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1. 前言
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2. 概念原理
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2.1 设计理念
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2.2 Objects
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2.2.1 Pod
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2.2.1.1 Pod解析
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2.2.1.2 Init容器
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2.2.1.3 Pod安全策略
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2.2.2 Node
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2.2.3 Namespace
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2.2.4 Service
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2.2.5 Volume和Persistent Volume
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2.2.6 Deployment
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2.2.7 Secret
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2.2.8 StatefulSet
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2.2.9 DaemonSet
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2.2.10 ServiceAccount
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2.2.11 ReplicationController和ReplicaSet
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2.2.12 Job
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2.2.13 CronJob
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2.2.14 Ingress
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2.2.15 ConfigMap
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2.2.16 Horizontal Pod Autoscaling
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2.2.17 Label
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2.2.18 垃圾收集
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2.2.19 NetworkPolicy
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3. 用户指南
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3.1 资源配置
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3.1.1 配置Pod的liveness和readiness探针
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3.1.2 配置Pod的Service Account
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3.2 命令使用
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3.2.1 使用kubectl
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3.3 集群安全性管理
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3.3.1 管理集群中的TLS
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3.3.2 kubelet的认证授权
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3.3.3 TLS bootstrap
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3.3.4 kubectl的用户认证授权
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3.3.5 RBAC——基于角色的访问控制
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3.3.6 IP伪装代理
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3.4 访问 Kubernetes 集群
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3.4.1 访问集群
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3.4.2 使用 kubeconfig 文件配置跨集群认证
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3.4.3 通过端口转发访问集群中的应用程序
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3.4.4 使用 service 访问群集中的应用程序
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3.5 在kubernetes中开发部署应用
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3.5.1 适用于kubernetes的应用开发部署流程
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3.5.2 迁移传统应用到kubernetes中——以Hadoop YARN为例
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4. 最佳实践
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4.1 在CentOS上部署kubernetes1.6集群
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4.1.1 创建TLS证书和秘钥
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4.1.2 创建kubeconfig文件
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4.1.3 创建高可用etcd集群
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4.1.4 安装kubectl命令行工具
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4.1.5 部署master节点
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4.1.6 部署node节点
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4.1.7 安装kubedns插件
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4.1.8 安装dashboard插件
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4.1.9 安装heapster插件
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4.1.10 安装EFK插件
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4.2 服务发现与负载均衡
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4.2.1 安装Traefik ingress
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4.2.2 分布式负载测试
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4.2.3 网络和集群性能测试
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4.2.4 边缘节点配置
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4.3 运维管理
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<li class="chapter " data-level="1.4.3.1" data-path="../practice/service-rolling-update.html">
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4.3.1 服务滚动升级
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<li class="chapter " data-level="1.4.3.2" data-path="../practice/app-log-collection.html">
