hadoop- cluster setup

本文介绍如何在单节点上进行SSH无密码登录的配置,并详细解释了如何将密钥复制到从节点,实现主节点对从节点的SSH免密登录。此外,还提供了配置主从节点及启动主节点的基本步骤。

1, single node setup

2,Setup passphraseless ssh

Now check that you can ssh to the localhost without a passphrase:
$ ssh localhost

If you cannot ssh to localhost without a passphrase, execute the following commands:
$ ssh-keygen -t dsa -P '' -f ~/.ssh/id_dsa
$ cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys

in slave:

1, scp ~/.ssh/id_dsa.pub XXX.XXX.XXX.XXX:/.ssh/.

2, cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys

so that master can login slave without inputting password by SSH. 


configure master and slaver in conf folder.

startup master, it is ok.


我的自建hadoop集群,3台master和4台core,我在部署完后发现master1的hadoop/logs下的log文件不知道什么原因不写入了,只有out文件在写。正常是out文件很小log文件比较大对吧[ec2-user@hadoop-master01 logs]$ ll total 51876 -rw-rw-r-- 1 ec2-user ec2-user 1019984 Sep 28 18:27 hadoop-ec2-user-historyserver-hadoop-master01.log -rw-rw-r-- 1 ec2-user ec2-user 130399 Oct 16 09:56 hadoop-ec2-user-historyserver-hadoop-master01.out -rw-rw-r-- 1 ec2-user ec2-user 45247 Oct 15 16:22 hadoop-ec2-user-historyserver-hadoop-master01.out.1 -rw-rw-r-- 1 ec2-user ec2-user 51151 Oct 15 16:17 hadoop-ec2-user-historyserver-hadoop-master01.out.2 -rw-rw-r-- 1 ec2-user ec2-user 116382 Oct 15 14:05 hadoop-ec2-user-historyserver-hadoop-master01.out.3 -rw-rw-r-- 1 ec2-user ec2-user 46976 Oct 14 14:33 hadoop-ec2-user-historyserver-hadoop-master01.out.4 -rw-rw-r-- 1 ec2-user ec2-user 46688 Oct 14 13:53 hadoop-ec2-user-historyserver-hadoop-master01.out.5 -rw-rw-r-- 1 ec2-user ec2-user 12621739 Sep 28 18:28 hadoop-ec2-user-journalnode-hadoop-master01.log -rw-rw-r-- 1 ec2-user ec2-user 1339323 Oct 16 09:58 hadoop-ec2-user-journalnode-hadoop-master01.out -rw-rw-r-- 1 ec2-user ec2-user 257238 Oct 15 18:11 hadoop-ec2-user-journalnode-hadoop-master01.out.1 -rw-rw-r-- 1 ec2-user ec2-user 65845 Oct 15 16:22 hadoop-ec2-user-journalnode-hadoop-master01.out.2 -rw-rw-r-- 1 ec2-user ec2-user 66349 Oct 15 16:17 hadoop-ec2-user-journalnode-hadoop-master01.out.3 -rw-rw-r-- 1 ec2-user ec2-user 55910 Oct 15 15:57 hadoop-ec2-user-journalnode-hadoop-master01.out.4 -rw-rw-r-- 1 ec2-user ec2-user 3240752 Oct 15 15:49 hadoop-ec2-user-journalnode-hadoop-master01.out.5 -rw-rw-r-- 1 ec2-user ec2-user 1900111 Oct 16 09:57 hadoop-ec2-user-namenode-hadoop-master01.out -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 18:09 hadoop-ec2-user-namenode-hadoop-master01.out.1 -rw-rw-r-- 1 ec2-user ec2-user 240450 Oct 15 18:09 hadoop-ec2-user-namenode-hadoop-master01.out.2 -rw-rw-r-- 1 ec2-user ec2-user 241594 Oct 15 18:05 hadoop-ec2-user-namenode-hadoop-master01.out.3 -rw-rw-r-- 1 ec2-user ec2-user 236717 Oct 15 17:57 hadoop-ec2-user-namenode-hadoop-master01.out.4 -rw-rw-r-- 1 ec2-user ec2-user 198509 Oct 15 17:40 hadoop-ec2-user-namenode-hadoop-master01.out.5 -rw-rw-r-- 1 ec2-user ec2-user 10266208 Sep 28 18:27 hadoop-ec2-user-resourcemanager-hadoop-master01.log -rw-rw-r-- 1 ec2-user ec2-user 765717 Oct 16 09:23 hadoop-ec2-user-resourcemanager-hadoop-master01.out -rw-rw-r-- 1 ec2-user ec2-user 577288 Oct 15 16:22 hadoop-ec2-user-resourcemanager-hadoop-master01.out.1 -rw-rw-r-- 1 ec2-user ec2-user 572997 Oct 15 16:17 