linux中配置hadoop的步骤是什么

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。

3、配置Hadoop环境变量

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