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4.3.2 应用日志收集
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<li class="chapter " data-level="1.4.3.3" data-path="../practice/configuration-best-practice.html">
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4.3.3 配置最佳实践
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4.3.4 集群及应用监控
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<li class="chapter " data-level="1.4.3.5" data-path="../practice/jenkins-ci-cd.html">
<a href="../practice/jenkins-ci-cd.html">
4.3.5 使用Jenkins进行持续构建与发布
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4.3.6 数据持久化问题
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<li class="chapter " data-level="1.4.3.7" data-path="../practice/manage-compute-resources-container.html">
<a href="../practice/manage-compute-resources-container.html">
4.3.7 管理容器的计算资源
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4.4 存储管理
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<li class="chapter " data-level="1.4.4.1" data-path="../practice/glusterfs.html">
<a href="../practice/glusterfs.html">
4.4.1 GlusterFS
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<li class="chapter " data-level="1.4.4.1.1" data-path="../practice/using-glusterfs-for-persistent-storage.html">
<a href="../practice/using-glusterfs-for-persistent-storage.html">
4.4.1.1 使用GlusterFS做持久化存储
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<li class="chapter " data-level="1.4.4.1.2" data-path="../practice/storage-for-containers-using-glusterfs-with-openshift.html">
<a href="../practice/storage-for-containers-using-glusterfs-with-openshift.html">
4.4.1.2 在OpenShift中使用GlusterFS做持久化存储
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</ul>
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<li class="chapter " data-level="1.4.4.2" data-path="../practice/cephfs.html">
<a href="../practice/cephfs.html">
4.4.2 CephFS
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<li class="chapter " data-level="1.4.4.2.1" data-path="../practice/using-ceph-for-persistent-storage.html">
<a href="../practice/using-ceph-for-persistent-storage.html">
4.4.2.1 使用Ceph做持久化存储
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5. 领域应用
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5.1 微服务架构
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<li class="chapter " data-level="1.5.1.1" data-path="istio.html">
<a href="istio.html">
5.1.1 Istio
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<li class="chapter " data-level="1.5.1.1.1" data-path="istio-installation.html">
<a href="istio-installation.html">
5.1.1.1 安装istio
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<li class="chapter " data-level="1.5.1.1.2" data-path="configuring-request-routing.html">
<a href="configuring-request-routing.html">
5.1.1.2 配置请求的路由规则
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</ul>
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<li class="chapter " data-level="1.5.1.2" data-path="linkerd.html">
<a href="linkerd.html">
5.1.2 Linkerd
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<li class="chapter " data-level="1.5.1.2.1" data-path="linkerd-user-guide.html">
<a href="linkerd-user-guide.html">
5.1.2.1 Linkerd 使用指南
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</ul>
</li>
<li class="chapter " data-level="1.5.1.3" data-path="service-discovery-in-microservices.html">
<a href="service-discovery-in-microservices.html">
5.1.3 微服务中的服务发现
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</ul>
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5.2 大数据
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<li class="chapter " data-level="1.5.2.1" data-path="spark-standalone-on-kubernetes.html">
<a href="spark-standalone-on-kubernetes.html">
5.2.1 Spark standalone on Kubernetes
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<li class="chapter active" data-level="1.5.2.2" data-path="support-spark-natively-in-kubernetes.html">
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5.2.2 运行支持kubernetes原生调度的Spark程序
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5.3 Serverless架构
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6. 开发指南
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<a href="../develop/developing-environment.html">
6.1 开发环境搭建
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<li class="chapter " data-level="1.6.2" data-path="../develop/testing.html">
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6.2 单元测试和集成测试
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<li class="chapter " data-level="1.6.3" data-path="../develop/client-go-sample.html">
<a href="../develop/client-go-sample.html">
6.3 client-go示例
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6.4 社区贡献
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7. 附录