hadoop-ec2-user-resourcemanager-hadoop-master01.out.2 -rw-rw-r-- 1 ec2-user ec2-user 573291 Oct 15 15:33 hadoop-ec2-user-resourcemanager-hadoop-master01.out.3 -rw-rw-r-- 1 ec2-user ec2-user 727212 Oct 15 15:20 hadoop-ec2-user-resourcemanager-hadoop-master01.out.4 -rw-rw-r-- 1 ec2-user ec2-user 848229 Oct 15 15:05 hadoop-ec2-user-resourcemanager-hadoop-master01.out.5 -rw-rw-r-- 1 ec2-user ec2-user 482956 Sep 28 18:27 hadoop-ec2-user-timelineserver-hadoop-master01.log -rw-rw-r-- 1 ec2-user ec2-user 2669030 Oct 16 09:26 hadoop-ec2-user-timelineserver-hadoop-master01.out -rw-rw-r-- 1 ec2-user ec2-user 1069795 Oct 15 16:22 hadoop-ec2-user-timelineserver-hadoop-master01.out.1 -rw-rw-r-- 1 ec2-user ec2-user 1076432 Oct 15 16:17 hadoop-ec2-user-timelineserver-hadoop-master01.out.2 -rw-rw-r-- 1 ec2-user ec2-user 1070341 Oct 15 15:33 hadoop-ec2-user-timelineserver-hadoop-master01.out.3 -rw-rw-r-- 1 ec2-user ec2-user 1064610 Oct 15 15:20 hadoop-ec2-user-timelineserver-hadoop-master01.out.4 -rw-rw-r-- 1 ec2-user ec2-user 3670854 Oct 15 15:06 hadoop-ec2-user-timelineserver-hadoop-master01.out.5 -rw-rw-r-- 1 ec2-user ec2-user 5036578 Sep 28 18:28 hadoop-ec2-user-zkfc-hadoop-master01.log -rw-rw-r-- 1 ec2-user ec2-user 99301 Oct 15 18:12 hadoop-ec2-user-zkfc-hadoop-master01.out -rw-rw-r-- 1 ec2-user ec2-user 195445 Oct 15 18:11 hadoop-ec2-user-zkfc-hadoop-master01.out.1 -rw-rw-r-- 1 ec2-user ec2-user 80419 Oct 15 16:22 hadoop-ec2-user-zkfc-hadoop-master01.out.2 -rw-rw-r-- 1 ec2-user ec2-user 79427 Oct 15 16:17 hadoop-ec2-user-zkfc-hadoop-master01.out.3 -rw-rw-r-- 1 ec2-user ec2-user 80419 Oct 15 15:57 hadoop-ec2-user-zkfc-hadoop-master01.out.4 -rw-rw-r-- 1 ec2-user ec2-user 79427 Oct 15 15:49 hadoop-ec2-user-zkfc-hadoop-master01.out.5 -rw-rw-r-- 1 ec2-user ec2-user 0 Sep 17 11:54 SecurityAuth-ec2-user.audit [ec2-user@hadoop-master01 logs]$ pwd /data/module/hadoop-3.3.4/logs [ec2-user@hadoop-master02 hadoop-3.3.4]$ cd logs/ [ec2-user@hadoop-master02 logs]$ ll total 142064 -rw-rw-r-- 1 ec2-user ec2-user 41175348 Oct 16 09:58 hadoop-ec2-user-journalnode-hadoop-master02.log -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 18:12 hadoop-ec2-user-journalnode-hadoop-master02.out -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 16:23 hadoop-ec2-user-journalnode-hadoop-master02.out.1 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 16:18 hadoop-ec2-user-journalnode-hadoop-master02.out.2 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 15:57 hadoop-ec2-user-journalnode-hadoop-master02.out.3 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 15:49 hadoop-ec2-user-journalnode-hadoop-master02.out.4 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 13 17:36 hadoop-ec2-user-journalnode-hadoop-master02.out.5 -rw-rw-r-- 1 ec2-user ec2-user 87261368 Oct 16 09:57 hadoop-ec2-user-namenode-hadoop-master02.log -rw-rw-r-- 1 ec2-user ec2-user 6371 Oct 15 18:13 hadoop-ec2-user-namenode-hadoop-master02.out -rw-rw-r-- 1 ec2-user ec2-user 6371 Oct 15 17:46 hadoop-ec2-user-namenode-hadoop-master02.out.1 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 16:18 hadoop-ec2-user-namenode-hadoop-master02.out.2 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 15:57 hadoop-ec2-user-namenode-hadoop-master02.out.3 