Hadoop 安装和配置

Hadoop 说明

Hadoop 官网：https://hadoop.apache.org/
Hadoop 官网下载：https://hadoop.apache.org/releases.html

基础环境

学习机器 2C4G（生产最少 8G）：
- 172.16.0.17
- 172.16.0.43
- 172.16.0.180
操作系统：CentOS 7.5
- root 用户
所有机子必备：Java：1.8
- 确保：echo $JAVA_HOME 能查看到路径，并记下来路径
Hadoop:2.6.5
关闭所有机子的防火墙：systemctl stop firewalld.service

集群环境设置

Hadoop 集群具体来说包含两个集群：HDFS 集群和 YARN 集群，两者逻辑上分离，但物理上常在一起
- HDFS 集群：负责海量数据的存储，集群中的角色主要有 NameNode / DataNode
- YARN 集群：负责海量数据运算时的资源调度，集群中的角色主要有 ResourceManager /NodeManager
- HDFS 采用 master/worker 架构。一个 HDFS 集群是由一个 Namenode 和一定数目的 Datanodes 组成。Namenode 是一个中心服务器，负责管理文件系统的命名空间 (namespace) 以及客户端对文件的访问。集群中的 Datanode 一般是一个节点一个，负责管理它所在节点上的存储。
分别给三台机子设置 hostname

hostnamectl --static set-hostname linux01
hostnamectl --static set-hostname linux02
hostnamectl --static set-hostname linux03

修改 hosts

就按这个来，其他多余的别加，不然可能也会有影响
vim /etc/hosts
172.16.0.17 linux01
172.16.0.43 linux02
172.16.0.180 linux03

对 linux01 设置免密：

生产密钥对
ssh-keygen -t rsa


公钥内容写入 authorized_keys
cat /root/.ssh/id_rsa.pub >> /root/.ssh/authorized_keys

测试：
ssh localhost

将公钥复制到两台 slave
- 如果你是采用 pem 登录的，可以看这个：SSH 免密登录

ssh-copy-id -i ~/.ssh/id_rsa.pub -p 22 root@172.16.0.43，根据提示输入 linux02 机器的 root 密码，成功会有相应提示
ssh-copy-id -i ~/.ssh/id_rsa.pub -p 22 root@172.16.0.180，根据提示输入 linux03 机器的 root 密码，成功会有相应提示


在 linux01 上测试：
ssh linux02
ssh linux03

Hadoop 安装

关于版本这件事，主要看你的技术生态圈。如果你的其他技术，比如 Spark，Flink 等不支持最新版，则就只能向下考虑。
我这里技术栈，目前只能到：2.6.5，所以下面的内容都是基于 2.6.5 版本
官网说明：https://hadoop.apache.org/docs/r2.6.5/hadoop-project-dist/hadoop-common/ClusterSetup.html
分别在三台机子上都创建目录：

mkdir -p /data/hadoop/hdfs/name /data/hadoop/hdfs/data /data/hadoop/hdfs/tmp

下载 Hadoop：http://apache.claz.org/hadoop/common/hadoop-2.6.5/
现在 linux01 机子上安装

cd /usr/local && wget http://apache.claz.org/hadoop/common/hadoop-2.6.5/hadoop-2.6.5.tar.gz
tar zxvf hadoop-2.6.5.tar.gz，有 191M 左右

给三台机子都先设置 HADOOP_HOME
- 会 ansible playbook 会方便点：Ansible 安装和配置

vim /etc/profile

export HADOOP_HOME=/usr/local/hadoop-2.6.5
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

source /etc/profile

修改 linux01 配置

修改 JAVA_HOME
vim $HADOOP_HOME/etc/hadoop/hadoop-env.sh

把 25 行的
export JAVA_HOME=${JAVA_HOME}
都改为
export JAVA_HOME=/usr/local/jdk1.8.0_191


vim $HADOOP_HOME/etc/hadoop/yarn-env.sh

文件开头加一行 export JAVA_HOME=/usr/local/jdk1.8.0_191

hadoop.tmp.dir == 指定hadoop运行时产生文件的存储目录


vim $HADOOP_HOME/etc/hadoop/core-site.xml，改为：

<configuration>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>file:/data/hadoop/hdfs/tmp</value>
    </property>
    <property>
        <name>io.file.buffer.size</name>
        <value>131072</value>
    </property>
    <!--
    <property>
        <name>fs.default.name</name>
        <value>hdfs://linux01:9000</value>
    </property>
    -->
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://linux01:9000</value>
    </property>
    <property>
        <name>hadoop.proxyuser.root.hosts</name>
        <value>*</value>
    </property>
    <property>
        <name>hadoop.proxyuser.root.groups</name>
        <value>*</value>
    </property>
</configuration>