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<li class="chapter " data-level="1.7.1" data-path="../appendix/docker-best-practice.html">
<a href="../appendix/docker-best-practice.html">
7.1 Docker最佳实践
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7.3 使用技巧
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<h1>
<i class="fa fa-circle-o-notch fa-spin"></i>
<a href=".." >5.2.2 运行支持kubernetes原生调度的Spark程序</a>
</h1>
</div>
<div class="page-wrapper" tabindex="-1" role="main">
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<section class="normal markdown-section">
<h1 id="&#x8FD0;&#x884C;&#x652F;&#x6301;kubernetes&#x539F;&#x751F;&#x8C03;&#x5EA6;&#x7684;spark&#x7A0B;&#x5E8F;">&#x8FD0;&#x884C;&#x652F;&#x6301;kubernetes&#x539F;&#x751F;&#x8C03;&#x5EA6;&#x7684;Spark&#x7A0B;&#x5E8F;</h1>
<p>&#x6211;&#x4EEC;&#x4E4B;&#x524D;&#x5C31;&#x5728; kubernetes &#x4E2D;&#x8FD0;&#x884C;&#x8FC7; standalone &#x65B9;&#x5F0F;&#x7684; spark &#x96C6;&#x7FA4;&#xFF0C;&#x89C1; <a href="spark-standalone-on-kubernetes.html">Spark standalone on kubernetes</a>&#x3002;</p>
<p>&#x76EE;&#x524D;&#x8FD0;&#x884C;&#x652F;&#x6301; kubernetes &#x539F;&#x751F;&#x8C03;&#x5EA6;&#x7684; spark &#x7A0B;&#x5E8F;&#x7531; Google &#x4E3B;&#x5BFC;&#xFF0C;</p>
<h2 id="spark-&#x6982;&#x5FF5;&#x8BF4;&#x660E;">Spark &#x6982;&#x5FF5;&#x8BF4;&#x660E;</h2>
<p><a href="http://spark.apache.org" target="_blank">Apache Spark</a> &#x662F;&#x4E00;&#x4E2A;&#x56F4;&#x7ED5;&#x901F;&#x5EA6;&#x3001;&#x6613;&#x7528;&#x6027;&#x548C;&#x590D;&#x6742;&#x5206;&#x6790;&#x6784;&#x5EFA;&#x7684;&#x5927;&#x6570;&#x636E;&#x5904;&#x7406;&#x6846;&#x67B6;&#x3002;&#x6700;&#x521D;&#x5728;2009&#x5E74;&#x7531;&#x52A0;&#x5DDE;&#x5927;&#x5B66;&#x4F2F;&#x514B;&#x5229;&#x5206;&#x6821;&#x7684;AMPLab&#x5F00;&#x53D1;&#xFF0C;&#x5E76;&#x4E8E;2010&#x5E74;&#x6210;&#x4E3A;Apache&#x7684;&#x5F00;&#x6E90;&#x9879;&#x76EE;&#x4E4B;&#x4E00;&#x3002;</p>
<p>&#x5728; Spark &#x4E2D;&#x5305;&#x62EC;&#x5982;&#x4E0B;&#x7EC4;&#x4EF6;&#x6216;&#x6982;&#x5FF5;&#xFF1A;</p>
<ul>
<li><strong>Application</strong>&#xFF1A;Spark Application &#x7684;&#x6982;&#x5FF5;&#x548C; Hadoop &#x4E2D;&#x7684; MapReduce &#x7C7B;&#x4F3C;&#xFF0C;&#x6307;&#x7684;&#x662F;&#x7528;&#x6237;&#x7F16;&#x5199;&#x7684; Spark &#x5E94;&#x7528;&#x7A0B;&#x5E8F;&#xFF0C;&#x5305;&#x542B;&#x4E86;&#x4E00;&#x4E2A; Driver &#x529F;&#x80FD;&#x7684;&#x4EE3;&#x7801;&#x548C;&#x5206;&#x5E03;&#x5728;&#x96C6;&#x7FA4;&#x4E2D;&#x591A;&#x4E2A;&#x8282;&#x70B9;&#x4E0A;&#x8FD0;&#x884C;&#x7684; Executor &#x4EE3;&#x7801;&#xFF1B;</li>
<li><strong>Driver</strong>&#xFF1A;Spark &#x4E2D;&#x7684; Driver &#x5373;&#x8FD0;&#x884C;&#x4E0A;&#x8FF0; Application &#x7684; main() &#x51FD;&#x6570;&#x5E76;&#x4E14;&#x521B;&#x5EFA; SparkContext&#xFF0C;&#x5176;&#x4E2D;&#x521B;&#x5EFA; SparkContext &#x7684;&#x76EE;&#x7684;&#x662F;&#x4E3A;&#x4E86;&#x51C6;&#x5907;Spark&#x5E94;&#x7528;&#x7A0B;&#x5E8F;&#x7684;&#x8FD0;&#x884C;&#x73AF;&#x5883;&#x3002;&#x5728; Spark &#x4E2D;&#x7531; SparkContext &#x8D1F;&#x8D23;&#x548C; ClusterManager &#x901A;&#x4FE1;&#xFF0C;&#x8FDB;&#x884C;&#x8D44;&#x6E90;&#x7684;&#x7533;&#x8BF7;&#x3001;&#x4EFB;&#x52A1;&#x7684;&#x5206;&#x914D;&#x548C;&#x76D1;&#x63A7;&#x7B49;&#xFF1B;&#x5F53; Executor &#x90E8;&#x5206;&#x8FD0;&#x884C;&#x5B8C;&#x6BD5;&#x540E;&#xFF0C;Driver&#x8D1F;&#x8D23;&#x5C06;SparkContext &#x5173;&#x95ED;&#x3002;&#x901A;&#x5E38;&#x7528; SparkContext &#x4EE3;&#x8868; Driver&#xFF1B;</li>
<li><strong>Executor</strong>&#xFF1A;Application&#x8FD0;&#x884C;&#x5728;Worker &#x8282;&#x70B9;&#x4E0A;&#x7684;&#x4E00;&#x4E2A;&#x8FDB;&#x7A0B;&#xFF0C;&#x8BE5;&#x8FDB;&#x7A0B;&#x8D1F;&#x8D23;&#x8FD0;&#x884C;Task&#xFF0C;&#x5E76;&#x4E14;&#x8D1F;&#x8D23;&#x5C06;&#x6570;&#x636E;&#x5B58;&#x5728;&#x5185;&#x5B58;&#x6216;&#x8005;&#x78C1;&#x76D8;&#x4E0A;&#xFF0C;&#x6BCF;&#x4E2A;Application&#x90FD;&#x6709;&#x5404;&#x81EA;&#x72EC;&#x7ACB;&#x7684;&#x4E00;&#x6279;Executor&#x3002;&#x5728;Spark on Yarn&#x6A21;&#x5F0F;&#x4E0B;&#xFF0C;&#x5176;&#x8FDB;&#x7A0B;&#x540D;&#x79F0;&#x4E3A;<code>CoarseGrainedExecutorBackend</code>&#xFF0C;&#x7C7B;&#x4F3C;&#x4E8E; Hadoop MapReduce &#x4E2D;&#x7684; YarnChild&#x3002;&#x4E00;&#x4E2A; <code>CoarseGrainedExecutorBackend</code> &#x8FDB;&#x7A0B;&#x6709;&#x4E14;&#x4EC5;&#x6709;&#x4E00;&#x4E2A; executor &#x5BF9;&#x8C61;&#xFF0C;&#x5B83;&#x8D1F;&#x8D23;&#x5C06; Task &#x5305;&#x88C5;&#x6210; taskRunner&#xFF0C;&#x5E76;&#x4ECE;&#x7EBF;&#x7A0B;&#x6C60;&#x4E2D;&#x62BD;&#x53D6;&#x51FA;&#x4E00;&#x4E2A;&#x7A7A;&#x95F2;&#x7EBF;&#x7A0B;&#x8FD0;&#x884C; Task&#x3002;&#x6BCF;&#x4E2A; <code>CoarseGrainedExecutorBackend</code> &#x80FD;&#x5E76;&#x884C;&#x8FD0;&#x884C; Task &#x7684;&#x6570;&#x91CF;&#x5C31;&#x53D6;&#x51B3;&#x4E8E;&#x5206;&#x914D;&#x7ED9;&#x5B83;&#x7684; CPU &#x7684;&#x4E2A;&#x6570;&#x4E86;&#xFF1B;</li>
<li><strong>Cluster Manager</strong>&#xFF1A;&#x6307;&#x7684;&#x662F;&#x5728;&#x96C6;&#x7FA4;&#x4E0A;&#x83B7;&#x53D6;&#x8D44;&#x6E90;&#x7684;&#x5916;&#x90E8;&#x670D;&#x52A1;&#xFF0C;&#x76EE;&#x524D;&#x6709;&#xFF1A;<ul>
