大数据入门介绍二

雨点打透心脏的1/2处 2024-02-19 17:25 18阅读 0赞

**1.hdfs三个进程要以hadoop002启动**

etc/hadoop 这里是版本的不同  
conf  
很多数大数据组建几乎是一层目录 以前的版本是没有的，现在是ect/hadoop

[hadoop@hadoop002 hadoop]$ ll
    total 140
    -rw-r--r-- 1 hadoop hadoop   884 Feb 13 22:34 core-site.xml    hadoop三个组建hdfs  mapreduce   yarn 核心的共有的东西拿出来  
    -rw-r--r-- 1 hadoop hadoop  4294 Feb 13 22:30 hadoop-env.sh  JDK目录和 hadoop家目录
    
    -rw-r--r-- 1 hadoop hadoop   867 Feb 13 22:34 hdfs-site.xml  
    
    -rw-r--r-- 1 hadoop hadoop 11291 Mar 24  2016 log4j.properties
    
    -rw-r--r-- 1 hadoop hadoop   758 Mar 24  2016 mapred-site.xml.template
    -rw-r--r-- 1 hadoop hadoop    10 Mar 24  2016 slaves
    
    -rw-r--r-- 1 hadoop hadoop   690 Mar 24  2016 yarn-site.xml
    [hadoop@hadoop002 hadoop]$

hadoop: hdfs mapreduce yarn 有这3个组建  
需要部署 不需要部署 需要部署

生产 学习: 不用ip部署，统一机器名称hostname部署  
**只需要/etc/hosts 修改即可(第一行 第二行不要删除)  
在vi /etc/hosts 文件做好映射，  
例如：172.31.236.240 hadoop002 以后再网段变更的时候，只要把前面改掉就可以了。  
里面的文件第一行和第二行不要删掉，否则会出现问题**

### 更改的是：namenode进程: ###

[hadoop@hadoop002 hadoop]$ vi core-site.xml 
    
    <configuration>
        <property>
            <name>fs.defaultFS</name>
            <value>hdfs://hadoop002:9000</value>
        </property>
    </configuration>

### datanode进程: ###

[hadoop@hadoop002 hadoop]$ vi slaves  这里是配置namenode的小弟
    hadoop002更改成机器名字，如果有很多用逗号分隔，
    
    secondarynamenode进程:
    <property>
    	<name>dfs.namenode.secondary.http-address</name>
    	<value>hadoop002:50090</value>
    </property>
    <property>
    	<name>dfs.namenode.secondary.https-address</name>
    	<value>hadoop002:50091</value>
    </property>

他的配置在哪里寻找官网  
百度：cdh tar  
搜索你的hadoop的版本带cdh的  
在最下面找到配置文件

[hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ 
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ cd
    [hadoop@hadoop002 ~]$ 
    [hadoop@hadoop002 ~]$ 
    [hadoop@hadoop002 ~]$ 
    [hadoop@hadoop002 ~]$ ll
    total 8
    drwxrwxr-x 3 hadoop hadoop 4096 Feb 13 22:21 app
    drwxrwxr-x 8 hadoop hadoop 4096 Feb 13 20:46 d5
    [hadoop@hadoop002 ~]$ ll -a
    total 68
    drwx------  7 hadoop hadoop  4096 Feb 16 20:25 .
    drwxr-xr-x. 5 root   root    4096 Oct 22 10:45 ..
    drwxrwxr-x  3 hadoop hadoop  4096 Feb 13 22:21 app
    -rw-------  1 hadoop hadoop 15167 Feb 13 23:29 .bash_history
    -rw-r--r--  1 hadoop hadoop    18 Mar 23  2017 .bash_logout
    -rw-r--r--  1 hadoop hadoop   293 Sep 19 23:22 .bash_profile
    -rw-r--r--  1 hadoop hadoop   124 Mar 23  2017 .bashrc
    drwxrwxr-x  8 hadoop hadoop  4096 Feb 13 20:46 d5
    drwxrw----  3 hadoop hadoop  4096 Sep 19 17:01 .pki
    drwx------  2 hadoop hadoop  4096 Feb 13 22:39 .ssh
    drwxr-xr-x  2 hadoop hadoop  4096 Oct 14 20:57 .vim
    -rw-------  1 hadoop hadoop  8995 Feb 16 20:25 .viminfo
    [hadoop@hadoop002 ~]$ ll .ssh
    total 16
    -rw------- 1 hadoop hadoop  398 Feb 13 22:37 authorized_keys
    -rw------- 1 hadoop hadoop 1675 Feb 13 22:36 id_rsa
    -rw-r--r-- 1 hadoop hadoop  398 Feb 13 22:36 id_rsa.pub
    -rw-r--r-- 1 hadoop hadoop  780 Feb 13 22:49 known_hosts