配置包括副本数量
- 最大值是 datanode 的个数
数据存放目录

vim $HADOOP_HOME/etc/hadoop/hdfs-site.xml 

<configuration>
  <property>
    <name>dfs.replication</name>
    <value>2</value>
  </property>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:/data/hadoop/hdfs/name</value>
    <final>true</final>
  </property>
  <property>
    <name>dfs.datanode.data.dir</name>
    <value>file:/data/hadoop/hdfs/data</value>
    <final>true</final>
  </property>
  <property>
    <name>dfs.webhdfs.enabled</name>
    <value>true</value>
  </property>
  <property>
    <name>dfs.permissions</name>
    <value>false</value>
  </property>
</configuration>

设置 YARN

新创建：vim $HADOOP_HOME/etc/hadoop/mapred-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<configuration>
  <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
  </property>
    
  <property>
    <name>mapreduce.map.memory.mb</name>
    <value>4096</value>
  </property>
  
  <property>
    <name>mapreduce.reduce.memory.mb</name>
    <value>8192</value>
  </property>
  
  <property>
    <name>mapreduce.map.java.opts</name>
    <value>-Xmx3072m</value>
  </property>
  
  <property>
    <name>mapreduce.reduce.java.opts</name>
    <value>-Xmx6144m</value>
  </property>  
  
</configuration>

yarn.resourcemanager.hostname == 指定YARN的老大（ResourceManager）的地址
yarn.nodemanager.aux-services == NodeManager上运行的附属服务。需配置成mapreduce_shuffle，才可运行MapReduce程序默认值：""
32G 内存的情况下配置：

vim $HADOOP_HOME/etc/hadoop/yarn-site.xml 


<configuration>
  <property>
    <name>yarn.resourcemanager.hostname</name>
    <value>linux01</value>
  </property>

  <property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
  </property>

  <property>
    <name>yarn.nodemanager.vmem-pmem-ratio</name>
    <value>2.1</value>
  </property>
  
  <property>
    <name>yarn.nodemanager.resource.memory-mb</name>
    <value>20480</value>
  </property>
  
  <property>
    <name>yarn.scheduler.minimum-allocation-mb</name>
    <value>2048</value>
  </property>