<li>Standalone&#xFF1A;Spark&#x539F;&#x751F;&#x7684;&#x8D44;&#x6E90;&#x7BA1;&#x7406;&#xFF0C;&#x7531;Master&#x8D1F;&#x8D23;&#x8D44;&#x6E90;&#x7684;&#x5206;&#x914D;&#xFF1B;</li>
<li>Hadoop Yarn&#xFF1A;&#x7531;YARN&#x4E2D;&#x7684;ResourceManager&#x8D1F;&#x8D23;&#x8D44;&#x6E90;&#x7684;&#x5206;&#x914D;&#xFF1B;</li>
</ul>
</li>
<li><strong>Worker</strong>&#xFF1A;&#x96C6;&#x7FA4;&#x4E2D;&#x4EFB;&#x4F55;&#x53EF;&#x4EE5;&#x8FD0;&#x884C;Application&#x4EE3;&#x7801;&#x7684;&#x8282;&#x70B9;&#xFF0C;&#x7C7B;&#x4F3C;&#x4E8E;YARN&#x4E2D;&#x7684;NodeManager&#x8282;&#x70B9;&#x3002;&#x5728;Standalone&#x6A21;&#x5F0F;&#x4E2D;&#x6307;&#x7684;&#x5C31;&#x662F;&#x901A;&#x8FC7;Slave&#x6587;&#x4EF6;&#x914D;&#x7F6E;&#x7684;Worker&#x8282;&#x70B9;&#xFF0C;&#x5728;Spark on Yarn&#x6A21;&#x5F0F;&#x4E2D;&#x6307;&#x7684;&#x5C31;&#x662F;NodeManager&#x8282;&#x70B9;&#xFF1B;</li>
<li><strong>&#x4F5C;&#x4E1A;&#xFF08;Job&#xFF09;</strong>&#xFF1A;&#x5305;&#x542B;&#x591A;&#x4E2A;Task&#x7EC4;&#x6210;&#x7684;&#x5E76;&#x884C;&#x8BA1;&#x7B97;&#xFF0C;&#x5F80;&#x5F80;&#x7531;Spark Action&#x50AC;&#x751F;&#xFF0C;&#x4E00;&#x4E2A;JOB&#x5305;&#x542B;&#x591A;&#x4E2A;RDD&#x53CA;&#x4F5C;&#x7528;&#x4E8E;&#x76F8;&#x5E94;RDD&#x4E0A;&#x7684;&#x5404;&#x79CD;Operation&#xFF1B;</li>
<li><strong>&#x9636;&#x6BB5;&#xFF08;Stage&#xFF09;</strong>&#xFF1A;&#x6BCF;&#x4E2A;Job&#x4F1A;&#x88AB;&#x62C6;&#x5206;&#x5F88;&#x591A;&#x7EC4; Task&#xFF0C;&#x6BCF;&#x7EC4;&#x4EFB;&#x52A1;&#x88AB;&#x79F0;&#x4E3A;Stage&#xFF0C;&#x4E5F;&#x53EF;&#x79F0;TaskSet&#xFF0C;&#x4E00;&#x4E2A;&#x4F5C;&#x4E1A;&#x5206;&#x4E3A;&#x591A;&#x4E2A;&#x9636;&#x6BB5;&#xFF0C;&#x6BCF;&#x4E00;&#x4E2A;stage&#x7684;&#x5206;&#x5272;&#x70B9;&#x662F;action&#x3002;&#x6BD4;&#x5982;&#x4E00;&#x4E2A;job&#x662F;&#xFF1A;&#xFF08;transformation1 -&gt; transformation1 -&gt; action1 -&gt; transformation3 -&gt; action2&#xFF09;&#xFF0C;&#x8FD9;&#x4E2A;job&#x5C31;&#x4F1A;&#x88AB;&#x5206;&#x4E3A;&#x4E24;&#x4E2A;stage&#xFF0C;&#x5206;&#x5272;&#x70B9;&#x662F;action1&#x548C;action2&#x3002;</li>
<li><p><strong>&#x4EFB;&#x52A1;&#xFF08;Task&#xFF09;</strong>&#xFF1A; &#x88AB;&#x9001;&#x5230;&#x67D0;&#x4E2A;Executor&#x4E0A;&#x7684;&#x5DE5;&#x4F5C;&#x4EFB;&#x52A1;&#xFF1B;</p>
</li>
<li><p><strong>Context</strong>&#xFF1A;&#x542F;&#x52A8;spark application&#x7684;&#x65F6;&#x5019;&#x521B;&#x5EFA;&#xFF0C;&#x4F5C;&#x4E3A;Spark &#x8FD0;&#x884C;&#x65F6;&#x73AF;&#x5883;&#x3002;</p>
</li>
<li><strong>Dynamic Allocation&#xFF08;&#x52A8;&#x6001;&#x8D44;&#x6E90;&#x5206;&#x914D;&#xFF09;</strong>&#xFF1A;&#x4E00;&#x4E2A;&#x914D;&#x7F6E;&#x9009;&#x9879;&#xFF0C;&#x53EF;&#x4EE5;&#x5C06;&#x5176;&#x6253;&#x5F00;&#x3002;&#x4ECE;Spark1.2&#x4E4B;&#x540E;&#xFF0C;&#x5BF9;&#x4E8E;On Yarn&#x6A21;&#x5F0F;&#xFF0C;&#x5DF2;&#x7ECF;&#x652F;&#x6301;&#x52A8;&#x6001;&#x8D44;&#x6E90;&#x5206;&#x914D;&#xFF08;Dynamic Resource Allocation&#xFF09;&#xFF0C;&#x8FD9;&#x6837;&#xFF0C;&#x5C31;&#x53EF;&#x4EE5;&#x6839;&#x636E;Application&#x7684;&#x8D1F;&#x8F7D;&#xFF08;Task&#x60C5;&#x51B5;&#xFF09;&#xFF0C;&#x52A8;&#x6001;&#x7684;&#x589E;&#x52A0;&#x548C;&#x51CF;&#x5C11;executors&#xFF0C;&#x8FD9;&#x79CD;&#x7B56;&#x7565;&#x975E;&#x5E38;&#x9002;&#x5408;&#x5728;YARN&#x4E0A;&#x4F7F;&#x7528;spark-sql&#x505A;&#x6570;&#x636E;&#x5F00;&#x53D1;&#x548C;&#x5206;&#x6790;&#xFF0C;&#x4EE5;&#x53CA;&#x5C06;spark-sql&#x4F5C;&#x4E3A;&#x957F;&#x670D;&#x52A1;&#x6765;&#x4F7F;&#x7528;&#x7684;&#x573A;&#x666F;&#x3002;Executor &#x7684;&#x52A8;&#x6001;&#x5206;&#x914D;&#x9700;&#x8981;&#x5728; cluster mode &#x4E0B;&#x542F;&#x7528; &quot;external shuffle service&quot;&#x3002;</li>
<li><strong>&#x52A8;&#x6001;&#x8D44;&#x6E90;&#x5206;&#x914D;&#x7B56;&#x7565;</strong>&#xFF1A;&#x5F00;&#x542F;&#x52A8;&#x6001;&#x5206;&#x914D;&#x7B56;&#x7565;&#x540E;&#xFF0C;application&#x4F1A;&#x5728;task&#x56E0;&#x6CA1;&#x6709;&#x8DB3;&#x591F;&#x8D44;&#x6E90;&#x88AB;&#x6302;&#x8D77;&#x7684;&#x65F6;&#x5019;&#x53BB;&#x52A8;&#x6001;&#x7533;&#x8BF7;&#x8D44;&#x6E90;&#xFF0C;&#x8FD9;&#x610F;&#x5473;&#x7740;&#x8BE5;application&#x73B0;&#x6709;&#x7684;executor&#x65E0;&#x6CD5;&#x6EE1;&#x8DB3;&#x6240;&#x6709;task&#x5E76;&#x884C;&#x8FD0;&#x884C;&#x3002;spark&#x4E00;&#x8F6E;&#x4E00;&#x8F6E;&#x7684;&#x7533;&#x8BF7;&#x8D44;&#x6E90;&#xFF0C;&#x5F53;&#x6709;task&#x6302;&#x8D77;&#x6216;&#x7B49;&#x5F85; <code>spark.dynamicAllocation.schedulerBacklogTimeout</code> (&#x9ED8;&#x8BA4;1s)&#x65F6;&#x95F4;&#x7684;&#x65F6;&#x5019;&#xFF0C;&#x4F1A;&#x5F00;&#x59CB;&#x52A8;&#x6001;&#x8D44;&#x6E90;&#x5206;&#x914D;&#xFF1B;&#x4E4B;&#x540E;&#x4F1A;&#x6BCF;&#x9694; <code>spark.dynamicAllocation.sustainedSchedulerBacklogTimeout</code> (&#x9ED8;&#x8BA4;1s)&#x65F6;&#x95F4;&#x7533;&#x8BF7;&#x4E00;&#x6B21;&#xFF0C;&#x76F4;&#x5230;&#x7533;&#x8BF7;&#x5230;&#x8DB3;&#x591F;&#x7684;&#x8D44;&#x6E90;&#x3002;&#x6BCF;&#x6B21;&#x7533;&#x8BF7;&#x7684;&#x8D44;&#x6E90;&#x91CF;&#x662F;&#x6307;&#x6570;&#x589E;&#x957F;&#x7684;&#xFF0C;&#x5373;1,2,4,8&#x7B49;&#x3002;&#x4E4B;&#x6240;&#x4EE5;&#x91C7;&#x7528;&#x6307;&#x6570;&#x589E;&#x957F;&#xFF0C;&#x51FA;&#x4E8E;&#x4E24;&#x65B9;&#x9762;&#x8003;&#x8651;&#xFF1A;&#x5176;&#x4E00;&#xFF0C;&#x5F00;&#x59CB;&#x7533;&#x8BF7;&#x7684;&#x5C11;&#x662F;&#x8003;&#x8651;&#x5230;&#x53EF;&#x80FD;application&#x4F1A;&#x9A6C;&#x4E0A;&#x5F97;&#x5230;&#x6EE1;&#x8DB3;&#xFF1B;&#x5176;&#x6B21;&#x8981;&#x6210;&#x500D;&#x589E;&#x52A0;&#xFF0C;&#x662F;&#x4E3A;&#x4E86;&#x9632;&#x6B62;application&#x9700;&#x8981;&#x5F88;&#x591A;&#x8D44;&#x6E90;&#xFF0C;&#x800C;&#x8BE5;&#x65B9;&#x5F0F;&#x53EF;&#x4EE5;&#x5728;&#x5F88;&#x5C11;&#x6B21;&#x6570;&#x7684;&#x7533;&#x8BF7;&#x4E4B;&#x540E;&#x5F97;&#x5230;&#x6EE1;&#x8DB3;&#x3002;</li>