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 15:49 hadoop-ec2-user-namenode-hadoop-master02.out.4 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 13 17:36 hadoop-ec2-user-namenode-hadoop-master02.out.5 -rw-rw-r-- 1 ec2-user ec2-user 11161047 Oct 16 05:24 hadoop-ec2-user-resourcemanager-hadoop-master02.log -rw-rw-r-- 1 ec2-user ec2-user 2218 Oct 15 16:23 hadoop-ec2-user-resourcemanager-hadoop-master02.out -rw-rw-r-- 1 ec2-user ec2-user 2218 Oct 15 16:18 hadoop-ec2-user-resourcemanager-hadoop-master02.out.1 -rw-rw-r-- 1 ec2-user ec2-user 2218 Oct 15 15:34 hadoop-ec2-user-resourcemanager-hadoop-master02.out.2 -rw-rw-r-- 1 ec2-user ec2-user 2218 Oct 15 15:21 hadoop-ec2-user-resourcemanager-hadoop-master02.out.3 -rw-rw-r-- 1 ec2-user ec2-user 2218 Oct 15 15:06 hadoop-ec2-user-resourcemanager-hadoop-master02.out.4 -rw-rw-r-- 1 ec2-user ec2-user 2218 Oct 15 14:23 hadoop-ec2-user-resourcemanager-hadoop-master02.out.5 -rw-rw-r-- 1 ec2-user ec2-user 5751751 Oct 15 18:12 hadoop-ec2-user-zkfc-hadoop-master02.log -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 18:12 hadoop-ec2-user-zkfc-hadoop-master02.out -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 16:23 hadoop-ec2-user-zkfc-hadoop-master02.out.1 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 16:18 hadoop-ec2-user-zkfc-hadoop-master02.out.2 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 15:58 hadoop-ec2-user-zkfc-hadoop-master02.out.3 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 15 15:49 hadoop-ec2-user-zkfc-hadoop-master02.out.4 -rw-rw-r-- 1 ec2-user ec2-user 693 Oct 13 17:36 hadoop-ec2-user-zkfc-hadoop-master02.out.5 -rw-rw-r-- 1 ec2-user ec2-user 0 Sep 17 11:55 SecurityAuth-ec2-user.audit [ec2-user@hadoop-master02 logs]$ pwd /data/module/hadoop-3.3.4/logs 我不记得对master01做过什么了 但他的log就是不写日志了
10-17
源码地址: https://pan.quark.cn/s/a4b39357ea24 遗传算法 - 简书 遗传算法的理论是根据达尔文进化论而设计出来的算法: 人类是朝着好的方向(最优解)进化,进化过程中,会自动选择优良基因,淘汰劣等基因。 遗传算法(英语:genetic algorithm (GA) )是计算数学中用于解决最佳化的搜索算法,是进化算法的一种。 进化算法最初是借鉴了进化生物学中的一些现象而发展起来的,这些现象包括遗传、突变、自然选择、杂交等。 搜索算法的共同特征为: 首先组成一组候选解 依据某些适应性条件测算这些候选解的适应度 根据适应度保留某些候选解,放弃其他候选解 对保留的候选解进行某些操作,生成新的候选解 遗传算法流程 遗传算法的一般步骤 my_fitness函数 评估每条染色体所对应个体的适应度 升序排列适应度评估值,选出 前 parent_number 个 个体作为 待选 parent 种群(适应度函数的值越小越好) 从 待选 parent 种群 中随机选择 2 个个体作为父方和母方。 抽取父母双方的染色体,进行交叉,产生 2 个子代。 (交叉概率) 对子代(parent + 生成的 child)的染色体进行变异。 (变异概率) 重复3,4,5步骤,直到新种群(parentnumber + childnumber)的产生。 循环以上步骤直至找到满意的解。 名词解释 交叉概率:两个个体进行交配的概率。 例如,交配概率为0.8,则80%的“夫妻”会生育后代。 变异概率:所有的基因中发生变异的占总体的比例。 GA函数 适应度函数 适应度函数由解决的问题决定。 举一个平方和的例子。 简单的平方和问题 求函数的最小值,其中每个变量的取值区间都是 [-1, ...
《基于STM32微控制器集成温湿度监测与显示功能的系统实现方案》 本方案提供了一套完整的嵌入式系统设计参考,实现了环境参数的实时采集、可视化呈现与异常状态提示。系统核心采用意法半导体公司生产的STM32系列32位微控制器作为主控单元,负责协调各外设模块的工作流程。 系统通过数字式温湿度复合传感器周期性获取环境参数,该传感器采用单总线通信协议,具有响应迅速、数据可靠的特点。采集到的数值信息通过两种途径进行处理:首先,数据被传输至有机发光二极管显示屏进行实时图形化显示,该显示屏支持高对比度输出,能够在不同光照条件下清晰呈现当前温度与湿度数值;其次,所有采集数据同时通过通用异步收发传输接口输出,可供上位机软件进行记录与分析。 当监测参数超出预设安全范围时,系统会启动声学警示装置,该装置可发出不同频率的提示音,以区分温度异常或湿度异常状态。所有功能模块的驱动代码均采用模块化设计原则编写,包含完整的硬件抽象层接口定义、传感器数据解析算法、显示缓冲区管理机制以及串口通信协议实现。 本参考实现重点阐述了多外设协同工作的时序控制策略、低功耗数据采集模式的应用方法,以及确保系统稳定性的错误处理机制。代码库中包含了详细的初始化配置流程、中断服务程序设计和各功能模块的应用程序接口说明,为嵌入式环境监测系统的开发提供了可靠的技术实现范例。 资源来源于网络分享,仅用于学习交流使用,请勿用于商业,如有侵权请联系我删除!
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