重新构建ssh信任关系 之前的配置也是可以的，但是我们为了统一 重新再来一次配置

[hadoop@hadoop002 ~]$ rm -rf .ssh
    [hadoop@hadoop002 ~]$ ssh-keygen
    Generating public/private rsa key pair.
    Enter file in which to save the key (/home/hadoop/.ssh/id_rsa): 
    Created directory '/home/hadoop/.ssh'.
    Enter passphrase (empty for no passphrase): 
    Enter same passphrase again: 
    Your identification has been saved in /home/hadoop/.ssh/id_rsa.
    Your public key has been saved in /home/hadoop/.ssh/id_rsa.pub.
    The key fingerprint is:
    ca:e4:a1:fc:9f:e2:86:e7:9c:ab:f2:19:7a:70:c5:3d hadoop@hadoop002
    The key's randomart image is:
    +--[ RSA 2048]----+
    |                 |
    |                 |
    |     . .         |
    |      o E        |
    |     .o S.       |
    |  ...= o         |
    |   o+.+          |
    |  ..o=+. .       |
    |  .++*B+o        |
    +-----------------+
    [hadoop@hadoop002 ~]$ cd .ssh
    [hadoop@hadoop002 .ssh]$ ll
    total 8
    -rw------- 1 hadoop hadoop 1675 Feb 16 20:27 id_rsa
    -rw-r--r-- 1 hadoop hadoop  398 Feb 16 20:27 id_rsa.pub
    [hadoop@hadoop002 .ssh]$ cat id_rsa.pub >>  authorized_keys
    [hadoop@hadoop002 .ssh]$ 
    [hadoop@hadoop002 .ssh]$ ll
    total 12
    -rw-rw-r-- 1 hadoop hadoop  398 Feb 16 20:27 authorized_keys
    -rw------- 1 hadoop hadoop 1675 Feb 16 20:27 id_rsa
    -rw-r--r-- 1 hadoop hadoop  398 Feb 16 20:27 id_rsa.pub
    [hadoop@hadoop002 .ssh]$ 
    [hadoop@hadoop002 .ssh]$ 
    [hadoop@hadoop002 .ssh]$ 
    [hadoop@hadoop002 .ssh]$ 
    [hadoop@hadoop002 .ssh]$ cd
    [hadoop@hadoop002 ~]$ cd app/hadoop-2.6.0-cdh5.7.0
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ sbin/start-dfs.sh 
    19/02/16 20:28:25 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
    Starting namenodes on [hadoop002]
    The authenticity of host 'hadoop002 (172.31.236.240)' can't be established.
    RSA key fingerprint is b1:94:33:ec:95:89:bf:06:3b:ef:30:2f:d7:8e:d2:4c.
    Are you sure you want to continue connecting (yes/no)? yes
    hadoop002: Warning: Permanently added 'hadoop002,172.31.236.240' (RSA) to the list of known hosts.
    hadoop@hadoop002's password: 
    
    [2]+  Stopped                 sbin/start-dfs.sh
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ ^C
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ jps
    962 Jps
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ ps -ef|grep start-dfs.sh
    hadoop     790   349  0 20:25 pts/0    00:00:00 bash sbin/start-dfs.sh
    hadoop     887   349  0 20:28 pts/0    00:00:00 bash sbin/start-dfs.sh
    hadoop     977   349  0 20:28 pts/0    00:00:00 grep start-dfs.sh
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ 
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ kill -9 790 887
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ cd
    [1]-  Killed                  sbin/start-dfs.sh  (wd: ~/app/hadoop-2.6.0-cdh5.7.0)
    (wd now: ~)
    [2]+  Killed                  sbin/start-dfs.sh  (wd: ~/app/hadoop-2.6.0-cdh5.7.0)
    (wd now: ~)
    [hadoop@hadoop002 ~]$ cd .ssh
    [hadoop@hadoop002 .ssh]$ ll
    total 16
    -rw-rw-r-- 1 hadoop hadoop  398 Feb 16 20:27 authorized_keys
    -rw------- 1 hadoop hadoop 1675 Feb 16 20:27 id_rsa
    -rw-r--r-- 1 hadoop hadoop  398 Feb 16 20:27 id_rsa.pub
    -rw-r--r-- 1 hadoop hadoop  406 Feb 16 20:28 known_hosts
    [hadoop@hadoop002 .ssh]$ chmod 600 authorized_keys
    [hadoop@hadoop002 .ssh]$ 
    [hadoop@hadoop002 .ssh]$ cd -
    /home/hadoop
    [hadoop@hadoop002 ~]$ cd app/hadoop-2.6.0-cdh5.7.0