</ul>
<h2 id="&#x67B6;&#x6784;&#x8BBE;&#x8BA1;">&#x67B6;&#x6784;&#x8BBE;&#x8BA1;</h2>
<p>&#x5173;&#x4E8E; spark standalone &#x7684;&#x5C40;&#x9650;&#x6027;&#x4E0E; kubernetes native spark &#x67B6;&#x6784;&#x4E4B;&#x95F4;&#x7684;&#x533A;&#x522B;&#x8BF7;&#x53C2;&#x8003; Anirudh Ramanathan &#x5728; 2016&#x5E74;10&#x6708;8&#x65E5;&#x63D0;&#x4EA4;&#x7684; issue <a href="https://github.com/kubernetes/kubernetes/issues/34377" target="_blank">Support Spark natively in Kubernetes #34377</a>&#x3002;</p>
<p>&#x7B80;&#x800C;&#x8A00;&#x4E4B;&#xFF0C;spark standalone on kubernetes &#x6709;&#x5982;&#x4E0B;&#x51E0;&#x4E2A;&#x7F3A;&#x70B9;&#xFF1A;</p>
<ul>
<li>&#x65E0;&#x6CD5;&#x5BF9;&#x4E8E;&#x591A;&#x79DF;&#x6237;&#x505A;&#x9694;&#x79BB;&#xFF0C;&#x6BCF;&#x4E2A;&#x7528;&#x6237;&#x90FD;&#x60F3;&#x7ED9; pod &#x7533;&#x8BF7; node &#x8282;&#x70B9;&#x53EF;&#x7528;&#x7684;&#x6700;&#x5927;&#x7684;&#x8D44;&#x6E90;&#x3002;</li>
<li>Spark &#x7684; master&#xFF0F;worker &#x672C;&#x6765;&#x4E0D;&#x662F;&#x8BBE;&#x8BA1;&#x6210;&#x4F7F;&#x7528; kubernetes &#x7684;&#x8D44;&#x6E90;&#x8C03;&#x5EA6;&#xFF0C;&#x8FD9;&#x6837;&#x4F1A;&#x5B58;&#x5728;&#x4E24;&#x5C42;&#x7684;&#x8D44;&#x6E90;&#x8C03;&#x5EA6;&#x95EE;&#x9898;&#xFF0C;&#x4E0D;&#x5229;&#x4E8E;&#x4E0E; kuberentes &#x96C6;&#x6210;&#x3002;</li>
</ul>
<p>&#x800C; kubernetes native spark &#x96C6;&#x7FA4;&#x4E2D;&#xFF0C;spark &#x53EF;&#x4EE5;&#x8C03;&#x7528; kubernetes API &#x83B7;&#x53D6;&#x96C6;&#x7FA4;&#x8D44;&#x6E90;&#x548C;&#x8C03;&#x5EA6;&#x3002;&#x8981;&#x5B9E;&#x73B0; kubernetes native spark &#x9700;&#x8981;&#x4E3A; spark &#x63D0;&#x4F9B;&#x4E00;&#x4E2A;&#x96C6;&#x7FA4;&#x5916;&#x90E8;&#x7684; manager &#x53EF;&#x4EE5;&#x7528;&#x6765;&#x8DDF; kubernetes API &#x4EA4;&#x4E92;&#x3002;</p>
<h2 id="&#x5B89;&#x88C5;&#x6307;&#x5357;">&#x5B89;&#x88C5;&#x6307;&#x5357;</h2>
<p>&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x76F4;&#x63A5;&#x4F7F;&#x7528;&#x5B98;&#x65B9;&#x5DF2;&#x7F16;&#x8BD1;&#x597D;&#x7684; docker &#x955C;&#x50CF;&#x6765;&#x90E8;&#x7F72;&#xFF0C;&#x4E0B;&#x9762;&#x662F;&#x5B98;&#x65B9;&#x53D1;&#x5E03;&#x7684;&#x955C;&#x50CF;&#xFF1A;</p>
<table>
<thead>
<tr>
<th>&#x7EC4;&#x4EF6;</th>
<th>&#x955C;&#x50CF;</th>
</tr>
</thead>
<tbody>
<tr>
<td>Spark Driver Image</td>
<td><code>kubespark/spark-driver:v2.1.0-kubernetes-0.3.1</code></td>
</tr>
<tr>
<td>Spark Executor Image</td>
<td><code>kubespark/spark-executor:v2.1.0-kubernetes-0.3.1</code></td>
</tr>
<tr>
<td>Spark Initialization Image</td>
<td><code>kubespark/spark-init:v2.1.0-kubernetes-0.3.1</code></td>
</tr>
<tr>
<td>Spark Staging Server Image</td>
<td><code>kubespark/spark-resource-staging-server:v2.1.0-kubernetes-0.3.1</code></td>
</tr>
<tr>
<td>PySpark Driver Image</td>
<td><code>kubespark/driver-py:v2.1.0-kubernetes-0.3.1</code></td>
</tr>
<tr>
<td>PySpark Executor Image</td>
<td><code>kubespark/executor-py:v2.1.0-kubernetes-0.3.1</code></td>
</tr>
</tbody>
</table>
<p>&#x6211;&#x5C06;&#x8FD9;&#x4E9B;&#x955C;&#x50CF;&#x653E;&#x5230;&#x4E86;&#x6211;&#x7684;&#x79C1;&#x6709;&#x955C;&#x50CF;&#x4ED3;&#x5E93;&#x4E2D;&#x4E86;&#x3002;</p>
<p>&#x8FD8;&#x9700;&#x8981;&#x5B89;&#x88C5;&#x652F;&#x6301; kubernetes &#x7684; spark &#x5BA2;&#x6237;&#x7AEF;&#xFF0C;&#x5728;&#x8FD9;&#x91CC;&#x4E0B;&#x8F7D;&#xFF1A;<a href="https://github.com/apache-spark-on-k8s/spark/releases" target="_blank">https://github.com/apache-spark-on-k8s/spark/releases</a></p>
<p>&#x6839;&#x636E;&#x4F7F;&#x7528;&#x7684;&#x955C;&#x50CF;&#x7248;&#x672C;&#xFF0C;&#x6211;&#x4E0B;&#x8F7D;&#x7684;&#x662F; <a href="https://github.com/apache-spark-on-k8s/spark/releases/tag/v2.1.0-kubernetes-0.3.1" target="_blank">v2.1.0-kubernetes-0.3.1</a> </p>
<p><strong>&#x8FD0;&#x884C; SparkPi &#x6D4B;&#x8BD5;</strong></p>
<pre><code class="lang-bash">./bin/spark-submit \
--deploy-mode cluster \
--class org.apache.spark.examples.SparkPi \
--master k8s://https://172.20.0.113:6443 \
--kubernetes-namespace spark-cluster \
--conf spark.executor.instances=5 \
--conf spark.app.name=spark-pi \
--conf spark.kubernetes.driver.docker.image=sz-pg-oam-docker-hub-001.tendcloud.com/library/kubespark-spark-driver:v2.1.0-kubernetes-0.3.1 \
--conf spark.kubernetes.executor.docker.image=sz-pg-oam-docker-hub-001.tendcloud.com/library/kubespark-spark-executor:v2.1.0-kubernetes-0.3.1 \
