视频地址：尚硅谷大数据Hadoop教程（Hadoop 3.x安装搭建到集群调优）
- 尚硅谷大数据技术Hadoop教程-笔记01【大数据概论】
- 尚硅谷大数据技术Hadoop教程-笔记02【Hadoop-入门】
- 尚硅谷大数据技术Hadoop教程-笔记03【Hadoop-HDFS】
- 尚硅谷大数据技术Hadoop教程-笔记04【Hadoop-MapReduce】
- 尚硅谷大数据技术Hadoop教程-笔记05【Hadoop-Yarn】
- 尚硅谷大数据技术Hadoop教程-笔记06【Hadoop-生产调优手册】
- 尚硅谷大数据技术Hadoop教程-笔记07【Hadoop-源码解析】
目录
02_尚硅谷大数据技术之Hadoop（入门）V3.3
P007【007_尚硅谷_Hadoop_入门_课程介绍】07:29
P008【008_尚硅谷_Hadoop_入门_Hadoop是什么】03:00
P009【009_尚硅谷_Hadoop_入门_Hadoop发展历史】05:52
P010【010_尚硅谷_Hadoop_入门_Hadoop三大发行版本】05:59
P011【011_尚硅谷_Hadoop_入门_Hadoop优势】03:52
P012【012_尚硅谷_Hadoop_入门_Hadoop1.x2.x3.x区别】03:00
P013【013_尚硅谷_Hadoop_入门_HDFS概述】06:26
P014【014_尚硅谷_Hadoop_入门_YARN概述】06:35
P015【015_尚硅谷_Hadoop_入门_MapReduce概述】01:55
P016【016_尚硅谷_Hadoop_入门_HDFS&YARN&MR关系】03:22
P017【017_尚硅谷_Hadoop_入门_大数据技术生态体系】09:17
P018【018_尚硅谷_Hadoop_入门_VMware安装】04:41
P019【019_尚硅谷_Hadoop_入门_Centos7.5软硬件安装】15:56
P020【020_尚硅谷_Hadoop_入门_IP和主机名称配置】10:50
P021【021_尚硅谷_Hadoop_入门_Xshell远程访问工具】09:05
P022【022_尚硅谷_Hadoop_入门_模板虚拟机准备完成】12:25
P023【023_尚硅谷_Hadoop_入门_克隆三台虚拟机】15:01
P024【024_尚硅谷_Hadoop_入门_JDK安装】07:02
P025【025_尚硅谷_Hadoop_入门_Hadoop安装】07:20
P026【026_尚硅谷_Hadoop_入门_本地运行模式】11:56
P027【027_尚硅谷_Hadoop_入门_scp&rsync命令讲解】15:01
P028【028_尚硅谷_Hadoop_入门_xsync分发脚本】18:14
P029【029_尚硅谷_Hadoop_入门_ssh免密登录】11:25
P030【030_尚硅谷_Hadoop_入门_集群配置】13:24
P031【031_尚硅谷_Hadoop_入门_群起集群并测试】16:52
P032【032_尚硅谷_Hadoop_入门_集群崩溃处理办法】08:10
P033【033_尚硅谷_Hadoop_入门_历史服务器配置】05:26
P034【034_尚硅谷_Hadoop_入门_日志聚集功能配置】05:42
P035【035_尚硅谷_Hadoop_入门_两个常用脚本】09:18
P036【036_尚硅谷_Hadoop_入门_两道面试题】04:15
P037【037_尚硅谷_Hadoop_入门_集群时间同步】11:27
P038【038_尚硅谷_Hadoop_入门_常见问题总结】10:57
02_尚硅谷大数据技术之Hadoop（入门）V3.3
P007【007_尚硅谷_Hadoop_入门_课程介绍】07:29
P008【008_尚硅谷_Hadoop_入门_Hadoop是什么】03:00
P009【009_尚硅谷_Hadoop_入门_Hadoop发展历史】05:52
P010【010_尚硅谷_Hadoop_入门_Hadoop三大发行版本】05:59
Hadoop三大发行版本：Apache、Cloudera、Hortonworks。
1）Apache Hadoop
官网地址：http://hadoop.apache.org
下载地址：https://hadoop.apache.org/releases.html
2）Cloudera Hadoop
官网地址：https://www.cloudera.com/downloads/cdh
下载地址：https://docs.cloudera.com/documentation/enterprise/6/release-notes/topics/rg_cdh_6_download.html
（1）2008年成立的Cloudera是最早将Hadoop商用的公司，为合作伙伴提供Hadoop的商用解决方案，主要是包括支持、咨询服务、培训。
（2）2009年Hadoop的创始人Doug Cutting也加盟Cloudera公司。Cloudera产品主要为CDH，Cloudera Manager，Cloudera Support
（3）CDH是Cloudera的Hadoop发行版，完全开源，比Apache Hadoop在兼容性，安全性，稳定性上有所增强。Cloudera的标价为每年每个节点10000美元。
（4）Cloudera Manager是集群的软件分发及管理监控平台，可以在几个小时内部署好一个Hadoop集群，并对集群的节点及服务进行实时监控。
3）Hortonworks Hadoop
官网地址：https://hortonworks.com/products/data-center/hdp/
下载地址：https://hortonworks.com/downloads/#data-platform
（1）2011年成立的Hortonworks是雅虎与硅谷风投公司Benchmark Capital合资组建。
（2）公司成立之初就吸纳了大约25名至30名专门研究Hadoop的雅虎工程师，上述工程师均在2005年开始协助雅虎开发Hadoop，贡献了Hadoop80%的代码。
（3）Hortonworks的主打产品是Hortonworks Data Platform（HDP），也同样是100%开源的产品，HDP除常见的项目外还包括了Ambari，一款开源的安装和管理系统。
（4）2018年Hortonworks目前已经被Cloudera公司收购。
P011【011_尚硅谷_Hadoop_入门_Hadoop优势】03:52
Hadoop优势（4高）
- 高可靠性
- 高拓展性
- 高效性
- 高容错性
P012【012_尚硅谷_Hadoop_入门_Hadoop1.x2.x3.x区别】03:00
P013【013_尚硅谷_Hadoop_入门_HDFS概述】06:26
Hadoop Distributed File System，简称 HDFS，是一个分布式文件系统。
- 1）NameNode（nn）：存储文件的元数据，如文件名，文件目录结构，文件属性（生成时间、副本数、文件权限），以及每个文件的块列表和块所在的DataNode等。
- 2）DataNode(dn)：在本地文件系统存储文件块数据，以及块数据的校验和。
- 3）Secondary NameNode(2nn)：每隔一段时间对NameNode元数据备份。
P014【014_尚硅谷_Hadoop_入门_YARN概述】06:35
Yet Another Resource Negotiator 简称 YARN ，另一种资源协调者，是 Hadoop 的资源管理器。
P015【015_尚硅谷_Hadoop_入门_MapReduce概述】01:55
MapReduce 将计算过程分为两个阶段：Map 和 Reduce
- 1）Map 阶段并行处理输入数据
- 2）Reduce 阶段对 Map 结果进行汇总
P016【016_尚硅谷_Hadoop_入门_HDFS&YARN&MR关系】03:22
- HDFS
- NameNode：负责数据存储。
- DataNode：数据存储在哪个节点上。
- SecondaryNameNode：秘书，备份NameNode数据恢复NameNode部分工作。
- YARN：整个集群的资源管理。
- ResourceManager：资源管理，map阶段。
- NodeManager
- MapReduce
P017【017_尚硅谷_Hadoop_入门_大数据技术生态体系】09:17
大数据技术生态体系
推荐系统项目框架
P018【018_尚硅谷_Hadoop_入门_VMware安装】04:41
P019【019_尚硅谷_Hadoop_入门_Centos7.5软硬件安装】15:56
P020【020_尚硅谷_Hadoop_入门_IP和主机名称配置】10:50
[root@hadoop100 ~]# vim /etc/sysconfig/network-scripts/ifcfg-ens33
[root@hadoop100 ~]# ifconfig
ens33: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500
inet 192.168.88.133 netmask 255.255.255.0 broadcast 192.168.88.255
inet6 fe80::363b:8659:c323:345d prefixlen 64 scopeid 0x20<link>
ether 00:0c:29:0f:0a:6d txqueuelen 1000 (Ethernet)
RX packets 684561 bytes 1003221355 (956.7 MiB)
RX errors 0 dropped 0 overruns 0 frame 0
TX packets 53538 bytes 3445292 (3.2 MiB)
TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
lo: flags=73<UP,LOOPBACK,RUNNING> mtu 65536
inet 127.0.0.1 netmask 255.0.0.0
inet6 ::1 prefixlen 128 scopeid 0x10<host>
loop txqueuelen 1000 (Local Loopback)
RX packets 84 bytes 9492 (9.2 KiB)
RX errors 0 dropped 0 overruns 0 frame 0
TX packets 84 bytes 9492 (9.2 KiB)
TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
virbr0: flags=4099<UP,BROADCAST,MULTICAST> mtu 1500
inet 192.168.122.1 netmask 255.255.255.0 broadcast 192.168.122.255
ether 52:54:00:1c:3c:a9 txqueuelen 1000 (Ethernet)
RX packets 0 bytes 0 (0.0 B)
RX errors 0 dropped 0 overruns 0 frame 0
TX packets 0 bytes 0 (0.0 B)
TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
[root@hadoop100 ~]# systemctl restart network
[root@hadoop100 ~]# cat /etc/host
cat: /etc/host: 没有那个文件或目录
[root@hadoop100 ~]# cat /etc/hostname
hadoop100
[root@hadoop100 ~]# cat /etc/hosts
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6
[root@hadoop100 ~]# vim /etc/hosts
[root@hadoop100 ~]# ifconfig
ens33: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500
inet 192.168.88.100 netmask 255.255.255.0 broadcast 192.168.88.255
inet6 fe80::363b:8659:c323:345d prefixlen 64 scopeid 0x20<link>
ether 00:0c:29:0f:0a:6d txqueuelen 1000 (Ethernet)
RX packets 684830 bytes 1003244575 (956.7 MiB)
RX errors 0 dropped 0 overruns 0 frame 0
TX packets 53597 bytes 3452600 (3.2 MiB)
TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
lo: flags=73<UP,LOOPBACK,RUNNING> mtu 65536
inet 127.0.0.1 netmask 255.0.0.0
inet6 ::1 prefixlen 128 scopeid 0x10<host>
loop txqueuelen 1000 (Local Loopback)
RX packets 132 bytes 14436 (14.0 KiB)
RX errors 0 dropped 0 overruns 0 frame 0
TX packets 132 bytes 14436 (14.0 KiB)
TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
virbr0: flags=4099<UP,BROADCAST,MULTICAST> mtu 1500
inet 192.168.122.1 netmask 255.255.255.0 broadcast 192.168.122.255
ether 52:54:00:1c:3c:a9 txqueuelen 1000 (Ethernet)
RX packets 0 bytes 0 (0.0 B)
RX errors 0 dropped 0 overruns 0 frame 0
TX packets 0 bytes 0 (0.0 B)
TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0
[root@hadoop100 ~]# ll
总用量 40
-rw-------. 1 root root 1973 3月 14 10:19 anaconda-ks.cfg
-rw-r--r--. 1 root root 2021 3月 14 10:26 initial-setup-ks.cfg
drwxr-xr-x. 2 root root 4096 3月 14 10:27 公共
drwxr-xr-x. 2 root root 4096 3月 14 10:27 模板
drwxr-xr-x. 2 root root 4096 3月 14 10:27 视频
drwxr-xr-x. 2 root root 4096 3月 14 10:27 图片
drwxr-xr-x. 2 root root 4096 3月 14 10:27 文档
drwxr-xr-x. 2 root root 4096 3月 14 10:27 下载
drwxr-xr-x. 2 root root 4096 3月 14 10:27 音乐
drwxr-xr-x. 2 root root 4096 3月 14 10:27 桌面
[root@hadoop100 ~]# vim /etc/sysconfig/network-scripts/ifcfg-ens33
TYPE="Ethernet"
PROXY_METHOD="none"
BROWSER_ONLY="no"
BOOTPROTO="static"
DEFROUTE="yes"
IPV4_FAILURE_FATAL="no"
IPV6INIT="yes"
IPV6_AUTOCONF="yes"
IPV6_DEFROUTE="yes"
IPV6_FAILURE_FATAL="no"
IPV6_ADDR_GEN_MODE="stable-privacy"
NAME="ens33"
UUID="3241b48d-3234-4c23-8a03-b9b393a99a65"
DEVICE="ens33"
ONBOOT="yes"IPADDR=192.168.88.100
GATEWAY=192.168.88.2
DNS1=192.168.88.2vim /etc/hosts
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6192.168.88.100 hadoop100
192.168.88.101 hadoop101
192.168.88.102 hadoop102
192.168.88.103 hadoop103
192.168.88.104 hadoop104
192.168.88.105 hadoop105
192.168.88.106 hadoop106
192.168.88.107 hadoop107
192.168.88.108 hadoop108192.168.88.151 node1 node1.itcast.cn
192.168.88.152 node2 node2.itcast.cn
