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
本文旨在系统阐述利用MATLAB平台执行多模态语音分离任务的方法,重点围绕LRS3数据集的数据生成流程展开。LRS3(长时RGB+音频语音数据集)作为一个规模庞大的视频与音频集合,整合了丰富的视觉与听觉信息,适用于语音识别、语音分离及情感分析等多种研究场景。MATLAB凭借其高效的数值计算能力与完备的编程环境,成为处理此类多模态任务的适宜工具。 多模态语音分离的核心在于综合利用视觉与听觉等多种输入信息来解析语音信号。具体而言,该任务的目标是从混合音频中分离出不同说话人的声音,并借助视频中的唇部运动信息作为辅助线索。LRS3数据集包含大量同步的视频与音频片段,提供RGB视频、单声道音频及对应的文本转录,为多模态语音处理算法的开发与评估提供了重要平台。其高质量与大容量使其成为该领域的关键资源。 在相关资源包中,主要包含以下两部分内容: 1. 说明文档:该文件详细阐述了项目的整体结构、代码运行方式、预期结果以及可能遇到的问题与解决方案。在进行数据处理或模型训练前,仔细阅读此文档对正确理解与操作代码至关重要。 2. 专用于语音分离任务的LRS3数据集版本:解压后可获得原始的视频、音频及转录文件,这些数据将由MATLAB脚本读取并用于生成后续训练与测试所需的数据。 基于MATLAB的多模态语音分离通常遵循以下步骤: 1. 数据预处理:从LRS3数据集中提取每段视频的音频特征与视觉特征。音频特征可包括梅尔频率倒谱系数、感知线性预测系数等;视觉特征则涉及唇部运动的检测与关键点定位。 2. 特征融合:将提取的音频特征与视觉特征相结合,构建多模态表示。融合方式可采用简单拼接、加权融合或基于深度学习模型的复杂方法。 3. 模型构建:设计并实现用于语音分离的模型。传统方法可采用自适应滤波器或矩阵分解,而深度学习方法如U-Net、Transformer等在多模态学习中表现优异。 4. 训练与优化:使用预处理后的数据对模型进行训练,并通过交叉验证与超参数调整来优化模型性能。 5. 评估与应用:采用信号失真比、信号干扰比及信号伪影比等标准指标评估模型性能。若结果满足要求,该模型可进一步应用于实际语音分离任务。 借助MATLAB强大的矩阵运算功能与信号处理工具箱,上述步骤得以有效实施。需注意的是,多模态任务常需大量计算资源,处理大规模数据集时可能需要对代码进行优化或借助GPU加速。所提供的MATLAB脚本为多模态语音分离研究奠定了基础,通过深入理解与运用这些脚本,研究者可更扎实地掌握语音分离的原理,从而提升其在实用场景中的性能表现。 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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