Hadoop-MR实现日志清洗（四）
6.单机部署Hadoop（伪分布式）
在我们自己购买的阿里云Linux主机上部署单机hadoop，测试我们的mapreduce程序。也可以在windows上安装虚拟机部署。
6.1配置Java环境
下载jdk-8u171-linux-x64.tar.gz后上传到主机，解压缩：
tar zxf jdk-8u171-linux-x64.tar.gz得到文件夹：jdk1.8.0_171
我们把该文件夹放在/opt下
/opt/jdk1.8.0_171
在用户家目录下的配置文件.bash_profile或者.bashrc中新增：
export JAVA_HOME=/opt/jdk1.8.0_171
export JRE_HOME=/opt/jdk1.8.0_171/jre
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JRE_HOME/lib:$CLASSPATH
export PATH=$JAVA_HOME/bin:$PATH6.2用户配置
我们只是想部署单机并试运行我们的程序，暂定用已有的用户账号，比如udp.
如后续遇到异常，再考虑新增hadoop用户。
6.3安装hadoop
官网下载hadoop-2.7.6.tar.gz，上传到目录 /home/udp/
解压缩：
tar zxf hadoop-2.7.6.tar.gz得到：hadoop-2.7.6
创建指向Hadoop安装目录的环境变量：
export HADOOP_HOME=/home/udp/hadoop-2.7.6
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin注:sbin目录下有运行Hadoop守护进程的脚本，因此如果计划在本地机器上运行守护进程的话，需要将该目录包含在命令行路径中。
在配置文件添加后，如果要立即生效，可以这样：
source .bash_profile测试Hadoop是否工作：
[udp@izbp19z77mlz0veyvkh5cuz ~]$ hadoop version
Hadoop 2.7.6
Subversion https://shv@git-wip-us.apache.org/repos/asf/hadoop.git -r 085099c66cf28be31604560c376fa282e69282b8
Compiled by kshvachk on 2018-04-18T01:33Z
Compiled with protoc 2.5.0
From source with checksum 71e2695531cb3360ab74598755d036
This command was run using /home/udp/hadoop-2.7.6/share/hadoop/common/hadoop-common-2.7.6.jar6.4配置
对于Hadoop的各个组件的XML文件配置的介绍可以参考官网，主要是core-site.xml、hdfs-site.xml、mapred-site.xml、yarn-site.xml。这些文件位于etc/hadoop目录。
Hadoop有三种运行模式：
独立模式（本地）：无需运行任何守护进程，该模式用于开发阶段测试调试MapReduce程序。（即我们在Windows上导入Hadoop-JAR包，进行开发的模式）。Hadoop的默认属性专为独立模式设定，无需更多操作。
伪分布式：Hadoop守护进程运行在本地，模拟一个小规模集群。
完全分布式：Hadoop守护进程运行在集群上。
三种模式各个组件（Common、HDFS、MapReduce、YARN）的关键属性（fs.defaultFS、dfs.replication、mapreduce.framework.name、<yarn.resourcemanager.hostnam,yarn.nodemanager.aux-services>）配置不同.
这里介绍伪分布式配置。
6.4.1 伪分布式—配置文件
如果没有相应的配置文件，可以使用模板文件复制一份，比如cp mapred-site.xml.template mapred-site.xml
<!-- core-site.xml -->
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost/</value>>
</property>
</configuration>
<!-- hdfs-site.xml -->
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>>
</property>
</configuration>
<!-- mapred-site.xml -->
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>>
</property>
</configuration>
<!-- yarn-site.xml -->
<configuration>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>localhost</value>>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>>
</property>
</configuration>6.4.2伪分布式—SSH
SSH是用来连接到各个主机并启动一个守护进程的，在该模式下，主机就是本地计算机，因此要确保用户能够SSH到本地主机，并且可以不输入密码登陆。
基于空口令生成一个新的SSH密钥，以实现无密码登陆：
[udp@izbp19z77mlz0veyvkh5cuz .ssh]$ ssh-keygen -t rsa
Generating public/private rsa key pair.