192.168.88.153 node3 node3.itcast.cn
P021【021_尚硅谷_Hadoop_入门_Xshell远程访问工具】09:05
P022【022_尚硅谷_Hadoop_入门_模板虚拟机准备完成】12:25
yum install -y epel-release
systemctl stop firewalld
systemctl disable firewalld.service
P023【023_尚硅谷_Hadoop_入门_克隆三台虚拟机】15:01
vim /etc/sysconfig/network-scripts/ifcfg-ens33
vim /etc/hostname
reboot
P024【024_尚硅谷_Hadoop_入门_JDK安装】07:02
在hadoop102上安装jdk，然后将jdk拷贝到hadoop103与hadoop104上。
P025【025_尚硅谷_Hadoop_入门_Hadoop安装】07:20
同P024图！
P026【026_尚硅谷_Hadoop_入门_本地运行模式】11:56
Apache Hadoop
http://node1:9870/explorer.html#/
[root@node1 ~]# cd /export/server/hadoop-3.3.0/share/hadoop/mapreduce/
[root@node1 mapreduce]# hadoop jar hadoop-mapreduce-examples-3.3.0.jar wordcount /wordcount/input /wordcount/output
2023-03-20 14:43:07,516 INFO client.DefaultNoHARMFailoverProxyProvider: Connecting to ResourceManager at node1/192.168.88.151:8032
2023-03-20 14:43:09,291 INFO mapreduce.JobResourceUploader: Disabling Erasure Coding for path: /tmp/hadoop-yarn/staging/root/.staging/job_1679293699463_0001
2023-03-20 14:43:11,916 INFO input.FileInputFormat: Total input files to process : 1
2023-03-20 14:43:12,313 INFO mapreduce.JobSubmitter: number of splits:1
2023-03-20 14:43:13,173 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1679293699463_0001
2023-03-20 14:43:13,173 INFO mapreduce.JobSubmitter: Executing with tokens: []
2023-03-20 14:43:14,684 INFO conf.Configuration: resource-types.xml not found
2023-03-20 14:43:14,684 INFO resource.ResourceUtils: Unable to find 'resource-types.xml'.
2023-03-20 14:43:17,054 INFO impl.YarnClientImpl: Submitted application application_1679293699463_0001
2023-03-20 14:43:17,123 INFO mapreduce.Job: The url to track the job: http://node1:8088/proxy/application_1679293699463_0001/
2023-03-20 14:43:17,124 INFO mapreduce.Job: Running job: job_1679293699463_0001
2023-03-20 14:43:52,340 INFO mapreduce.Job: Job job_1679293699463_0001 running in uber mode : false
2023-03-20 14:43:52,360 INFO mapreduce.Job: map 0% reduce 0%
2023-03-20 14:44:08,011 INFO mapreduce.Job: map 100% reduce 0%
2023-03-20 14:44:16,986 INFO mapreduce.Job: map 100% reduce 100%
2023-03-20 14:44:18,020 INFO mapreduce.Job: Job job_1679293699463_0001 completed successfully
2023-03-20 14:44:18,579 INFO mapreduce.Job: Counters: 54
File System Counters
FILE: Number of bytes read=31
FILE: Number of bytes written=529345
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=142
HDFS: Number of bytes written=17
HDFS: Number of read operations=8
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
HDFS: Number of bytes read erasure-coded=0
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=11303
Total time spent by all reduces in occupied slots (ms)=6220
Total time spent by all map tasks (ms)=11303
Total time spent by all reduce tasks (ms)=6220
Total vcore-milliseconds taken by all map tasks=11303
Total vcore-milliseconds taken by all reduce tasks=6220
Total megabyte-milliseconds taken by all map tasks=11574272
Total megabyte-milliseconds taken by all reduce tasks=6369280
Map-Reduce Framework
Map input records=2
Map output records=5
Map output bytes=53
Map output materialized bytes=31
Input split bytes=108
Combine input records=5
Combine output records=2
Reduce input groups=2
Reduce shuffle bytes=31
Reduce input records=2
Reduce output records=2
Spilled Records=4
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=546
CPU time spent (ms)=3680
Physical memory (bytes) snapshot=499236864
Virtual memory (bytes) snapshot=5568684032
Total committed heap usage (bytes)=365953024
Peak Map Physical memory (bytes)=301096960
Peak Map Virtual memory (bytes)=2779201536
Peak Reduce Physical memory (bytes)=198139904
Peak Reduce Virtual memory (bytes)=2789482496
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=34
File Output Format Counters
Bytes Written=17
[root@node1 mapreduce]#
[root@node1 mapreduce]# hadoop jar hadoop-mapreduce-examples-3.3.0.jar wordcount /wc_input /wc_output
2023-03-20 15:01:48,007 INFO client.DefaultNoHARMFailoverProxyProvider: Connecting to ResourceManager at node1/192.168.88.151:8032
2023-03-20 15:01:49,475 INFO mapreduce.JobResourceUploader: Disabling Erasure Coding for path: /tmp/hadoop-yarn/staging/root/.staging/job_1679293699463_0002
2023-03-20 15:01:50,522 INFO input.FileInputFormat: Total input files to process : 1
2023-03-20 15:01:51,010 INFO mapreduce.JobSubmitter: number of splits:1
2023-03-20 15:01:51,894 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1679293699463_0002
2023-03-20 15:01:51,894 INFO mapreduce.JobSubmitter: Executing with tokens: []
2023-03-20 15:01:52,684 INFO conf.Configuration: resource-types.xml not found
2023-03-20 15:01:52,687 INFO resource.ResourceUtils: Unable to find 'resource-types.xml'.
2023-03-20 15:01:53,237 INFO impl.YarnClientImpl: Submitted application application_1679293699463_0002
2023-03-20 15:01:53,487 INFO mapreduce.Job: The url to track the job: http://node1:8088/proxy/application_1679293699463_0002/
2023-03-20 15:01:53,492 INFO mapreduce.Job: Running job: job_1679293699463_0002
2023-03-20 15:02:15,329 INFO mapreduce.Job: Job job_1679293699463_0002 running in uber mode : false
2023-03-20 15:02:15,342 INFO mapreduce.Job: map 0% reduce 0%
2023-03-20 15:02:26,652 INFO mapreduce.Job: map 100% reduce 0%
2023-03-20 15:02:40,297 INFO mapreduce.Job: map 100% reduce 100%
2023-03-20 15:02:41,350 INFO mapreduce.Job: Job job_1679293699463_0002 completed successfully
2023-03-20 15:02:41,557 INFO mapreduce.Job: Counters: 54
File System Counters
FILE: Number of bytes read=60
FILE: Number of bytes written=529375
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=149
HDFS: Number of bytes written=38
HDFS: Number of read operations=8
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
HDFS: Number of bytes read erasure-coded=0
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=8398
Total time spent by all reduces in occupied slots (ms)=9720
Total time spent by all map tasks (ms)=8398
Total time spent by all reduce tasks (ms)=9720
Total vcore-milliseconds taken by all map tasks=8398
Total vcore-milliseconds taken by all reduce tasks=9720
Total megabyte-milliseconds taken by all map tasks=8599552
Total megabyte-milliseconds taken by all reduce tasks=9953280
Map-Reduce Framework
Map input records=4
Map output records=6
Map output bytes=69
Map output materialized bytes=60
Input split bytes=100
Combine input records=6
Combine output records=4
Reduce input groups=4
Reduce shuffle bytes=60
Reduce input records=4
Reduce output records=4
Spilled Records=8
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=1000
CPU time spent (ms)=3880
Physical memory (bytes) snapshot=503771136
Virtual memory (bytes) snapshot=5568987136
Total committed heap usage (bytes)=428343296
Peak Map Physical memory (bytes)=303013888
Peak Map Virtual memory (bytes)=2782048256
Peak Reduce Physical memory (bytes)=200757248
Peak Reduce Virtual memory (bytes)=2786938880
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=49
File Output Format Counters
Bytes Written=38
[root@node1 mapreduce]# pwd
/export/server/hadoop-3.3.0/share/hadoop/mapreduce
[root@node1 mapreduce]# P027【027_尚硅谷_Hadoop_入门_scp&rsync命令讲解】15:01
第一次同步用scp，后续同步用rsync。
rsync主要用于备份和镜像，具有速度快、避免复制相同内容和支持符号链接的优点。
rsync和scp区别：用rsync做文件的复制要比scp的速度快，rsync只对差异文件做更新。scp是把所有文件都复制过去。
P028【028_尚硅谷_Hadoop_入门_xsync分发脚本】18:14
拷贝同步命令
- scp（secure copy）安全拷贝
- rsync 远程同步工具
- xsync 集群分发脚本
dirname命令：截取文件的路径，去除文件名中的非目录部分，仅显示与目录有关的内容。
[root@node1 ~]# dirname /home/atguigu/a.txt
/home/atguigu
[root@node1 ~]#basename命令：获取文件名称。
[root@node1 atguigu]# basename /home/atguigu/a.txt
a.txt
[root@node1 atguigu]#
#!/bin/bash
#1. 判断参数个数
if [ $# -lt 1 ]
then
echo Not Enough Arguement!