--conf spark.kubernetes.initcontainer.docker.image=sz-pg-oam-docker-hub-001.tendcloud.com/library/kubespark-spark-init:v2.1.0-kubernetes-0.3.1 \
<span class="hljs-built_in">local</span>:///opt/spark/examples/jars/spark-examples_2.11-2.1.0-k8s-0.3.1-SNAPSHOT.jar
</code></pre>
<p>&#x5173;&#x4E8E;&#x8BE5;&#x547D;&#x4EE4;&#x53C2;&#x6570;&#x7684;&#x4ECB;&#x7ECD;&#x8BF7;&#x53C2;&#x8003;&#xFF1A;<a href="https://apache-spark-on-k8s.github.io/userdocs/running-on-kubernetes.html" target="_blank">https://apache-spark-on-k8s.github.io/userdocs/running-on-kubernetes.html</a></p>
<p><strong>&#x6CE8;&#x610F;&#xFF1A;</strong> &#x8BE5; jar &#x5305;&#x5B9E;&#x9645;&#x4E0A;&#x662F; <code>spark.kubernetes.executor.docker.image</code> &#x955C;&#x50CF;&#x4E2D;&#x7684;&#x3002;</p>
<p>&#x8FD9;&#x65F6;&#x5019;&#x63D0;&#x4EA4;&#x4EFB;&#x52A1;&#x8FD0;&#x884C;&#x8FD8;&#x662F;&#x5931;&#x8D25;&#xFF0C;&#x62A5;&#x9519;&#x4FE1;&#x606F;&#x4E2D;&#x53EF;&#x4EE5;&#x770B;&#x5230;&#x4E24;&#x4E2A;&#x95EE;&#x9898;&#xFF1A;</p>
<ul>
<li>Executor &#x65E0;&#x6CD5;&#x627E;&#x5230; driver pod</li>
<li>&#x7528;&#x6237; <code>system:serviceaccount:spark-cluster:defaul</code> &#x6CA1;&#x6709;&#x6743;&#x9650;&#x83B7;&#x53D6; <code>spark-cluster</code> &#x4E2D;&#x7684; pod &#x4FE1;&#x606F;&#x3002;</li>
</ul>
<p>&#x63D0;&#x4E86;&#x4E2A; issue <a href="https://github.com/apache-spark-on-k8s/spark/issues/478" target="_blank">Failed to run the sample spark-pi test using spark-submit on the doc #478</a> </p>
<p>&#x9700;&#x8981;&#x4E3A; spark &#x96C6;&#x7FA4;&#x521B;&#x5EFA;&#x4E00;&#x4E2A; <code>serviceaccount</code> &#x548C; <code>clusterrolebinding</code>&#xFF1A;</p>
<pre><code class="lang-bash">kubectl create serviceaccount spark --namespace spark-cluster
kubectl create rolebinding spark-edit --clusterrole=edit --serviceaccount=spark-cluster:spark --namespace=spark-cluster
</code></pre>
<p>&#x8BE5; Bug &#x5C06;&#x5728;&#x65B0;&#x7248;&#x672C;&#x4E2D;&#x4FEE;&#x590D;&#x3002;</p>
<h2 id="&#x5F00;&#x53D1;&#x6587;&#x6863;">&#x5F00;&#x53D1;&#x6587;&#x6863;</h2>
<h3 id="&#x7F16;&#x8BD1;">&#x7F16;&#x8BD1;</h3>
<p>Fork &#x5E76;&#x514B;&#x9686;&#x9879;&#x76EE;&#x5230;&#x672C;&#x5730;&#xFF1A;</p>
<pre><code class="lang-bash">git <span class="hljs-built_in">clone</span> https://github.com/rootsongjc/spark.git
</code></pre>
<p>&#x7F16;&#x8BD1;&#x524D;&#x8BF7;&#x786E;&#x4FDD;&#x4F60;&#x7684;&#x73AF;&#x5883;&#x4E2D;&#x5DF2;&#x7ECF;&#x5B89;&#x88C5; Java8 &#x548C; Maven3&#x3002;</p>
<pre><code class="lang-bash"><span class="hljs-comment">## &#x7B2C;&#x4E00;&#x6B21;&#x7F16;&#x8BD1;&#x524D;&#x9700;&#x8981;&#x5B89;&#x88C5;&#x4F9D;&#x8D56;</span>
build/mvn install -Pkubernetes -pl resource-managers/kubernetes/core -am -DskipTests
<span class="hljs-comment">## &#x7F16;&#x8BD1; spark on kubernetes</span>
build/mvn compile -Pkubernetes -pl resource-managers/kubernetes/core -am -DskipTests
<span class="hljs-comment">## &#x53D1;&#x5E03;</span>
dev/make-distribution.sh --tgz -Phadoop-2.7 -Pkubernetes
</code></pre>
<p>&#x7B2C;&#x4E00;&#x6B21;&#x7F16;&#x8BD1;&#x548C;&#x53D1;&#x5E03;&#x7684;&#x8FC7;&#x7A0B;&#x8017;&#x65F6;&#x53EF;&#x80FD;&#x4F1A;&#x6BD4;&#x8F83;&#x957F;&#xFF0C;&#x8BF7;&#x8010;&#x5FC3;&#x7B49;&#x5F85;&#xFF0C;&#x5982;&#x679C;&#x6709;&#x4F9D;&#x8D56;&#x4E0B;&#x8F7D;&#x4E0D;&#x4E0B;&#x6765;&#xFF0C;&#x8BF7;&#x81EA;&#x5907;&#x68AF;&#x5B50;&#x3002;</p>
<p>&#x8BE6;&#x7EC6;&#x7684;&#x5F00;&#x53D1;&#x6307;&#x5357;&#x8BF7;&#x89C1;&#xFF1A;<a href="https://github.com/apache-spark-on-k8s/spark/blob/branch-2.2-kubernetes/resource-managers/kubernetes/README.md" target="_blank">https://github.com/apache-spark-on-k8s/spark/blob/branch-2.2-kubernetes/resource-managers/kubernetes/README.md</a></p>
<h3 id="&#x6784;&#x5EFA;&#x955C;&#x50CF;">&#x6784;&#x5EFA;&#x955C;&#x50CF;</h3>
<p>&#x4F7F;&#x7528;&#x8BE5;&#x811A;&#x672C;&#x6765;&#x81EA;&#x52A8;&#x6784;&#x5EFA;&#x5BB9;&#x5668;&#x955C;&#x50CF;&#xFF1A;<a href="https://github.com/apache-spark-on-k8s/spark/pull/488" target="_blank">https://github.com/apache-spark-on-k8s/spark/pull/488</a></p>
<p>&#x5C06;&#x8BE5;&#x811A;&#x672C;&#x653E;&#x5728; <code>dist</code> &#x76EE;&#x5F55;&#x4E0B;&#xFF0C;&#x6267;&#x884C;&#xFF1A;</p>
<pre><code class="lang-bash">./build-push-docker-images.sh -r sz-pg-oam-docker-hub-001.tendcloud.com/library -t v2.1.0-kubernetes-0.3.1-1 build
./build-push-docker-images.sh -r sz-pg-oam-docker-hub-001.tendcloud.com/library -t v2.1.0-kubernetes-0.3.1-1 push
</code></pre>
<p><strong>&#x6CE8;&#x610F;&#xFF1A;</strong>&#x5982;&#x679C;&#x4F60;&#x4F7F;&#x7528;&#x7684; MacOS&#xFF0C;bash &#x7684;&#x7248;&#x672C;&#x53EF;&#x80FD;&#x592A;&#x4F4E;&#xFF0C;&#x6267;&#x884C;&#x6539;&#x811A;&#x672C;&#x5C06;&#x51FA;&#x9519;&#xFF0C;&#x8BF7;&#x68C0;&#x67E5;&#x4F60;&#x7684; bash &#x7248;&#x672C;&#xFF1A;</p>
<pre><code class="lang-bash">bash --version
GNU bash, version 3.2.57(1)-release (x86_64-apple-darwin16)
Copyright (C) 2007 Free Software Foundation, Inc.
