安装

官方：https://github.com/kubernetes-sigs/kube-batch

下载镜像

安装

官方：https://github.com/kubernetes-sigs/kube-batch

下载镜像

使用v0.5

docker pull kubesigs/kube-batch:v0.5

两种安装方式

  • 第一种：使用yaml安装
  • 第二种：使用helm安装

第一种：使用yaml 安装方式

【Step1】创建 CRD

kubectl create -f scheduling_v1alpha1_podgroup.yaml

kubectl create -f scheduling_v1alpha2_podgroup.yaml

kubectl create -f scheduling_v1alpha1_queue.yaml

kubectl create -f scheduling_v1alpha2_queue.yaml

scheduling_v1alpha1_podgroup.yaml

 apiVersion: apiextensions.k8s.io/v1beta1

kind: CustomResourceDefinition

metadata:

  name: podgroups.scheduling.incubator.k8s.io

  annotations:

    "helm.sh/hook": "crd-install"

spec:

  group: scheduling.incubator.k8s.io

  names:

    kind: PodGroup

    plural: podgroups

  scope: Namespaced

  validation:

    openAPIV3Schema:

      properties:

        apiVersion:

          type: string

        kind:

          type: string

        metadata:

          type: object

        spec:

          properties:

            minMember:

              format: int32

              type: integer

            queue:

              type: string

            priorityClassName:

              type: string

          type: object

        status:

          properties:

            succeeded:

              format: int32

              type: integer

            failed:

              format: int32

              type: integer

            running:

              format: int32

              type: integer

          type: object

      type: object

  version: v1alpha1

scheduling_v1alpha2_podgroup.yaml

apiVersion: apiextensions.k8s.io/v1beta1

kind: CustomResourceDefinition

metadata:

  name: podgroups.scheduling.sigs.dev

spec:

  group: scheduling.sigs.dev

  names:

    kind: PodGroup

    plural: podgroups

  scope: Namespaced

  validation:

    openAPIV3Schema:

      properties:

        apiVersion:

          type: string

        kind:

          type: string

        metadata:

          type: object

        spec:

          properties:

            minMember:

              format: int32

              type: integer

            queue:

              type: string

            priorityClassName:

              type: string

          type: object

        status:

          properties:

            succeeded:

              format: int32

              type: integer

            failed:

              format: int32

              type: integer

            running:

              format: int32

              type: integer

          type: object

      type: object

  version: v1alpha2

scheduling_v1alpha1_queue.yaml

apiVersion: apiextensions.k8s.io/v1beta1

kind: CustomResourceDefinition

metadata:

  name: queues.scheduling.incubator.k8s.io

  annotations:

    "helm.sh/hook": "crd-install"

spec:

  group: scheduling.incubator.k8s.io

  names:

    kind: Queue

    plural: queues

  scope: Cluster

  validation:

    openAPIV3Schema:

      properties:

        apiVersion:

          type: string

        kind:

          type: string

        metadata:

          type: object

        spec:

          properties:

            weight:

              format: int32

              type: integer

          type: object

      type: object

  version: v1alpha1

scheduling_v1alpha2_queue.yaml

apiVersion: apiextensions.k8s.io/v1beta1

kind: CustomResourceDefinition

metadata:

  name: queues.scheduling.sigs.dev

spec:

  group: scheduling.sigs.dev

  names:

    kind: Queue

    plural: queues

  scope: Cluster

  validation:

    openAPIV3Schema:

      properties:

        apiVersion:

          type: string

        kind:

          type: string

        metadata:

          type: object

        spec:

          properties:

            weight:

              format: int32

              type: integer

          type: object

        status:

          properties:

            unknown:

              format: int32

              type: integer

            pending:

              format: int32

              type: integer

            running:

              format: int32

              type: integer

          type: object

      type: object

  version: v1alpha2

【Step2】 创建deployment

kubectl create -f deployment.yaml

deployment.yaml

apiVersion: apps/v1

kind: Deployment

metadata:

  name: kube-batch

  labels:

    chart: kube-batch-kube-batch

spec:

  replicas: 1

  selector:

    matchLabels:

      app: kube-batch

  template:

    metadata:

      labels:

        app: kube-batch

    spec:

      containers:

      - name: kube-batch

        image: 10.220.54.6:8088/kuai/kube-batch:v0.5

        args: ["--logtostderr", "--v", "3"]

        imagePullPolicy: IfNotPresent

        resources:

          limits:

            cpu: 2000m

            memory: 2048Mi

          requests:

            cpu: 2000m

            memory: 2048Mi

【Step3】创建Queue

apiVersion: scheduling.incubator.k8s.io/v1alpha1

kind: Queue

metadata:

  name: default

spec:

  weight: 1

第二种：使用helm 安装方式

【Step1】 下载kube-batch

#mkdir -p $GOPATH/src/github.com/kubernetes-sigs/

#cd $GOPATH/src/github.com/kubernetes-sigs/

#git clone http://github.com/kubernetes-sigs/kube-batch

【Step2】通过helm部署kube-batch

#helm install $GOPATH/src/github.com/kubernetes-sigs/kube-batch/deployment/kube-batch --namespace kube-system

【Step3】查看是否安装成功后

#helm list

使用v0.5

docker pull kubesigs/kube-batch:v0.5

两种安装方式

  • 第一种：使用yaml安装
  • 第二种：使用helm安装

第一种：使用yaml 安装方式

【Step1】创建 CRD

kubectl create -f scheduling_v1alpha1_podgroup.yaml

kubectl create -f scheduling_v1alpha2_podgroup.yaml

kubectl create -f scheduling_v1alpha1_queue.yaml

kubectl create -f scheduling_v1alpha2_queue.yaml

scheduling_v1alpha1_podgroup.yaml

 apiVersion: apiextensions.k8s.io/v1beta1

kind: CustomResourceDefinition

metadata:

  name: podgroups.scheduling.incubator.k8s.io

  annotations:

    "helm.sh/hook": "crd-install"

spec:

  group: scheduling.incubator.k8s.io

  names:

    kind: PodGroup

    plural: podgroups

  scope: Namespaced

  validation:

    openAPIV3Schema:

      properties:

        apiVersion:

          type: string

        kind:

          type: string

        metadata:

          type: object

        spec:

          properties:

            minMember:

              format: int32

              type: integer

            queue:

              type: string

            priorityClassName:

              type: string

          type: object

        status:

          properties:

            succeeded:

              format: int32

              type: integer

            failed:

              format: int32

              type: integer

            running:

              format: int32

              type: integer

          type: object

      type: object

  version: v1alpha1

scheduling_v1alpha2_podgroup.yaml

apiVersion: apiextensions.k8s.io/v1beta1

kind: CustomResourceDefinition

metadata:

  name: podgroups.scheduling.sigs.dev

spec:

  group: scheduling.sigs.dev

  names:

    kind: PodGroup

    plural: podgroups

  scope: Namespaced

  validation:

    openAPIV3Schema:

      properties:

        apiVersion:

          type: string

        kind:

          type: string

        metadata:

          type: object

        spec:

          properties:

            minMember:

              format: int32

              type: integer

            queue:

              type: string

            priorityClassName:

              type: string

          type: object

        status:

          properties:

            succeeded:

              format: int32

              type: integer

            failed:

              format: int32

              type: integer

            running:

              format: int32

              type: integer

          type: object

      type: object

  version: v1alpha2

scheduling_v1alpha1_queue.yaml

apiVersion: apiextensions.k8s.io/v1beta1

kind: CustomResourceDefinition

metadata:

  name: queues.scheduling.incubator.k8s.io

  annotations:

    "helm.sh/hook": "crd-install"

spec:

  group: scheduling.incubator.k8s.io

  names:

    kind: Queue

    plural: queues

  scope: Cluster

  validation:

    openAPIV3Schema:

      properties:

        apiVersion:

          type: string

        kind:

          type: string

        metadata:

          type: object

        spec:

          properties:

            weight:

              format: int32

              type: integer

          type: object

      type: object

  version: v1alpha1

scheduling_v1alpha2_queue.yaml

apiVersion: apiextensions.k8s.io/v1beta1

kind: CustomResourceDefinition

metadata:

  name: queues.scheduling.sigs.dev

spec:

  group: scheduling.sigs.dev

  names:

    kind: Queue

    plural: queues

  scope: Cluster

  validation:

    openAPIV3Schema:

      properties:

        apiVersion:

          type: string

        kind:

          type: string

        metadata:

          type: object

        spec:

          properties:

            weight:

              format: int32

              type: integer

          type: object

        status:

          properties:

            unknown:

              format: int32

              type: integer

            pending:

              format: int32

              type: integer

            running:

              format: int32

              type: integer

          type: object

      type: object

  version: v1alpha2

【Step2】 创建deployment

kubectl create -f deployment.yaml

deployment.yaml

apiVersion: apps/v1

kind: Deployment

metadata:

  name: kube-batch

  labels:

    chart: kube-batch-kube-batch

spec:

  replicas: 1

  selector:

    matchLabels:

      app: kube-batch

  template:

    metadata:

      labels:

        app: kube-batch

    spec:

      containers:

      - name: kube-batch

        image: 10.220.54.6:8088/kuai/kube-batch:v0.5

        args: ["--logtostderr", "--v", "3"]

        imagePullPolicy: IfNotPresent

        resources:

          limits:

            cpu: 2000m

            memory: 2048Mi

          requests:

            cpu: 2000m

            memory: 2048Mi

【Step3】创建Queue

apiVersion: scheduling.incubator.k8s.io/v1alpha1

kind: Queue

metadata:

  name: default

spec:

  weight: 1

第二种：使用helm 安装方式

【Step1】 下载kube-batch

#mkdir -p $GOPATH/src/github.com/kubernetes-sigs/

#cd $GOPATH/src/github.com/kubernetes-sigs/

#git clone http://github.com/kubernetes-sigs/kube-batch

【Step2】通过helm部署kube-batch

#helm install $GOPATH/src/github.com/kubernetes-sigs/kube-batch/deployment/kube-batch --namespace kube-system

【Step3】查看是否安装成功后

#helm list

kube-batch（一）安装的更多相关文章

  1. Linux下的计划任务at，batch，crontab

    0x00前言: 继上次的windows计划任务后,拓展研究下linux下的计划任务,能够执行计划任务有3个命令at,batch,crontab 所谓的计划任务就是定时启动某个程序,可以是一组shell ...

  2. ltib安装过程中遇到好多问题，从网上转来的好多份总结

    最近调试MPC5125的板子,第一步LTIB都装不过去,挫败感十足. LTIB的安装镜像来自于freescale的ltib-mpc5121ads-200906,是用于Ubuntu 10版本之前的,现在 ...

  3. kubernetes kubeadm安装v1.14

    1.我们这里准备两台Centos7的主机用于安装,后续节点可以根究需要添加即可:master node01两台都得改:cat /etc/hosts192.168.71.134 master192.16 ...

  4. 安装ssh-batch工具

    关于sshbatch sshbatch是用perl写了非常方便操作管理集群的一个工具,项目的源码在GitHub托管. 关于sshbatch以及其详细的使用方法,春哥在GitHub上介绍的非常详细了,详 ...

  5. linux(centos8):kubeadm单机安装kubernetes（kubernetes 1.18.3）

    一,kubernetes安装的准备工作: 1,准备工作的各步骤请参见: https://www.cnblogs.com/architectforest/p/13141743.html   2,  ma ...