exit;
fi
#2. 遍历集群所有机器
for host in hadoop102 hadoop103 hadoop104
do
echo ==================== $host ====================
#3. 遍历所有目录，挨个发送
for file in $@
do
#4. 判断文件是否存在
if [ -e $file ]
then
#5. 获取父目录
pdir=$(cd -P $(dirname $file); pwd)
#6. 获取当前文件的名称
fname=$(basename $file)
ssh $host "mkdir -p $pdir"
rsync -av $pdir/$fname $host:$pdir
else
echo $file does not exists!
fi
done
done[root@node1 bin]# chmod 777 xsync
[root@node1 bin]# ll
总用量 4
-rwxrwxrwx 1 atguigu atguigu 727 3月 20 16:00 xsync
[root@node1 bin]# cd ..
[root@node1 atguigu]# xsync bin/
==================== node1 ====================
sending incremental file list
sent 94 bytes received 17 bytes 222.00 bytes/sec
total size is 727 speedup is 6.55
==================== node2 ====================
sending incremental file list
bin/
bin/xsync
sent 871 bytes received 39 bytes 606.67 bytes/sec
total size is 727 speedup is 0.80
==================== node3 ====================
sending incremental file list
bin/
bin/xsync
sent 871 bytes received 39 bytes 1,820.00 bytes/sec
total size is 727 speedup is 0.80
[root@node1 atguigu]# pwd
/home/atguigu
[root@node1 atguigu]# ls -al
总用量 20
drwx------ 6 atguigu atguigu 168 3月 20 15:56 .
drwxr-xr-x. 6 root root 56 3月 20 10:08 ..
-rw-r--r-- 1 root root 0 3月 20 15:44 a.txt
-rw------- 1 atguigu atguigu 21 3月 20 11:48 .bash_history
-rw-r--r-- 1 atguigu atguigu 18 8月 8 2019 .bash_logout
-rw-r--r-- 1 atguigu atguigu 193 8月 8 2019 .bash_profile
-rw-r--r-- 1 atguigu atguigu 231 8月 8 2019 .bashrc
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
drwxrwxr-x 3 atguigu atguigu 18 3月 20 10:17 .cache
drwxrwxr-x 3 atguigu atguigu 18 3月 20 10:17 .config
drwxr-xr-x 4 atguigu atguigu 39 3月 10 20:04 .mozilla
-rw------- 1 atguigu atguigu 1261 3月 20 15:56 .viminfo
[root@node1 atguigu]# 连接成功
Last login: Mon Mar 20 16:01:40 2023
[root@node1 ~]# su atguigu
[atguigu@node1 root]$ cd /home/atguigu/
[atguigu@node1 ~]$ pwd
/home/atguigu
[atguigu@node1 ~]$ xsync bin/
==================== node1 ====================
The authenticity of host 'node1 (192.168.88.151)' can't be established.
ECDSA key fingerprint is SHA256:+eLT3FrOEuEsxBxjOd89raPi/ChJz26WGAfqBpz/KEk.
ECDSA key fingerprint is MD5:18:42:ad:0f:2b:97:d8:b5:68:14:6a:98:e9:72:db:bb.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'node1,192.168.88.151' (ECDSA) to the list of known hosts.
atguigu@node1's password:
atguigu@node1's password:
sending incremental file list
sent 98 bytes received 17 bytes 17.69 bytes/sec
total size is 727 speedup is 6.32
==================== node2 ====================
The authenticity of host 'node2 (192.168.88.152)' can't be established.
ECDSA key fingerprint is SHA256:+eLT3FrOEuEsxBxjOd89raPi/ChJz26WGAfqBpz/KEk.
ECDSA key fingerprint is MD5:18:42:ad:0f:2b:97:d8:b5:68:14:6a:98:e9:72:db:bb.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'node2,192.168.88.152' (ECDSA) to the list of known hosts.
atguigu@node2's password:
atguigu@node2's password:
sending incremental file list
sent 94 bytes received 17 bytes 44.40 bytes/sec
total size is 727 speedup is 6.55
==================== node3 ====================
The authenticity of host 'node3 (192.168.88.153)' can't be established.
ECDSA key fingerprint is SHA256:+eLT3FrOEuEsxBxjOd89raPi/ChJz26WGAfqBpz/KEk.
ECDSA key fingerprint is MD5:18:42:ad:0f:2b:97:d8:b5:68:14:6a:98:e9:72:db:bb.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'node3,192.168.88.153' (ECDSA) to the list of known hosts.
atguigu@node3's password:
atguigu@node3's password:
sending incremental file list
sent 94 bytes received 17 bytes 44.40 bytes/sec
total size is 727 speedup is 6.55
[atguigu@node1 ~]$
----------------------------------------------------------------------------------------
连接成功
Last login: Mon Mar 20 17:22:20 2023 from 192.168.88.151
[root@node2 ~]# su atguigu
[atguigu@node2 root]$ vim /etc/sudoers
您在 /var/spool/mail/root 中有新邮件
[atguigu@node2 root]$ su root
密码：
[root@node2 ~]# vim /etc/sudoers
[root@node2 ~]# cd /opt/
[root@node2 opt]# ll
总用量 0
drwxr-xr-x 4 atguigu atguigu 46 3月 20 11:32 module
drwxr-xr-x. 2 root root 6 10月 31 2018 rh
drwxr-xr-x 2 atguigu atguigu 67 3月 20 10:47 software
[root@node2 opt]# su atguigu
[atguigu@node2 opt]$ cd /home/atguigu/
[atguigu@node2 ~]$ llk
bash: llk: 未找到命令
[atguigu@node2 ~]$ ll
总用量 0
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
[atguigu@node2 ~]$ cd ~
您在 /var/spool/mail/root 中有新邮件
[atguigu@node2 ~]$ ll
总用量 0
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
[atguigu@node2 ~]$ ll
总用量 0
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
您在 /var/spool/mail/root 中有新邮件
[atguigu@node2 ~]$ cd bin
[atguigu@node2 bin]$ ll
总用量 4
-rwxrwxrwx 1 atguigu atguigu 727 3月 20 16:00 xsync
[atguigu@node2 bin]$
----------------------------------------------------------------------------------------
连接成功
Last login: Mon Mar 20 17:22:26 2023 from 192.168.88.152
[root@node3 ~]# vim /etc/sudoers
您在 /var/spool/mail/root 中有新邮件
[root@node3 ~]# cd /opt/
[root@node3 opt]# ll
总用量 0
drwxr-xr-x 4 atguigu atguigu 46 3月 20 11:32 module
drwxr-xr-x. 2 root root 6 10月 31 2018 rh
drwxr-xr-x 2 atguigu atguigu 67 3月 20 10:47 software
[root@node3 opt]# cd ~
您在 /var/spool/mail/root 中有新邮件
[root@node3 ~]# ll
总用量 4
-rw-------. 1 root root 1340 9月 11 2020 anaconda-ks.cfg
-rw------- 1 root root 0 2月 23 16:20 nohup.out
[root@node3 ~]# ll
总用量 4
-rw-------. 1 root root 1340 9月 11 2020 anaconda-ks.cfg
-rw------- 1 root root 0 2月 23 16:20 nohup.out
您在 /var/spool/mail/root 中有新邮件
[root@node3 ~]# cd ~
[root@node3 ~]# ll
总用量 4
-rw-------. 1 root root 1340 9月 11 2020 anaconda-ks.cfg
-rw------- 1 root root 0 2月 23 16:20 nohup.out
[root@node3 ~]# su atguigu
[atguigu@node3 root]$ cd ~
[atguigu@node3 ~]$ ls
bin
[atguigu@node3 ~]$ ll
总用量 0
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
[atguigu@node3 ~]$ cd bin
[atguigu@node3 bin]$ ll
总用量 4
-rwxrwxrwx 1 atguigu atguigu 727 3月 20 16:00 xsync
[atguigu@node3 bin]$
----------------------------------------------------------------------------------------
连接成功
Last login: Mon Mar 20 16:01:40 2023
[root@node1 ~]# su atguigu
[atguigu@node1 root]$ cd /home/atguigu/
[atguigu@node1 ~]$ pwd
/home/atguigu
[atguigu@node1 ~]$ xsync bin/
==================== node1 ====================
The authenticity of host 'node1 (192.168.88.151)' can't be established.
ECDSA key fingerprint is SHA256:+eLT3FrOEuEsxBxjOd89raPi/ChJz26WGAfqBpz/KEk.
ECDSA key fingerprint is MD5:18:42:ad:0f:2b:97:d8:b5:68:14:6a:98:e9:72:db:bb.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'node1,192.168.88.151' (ECDSA) to the list of known hosts.
atguigu@node1's password:
atguigu@node1's password:
sending incremental file list
sent 98 bytes received 17 bytes 17.69 bytes/sec
total size is 727 speedup is 6.32
==================== node2 ====================
The authenticity of host 'node2 (192.168.88.152)' can't be established.
ECDSA key fingerprint is SHA256:+eLT3FrOEuEsxBxjOd89raPi/ChJz26WGAfqBpz/KEk.
