本博文集群搭建没有实现Hadoop HA，详细文档在后续给出，本次只是先给出大概逻辑思路。
（一）hadoop2.x版本下载及安装
Hadoop 版本选择目前主要基于三个厂商（国外）如下所示：
- 基于Apache厂商的最原始的hadoop版本， 所有发行版均基于这个版本进行改进。
- 基于HortonWorks厂商的开源免费的hdp版本。
- 基于Cloudera厂商的cdh版本，Cloudera有免费版和企业版， 企业版只有试用期。不过cdh大部分功能都是免费的。
（二）hadoop2.x分布式集群配置
1.集群资源规划设计
2.hadoop2.x分布式集群配置
1）Hadoop安装配置
先上传资源，并解压。
[[email protected] softwares]$ tar -zxf hadoop-2.6.0.tar.gz -C /opt/momdules/ [[email protected]-pro01 softwares]$ cd ../momdules/ [[email protected]-pro01 momdules]$ ll total 8 drwxr-xr-x 9 kfk kfk 4096 Nov 14 2014 hadoop-2.6.0 drwxr-xr-x 8 kfk kfk 4096 Aug 5 2015 jdk1.8.0_60 [[email protected]-pro01 momdules]$ cd hadoop-2.6.0/ [[email protected]-pro01 hadoop-2.6.0]$ ls bin etc include lib libexec LICENSE.txt NOTICE.txt README.txt sbin share
接下来对hadoop进行一个瘦身（删除不必要的文件，减小其大小）
[[email protected] hadoop-2.6.0]$ cd share/ [[email protected]-pro01 share]$ ls doc hadoop [[email protected]-pro01 share]$ rm -rf ./doc/ [[email protected]-pro01 share]$ ls hadoop [[email protected]-pro01 share]$ cd .. [[email protected]-pro01 hadoop-2.6.0]$ ls bin etc include lib libexec LICENSE.txt NOTICE.txt README.txt sbin share [[email protected]-pro01 hadoop-2.6.0]$ cd etc/hadoop/ [[email protected]-pro01 hadoop]$ ls capacity-scheduler.xml hadoop-env.sh httpfs-env.sh kms-env.sh mapred-env.sh ssl-server.xml.example configuration.xsl hadoop-metrics2.properties httpfs-log4j.properties kms-log4j.properties mapred-queues.xml.template yarn-env.cmd container-executor.cfg hadoop-metrics.properties httpfs-signature.secret kms-site.xml mapred-site.xml.template yarn-env.sh core-site.xml hadoop-policy.xml httpfs-site.xml log4j.properties slaves yarn-site.xml hadoop-env.cmd hdfs-site.xml kms-acls.xml mapred-env.cmd ssl-client.xml.example [[email protected]-pro01 hadoop]$ rm -rf ./*.cmd //.cmd为Windows下的命令，所以不需要，可以删掉。
2）hadoop2.x分布式集群配置-HDFS
安装hdfs需要修改4个配置文件：hadoop-env.sh、core-site.xml、hdfs-site.xml和slaves
注意：为了方便和正确性的保证，以后Linux中的配置都使用外部工具Notepad++进行（连接之前请保证Windows下的Hosts文件已经添加了网络映射），连接方式如下：
注：如果出现的目录和我的不同，请双击根目录（/）。
在配置的时候再教大家一个小技巧：能够复制粘贴的尽量复制粘贴，这样能尽量避免拼写错误。比如配置hadoop-env.sh文件时可以如下操作:
然后Ctrl+Ins组合键可以实现Linux下的复制操作，粘贴操作用Shift+Ins组合键。
该文件只需配置JAVA_HOME目录即可。
<property>
<name>dfs.replication</name>
<value>2</value>
</property>
配置Namenode
<property>
<name>fs.default.name</name>
<value>hdfs://bigdata-pro01.kfk.com:9000</value>
<description>The name of the default file system, using 9000 port.</description>
</property>
配置Datanode
格式化Namenode
[kf[email protected]pro01 hadoop]$ cd .. [[email protected]-pro01 etc]$ cd .. [[email protected]-pro01 hadoop-2.6.0]$ bin/hdfs namenode –format
启动Namenode和Datanode
[[email protected] hadoop-2.6.0]$ sbin/hadoop-daemon.sh start namenode starting namenode, logging to /opt/momdules/hadoop-2.6.0/logs/hadoop-kfk-namenode-bigdata-pro01.kfk.com.out [[email protected]-pro01 hadoop-2.6.0]$ sbin/hadoop-daemon.sh start datanode starting datanode, logging to /opt/momdules/hadoop-2.6.0/logs/hadoop-kfk-datanode-bigdata-pro01.kfk.com.out [[email protected]-pro01 hadoop-2.6.0]$ jps 21778 NameNode 21927 Jps 21855 DataNode