  6. 在Ubuntu安装kubernetes

    一.安装Docker 1. 配置Docker docker安装完成后需要配置cgroup驱动为systemd来增强稳定性 sudo vim /etc/docker/daemon.json { &quo ...

  7. 关于Kubernetes(简称K8S)的开启及基本使用，基于Docker Desktop & WSL2

    背景介绍 Kubernetes(简称k8s)已成为目前业界容器编排的事实标准,其搭配Docker可建立非常高效便捷的高可扩展.高可用应用服务架构. Kubernetes的名字来自希腊语,意思是&quo ...

  8. Windows2012中Jenkins搭建.NET自动编译测试与发布环境

    安装7Zip 下载地址: http://www.7-zip.org/a/7z1602-x64.exe 安装Git 下载地址:https://github.com/git-for-windows/git ...

  9. istio使用教程

    kubernetes各版本离线安装包 安装 安装k8s 强势插播广告 三步安装,不多说 安装helm, 推荐生产环境用helm安装,可以调参 release地址 如我使用的2.9.1版本 yum in ...

  10. 使用Kubeadm创建k8s集群之节点部署（三十一）

    前言 本篇部署教程将讲述k8s集群的节点(master和工作节点)部署,请先按照上一篇教程完成节点的准备.本篇教程中的操作全部使用脚本完成,并且对于某些情况(比如镜像拉取问题)还提供了多种解决方案.不 ...

随机推荐

  1. js合并字符串的3种方法和效率

    /* abc abc abc*/function concat(s,n){ let a = new Array(n); a.fill(s); let str = a.join(''); a = nul ...

  2. apply方法的实现原理

    apply 的核心原理: 将函数设为对象的属性 执行和删除这个函数 指定 this 到函数并传入给定参数执行函数 如果不传参数,默认指向 window Function.prototype.myApp ...

  3. Flex实现左右布局

    html <div class="business-content-1"> <div class="item"> 111 </di ...

  4. Django Admin后台管理功能使用+二次开发

    一  使用环境 开发系统: windows IDE: pycharm 数据库: msyql,navicat 编程语言: python3.7  (Windows x86-64 executable in ...

  5. SpringCloud之服务配置

    1.config 1.1定义 对于分布式微服务,有很多的配置,那么修改起来很麻烦.这就需要对这些配置文件进行集中式的管理,config的功能就是用来统一管理配置文件的.它为微服务提供集中化的外部配置支 ...

  6. Autocad中使用命令来调用python对Autocad二次开发打包后的exe程序

    在Autocad中直接调用Python二次开发程序是有必要的,下面介绍一种方法来实现这个功能: 其基本思路是:先将二次开发的程序打包为可执行程序exe,然后编写lsp文件,该文件写入调用exe程序的语 ...

  7. Typora For Markdown 语法

    数学表达式 要启用这个功能,首先到Preference->Editor中启用.然后使用$符号包裹Tex命令,例如:$lim_{x \to \infty} \ exp(-x)=0$将产生如下的数学 ...

  8. 《吃透MQ系列》核心基础全在这里了

    这是<吃透XXX>技术系列的开篇,这个系列的思路是:先找到每个技术栈最本质的东西,然后以此为出发点,逐渐延伸出其他核心知识.所以,整个系列侧重于思考力的训练,不仅仅是讲清楚 What,而是 ...

  9. 05.从0实现一个JVM语言之目标平台代码生成-CodeGenerator

    从0实现JVM语言之目标平台代码生成-CodeGenerator 源码github仓库, 如果这个系列文章对你有帮助, 希望获得你的一个star 本节相关代码生成package地址 阶段性的告别 非常 ...

  10. SpringBoot启动流程分析原理（一）

    我们都知道SpringBoot自问世以来,一直有一个响亮的口号"约定优于配置",其实一种按约定编程的软件设计范式,目的在于减少软件开发人员在工作中的各种繁琐的配置,我们都知道传统的 ...