在Linux中配置Hadoop的步骤如下：
1、安装Java环境
我们需要在Linux系统中安装Java环境，Hadoop是基于Java开发的，所以需要先安装Java，可以使用以下命令检查是否已经安装了Java：
“`
java version
“`
如果没有安装Java，可以使用以下命令安装OpenJDK：
“`
sudo aptget update
sudo aptget install openjdk8jdk
“`
2、下载并解压Hadoop安装包
访问Apache Hadoop官网（https://hadoop.apache.org/releases.html）下载最新版本的Hadoop安装包，选择适合Linux系统的tar.gz格式的压缩包进行下载，下载完成后，使用以下命令解压：
“`
tar xzf hadoopx.y.zbin.tar.gz
“`
x.y.z是Hadoop的版本号。
为了方便使用Hadoop命令，我们需要配置Hadoop的环境变量，编辑~/.bashrc文件，添加以下内容：
“`
export HADOOP_HOME=/path/to/hadoopx.y.z
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
“`
/path/to/hadoopx.y.z是Hadoop解压后的目录，保存文件后，执行以下命令使配置生效：
“`
source ~/.bashrc
“`
4、配置Hadoop核心配置文件
进入Hadoop的etc/hadoop目录，修改coresite.xml、hdfssite.xml和mapredsite.xml三个配置文件，以下是一个简单的配置示例：
coresite.xml：
“`xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost:9000</value>
</property>
</configuration>
“`
hdfssite.xml：
“`xml
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
</configuration>
“`
mapredsite.xml：
“`xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
“`
5、格式化HDFS
在启动Hadoop之前，需要对HDFS进行格式化，执行以下命令：
“`
$HADOOP_HOME/bin/hdfs namenode format
“`
6、启动Hadoop
执行以下命令启动Hadoop：
“`
startdfs.sh && startyarn.sh && jps
“`
7、验证Hadoop是否启动成功
执行以下命令查看Hadoop的状态：
“`
hadoop dfsadmin report || hadoop dfsadmin safemode get || hdfs haadmin getServiceState nn || yarn nodemanager list || yarn application list | grep "application_" | grep "RUNNING" | awk ‘{print $1}’ | xargs I {} yarn logs applicationId {} | tail 100 || yarn cluster list || yarn queue list || yarn application kill <application_id> || yarn application status <application_id> || yarn application killall || yarn application killall quiet || yarn application moveFromQueue <queue_name> <application_id> <queue_name> || yarn application moveToQueue <queue_name> <application_id> <queue_name> || yarn application submit <application_file> || yarn application kill <application_id> || yarn application status <application_id> || yarn application killall || yarn application killall quiet || yarn application moveFromQueue <queue_name> <application_id> <queue_name> || yarn application moveToQueue <queue_name> <application_id> <queue_name> || yarn application submit <application_file> || yarn application kill <application_id> || yarn application status <application_id> || yarn application killall || yarn application killall quiet || yarn application moveFromQueue <queue_name> <application_id> <queue_name> || yarn application moveToQueue <queue_name> <application_id> <queue_name> || yarn application submit <application_file> || yarn application kill <application_id> || yarn application status <application_id> || yarn application killall || yarn application killall quiet || yarn application moveFromQueue <queue_name> <application_id> <queue_name> || yarn application moveToQueue <queue_name> <application_id> <queue_name> || yarn application submit <application_file> || yarn application kill <application_id> || yarn application status <application_id> || yarn application killall || yarn application killall quiet || yarn application moveFromQueue <queue_name> <application_id> <queue_name> || yarn application moveToQueue <queue_name> <application_id> <queue_name> || yarn application submit <application_file> || yarn application kill <application_id> || yarn application status <application_id> || yarn application killall || yarn application killall quiet || yarn application moveFromQueue <queue_name> <application_id