Enter file in which to save the key (/home/udp/.ssh/id_rsa):
Enter passphrase (empty for no passphrase):
Enter same passphrase again:
Your identification has been saved in /home/udp/.ssh/id_rsa.
Your public key has been saved in /home/udp/.ssh/id_rsa.pub.
The key fingerprint is:
a2:29:7c:d5:d2:5d:b1:70:20:c4:06:69:81:20:bd:17 udp@izbp19z77mlz0veyvkh5cuz
The key's randomart image is:
+--[ RSA 2048]----+
|.... .o*o o.o |
| .. E o o. o o |
| . o . o |
| . . o . . |
| . + S . |
| . + o |
| o + |
| o |
| |
+-----------------+
[udp@izbp19z77mlz0veyvkh5cuz .ssh]$ ll
total 8
-rw------- 1 udp udp 1679 Sep 4 10:03 id_rsa
-rw-r--r-- 1 udp udp 409 Sep 4 10:03 id_rsa.pub
[udp@izbp19z77mlz0veyvkh5cuz .ssh]$ cat id_rsa.pub >>authorized_keys
[udp@izbp19z77mlz0veyvkh5cuz .ssh]$ ll
total 12
-rw-rw-r-- 1 udp udp 409 Sep 4 10:03 authorized_keys
-rw------- 1 udp udp 1679 Sep 4 10:03 id_rsa
-rw-r--r-- 1 udp udp 409 Sep 4 10:03 id_rsa.pub
[udp@izbp19z77mlz0veyvkh5cuz .ssh]$ chmod 600 authorized_keys
[udp@izbp19z77mlz0veyvkh5cuz .ssh]$ ll
total 12
-rw------- 1 udp udp 409 Sep 4 10:03 authorized_keys
-rw------- 1 udp udp 1679 Sep 4 10:03 id_rsa
-rw-r--r-- 1 udp udp 409 Sep 4 10:03 id_rsa.pub
[udp@izbp19z77mlz0veyvkh5cuz .ssh]$ ssh localhost
The authenticity of host 'localhost (127.0.0.1)' can't be established.
ECDSA key fingerprint is e3:16:a8:f4:d0:58:2a:f3:2b:a2:4f:7c:71:f1:e5:4b.
Are you sure you want to continue connecting (yes/no)? yes
Warning: Permanently added 'localhost' (ECDSA) to the list of known hosts.
Last login: Tue Sep 4 10:01:07 2018 from 127.0.0.1
Welcome to Alibaba Cloud Elastic Compute Service !
[udp@izbp19z77mlz0veyvkh5cuz ~]$注意点：
产生私钥和公钥的时候，是三次回车；也可以 一次生成：ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa
authorized_keys需要授权为600，亲测不授权的时候仍然要输入密码才行
6.4.3伪分布式—HDFS文件系统
首次使用Hadoop前，必须格式化文件系统，格式化命令：
[udp@izbp19z77mlz0veyvkh5cuz ~]$ hdfs namenode -format
18/09/04 10:07:35 INFO namenode.NameNode: STARTUP_MSG:
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG: host = izbp19z77mlz0veyvkh5cuz/172.16.253.218
STARTUP_MSG: args = [-format]
STARTUP_MSG: version = 2.7.6
STARTUP_MSG: classpath = /home/udp/hadoop-2.7.6/etc/hadoop:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-io-2.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-lang-2.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-beanutils-1.7.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/mockito-all-1.8.5.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-digester-1.8.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jackson-xc-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jetty-sslengine-6.1.26.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/servlet-api-2.5.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/slf4j-api-1.7.10.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/hamcrest-core-1.3.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/log4j-1.2.17.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jackson-core-asl-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/htrace-core-3.1.0-incubating.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/gson-2.2.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-logging-1.1.3.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/apacheds-kerberos-codec-2.0.0-M15.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-cli-1.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-collections-3.2.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/asm-3.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jackson-jaxrs-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/xz-1.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jersey-server-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jersey-core-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/hadoop-annotations-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/protobuf-java-2.5.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/paranamer-2.3.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jackson-mapper-asl-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-codec-1.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/httpclient-4.2.5.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jettison-1.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jetty-util-6.1.26.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/activation-1.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/zookeeper-3.4.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jsch-0.1.54.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jets3t-0.9.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-configuration-1.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/junit-4.11.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jsp-api-2.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/guava-11.0.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/avro-1.7.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jsr305-3.0.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-beanutils-core-1.8.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/apacheds-i18n-2.0.0-M15.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-httpclient-3.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jetty-6.1.26.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/curator-framework-2.7.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jersey-json-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/netty-3.6.2.Final.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/curator-client-2.7.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/stax-api-1.0-2.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/snappy-java-1.0.4.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/api-util-1.0.0-M20.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-compress-1.4.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/xmlenc-0.52.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-math3-3.1.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/httpcore-4.2.5.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/hadoop-auth-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/api-asn1-api-1.0.0-M20.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jaxb-api-2.2.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/jaxb-impl-2.2.3-1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/commons-net-3.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/lib/curator-recipes-2.7.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/hadoop-common-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/hadoop-common-2.7.6-tests.jar:/home/udp/hadoop-2.7.6/share/hadoop/common/hadoop-nfs-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/commons-io-2.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/commons-lang-2.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/xercesImpl-2.9.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/servlet-api-2.5.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/xml-apis-1.3.04.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/log4j-1.2.17.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/jackson-core-asl-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/htrace-core-3.1.0-incubating.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/commons-logging-1.1.3.