进入网址：http://bigdata-pro01.kfk.com:50070/dfshealth.html#tab-overview
以上结果表明配置是成功的，然后发送到其他节点。
[[email protected] momdules]$ scp -r hadoop-2.6.0/ bigdata-pro02.kfk.com:/opt/momdules/ The authenticity of host ‘bigdata-pro02.kfk.com (192.168.86.152)‘ can‘t be established. RSA key fingerprint is b5:48:fe:c4:80:24:0c:aa:5c:f5:6f:82:49:c5:f8:8e. Are you sure you want to continue connecting (yes/no)? yes Warning: Permanently added ‘bigdata-pro02.kfk.com,192.168.86.152‘ (RSA) to the list of known hosts. [email protected]-pro02.kfk.com‘s password: [[email protected]-pro01 momdules]$ scp -r hadoop-2.6.0/ bigdata-pro03.kfk.com:/opt/momdules/
然后启动两个子节点的DataNode并刷新网页看看有什么变化。
[[email protected] hadoop-2.6.0]$ sbin/hadoop-daemon.sh start datanode starting datanode, logging to /opt/momdules/hadoop-2.6.0/logs/hadoop-kfk-datanode-bigdata-pro02.kfk.com.out [[email protected]-pro02 hadoop-2.6.0]$ jps 21655 DataNode 21723 Jps [[email protected]-pro03 ~]$ cd /opt/momdules/hadoop-2.6.0/ [[email protected]-pro03 hadoop-2.6.0]$ sbin/hadoop-daemon.sh start datanode starting datanode, logging to /opt/momdules/hadoop-2.6.0/logs/hadoop-kfk-datanode-bigdata-pro03.kfk.com.out [[email protected]-pro03 hadoop-2.6.0]$ jps 21654 DataNode 21722 Jps
接下来，我们在dfs上创建一个目录并上传一个文件：
[[email protected] hadoop-2.6.0]$ bin/hdfs dfs -mkdir -p /user/kfk/data/ 18/10/16 09:21:24 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable [[email protected]-pro01 hadoop-2.6.0]$ bin/hdfs dfs -put /opt/momdules/hadoop-2.6.0/etc/hadoop/core-site.xml /user/kfk/data
创建和上传都成功！
[[email protected] hadoop-2.6.0]$ bin/hdfs dfs -text /user/kfk/data/core-site.xml
18/10/16 13:43:23 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. See accompanying LICENSE file.
-->
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://bigdata-pro01.kfk.com:9000</value>
<description>The name of the default file system, using 9000 port.</description>
</property>
</configuration>
文件内容也是完全一致的！
3）hadoop2.x分布式集群配置-YARN
安装yarn需要修改4个配置文件：yarn-env.sh、mapred-env.sh、yarn-site.xml和mapred-site.xml
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>bigdata-pro01.kfk.com:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>bigdata-pro01.kfk.com:19888</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>bigdata-pro01.kfk.com</value>
</property>
<property>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
</property>
<property>
<name>yarn.log-aggregation.retain-seconds</name>
<value>10000</value>
</property>
（三）分发到其他各个机器节点
hadoop相关配置在第一个节点配置好之后，可以通过脚本命令分发给另外两个节点即可，具体操作如下所示。
#将安装包分发给第二个节点
[[email protected] hadoop]$ scp -r ./* [email protected]:/opt/momdules/hadoop-2.6.0/etc/hadoop/
#将安装包分发给第三个节点
[[email protected] hadoop]$ scp -r ./* [email protected]:/opt/momdules/hadoop-2.6.0/etc/hadoop/
（四）HDFS启动集群运行测试
[[email protected]pro01 hadoop]$ cd .. [[email protected]-pro01 etc]$ cd .. [[email protected]-pro01 hadoop-2.6.0]$ cd .. [[email protected]-pro01 momdules]$ cd .. [[email protected]-pro01 opt]$ cd datas/ [[email protected]-pro01 datas]$ touch wc.input [[email protected]-pro01 datas]$ vi wc.input hadoop hive hive spark hbase java [[email protected]-pro01 datas]$ cd ../momdules/hadoop-2.6.0/ [[email protected]-pro01 hadoop-2.6.0]$ bin/hdfs dfs -put /opt/datas/wc.input /user/kfk/data 18/10/16 14:11:57 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
