大数据-hadoop-hdfs环境搭建-连载之03（2019-05-29）

最新推荐文章于 2023-10-28 18:44:38 发布

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最新推荐文章于 2023-10-28 18:44:38 发布

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分类专栏： hadoop

本文链接：https://blog.youkuaiyun.com/weixin_38638777/article/details/90671822

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博客推荐大数据学习官网http://www.apache.org/，介绍了hadoop2.8.1伪分布式环境搭建，在02基础上继续搭建mapreduce和yarn，给出参考博客链接，还说明了采用系统默认的wordcount运行程序及相关文件数据和目录要求。

关于大数据学习的最好的网站就是官网http://www.apache.org/

参考资料：http://www.apache.org/

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hadoop2.8.1 伪分布式环境搭建

在02的基础上，（参见https://mp.youkuaiyun.com/postedit/90669594）继续搭建mapreduce和yarn ，

官方参考资料全部来源在
http://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-common/SingleCluster.html#Pseudo-Distributed_Operation


1. cd /opt/moudle/hadoop2.8.1 
  
2. vi etc/hadoop/mapred-site.xml

添加内容
     <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property
3.  vi etc/hadoop/mapred-site.xml
添加内容
     <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>

4.启动yarn 资源调度器
    start-yarn.sh 

5. jps
 查看java进程

3687 Jps
3335 ResourceManager
2153 NameNode
2281 DataNode
2443 SecondaryNameNode
3438 NodeManager


 mapreduce 是一个计算框架，


6.尝试使用官方的例子测试一下

参考博客连接：

https://blog.youkuaiyun.com/u012343297/article/details/79978526

采用系统默认的wordcount 运行程序

hadoop jar /opt/module/hadoop-2.8.1/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.8.1.jar wordcount /1.txt /output
1.txt 文件里面存放了数据例如aaaa f f s d ad a das da da d ad a d 这种数据

/output 必须是一个不存在的目录，否则

执行过程：

19/05/30 00:29:12 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
19/05/30 00:29:13 INFO input.FileInputFormat: Total input files to process : 1
19/05/30 00:29:13 INFO mapreduce.JobSubmitter: number of splits:1
19/05/30 00:29:13 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1559144078198_0001
19/05/30 00:29:14 INFO impl.YarnClientImpl: Submitted application application_1559144078198_0001
19/05/30 00:29:14 INFO mapreduce.Job: The url to track the job: http://localhost:8088/proxy/application_1559144078198_0001/
19/05/30 00:29:14 INFO mapreduce.Job: Running job: job_1559144078198_0001
19/05/30 00:29:24 INFO mapreduce.Job: Job job_1559144078198_0001 running in uber mode : false
19/05/30 00:29:24 INFO mapreduce.Job:  map 0% reduce 0%
19/05/30 00:29:32 INFO mapreduce.Job:  map 100% reduce 0%
19/05/30 00:29:38 INFO mapreduce.Job:  map 100% reduce 100%
19/05/30 00:29:39 INFO mapreduce.Job: Job job_1559144078198_0001 completed successfully
19/05/30 00:29:39 INFO mapreduce.Job: Counters: 49
        File System Counters
                FILE: Number of bytes read=55
                FILE: Number of bytes written=272557
                FILE: Number of read operations=0
                FILE: Number of large read operations=0
                FILE: Number of write operations=0
                HDFS: Number of bytes read=122
                HDFS: Number of bytes written=25
                HDFS: Number of read operations=6
                HDFS: Number of large read operations=0
                HDFS: Number of write operations=2
        Job Counters
                Launched map tasks=1
                Launched reduce tasks=1
                Data-local map tasks=1
                Total time spent by all maps in occupied slots (ms)=4760
                Total time spent by all reduces in occupied slots (ms)=3669
                Total time spent by all map tasks (ms)=4760
                Total time spent by all reduce tasks (ms)=3669
                Total vcore-milliseconds taken by all map tasks=4760
                Total vcore-milliseconds taken by all reduce tasks=3669
                Total megabyte-milliseconds taken by all map tasks=4874240
                Total megabyte-milliseconds taken by all reduce tasks=3757056
        Map-Reduce Framework
                Map input records=15
                Map output records=14
                Map output bytes=85
                Map output materialized bytes=55
                Input split bytes=92
                Combine input records=14
                Combine output records=6
                Reduce input groups=6
                Reduce shuffle bytes=55
                Reduce input records=6
                Reduce output records=6
                Spilled Records=12
                Shuffled Maps =1
                Failed Shuffles=0
                Merged Map outputs=1
                GC time elapsed (ms)=216
                CPU time spent (ms)=1230
                Physical memory (bytes) snapshot=426430464
                Virtual memory (bytes) snapshot=4178669568
                Total committed heap usage (bytes)=280494080
        Shuffle Errors
                BAD_ID=0
                CONNECTION=0
                IO_ERROR=0
                WRONG_LENGTH=0
                WRONG_MAP=0
                WRONG_REDUCE=0
        File Input Format Counters
                Bytes Read=30
        File Output Format Counters
                Bytes Written=25


查看结果

[root@hadoop opt]# hdfs dfs -lsr   /
lsr: DEPRECATED: Please use 'ls -R' instead.
-rw-r--r--   1 root supergroup         30 2019-05-30 00:25 /1.txt
drwxr-xr-x   - root supergroup          0 2019-05-30 00:29 /output
-rw-r--r--   1 root supergroup          0 2019-05-30 00:29 /output/_SUCCESS
-rw-r--r--   1 root supergroup         25 2019-05-30 00:29 /output/part-r-00000
drwx------   - root supergroup          0 2019-05-30 00:29 /tmp
drwx------   - root supergroup          0 2019-05-30 00:29 /tmp/hadoop-yarn
drwx------   - root supergroup          0 2019-05-30 00:29 /tmp/hadoop-yarn/staging
drwxr-xr-x   - root supergroup          0 2019-05-30 00:29 /tmp/hadoop-yarn/staging/history
drwxrwxrwt   - root supergroup          0 2019-05-30 00:29 /tmp/hadoop-yarn/staging/history/done_intermediate
drwxrwx---   - root supergroup          0 2019-05-30 00:29 /tmp/hadoop-yarn/staging/history/done_intermediate/root
-rwxrwx---   1 root supergroup      33561 2019-05-30 00:29 /tmp/hadoop-yarn/staging/history/done_intermediate/root/job_1559144078198_0001-1559147353861-root-word+count-1559147377370-1-1-SUCCEEDED-default-1559147363243.jhist
-rwxrwx---   1 root supergroup        347 2019-05-30 00:29 /tmp/hadoop-yarn/staging/history/done_intermediate/root/job_1559144078198_0001.summary
-rwxrwx---   1 root supergroup     134620 2019-05-30 00:29 /tmp/hadoop-yarn/staging/history/done_intermediate/root/job_1559144078198_0001_conf.xml
drwx------   - root supergroup          0 2019-05-30 00:29 /tmp/hadoop-yarn/staging/root
drwx------   - root supergroup          0 2019-05-30 00:29 /tmp/hadoop-yarn/staging/root/.staging


查看运行结果

[root@hadoop opt]# hdfs dfs -cat   /output/part-r-00000
a       3
b       3
c       3
d       2
qa      1
v       2

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