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/commons-cli-1.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/asm-3.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/leveldbjni-all-1.8.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/jersey-server-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/jersey-core-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/protobuf-java-2.5.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/jackson-mapper-asl-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/commons-codec-1.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/jetty-util-6.1.26.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/guava-11.0.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/jsr305-3.0.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/jetty-6.1.26.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/netty-3.6.2.Final.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/commons-daemon-1.0.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/xmlenc-0.52.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/lib/netty-all-4.0.23.Final.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/hadoop-hdfs-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/hadoop-hdfs-nfs-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/hdfs/hadoop-hdfs-2.7.6-tests.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jersey-guice-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/commons-io-2.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/commons-lang-2.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jackson-xc-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/servlet-api-2.5.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/log4j-1.2.17.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jackson-core-asl-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/commons-logging-1.1.3.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/commons-cli-1.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/guice-3.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/commons-collections-3.2.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/asm-3.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/leveldbjni-all-1.8.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jackson-jaxrs-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jersey-client-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/xz-1.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jersey-server-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jersey-core-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/protobuf-java-2.5.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jackson-mapper-asl-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/commons-codec-1.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jettison-1.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jetty-util-6.1.26.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/activation-1.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/zookeeper-3.4.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/aopalliance-1.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/guava-11.0.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jsr305-3.0.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/javax.inject-1.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jetty-6.1.26.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jersey-json-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/netty-3.6.2.Final.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/stax-api-1.0-2.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/guice-servlet-3.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/zookeeper-3.4.6-tests.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/commons-compress-1.4.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jaxb-api-2.2.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/lib/jaxb-impl-2.2.3-1.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-server-sharedcachemanager-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-client-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-server-resourcemanager-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-api-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-server-web-proxy-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-applications-unmanaged-am-launcher-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-registry-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-server-applicationhistoryservice-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-server-common-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-applications-distributedshell-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-common-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/yarn/hadoop-yarn-server-tests-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/jersey-guice-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/commons-io-2.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/hamcrest-core-1.3.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/log4j-1.2.17.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/jackson-core-asl-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/guice-3.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/asm-3.2.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/leveldbjni-all-1.8.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/xz-1.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/jersey-server-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/jersey-core-1.9.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/hadoop-annotations-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/protobuf-java-2.5.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/paranamer-2.3.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/jackson-mapper-asl-1.9.13.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/aopalliance-1.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/junit-4.11.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/avro-1.7.4.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/javax.inject-1.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/netty-3.6.2.Final.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/snappy-java-1.0.4.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/guice-servlet-3.0.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/lib/commons-compress-1.4.1.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/hadoop-mapreduce-client-core-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.7.6-tests.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-plugins-2.7.6.jar:/home/udp/hadoop-2.7.6/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.6.jar:/home/udp/hadoop-2.7.6/contrib/capacity-scheduler/*.jar
STARTUP_MSG: build = https://shv@git-wip-us.apache.org/repos/asf/hadoop.git -r 085099c66cf28be31604560c376fa282e69282b8; compiled by 'kshvachk' on 2018-04-18T01:33Z
STARTUP_MSG: java = 1.8.0_171
************************************************************/
18/09/04 10:07:35 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
18/09/04 10:07:35 INFO namenode.NameNode: createNameNode [-format]
Formatting using clusterid: CID-3830a161-2f63-43a4-a316-7abab85f3859
18/09/04 10:07:37 INFO namenode.FSNamesystem: No KeyProvider found.
