只是为了保存一些有用链接而已

Spark 中 JVM 内存使用及配置详情、spark报错与调优、Spark内存溢出OOM异常 :https://blog.csdn.net/qq_22473611/article/details/105989061

Spark快速入门系列(5) | Spark环境搭建—standalone(2) 配置历史日志服务器 :https://cloud.tencent.com/developer/article/1733763

Spark性能优化指南——基础篇 (重要): https://tech.meituan.com/2016/04/29/spark-tuning-basic.html

Spark性能调优与故障处理(重要): https://blog.csdn.net/qq_31784189/article/details/105543730?utm_medium=distribute.pc_relevant.none-task-blog-title-3&spm=1001.2101.3001.424

SparkCore性能调优之设置并行度:https://www.jianshu.com/p/fde4bb04c4e6

Spark Operator 初体验:https://www.modb.pro/db/38076

Kubernetes的三种可视化UI界面: https://blog.51cto.com/u_14157628/2473866

Docker搭建私有仓库(registry与Harbor): https://blog.51cto.com/u_14157628/2460075

K8s资源对象的基本管理之使用YAML文件的方式:  https://blog.51cto.com/u_14157628/2464964

Kubernetes源代码解析: https://github.com/mcsos/understanding-kubernetes

kube-scheduler源码分析:https://blog.tianfeiyu.com/source-code-reading-notes/kubernetes/kube_scheduler_process.html

kube-scheduler 源码分析:https://blog.tianfeiyu.com/source-code-reading-notes/kubernetes/kube_scheduler_algorithm.html

Kubernetes之Scheduler源码分析1.8.3:https://blog.csdn.net/hanlaipeng11/article/details/79665669

kubernetes之Scheduler分析: https://blog.csdn.net/qq_21816375/article/details/78209605?utm_medium=distribute.pc_relevant_t0.none-task-blog-2%7Edefault%7EBlogCommendFromMachineLearnPai2%7Edefault-1.control&dist_request_id=&depth_1-utm_source=distribute.pc_relevant_t0.none-task-blog-2%7Edefault%7EBlogCommendFromMachineLearnPai2%7Edefault-1.control

DockOne微信分享(一四九):Kubernetes调度详解:http://dockone.io/article/2885

 Spark——底层操作RDD,基于内存处理数据的计算引擎:Spark——底层操作RDD,基于内存处理数据的计算引擎 - 云+社区 - 腾讯云 (tencent.com)

深入浅出 Spark(三):Spark 调度系统之“权力的游戏”:深入浅出Spark(三):Spark调度系统之“权力的游戏”-InfoQ

https://www.infoq.cn/article/5aOHzQIaXX6NlHriLtSI

Spark全面性能调优详解:Spark全面性能调优详解_小道的博客-CSDN博客

HADOOP启动踩过的坑:

https://www.freesion.com/article/64421202468/

http://blog.csdn.net/a2011480169/article/details/53868442

k8s中操作Deployment示例: https://www.cnblogs.com/liuxinyustu/articles/13030316.html

 

posted @ 2021-01-27 15:13  wanpi  阅读(68)  评论(0编辑  收藏  举报