随笔感悟--当我们在谈论人生意义的时候我们在探讨什么
follow
/2020/05/04/what-are-we-seeking-when-we-talk-about-life"s meaning/
follow
/2020/05/04/what-are-we-seeking-when-we-talk-about-life"s meaning/#comments
当下的启蒙
follow
https://book.douban.com/subject/30376593//
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
读书笔记-- 认知天性
follow
/2019/09/22/The-Science-of-Successful-Learning-reading-note/
follow
/2019/09/22/The-Science-of-Successful-Learning-reading-note/#comments
认知天性
follow
https://book.douban.com/subject/30353486/
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
读书笔记-- 学会提问
follow
/2019/08/18/asking-the-right-question-reading-note/
follow
/2019/08/18/asking-the-right-question-reading-note/#comments
Asking the Right Questions
follow
https://book.douban.com/subject/1829747/
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
Inf-- 深入理解 Spark shuffle
follow
/2018/09/26/deep-in-spark-shuffle/
follow
/2018/09/26/deep-in-spark-shuffle/#comments
Spark Shuffle的技术演进
follow
https://www.jianshu.com/p/4c5c2e535da5
follow
#BypassMergeSortShuffleWriter
follow
#SortShuffleWriter
follow
#UnsafeShuffleWriter
follow
#spark-shuffle-源码解析
SOS - Optimizing Shuffle
follow
https://www.youtube.com/watch?v=fm3Hgxuz2TM
‘map-side’ aggregation in Spark
follow
https://stackoverflow.com/questions/31283932/map-side-aggregation-in-spark
spark的shuffle和Hadoop的shuffle(mapreduce)的区别和关系是什么?
follow
https://www.zhihu.com/question/27643595/answer/293665719
Spark 2.1.0 - Shuffle逻辑分析
follow
https://www.jianshu.com/p/500e8976642f
hadoop的mapReduce和Spark的shuffle过程的详解与对比及优化
follow
https://blog.csdn.net/u010697988/article/details/70173104
Spark性能优化指南——高级篇
follow
https://tech.meituan.com/spark_tuning_pro.html
Spark Shuffle原理及相关调优
follow
http://sharkdtu.com/posts/spark-shuffle.html
彻底搞懂 Spark 的 shuffle 过程(shuffle write)
follow
https://toutiao.io/posts/eicdjo/preview
Shuffle operations
follow
https://spark.apache.org/docs/2.1.1/programming-guide.html#shuffle-operations
Apache Spark Shuffles Explained In Depth
follow
http://hydronitrogen.com/apache-spark-shuffles-explained-in-depth.html
Spark Shuffle的技术演进
follow
https://www.jianshu.com/p/4c5c2e535da5
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
Inf-- Spark2.3 的事件体系
follow
/2018/09/16/deep-in-spark2.3-event-system/
follow
/2018/09/16/deep-in-spark2.3-event-system/#comments
spark github
follow
https://github.com/apache/spark
spark学习-48-Spark的event事件监听器LiveListenerBus和特质SparkListenerBus以及特质ListenerBus
follow
https://blog.csdn.net/qq_21383435/article/details/78666141
SQLListener Spark Listener
follow
https://jaceklaskowski.gitbooks.io/mastering-spark-sql/spark-sql-SQLListener.html
Spark消息总线实现
follow
https://www.jianshu.com/p/7304d9c702a3
Spark事件监听详解
follow
https://wongxingjun.github.io/2017/01/01/Spark%E4%BA%8B%E4%BB%B6%E7%9B%91%E5%90%AC%E8%AF%A6%E8%A7%A3/
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
Inf-- celery 源码大致解析
follow
/2018/07/03/deep-in-celery/
follow
/2018/07/03/deep-in-celery/#comments
Extensions and Bootsteps
follow
http://docs.celeryproject.org/en/latest/userguide/extending.html#blueprints
Kombu 4.2.1 documentation
follow
http://docs.celeryproject.org/projects/kombu/en/latest/introduction.html
kombu和消息队列总结
follow
http://gtcsq.readthedocs.io/en/latest/openstack/kombu.html
Celery 源码解析
follow
https://liuliqiang.info/post/celery-source-analysis-worker-execute-engine
Celery源码分析(一)-从命令执行到生成Worker
follow
https://blog.csdn.net/happyAnger6/article/details/53869262
pika vs kombu
follow
https://stackoverflow.com/questions/48524536/can-anyone-please-tell-me-what-are-the-differences-between-pika-and-kombu-messag
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
Inf-- kafka 从入门到放弃
follow
/2018/06/03/kafka-intro/
follow