18/09/04 10:07:37 INFO namenode.FSNamesystem: fsLock is fair: true
18/09/04 10:07:37 INFO namenode.FSNamesystem: Detailed lock hold time metrics enabled: false
18/09/04 10:07:37 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000
18/09/04 10:07:37 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
18/09/04 10:07:37 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000
18/09/04 10:07:37 INFO blockmanagement.BlockManager: The block deletion will start around 2018 Sep 04 10:07:37
18/09/04 10:07:37 INFO util.GSet: Computing capacity for map BlocksMap
18/09/04 10:07:37 INFO util.GSet: VM type = 64-bit
18/09/04 10:07:37 INFO util.GSet: 2.0% max memory 966.7 MB = 19.3 MB
18/09/04 10:07:37 INFO util.GSet: capacity = 2^21 = 2097152 entries
18/09/04 10:07:37 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
18/09/04 10:07:37 INFO blockmanagement.BlockManager: defaultReplication = 1
18/09/04 10:07:37 INFO blockmanagement.BlockManager: maxReplication = 512
18/09/04 10:07:37 INFO blockmanagement.BlockManager: minReplication = 1
18/09/04 10:07:37 INFO blockmanagement.BlockManager: maxReplicationStreams = 2
18/09/04 10:07:37 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
18/09/04 10:07:37 INFO blockmanagement.BlockManager: encryptDataTransfer = false
18/09/04 10:07:37 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000
18/09/04 10:07:37 INFO namenode.FSNamesystem: fsOwner = udp (auth:SIMPLE)
18/09/04 10:07:37 INFO namenode.FSNamesystem: supergroup = supergroup
18/09/04 10:07:37 INFO namenode.FSNamesystem: isPermissionEnabled = true
18/09/04 10:07:37 INFO namenode.FSNamesystem: HA Enabled: false
18/09/04 10:07:37 INFO namenode.FSNamesystem: Append Enabled: true
18/09/04 10:07:38 INFO util.GSet: Computing capacity for map INodeMap
18/09/04 10:07:38 INFO util.GSet: VM type = 64-bit
18/09/04 10:07:38 INFO util.GSet: 1.0% max memory 966.7 MB = 9.7 MB
18/09/04 10:07:38 INFO util.GSet: capacity = 2^20 = 1048576 entries
18/09/04 10:07:38 INFO namenode.FSDirectory: ACLs enabled? false
18/09/04 10:07:38 INFO namenode.FSDirectory: XAttrs enabled? true
18/09/04 10:07:38 INFO namenode.FSDirectory: Maximum size of an xattr: 16384
18/09/04 10:07:38 INFO namenode.NameNode: Caching file names occuring more than 10 times
18/09/04 10:07:38 INFO util.GSet: Computing capacity for map cachedBlocks
18/09/04 10:07:38 INFO util.GSet: VM type = 64-bit
18/09/04 10:07:38 INFO util.GSet: 0.25% max memory 966.7 MB = 2.4 MB
18/09/04 10:07:38 INFO util.GSet: capacity = 2^18 = 262144 entries
18/09/04 10:07:38 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
18/09/04 10:07:38 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
