在linux上部署hadoop-3.3.6,hbase-2.5.6 ,apache-zookeeper-3.8.1集群
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一、hadoop介绍
Hadoop是一个由Apache基金会所开发的分布式系统基础架构。用户可以在不了解分布式底层细节的情况下,开发分布式程序。充分利用集群的威力进行高速运算和存储。Hadoop实现了一个分布式文件系统( Distributed File System),其中一个组件是HDFS(Hadoop Distributed File System)
二、hbase
HBase是一个分布式、可扩展、支持海量数据存储的NoSQL数据库。底层物理存储是以Key-Value的数据格式存储的,HBase中的所有数据文件都存储在Hadoop HDFS文件系统上。
三、环境配置
1、jdk1.8
2、hadoop-3.3.6
3、hbase-2.5.6
4、zookeeper-3.8.1
四、环境变量配置
export JAVA_HOME=/usr/local/jdk1.8.0_391
export JRE_HOME=/usr/local/jdk1.8.0_391/jre
export HBASE_HOME=/usr/local/bigdata/hbase-2.5.6
#export HBASE_HOME=/usr/local/bigdata/hbase-2.5.6-hadoop3
export FLINK_HOME=/usr/local/bigdata/flink-1.18.0
export SCALA_HOME=/usr/local/bigdata/scala-2.13.12
export HADOOP_HOME=/usr/local/bigdata/hadoop-3.3.6
export SPARK_HOME=/usr/local/bigdata/spark-3.5.0-bin-hadoop3
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JAR_HOME/lib
export PATH=.:$JAVA_HOME/bin:$JRE_HOME/bin:$SCALA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$SPARK_HOME/bin:$FLINK_HOME/bin:$HBASE_HOME/bin:$PYTHON_HOME/bin:$PATH
五、hadoop配置
5.1、 yarn-site.xml
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>node1</value>
</property>
<property>
<name>yarn.application.classpath</name>
<value>/usr/local/bigdata/hadoop-3.3.6/etc/hadoop:/usr/local/bigdata/hadoop-3.3.6/share/hadoop/common/lib/*:/usr/local/bigdata/hadoop-3.3.6/share/hadoop/common/*:/usr/local/bigdata/hadoop-3.3.6/share/hadoop/hdfs:/usr/local/bigdata/hadoop-3.3.6/share/hadoop/hdfs/lib/*:/usr/local/bigdata/hadoop-3.3.6/share/hadoop/hdfs/*:/usr/local/bigdata/hadoop-3.3.6/share/hadoop/mapreduce/*:/usr/local/bigdata/hadoop-3.3.6/share/hadoop/yarn:/usr/local/bigdata/hadoop-3.3.6/share/hadoop/yarn/lib/*:/usr/local/bigdata/hadoop-3.3.6/share/hadoop/yarn/*</value>
</property>
5.2、hdfs-site.xml
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>file:///usr/local/bigdata/hadoop-3.3.6/data/namenode</value> //注意前面部分路径修改为自己的
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:///usr/local/bigdata/hadoop-3.3.6/data/datanode</value> //注意前面部分路径修改为自己的
</property>
<property>
<name>dfs.namenode.secondary.http-address</name>
<value>node2:9860</value>
</property>
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>false</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.mycluster</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<property>
<name>dfs.ha.fencing.methods</name>
<value>sshfence</value>
</property>
<property>
<name>dfs.permissions.enabled</name>
<value>false</value>
</property>
<property>
<name>dfs.image.transfer.bandwidthPerSec</name>
<value>1048576</value>
</property>
<property>
<name>dfs.block.scanner.volume.bytes.per.second</name>
<value>1048576</value>
</property>
<property>
<name>dfs.datanode.balance.bandwidthPerSec</name>
<value>20m</value>
</property>
5.3、core-site.yml
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/local/bigdata/hadoop-3.3.6/data</value> //注意前面部分路径修改为自己的
</property>
<property>
<name>fs.defaultFS</name>
<value>hdfs://node1:9000</value>
</property>
<property>
<name>hadoop.http.authentication.simple.anonymous.allowed</name>
<value>true</value>
</property>
<property>
<name>hadoop.http.staticuser.user</name>
<value>root</value>
</property>
<property>
<name>hadoop.proxyuser.root.hosts</name>
<value>*</value>
</property>
<property>
<name>hadoop.proxyuser.root.groups</name>
<value>*</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>1048576</value>
<description>Size of read/write SequenceFiles buffer: 128K</description>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>node1:2181,node2:2181,node3:2181</value>
</property>
<property>
<name>hadoop.zk.address</name>
<value>node1:2181,node2:2181,node3:2181</value>
</property>
5.5、mapred-site.xml
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>node1:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>node1:19888</value>
</property>
<property>
<name>mapreduce.map.memory.mb</name>
<value>1024</value>
</property>
<property>
<name>mapreduce.reduce.memory.mb</name>
<value>2048</value>
</property>
5.6、workers
node1
node2
node3
六、hadoop启动
http://192.168.42.139:8088/

http://192.168.42.139:9870/
七、hbase配置
7.1、修改hbase-env.sh
export JAVA_HOME=${JAVA_HOME}
export HBASE_LOG_DIR=${HBASE_HOME}/logs
export HBASE_MANAGES_ZK=false
7.2、修改hbase-site.xml
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<property>
<name>hbase.tmp.dir</name>
<value>hdfs://node1:9000/hbase/tmp</value>
</property>
<property>
<name>hbase.unsafe.stream.capability.enforce</name>
<value>false</value>
</property>
<property>
<name>hbase.master.info.port</name>
<value>16010</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/usr/local/bigdata/hbase-2.5.6/data/zk</value>
</property>
<property>
<name>hbase.rootdir</name>
<value>hdfs://node1:9000/hbase</value>
</property>
<property>
<name>hbase.master</name>
<value>node1:16010</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>node1:2181,node2:2181,node3:2181</value>
</property>
<property>
<name>hbase.wal.provider</name>
<value>filesystem</value>
</property>
<property>
<name>hbase.unsafe.stream.capability.enforce</name>
<value>false</value>
</property>
7.3、访问hbase
http://192.168.42.139:16010/




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