ECDSA key fingerprint is MD5:18:42:ad:0f:2b:97:d8:b5:68:14:6a:98:e9:72:db:bb.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'node2,192.168.88.152' (ECDSA) to the list of known hosts.
atguigu@node2's password:
atguigu@node2's password:
sending incremental file list
sent 94 bytes received 17 bytes 44.40 bytes/sec
total size is 727 speedup is 6.55
==================== node3 ====================
The authenticity of host 'node3 (192.168.88.153)' can't be established.
ECDSA key fingerprint is SHA256:+eLT3FrOEuEsxBxjOd89raPi/ChJz26WGAfqBpz/KEk.
ECDSA key fingerprint is MD5:18:42:ad:0f:2b:97:d8:b5:68:14:6a:98:e9:72:db:bb.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'node3,192.168.88.153' (ECDSA) to the list of known hosts.
atguigu@node3's password:
atguigu@node3's password:
sending incremental file list
sent 94 bytes received 17 bytes 44.40 bytes/sec
total size is 727 speedup is 6.55
[atguigu@node1 ~]$ xsync /etc/profile.d/my_env.sh
==================== node1 ====================
atguigu@node1's password:
atguigu@node1's password:
.sending incremental file list
sent 48 bytes received 12 bytes 13.33 bytes/sec
total size is 223 speedup is 3.72
==================== node2 ====================
atguigu@node2's password:
atguigu@node2's password:
sending incremental file list
my_env.sh
rsync: mkstemp "/etc/profile.d/.my_env.sh.guTzvB" failed: Permission denied (13)
sent 95 bytes received 126 bytes 88.40 bytes/sec
total size is 223 speedup is 1.01
rsync error: some files/attrs were not transferred (see previous errors) (code 23) at main.c(1178) [sender=3.1.2]
==================== node3 ====================
atguigu@node3's password:
atguigu@node3's password:
sending incremental file list
my_env.sh
rsync: mkstemp "/etc/profile.d/.my_env.sh.evDUZa" failed: Permission denied (13)
sent 95 bytes received 126 bytes 88.40 bytes/sec
total size is 223 speedup is 1.01
rsync error: some files/attrs were not transferred (see previous errors) (code 23) at main.c(1178) [sender=3.1.2]
[atguigu@node1 ~]$ sudo ./bin/xsync /etc/profile.d/my_env.sh
==================== node1 ====================
sending incremental file list
sent 48 bytes received 12 bytes 120.00 bytes/sec
total size is 223 speedup is 3.72
==================== node2 ====================
sending incremental file list
my_env.sh
sent 95 bytes received 41 bytes 272.00 bytes/sec
total size is 223 speedup is 1.64
==================== node3 ====================
sending incremental file list
my_env.sh
sent 95 bytes received 41 bytes 272.00 bytes/sec
total size is 223 speedup is 1.64
[atguigu@node1 ~]$
P029【029_尚硅谷_Hadoop_入门_ssh免密登录】11:25
连接成功
Last login: Mon Mar 20 19:14:44 2023 from 192.168.88.1
[root@node1 ~]# su atguigu
[atguigu@node1 root]$ pwd
/root
[atguigu@node1 root]$ cd ~
[atguigu@node1 ~]$ pwd
/home/atguigu
[atguigu@node1 ~]$ ls -al
总用量 20
drwx------ 7 atguigu atguigu 180 3月 20 19:22 .
drwxr-xr-x. 6 root root 56 3月 20 10:08 ..
-rw-r--r-- 1 root root 0 3月 20 15:44 a.txt
-rw------- 1 atguigu atguigu 391 3月 20 19:36 .bash_history
-rw-r--r-- 1 atguigu atguigu 18 8月 8 2019 .bash_logout
-rw-r--r-- 1 atguigu atguigu 193 8月 8 2019 .bash_profile
-rw-r--r-- 1 atguigu atguigu 231 8月 8 2019 .bashrc
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
drwxrwxr-x 3 atguigu atguigu 18 3月 20 10:17 .cache
drwxrwxr-x 3 atguigu atguigu 18 3月 20 10:17 .config
drwxr-xr-x 4 atguigu atguigu 39 3月 10 20:04 .mozilla
drwx------ 2 atguigu atguigu 25 3月 20 19:22 .ssh
-rw------- 1 atguigu atguigu 1261 3月 20 15:56 .viminfo
[atguigu@node1 ~]$ cd .ssh
[atguigu@node1 .ssh]$ ll
总用量 4
-rw-r--r-- 1 atguigu atguigu 546 3月 20 19:23 known_hosts
[atguigu@node1 .ssh]$ cat known_hosts
node1,192.168.88.151 ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBBH5t/7/J0WwO0GTeNpg3EjfM5PjoppHMfq+wCWp46lhQ/B6O6kTOdx+2mEZu9QkAJk9oM4RGqiZKA5vmifHkQQ=
node2,192.168.88.152 ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBBH5t/7/J0WwO0GTeNpg3EjfM5PjoppHMfq+wCWp46lhQ/B6O6kTOdx+2mEZu9QkAJk9oM4RGqiZKA5vmifHkQQ=
node3,192.168.88.153 ecdsa-sha2-nistp256 AAAAE2VjZHNhLXNoYTItbmlzdHAyNTYAAAAIbmlzdHAyNTYAAABBBBH5t/7/J0WwO0GTeNpg3EjfM5PjoppHMfq+wCWp46lhQ/B6O6kTOdx+2mEZu9QkAJk9oM4RGqiZKA5vmifHkQQ=
[atguigu@node1 .ssh]$ ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/home/atguigu/.ssh/id_rsa):
Enter passphrase (empty for no passphrase):
Enter same passphrase again:
Your identification has been saved in /home/atguigu/.ssh/id_rsa.
Your public key has been saved in /home/atguigu/.ssh/id_rsa.pub.
The key fingerprint is:
SHA256:CBFD39JBRh/GgmTTIsC+gJVjWDQWFyE5riX287PXfzc atguigu@node1.itcast.cn
The key's randomart image is:
+---[RSA 2048]----+
| =O*O=+==.o |
|..O+.=o=o+.. |
|.= o..o.o.. |
|+.+ . o |
|.=.. . S |
|. .o |
| o . |
| o . . . E |
| .+ ... . .|
+----[SHA256]-----+
[atguigu@node1 .ssh]$
[atguigu@node1 .ssh]$ ll
总用量 12
-rw------- 1 atguigu atguigu 1679 3月 20 19:40 id_rsa
-rw-r--r-- 1 atguigu atguigu 405 3月 20 19:40 id_rsa.pub
-rw-r--r-- 1 atguigu atguigu 546 3月 20 19:23 known_hosts
[atguigu@node1 .ssh]$ cat id_rsa
-----BEGIN RSA PRIVATE KEY-----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-----END RSA PRIVATE KEY-----
[atguigu@node1 .ssh]$ cat id_rsa.pub
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDRrdLn5Bwi+N7B85ggdOWeXNtCBXtj3YkLpky3VcaSW9rnevAISF/3K99wzVVMEM1gfK+Xr6tMopTwQdN+kShhrluUHb31l8qQzg7E+RwT2fPu5M1PJgXzjABHUggS1PVstUk/KH8e+HzJ7pQyPU+FkgZ+U2NsbBiQmgMrfBfHBoPjF7JjTNUKAvtAOo0PQjDxdCsJJDxxBWBsHGmtRi73v6f/sY6zRYBILqC2tb0iSzEe1IGkjqJ4pXO/1+5ZxuFvwLnDsGp1VTqOsqqjsWdBoMoE10LjB46S7hMD5t4elzhbenx/xv5vdT4DSo6P65FVfu4OjG66cfjECOqfxOY9 atguigu@node1.itcast.cn
[atguigu@node1 .ssh]$ ssh-copy-id node2
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/home/atguigu/.ssh/id_rsa.pub"
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
atguigu@node2's password:
Permission denied, please try again.
atguigu@node2's password:
Number of key(s) added: 1
Now try logging into the machine, with: "ssh 'node2'"
and check to make sure that only the key(s) you wanted were added.
[atguigu@node1 .ssh]$ ssh node2
Last login: Mon Mar 20 19:37:14 2023
[atguigu@node2 ~]$ hostname
node2.itcast.cn
[atguigu@node2 ~]$ exit
登出
Connection to node2 closed.
[atguigu@node1 .ssh]$ ssh-copy-id node3
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/home/atguigu/.ssh/id_rsa.pub"
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
atguigu@node3's password:
Number of key(s) added: 1
Now try logging into the machine, with: "ssh 'node3'"
and check to make sure that only the key(s) you wanted were added.
[atguigu@node1 .ssh]$ ssh node3
Last login: Mon Mar 20 19:37:33 2023
[atguigu@node3 ~]$ hostname
node3.itcast.cn
[atguigu@node3 ~]$ exit
登出
Connection to node3 closed.
[atguigu@node1 .ssh]$ ssh node1
atguigu@node1's password:
Last login: Mon Mar 20 19:36:46 2023
[atguigu@node1 ~]$ exit
登出
Connection to node1 closed.
[atguigu@node1 .ssh]$ ssh-copy-id node1
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/home/atguigu/.ssh/id_rsa.pub"
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
atguigu@node1's password:
Number of key(s) added: 1
Now try logging into the machine, with: "ssh 'node1'"
and check to make sure that only the key(s) you wanted were added.
[atguigu@node1 .ssh]$ ll
总用量 16
-rw------- 1 atguigu atguigu 405 3月 20 19:45 authorized_keys
-rw------- 1 atguigu atguigu 1679 3月 20 19:40 id_rsa
-rw-r--r-- 1 atguigu atguigu 405 3月 20 19:40 id_rsa.pub
-rw-r--r-- 1 atguigu atguigu 546 3月 20 19:23 known_hosts
[atguigu@node1 .ssh]$ cat authorized_keys
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDRrdLn5Bwi+N7B85ggdOWeXNtCBXtj3YkLpky3VcaSW9rnevAISF/3K99wzVVMEM1gfK+Xr6tMopTwQdN+kShhrluUHb31l8qQzg7E+RwT2fPu5M1PJgXzjABHUggS1PVstUk/KH8e+HzJ7pQyPU+FkgZ+U2NsbBiQmgMrfBfHBoPjF7JjTNUKAvtAOo0PQjDxdCsJJDxxBWBsHGmtRi73v6f/sY6zRYBILqC2tb0iSzEe1IGkjqJ4pXO/1+5ZxuFvwLnDsGp1VTqOsqqjsWdBoMoE10LjB46S7hMD5t4elzhbenx/xv5vdT4DSo6P65FVfu4OjG66cfjECOqfxOY9 atguigu@node1.itcast.cn
[atguigu@node1 .ssh]$ pwd
/home/atguigu/.ssh
[atguigu@node1 .ssh]$ su root
密码：
[root@node1 .ssh]# ll
总用量 16
-rw------- 1 atguigu atguigu 810 3月 20 19:51 authorized_keys
-rw------- 1 atguigu atguigu 1679 3月 20 19:40 id_rsa
-rw-r--r-- 1 atguigu atguigu 405 3月 20 19:40 id_rsa.pub
-rw-r--r-- 1 atguigu atguigu 546 3月 20 19:23 known_hosts
[root@node1 .ssh]# ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/root/.ssh/id_rsa):
/root/.ssh/id_rsa already exists.