</configuration>

配置 slave 相关信息

vim $HADOOP_HOME/etc/hadoop/slaves

把默认的配置里面的 localhost 删除，换成：
linux02
linux03

scp -r /usr/local/hadoop-2.6.5 root@linux02:/usr/local/

scp -r /usr/local/hadoop-2.6.5 root@linux03:/usr/local/

linux01 机子运行

格式化  HDFS
hdfs namenode -format

输出结果：

[root@linux01 hadoop-2.6.5]# hdfs namenode -format
18/12/17 17:47:17 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:   host = localhost/127.0.0.1
STARTUP_MSG:   args = [-format]
STARTUP_MSG:   version = 2.6.5
STARTUP_MSG:   classpath = /usr/local/hadoop-2.6.5/etc/hadoop:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-io-2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/activation-1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/slf4j-api-1.7.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/junit-4.11.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/curator-recipes-2.6.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jasper-compiler-5.5.23.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jets3t-0.9.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-lang-2.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-digester-1.8.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/guava-11.0.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/gson-2.2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jettison-1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jetty-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-httpclient-3.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-el-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/paranamer-2.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-collections-3.2.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-net-3.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/hadoop-auth-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/hamcrest-core-1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/stax-api-1.0-2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/curator-framework-2.6.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/xz-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jsr305-1.3.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jsp-api-2.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-compress-1.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/asm-3.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jsch-0.1.42.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-configuration-1.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-cli-1.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-logging-1.1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/htrace-core-3.0.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jetty-util-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-math3-3.1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/mockito-all-1.8.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jersey-json-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/zookeeper-3.4.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/httpclient-4.2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/servlet-api-2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/xmlenc-0.52.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/httpcore-4.2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/avro-1.7.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/commons-codec-1.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/curator-client-2.6.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/lib/hadoop-annotations-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/hadoop-common-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/hadoop-common-2.6.5-tests.jar:/usr/local/hadoop-2.6.5/share/hadoop/common/hadoop-nfs-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-io-2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/guava-11.0.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-el-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jasper-runtime-5.5.23.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jsr305-1.3.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jsp-api-2.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/asm-3.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/htrace-core-3.0.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/hadoop-hdfs-2.6.5-tests.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/hadoop-hdfs-nfs-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/hdfs/hadoop-hdfs-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-io-2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/activation-1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/aopalliance-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-lang-2.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/guice-3.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/guava-11.0.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jettison-1.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jetty-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-httpclient-3.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/xz-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jsr305-1.3.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-client-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/asm-3.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-cli-1.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-json-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/javax.inject-1.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/servlet-api-2.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jline-0.9.94.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/commons-codec-1.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-api-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-common-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-registry-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-client-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-common-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-tests-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/junit-4.11.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/guice-3.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/xz-1.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/asm-3.2.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/javax.inject-1.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/lib/hadoop-annotations-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.5.jar:/usr/local/hadoop-2.6.5/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.6.5-tests.jar:/usr/local/hadoop-2.6.5/contrib/capacity-scheduler/*.jar
STARTUP_MSG:   build = https://github.com/apache/hadoop.git -r e8c9fe0b4c252caf2ebf1464220599650f119997; compiled by 'sjlee' on 2016-10-02T23:43Z
STARTUP_MSG:   java = 1.8.0_191
************************************************************/
18/12/17 17:47:17 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
18/12/17 17:47:17 INFO namenode.NameNode: createNameNode [-format]
Formatting using clusterid: CID-beba43b4-0881-48b4-8eda-5c3bca046398
18/12/17 17:47:17 INFO namenode.FSNamesystem: No KeyProvider found.
18/12/17 17:47:17 INFO namenode.FSNamesystem: fsLock is fair:true
18/12/17 17:47:17 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000
18/12/17 17:47:17 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
18/12/17 17:47:17 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000
18/12/17 17:47:17 INFO blockmanagement.BlockManager: The block deletion will start around 2018 Dec 17 17:47:17
18/12/17 17:47:17 INFO util.GSet: Computing capacity for map BlocksMap
18/12/17 17:47:17 INFO util.GSet: VM type       = 64-bit
18/12/17 17:47:17 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB
18/12/17 17:47:17 INFO util.GSet: capacity      = 2^21 = 2097152 entries
18/12/17 17:47:17 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
18/12/17 17:47:17 INFO blockmanagement.BlockManager: defaultReplication         = 2
18/12/17 17:47:17 INFO blockmanagement.BlockManager: maxReplication             = 512
18/12/17 17:47:17 INFO blockmanagement.BlockManager: minReplication             = 1
18/12/17 17:47:17 INFO blockmanagement.BlockManager: maxReplicationStreams      = 2
18/12/17 17:47:17 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
18/12/17 17:47:17 INFO blockmanagement.BlockManager: encryptDataTransfer        = false
18/12/17 17:47:17 INFO blockmanagement.BlockManager: maxNumBlocksToLog          = 1000
18/12/17 17:47:17 INFO namenode.FSNamesystem: fsOwner             = root (auth:SIMPLE)
18/12/17 17:47:17 INFO namenode.FSNamesystem: supergroup          = supergroup
18/12/17 17:47:17 INFO namenode.FSNamesystem: isPermissionEnabled = false
18/12/17 17:47:17 INFO namenode.FSNamesystem: HA Enabled: false
18/12/17 17:47:17 INFO namenode.FSNamesystem: Append Enabled: true
18/12/17 17:47:17 INFO util.GSet: Computing capacity for map INodeMap
18/12/17 17:47:17 INFO util.GSet: VM type       = 64-bit
18/12/17 17:47:17 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB
18/12/17 17:47:17 INFO util.GSet: capacity      = 2^20 = 1048576 entries
18/12/17 17:47:17 INFO namenode.NameNode: Caching file names occuring more than 10 times
18/12/17 17:47:17 INFO util.GSet: Computing capacity for map cachedBlocks
18/12/17 17:47:17 INFO util.GSet: VM type       = 64-bit
18/12/17 17:47:17 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB
18/12/17 17:47:17 INFO util.GSet: capacity      = 2^18 = 262144 entries
18/12/17 17:47:17 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
18/12/17 17:47:17 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
18/12/17 17:47:17 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension     = 30000
18/12/17 17:47:17 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
18/12/17 17:47:17 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
18/12/17 17:47:17 INFO util.GSet: Computing capacity for map NameNodeRetryCache
18/12/17 17:47:17 INFO util.GSet: VM type       = 64-bit
18/12/17 17:47:17 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB
18/12/17 17:47:17 INFO util.GSet: capacity      = 2^15 = 32768 entries
18/12/17 17:47:17 INFO namenode.NNConf: ACLs enabled? false
18/12/17 17:47:17 INFO namenode.NNConf: XAttrs enabled? true
18/12/17 17:47:17 INFO namenode.NNConf: Maximum size of an xattr: 16384
18/12/17 17:47:17 INFO namenode.FSImage: Allocated new BlockPoolId: BP-233285725-127.0.0.1-1545040037972
18/12/17 17:47:18 INFO common.Storage: Storage directory /data/hadoop/hdfs/name has been successfully formatted.
18/12/17 17:47:18 INFO namenode.FSImageFormatProtobuf: Saving image file /data/hadoop/hdfs/name/current/fsimage.ckpt_0000000000000000000 using no compression
18/12/17 17:47:18 INFO namenode.FSImageFormatProtobuf: Image file /data/hadoop/hdfs/name/current/fsimage.ckpt_0000000000000000000 of size 321 bytes saved in 0 seconds.
18/12/17 17:47:18 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
18/12/17 17:47:18 INFO util.ExitUtil: Exiting with status 0
18/12/17 17:47:18 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at localhost/127.0.0.1
************************************************************/

