQL_SERVICE_PORT
valueFrom:
configMapKeyRef:
name: nacos-cm
key: mysql.port
- name: MYSQL_SERVICE_USER
valueFrom:
configMapKeyRef:
name: nacos-cm
key: mysql.user
- name: MYSQL_SERVICE_PASSWORD
valueFrom:
configMapKeyRef:
name: nacos-cm
key: mysql.password
- name: SPRING_DATASOURCE_PLATFORM
value: "mysql"
- name: NACOS_SERVER_PORT
value: "8848"
- name: NACOS_APPLICATION_PORT
value: "8848"
- name: PREFER_HOST_MODE
value: "hostname"
volumeMounts:
- name: data
mountPath: /home/nacos/plugins/peer-finder
subPath: peer-finder
- name: data
mountPath: /home/nacos/data
subPath: data
- name: data
mountPath: /home/nacos/logs
subPath: logs
volumeClaimTemplates:
- metadata:
name: data
annotations:
volume.beta.kubernetes.io/storage-class: "managed-nfs-storage" # 创建nfs-client-provisioner时其中有一步创建的class的名称，nfs-client-provisioner会自动创建pvc上面映射的3个目录都会自动创建
spec:
accessModes: [ "ReadWriteMany" ]
resources:
requests:
storage: 20Gi
selector:
matchLabels:
app: nacos运行完后虽然我们replicas设置了3个，但是我们只有一个节点，nacos的官方默认配置是需要0.5个cpu核心2G内存，我的虚拟机资源没配那么多，所以实际只会创建1个nacos pod，其他为pending状态
4.3 通过nginx代理nacos控制台
仅master节点执行
nginx我打算用deployment创建，先在nfs共享目录下创建需要用到的目录，我这是/data/nfs你们进到你们的nfs目录下
bash
mkdir nginx
mkdir nginx/conf
mkdir nginx/html在nginx/conf里先准备好nginx的配置文件nginx.conf，mime.type随便下个nginx都有，你们自己拷下，文章已经够长了，没用的尽量不发，随便下个nginx把mine.type也拷到nginx/conf中
nginx.conf
javascript
worker_processes 1;
events {
worker_connections 1024;
}
http {
include mime.types;
default_type application/octet-stream;
sendfile on;
keepalive_timeout 65;
#gzip on;
server {
listen 80;
server_name localhost;
location /nacos {
proxy_pass http://nacos-headless:8848; # nacos service的名字
}
location / {
root html;
index index.html index.htm; # 预留部署前端项目用，容器中的html文件夹我会映射到nfs上的nginx/html，前端项目可以直接放在这个文件夹中
}
error_page 500 502 503 504 /50x.html;
location = /50x.html {
root html;
}
}
}准备好后，就可以部署k8s的nginx了，用deployment的方式部署，使用nodePort service对外开放服务
bash
kubectl create -f kube-nginx.yamlkube-nginx.yaml
javascript
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 2
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.20.2 # 使用nginx镜像的1.20.2版本
ports:
- containerPort: 80 # 容器开放80接口
volumeMounts:
- name: web-nginx-config
mountPath: /etc/nginx
- name: web-nginx-front
mountPath: /usr/share/nginx/html
volumes:
- name: web-nginx-config
nfs:
server: 192.168.233.20
path: /nginx/conf
- name: web-nginx-front
nfs:
server: 192.168.233.20
path: /nginx/html
---
apiVersion: v1
kind: Service
metadata:
name: nginx-service
spec:
selector:
app: nginx
ports:
- port: 80 #service提供的虚拟端口,用于映射pod中容器的真实端口
nodePort: 30001 # 集群对外开放的接口
protocol: TCP
name: nginx-in #端口的名称,用于释义
targetPort: 80 #容器对外暴露的端口,如果没有指定targetPort,则默认targetPort与port相同
type: NodePort # 外部访问的负载均衡器方式
nginx部署成功后，外部就能通过ip和端口访问到nacos的前端了
bash
http://192.168.233.20:30001/nacos/index.html或
bash
http://192.168.233.21:30001/nacos/index.html