18/09/04 10:07:38 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 30000
18/09/04 10:07:38 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10
18/09/04 10:07:38 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10
18/09/04 10:07:38 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25
18/09/04 10:07:38 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
18/09/04 10:07:38 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
18/09/04 10:07:38 INFO util.GSet: Computing capacity for map NameNodeRetryCache
18/09/04 10:07:38 INFO util.GSet: VM type = 64-bit
18/09/04 10:07:38 INFO util.GSet: 0.029999999329447746% max memory 966.7 MB = 297.0 KB
18/09/04 10:07:38 INFO util.GSet: capacity = 2^15 = 32768 entries
18/09/04 10:07:38 INFO namenode.FSImage: Allocated new BlockPoolId: BP-402938250-172.16.253.218-1536026858689
18/09/04 10:07:38 INFO common.Storage: Storage directory /tmp/hadoop-udp/dfs/name has been successfully formatted.
18/09/04 10:07:38 INFO namenode.FSImageFormatProtobuf: Saving image file /tmp/hadoop-udp/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression
18/09/04 10:07:39 INFO namenode.FSImageFormatProtobuf: Image file /tmp/hadoop-udp/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 319 bytes saved in 0 seconds.
18/09/04 10:07:39 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
18/09/04 10:07:39 INFO util.ExitUtil: Exiting with status 0
18/09/04 10:07:39 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at izbp19z77mlz0veyvkh5cuz/172.16.253.218
************************************************************/格式化文件系统后，重启下机器。
6.4.4伪分布式—启动守护进程
为启动HDFS、YARN和MapReduce守护进程，执行命令：
start-dfs.sh
start-yarn.sh
mr-jobhistory-daemon.sh start historyserver终止守护进程：
mr-jobhistory-daemon.sh stop historyserver
stop-yarn.sh
stop-dfs.sh我们这里存在一点问题：
- 问题1：
[udp@izbp19z77mlz0veyvkh5cuz ~]$ hadoop fs -ls /
ls: Call From izbp19z77mlz0veyvkh5cuz/172.16.253.218 to localhost:8020 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused内存太小，导致namenode进程丢失
- 问题2：
[udp@izbp19z77mlz0veyvkh5cuz ~]$ jps
31426 DataNode
32645 Jps
32183 JobHistoryServer
31613 SecondaryNameNode
似乎namenode不正常
一开始没重启主机即启动，后来重启主机后：
一开始只启动了hdfs：
[udp@izbp19z77mlz0veyvkh5cuz ~]$ jps
2883 NameNode
3289 Jps
2986 DataNode
3151 SecondaryNameNode
启动其他进程后：
2986 DataNode
3787 JobHistoryServer
3452 NodeManager
3341 ResourceManager
3886 Jps
3151 SecondaryNameNode怀疑主机内存太小（ 1 GB），导致进程丢失。
关掉其他进程，只启动hdfs：
[udp@izbp19z77mlz0veyvkh5cuz ~]$ start-dfs.sh
Starting namenodes on [localhost]
localhost: starting namenode, logging to /home/udp/hadoop-2.7.6/logs/hadoop-udp-namenode-izbp19z77mlz0veyvkh5cuz.out
