Hadoop伪分布式环境快速搭建

Posted 2020-11-09 领域见识决定专业高度

Hadoop分支

• Apache
• Cloudera
• Hortonworks

本文是采用Cloudera分支的hadoop。

下载cdh-5.3.6 版本

下载地址：http://archive.cloudera.com/cdh5/cdh/5/

各组件版本一定保持一致。

• cdh5.3.6-snappy-lib-natirve.tar.gz
• hadoop-2.5.0-cdh5.3.6.tar.gz
• hive-0.13.1-cdh5.3.6.tar.gz
• sqoop-1.4.5-cdh5.3.6.tar.gz

安装配置

• 配置好jdk
• 上传到ubuntu /opt/software/cdh。
• tar -zxvf hadoop-2.5.0-cdh5.3.6.tar.gz -C /opt/cdh-5.3.6
• tar -zxvf hive-0.13.1-cdh5.3.6.tar.gz -C /opt/cdh-5.3.6

修改hadoop-env.sh、yarn-env.sh、mapred-env.sh中JAVA_HOME 配置core-site.xml

<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://hp-expert.tianpo.com:8020</value>
    </property> 
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/opt/cdh-5.3.6/hadoop-2.5.0-cdh5.3.6/data/tmp</value>
    </property>
</configuration>

配置hdfs-site.xml

<configuration>
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>hp-expert.tianpo.com:50090</value>
    </property>
    <property>
        <name>dfs.namenode.http-address</name>
        <value>hp-expert.tianpo.com:50070</value>
    </property>
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
        <property>
        <name>dfs.permissions</name>
        <value>false</value>
    </property>
</configuration>    

配置mapred-site.xml

<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.address</name>
        <value>hp-expert.tianpo.com:10020</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>hp-expert.tianpo.com:19888</value>
    </property>
</configuration>

配置yarn-site.xml

<configuration>
    <property>
        <name>yarn.resourcemanager.hostname</name>
        <value>hp-expert.tianpo.com</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.log-aggregation-enable</name>
        <value>true</value>
    </property>
    <property>
        <name>yarn.log-aggregation.retain-seconds</name>
        <value>640800</value>
    </property>
</configuration>

配置slaves

hp-expert.tianpo.com

格式化namenode

cd /opt/cdh-5.3.6/hadoop-2.5.0-cdh5.3.6

bin/hdfs namenode -format

启动

sbin/hadoop-daemon.sh start namenode

sbin/hadoop-daemon.sh start datanode

sbin/yarn-daemon.sh start resourcemanager

sbin/yarn-daemon.sh start nodemanager

sbin/mr-jobhistory-daemon.sh start historyserver

检查jps:

• 1905 NameNode
• 2354 NodeManager
• 2499 JobHistoryServer
• 2084 ResourceManager
• 1991 DataNode
• 2538 Jps

访问：http://hp-expert.tianpo.com:50070/ 如果打不开，检查是否有端口在监听：netstat –ant 50070

检查host配置：格式为（不能以用127.0.0.1）：IP 域名

配置hive

配置hive-env.sh

# Set HADOOP_HOME to point to a specific hadoop install directory
HADOOP_HOME=/opt/cdh-5.3.6/hadoop-2.5.0-cdh5.3.6

# Hive Configuration Directory can be controlled by:
export HIVE_CONF_DIR=/opt/cdh-5.3.6/hive-0.13.1-cdh5.3.6/conf

配置hive-log4j.properties

hive.log.threshold=ALL
hive.root.logger=WARN,DRFA
hive.log.dir=/opt/cdh-5.3.6/hive-0.13.1-cdh5.3.6/logs
hive.log.file=hive.log

配置hive.site.xml(touch hive.site.xml)

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
    <property>
      <name>javax.jdo.option.ConnectionURL</name>
      <value>jdbc:mysql://host:3306/metadata?createDatabaseIfNotExist=true</value>
    </property>
    <property>
      <name>javax.jdo.option.ConnectionDriverName</name>
      <value>com.mysql.jdbc.Driver</value>
    </property>
    <property>  
      <name>javax.jdo.option.ConnectionUserName</name>  
      <value>***</value>  
    </property>  

    <property>  
      <name>javax.jdo.option.ConnectionPassword</name>  
      <value>***</value>  
    </property>
    <property>
      <name>hive.cli.print.header</name>
      <value>true</value>
    </property>

    <property>
      <name>hive.cli.print.current.db</name>
      <value>true</value>
    </property>
    <property>
      <name>hive.fetch.task.conversion</name>
      <value>more</value>
    </property>
</configuration>

需要把jdbc驱动上传到hive/lib下（mysql-connector-java-5.1.27.jar），注意对应的版本。