hdfs相关配置好之后，可以启动resourcemanager和nodemanager。
[[email protected] hadoop-2.6.0]$ sbin/yarn-daemon.sh resourcemanager Usage: yarn-daemon.sh [--config <conf-dir>] [--hosts hostlistfile] (start|stop) <yarn-command> [[email protected]-pro01 hadoop-2.6.0]$ sbin/yarn-daemon.sh start resourcemanager starting resourcemanager, logging to /opt/momdules/hadoop-2.6.0/logs/yarn-kfk-resourcemanager-bigdata-pro01.kfk.com.out [[email protected]-pro01 hadoop-2.6.0]$ sbin/yarn-daemon.sh start nodemanager starting nodemanager, logging to /opt/momdules/hadoop-2.6.0/logs/yarn-kfk-nodemanager-bigdata-pro01.kfk.com.out [[email protected]-pro01 hadoop-2.6.0]$ sbin/mr-jobhistory-daemon.sh start historyserver starting historyserver, logging to /opt/momdules/hadoop-2.6.0/logs/mapred-kfk-historyserver-bigdata-pro01.kfk.com.out [[email protected]-pro01 hadoop-2.6.0]$ jps 21778 NameNode 23668 NodeManager 23701 Jps 23431 ResourceManager 21855 DataNode 23835 JobHistoryServer [[email protected]-pro02 hadoop-2.6.0]$ sbin/yarn-daemon.sh start nodemanager starting nodemanager, logging to /opt/momdules/hadoop-2.6.0/logs/yarn-kfk-nodemanager-bigdata-pro02.kfk.com.out [[email protected]-pro02 hadoop-2.6.0]$ jps 22592 NodeManager 21655 DataNode 22622 Jps [[email protected]-pro03 hadoop-2.6.0]$ sbin/yarn-daemon.sh start nodemanager starting nodemanager, logging to /opt/momdules/hadoop-2.6.0/logs/yarn-kfk-nodemanager-bigdata-pro03.kfk.com.out [[email protected]-pro03 hadoop-2.6.0]$ jps 22566 Jps 21654 DataNode 22536 NodeManager
进入网址：http://bigdata-pro01.kfk.com:8088/cluster/nodes
接下来配置一下DataNode的日志目录。
<property>
<name>dfs.permissions.enable</name>
<value>false</value>
</property>
<property>
<name>hadoop.http.staticuser.user</name>
<value>kfk</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/opt/momdules/hadoop-2.6.0/data/tmp</value>
</property>
创建目录：
[[email protected] hadoop-2.6.0]$ mkdir -p data/tmp [[email protected]-pro01 hadoop-2.6.0]$ cd data/tmp/ [[email protected]-pro01 tmp]$ pwd /opt/momdules/hadoop-2.6.0/data/tmp
然后分发配置到其他节点：
由于修改东西并且新建了路径，为了安全起见，先删掉两个节点的hadoop文件夹，全部重发一次吧。
[[email protected] momdules]$ rm -rf hadoop-2.6.0/ //注意删除的是02和03节点，别删错了。
然后分发：
scp -r ./hadoop-2.6.0/ [email protected]:/opt/momdules/ scp -r ./hadoop-2.6.0/ [email protected]:/opt/momdules/
格式化NameNode
格式化之前要先停掉所有服务：
[[email protected] hadoop-2.6.0]$ sbin/yarn-daemon.sh stop resourcemanager stopping resourcemanager [[email protected]-pro01 hadoop-2.6.0]$ sbin/yarn-daemon.sh stop nodemanager stopping nodemanager [[email protected]-pro01 hadoop-2.6.0]$ sbin/mr-jobhistory-daemon.sh stop historyserver stopping historyserver [[email protected]-pro01 hadoop-2.6.0]$ sbin/hadoop-daemon.sh stop namenode stopping namenode [[email protected]-pro01 hadoop-2.6.0]$ sbin/hadoop-daemon.sh stop datanode stopping datanode [[email protected]-pro01 hadoop-2.6.0]$ jps 24207 Jps