localhost: starting datanode, logging to /home/udp/hadoop-2.7.6/logs/hadoop-udp-datanode-izbp19z77mlz0veyvkh5cuz.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /home/udp/hadoop-2.7.6/logs/hadoop-udp-secondarynamenode-izbp19z77mlz0veyvkh5cuz.out
[udp@izbp19z77mlz0veyvkh5cuz ~]$ jps
4848 SecondaryNameNode
4963 Jps
4550 NameNode
4682 DataNode
[udp@izbp19z77mlz0veyvkh5cuz ~]$ hadoop fs -ls /
Found 1 items
drwxrwx--- - udp supergroup 0 2018-09-04 11:03 /tmp可以使用HDFS了,由此可以知道，内存太小，无法运行伪分布式所有守护进程。
- 问题3：
hadoop没有正确识别JAVA_HOME，在 etc/hadoop/hadoop-env.sh中配置下JAVA_HOME
#export JAVA_HOME=${JAVA_HOME}
export JAVA_HOME=/opt/jdk1.8.0_171
最终，关闭阿里云主机上所有其他用户的应用进程，启动了三个守护进程
[udp@izbp19z77mlz0veyvkh5cuz ~]$ jps
4848 SecondaryNameNode
5252 NodeManager
5684 JobHistoryServer
4550 NameNode
5145 ResourceManager
4682 DataNode
5772 Jps
[udp@izbp19z77mlz0veyvkh5cuz ~]$ hadoop fs -mkdir -p /user/$USER
[udp@izbp19z77mlz0veyvkh5cuz ~]$ hadoop fs -ls /
Found 2 items
drwxrwx--- - udp supergroup 0 2018-09-04 11:03 /tmp
drwxr-xr-x - udp supergroup 0 2018-09-04 11:27 /user
[udp@izbp19z77mlz0veyvkh5cuz ~]$ hadoop fs -ls /user/
Found 1 items
drwxr-xr-x - udp supergroup 0 2018-09-04 11:27 /user/udp
[udp@izbp19z77mlz0veyvkh5cuz ~]$阿里云运行端口查看：
netstat -npl
[udp@izbp19z77mlz0veyvkh5cuz logs]$ netstat -npl
(Not all processes could be identified, non-owned process info
will not be shown, you would have to be root to see it all.)
Active Internet connections (only servers)
Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name
tcp 0 0 127.0.0.1:35494 0.0.0.0:* LISTEN 4682/java
tcp 0 0 0.0.0.0:8040 0.0.0.0:* LISTEN 5252/java
tcp 0 0 0.0.0.0:8042 0.0.0.0:* LISTEN 5252/java
tcp 0 0 0.0.0.0:50090 0.0.0.0:* LISTEN 4848/java
tcp 0 0 0.0.0.0:19888 0.0.0.0:* LISTEN 5684/java
tcp 0 0 0.0.0.0:10033 0.0.0.0:* LISTEN 5684/java
tcp 0 0 127.0.0.1:8020 0.0.0.0:* LISTEN 4550/java
tcp 0 0 0.0.0.0:50070 0.0.0.0:* LISTEN 4550/java
tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN -
tcp 0 0 127.0.0.1:8088 0.0.0.0:* LISTEN 5145/java
tcp 0 0 0.0.0.0:13562 0.0.0.0:* LISTEN 5252/java
tcp 0 0 0.0.0.0:50010 0.0.0.0:* LISTEN 4682/java
tcp 0 0 0.0.0.0:50075 0.0.0.0:* LISTEN 4682/java
tcp 0 0 127.0.0.1:8030 0.0.0.0:* LISTEN 5145/java
tcp 0 0 127.0.0.1:8031 0.0.0.0:* LISTEN 5145/java
tcp 0 0 127.0.0.1:8032 0.0.0.0:* LISTEN 5145/java
tcp 0 0 127.0.0.1:32000 0.0.0.0:* LISTEN -
tcp 0 0 127.0.0.1:8033 0.0.0.0:* LISTEN 5145/java
tcp 0 0 0.0.0.0:10020 0.0.0.0:* LISTEN 5684/java
tcp 0 0 0.0.0.0:36740 0.0.0.0:* LISTEN 5252/java
tcp 0 0 0.0.0.0:50020 0.0.0.0:* LISTEN 4682/java
udp 0 0 172.16.253.218:123 0.0.0.0:* -
udp 0 0 127.0.0.1:123 0.0.0.0:* -
udp 0 0 0.0.0.0:123 0.0.0.0:* -
udp6 0 0 :::123 :::* -
raw 0 0 172.16.253.218:6 0.0.0.0:* 7 -6.4.5Web页面查看