5. 部署seata
5.1 创建seata数据库
仅master节点执行
通过3.2的方法创建seata数据库、seata账号并授权，下面5.2里的configMap里数据库名还有账号密码记得改
弄好后，用navicat执行sql语句，seata语句库执行下面的语句
sql
-- -------------------------------- The script used when storeMode is 'db' --------------------------------
-- the table to store GlobalSession data
CREATE TABLE IF NOT EXISTS `global_table`
(
`xid` VARCHAR(128) NOT NULL,
`transaction_id` BIGINT,
`status` TINYINT NOT NULL,
`application_id` VARCHAR(32),
`transaction_service_group` VARCHAR(32),
`transaction_name` VARCHAR(128),
`timeout` INT,
`begin_time` BIGINT,
`application_data` VARCHAR(2000),
`gmt_create` DATETIME,
`gmt_modified` DATETIME,
PRIMARY KEY (`xid`),
KEY `idx_status_gmt_modified` (`status` , `gmt_modified`),
KEY `idx_transaction_id` (`transaction_id`)
) ENGINE = InnoDB
DEFAULT CHARSET = utf8mb4;
-- the table to store BranchSession data
CREATE TABLE IF NOT EXISTS `branch_table`
(
`branch_id` BIGINT NOT NULL,
`xid` VARCHAR(128) NOT NULL,
`transaction_id` BIGINT,
`resource_group_id` VARCHAR(32),
`resource_id` VARCHAR(256),
`branch_type` VARCHAR(8),
`status` TINYINT,
`client_id` VARCHAR(64),
`application_data` VARCHAR(2000),
`gmt_create` DATETIME(6),
`gmt_modified` DATETIME(6),
PRIMARY KEY (`branch_id`),
KEY `idx_xid` (`xid`)
) ENGINE = InnoDB
DEFAULT CHARSET = utf8mb4;
-- the table to store lock data
CREATE TABLE IF NOT EXISTS `lock_table`
(
`row_key` VARCHAR(128) NOT NULL,
`xid` VARCHAR(128),
`transaction_id` BIGINT,
`branch_id` BIGINT NOT NULL,
`resource_id` VARCHAR(256),
`table_name` VARCHAR(32),
`pk` VARCHAR(36),
`status` TINYINT NOT NULL DEFAULT '0' COMMENT '0:locked ,1:rollbacking',
`gmt_create` DATETIME,
`gmt_modified` DATETIME,
PRIMARY KEY (`row_key`),
KEY `idx_status` (`status`),
KEY `idx_branch_id` (`branch_id`),
KEY `idx_xid` (`xid`)
) ENGINE = InnoDB
DEFAULT CHARSET = utf8mb4;
CREATE TABLE IF NOT EXISTS `distributed_lock`
(
`lock_key` CHAR(20) NOT NULL,
`lock_value` VARCHAR(20) NOT NULL,
`expire` BIGINT,
primary key (`lock_key`)
) ENGINE = InnoDB
DEFAULT CHARSET = utf8mb4;
INSERT INTO `distributed_lock` (lock_key, lock_value, expire) VALUES ('AsyncCommitting', ' ', 0);
INSERT INTO `distributed_lock` (lock_key, lock_value, expire) VALUES ('RetryCommitting', ' ', 0);
INSERT INTO `distributed_lock` (lock_key, lock_value, expire) VALUES ('RetryRollbacking', ' ', 0);
INSERT INTO `distributed_lock` (lock_key, lock_value, expire) VALUES ('TxTimeoutCheck', ' ', 0);连接seata的spring cloud服务，执行以下语句
sql
CREATE TABLE `undo_log` (
`branch_id` bigint NOT NULL COMMENT 'branch transaction id',
`xid` varchar(128) NOT NULL COMMENT 'global transaction id',
`context` varchar(128) NOT NULL COMMENT 'undo_log context,such as serialization',
`rollback_info` longblob NOT NULL COMMENT 'rollback info',
`log_status` int NOT NULL COMMENT '0:normal status,1:defense status',