</code></pre>
<p>&#x4E0A;&#x9762;&#x6211;&#x5728;&#x5347;&#x7EA7; bash &#x4E4B;&#x524D;&#x83B7;&#x53D6;&#x7684;&#x7248;&#x672C;&#x4FE1;&#x606F;&#xFF0C;&#x4F7F;&#x7528;&#x4E0B;&#x9762;&#x7684;&#x547D;&#x4EE4;&#x5347;&#x7EA7; bash&#xFF1A;</p>
<pre><code class="lang-bash">brew install bash
</code></pre>
<p>&#x5347;&#x7EA7;&#x540E;&#x7684; bash &#x7248;&#x672C;&#x4E3A; <code>4.4.12(1)-release (x86_64-apple-darwin16.3.0)</code>&#x3002;</p>
<p>&#x7F16;&#x8BD1;&#x5E76;&#x4E0A;&#x4F20;&#x955C;&#x50CF;&#x5230;&#x6211;&#x7684;&#x79C1;&#x6709;&#x955C;&#x50CF;&#x4ED3;&#x5E93;&#xFF0C;&#x5C06;&#x4F1A;&#x6784;&#x5EFA;&#x51FA;&#x5982;&#x4E0B;&#x51E0;&#x4E2A;&#x955C;&#x50CF;&#xFF1A;</p>
<pre><code class="lang-bash">sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver:v2.1.0-kubernetes-0.3.1-1
sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-resource-staging-server:v2.1.0-kubernetes-0.3.1-1
sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-init:v2.1.0-kubernetes-0.3.1-1
sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-shuffle:v2.1.0-kubernetes-0.3.1-1
sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-executor:v2.1.0-kubernetes-0.3.1-1
sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-executor-py:v2.1.0-kubernetes-0.3.1-1
sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver-py:v2.1.0-kubernetes-0.3.1-1
</code></pre>
<h2 id="&#x8FD0;&#x884C;&#x6D4B;&#x8BD5;">&#x8FD0;&#x884C;&#x6D4B;&#x8BD5;</h2>
<p>&#x5728; <code>dist/bin</code> &#x76EE;&#x5F55;&#x4E0B;&#x6267;&#x884C; spark-pi &#x6D4B;&#x8BD5;&#xFF1A;</p>
<pre><code class="lang-bash">./spark-submit \
--deploy-mode cluster \
--class org.apache.spark.examples.SparkPi \
--master k8s://https://172.20.0.113:6443 \
--kubernetes-namespace spark-cluster \
--conf spark.kubernetes.authenticate.driver.serviceAccountName=spark \
--conf spark.executor.instances=5 \
--conf spark.app.name=spark-pi \
--conf spark.kubernetes.driver.docker.image=sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver:v2.1.0-kubernetes-0.3.1-1 \
--conf spark.kubernetes.executor.docker.image=sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-executor:v2.1.0-kubernetes-0.3.1-1 \
--conf spark.kubernetes.initcontainer.docker.image=sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-init:v2.1.0-kubernetes-0.3.1-1 \
<span class="hljs-built_in">local</span>:///opt/spark/examples/jars/spark-examples_2.11-2.2.0-k8s-0.4.0-SNAPSHOT.jar
</code></pre>
<p>&#x8BE6;&#x7EC6;&#x7684;&#x53C2;&#x6570;&#x8BF4;&#x660E;&#x89C1;&#xFF1A;<a href="https://apache-spark-on-k8s.github.io/userdocs/running-on-kubernetes.html" target="_blank">https://apache-spark-on-k8s.github.io/userdocs/running-on-kubernetes.html</a></p>
<p><strong>&#x6CE8;&#x610F;&#xFF1A;</strong><code>local:///opt/spark/examples/jars/spark-examples_2.11-2.2.0-k8s-0.4.0-SNAPSHOT.jar</code> &#x6587;&#x4EF6;&#x662F;&#x5728; <code>spark-driver</code> &#x548C; <code>spark-executor</code> &#x955C;&#x50CF;&#x91CC;&#x7684;&#xFF0C;&#x5728;&#x4E0A;&#x4E00;&#x6B65;&#x6784;&#x5EFA;&#x955C;&#x50CF;&#x65F6;&#x5DF2;&#x7ECF;&#x6784;&#x5EFA;&#x5E76;&#x4E0A;&#x4F20;&#x5230;&#x4E86;&#x955C;&#x50CF;&#x4ED3;&#x5E93;&#x4E2D;&#x3002;</p>
<p>&#x6267;&#x884C;&#x65E5;&#x5FD7;&#x663E;&#x793A;&#xFF1A;</p>
<pre><code class="lang-bash">2017-09-14 14:59:01 INFO Client:54 - Waiting <span class="hljs-keyword">for</span> application spark-pi to finish...