阿里云安全组里开放端口50070（web for hdfs-namenode）、50070(web for hdfs-datenode)、8088(web for yarn-ResourceManger)
浏览器访问：http://47.99.32.214:50070/ （47.99.32.214是我的阿里云ECS主机外网地址）
8088是ResourceManger程序使用，本地jianting 127.0.0.1:8080 ，外部监听 0.0.0.0:*
Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name
tcp 0 0 127.0.0.1:8088 0.0.0.0:* LISTEN 5145/java
现在无法通过 http://47.99.32.214:8088/访问，不知道为啥~~~
阿里云已配置
7.集群测试mapreduce
打包mapreduce程序和数据上传到HDFS，进行测试。
7.1打包java类
项目打包成JAR文件，一种是非MAVEN项目，使用IDEA自己的方法，比较繁琐，本次不细记；另一种是MAVEN项目，Maven也有自己的打Jar包命令，当然也可以用IDEA的可视化命令图标，这是最方便的。
一键打包成JAR
执行命令后：
7.2上传到HDFS
先将JAR文件和日志文件上传(ftp或rz命令)到linux主机，上传后：
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$ ll -R
.:
total 12
-rw-rw-r-- 1 udp udp 7481 Sep 4 12:53 hadoop-mapreduce-1.0-SNAPSHOT.jar
drwxrwxr-x 2 udp udp 4096 Sep 4 13:19 input
./input:
total 213052
-rw-r--r-- 1 udp udp 61084192 Aug 27 11:22 access_2013_05_30.log
-rw-r--r-- 1 udp udp 157069653 Aug 27 11:22 access_2013_05_31.log然后上传到HDFS文件系统：
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$ hadoop fs -mkdir /user/udp/mapreduce
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$ hadoop fs -mkdir /user/udp/mapreduce/input/
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$ ll
total 12
-rw-rw-r-- 1 udp udp 7481 Sep 4 12:53 hadoop-mapreduce-1.0-SNAPSHOT.jar
drwxrwxr-x 2 udp udp 4096 Sep 4 13:19 input
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$ pwd
/home/udp/mapreduce
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$ hadoop fs -put ./input/* /user/udp/mapreduce/input/
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$ hadoop fs -put hadoop-mapreduce-1.0-SNAPSHOT.jar /user/udp/mapreduce/
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$ hadoop fs -ls /user/udp/mapreduce/
Found 2 items
-rw-r--r-- 1 udp supergroup 7481 2018-09-04 13:26 /user/udp/mapreduce/hadoop-mapreduce-1.0-SNAPSHOT.jar
drwxr-xr-x - udp supergroup 0 2018-09-04 13:26 /user/udp/mapreduce/input
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$ hadoop fs -ls /user/udp/mapreduce/input/
Found 2 items
-rw-r--r-- 1 udp supergroup 61084192 2018-09-04 13:26 /user/udp/mapreduce/input/access_2013_05_30.log
-rw-r--r-- 1 udp supergroup 157069653 2018-09-04 13:26 /user/udp/mapreduce/input/access_2013_05_31.log
[udp@izbp19z77mlz0veyvkh5cuz mapreduce]$7.3运行程序
hadoop jar ./hadoop-mapreduce-1.0-SNAPSHOT.jar com.leeyk99.hadoop.mapreduce.LogParser /user/udp/mapreduce/input/ /user/udp/mapreduce/output/- ./hadoop-mapreduce-1.0-SNAPSHOT.jar : 使用的是本地系统上的jar文件，而不是上传到HDFS上的。
- com.leeyk99.hadoop.mapreduce.LogParser：如果有命名空间（包），需要写全
由于阿里云主机内存实在太小，无法完整运行。
来源：oschina
链接：https://my.oschina.net/u/4263629/blog/3839762