Overwrite (y/n)?
[root@node1 .ssh]# ssh-copy-id node1
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: WARNING: All keys were skipped because they already exist on the remote system.
(if you think this is a mistake, you may want to use -f option)
[root@node1 .ssh]# ssh-copy-id node2
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: WARNING: All keys were skipped because they already exist on the remote system.
(if you think this is a mistake, you may want to use -f option)
[root@node1 .ssh]# ssh-copy-id node3
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: WARNING: All keys were skipped because they already exist on the remote system.
(if you think this is a mistake, you may want to use -f option)
[root@node1 .ssh]# su atguigu
[atguigu@node1 .ssh]$ cd ~
[atguigu@node1 ~]$ xsync hello.txt
==================== node1 ====================
hello.txt does not exists!
==================== node2 ====================
hello.txt does not exists!
==================== node3 ====================
hello.txt does not exists!
[atguigu@node1 ~]$ pwd
/home/atguigu
[atguigu@node1 ~]$ cd /home/atguigu/
[atguigu@node1 ~]$ xsync hello.txt
==================== node1 ====================
hello.txt does not exists!
==================== node2 ====================
hello.txt does not exists!
==================== node3 ====================
hello.txt does not exists!
[atguigu@node1 ~]$ xsync a.txt
==================== node1 ====================
sending incremental file list
sent 43 bytes received 12 bytes 110.00 bytes/sec
total size is 3 speedup is 0.05
==================== node2 ====================
sending incremental file list
a.txt
sent 93 bytes received 35 bytes 256.00 bytes/sec
total size is 3 speedup is 0.02
==================== node3 ====================
sending incremental file list
a.txt
sent 93 bytes received 35 bytes 256.00 bytes/sec
total size is 3 speedup is 0.02
[atguigu@node1 ~]$
----------------------------------------------------------------------------------------
连接成功
Last login: Mon Mar 20 19:17:38 2023
[root@node2 ~]# su atguigu
[atguigu@node2 root]$ cd ~
[atguigu@node2 ~]$ pwd
/home/atguigu
[atguigu@node2 ~]$ ls -al
总用量 20
drwx------ 5 atguigu atguigu 139 3月 20 19:17 .
drwxr-xr-x. 3 root root 21 3月 20 10:08 ..
-rw------- 1 atguigu atguigu 108 3月 20 19:36 .bash_history
-rw-r--r-- 1 atguigu atguigu 18 8月 8 2019 .bash_logout
-rw-r--r-- 1 atguigu atguigu 193 8月 8 2019 .bash_profile
-rw-r--r-- 1 atguigu atguigu 231 8月 8 2019 .bashrc
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
drwxrwxr-x 3 atguigu atguigu 18 3月 20 10:17 .cache
drwxrwxr-x 3 atguigu atguigu 18 3月 20 10:17 .config
-rw------- 1 atguigu atguigu 557 3月 20 19:17 .viminfo
[atguigu@node2 ~]$
连接断开
连接成功
Last login: Mon Mar 20 19:36:35 2023 from 192.168.88.1
[root@node2 ~]# cd /home/atguigu/.ssh/
您在 /var/spool/mail/root 中有新邮件
[root@node2 .ssh]# ll
总用量 4
-rw------- 1 atguigu atguigu 405 3月 20 19:43 authorized_keys
[root@node2 .ssh]# cat authorized_keys
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDRrdLn5Bwi+N7B85ggdOWeXNtCBXtj3YkLpky3VcaSW9rnevAISF/3K99wzVVMEM1gfK+Xr6tMopTwQdN+kShhrluUHb31l8qQzg7E+RwT2fPu5M1PJgXzjABHUggS1PVstUk/KH8e+HzJ7pQyPU+FkgZ+U2NsbBiQmgMrfBfHBoPjF7JjTNUKAvtAOo0PQjDxdCsJJDxxBWBsHGmtRi73v6f/sY6zRYBILqC2tb0iSzEe1IGkjqJ4pXO/1+5ZxuFvwLnDsGp1VTqOsqqjsWdBoMoE10LjB46S7hMD5t4elzhbenx/xv5vdT4DSo6P65FVfu4OjG66cfjECOqfxOY9 atguigu@node1.itcast.cn
[root@node2 .ssh]# ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/root/.ssh/id_rsa):
/root/.ssh/id_rsa already exists.
Overwrite (y/n)? y
Enter passphrase (empty for no passphrase):
Enter same passphrase again:
Your identification has been saved in /root/.ssh/id_rsa.
Your public key has been saved in /root/.ssh/id_rsa.pub.
The key fingerprint is:
SHA256:rKXFOBLTEYhuY0iBovwDyguTlvqAZozIMIiAHWhaWyI root@node2.itcast.cn
The key's randomart image is:
+---[RSA 2048]----+
|.oo. .o. |
|E++.o. . |
|X=.+o . |
|Bo* o + |
|B++.. o S |
|%= o . * |
|O*. . o |
|+o |
| .. |
+----[SHA256]-----+
您在 /var/spool/mail/root 中有新邮件
[root@node2 .ssh]# ssh-copy-id node1
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
root@node1's password:
Number of key(s) added: 1
Now try logging into the machine, with: "ssh 'node1'"
and check to make sure that only the key(s) you wanted were added.
[root@node2 .ssh]# ll
总用量 4
-rw------- 1 atguigu atguigu 405 3月 20 19:43 authorized_keys
[root@node2 .ssh]# ssh-copy-id node3
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
root@node3's password:
Number of key(s) added: 1
Now try logging into the machine, with: "ssh 'node3'"
and check to make sure that only the key(s) you wanted were added.
[root@node2 .ssh]# ll
总用量 4
-rw------- 1 atguigu atguigu 810 3月 20 19:51 authorized_keys
您在 /var/spool/mail/root 中有新邮件
[root@node2 .ssh]# ssh node2
root@node2's password:
Last login: Mon Mar 20 19:38:58 2023 from 192.168.88.1
[root@node2 ~]# ls -al
总用量 56
dr-xr-x---. 7 root root 4096 3月 20 19:18 .
dr-xr-xr-x. 18 root root 258 10月 26 2021 ..
-rw-r--r-- 1 root root 4 2月 22 11:10 111.txt
-rw-r--r-- 1 root root 2 2月 22 11:08 1.txt
-rw-r--r-- 1 root root 2 2月 22 11:09 2.txt
-rw-r--r-- 1 root root 2 2月 22 11:09 3.txt
-rw-------. 1 root root 1340 9月 11 2020 anaconda-ks.cfg
-rw-------. 1 root root 3555 3月 20 19:38 .bash_history
-rw-r--r--. 1 root root 18 12月 29 2013 .bash_logout
-rw-r--r--. 1 root root 176 12月 29 2013 .bash_profile
-rw-r--r--. 1 root root 176 12月 29 2013 .bashrc
drwxr-xr-x. 3 root root 18 9月 11 2020 .cache
drwxr-xr-x. 3 root root 18 9月 11 2020 .config
-rw-r--r--. 1 root root 100 12月 29 2013 .cshrc
drwxr-xr-x. 2 root root 40 9月 11 2020 .oracle_jre_usage
drwxr----- 3 root root 19 3月 20 10:05 .pki
drwx------. 2 root root 80 3月 20 19:49 .ssh
-rw-r--r--. 1 root root 129 12月 29 2013 .tcshrc
-rw-r--r-- 1 root root 0 3月 13 19:40 test.txt
-rw------- 1 root root 4620 3月 20 19:18 .viminfo
[root@node2 ~]# pwd
/root
[root@node2 ~]# cd .ssh
您在 /var/spool/mail/root 中有新邮件
[root@node2 .ssh]# ll
总用量 16
-rw-------. 1 root root 402 9月 11 2020 authorized_keys
-rw-------. 1 root root 1679 3月 20 19:48 id_rsa
-rw-r--r--. 1 root root 402 3月 20 19:48 id_rsa.pub
-rw-r--r--. 1 root root 1254 3月 20 09:25 known_hosts
[root@node2 .ssh]# su atguigu
[atguigu@node2 .ssh]$ cd ~
[atguigu@node2 ~]$ ll
总用量 0
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
[atguigu@node2 ~]$ ll
总用量 4
-rw-r--r-- 1 atguigu atguigu 3 3月 20 19:59 a.txt
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
您在 /var/spool/mail/root 中有新邮件
[atguigu@node2 ~]$
----------------------------------------------------------------------------------------
连接成功
Last login: Mon Mar 20 19:14:48 2023 from 192.168.88.1
[root@node3 ~]# su atguigu
[atguigu@node3 root]$ cd ~
[atguigu@node3 ~]$ pwd
/home/atguigu
[atguigu@node3 ~]$ ls -al
总用量 16
drwx------ 5 atguigu atguigu 123 3月 20 17:25 .
drwxr-xr-x. 3 root root 21 3月 20 10:08 ..