`log_created` datetime(6) NOT NULL COMMENT 'create datetime',
`log_modified` datetime(6) NOT NULL COMMENT 'modify datetime',
UNIQUE KEY `ux_undo_log` (`xid`,`branch_id`),
KEY `ix_log_created` (`log_created`)
) ENGINE=InnoDB COMMENT='AT transaction mode undo table';5.2 k8s部署seata
仅master节点执行
我这seata用at模式部署，注册中心、配置中心用nacos，存储方式用的mysql
bash
kubectl create -f kube-seata.ymlkube-seata.yml
html
apiVersion: v1
kind: ConfigMap
metadata:
name: seata-server-config
namespace: default
data:
application.yml: |
server:
port: 7091
spring:
application:
name: seata-server
logging:
config: classpath:logback-spring.xml
file:
path: ${user.home}/logs/seata
extend:
logstash-appender:
destination: 127.0.0.1:4560
kafka-appender:
bootstrap-servers: 127.0.0.1:9092
topic: logback_to_logstash
console:
user:
username: seata
password: seata
seata:
config:
# support: nacos, consul, apollo, zk, etcd3
type: nacos
nacos:
server-addr: nacos-headless:8848 # nacos service的名字
namespace:
group: SEATA_GROUP
username:
password:
context-path:
registry:
# support: nacos, eureka, redis, zk, consul, etcd3, sofa
type: nacos
nacos:
application: seata-server
server-addr: nacos-headless:8848
group: SEATA_GROUP
namespace:
cluster: default
username:
password:
context-path:
store:
# support: file 、 db 、 redis
mode: db
db:
datasource: druid
db-type: mysql
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://mysql-pro:3306/seata?rewriteBatchedStatements=true # mysql service的名字
user: demo2
password: 123456
min-conn: 10
max-conn: 100
global-table: global_table
branch-table: branch_table
lock-table: lock_table
distributed-lock-table: distributed_lock
query-limit: 1000
max-wait: 5000
# server:
# service-port: 8091 #If not configured, the default is '${server.port} + 1000'
security:
secretKey: SeataSecretKey0c382ef121d778043159209298fd40bf3850a017
tokenValidityInMilliseconds: 1800000
ignore:
urls: /,/**/*.css,/**/*.js,/**/*.html,/**/*.map,/**/*.svg,/**/*.png,/**/*.ico,/console-fe/public/**,/api/v1/auth/login
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: seata-server
namespace: default
labels:
k8s-app: seata-server
spec:
replicas: 1
selector:
matchLabels:
k8s-app: seata-server
template:
metadata:
labels:
k8s-app: seata-server
spec:
containers:
- name: seata-server
image: docker.io/seataio/seata-server:1.6.1
imagePullPolicy: IfNotPresent
ports:
- name: http-7091
containerPort: 7091
protocol: TCP
- name: http-8091
containerPort: 8091
protocol: TCP
volumeMounts:
- name: seata-config
mountPath: /seata-server/resources/application.yml
subPath: application.yml
volumes:
- name: seata-config
configMap:
name: seata-server-config
---
apiVersion: v1
kind: Service
metadata:
name: seata-server
namespace: default
labels:
k8s-app: seata-server
spec:
ports:
- port: 8091
protocol: TCP
name: seata-8091
- port: 7091
protocol: TCP
name: seata-7091