HDFS 启动

启动：start-dfs.sh，根据提示一路 yes

这个命令效果：
主节点会启动任务：NameNode 和 SecondaryNameNode
从节点会启动任务：DataNode


主节点查看：jps，可以看到：
21922 Jps
21603 NameNode
21787 SecondaryNameNode


从节点查看：jps 可以看到：
19728 DataNode
19819 Jps

查看运行更多情况：hdfs dfsadmin -report

Configured Capacity: 0 (0 B)
Present Capacity: 0 (0 B)
DFS Remaining: 0 (0 B)
DFS Used: 0 (0 B)
DFS Used%: NaN%
Under replicated blocks: 0
Blocks with corrupt replicas: 0
Missing blocks: 0

如果需要停止：stop-dfs.sh
查看 log：cd $HADOOP_HOME/logs

YARN 运行

start-yarn.sh
然后 jps 你会看到一个：ResourceManager 

从节点你会看到：NodeManager

停止：stop-yarn.sh

端口情况

主节点当前运行的所有端口：netstat -tpnl | grep java
会用到端口（为了方便展示，整理下顺序）：

tcp        0      0 172.16.0.17:9000        0.0.0.0:*               LISTEN      22932/java >> NameNode
tcp        0      0 0.0.0.0:50070           0.0.0.0:*               LISTEN      22932/java >> NameNode
tcp        0      0 0.0.0.0:50090           0.0.0.0:*               LISTEN      23125/java >> SecondaryNameNode
tcp6       0      0 172.16.0.17:8030      :::*                    LISTEN      23462/java   >> ResourceManager
tcp6       0      0 172.16.0.17:8031      :::*                    LISTEN      23462/java   >> ResourceManager
tcp6       0      0 172.16.0.17:8032      :::*                    LISTEN      23462/java   >> ResourceManager
tcp6       0      0 172.16.0.17:8033      :::*                    LISTEN      23462/java   >> ResourceManager
tcp6       0      0 172.16.0.17:8088      :::*                    LISTEN      23462/java   >> ResourceManager

从节点当前运行的所有端口：netstat -tpnl | grep java
会用到端口（为了方便展示，整理下顺序）：

tcp        0      0 0.0.0.0:50010           0.0.0.0:*               LISTEN      14545/java >> DataNode
tcp        0      0 0.0.0.0:50020           0.0.0.0:*               LISTEN      14545/java >> DataNode
tcp        0      0 0.0.0.0:50075           0.0.0.0:*               LISTEN      14545/java >> DataNode
tcp6       0      0 :::8040                 :::*                    LISTEN      14698/java >> NodeManager
tcp6       0      0 :::8042                 :::*                    LISTEN      14698/java >> NodeManager
tcp6       0      0 :::13562                :::*                    LISTEN      14698/java >> NodeManager
tcp6       0      0 :::37481                :::*                    LISTEN      14698/java >> NodeManager