-rw------- 1 atguigu atguigu 163 3月 20 19:36 .bash_history
-rw-r--r-- 1 atguigu atguigu 18 8月 8 2019 .bash_logout
-rw-r--r-- 1 atguigu atguigu 193 8月 8 2019 .bash_profile
-rw-r--r-- 1 atguigu atguigu 231 8月 8 2019 .bashrc
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
drwxrwxr-x 3 atguigu atguigu 18 3月 20 10:18 .cache
drwxrwxr-x 3 atguigu atguigu 18 3月 20 10:18 .config
[atguigu@node3 ~]$ cd /home/atguigu/.ssh/
您在 /var/spool/mail/root 中有新邮件
[atguigu@node3 .ssh]$ ll
总用量 4
-rw------- 1 atguigu atguigu 405 3月 20 19:44 authorized_keys
[atguigu@node3 .ssh]$ cat authorized_keys
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDRrdLn5Bwi+N7B85ggdOWeXNtCBXtj3YkLpky3VcaSW9rnevAISF/3K99wzVVMEM1gfK+Xr6tMopTwQdN+kShhrluUHb31l8qQzg7E+RwT2fPu5M1PJgXzjABHUggS1PVstUk/KH8e+HzJ7pQyPU+FkgZ+U2NsbBiQmgMrfBfHBoPjF7JjTNUKAvtAOo0PQjDxdCsJJDxxBWBsHGmtRi73v6f/sY6zRYBILqC2tb0iSzEe1IGkjqJ4pXO/1+5ZxuFvwLnDsGp1VTqOsqqjsWdBoMoE10LjB46S7hMD5t4elzhbenx/xv5vdT4DSo6P65FVfu4OjG66cfjECOqfxOY9 atguigu@node1.itcast.cn
[atguigu@node3 .ssh]$ ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/home/atguigu/.ssh/id_rsa):
Enter passphrase (empty for no passphrase):
Enter same passphrase again:
Your identification has been saved in /home/atguigu/.ssh/id_rsa.
Your public key has been saved in /home/atguigu/.ssh/id_rsa.pub.
The key fingerprint is:
SHA256:UXniCTC0jqCGYUsYfBRoUBrlaei8V6dWx7lAvRypEko atguigu@node3.itcast.cn
The key's randomart image is:
+---[RSA 2048]----+
|*o=o..+. .. |
|.X o oo.+ . |
|*o*E ....* + |
|*+o..oo +.* |
|o= ..o.=S* |
|. . . = o . |
| . . o . |
| . . |
| |
+----[SHA256]-----+
您在 /var/spool/mail/root 中有新邮件
[atguigu@node3 .ssh]$ ssh-copy-id node1
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/home/atguigu/.ssh/id_rsa.pub"
The authenticity of host 'node1 (192.168.88.151)' can't be established.
ECDSA key fingerprint is SHA256:+eLT3FrOEuEsxBxjOd89raPi/ChJz26WGAfqBpz/KEk.
ECDSA key fingerprint is MD5:18:42:ad:0f:2b:97:d8:b5:68:14:6a:98:e9:72:db:bb.
Are you sure you want to continue connecting (yes/no)?
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
The authenticity of host 'node1 (192.168.88.151)' can't be established.
ECDSA key fingerprint is SHA256:+eLT3FrOEuEsxBxjOd89raPi/ChJz26WGAfqBpz/KEk.
ECDSA key fingerprint is MD5:18:42:ad:0f:2b:97:d8:b5:68:14:6a:98:e9:72:db:bb.
Are you sure you want to continue connecting (yes/no)? yes
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
atguigu@node1's password:
Number of key(s) added: 1
Now try logging into the machine, with: "ssh 'node1'"
and check to make sure that only the key(s) you wanted were added.
[atguigu@node3 .ssh]$ ssh-copy-id node2
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/home/atguigu/.ssh/id_rsa.pub"
The authenticity of host 'node2 (192.168.88.152)' can't be established.
ECDSA key fingerprint is SHA256:+eLT3FrOEuEsxBxjOd89raPi/ChJz26WGAfqBpz/KEk.
ECDSA key fingerprint is MD5:18:42:ad:0f:2b:97:d8:b5:68:14:6a:98:e9:72:db:bb.
Are you sure you want to continue connecting (yes/no)? yes
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
atguigu@node2's password:
Number of key(s) added: 1
Now try logging into the machine, with: "ssh 'node2'"
and check to make sure that only the key(s) you wanted were added.
[atguigu@node3 .ssh]$ ll
总用量 16
-rw------- 1 atguigu atguigu 405 3月 20 19:44 authorized_keys
-rw------- 1 atguigu atguigu 1675 3月 20 19:50 id_rsa
-rw-r--r-- 1 atguigu atguigu 405 3月 20 19:50 id_rsa.pub
-rw-r--r-- 1 atguigu atguigu 364 3月 20 19:51 known_hosts
您在 /var/spool/mail/root 中有新邮件
[atguigu@node3 .ssh]$ cd ~
您在 /var/spool/mail/root 中有新邮件
[atguigu@node3 ~]$ ll
总用量 0
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
[atguigu@node3 ~]$ ll
总用量 4
-rw-r--r-- 1 atguigu atguigu 3 3月 20 19:59 a.txt
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
您在 /var/spool/mail/root 中有新邮件
[atguigu@node3 ~]$ cd /home/atguigu
您在 /var/spool/mail/root 中有新邮件
[atguigu@node3 ~]$ ll
总用量 4
-rw-r--r-- 1 atguigu atguigu 3 3月 20 19:59 a.txt
drwxrwxr-x 2 atguigu atguigu 19 3月 20 15:56 bin
[atguigu@node3 ~]$ P030【030_尚硅谷_Hadoop_入门_集群配置】13:24
注意：
- NameNode和SecondaryNameNode不要安装在同一台服务器。
- ResourceManager也很消耗内存，不要和NameNode、SecondaryNameNode配置在同一台机器上。
hadoop102
hadoop103
hadoop104
HDFS
NameNode
DataNode
DataNode
SecondaryNameNode
DataNode
YARN
NodeManager
ResourceManager
NodeManager
NodeManager
要获取的默认文件
文件存放在Hadoop的jar包中的位置
[core-default.xml]
hadoop-common-3.1.3.jar/core-default.xml
[hdfs-default.xml]
hadoop-hdfs-3.1.3.jar/hdfs-default.xml
[yarn-default.xml]
hadoop-yarn-common-3.1.3.jar/yarn-default.xml
[mapred-default.xml]
hadoop-mapreduce-client-core-3.1.3.jar/mapred-default.xml
P031【031_尚硅谷_Hadoop_入门_群起集群并测试】16:52
hadoop集群启动后datanode没有启动_hadoop datanode没有启动！
[atguigu@hadoop102 hadoop-3.1.3]$ sbin/start-dfs.sh
[atguigu@hadoop103 hadoop-3.1.3]$ sbin/start-yarn.sh
yarn：资源调度。
连接成功
Last login: Wed Mar 22 09:16:44 2023
[atguigu@node1 ~]$ cd /opt/module/hadoop-3.1.3
[atguigu@node1 hadoop-3.1.3]$ sbin/start-dfs.sh
Starting namenodes on [node1]
Starting datanodes
Starting secondary namenodes [node3]
[atguigu@node1 hadoop-3.1.3]$ jps
5619 DataNode
5398 NameNode
6647 Jps
6457 NodeManager
[atguigu@node1 hadoop-3.1.3]$ hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.1.3.jar wordcount /wcinput /wcoutput
2023-03-22 09:22:26,672 INFO impl.MetricsConfig: loaded properties from hadoop-metrics2.properties
2023-03-22 09:22:26,954 INFO impl.MetricsSystemImpl: Scheduled Metric snapshot period at 10 second(s).
2023-03-22 09:22:26,954 INFO impl.MetricsSystemImpl: JobTracker metrics system started
2023-03-22 09:22:28,713 INFO input.FileInputFormat: Total input files to process : 1
2023-03-22 09:22:28,764 INFO mapreduce.JobSubmitter: number of splits:1
2023-03-22 09:22:29,208 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_local321834777_0001
2023-03-22 09:22:29,218 INFO mapreduce.JobSubmitter: Executing with tokens: []
2023-03-22 09:22:29,515 INFO mapreduce.Job: The url to track the job: http://localhost:8080/
2023-03-22 09:22:29,520 INFO mapreduce.Job: Running job: job_local321834777_0001
2023-03-22 09:22:29,525 INFO mapred.LocalJobRunner: OutputCommitter set in config null
2023-03-22 09:22:29,551 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 2
2023-03-22 09:22:29,551 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
2023-03-22 09:22:29,553 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
2023-03-22 09:22:29,785 INFO mapred.LocalJobRunner: Waiting for map tasks
2023-03-22 09:22:29,791 INFO mapred.LocalJobRunner: Starting task: attempt_local321834777_0001_m_000000_0
2023-03-22 09:22:29,908 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 2
2023-03-22 09:22:29,910 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
2023-03-22 09:22:30,037 INFO mapred.Task: Using ResourceCalculatorProcessTree : [ ]
2023-03-22 09:22:30,056 INFO mapred.MapTask: Processing split: hdfs://node1:8020/wcinput/word.txt:0+45
2023-03-22 09:22:30,532 INFO mapreduce.Job: Job job_local321834777_0001 running in uber mode : false
2023-03-22 09:22:30,547 INFO mapreduce.Job: map 0% reduce 0%
2023-03-22 09:22:31,234 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584)
2023-03-22 09:22:31,235 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100
2023-03-22 09:22:31,235 INFO mapred.MapTask: soft limit at 83886080
2023-03-22 09:22:31,235 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600
2023-03-22 09:22:31,235 INFO mapred.MapTask: kvstart = 26214396; length = 6553600
2023-03-22 09:22:31,277 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
2023-03-22 09:22:31,542 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted = false, remoteHostTrusted = false
2023-03-22 09:22:36,432 INFO mapred.LocalJobRunner:
2023-03-22 09:22:36,463 INFO mapred.MapTask: Starting flush of map output
2023-03-22 09:22:36,463 INFO mapred.MapTask: Spilling map output
2023-03-22 09:22:36,463 INFO mapred.MapTask: bufstart = 0; bufend = 69; bufvoid = 104857600
2023-03-22 09:22:36,463 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214376(104857504); length = 21/6553600
2023-03-22 09:22:36,615 INFO mapred.MapTask: Finished spill 0
2023-03-22 09:22:36,655 INFO mapred.Task: Task:attempt_local321834777_0001_m_000000_0 is done. And is in the process of committing
2023-03-22 09:22:36,701 INFO mapred.LocalJobRunner: map
2023-03-22 09:22:36,701 INFO mapred.Task: Task 'attempt_local321834777_0001_m_000000_0' done.