selector:
k8s-app: seata-server6. 部署java项目
我这只举个例子，你们可以按照自己的需求修改
6.1 制作cloud alibaba的docker容器
仅node节点执行
这句命令不懂的话，可以去看我上篇讲docker的文章
centos8安装docker运行java文件_centos8 docker安装java8-CSDN博客
把cloud-alibaba-gateway8000-1.0-SNAPSHOT.jar和ali-gateway.dockerfile放在同个目录，然后执行下面的语句
bash
docker build -f ali-gateway.dockerfile -t ali-cloud-gateway:latest .ali-gateway.dockerfile
javascript
FROM openjdk:8
RUN mkdir /usr/local/project
ADD cloud-alibaba-gateway8000-1.0-SNAPSHOT.jar /usr/local/project/cloud-alibaba-gateway8000-1.0-SNAPSHOT.jar
EXPOSE 8000
ENTRYPOINT ["java","-jar","/usr/local/project/cloud-alibaba-gateway8000-1.0-SNAPSHOT.jar"]运行后查看镜像是否创建成功了
6.2 部署ali-cloud-gateway
仅master节点执行
gateway是spring cloud服务的入口，所以要用service暴露端口访问，如果部署其他项目，可以把service的部分删掉，我这省事用Deployment，正常Deployment比较适用于单项目的部署，cloud项目比较适合用statefulset部署，方便日志文件的收集，statefulset可以参照4.2部署nacos的方式修改
bash
kubectl create -f ali-cloud-gateway.ymlali-cloud-gateway.yml
javascript
apiVersion: apps/v1
kind: Deployment
metadata:
name: ali-cloud-gateway-deployment
spec:
replicas: 1
selector:
matchLabels:
app: ali-cloud-gateway
template:
metadata:
labels:
app: ali-cloud-gateway
spec:
containers:
- name: ali-cloud-gateway
image: ali-cloud-gateway:latest
ports:
- containerPort: 8000
---
apiVersion: v1
kind: Service
metadata:
name: ali-cloud-gateway-svc
spec:
selector:
app: ali-cloud-gateway
ports:
- port: 8000 #service提供的虚拟端口,用于映射pod中容器的真实端口
protocol: TCP
name: ali-cloud-gateway-svc #端口的名称,用于释义
targetPort: 8000 #容器对外暴露的端口,如果没有指定targetPort,则默认targetPort与port相同
nodePort: 30005
type: NodePort
通过gateway暴露的端口进行访问，成功访问到项目
6.3 部署sentinel
仅node节点执行
sentinel也就一个jar，部署方式和6.2类似，稍微提一下
bash
docker build -f sentinel.dockerfile -t sentinel:1.8.6 .sentinel.dockerfile
javascript
FROM openjdk:8
RUN mkdir /usr/local/project
ADD sentinel-dashboard-1.8.6.jar /usr/local/project/sentinel-dashboard-1.8.6.jar
EXPOSE 8080
EXPOSE 8719
ENTRYPOINT ["java","-Dserver.port=8080","-Dcsp.sentinel.dashboard.server=localhost:8080","-Dproject.name=sentinel-dashboard","-jar","/usr/local/project/sentinel-dashboard-1.8.6.jar"]仅master节点执行
开放sentinel前端访问的话，可以参考4.3nginx代理nacos的方法
bash
kubectl create -f kube-sentinel.ymlkube-sentinel.yml
javascript
apiVersion: apps/v1
kind: Deployment
metadata:
name: sentinel-deployment
spec:
replicas: 1
selector:
matchLabels:
app: sentinel
template:
metadata:
labels:
app: sentinel
spec:
containers:
- name: sentinel
image: sentinel:1.8.6
ports:
- containerPort: 8080
- containerPort: 8719
---
apiVersion: v1
kind: Service
metadata:
name: sentinel-front
spec:
selector:
app: sentinel
ports:
- port: 8080 #service提供的虚拟端口,用于映射pod中容器的真实端口
protocol: TCP
name: sentinel-front #端口的名称,用于释义
targetPort: 8080 #容器对外暴露的端口,如果没有指定targetPort,则默认targetPort与port相同
- port: 8719
protocol: TCP
name: sentinel-service至此部署整个项目所需的知识都在这了，其中有些重复的步骤，我有标明在哪个地方有，可以尝试着自己做做，巩固下知识