2017-09-14 14:59:01 INFO LoggingPodStatusWatcherImpl:54 - State changed, new state:
pod name: spark-pi-1505372339796-driver
namespace: spark-cluster
labels: spark-app-selector -&gt; spark<span class="hljs-_">-f</span>4d3a5d3ad964a05a51feb6191d50357, spark-role -&gt; driver
pod uid: 304cf440-991a-11e7-970c<span class="hljs-_">-f</span>4e9d49f8ed0
creation time: 2017-09-14T06:59:01Z
service account name: spark
volumes: spark-token-zr8wv
node name: N/A
start time: N/A
container images: N/A
phase: Pending
status: []
2017-09-14 14:59:01 INFO LoggingPodStatusWatcherImpl:54 - State changed, new state:
pod name: spark-pi-1505372339796-driver
namespace: spark-cluster
labels: spark-app-selector -&gt; spark<span class="hljs-_">-f</span>4d3a5d3ad964a05a51feb6191d50357, spark-role -&gt; driver
pod uid: 304cf440-991a-11e7-970c<span class="hljs-_">-f</span>4e9d49f8ed0
creation time: 2017-09-14T06:59:01Z
service account name: spark
volumes: spark-token-zr8wv
node name: 172.20.0.114
start time: N/A
container images: N/A
phase: Pending
status: []
2017-09-14 14:59:01 INFO LoggingPodStatusWatcherImpl:54 - State changed, new state:
pod name: spark-pi-1505372339796-driver
namespace: spark-cluster
labels: spark-app-selector -&gt; spark<span class="hljs-_">-f</span>4d3a5d3ad964a05a51feb6191d50357, spark-role -&gt; driver
pod uid: 304cf440-991a-11e7-970c<span class="hljs-_">-f</span>4e9d49f8ed0
creation time: 2017-09-14T06:59:01Z
service account name: spark
volumes: spark-token-zr8wv
node name: 172.20.0.114
start time: 2017-09-14T06:59:01Z
container images: sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver:v2.1.0-kubernetes-0.3.1-1
phase: Pending
status: [ContainerStatus(containerID=null, image=sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver:v2.1.0-kubernetes-0.3.1-1, imageID=, lastState=ContainerState(running=null, terminated=null, waiting=null, additionalProperties={}), name=spark-kubernetes-driver, ready=<span class="hljs-literal">false</span>, restartCount=0, state=ContainerState(running=null, terminated=null, waiting=ContainerStateWaiting(message=null, reason=ContainerCreating, additionalProperties={}), additionalProperties={}), additionalProperties={})]
2017-09-14 14:59:03 INFO LoggingPodStatusWatcherImpl:54 - State changed, new state:
pod name: spark-pi-1505372339796-driver
namespace: spark-cluster
labels: spark-app-selector -&gt; spark<span class="hljs-_">-f</span>4d3a5d3ad964a05a51feb6191d50357, spark-role -&gt; driver
pod uid: 304cf440-991a-11e7-970c<span class="hljs-_">-f</span>4e9d49f8ed0
creation time: 2017-09-14T06:59:01Z
service account name: spark
volumes: spark-token-zr8wv
node name: 172.20.0.114
start time: 2017-09-14T06:59:01Z
container images: sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver:v2.1.0-kubernetes-0.3.1-1
phase: Running
status: [ContainerStatus(containerID=docker://5c5c821c482a1e35552adccb567020532b79244392374f25754f0050e6<span class="hljs-built_in">cd</span>4c62, image=sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver:v2.1.0-kubernetes-0.3.1-1, imageID=docker-pullable://sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver@sha256:beb92a3e3f178e286d9e5baebdead88b5ba76d651f347ad2864bb6f8eda26f94, lastState=ContainerState(running=null, terminated=null, waiting=null, additionalProperties={}), name=spark-kubernetes-driver, ready=<span class="hljs-literal">true</span>, restartCount=0, state=ContainerState(running=ContainerStateRunning(startedAt=2017-09-14T06:59:02Z, additionalProperties={}), terminated=null, waiting=null, additionalProperties={}), additionalProperties={})]
2017-09-14 14:59:12 INFO LoggingPodStatusWatcherImpl:54 - State changed, new state:
pod name: spark-pi-1505372339796-driver
namespace: spark-cluster
labels: spark-app-selector -&gt; spark<span class="hljs-_">-f</span>4d3a5d3ad964a05a51feb6191d50357, spark-role -&gt; driver
pod uid: 304cf440-991a-11e7-970c<span class="hljs-_">-f</span>4e9d49f8ed0
creation time: 2017-09-14T06:59:01Z
service account name: spark
volumes: spark-token-zr8wv
node name: 172.20.0.114
start time: 2017-09-14T06:59:01Z
container images: sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver:v2.1.0-kubernetes-0.3.1-1
phase: Succeeded
status: [ContainerStatus(containerID=docker://5c5c821c482a1e35552adccb567020532b79244392374f25754f0050e6<span class="hljs-built_in">cd</span>4c62, image=sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver:v2.1.0-kubernetes-0.3.1-1, imageID=docker-pullable://sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver@sha256:beb92a3e3f178e286d9e5baebdead88b5ba76d651f347ad2864bb6f8eda26f94, lastState=ContainerState(running=null, terminated=null, waiting=null, additionalProperties={}), name=spark-kubernetes-driver, ready=<span class="hljs-literal">false</span>, restartCount=0, state=ContainerState(running=null, terminated=ContainerStateTerminated(containerID=docker://5c5c821c482a1e35552adccb567020532b79244392374f25754f0050e6<span class="hljs-built_in">cd</span>4c62, <span class="hljs-built_in">exit</span>Code=0, finishedAt=2017-09-14T06:59:11Z, message=null, reason=Completed, signal=null, startedAt=null, additionalProperties={}), waiting=null, additionalProperties={}), additionalProperties={})]
2017-09-14 14:59:12 INFO LoggingPodStatusWatcherImpl:54 - Container final statuses:
Container name: spark-kubernetes-driver
Container image: sz-pg-oam-docker-hub-001.tendcloud.com/library/spark-driver:v2.1.0-kubernetes-0.3.1-1
Container state: Terminated
Exit code: 0
2017-09-14 14:59:12 INFO Client:54 - Application spark-pi finished.
</code></pre>
<p>&#x4ECE;&#x65E5;&#x5FD7;&#x4E2D;&#x53EF;&#x4EE5;&#x770B;&#x5230;&#x4EFB;&#x52A1;&#x8FD0;&#x884C;&#x7684;&#x72B6;&#x6001;&#x4FE1;&#x606F;&#x3002;</p>
<p>&#x4F7F;&#x7528;&#x4E0B;&#x9762;&#x7684;&#x547D;&#x4EE4;&#x53EF;&#x4EE5;&#x770B;&#x5230; kubernetes &#x542F;&#x52A8;&#x7684; Pod &#x4FE1;&#x606F;&#xFF1A;</p>
<pre><code class="lang-bash">kubectl --namespace spark-cluster get pods -w
</code></pre>
<p>&#x5C06;&#x4F1A;&#x770B;&#x5230; <code>spark-driver</code> &#x548C; <code>spark-exec</code> &#x7684; Pod &#x4FE1;&#x606F;&#x3002;</p>
<h2 id="&#x53C2;&#x8003;">&#x53C2;&#x8003;</h2>
<p><a href="http://lxw1234.com/archives/2015/12/593.htm" target="_blank">Spark&#x52A8;&#x6001;&#x8D44;&#x6E90;&#x5206;&#x914D;-Dynamic Resource Allocation</a></p>
<p><a href="https://apache-spark-on-k8s.github.io/userdocs/running-on-kubernetes.html" target="_blank">Running Spark on Kubernetes</a></p>
<p><a href="https://issues.apache.org/jira/browse/SPARK-18278" target="_blank">Apache Spark Jira Issue - 18278 - SPIP: Support native submission of spark jobs to a kubernetes cluster</a></p>
<p><a href="https://github.com/kubernetes/kubernetes/issues/34377" target="_blank">Kubernetes Github Issue - 34377 Support Spark natively in Kubernetes</a></p>
<p><a href="https://github.com/kubernetes/kubernetes/tree/master/examples/spark" target="_blank">Kubernetes example spark</a></p>
<p><a href="https://github.com/rootsongjc/spark-on-kubernetes" target="_blank">https://github.com/rootsongjc/spark-on-kubernetes</a> </p>
<footer class="page-footer-ex"> <span class="page-footer-ex-copyright">for GitBook</span>&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;&#xA0;<span class="page-footer-ex-footer-update">update
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