### 启动hdfs 发现三个进程都以hadoop002启动 ###

[hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ sbin/start-dfs.sh 
    19/02/16 20:29:33 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
    Starting namenodes on [hadoop002]
    hadoop002: starting namenode, logging to /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/logs/hadoop-hadoop-namenode-hadoop002.out
    hadoop002: starting datanode, logging to /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/logs/hadoop-hadoop-datanode-hadoop002.out
    Starting secondary namenodes [hadoop002]
    hadoop002: starting secondarynamenode, logging to /home/hadoop/app/hadoop-2.6.0-cdh5.7.0/logs/hadoop-hadoop-secondarynamenode-hadoop002.out
    19/02/16 20:29:48 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$

### 2.jps命令的真相 ###

2.1位置哪里的

[hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ which jps
    /usr/java/jdk1.8.0_45/bin/jps

2.2对应的进程的标识文件在哪 /tmp/hsperfdata\_进程用户名称  
\[hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0\]$ cd /tmp  
在ll  
找到这个hsperfdata\_hadoop

[hadoop@hadoop002 hsperfdata_hadoop]$ pwd
    /tmp/hsperfdata_hadoop
    [hadoop@hadoop002 hsperfdata_hadoop]$ ll
    total 96
    -rw------- 1 hadoop hadoop 32768 Feb 16 20:35 1086
    -rw------- 1 hadoop hadoop 32768 Feb 16 20:35 1210
    -rw------- 1 hadoop hadoop 32768 Feb 16 20:35 1378
    [hadoop@hadoop002 hsperfdata_hadoop]$

2.3  
root用户看所有用户的jps结果  
普通用户只能看自己的当前用户jps进程，，

2.4 process information unavailable 信息不可用  
真假判断: ps -ef|grep namenode 真正判断进程是否可用  
出来有进程，就是真的，这里最好使用namenode 来代替1378

[root@hadoop002 ~]# jps
    1520 Jps
    1378 -- process information unavailable
    1210 -- process information unavailable  
    1086 -- process information unavailable
    [root@hadoop002 ~]# 
    [root@hadoop002 ~]# 
    [root@hadoop002 ~]# 
    [root@hadoop002 ~]#

生产环境:  
hadoop: hdfs组件 hdfs用户  
root用户或sudo权限的用户取获取

kill: 人为 进程在Linux看来是耗内存最大的 自动给你kill

[root@hadoop002 tmp]# rm -rf hsperfdata_hadoop
    [root@hadoop002 tmp]# 
    [root@hadoop002 tmp]# jps
    1906 Jps
    [root@hadoop002 tmp]#

3.pid文件 集群进程启动和停止要的文件

-rw-rw-r-- 1 hadoop hadoop    5 Feb 16 20:56 hadoop-hadoop-datanode.pid
    -rw-rw-r-- 1 hadoop hadoop    5 Feb 16 20:56 hadoop-hadoop-namenode.pid
    -rw-rw-r-- 1 hadoop hadoop    5 Feb 16 20:57 hadoop-hadoop-secondarynamenode.pid