2023-03-22 09:22:36,738 INFO mapred.Task: Final Counters for attempt_local321834777_0001_m_000000_0: Counters: 23
File System Counters
FILE: Number of bytes read=316543
FILE: Number of bytes written=822653
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=45
HDFS: Number of bytes written=0
HDFS: Number of read operations=5
HDFS: Number of large read operations=0
HDFS: Number of write operations=1
Map-Reduce Framework
Map input records=4
Map output records=6
Map output bytes=69
Map output materialized bytes=60
Input split bytes=99
Combine input records=6
Combine output records=4
Spilled Records=4
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=0
Total committed heap usage (bytes)=271056896
File Input Format Counters
Bytes Read=45
2023-03-22 09:22:36,739 INFO mapred.LocalJobRunner: Finishing task: attempt_local321834777_0001_m_000000_0
2023-03-22 09:22:36,810 INFO mapred.LocalJobRunner: map task executor complete.
2023-03-22 09:22:36,849 INFO mapred.LocalJobRunner: Waiting for reduce tasks
2023-03-22 09:22:36,876 INFO mapred.LocalJobRunner: Starting task: attempt_local321834777_0001_r_000000_0
2023-03-22 09:22:37,033 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 2
2023-03-22 09:22:37,033 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
2023-03-22 09:22:37,035 INFO mapred.Task: Using ResourceCalculatorProcessTree : [ ]
2023-03-22 09:22:37,043 INFO mapred.ReduceTask: Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@4db08ce7
2023-03-22 09:22:37,046 WARN impl.MetricsSystemImpl: JobTracker metrics system already initialized!
2023-03-22 09:22:37,178 INFO reduce.MergeManagerImpl: MergerManager: memoryLimit=642252800, maxSingleShuffleLimit=160563200, mergeThreshold=423886880, ioSortFactor=10, memToMemMergeOutputsThreshold=10
2023-03-22 09:22:37,216 INFO reduce.EventFetcher: attempt_local321834777_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events
2023-03-22 09:22:37,376 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local321834777_0001_m_000000_0 decomp: 56 len: 60 to MEMORY
2023-03-22 09:22:37,409 INFO reduce.InMemoryMapOutput: Read 56 bytes from map-output for attempt_local321834777_0001_m_000000_0
2023-03-22 09:22:37,421 INFO reduce.MergeManagerImpl: closeInMemoryFile -> map-output of size: 56, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->56
2023-03-22 09:22:37,457 INFO reduce.EventFetcher: EventFetcher is interrupted.. Returning
2023-03-22 09:22:37,460 INFO mapred.LocalJobRunner: 1 / 1 copied.
2023-03-22 09:22:37,460 INFO reduce.MergeManagerImpl: finalMerge called with 1 in-memory map-outputs and 0 on-disk map-outputs
2023-03-22 09:22:37,504 INFO mapreduce.Job: map 100% reduce 0%
2023-03-22 09:22:37,534 INFO mapred.Merger: Merging 1 sorted segments
2023-03-22 09:22:37,534 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 46 bytes
2023-03-22 09:22:37,536 INFO reduce.MergeManagerImpl: Merged 1 segments, 56 bytes to disk to satisfy reduce memory limit
2023-03-22 09:22:37,537 INFO reduce.MergeManagerImpl: Merging 1 files, 60 bytes from disk
2023-03-22 09:22:37,541 INFO reduce.MergeManagerImpl: Merging 0 segments, 0 bytes from memory into reduce
2023-03-22 09:22:37,542 INFO mapred.Merger: Merging 1 sorted segments
2023-03-22 09:22:37,547 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 46 bytes
2023-03-22 09:22:37,708 INFO mapred.LocalJobRunner: 1 / 1 copied.
2023-03-22 09:22:37,831 INFO Configuration.deprecation: mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords
2023-03-22 09:22:38,001 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted = false, remoteHostTrusted = false
2023-03-22 09:22:39,978 INFO mapred.Task: Task:attempt_local321834777_0001_r_000000_0 is done. And is in the process of committing
2023-03-22 09:22:39,989 INFO mapred.LocalJobRunner: 1 / 1 copied.
2023-03-22 09:22:39,990 INFO mapred.Task: Task attempt_local321834777_0001_r_000000_0 is allowed to commit now
2023-03-22 09:22:40,106 INFO output.FileOutputCommitter: Saved output of task 'attempt_local321834777_0001_r_000000_0' to hdfs://node1:8020/wcoutput
2023-03-22 09:22:40,111 INFO mapred.LocalJobRunner: reduce > reduce
2023-03-22 09:22:40,111 INFO mapred.Task: Task 'attempt_local321834777_0001_r_000000_0' done.
2023-03-22 09:22:40,112 INFO mapred.Task: Final Counters for attempt_local321834777_0001_r_000000_0: Counters: 29
File System Counters
FILE: Number of bytes read=316695
FILE: Number of bytes written=822713
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=45
HDFS: Number of bytes written=38
HDFS: Number of read operations=10
HDFS: Number of large read operations=0
HDFS: Number of write operations=3
Map-Reduce Framework
Combine input records=0
Combine output records=0
Reduce input groups=4
Reduce shuffle bytes=60
Reduce input records=4
Reduce output records=4
Spilled Records=4
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=159
Total committed heap usage (bytes)=272105472
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Output Format Counters
Bytes Written=38
2023-03-22 09:22:40,112 INFO mapred.LocalJobRunner: Finishing task: attempt_local321834777_0001_r_000000_0
2023-03-22 09:22:40,115 INFO mapred.LocalJobRunner: reduce task executor complete.
2023-03-22 09:22:40,507 INFO mapreduce.Job: map 100% reduce 100%
2023-03-22 09:22:40,507 INFO mapreduce.Job: Job job_local321834777_0001 completed successfully
2023-03-22 09:22:40,529 INFO mapreduce.Job: Counters: 35
File System Counters
FILE: Number of bytes read=633238
FILE: Number of bytes written=1645366
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=90
HDFS: Number of bytes written=38
HDFS: Number of read operations=15
HDFS: Number of large read operations=0
HDFS: Number of write operations=4
Map-Reduce Framework
Map input records=4
Map output records=6
Map output bytes=69
Map output materialized bytes=60
Input split bytes=99
Combine input records=6
Combine output records=4
Reduce input groups=4
Reduce shuffle bytes=60
Reduce input records=4
Reduce output records=4
Spilled Records=8
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=159
Total committed heap usage (bytes)=543162368
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=45
File Output Format Counters
Bytes Written=38
[atguigu@node1 hadoop-3.1.3]$ P032【032_尚硅谷_Hadoop_入门_集群崩溃处理办法】08:10
先停掉dfs和yarn，sbin/stop-dfs.sh、sbin/stop-yarn.sh，再删除/data，重新格式化hdfs namenode -format。
[atguigu@node1 hadoop-3.1.3]$ jps
5619 DataNode
5398 NameNode
18967 Jps
6457 NodeManager
[atguigu@node1 hadoop-3.1.3]$ kill -9 5619
[atguigu@node1 hadoop-3.1.3]$ jps
20036 Jps
5398 NameNode
6457 NodeManager
[atguigu@node1 hadoop-3.1.3]$ sbin/stop-dfs.sh
Stopping namenodes on [node1]
Stopping datanodes
Stopping secondary namenodes [node3]
[atguigu@node1 hadoop-3.1.3]$ jps
32126 Jps
[atguigu@node1 hadoop-3.1.3]$ P033【033_尚硅谷_Hadoop_入门_历史服务器配置】05:26
node1：mapred --daemon start historyserver
[atguigu@node1 hadoop-3.1.3]$ mapred --daemon start historyserver
[atguigu@node1 hadoop-3.1.3]$ jps
27061 DataNode
37557 NodeManager
42666 JobHistoryServer
26879 NameNode
42815 Jps
[atguigu@node1 hadoop-3.1.3]$ hadoop fs -put wcinput/word.txt /input
2023-03-22 09:58:16,749 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted = false, remoteHostTrusted = false
[atguigu@node1 hadoop-3.1.3]$ hadoop jar share/hadoop/
client/ common/ hdfs/ mapreduce/ tools/ yarn/
[atguigu@node1 hadoop-3.1.3]$ hadoop jar share/hadoop/
client/ common/ hdfs/ mapreduce/ tools/ yarn/
[atguigu@node1 hadoop-3.1.3]$ hadoop jar share/hadoop/mapreduce/
hadoop-mapreduce-client-app-3.1.3.jar hadoop-mapreduce-client-jobclient-3.1.3.jar hadoop-mapreduce-examples-3.1.3.jar
hadoop-mapreduce-client-common-3.1.3.jar hadoop-mapreduce-client-jobclient-3.1.3-tests.jar jdiff/
hadoop-mapreduce-client-core-3.1.3.jar hadoop-mapreduce-client-nativetask-3.1.3.jar lib/
hadoop-mapreduce-client-hs-3.1.3.jar hadoop-mapreduce-client-shuffle-3.1.3.jar lib-examples/
hadoop-mapreduce-client-hs-plugins-3.1.3.jar hadoop-mapreduce-client-uploader-3.1.3.jar sources/
[atguigu@node1 hadoop-3.1.3]$ hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.1.3.jar wordcount /input /output
2023-03-22 09:59:43,045 INFO impl.MetricsConfig: loaded properties from hadoop-metrics2.properties
2023-03-22 09:59:43,486 INFO impl.MetricsSystemImpl: Scheduled Metric snapshot period at 10 second(s).