格式化：
[[email protected] hadoop-2.6.0]$ bin/hdfs namenode -format
启动各个节点机器服务
1）启动NameNode命令：
sbin/hadoop-daemon.sh start namenode（01节点）
2) 启动DataNode命令：
sbin/hadoop-daemon.sh start datanode（01/02/03节点）
格式化Namenode之后之前建立的路径也就没有了，所有我们要重新创建。
[[email protected] hadoop-2.6.0]$ bin/hdfs dfs -mkdir -p /user/kfk/data
3）启动ResourceManager命令：
sbin/yarn-daemon.sh start resourcemanager（01节点）
4）启动NodeManager命令：
sbin/yarn-daemon.sh start nodemanager(01/02/03节点)
5）启动log日志命令：
sbin/mr-jobhistory-daemon.sh start historyserver(01节点)
（五）YARN集群运行MapReduce程序测试
前面hdfs和yarn都启动起来之后，可以通过运行WordCount程序检测一下集群是否能run起来。
重新上传测试文件：
[[email protected] hadoop-2.6.0]$ bin/hdfs dfs -put /opt/datas/wc.input /user/kfk/data/
然后创建一个输出目录：
[[email protected] hadoop-2.6.0]$ bin/hdfs dfs -mkdir -p /user/kfk/data/output/
使用集群自带的WordCount程序执行命令：
[[email protected] hadoop-2.6.0]$ bin/yarn jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar wordcount /user/kfk/data/wc.input /user/kfk/data/output
18/10/16 15:19:40 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/10/16 15:19:41 INFO client.RMProxy: Connecting to ResourceManager at bigdata-pro01.kfk.com/192.168.86.151:8032
org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory hdfs://bigdata-pro01.kfk.com:9000/user/kfk/data/output already exists
at org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.checkOutputSpecs(FileOutputFormat.java:146)
at org.apache.hadoop.mapreduce.JobSubmitter.checkSpecs(JobSubmitter.java:562)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:432)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1296)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1293)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1293)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1314)
at org.apache.hadoop.examples.WordCount.main(WordCount.java:87)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:71)
at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144)
at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
运行报错。原因是输出目录已经存在，而MapReduce执行时会检测输出目录是否存在，不存在则自动创建并正常执行；否则报错。所以我们重新运行，在输出目录后再追加一个目录即可。
[[email protected] hadoop-2.6.0]$ bin/yarn jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar wordcount /user/kfk/data/wc.input /user/kfk/data/output/1
点击History可以查看日志
这样就能很方便地查看日志，而不用在命令行进hadoop的logs/目录下去查看了。我们查看一下运行结果：
[[email protected] hadoop-2.6.0]$ bin/hdfs dfs -text /user/kfk/data/output/1/par* 18/10/16 16:00:37 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable hadoop 1 hbase 1 hive 2 java 1 spark 1
很明显结果是正确的（上图中黄色为行号，而非文件内容）！
（六）ssh无秘钥登录
在集群搭建的过程中，需要不同节点分发文件，那么节点间分发文件每次都需要输入密码，比较麻烦。另外在hadoop 集群启动过程中，也需要使用批量脚本统一启动各个节点服务，此时也需要节点之间实现无秘钥登录。具体操作步骤如下所示：
1.主节点上创建 .ssh 目录，然后生成公钥文件id_rsa.pub和私钥文件[[email protected] datas]$ cd