管理界面

查看 HDFS NameNode 管理界面：http://linux01:50070
访问 YARN ResourceManager 管理界面：http://linux01:8088
访问 NodeManager-1 管理界面：http://linux02:8042
访问 NodeManager-2 管理界面：http://linux03:8042

运行作业

在主节点上操作
运行一个 Mapreduce 作业试试：
- 计算 π：hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.5.jar pi 5 10
运行一个文件相关作业：
- 由于运行 hadoop 时指定的输入文件只能是 HDFS 文件系统中的文件，所以我们必须将要进行 wordcount 的文件从本地文件系统拷贝到 HDFS 文件系统中。
- 查看目前根目录结构：hadoop fs -ls /
  - 查看目前根目录结构，另外写法：hadoop fs -ls hdfs://linux-05:9000/
  - 或者列出目录以及下面的文件：hadoop fs -ls -R /
  - 更多命令可以看：hadoop HDFS常用文件操作命令
- 创建目录：hadoop fs -mkdir -p /tmp/zch/wordcount_input_dir
- 上传文件：hadoop fs -put /opt/input.txt /tmp/zch/wordcount_input_dir
- 查看上传的目录下是否有文件：hadoop fs -ls /tmp/zch/wordcount_input_dir
- 向 yarn 提交作业，计算单词个数：hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.5.jar wordcount /tmp/zch/wordcount_input_dir /tmp/zch/wordcount_output_dir
- 查看计算结果输出的目录：hadoop fs -ls /tmp/zch/wordcount_output_dir
- 查看计算结果输出内容：hadoop fs -cat /tmp/zch/wordcount_output_dir/part-r-00000
查看正在运行的 Hadoop 任务：yarn application -list
关闭 Hadoop 任务进程：yarn application -kill 你的ApplicationId

Bash 常用命令

CentOS 7 安装

Bash 其他常用命令

Linux 介绍

Zookeeper 安装

FTP（File Transfer Protocol）介绍

CI 一整套服务

LDAP 安装和配置

Kubernets（K8S）使用

Hadoop 安装和配置

Gitlab 安装和配置

Rinetd：一个用户端口重定向工具

Error: ENOSPC: System limit for number of file watchers reached

使用Nginx转发TCP/UDP

Linux系统编写Systemd Service实践

Linux安装rinetd实现TCP/UDP端口转发

使用Nginx进行TCP/UDP端口转发

linux系统中rsync+inotify实现服务器之间文件实时同步

rsync 用法教程

Centos 6无法使用yum解决办法(centos6停止更新)

Nginx配置中不同请求匹配不同请求

使用 flock 文件锁解决 crontab 冲突问题

Ubuntu扩展 /dev/mapper/ubuntu--vg-ubuntu--lv空间

搭建RTMP直播流服务器实现直播

FRP使用

Hadoop 安装和配置

Hadoop 说明

基础环境

集群环境设置

Hadoop 安装

修改 linux01 配置

linux01 机子运行

HDFS 启动

YARN 运行

端口情况

管理界面

运行作业

资料

No Comments

Bash 常用命令

CentOS 7 安装

Bash 其他常用命令

Linux 介绍

Zookeeper 安装

FTP（File Transfer Protocol）介绍

CI 一整套服务

LDAP 安装和配置

Kubernets（K8S） 使用

Hadoop 安装和配置

Gitlab 安装和配置

Rinetd：一个用户端口重定向工具

Error: ENOSPC: System limit for number of file watchers reached

使用Nginx转发TCP/UDP

Linux系统编写Systemd Service实践

Linux安装rinetd实现TCP/UDP端口转发

使用Nginx进行TCP/UDP端口转发

linux系统中rsync+inotify实现服务器之间文件实时同步

rsync 用法教程

Centos 6无法使用yum解决办法(centos6停止更新)

Nginx配置中不同请求匹配不同请求

使用 flock 文件锁解决 crontab 冲突问题

Ubuntu扩展 /dev/mapper/ubuntu--vg-ubuntu--lv空间

搭建RTMP直播流服务器实现直播

FRP使用

Hadoop 安装和配置

Hadoop 说明

基础环境

集群环境设置

Hadoop 安装

修改 linux01 配置

linux01 机子运行

HDFS 启动

YARN 运行

端口情况

管理界面

运行作业

资料

No Comments

Kubernets（K8S）使用