### Linux在tmp命令 定期删除一些文件和文件夹 30天周期 ###

### 解决： ###

[hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ vi /etc/hadoop/hdaoop_env .sh
    # The directory where pid files are stored. /tmp by default.
    # NOTE: this should be set to a directory that can only be written to by 
    #       the user that will run the hadoop daemons.  Otherwise there is the
    #       potential for a symlink attack.
    export HADOOP_PID_DIR=${HADOOP_PID_DIR} 
    
    mkdir /data/tmp
    chmod -R 777 /data/tmp
    export HADOOP_PID_DIR=/data/tmp

MapReduce: 计算的 是jar包提交的Yarn上 本身不需要部署  
Yarn: 资源CPU和内存 和作业调度 是需要部署的

MapReduce on Yarn
    
    
    Configure parameters as follows:
    etc/hadoop/mapred-site.xml:
    
    mapred-site.xml这个文件需要cp一份 
    
    <configuration>
        <property>
            <name>mapreduce.framework.name</name>
            <value>yarn</value>
        </property>
    </configuration>
    这个配置说明 MapReduce跑在yarn上面
    
    etc/hadoop/yarn-site.xml:
    <configuration>
        <property>
            <name>yarn.nodemanager.aux-services</name>
            <value>mapreduce_shuffle</value>
        </property>
    </configuration>

Start  
ResourceManager daemon 老大 资源管理者  
NodeManager daemon 小弟 节点管理者

### $ sbin/start-yarn.sh 启动 ###

Browse the web interface for the ResourceManager; by default it is available at:
    ResourceManager - http://localhost:8088/
    
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ jps
    4001 NodeManager
    3254 SecondaryNameNode
    3910 ResourceManager
    3563 NameNode
    4317 Jps
    3087 DataNode
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ 
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$

[http://47.75.249.8:8088/][http_47.75.249.8_8088] 打开yarn的网页浏览器

hadoop-hadoop-datanode-hadoop002.log 日志文件  
hadoop-用户-进程名称-机器名称  
hdfs

**排查错误;**  
vi :/搜索 对于小的文件大小  
tail -200f xxx.log 到看200行 这里只能小写f  
另外窗口重启进程 为了再现这个错误

sz 上传到windows editplus去定位查看 备份  
你的错误一定是最新的，直接拉到最下面就可以看到了，

5.运行mr mapreduce  
map 映射  
reduce 规约  
map和reduce在运行的时候，map不是运行完，reduce在运行的，map是先运行，reduce也会运行的

\[hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0\]$ hadoop jar ./share/hadoop/mapreduce2/hadoop-mapreduce-examples-2.6.0-cdh5.7.0.jar pi 5 10

词频统计 例子：mapreduce 用它来算出单词出现的个数

[hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ vi a.log  创建一个a文件
    ruoze
    jepson
    www.ruozedata.com
    dashu
    adai
    fanren
    1
    a
    b
    c
    a b c ruoze jepon
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ vi b.txt
    a b d e f ruoze
    1 1 3 5
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ hdfs dfs  -mkdir /wordcount
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ hdfs dfs  -mkdir /wordcount/input  输入文件夹
    
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ hdfs dfs -put a.log /wordcount/input  文件上传
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ hdfs dfs -put b.txt /wordcount/input   文件上传
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ hdfs dfs -ls /wordcount/input/
    Found 2 items
    -rw-r--r--   1 hadoop supergroup         76 2019-02-16 21:59 /wordcount/input/a.log
    -rw-r--r--   1 hadoop supergroup         24 2019-02-16 21:59 /wordcount/input/b.txt
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ 
    
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ hadoop jar \
    ./share/hadoop/mapreduce2/hadoop-mapreduce-examples-2.6.0-cdh5.7.0.jar \
    wordcount /wordcount/input /wordcount/output1     1代表第一次
    
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ hdfs dfs -cat /wordcount/output1/part-r-00000
    -cat是查看  
    19/02/16 22:05:46 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
    1       3
    3       1
    5       1
    a       3
    adai    1
    b       3
    c       2
    d       1
    dashu   1
    e       1
    f       1
    fanren  1
    jepon   1
    jepson  1
    ruoze   3
    www.ruozedata.com       1
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ hdfs dfs -get /wordcount/output1/part-r-00000 ./
    -get是下载
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$ cat part-r-00000
    1       3
    3       1
    5       1
    a       3
    adai    1
    b       3
    c       2
    d       1
    dashu   1
    e       1
    f       1
    fanren  1
    jepon   1
    jepson  1
    ruoze   3
    www.ruozedata.com       1
    [hadoop@hadoop002 hadoop-2.6.0-cdh5.7.0]$

[http_47.75.249.8_8088]: http://47.75.249.8:8088/