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Hbase集群搭建二(Hadoop搭建)

服务器准备:下述内容绑定 /etc/hosts
    10.110.110.10 master
    10.110.110.11 slave1
    10.110.110.12 slave2
 
操作用户准备:hbase
 
1. 下载源码:mesos hadoop 源码并解压至 hadoop
2. 进入hadoop文件夹,编辑 pom.xml 文件确认 mesos 版本
<mesos.version>1.0.0</mesos.version>

3. 安装jdk:下载地址 (root用户安装)

[root@centos66-2 hadoop]# java -version
java version "1.8.0_101"
Java(TM) SE Runtime Environment (build 1.8.0_101-b13)
Java HotSpot(TM) 64-Bit Server VM (build 25.101-b13, mixed mode)

4. 安装Apache-maven  下载

apache-maven:是一个项目管理和构建自动化工具

wget http://apache.fayea.com/maven/maven-3/3.5.0/binaries/apache-maven-3.5.0-bin.tar.gz

tar -xvf apache-maven-3.5.0-bin.tar.gz

export PATH=/home/hbase/apache-maven-3.5.0/bin:/usr/java/jdk1.8.0_101/bin:$PATH

5. mvn package

$ cd /home/hadoop

$ man package

6. 下载 hadoop 发行版

wget http://archive.cloudera.com/cdh5/cdh/5/hadoop-2.5.0-cdh5.2.0.tar.gz

tar -xvf hadoop-2.5.0-cdh5.2.0.tar.gz

7. 文件复制

cp /home/hbase/hadoop/target/hadoop-mesos-0.1.0.jar /home/hbase/hadoop-2.5.0/share/hadoop/common/lib/

8. 执行脚本

cd hadoop-2.5.0
 
mv bin bin-mapreduce2
mv examples examples-mapreduce2
ln -s bin-mapreduce1 bin
ln -s examples-mapreduce1 examples
 
pushd etc
mv hadoop hadoop-mapreduce2
ln -s hadoop-mapreduce1 hadoop
popd
 
pushd share/hadoop
rm mapreduce
ln -s mapreduce1 mapreduce
popd

9. hadoop 文件配置 core-site.xml  文件位置:hadoop-2.5.0/etc/hadoop/

<configuration>
  <property>
   <name>hadoop.tmp.dir</name>
   <value>/home/grid/working/hadoop/ljl_hadoop_data</value>
 </property>
  <property>
   <name>fs.defaultFS</name>
   <value>hdfs://10.110.110.10:9000</value>
 </property>
   <!-- This value should match the value in fs.defaultFS -->
 <property>
   <name>fs.default.name</name>
   <value>hdfs://10.110.110.10:9000</value>
 </property>
</configuration>

10. hdfs-site.xml

<configuration>
  <property>
  <name>dfs.permissions</name>
  <value>false</value>
  </property>
  <property>
  <name>dfs.replication</name>
  <value>1</value>
  </property>
</configuration>

11. mapred-site.xml

<configuration>
 <property>
  <name>mapred.job.tracker</name>
  <value>10.110.110.10:9001</value>
 </property>
 <property>
   <name>mapred.jobtracker.taskScheduler</name>
   <value>org.apache.hadoop.mapred.MesosScheduler</value>
 </property>
 <property>
   <name>mapred.mesos.taskScheduler</name>
   <value>org.apache.hadoop.mapred.JobQueueTaskScheduler</value>
 </property>
 <property>
   <name>mapred.mesos.master</name>
   <value>10.110.110.10:5050</value>
 </property>
 <property>
   <name>mapred.mesos.executor.uri</name>
   <value>hdfs://10.110.110.10:9000/hadoop-2.5.0.tar.gz</value>
 </property>
</configuration>

12.masters

master

13.slaves

slave1
salve2

14. hadoop-env.sh  至少要配置 JAVA_HOME

export JAVA_HOME=/usr/java/jdk1.7.0_76
export MESOS_JAR="/usr/share/java/mesos-0.24.0.jar"
export PROTOBUF_JAR="/home/hbase/hadoop-2.5.0/share/hadoop/mapreduce1/lib/protobuf-java-2.5.0.jar"
export MESOS_NATIVE_JAVA_LIBRARY="/usr/local/lib/libmesos.so"
export MESOS_NATIVE_LIBRARY="/usr/local/lib/libmesos.so"
export HADOOP_CLASSPATH="/usr/share/java/mesos-0.24.0.jar:$HADOOP_CLASSPATH"
export HADOOP_HEAPSIZE=2000

15. mesos-master-env.sh    文件位置/usr/etc/mesos

export PATH=/home/hbase/hadoop-2.5.0/bin:$PATH
export MESOS_log_dir=/var/log/mesos

16. mesos-slave-env.sh

export PATH=/home/hbase/hadoop-2.5.0/bin:$PATH
export MESOS_log_dir=/var/log/mesos

17. 重启 mesos

18. 启动hdfs (18-20 只在master上操作)

export PATH=/home/hbase/hadoop-2.5.0/bin:$PATH
hadoop namenode -format
hadoop namenode &
hadoop datanode &

19.将hadoop-2.5.0打包上传

cd /home/hbase
tar zcf hadoop-2.5.0-cdh5.2.0.tar.gz hadoop-2.5.0
hadoop fs -put hadoop-2.5.0-cdh5.2.0.tar.gz /hadoop-2.5.0-cdh5.2.0.tar.gz

20. 启动jobtacker

hadoop jobtracker &

21. 进入slave1 , slave 2 查看hadoop是否启动,若无启动,格式化手动启动

$ ssh grid@10.110.110.10

$ ps -aux | grep hadoop

22. 格式化启动操作

$ cd /home/hbase/hadoop-2.5.0/bin

$ bin/hadoop namenode -format

$ bin/start-mapred.sh

 

 

 

 

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Hbase集群搭建二(Hadoop搭建)