[[email protected] ~]$ cd .ssh [[email protected]-pro01 .ssh]$ ls known_hosts [[email protected]-pro01 .ssh]$ cat known_hosts bigdata-pro02.kfk.com,192.168.86.152 ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAsHpzF1vSSqZPIbTKrhsxKGqofgngHbm5MdXItaSEJ8JemIuWrMo5++0g3QG/m/DRW8KqjXhnBO819tNIqmVNeT+0cH7it9Nosz1NWfwvXyNy+lbxdjfqSs+DvMh0w5/ZoiXVdqWmPAh2u+CP4BKbHS4VKRNoZk42B+1+gzXxN6Gt1kxNemLsLw6251IzmsX+dVr8iH493mXRwE9dv069uKoA0HVwn6FL51D8c1H1v1smD/EzUsL72TUknz8DV43iawIBDMSw4GQJFoZtm2ogpCuIhBfLwTfl+5yyzjY8QdwH5sDiKFlPX476M+A1s+mneyQtaaRwORIiOvs7TgtSTw== bigdata-pro03.kfk.com,192.168.86.153 ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAsHpzF1vSSqZPIbTKrhsxKGqofgngHbm5MdXItaSEJ8JemIuWrMo5++0g3QG/m/DRW8KqjXhnBO819tNIqmVNeT+0cH7it9Nosz1NWfwvXyNy+lbxdjfqSs+DvMh0w5/ZoiXVdqWmPAh2u+CP4BKbHS4VKRNoZk42B+1+gzXxN6Gt1kxNemLsLw6251IzmsX+dVr8iH493mXRwE9dv069uKoA0HVwn6FL51D8c1H1v1smD/EzUsL72TUknz8DV43iawIBDMSw4GQJFoZtm2ogpCuIhBfLwTfl+5yyzjY8QdwH5sDiKFlPX476M+A1s+mneyQtaaRwORIiOvs7TgtSTw== [[email protected]-pro01 .ssh]$ rm -f known_hosts //保证.ssh目录是干净的 [[email protected]-pro01 .ssh]$ ls [[email protected]-pro01 .ssh]$ ssh-keygen -t rsa Generating public/private rsa key pair. Enter file in which to save the key (/home/kfk/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/kfk/.ssh/id_rsa. Your public key has been saved in /home/kfk/.ssh/id_rsa.pub. The key fingerprint is: 6f:a2:83:da:9d:77:71:e5:29:71:a1:27:0c:7a:8d:b8 [email protected]pro01.kfk.com The key‘s randomart image is: +--[ RSA 2048]----+ | | | . . | | o = . . | | o o * + | | So B . | | E.. o o | | . . oo . | | ....o.o. | | ... +o . | +-----------------+
2.拷贝公钥到各个机器
ssh-copy-id bigdata-pro1.kfk.com ssh-copy-id bigdata-pro2.kfk.com ssh-copy-id bigdata-pro3.kfk.com
3.测试ssh连接
ssh bigdata-pro1.kfk.com ssh bigdata-pro2.kfk.com ssh bigdata-pro3.kfk.com [[email protected]-pro01 .ssh]$ ssh bigdata-pro02.kfk.com Last login: Tue Oct 16 13:17:38 2018 from 192.168.86.1
4.测试hdfs
ssh无秘钥登录做好之后，可以在主节点通过一键启动/停止命令，启动/停止hdfs各个节点的服务，具体操作如下所示：
[[email protected] hadoop-2.6.0]$ sbin/stop-dfs.sh 18/10/16 15:52:53 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Stopping namenodes on [bigdata-pro01.kfk.com] bigdata-pro01.kfk.com: stopping namenode bigdata-pro03.kfk.com: stopping datanode bigdata-pro01.kfk.com: stopping datanode bigdata-pro02.kfk.com: stopping datanode Stopping secondary namenodes [0.0.0.0] The authenticity of host ‘0.0.0.0 (0.0.0.0)‘ can‘t be established. RSA key fingerprint is b5:48:fe:c4:80:24:0c:aa:5c:f5:6f:82:49:c5:f8:8e. Are you sure you want to continue connecting (yes/no)? yes 0.0.0.0: Warning: Permanently added ‘0.0.0.0‘ (RSA) to the list of known hosts. 0.0.0.0: no secondarynamenode to stop 18/10/16 15:53:17 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable [[email protected]-pro01 hadoop-2.6.0]$ sbin/stop-yarn.sh stopping yarn daemons stopping resourcemanager bigdata-pro03.kfk.com: stopping nodemanager bigdata-pro02.kfk.com: stopping nodemanager bigdata-pro01.kfk.com: stopping nodemanager no proxyserver to stop
如果yarn和hdfs主节点共用，配置一个节点即可。否则，yarn也需要单独配置ssh无秘钥登录。
（七）配置集群内机器时间同步（使用Linux ntp进行）
参考博文：https://www.cnblogs.com/zimo-jing/p/8892697.html
注：在三个节点上都要进行操作，还有最后一个命令使用sudo。
以上就是博主为大家介绍的这一板块的主要内容，这都是博主自己的学习过程，希望能给大家带来一定的指导作用，有用的还望大家点个支持，如果对你没用也望包涵，有错误烦请指出。如有期待可关注博主以第一时间获取更新哦，谢谢！同时也欢迎转载，但必须在博文明显位置标注原文地址，解释权归博主所有！
原文地址：https://www.cnblogs.com/zimo-jing/p/9800393.html
时间： 2024-08-29 05:18:24