2023-03-22 09:59:43,486 INFO impl.MetricsSystemImpl: JobTracker metrics system started
2023-03-22 09:59:45,880 INFO input.FileInputFormat: Total input files to process : 1
2023-03-22 09:59:45,985 INFO mapreduce.JobSubmitter: number of splits:1
2023-03-22 09:59:46,637 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_local146698941_0001
2023-03-22 09:59:46,642 INFO mapreduce.JobSubmitter: Executing with tokens: []
2023-03-22 09:59:46,972 INFO mapreduce.Job: The url to track the job: http://localhost:8080/
2023-03-22 09:59:46,974 INFO mapreduce.Job: Running job: job_local146698941_0001
2023-03-22 09:59:47,033 INFO mapred.LocalJobRunner: OutputCommitter set in config null
2023-03-22 09:59:47,054 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 2
2023-03-22 09:59:47,055 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
2023-03-22 09:59:47,058 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
2023-03-22 09:59:47,181 INFO mapred.LocalJobRunner: Waiting for map tasks
2023-03-22 09:59:47,182 INFO mapred.LocalJobRunner: Starting task: attempt_local146698941_0001_m_000000_0
2023-03-22 09:59:47,251 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 2
2023-03-22 09:59:47,255 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
2023-03-22 09:59:47,376 INFO mapred.Task: Using ResourceCalculatorProcessTree : [ ]
2023-03-22 09:59:47,390 INFO mapred.MapTask: Processing split: hdfs://node1:8020/input/word.txt:0+45
2023-03-22 09:59:48,125 INFO mapreduce.Job: Job job_local146698941_0001 running in uber mode : false
2023-03-22 09:59:48,150 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584)
2023-03-22 09:59:48,150 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100
2023-03-22 09:59:48,150 INFO mapred.MapTask: soft limit at 83886080
2023-03-22 09:59:48,150 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600
2023-03-22 09:59:48,150 INFO mapred.MapTask: kvstart = 26214396; length = 6553600
2023-03-22 09:59:48,186 INFO mapreduce.Job: map 0% reduce 0%
2023-03-22 09:59:48,202 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
2023-03-22 09:59:49,223 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted = false, remoteHostTrusted = false
2023-03-22 09:59:50,371 INFO mapred.LocalJobRunner:
2023-03-22 09:59:50,416 INFO mapred.MapTask: Starting flush of map output
2023-03-22 09:59:50,416 INFO mapred.MapTask: Spilling map output
2023-03-22 09:59:50,416 INFO mapred.MapTask: bufstart = 0; bufend = 69; bufvoid = 104857600
2023-03-22 09:59:50,416 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214376(104857504); length = 21/6553600
2023-03-22 09:59:50,543 INFO mapred.MapTask: Finished spill 0
2023-03-22 09:59:50,733 INFO mapred.Task: Task:attempt_local146698941_0001_m_000000_0 is done. And is in the process of committing
2023-03-22 09:59:50,764 INFO mapred.LocalJobRunner: map
2023-03-22 09:59:50,764 INFO mapred.Task: Task 'attempt_local146698941_0001_m_000000_0' done.
2023-03-22 09:59:50,847 INFO mapred.Task: Final Counters for attempt_local146698941_0001_m_000000_0: Counters: 23
File System Counters
FILE: Number of bytes read=316541
FILE: Number of bytes written=822643
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=45
HDFS: Number of bytes written=0
HDFS: Number of read operations=5
HDFS: Number of large read operations=0
HDFS: Number of write operations=1
Map-Reduce Framework
Map input records=4
Map output records=6
Map output bytes=69
Map output materialized bytes=60
Input split bytes=97
Combine input records=6
Combine output records=4
Spilled Records=4
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=0
Total committed heap usage (bytes)=267386880
File Input Format Counters
Bytes Read=45
2023-03-22 09:59:50,848 INFO mapred.LocalJobRunner: Finishing task: attempt_local146698941_0001_m_000000_0
2023-03-22 09:59:50,946 INFO mapred.LocalJobRunner: map task executor complete.
2023-03-22 09:59:51,007 INFO mapred.LocalJobRunner: Waiting for reduce tasks
2023-03-22 09:59:51,025 INFO mapred.LocalJobRunner: Starting task: attempt_local146698941_0001_r_000000_0
2023-03-22 09:59:51,156 INFO output.FileOutputCommitter: File Output Committer Algorithm version is 2
2023-03-22 09:59:51,157 INFO output.FileOutputCommitter: FileOutputCommitter skip cleanup _temporary folders under output directory:false, ignore cleanup failures: false
2023-03-22 09:59:51,158 INFO mapred.Task: Using ResourceCalculatorProcessTree : [ ]
2023-03-22 09:59:51,213 INFO mapreduce.Job: map 100% reduce 0%
2023-03-22 09:59:51,226 INFO mapred.ReduceTask: Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@1f0445e7
2023-03-22 09:59:51,238 WARN impl.MetricsSystemImpl: JobTracker metrics system already initialized!
2023-03-22 09:59:51,338 INFO reduce.MergeManagerImpl: MergerManager: memoryLimit=642252800, maxSingleShuffleLimit=160563200, mergeThreshold=423886880, ioSortFactor=10, memToMemMergeOutputsThreshold=10
2023-03-22 09:59:51,355 INFO reduce.EventFetcher: attempt_local146698941_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events
2023-03-22 09:59:51,632 INFO reduce.LocalFetcher: localfetcher#1 about to shuffle output of map attempt_local146698941_0001_m_000000_0 decomp: 56 len: 60 to MEMORY
2023-03-22 09:59:51,665 INFO reduce.InMemoryMapOutput: Read 56 bytes from map-output for attempt_local146698941_0001_m_000000_0
2023-03-22 09:59:51,675 INFO reduce.MergeManagerImpl: closeInMemoryFile -> map-output of size: 56, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->56
2023-03-22 09:59:51,683 INFO reduce.EventFetcher: EventFetcher is interrupted.. Returning
2023-03-22 09:59:51,689 INFO mapred.LocalJobRunner: 1 / 1 copied.
2023-03-22 09:59:51,693 INFO reduce.MergeManagerImpl: finalMerge called with 1 in-memory map-outputs and 0 on-disk map-outputs
2023-03-22 09:59:51,715 INFO mapred.Merger: Merging 1 sorted segments
2023-03-22 09:59:51,716 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 46 bytes
2023-03-22 09:59:51,719 INFO reduce.MergeManagerImpl: Merged 1 segments, 56 bytes to disk to satisfy reduce memory limit
2023-03-22 09:59:51,720 INFO reduce.MergeManagerImpl: Merging 1 files, 60 bytes from disk
2023-03-22 09:59:51,725 INFO reduce.MergeManagerImpl: Merging 0 segments, 0 bytes from memory into reduce
2023-03-22 09:59:51,725 INFO mapred.Merger: Merging 1 sorted segments
2023-03-22 09:59:51,728 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 46 bytes
2023-03-22 09:59:51,729 INFO mapred.LocalJobRunner: 1 / 1 copied.
2023-03-22 09:59:51,867 INFO Configuration.deprecation: mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords
2023-03-22 09:59:52,038 INFO sasl.SaslDataTransferClient: SASL encryption trust check: localHostTrusted = false, remoteHostTrusted = false
2023-03-22 09:59:52,284 INFO mapred.Task: Task:attempt_local146698941_0001_r_000000_0 is done. And is in the process of committing
2023-03-22 09:59:52,302 INFO mapred.LocalJobRunner: 1 / 1 copied.
2023-03-22 09:59:52,302 INFO mapred.Task: Task attempt_local146698941_0001_r_000000_0 is allowed to commit now
2023-03-22 09:59:52,339 INFO output.FileOutputCommitter: Saved output of task 'attempt_local146698941_0001_r_000000_0' to hdfs://node1:8020/output
2023-03-22 09:59:52,343 INFO mapred.LocalJobRunner: reduce > reduce
2023-03-22 09:59:52,343 INFO mapred.Task: Task 'attempt_local146698941_0001_r_000000_0' done.
2023-03-22 09:59:52,344 INFO mapred.Task: Final Counters for attempt_local146698941_0001_r_000000_0: Counters: 29
File System Counters
FILE: Number of bytes read=316693
FILE: Number of bytes written=822703
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=45
HDFS: Number of bytes written=38
HDFS: Number of read operations=10
HDFS: Number of large read operations=0
HDFS: Number of write operations=3
Map-Reduce Framework
Combine input records=0
Combine output records=0
Reduce input groups=4
Reduce shuffle bytes=60
Reduce input records=4
Reduce output records=4
Spilled Records=4
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=101
Total committed heap usage (bytes)=267386880
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Output Format Counters
Bytes Written=38
2023-03-22 09:59:52,344 INFO mapred.LocalJobRunner: Finishing task: attempt_local146698941_0001_r_000000_0
2023-03-22 09:59:52,344 INFO mapred.LocalJobRunner: reduce task executor complete.
2023-03-22 09:59:53,216 INFO mapreduce.Job: map 100% reduce 100%
2023-03-22 09:59:53,219 INFO mapreduce.Job: Job job_local146698941_0001 completed successfully
2023-03-22 09:59:53,267 INFO mapreduce.Job: Counters: 35
File System Counters
FILE: Number of bytes read=633234
FILE: Number of bytes written=1645346
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=90
HDFS: Number of bytes written=38
HDFS: Number of read operations=15
HDFS: Number of large read operations=0
HDFS: Number of write operations=4
Map-Reduce Framework
Map input records=4
Map output records=6
Map output bytes=69
Map output materialized bytes=60
Input split bytes=97
Combine input records=6
Combine output records=4
Reduce input groups=4
Reduce shuffle bytes=60
Reduce input records=4
Reduce output records=4
Spilled Records=8
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=101
Total committed heap usage (bytes)=534773760
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=45
File Output Format Counters
Bytes Written=38
[atguigu@node1 hadoop-3.1.3]$ P034【034_尚硅谷_Hadoop_入门_日志聚集功能配置】05:42
145 jps
146 mapred --daemon start historyserver
147 jps
148 xsync $HADOOP_HOME/etc/hadoop/yarn-site.xml
149 jps
150 mapred --daemon stop historyserver
151 mapred --daemon start historyserver
152 jps
153 hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.1.3.jar wordcount /input /output2
154 history
58 jps
61 sbin/start-yarn.sh
62 sbin/stop-yarn.sh
63 sbin/start-yarn.sh
64 history P035【035_尚硅谷_Hadoop_入门_两个常用脚本】09:18
155 cd /home/atguigu/bin
156 ll
157 vim myhadoop.sh
158 chmod +x myhadoop.sh
159 chmod 777 myhadoop.sh
160 ll
161 jps
162 myhadoop.sh stop
163 ./myhadoop.sh stop
164 jps
165 ./myhadoop.sh start
166 jps
167 vim jpsall
168 chmod +x jpsall
169 ll
170 chmod 777 jpsall
171 ll
172 ./jpsall
173 cd ~
174 ll
175 xsync /home/atguigu/bin/
176 history P036【036_尚硅谷_Hadoop_入门_两道面试题】04:15
常用端口号说明 端口名称
Hadoop2.x
Hadoop3.x
NameNode内部通信端口
8020 / 9000
8020 / 9000/9820
NameNode HTTP UI
50070
9870
MapReduce查看执行任务端口
8088
8088
历史服务器通信端口
19888
19888
P037【037_尚硅谷_Hadoop_入门_集群时间同步】11:27
很多公司都是无网开发的，连接不了外网。
这个视频的操作，不用跟着敲！！！切记！！！
P038【038_尚硅谷_Hadoop_入门_常见问题总结】10:57
root用户和atguigu两个用户启动集群不统一，只用atguigu启动集群。
文件都是二进制，随便拆。
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