Hadoop2.7.7 centos7 完全分布式配置与问题随记

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这里是当初在三个ECS节点上搭建hadoop+zookeeper+hbase+solr的主要步骤，文章内容未经过润色，请参考的同学搭配其他博客一同使用，并记得根据实际情况调整相关参数。

0.prepare

jdk，推荐1.8

关闭防火墙

开放ECS安全组

三台机器之间的免密登陆ssh

ip映射：【question1】hadoop启动时出现报错java.net.BindException: Cannot assign requested address

说明ip映射没有配置正确，正确的方式是在每一个节点上，都执行"内外外"的配置方式，即将本机与本机的内网ip对应，其他机器设置为外网ip

下面的文件要在每个节点上都修改

1. vi /etc/profile

1. vi /etc/profile /opt/hadoop/hadoop-2.7.7export HADOOP_HOME=/opt/hadoop/hadoop-2.7.7 export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib" export PATH=.:${JAVA_HOME}/bin:${HADOOP_HOME}/bin:$PATH#使环境变量生效 souce /etc/profile #检验 hadoop version

2. vi /.../hadoop-2.7.7/etc/hadoop/core-site.xml

<configuration><property> <name>fs.defaultFS</name> <value>hdfs://Gwj:8020</value> <description>定义默认的文件系统主机和端口</description> </property><property> <name>io.file.buffer.size</name> <value>4096</value> <description>流文件的缓冲区为4K</description> </property><property> <name>hadoop.tmp.dir</name> <value>file:/opt/hadoop/hadoop-2.7.7/tempdata</value> <description>A base for other temporary directories.</description> </property></configuration>

3. vi /.../hadoop-2.7.7/etc/hadoop/hdfs-site.xml

<configuration> <property> <name>dfs.replication</name> <value>2</value> </property> <property> <name>dfs.namenode.name.dir</name> <value>/opt/hadoop/hadoop-2.7.7/dfs/name</value> </property> <property> <name>dfs.datanode.data.dir</name> <value>/opt/hadoop/hadoop-2.7.7/dfs/data</value> </property> <property> <name>dfs.webhdfs.enabled</name> <value>true</value> </property>  <property> <name>dfs.webhdfs.enabled</name> <value>true</value> </property> <property> <name>dfs.permissions.enabled</name> <value>false</value> </property>  <property> <name>dfs.http.address</name> <value>Gwj:50070</value> </property> <property> <name>dfs.namenode.secondary.http-address</name> <value>Ssj:50090</value> </property> </configuration>

4. vi /.../hadoop-2.7.7/etc/hadoop/mapred-site.xml

<configuration> <property> <name>mapreduce.framework.name</name> <value>local</value> </property>  <property> <name>mapreduce.jobhistory.address</name> <value>0.0.0.0:10020</value> </property>  <property> <name>mapreduce.jobhistory.webapp.address</name> <value>0.0.0.0:19888</value> </property></configuration>

5. vi /.../hadoop-2.7.7/etc/hadoop/yarn-site.xml

<configuration><property> <name>yarn.resourcemanager.hostname</name> <value>Gwj</value> <description>指定resourcemanager所在的hostname</description> </property><property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> <description>NodeManager上运行的附属服务。需配置成mapreduce_shuffle，才可运行MapReduce程序 </description> </property></configuration>

6.vi /.../hadoop-2.7.7/etc/hadoop/slaves

老版本是slaves文件，3.0.3 用 workers 文件代替 slaves 文件

将localhost删掉，加入dataNode节点的主机名 [root@Gwj ~]# cat /opt/hadoop/hadoop-2.7.7/etc/hadoop/slaves Ssj Pyf

7.首次使用进行格式化

hdfs namenode -format

8.启动

/.../hadoop-2.7.7/sbin/start/start-all.shhdfs /.../hadoop-2.7.7/sbin/start/start-dfs.shYarn /.../hadoop-2.7.7/sbin/start/start-yarn.sh#start可替换为stop、status

9.检验

使用jps检验 hadoop hdfs Master---NameNode (SecondaryNameNode) Slave---DataNode Yarn Master---ResourceManager Slave---NodeManager

或者使用 “Master ip+50070”

---以下的yarn未设置，注意<configuration>！！！<property> <name>yarn.resourcemanager.address</name> <value>${yarn.resourcemanager.hostname}:8032</value> </property><property> <description>The address of the scheduler interface.</description> <name>yarn.resourcemanager.scheduler.address</name> <value>${yarn.resourcemanager.hostname}:8030</value> </property><property> <description>The http address of the RM web application.</description> <name>yarn.resourcemanager.webapp.address</name> <value>${yarn.resourcemanager.hostname}:8088</value> </property><property> <description>The https adddress of the RM web application.</description> <name>yarn.resourcemanager.webapp.https.address</name> <value>${yarn.resourcemanager.hostname}:8090</value> </property><property> <name>yarn.resourcemanager.resource-tracker.address</name> <value>${yarn.resourcemanager.hostname}:8031</value> </property><property> <description>The address of the RM admin interface.</description> <name>yarn.resourcemanager.admin.address</name> <value>${yarn.resourcemanager.hostname}:8033</value> </property><property> <name>yarn.scheduler.maximum-allocation-mb</name> <value>2048</value> <discription>每个节点可用内存,单位MB,默认8182MB，根据阿里云ECS性能配置为2048MB</discription> </property><property> <name>yarn.nodemanager.vmem-pmem-ratio</name> <value>2.1</value> </property><property> <name>yarn.nodemanager.resource.memory-mb</name> <value>2048</value> </property><property> <name>yarn.nodemanager.vmem-check-enabled</name> <value>false</value> </property></configuration>

正文

Hadoop2.7.7 centos7 完全分布式配置与问题随记