Hadoop2.7.7 centos7 完全分散式 配置與問題隨記
阿新 • • 發佈:2020-07-04
Hadoop2.7.7 centos7 完全分散式 配置與問題隨記
這裡是當初在三個ECS節點上搭建hadoop+zookeeper+hbase+solr的主要步驟,文章內容未經過潤色,請參考的同學搭配其他部落格一同使用,並記得根據實際情況調整相關引數。
0.prepare
jdk,推薦1.8
關閉防火牆
開放ECS安全組
三臺機器之間的免密登陸ssh
ip對映:【question1】hadoop啟動時出現報錯java.net.BindException: Cannot assign requested address
說明ip對映沒有配置正確,正確的方式是在每一個節點上,都執行"內外外"
下面的檔案要在每個節點上都修改
1. vi /etc/profile
1. vi /etc/profile /opt/hadoop/hadoop-2.7.7 export 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 #使環境變數生效 souce /etc/profile #檢驗 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>定義預設的檔案系統主機和埠</description> </property> <property> <name>io.file.buffer.size</name> <value>4096</value> <description>流檔案的緩衝區為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>
<!--後增,如果想讓solr索引存放到hdfs中,則還須新增下面兩個屬性-->
<property>
<name>dfs.webhdfs.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.permissions.enabled</name>
<value>false</value>
</property>
<!--【question2】SecondayNameNode預設與NameNode在同一臺節點上,在實際生產過程中有安全隱患。解決方法:加入如下配置資訊,指定NameNode和SecondaryNameNode節點位置-->
<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>
<!-- 指定mapreduce jobhistory地址 -->
<property>
<name>mapreduce.jobhistory.address</name>
<value>0.0.0.0:10020</value>
</property>
<!-- 任務歷史伺服器的web地址 -->
<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上執行的附屬服務。需配置成mapreduce_shuffle,才可執行MapReduce程式 </description>
</property>
</configuration>
6.vi /.../hadoop-2.7.7/etc/hadoop/slaves
老版本是slaves檔案,3.0.3 用 workers 檔案代替 slaves 檔案
將localhost刪掉,加入dataNode節點的主機名
[root@Gwj ~]# cat /opt/hadoop/hadoop-2.7.7/etc/hadoop/slaves
Ssj
Pyf
7.首次使用進行格式化
hdfs namenode -format
8.啟動
/.../hadoop-2.7.7/sbin/start/start-all.sh
hdfs
/.../hadoop-2.7.7/sbin/start/start-dfs.sh
Yarn
/.../hadoop-2.7.7/sbin/start/start-yarn.sh
#start可替換為stop、status
9.檢驗
使用jps檢驗
hadoop
hdfs
Master---NameNode (SecondaryNameNode)
Slave---DataNode
Yarn
Master---ResourceManager
Slave---NodeManager
或者使用 “Master ip+50070”
---以下的yarn未設定,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>每個節點可用記憶體,單位MB,預設8182MB,根據阿里雲ECS效能配置為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>