/2018/06/03/kafka-intro/#comments
quick start
follow
https://kafka.apache.org/quickstart
kafka Documentation
follow
https://kafka.apache.org/documentation/#uses_logs
kafka入门教程
follow
https://leokongwq.github.io/2017/02/06/mq-kafka-tutorial.html#
Kafka系列文章
follow
http://www.jasongj.com/2015/03/10/KafkaColumn1/
分布式发布订阅消息系统 Kafka 架构设计
follow
https://www.oschina.net/translate/kafka-design
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
Kuberbetes-- 部署生产级MySQL到Kubernetes集群中
follow
/2018/05/10/mysql-on-k8s-in-production/
follow
/2018/05/10/mysql-on-k8s-in-production/#comments
follow
#Clustered-amp-Virtualized-Systems
follow
#Mysql-NDB-CLUSTER
follow
#MarianDB-Galera-Cluster
follow
#Geographically-Replicated-Clusters
Best practices for MySQL High Availability
follow
https://www.slideshare.net/bytebot/best-practices-for-mysql-high-availability
Choosing the right MySQL High Availability Solution
follow
http://www.clusterdb.com/mysql/choosing-the-right-mysql-high-availability-solution-webinar-replay
High Availability and Scalability
follow
https://dev.mysql.com/doc/mysql-ha-scalability/en/ha-overview.html
五大常见的MySQL高可用方案
follow
https://zhuanlan.zhihu.com/p/25960208
mysql复制高可用方案总结
follow
http://www.fblinux.com/?p=1044
MySQL高可用各个技术的比较
follow
http://database.51cto.com/art/201504/473788.htm
用 Go 搭建 Kubernetes Operators
follow
https://juejin.im/entry/59edb5656fb9a0452404fd78
mysql on kubernetes
follow
https://schd.ws/hosted_files/kccncna17/cc/MySQL%20on%20Kubernetes.pdf
容器化RDS:计算存储分离还是本地存储?
follow
http://dockone.io/article/3673
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
Docker-- Docker storage driver 概述
follow
/2018/03/09/record-for-docker-storage-driver/
follow
/2018/03/09/record-for-docker-storage-driver/#comments
follow
#storage-driver-的种类以及选型
follow
#几种典型-storage-driver的原理
follow
#Device-mapper的实现原理
Docker storage drivers
follow
https://docs.docker.com/storage/storagedriver/select-storage-driver/
Docker用户指南(4) – 存储驱动选择
follow
https://www.centos.bz/2016/12/select-a-docker-storage-driver/
深入了解Docker存储驱动
follow
http://dockone.io/article/1765
Docker之几种storage-driver比较
follow
http://blog.csdn.net/vchy_zhao/article/details/70238690
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
Hadoop-- Hadoop学习之HDFS
follow
/2018/01/30/record-for-hdfs/
follow
/2018/01/30/record-for-hdfs/#comments
follow
#HDFS-Architecture
该博客
follow
http://blog.csdn.net/mmd0308/article/details/74674524
FileSystemShell
follow
https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-common/FileSystemShell.html
TransparentEncryption
follow
https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/TransparentEncryption.html
HADOOP(二):HDFS 高可用原理
follow
http://www.bijishequ.com/detail/373246
Hadoop服务层授权控制
follow
https://www.iteblog.com/archives/983.html
Welcome to Apache Hadoop
follow
http://hadoop.apache.org/
HDFS Users Guide
follow
https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsUserGuide.html
深入理解Hadoop集群和网络
follow
http://pangjiuzala.github.io/2015/08/02/%E6%B7%B1%E5%85%A5%E7%90%86%E8%A7%A3Hadoop%E9%9B%86%E7%BE%A4%E5%92%8C%E7%BD%91%E7%BB%9C/
Hadoop2.7.3 HA高可靠性集群搭建
follow
http://www.cnblogs.com/zhangmingcheng/p/6406792.html
Hadoop之HDFS分布式文件系统NameNode及Secondary NameNode详解
follow
http://blog.csdn.net/mmd0308/article/details/74674524
Hadoop 访问管理
follow
http://komi.leanote.com/post/Hadoop-Ranger%E6%9D%83%E9%99%90%E6%B5%81%E7%A8%8B
pekingzcc
follow
https://zhangchenchen.github.io/
知识共享署名-非商业性使用 4.0 国际许可协议
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
GitHub
follow
https://github.com/zhangchenchen
follow
https://creativecommons.org/licenses/by-nc-sa/4.0/
Hexo
follow
https://hexo.io
NexT.Muse
follow
https://github.com/iissnan/hexo-theme-next